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Overview

Mr. Doge uses advanced machine learning to analyze sporting events and identify value betting opportunities. Our AI evaluates team performance, match context, and market odds to generate data-driven recommendations.
Transparency First: Every recommendation includes clear reasoning you can review. We show our work so you can make informed decisions.

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What the AI Analyzes

Our system evaluates multiple factors for each event: Team Performance:
  • Recent form and results
  • Home vs away performance splits
  • Head-to-head history
  • Scoring and defensive patterns
Match Context (Priority Leagues):
  • Team news and lineup information
  • Weather conditions
  • Tactical matchups
Market Analysis:
  • Current odds evaluation
  • Market efficiency assessment
  • Value opportunity detection
Priority Competitions: Major leagues (Premier League, La Liga, Champions League, NBA, etc.) receive enhanced analysis with real-time context and deeper research.

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Understanding Confidence Levels

Every recommendation has a confidence rating based on statistical edge:

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High Confidence (Edge > 5%)

  • What it means: Strong statistical advantage over market odds
  • Expected accuracy: 60-65% win rate
  • When it happens: Clear form advantage, market inefficiency, or strong tactical mismatch

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Medium Confidence (Edge 3-5%)

  • What it means: Moderate statistical advantage
  • Expected accuracy: 55-60% win rate
  • When it happens: Slight market inefficiency or minor form advantage

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Low Confidence (Edge < 3%)

  • What it means: Marginal edge, higher risk
  • Expected accuracy: 50-55% win rate
  • Note: We rarely recommend Low confidence bets
No Guaranteed Winners: Even High confidence picks can lose. Confidence reflects statistical edge, not certainty. Proper bankroll management is essential.

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Kelly Criterion & Stake Sizing

The AI calculates optimal stake sizes using the Kelly Criterion, a mathematical formula for maximizing long-term growth.

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How It Works

Kelly % = (Edge × Odds - 1) / (Odds - 1)
Example:
  • Odds: 2.10
  • Edge: 6.8%
  • Kelly = 3.2% of bankroll
We recommend 10% fractional Kelly for safer bankroll management:
  • Full Kelly: 3.2% of bankroll
  • 10% Fractional Kelly: 0.32% of bankroll
Why Fractional Kelly?
  • Reduces volatility
  • More conservative approach
  • Protects against estimation errors
  • Still captures most of the edge

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Practical Example

Your Bankroll: $1,000 Recommendation:
  • Odds: 2.10
  • Edge: 6.8%
  • Kelly Fraction: 0.032 (3.2%)
Stake Calculation:
  • Full Kelly: 1,000×0.032=1,000 × 0.032 = 32
  • 10% Fractional Kelly: 32×0.10=∗∗32 × 0.10 = **3.20**
Start Small: If you’re new to value betting, consider using 5% fractional Kelly (half our recommendation) until you’re comfortable with variance.

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Reading Recommendations

Every recommendation includes three key sections:

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Rationale

Why the AI picked this bet: 
"rationale": [
  "Home team's excellent form (8 wins in last 10)",
  "Away team struggling defensively (10 goals conceded in 3 games)",
  "Strong home advantage (75% win rate at home)"
]
Look for:
  • ✅ Data-backed claims with recent statistics
  • ✅ Specific tactical insights
  • ✅ Clear logical reasoning

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Risk Factors

Reasons why the pick might not win: 
"riskFactors": [
  "Away team has key players returning from injury",
  "Weather forecast shows heavy rain"
]
Use this to:
  • Assess if the risk outweighs the edge
  • Decide whether to skip the bet
  • Adjust stake size if unsure

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Data Support

Statistical basis for the recommendation: 
"dataSupport": [
  "Simulation gives 52% home win probability vs 47.6% implied by odds",
  "Expected goals: Home 1.8, Away 1.1"
]
This shows you the math behind the recommendation.

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Market Efficiency Score

The AI calculates a Market Efficiency Score (0-100) for each event:
  • 90-100: Extremely efficient, rare value opportunities
  • 80-89: Efficient market, requires deep analysis
  • 70-79: Moderately efficient, value exists
  • Below 70: Inefficient market, multiple opportunities
What affects efficiency:
  • League popularity (Premier League more efficient than lower tiers)
  • Time until kickoff (closer = more efficient)
  • Public attention (high-profile matches = more efficient)

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Mr. Doge Picks vs Betting Recommendations

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Betting Recommendations

What they are:
  • Individual value bets for specific markets
  • Available for all analyzed events
  • Confidence-rated (Low/Medium/High)
  • Single-bet recommendations
Access: GET /v2/ai/betting-recommendations (2 credits)

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Mr. Doge Picks

What they are:
  • Curated picks combining multiple recommendations
  • Featured selections for maximum value
  • Can be single events or parlays
  • Pre-calculated combined odds
Access: GET /v2/ai/mrdoge-picks (10 credits)
For Beginners: Start with individual Betting Recommendations to understand how the AI works. Graduate to Mr. Doge Picks once you’re comfortable.

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Limitations & Disclaimers

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What the AI Can’t Predict

  • Referee decisions: Red cards, penalties, VAR calls
  • Individual brilliance: Wonder goals, goalkeeper errors
  • Motivational factors: Team morale, manager pressure
  • Random variance: Bad luck, post hits, own goals

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Past Performance ≠ Future Results

The AI analyzes historical data, but:
  • Teams change (injuries, form shifts, new players)
  • Tactics evolve
  • External factors matter (weather, referee, crowd)
  • Variance is inherent in sports
No Guarantee of Profit: Value betting requires discipline, bankroll management, and patience. Short-term losses are normal even with positive expected value. Only bet what you can afford to lose.

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FAQs

AI analysis runs continuously:
  • New events analyzed as they become available
  • Recommendations refresh when odds change significantly
  • Enhanced analysis runs 24-48 hours before kickoff for priority matches
Possible reasons:
  • Data quality doesn’t meet standards
  • Event too far in the future (odds not stable)
High confidence picks have a statistical edge, meaning over many bets they should be profitable. However:
  • Any single pick can lose (variance is normal)
  • We estimate 60-65% win rate for High confidence
  • Requires proper bankroll management
  • Long-term discipline is essential
Key differences:
  • Transparent: Full reasoning provided for every pick
  • Data-driven: Based on statistics, not gut feeling
  • Systematic: Same process applied to every event
  • Accountable: Track record is verifiable via API
  • No bias: AI doesn’t have favorite teams
Currently AI recommendations are available for:
  • ⚽ Soccer (all major leagues)
Other sports receive odds data but not yet AI analysis.

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Next Steps

Data Model

See BettingRecommendation data structure

Bet Settlement

Learn how bets are settled and tracked

API Reference

Access AI recommendations via API

Dashboard

View recommendations in your dashboard