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SuperSkin Persona Journeys

Purpose: Deep-dive into how three distinct user archetypes interact with SuperSkin across simple and complex scenarios
Companion to: USER_FLOWS.md
Last Updated: January 2026


The Three Archetypesโ€‹

SuperSkin is designed to serve everyone from the casual weekend bettor to the full-time professional trader. However, each persona has fundamentally different needs, risk tolerances, and sophistication levels. The system adapts to serve each effectively.

ArchetypeProfileGoalRisk AppetiteSystem Role
๐ŸŽฐ The Casual PunterBets for fun, follows favorite teamsEntertainment + occasional winsLowProtector & Guide
๐Ÿงฎ The Semi-ProAnalytical, tracks bets, seeks edgeConsistent profitMediumResearch Partner & Edge Finder
๐ŸŽฏ The ProfessionalFull-time trader, sophisticatedMaximum ROI, portfolio managementHigh (calculated)Execution Engine & Risk Manager

๐ŸŽฐ ARCHETYPE 1: The Casual Punterโ€‹

Meet Rajuโ€‹

Demographics:

  • Age: 28, Sales Executive in Pune
  • Betting budget: โ‚น500-2,000 per weekend
  • Betting experience: 3 years (casual)
  • Typical bets: IPL, Premier League, World Cup events
  • Devices: Mobile only (Android)

Behavioral Profile:

  • Bets on teams he supports emotionally
  • Doesn't understand odds math or probability
  • Gets excited by big accumulators with huge potential payouts
  • Chases losses after a bad beat
  • Cash outs too early when nervous, too late when greedy
  • Thinks he's "due" for a win after a losing streak

Pain Points:

  • "I always pick the wrong team"
  • "Bookmakers are cheating me somehow"
  • "I won โ‚น5,000 last month but lost โ‚น8,000 - where did it go?"
  • "My friend told me about a 'sure thing' and it lost"

What Raju DOESN'T Know:

  • Bookmaker margins are eating 5-10% of every bet
  • His accumulator addiction has -35% ROI
  • He bets 3x more after losses (revenge betting)
  • His late-night bets perform 40% worse

How SuperSkin Helps Rajuโ€‹

The system acts as a Protector - saving Raju from himself while keeping betting fun.

The Invisible Safety Netโ€‹

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ›ก๏ธ WHAT SUPERSKIN DOES BEHIND THE SCENES FOR RAJU โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ DETECTION ACTION โ”‚
โ”‚ โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ โ”‚
โ”‚ Raju places 4th acca this week โ†’ Gentle nudge: "Singles win โ”‚
โ”‚ more for you - try one?" โ”‚
โ”‚ โ”‚
โ”‚ Loss + immediate new bet โ†’ "Take a 30-min break? Your โ”‚
โ”‚ next-bet success drops 40% โ”‚
โ”‚ right after losses" โ”‚
โ”‚ โ”‚
โ”‚ Betting at 11:30 PM โ†’ "Night owl? Your evening โ”‚
โ”‚ bets are -18% vs daytime" โ”‚
โ”‚ โ”‚
โ”‚ โ‚น3,000 on one match (3x usual) โ†’ "This is bigger than normal. โ”‚
โ”‚ Sure about โ‚น3,000?" โ”‚
โ”‚ โ”‚
โ”‚ Cashing out with 80%+ prob โ†’ "You've left money on table โ”‚
โ”‚ 5 times this month - hold?" โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Raju's Story: The IPL Finalโ€‹

Scenario: It's IPL Final day. MI vs CSK. Raju supports MI.

Scene 1: Morning (10 AM)โ€‹

Raju opens SuperSkin. The app knows it's IPL Final day and knows Raju loves MI.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ IPL FINAL DAY! โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ MI vs CSK โ€ข Tonight 7:30 PM โ”‚
โ”‚ โ”‚
โ”‚ ๐Ÿ“Š YOUR MI RECORD THIS SEASON: โ”‚
โ”‚ โ”œโ”€โ”€ Bets on MI: 8 โ”‚
โ”‚ โ”œโ”€โ”€ Won: 5 (62%) โ”‚
โ”‚ โ”œโ”€โ”€ Profit: +โ‚น2,400 โ”‚
โ”‚ โ””โ”€โ”€ Best bet: MI vs RCB @ 2.30 (+โ‚น1,300) โ”‚
โ”‚ โ”‚
โ”‚ ๐Ÿ’ก "You do well betting ON MI, not against them!" โ”‚
โ”‚ โ”‚
โ”‚ CURRENT ODDS: โ”‚
โ”‚ MI: 2.15 (Bet365 best) | CSK: 1.78 (Pinnacle best) โ”‚
โ”‚ โ”‚
โ”‚ [Set Alert When Odds Change] [View Analysis] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening: The app shows Raju data about HIS history with MI, not generic stats. This builds confidence based on facts, not emotion.

Scene 2: Afternoon (3 PM) - The Temptationโ€‹

Raju's friend texts: "Bro, 10-leg acca paying 500x. MI+CSK top scorer+boundaries combo. Put โ‚น500 win โ‚น2.5 lakh!"

Raju opens SuperSkin to build the same accumulator.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐ŸŽฏ ACCUMULATOR BUILDER โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ Your 10-leg accumulator: โ”‚
โ”‚ Combined odds: 487x | Stake: โ‚น500 | Potential: โ‚น2,43,500 โ”‚
โ”‚ โ”‚
โ”‚ โš ๏ธ RAJU, CAN WE TALK? โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ YOUR ACCUMULATOR HISTORY: โ”‚
โ”‚ โ”‚ โ”œโ”€โ”€ 10+ leg accas placed: 12 โ”‚
โ”‚ โ”‚ โ”œโ”€โ”€ Won: 0 (0%) โ”‚
โ”‚ โ”‚ โ”œโ”€โ”€ Total lost: โ‚น6,200 โ”‚
โ”‚ โ”‚ โ””โ”€โ”€ Expected win rate: 0.2% โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ This bet has 99.8% chance of losing. โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ ๐Ÿ’ก ALTERNATIVE (same excitement, better odds): โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ Instead of 1 ร— โ‚น500 on 10-leg: โ”‚
โ”‚ โ”‚ Try 5 ร— โ‚น100 on 2-leg accas โ”‚
โ”‚ โ”‚ โ€ข Your 2-leg acca win rate: 34% โ”‚
โ”‚ โ”‚ โ€ข Expected profit: +โ‚น180 vs -โ‚น497 on 10-leg โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ [BUILD 5 SMALL ACCAS] [PROCEED WITH 10-LEG ANYWAY] โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening: SuperSkin doesn't BAN accumulators - that would make Raju leave. Instead, it shows HIS data (12 attempts, 0 wins) and offers a psychologically similar but mathematically better alternative.

Raju's Decision: He still places the 10-leg (FOMO with his friend) but now has doubt. When it inevitably loses, he remembers the warning. Next time, he might choose differently.

Scene 3: Pre-Match (6:30 PM) - Smart Bettingโ€‹

After the 10-leg loses its first leg, Raju returns to place a "real" bet.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ PLACE YOUR BET โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ MI vs CSK โ”‚
โ”‚ โ”‚
โ”‚ YOUR SELECTION: MI to win โ”‚
โ”‚ โ”‚
โ”‚ BEST ODDS COMPARISON: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Bookmaker โ”‚ Odds โ”‚ On โ‚น1,000 you get โ”‚ Difference โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ Bet365 โ”‚ 2.15 โ”‚ โ‚น2,150 โ”‚ BEST ๐Ÿ† โ”‚
โ”‚ โ”‚ Betway โ”‚ 2.08 โ”‚ โ‚น2,080 โ”‚ โ‚น70 less โ”‚
โ”‚ โ”‚ 1xBet โ”‚ 2.12 โ”‚ โ‚น2,120 โ”‚ โ‚น30 less โ”‚
โ”‚ โ”‚ Pinnacle โ”‚ 2.10 โ”‚ โ‚น2,100 โ”‚ โ‚น50 less โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ ๐Ÿ’ฐ By using Bet365 instead of Betway, you get โ‚น70 extra โ”‚
โ”‚ if MI wins! โ”‚
โ”‚ โ”‚
โ”‚ SUGGESTED STAKE: โ‚น800 โ”‚
โ”‚ (Based on your usual IPL stakes) โ”‚
โ”‚ โ”‚
โ”‚ [BET โ‚น800 @ 2.15] [CHANGE AMOUNT] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening:

  1. Shows price comparison in MONEY terms, not percentages (Raju doesn't think in %)
  2. Suggests a stake based on his history (prevents impulsive over-betting)
  3. One-click to best odds (reduces friction)

Scene 4: Live Match (8:30 PM) - Cash Out Guidanceโ€‹

MI is 120/4 chasing 175. Raju is panicking. He opens the app.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ’ฐ CASH OUT AVAILABLE โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ MI vs CSK โ€ข MI need 55 from 30 balls โ”‚
โ”‚ โ”‚
โ”‚ YOUR BET: MI to win @ 2.15 (โ‚น800) โ”‚
โ”‚ โ”‚
โ”‚ CASH OUT NOW: โ‚น680 โ”‚
โ”‚ (You lose โ‚น120 if you cash out) โ”‚
โ”‚ โ”‚
โ”‚ IF MI WINS: โ‚น1,720 โ”‚
โ”‚ (You profit โ‚น920) โ”‚
โ”‚ โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ ๐Ÿ“Š LET'S THINK ABOUT THIS... โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ MI win probability: 58% โ”‚
โ”‚ โ”‚ Required run rate: 11.0 (current rate: 10.2) โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ HARDIK PANDYA is at the crease (avg 38 @ SR 152) โ”‚
โ”‚ โ”‚ This is the kind of situation MI wins from. โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ ๐Ÿ’ก YOUR PATTERN: โ”‚
โ”‚ โ”‚ "Raju, last 4 times you cashed out in IPL chases, โ”‚
โ”‚ โ”‚ the team you backed won 3 times. You left โ‚น2,100 โ”‚
โ”‚ โ”‚ on the table." โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ This is a HOLD situation for most bettors. โ”‚
โ”‚ โ”‚ But it's your money - you decide. โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ [CASH OUT โ‚น680] [WAIT] [PARTIAL: โ‚น340] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening: SuperSkin provides:

  1. Simple math (what you get now vs what you could get)
  2. Context (Pandya batting, run rate comparison)
  3. Personal history (you've cashed out wrong before)
  4. A middle option (partial cash out)
  5. NO guilt - "it's your money"

Raju's Decision: He does a partial cash out (โ‚น340), keeping excitement while securing some return.

Result: MI wins. Raju gets โ‚น340 (cashed) + โ‚น460 (remaining bet wins) = โ‚น800. Broke even but learned something.


Raju: Simple vs Complex Scenariosโ€‹

ScenarioWhat Raju WantsWhat SuperSkin Does
SIMPLE: Find best odds"Where do I bet on MI?"Show odds comparison in rupees, highlight best, one-click to place
SIMPLE: Check his bets"Did I win?"Push notification with result, profit/loss in simple terms
SIMPLE: Cash out"Take money now?"Show cash out vs potential, personal history of similar decisions
COMPLEX: Multi-match day"5 matches today, which to bet?"Rank by HIS success rate in those leagues, highlight where he wins
COMPLEX: Build accumulator"I want to build a 5-leg acca"Show his acca history, suggest optimal leg count based on his data
COMPLEX: Recover from losses"Lost โ‚น2,000, how to get it back?"Show he's on tilt, suggest break, show expected recovery timeline

๐Ÿงฎ ARCHETYPE 2: The Semi-Proโ€‹

Meet Snehaโ€‹

Demographics:

  • Age: 31, Data Analyst at a tech company (Bangalore)
  • Betting budget: โ‚น20,000-50,000 per month
  • Betting experience: 5 years (increasingly analytical)
  • Typical bets: Value-based, researched selections across multiple sports
  • Devices: Laptop (primary) + Mobile for alerts

Behavioral Profile:

  • Maintains a spreadsheet tracking all bets
  • Calculates odds and margins manually
  • Reads team news and injury reports
  • Understands expected value and probability
  • Occasionally falls for "smart-sounding" but wrong strategies
  • Gets frustrated when she can't find value
  • Over-optimizes and sometimes misses good bets

Pain Points:

  • "I spend 2 hours finding value bets that could be automated"
  • "I know bookmakers have edges but calculating true odds is hard"
  • "Sometimes I bet on everything that looks like value and lose discipline"
  • "I want to improve but don't know which of my strategies actually work"

What Sneha DOES Know:

  • Expected value concept
  • How to read odds movements
  • That accumulators are -EV
  • Kelly criterion (in theory)

What Sneha DOESN'T Know:

  • Which of her own strategies actually make money
  • When she's over-betting on marginal edges
  • That her Serie A draws are +34% ROI (hidden in spreadsheet noise)
  • She bets worse after midnight (fatigue)

How SuperSkin Helps Snehaโ€‹

The system acts as a Research Partner - automating the grunt work and surfacing hidden insights.

The Intelligence Dashboardโ€‹

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ“Š SNEHA'S VALUE HUNTING DASHBOARD โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ PERSONALIZED VALUE FEED (based on your criteria): โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Match โ”‚ Bet โ”‚ Edge โ”‚ Conf โ”‚ Your ROI โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ Napoli vs Inter โ”‚ Draw โ”‚ +9.2% โ”‚ 82% โ”‚ +34% ๐Ÿ”ฅ โ”‚
โ”‚ โ”‚ Bayern vs Dortmund โ”‚ BTTS Yes โ”‚ +6.8% โ”‚ 76% โ”‚ +18% โ”‚
โ”‚ โ”‚ RCB vs MI โ”‚ MI Win โ”‚ +5.4% โ”‚ 71% โ”‚ +22% โ”‚
โ”‚ โ”‚ Chelsea vs Arsenal โ”‚ Under 2.5 โ”‚ +4.1% โ”‚ 68% โ”‚ -8% โš ๏ธ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ ๐Ÿ”ฅ = You're historically profitable on this bet type โ”‚
โ”‚ โš ๏ธ = You've lost money on similar bets - proceed carefully โ”‚
โ”‚ โ”‚
โ”‚ QUICK FILTERS: โ”‚
โ”‚ [โญโญโญ Only] [Edge >7%] [Conf >75%] [My Profitable Markets] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Sneha's Story: The Data-Driven Weekโ€‹

Scenario: It's Monday morning. Sneha has 30 minutes to plan her week's betting strategy before work.

Scene 1: Weekly Strategy Setup (7:30 AM)โ€‹

Sneha opens SuperSkin's "Strategy" view.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ“… WEEKLY PLANNER โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ LAST WEEK'S PERFORMANCE: โ”‚
โ”‚ โ”œโ”€โ”€ Bets placed: 18 โ”‚
โ”‚ โ”œโ”€โ”€ Won: 11 | Lost: 7 โ”‚
โ”‚ โ”œโ”€โ”€ Staked: โ‚น24,500 โ”‚
โ”‚ โ”œโ”€โ”€ Returns: โ‚น29,180 โ”‚
โ”‚ โ””โ”€โ”€ Profit: +โ‚น4,680 (+19.1% ROI) โ”‚
โ”‚ โ”‚
โ”‚ ๐Ÿ“Š WHAT WORKED LAST WEEK: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Category โ”‚ Bets โ”‚ Win% โ”‚ ROI โ”‚ Comment โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ Serie A Draws โ”‚ 4 โ”‚ 75% โ”‚ +42% โ”‚ Your edge ๐Ÿ† โ”‚
โ”‚ โ”‚ IPL Value Picks โ”‚ 5 โ”‚ 60% โ”‚ +24% โ”‚ Consistent โ”‚
โ”‚ โ”‚ EPL 1X2 โ”‚ 6 โ”‚ 50% โ”‚ +8% โ”‚ Okay โ”‚
โ”‚ โ”‚ Tennis O/U โ”‚ 3 โ”‚ 33% โ”‚ -18% โ”‚ Avoid? ๐Ÿšซ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ ๐Ÿ’ก AI INSIGHT: โ”‚
โ”‚ "Your Serie A draw strategy has +38% ROI over 3 months. โ”‚
โ”‚ This week has 4 Serie A matches fitting your criteria. โ”‚
โ”‚ Suggested allocation: 40% of weekly budget to draws." โ”‚
โ”‚ โ”‚
โ”‚ THIS WEEK'S OPPORTUNITIES (pre-scanned): โ”‚
โ”‚ โ”œโ”€โ”€ Serie A: 4 draw candidates (Tue, Wed, Sat, Sun) โ”‚
โ”‚ โ”œโ”€โ”€ IPL: 6 matches, 2 show value โ”‚
โ”‚ โ”œโ”€โ”€ Champions League: 8 matches, 3 strong signals โ”‚
โ”‚ โ””โ”€โ”€ TOTAL: 9 potential value bets โ”‚
โ”‚ โ”‚
โ”‚ SUGGESTED WEEKLY ALLOCATION: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Total Budget: โ‚น25,000 โ”‚
โ”‚ โ”‚ โ”œโ”€โ”€ Serie A Draws: โ‚น10,000 (40%) โ”‚
โ”‚ โ”‚ โ”œโ”€โ”€ IPL Singles: โ‚น7,500 (30%) โ”‚
โ”‚ โ”‚ โ”œโ”€โ”€ CL Value: โ‚น5,000 (20%) โ”‚
โ”‚ โ”‚ โ””โ”€โ”€ Reserve: โ‚น2,500 (10%) โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ [ACCEPT PLAN] [MODIFY] [VIEW DETAILED MATCHES] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening: SuperSkin has:

  1. Analyzed her 3-month history to find winning strategies
  2. Pre-scanned the week's fixtures for matching opportunities
  3. Suggested budget allocation based on her edge in each market
  4. Created a structured plan (prevents over-betting on marginal edges)

Scene 2: Deep Research (Tuesday 7 PM)โ€‹

Sneha has 45 minutes to research before the Napoli vs Inter match.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ”ฌ DEEP ANALYSIS: Napoli vs Inter โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ ๐Ÿ“Š VALUE SIGNAL: DRAW @ 3.65 โ”‚
โ”‚ Edge: +9.2% | Model Confidence: 82% | Your Draw ROI: +38% โ”‚
โ”‚ โ”‚
โ”‚ โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โ”‚
โ”‚ HOW WE CALCULATED THE EDGE โ”‚
โ”‚ โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โ”‚
โ”‚ โ”‚
โ”‚ STEP 1: TRUE PROBABILITY CALCULATION โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Model โ”‚ Napoli โ”‚ Draw โ”‚ Inter โ”‚ Weight โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ XGBoost โ”‚ 38.2% โ”‚ 29.8% โ”‚ 32.0% โ”‚ 35% โ”‚
โ”‚ โ”‚ Poisson โ”‚ 36.5% โ”‚ 31.2% โ”‚ 32.3% โ”‚ 25% โ”‚
โ”‚ โ”‚ ELO-adjusted โ”‚ 37.8% โ”‚ 28.5% โ”‚ 33.7% โ”‚ 25% โ”‚
โ”‚ โ”‚ Market Implied โ”‚ 39.1% โ”‚ 27.4% โ”‚ 33.5% โ”‚ 15% โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ WEIGHTED AVG โ”‚ 37.8% โ”‚ 29.4% โ”‚ 32.8% โ”‚ โ”‚
โ”‚ โ”‚ Fair Odds โ”‚ 2.65 โ”‚ 3.40 โ”‚ 3.05 โ”‚ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ STEP 2: MARKET COMPARISON โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Outcome โ”‚ Fair Odds โ”‚ Market Best โ”‚ Edge โ”‚ Verdict โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ Napoli โ”‚ 2.65 โ”‚ 2.55 โ”‚ -3.9% โ”‚ โŒ No value โ”‚
โ”‚ โ”‚ Draw โ”‚ 3.40 โ”‚ 3.65 โ”‚ +7.3% โ”‚ โœ… VALUE โ”‚
โ”‚ โ”‚ Inter โ”‚ 3.05 โ”‚ 2.95 โ”‚ -3.4% โ”‚ โŒ No value โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ STEP 3: EDGE ENHANCEMENT FACTORS โ”‚
โ”‚ โ”œโ”€โ”€ News: Osimhen doubtful (not priced in) โ†’ +1.2% โ”‚
โ”‚ โ”œโ”€โ”€ H2H: 5 of last 8 meetings = draw โ†’ +0.7% โ”‚
โ”‚ โ””โ”€โ”€ TOTAL EDGE: 7.3% + 1.9% = 9.2% โ”‚
โ”‚ โ”‚
โ”‚ โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โ”‚
โ”‚ YOUR PERSONAL EDGE โ”‚
โ”‚ โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โ”‚
โ”‚ โ”‚
โ”‚ ๐Ÿ“Š Your Serie A draw betting history: โ”‚
โ”‚ โ”œโ”€โ”€ Total bets: 28 โ”‚
โ”‚ โ”œโ”€โ”€ Won: 16 (57%) โ”‚
โ”‚ โ”œโ”€โ”€ ROI: +38% โ”‚
โ”‚ โ”œโ”€โ”€ Best odds range: 3.30 - 4.00 (+44% ROI) โ”‚
โ”‚ โ””โ”€โ”€ This bet (3.65) is in your sweet spot โœ… โ”‚
โ”‚ โ”‚
โ”‚ โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โ”‚
โ”‚ STAKE RECOMMENDATION (Kelly Criterion) โ”‚
โ”‚ โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โ”‚
โ”‚ โ”‚
โ”‚ Formula: f* = (p ร— b - q) / b โ”‚
โ”‚ Where: p = 29.4% (true prob), b = 2.65 (net odds), q = 70.6% โ”‚
โ”‚ Kelly stake = 2.8% of bankroll โ”‚
โ”‚ โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Your bankroll: โ‚น75,000 โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ Full Kelly: โ‚น2,100 (aggressive) โ”‚
โ”‚ โ”‚ Half Kelly: โ‚น1,050 (recommended) โ”‚
โ”‚ โ”‚ Quarter Kelly: โ‚น525 (conservative) โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ Your historical stake on โญโญโญ: โ‚น1,200 avg โ”‚
โ”‚ โ”‚ Suggested: โ‚น1,200 (matches your pattern + Kelly) โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ [PLACE โ‚น1,200 BET] [MODIFY STAKE] [ADD TO WATCHLIST] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening: Sneha gets:

  1. Full methodology transparency (she's analytical, she wants to see the work)
  2. Personal data overlaid (her Serie A draw ROI is +38%)
  3. Kelly calculation done for her (saves 10 minutes)
  4. A recommended stake that's both Kelly-optimal AND matches her behavior

Scene 3: Portfolio Management (Saturday 6 PM)โ€‹

Sneha has 5 bets running across 3 sports. She needs a unified view.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ“Š PORTFOLIO VIEW Saturday 6 PM โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ ACTIVE POSITIONS: 5 Total exposure: โ‚น8,200 โ”‚
โ”‚ โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ # โ”‚ Match โ”‚ Bet โ”‚ Stake โ”‚ Status โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ 1 โ”‚ Napoli vs Inter โ”‚ Draw 3.65 โ”‚ โ‚น1,200 โ”‚ โœ… WON โ”‚
โ”‚ โ”‚ โ”‚ Final: 1-1 โ”‚ โ”‚ โ”‚ +โ‚น3,180 โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ 2 โ”‚ Bayern vs Dortmund โ”‚ BTTS 1.75 โ”‚ โ‚น1,500 โ”‚ ๐Ÿ”ด LOST โ”‚
โ”‚ โ”‚ โ”‚ Final: 2-0 โ”‚ โ”‚ โ”‚ -โ‚น1,500 โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ 3 โ”‚ Arsenal vs Chelsea โ”‚ Draw 3.40 โ”‚ โ‚น1,500 โ”‚ ๐ŸŸก LIVE โ”‚
โ”‚ โ”‚ โ”‚ Score: 0-0 (67') โ”‚ โ”‚ โ”‚ C/O: โ‚น2,100 โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ 4 โ”‚ RCB vs MI โ”‚ MI 2.30 โ”‚ โ‚น2,000 โ”‚ โณ 8:00 PM โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ 5 โ”‚ Roma vs Lazio โ”‚ Draw 3.20 โ”‚ โ‚น2,000 โ”‚ โณ 10:30 PM โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ CURRENT P&L: +โ‚น1,680 โ”‚
โ”‚ โ”œโ”€โ”€ Settled: +โ‚น1,680 (1W, 1L) โ”‚
โ”‚ โ”œโ”€โ”€ Live exposure: โ‚น1,500 (Arsenal match) โ”‚
โ”‚ โ””โ”€โ”€ Pending exposure: โ‚น4,000 (RCB, Roma) โ”‚
โ”‚ โ”‚
โ”‚ ๐Ÿ“Š CORRELATION ALERT: โ”‚
โ”‚ "You have 3 draw bets today. If all win: +โ‚น8,700 โ”‚
โ”‚ If all lose: -โ‚น4,700. Current expectation: +โ‚น1,200" โ”‚
โ”‚ โ”‚
โ”‚ ๐Ÿ’ก ARSENAL MATCH INSIGHT: โ”‚
โ”‚ "0-0 at 67 min with draw bet = 68% win probability. โ”‚
โ”‚ Cash out at โ‚น2,100 vs potential โ‚น5,100. โ”‚
โ”‚ Your history: Let 0-0 draws ride - you're +22% doing so." โ”‚
โ”‚ โ”‚
โ”‚ [CASH OUT ARSENAL] [RIDE ALL] [EXPORT TO SPREADSHEET] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening:

  1. Portfolio view (like a stock portfolio) - Sneha thinks in investments
  2. Correlation warning (overexposed to draws)
  3. Data-driven cash out advice
  4. Export option (feeds into her spreadsheet obsession)

Sneha: Simple vs Complex Scenariosโ€‹

ScenarioWhat Sneha WantsWhat SuperSkin Does
SIMPLE: Find value"Show me today's edges"Curated list filtered by her profitable markets
SIMPLE: Calculate stake"How much should I bet?"Kelly calculation with personal risk adjustment
SIMPLE: Track bets"How am I doing?"Portfolio view with P&L, not just wins/losses
COMPLEX: Strategy backtest"Would this filter work?"6-month backtest on her criteria with breakdown
COMPLEX: Weekly planning"What should I bet this week?"Pre-scanned opportunities with budget allocation
COMPLEX: Optimize strategy"What's making me money?"Factor analysis: which strategies, sports, times work

๐ŸŽฏ ARCHETYPE 3: The Professionalโ€‹

Meet Vikramโ€‹

Demographics:

  • Age: 36, Former Quant Trader (Delhi)
  • Betting as primary income: โ‚น3-8 lakhs per month
  • Betting experience: 10+ years (full-time for 5)
  • Typical bets: 50-100 per week across all markets
  • Devices: Multi-monitor setup, API access where possible

Behavioral Profile:

  • Treats betting as a trading operation
  • Uses multiple models (self-built and commercial)
  • Manages bankroll across 15+ bookmaker accounts
  • Understands variance, drawdowns, and risk of ruin
  • Times bets to capture steam moves
  • Arbitrages when possible
  • Gets limited/banned by bookmakers regularly

Pain Points:

  • "I need real-time odds across 30 markets simultaneously"
  • "I'm limited on 5 bookmakers - I need to maximize soft books"
  • "My models are good but I miss execution by seconds"
  • "I need to correlate my positions to manage portfolio risk"
  • "Recording every bet for tax purposes is a nightmare"

What Vikram DOES Know:

  • Everything about odds, probability, and value
  • How to build and validate betting models
  • Portfolio management and Kelly staking
  • That most "tips" and "systems" are garbage
  • When bookmakers are about to limit him

What Vikram NEEDS:

  • Speed (seconds matter)
  • Integration with his workflow
  • Risk management dashboards
  • Portfolio-level analytics
  • Account management across bookmakers

How SuperSkin Helps Vikramโ€‹

The system acts as an Execution Engine - providing speed, data integration, and portfolio-level risk management.

The Professional Trading Interfaceโ€‹

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โšก VIKRAM'S TRADING DASHBOARD Live: 47 mkts โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚
โ”‚ โ”‚ ALERTS โ”‚ LIVE MOVERS โ”‚ STEAM DETECTION โ”‚ โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค โ”‚
โ”‚ โ”‚ ๐Ÿ”ด Roma Draw โ”‚ Liverpool +5% โ”‚ โšก Man City U2.5 โ”‚ โ”‚
โ”‚ โ”‚ Edge now 12% โ”‚ in 8 minutes โ”‚ STEAM: -8% / 3min โ”‚ โ”‚
โ”‚ โ”‚ 3.80โ†’4.05 โ”‚ โ”‚ Act NOW โ”‚ โ”‚
โ”‚ โ”‚ โ”‚ Djokovic -3% โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ ๐ŸŸก RCB Over โ”‚ in 12 minutes โ”‚ โšก Bayern Draw โ”‚ โ”‚
โ”‚ โ”‚ Edge 7.2% โ”‚ โ”‚ STEAM: -6% / 5min โ”‚ โ”‚
โ”‚ โ”‚ Stable โ”‚ Chelsea +4% โ”‚ 2min window โ”‚ โ”‚
โ”‚ โ”‚ โ”‚ in 20 minutes โ”‚ โ”‚ โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚
โ”‚ โ”‚
โ”‚ QUICK EXECUTION: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ [โšก Roma Draw โ‚น25K] [โšก Man City U2.5 โ‚น15K] [Custom] โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ HOTKEYS: R = Roma, M = ManCity, B = Bayern, ESC = Cancel โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Vikram's Story: The Champions League Nightโ€‹

Scenario: Tuesday night. 4 Champions League matches at 12:30 AM IST. Vikram has positions to manage and new opportunities to capture.

Scene 1: Pre-Match Setup (11:00 PM)โ€‹

Vikram has his models running. He's identified 6 value spots. Now he needs to plan execution.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ“Š TONIGHT'S BATTLE PLAN โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ MY MODELS SAY: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Match โ”‚ Bet โ”‚ My Edge โ”‚ Best Odds โ”‚ Book โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ Bayern vs PSG โ”‚ Draw โ”‚ +11.2% โ”‚ 4.10 โ”‚ Pin โ”‚
โ”‚ โ”‚ Real vs Liverpool โ”‚ Over 2.5 โ”‚ +8.4% โ”‚ 1.92 โ”‚ B365 โ”‚
โ”‚ โ”‚ Inter vs Atlรฉtico โ”‚ Under 2.5 โ”‚ +7.8% โ”‚ 2.05 โ”‚ 1xB โ”‚
โ”‚ โ”‚ Arsenal vs Porto โ”‚ Arsenal โ”‚ +6.2% โ”‚ 1.58 โ”‚ Bway โ”‚
โ”‚ โ”‚ Man City vs Napoli โ”‚ BTTS No โ”‚ +5.1% โ”‚ 2.15 โ”‚ Pin โ”‚
โ”‚ โ”‚ Dortmund vs PSV โ”‚ Dortmund โ”‚ +4.2% โ”‚ 1.72 โ”‚ B365 โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ SUPERSKIN OVERLAY: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Match โ”‚ SS Edge โ”‚ Conf โ”‚ Agree? โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ Bayern vs PSG โ”‚ +9.8% โ”‚ 84% โ”‚ โœ… ALIGNED โ”‚
โ”‚ โ”‚ Real vs Liverpool โ”‚ +7.2% โ”‚ 79% โ”‚ โœ… ALIGNED โ”‚
โ”‚ โ”‚ Inter vs Atlรฉtico โ”‚ +6.5% โ”‚ 72% โ”‚ โœ… ALIGNED โ”‚
โ”‚ โ”‚ Arsenal vs Porto โ”‚ +3.8% โ”‚ 65% โ”‚ โš ๏ธ WEAKER โ”‚
โ”‚ โ”‚ Man City vs Napoli โ”‚ +1.2% โ”‚ 58% โ”‚ โŒ DISAGREE โ”‚
โ”‚ โ”‚ Dortmund vs PSV โ”‚ +4.8% โ”‚ 71% โ”‚ โœ… ALIGNED โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ ๐Ÿ’ก INSIGHT: โ”‚
โ”‚ "Your models and ours align on 4 bets (Bayern, Real, Inter, โ”‚
โ”‚ Dortmund). Historically, aligned bets have +24% ROI vs โ”‚
โ”‚ +11% for your solo picks. Consider doubling aligned stakes." โ”‚
โ”‚ โ”‚
โ”‚ โš ๏ธ CONFLICT ON MAN CITY BTTS NO: โ”‚
โ”‚ "Your model says +5.1% edge. Our model says +1.2%. โ”‚
โ”‚ Recent news: Haaland trained separately (possible rest). โ”‚
โ”‚ This may explain our lower confidence. Your call." โ”‚
โ”‚ โ”‚
โ”‚ BOOKMAKER ACCOUNT STATUS: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Book โ”‚ Balance โ”‚ Status โ”‚ Max Stake โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ Pinnacle โ”‚ โ‚น2,45,000โ”‚ โœ… Full โ”‚ Unlimited โ”‚
โ”‚ โ”‚ Bet365 โ”‚ โ‚น1,80,000โ”‚ โš ๏ธ Limited โ”‚ โ‚น5,000 (was โ‚น25,000) โ”‚
โ”‚ โ”‚ 1xBet โ”‚ โ‚น95,000 โ”‚ โœ… Full โ”‚ โ‚น50,000 โ”‚
โ”‚ โ”‚ Betway โ”‚ โ‚น65,000 โ”‚ โš ๏ธ Limited โ”‚ โ‚น8,000 โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ SUGGESTED ALLOCATION: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Match โ”‚ Book โ”‚ Stake โ”‚ Note โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ Bayern Draw โ”‚ Pin โ”‚ โ‚น35,000 โ”‚ Max confidence โ”‚
โ”‚ โ”‚ Real Over 2.5 โ”‚ 1xBet โ”‚ โ‚น25,000 โ”‚ B365 limited โ”‚
โ”‚ โ”‚ Inter Under 2.5 โ”‚ 1xBet โ”‚ โ‚น20,000 โ”‚ Best odds here โ”‚
โ”‚ โ”‚ Arsenal Win โ”‚ Pin โ”‚ โ‚น12,000 โ”‚ Lower conf, use Pin โ”‚
โ”‚ โ”‚ Dortmund Win โ”‚ 1xBet โ”‚ โ‚น15,000 โ”‚ Aligned โ”‚
โ”‚ โ”‚ Man City BTTS No โ”‚ SKIP โ”‚ - โ”‚ Model conflict โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚ TOTAL EXPOSURE: โ‚น1,07,000 โ”‚
โ”‚ โ”‚
โ”‚ [EXECUTE ALL] [MODIFY] [EXPORT TO SHEET] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening:

  1. Vikram's own models are integrated - SuperSkin doesn't replace, it enhances
  2. Cross-validation shows where models align (higher confidence bets)
  3. Conflict analysis with reasoning (Haaland news)
  4. Account limitations factored into allocation
  5. One-click execution for the entire battle plan

Scene 2: Live Trading (12:45 AM)โ€‹

Bayern vs PSG is 15 minutes in. Vikram has โ‚น35,000 on Draw @ 4.10.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โšก LIVE TRADING: Bayern 0-0 PSG (15') โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ YOUR POSITION: Draw @ 4.10 โ”‚
โ”‚ Stake: โ‚น35,000 | Potential: โ‚น1,43,500 โ”‚
โ”‚ โ”‚
โ”‚ LIVE ODDS CHART: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Draw โ”‚
โ”‚ โ”‚ 4.50 โ”ค โ”‚
โ”‚ โ”‚ โ”‚ โ•ญโ”€โ”€โ•ฎ โ”‚
โ”‚ โ”‚ 4.25 โ”ค โ•ญโ”€โ”€โ”€โ”€โ•ฏ โ•ฐโ”€โ”€โ”€โ•ฎ โ”‚
โ”‚ โ”‚ โ”‚ โ•ญโ”€โ”€โ”€โ”€โ•ฏ โ•ฐโ”€โ”€โ•ฎ โ”‚
โ”‚ โ”‚ 4.00 โ”คโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ•ฏ โ•ฐโ”€โ”€โ”€โ”€โ”€ NOW โ”‚
โ”‚ โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ 3.75 โ”ค โ”‚
โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€ โ”‚
โ”‚ โ”‚ KO 5' 10' 15' 20' 25' 30' โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ Current: 3.85 | You entered: 4.10 | Paper P&L: +โ‚น2,275 โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ LIVE PROBABILITY: โ”‚
โ”‚ โ”œโ”€โ”€ Draw: 26% (was 24% at KO) โ”‚
โ”‚ โ”œโ”€โ”€ Bayern: 52% (was 48%) โ”‚
โ”‚ โ””โ”€โ”€ PSG: 22% (was 28%) โ”‚
โ”‚ โ”‚
โ”‚ CASH OUT: โ”‚
โ”‚ โ”œโ”€โ”€ Full: โ‚น37,275 (+โ‚น2,275, +6.5%) โ”‚
โ”‚ โ””โ”€โ”€ Market value: โ‚น37,800 (C/O is -1.4% worse than market) โ”‚
โ”‚ โ”‚
โ”‚ HEDGE OPTIONS: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Option โ”‚ Stake โ”‚ If Bayer โ”‚ If Draw โ”‚ If PSG โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ No hedge โ”‚ - โ”‚ -โ‚น35,000 โ”‚+โ‚น108,500โ”‚ -โ‚น35,000 โ”‚
โ”‚ โ”‚ Hedge Bayern โ”‚ โ‚น18,000 โ”‚ +โ‚น4,800 โ”‚ +โ‚น90,500โ”‚ -โ‚น53,000 โ”‚
โ”‚ โ”‚ Hedge Bayern+PSGโ”‚ โ‚น28,000 โ”‚ +โ‚น8,200 โ”‚ +โ‚น80,500โ”‚ +โ‚น12,400 โ”‚
โ”‚ โ”‚ Full Dutch โ”‚ โ‚น42,000 โ”‚ +โ‚น5,100 โ”‚ +โ‚น66,500โ”‚ +โ‚น8,800 โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ ๐Ÿ’ก TRADE INSIGHT: โ”‚
โ”‚ "0-0 at 15' is good for your draw. xG: Bayern 0.2, PSG 0.1. โ”‚
โ”‚ Low tempo so far. Hold unless goal scored." โ”‚
โ”‚ โ”‚
โ”‚ โš ๏ธ STEAM ALERT: Bayern drifting from 1.95 โ†’ 2.05 (5%) โ”‚
โ”‚ "Smart money moving against Bayern. Good for your draw." โ”‚
โ”‚ โ”‚
โ”‚ [HEDGE BAYERN] [HEDGE BOTH] [HOLD] [EXIT] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening:

  1. Real-time price chart like a trading terminal
  2. Paper P&L calculated instantly
  3. Cash out vs market value comparison (exposes bookmaker edge on cash out)
  4. Pre-calculated hedge scenarios
  5. xG integration for match context
  6. Steam alerts for informed traders

Scene 3: Portfolio Risk Management (1:30 AM)โ€‹

Vikram has 5 live positions across 4 matches. He needs a unified risk view.

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿ“Š PORTFOLIO RISK DASHBOARD โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚
โ”‚ LIVE EXPOSURE MATRIX: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ Match โ”‚ Position โ”‚ Status โ”‚ Mark-to-Mkt โ”‚
โ”‚ โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ โ”‚ Bayern vs PSG โ”‚ Draw โ‚น35K โ”‚ 0-0 22' โ”‚ +โ‚น3,100 โ”‚
โ”‚ โ”‚ Real vs Liverpool โ”‚ O2.5 โ‚น25K โ”‚ 1-1 18' โ”‚ +โ‚น8,400 โ”‚
โ”‚ โ”‚ Inter vs Atlรฉtico โ”‚ U2.5 โ‚น20K โ”‚ 0-0 25' โ”‚ +โ‚น4,200 โ”‚
โ”‚ โ”‚ Arsenal vs Porto โ”‚ Ars โ‚น12K โ”‚ 0-0 20' โ”‚ -โ‚น1,800 โ”‚
โ”‚ โ”‚ Dortmund vs PSV โ”‚ Dort โ‚น15K โ”‚ 1-0 15' โ”‚ +โ‚น6,100 โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ AGGREGATE P&L: โ”‚
โ”‚ โ”œโ”€โ”€ Total staked: โ‚น1,07,000 โ”‚
โ”‚ โ”œโ”€โ”€ Current M2M: +โ‚น20,000 (+18.7%) โ”‚
โ”‚ โ”œโ”€โ”€ Best case (all win): +โ‚น92,400 โ”‚
โ”‚ โ”œโ”€โ”€ Worst case (all lose): -โ‚น1,07,000 โ”‚
โ”‚ โ””โ”€โ”€ Expected value: +โ‚น31,200 (based on live probabilities) โ”‚
โ”‚ โ”‚
โ”‚ CORRELATION RISK: โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ โš ๏ธ HIGH CORRELATION: Inter U2.5 + Bayern Draw โ”‚
โ”‚ โ”‚ Both benefit from low-scoring matches โ”‚
โ”‚ โ”‚ Combined exposure: โ‚น55,000 โ”‚
โ”‚ โ”‚ If both matches have goal before 40': -โ‚น48,000 est. โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ ๐Ÿ’ก SUGGESTION: Consider hedging ONE position to decorrelate โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ VAR ANALYSIS (Value at Risk): โ”‚
โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ โ”‚ 95% VaR: -โ‚น68,000 โ”‚
โ”‚ โ”‚ (5% chance of losing more than this tonight) โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ Your historical max drawdown: โ‚น85,000 โ”‚
โ”‚ โ”‚ Current drawdown from peak: โ‚น12,000 โ”‚
โ”‚ โ”‚ โ”‚
โ”‚ โ”‚ RISK STATUS: ๐ŸŸข WITHIN LIMITS โ”‚
โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ โ”‚
โ”‚ [HEDGE INTER] [HEDGE BAYERN] [CLOSE ALL +โ‚น20K] [RIDE] โ”‚
โ”‚ โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

What's happening:

  1. Mark-to-market on all positions (like a trading book)
  2. Portfolio-level correlation analysis
  3. VaR calculation (professional risk metric)
  4. Drawdown tracking
  5. Decorrelation suggestions

Vikram: Simple vs Complex Scenariosโ€‹

ScenarioWhat Vikram WantsWhat SuperSkin Does
SIMPLE: Best price"Where's the best odds NOW?"Real-time comparison with refresh, one-click execution
SIMPLE: Position check"What's my P&L?"Mark-to-market across all positions, portfolio view
SIMPLE: Steam alert"Tell me when odds move 5%+"Instant push notification with direction and magnitude
COMPLEX: Model integration"Compare my model vs yours"Alignment analysis, conflict resolution with data
COMPLEX: Execution optimization"Where do I place โ‚น200K?"Account limits, split recommendations, arb detection
COMPLEX: Risk management"What's my portfolio risk?"Correlation matrix, VaR, drawdown, hedging scenarios

System Adaptation Summaryโ€‹

The same SuperSkin platform serves all three archetypes by adapting its:

DimensionRaju (Casual)Sneha (Semi-Pro)Vikram (Pro)
LanguageRupees, simple termsPercentages, metricsProfessional jargon
Data DepthMinimal, actionableDetailed, analyticalFull transparency
RecommendationsStrong (protector)Suggestive (partner)Informational (tool)
Default ViewSingle bet, big buttonsDaily/weekly plannerMulti-position dashboard
Alerts"Your team is playing!""Value signal found""Steam move: act NOW"
Risk ControlsEnforced limitsSuggested limitsDisplayed metrics
SpeedDoesn't matterMatters sometimesCritical (seconds)
ComplexityHiddenAvailable on requestFully exposed

Journey Comparison: Same Match, Three Usersโ€‹

Match: Man City vs Arsenal, Premier League, Saturday 8:30 PM

Raju's Experienceโ€‹

Morning: "Arsenal playing tonight! Your lucky team ๐Ÿ€"
Evening: "Best odds: Arsenal @ 3.40 (Pinnacle). You've won 4/6 on Arsenal."
Live: "Arsenal down 1-0. Cash out โ‚น320 or wait? You usually panic-sell here..."
Result: Push notification with simple result and profit/loss

Sneha's Experienceโ€‹

Morning: Value scan shows Arsenal Draw @ 3.60 has +6.8% edge
Research: Full model breakdown, historical draw frequency, team news impact
Pre-match: Kelly stake suggestion: โ‚น1,800 on Draw
Live: Portfolio view with 3 other positions, correlation analysis
Post-match: Performance tracking, strategy validation

Vikram's Experienceโ€‹

Morning: Models uploaded, cross-validated against SuperSkin
Pre-match: Execution plan across 4 bookmakers to maximize stake
5 mins before: Steam alert - City drifting, Draw shortening
Live: Multi-screen with odds charts, xG, hedge calculator running
Real-time: Partial cash out at 65' to lock โ‚น12K profit, ride remainder
Post-match: P&L booked, tax records updated, strategy metrics refreshed

Key Design Principlesโ€‹

1. Progressive Disclosureโ€‹

  • Raju sees only what he needs
  • Sneha can drill down on demand
  • Vikram gets everything by default

2. Behavioral Learningโ€‹

  • System learns each user's patterns
  • Recommendations improve over time
  • "You usually do X" becomes actionable insight

3. Protection Scales with Needโ€‹

  • Raju: Active intervention (save him from himself)
  • Sneha: Passive warnings (data-driven nudges)
  • Vikram: Information only (he knows what he's doing)

4. Speed Scales with Expertiseโ€‹

  • Raju: Deliberate friction (prevents impulsive bets)
  • Sneha: Balanced flow (research โ†’ decision โ†’ bet)
  • Vikram: Minimum friction (hotkeys, one-click, APIs)

5. Same Data, Different Presentationโ€‹

  • All three access the same underlying value calculations
  • Presentation adapts to comprehension level
  • No user is "dumbed down" - just focused differently

Appendix: Feature Access by Personaโ€‹

FeatureRajuSnehaVikram
Price comparisonโœ… Simpleโœ… Detailedโœ… Real-time
Value signalsโญ Stars onlyโœ… Edge + methodologyโœ… Raw probability
Cash out calculatorโœ… Recommendationโœ… With mathโœ… Market comparison
AI Chatโœ… "Should I bet?"โœ… "Explain the model"โœ… API integration
Trading chartsโŒ Hiddenโœ… On requestโœ… Default view
Kelly calculatorโŒ Hiddenโœ… With explanationโœ… Portfolio-level
Backtest engineโŒ Hiddenโœ… Strategy testingโœ… Model validation
Portfolio viewโŒ Single betโœ… Multi-betโœ… Full trading book
Hedge calculatorโŒ Hiddenโœ… On requestโœ… Real-time
API accessโŒโŒโœ…
Account managementโŒโŒโœ… Multi-book
Risk metrics (VaR)โŒโŒโœ…
Tax/record exportโŒโœ… CSVโœ… Full audit trail