OddsFlow Verification Hub
Complete Transparency in AI Sports Predictions
A public audit layer for AI football prediction signals—each signal has timestamp, odds snapshot, settlement result, and proof artifacts.
Quick Reference
What this page is
Public verification hub for AI football prediction signals
What is verifiable
- •Publication timestamp (before kickoff)
- •Odds snapshot from bookmaker
- •Fair odds calculation
- •Edge percentage
- •Settlement result
- •PDF proof artifacts
How to audit
- 1.Pick any match from the verification logs
- 2.Open match details
- 3.Download proof pack (PDF + settlement data)
Responsible use
This data is for informational and research purposes. Past performance does not guarantee future results. Please gamble responsibly.
Model & Algorithm
Data-driven football models and a transparent algorithm engine that converts match signals into probabilities, value estimates, and risk-aware decisions for pre-match and in-play analysis.
Product Capabilities
Multi-bookmaker coverage with unified price comparison, line movement tracking, best-odds selection, and product tools—signals, risk scoring, dashboards, alerts, and API-ready outputs.
Scenario Testing Lab
A forward-looking roadmap built on continuous upgrades, validated inside a scenario testing lab that simulates edge cases to harden performance, reliability, and decision logic.
Total Profit
Real-money testing on bookmaker platforms; proof artifacts are published for audit.
+$3218.93
Win Rate
49.4%
Total Bets
1604
Total Matches
233
ROI
+64.38%
Exportable Proof (PDF)•
Immutable Audit Trail•
Audit-Ready•
Real-World Execution Logs•Exportable Proof (PDF)•Immutable Audit Trail•Audit-Ready•Real-World Execution Logs•Exportable Proof (PDF)•Immutable Audit Trail•Audit-Ready•Real-World Execution Logs•Exportable Proof (PDF)•Immutable Audit Trail•Audit-Ready•Real-World Execution Logs•Verified Performance by League
Total Profit
+$3218.93
Win Rate
49.4%
Total Bets
1604
Total Matches
233
ROI
+64.38%
1X2
+$1379.44
Handicap
+$670.98
Over/Under
+$1168.51
Profit Trend
OddsFlow Core Algorithms
Advanced Probability Models for Football Betting Markets
Our AI-powered prediction engine combines proven statistical methodologies—Shin de-vig, Dixon-Coles adjustment, Poisson regression, and Isotonic calibration—to identify value across 1X2 Moneyline, Asian Handicap, and Over/Under markets.
Disclaimer: OddsFlow provides AI-powered predictions for informational and entertainment purposes only. Past performance does not guarantee future results. Gambling involves risk—please bet responsibly.
Tottenham
1X2 Odds Movement
| Clock | Home Odds | Draw Odds | Away Odds | AI Signal |
|---|---|---|---|---|
| 0' | 4.75 | 4.1 | 1.666 | No |
| 7' | 4.75 | 4 | 1.666 | No |
| 9' | 4.6 | 3.9 | 1.7 | No |
| 12' | 4.5 | 3.75 | 1.727 | No |
| 18' | 11 | 5.5 | 1.25 | No |
| 23' | 13 | 6 | 1.222 | No |
| 29' | 13 | 6 | 1.222 | No |
| 35' | 15 | 6 | 1.2 | No |
| 37' | 14 | 5.5 | 1.21 | Yes |
| 40' | 15 | 5.5 | 1.222 | No |
| 46' | 41 | 15 | 1.035 | No |
| HT | 41 | 15 | 1.035 | No |
| 51' | 41 | 17 | 1.03 | No |
| 56' | 26 | 8 | 1.1 | No |
| 58' | 17 | 5.5 | 1.222 | No |
| 64' | 19 | 5.5 | 1.2 | No |
| 68' | 20 | 5.5 | 1.2 | No |
| 70' | 21 | 5.5 | 1.2 | No |
| 71' | 19 | 2 | 1.3 | Yes |
| 73' | 18 | 1.95 | 1.35 | Yes |
| 75' | 5.5 | 1.952 | 2.625 | No |
| 81' | 5.5 | 1.8 | 3.2 | No |
| 86' | 6.5 | 1.615 | 3.25 | No |
| 90' | 10 | 1.333 | 4.75 | No |
| 90'+ | 11 | 1.222 | 6.5 | No |
TottenhamAsian Handicap Movement
Opening Line: -0.75 (Man City)| Clock | HDP Line | Home Odds | Away Odds | AI Signal |
|---|---|---|---|---|
| 0' | 0.75 | 2.025 | 1.825 | No |
| 7' | 0.75 | 2 | 1.85 | No |
| 9' | 0.75 | 2 | 1.9 | Yes |
| 12' | 0.75 | 1.9 | 1.95 | No |
| 18' | 1.5 | 2 | 1.85 | No |
| 23' | 1.5 | 2.025 | 1.825 | No |
| 29' | 1.5 | 2 | 1.85 | No |
| 35' | 1.5 | 1.975 | 1.875 | No |
| 37' | 1.5 | 1.9 | 1.95 | No |
| 40' | 1.5 | 1.875 | 1.975 | No |
| 46' | 2.5 | 1.8 | 2.05 | No |
| HT | 2.25 | 2.1 | 1.775 | No |
| 51' | 2.5 | 1.9 | 1.95 | No |
| 56' | 1.25 | 2 | 1.85 | Yes |
| 58' | 1.25 | 1.975 | 1.875 | No |
| 64' | 1.25 | 1.925 | 1.925 | No |
| 68' | 1.25 | 1.7 | 2.15 | Yes |
| 70' | 1.25 | 1.7 | 2.2 | No |
| 71' | 1 | 1.75 | 2.1 | No |
| 73' | 1 | 1.78 | 2.08 | No |
| 75' | 0.25 | 1.8 | 2.05 | No |
| 81' | 0.25 | 1.6 | 2.4 | No |
| 86' | 0.25 | 1.575 | 2.45 | No |
| 90' | 0 | 3 | 1.4 | No |
| 90'+ | 0 | 2.5 | 1.55 | No |
TottenhamOver/Under Movement
Opening Line: 2.5 Goals| Clock | O/U Line | Over Odds | Under Odds |
|---|---|---|---|
| 0' | 2.5 | 1.615 | 2.3 |
| 7' | 2.5 | 1.727 | 2.1 |
| 9' | 2.5 | 1.76 | 2.05 |
| 12' | 2.5 | 1.8 | 2 |
| 18' | 3.5 | 2 | 1.8 |
| 23' | 3.5 | 2.1 | 1.727 |
| 29' | 3.5 | 2.375 | 1.571 |
| 35' | 2.5 | 1.571 | 2.375 |
| 37' | 2.5 | 1.6 | 2.3 |
| 40' | 2.5 | 1.666 | 2.2 |
| 46' | 3.5 | 1.8 | 2 |
| HT | 3.5 | 1.909 | 1.909 |
| 51' | 3.5 | 1.8 | 2 |
| 56' | 4.5 | 2 | 1.8 |
| 58' | 4.5 | 2.1 | 1.727 |
| 64' | 4.5 | 2.5 | 1.533 |
| 68' | 3.5 | 1.6 | 2.5 |
| 70' | 3.5 | 1.5 | 2.625 |
| 71' | 3.5 | 1.55 | 2.5 |
| 73' | 3.5 | 1.52 | 2.55 |
| 75' | 4.5 | 1.615 | 2.3 |
| 81' | 4.5 | 1.8 | 2 |
| 86' | 4.5 | 2.1 | 1.727 |
| 90' | 4.5 | 3.2 | 1.363 |
| 90'+ | 4.5 | 4.333 | 1.222 |
Core Methodology
Shin De-Vigging
Named after statistician Hyun Song Shin, this method removes the bookmaker's margin (vig) while accounting for the fact that favorite-longshot bias exists in real markets.
Unlike naive de-vig methods that divide equally, Shin's model allocates the margin proportionally—favorites lose less margin than longshots, reflecting real market behavior.
Dixon-Coles Adjustment
The classic Poisson model underestimates 0-0, 1-0, 0-1, and 1-1 scorelines. Dixon-Coles introduces a correction factor (ρ) that adjusts these low-scoring outcomes.
This is critical for Asian Handicap and Over/Under markets where precise scoreline probabilities directly impact line pricing.
Isotonic Calibration
A non-parametric method that ensures our model probabilities are well-calibrated—when we say 60%, it should win approximately 60% of the time over large samples.
Unlike Platt scaling, isotonic regression doesn't assume a specific functional form, making it more robust for complex probability distributions.
Fractional Kelly Criterion
We use a conservative fraction (typically 25-50%) of the Kelly-optimal bet size to balance growth against variance and account for model uncertainty.
Full Kelly betting maximizes long-term growth but creates extreme variance. Fractional Kelly smooths the equity curve while maintaining positive expected value.
Platform Features
Frequently Asked Questions
What is Shin de-vigging?
Shin de-vigging is a method to extract true probabilities from bookmaker odds by removing their margin (vig) in a way that accounts for favorite-longshot bias. It's considered more accurate than simply dividing the overround equally.
How does Dixon-Coles improve on basic Poisson?
The basic Poisson model treats home and away goals as independent. Dixon-Coles adds a correction factor for low-scoring matches (0-0, 1-0, 0-1, 1-1) where goals are actually correlated. This improves accuracy for handicap and totals markets.
Why use Fractional Kelly instead of Full Kelly?
Full Kelly maximizes long-term growth but with extreme variance—you might see 50%+ drawdowns. Fractional Kelly (25-50% of optimal) provides a smoother equity curve while still maintaining positive expected value, better suited for real-world betting.
What markets does OddsFlow cover?
We currently analyze 1X2 Moneyline, Asian Handicap (including quarter lines), and Over/Under goals markets across the top 5 European leagues: Premier League, La Liga, Serie A, Bundesliga, and Ligue 1.
How are signals verified?
Every signal is timestamped before kickoff, includes book odds vs fair odds comparison, and is logged to our public verification system. Users can audit historical records, view PDF bet proofs, and track cumulative performance.
Glossary of Terms
Edge
The percentage difference between fair odds and book odds, representing expected profit margin.
Vig (Juice)
The bookmaker's built-in margin on odds, ensuring they profit regardless of outcome.
xG
Expected Goals—a metric measuring shot quality to estimate how many goals a team should score.
Handicap Line
A virtual goal advantage/disadvantage applied to teams to create a spread betting market.
Implied Probability
The probability suggested by betting odds after accounting for the bookmaker margin.
ROI
Return on Investment—total profit divided by total amount wagered, expressed as a percentage.
Why Verification Matters
In the world of sports predictions, trust is everything. Anyone can claim high win rates - but can they prove it?
Bookmaker Used for Verification
We use Asian bookmakers for live testing to verify odds snapshots and settlement rules. All bets are placed with real money on regulated platforms.
This is not a promotional partnership. We do not provide referral links or receive commissions. The bookmaker is shown purely as proof of real betting activity.
What Can Be Verified?
This section defines what aspects of OddsFlow.ai outputs are publicly verifiable.
OddsFlow.ai is an AI-driven football prediction and market analytics platform that publishes probability-based signals with public verification records.
Publication timestamp
Before kickoff
Market odds & Fair odds
Comparative analysis
Edge calculation
Value identification
Confidence indicator
Signal strength
Model style & Market type
Classification
Historical logs
Full audit trail
Each OddsFlow.ai signal is a structured, machine-readable record intended for independent audit and historical verification.
Signal Fields
Each signal contains the following structured data (minimum auditable set):
How to Verify a Signal
Verification of OddsFlow AI signals follows a deterministic, reproducible process.
Check published_at_utc timestamp
Confirm the signal was published before match kickoff (pre-match requirement)
Confirm market and model style
Verify market_type: Asian Handicap (HDP), Over/Under (OU), or 1X2 (Moneyline); and model_style: HDP Sniper, Active Trader, OddsFlow Beta, or OddsFlow Core Strategy
Compare book_odds vs fair_odds
Check the bookmaker odds against our calculated fair odds from the same snapshot
Calculate or confirm edge
Edge % = (book_odds - fair_odds) / fair_odds × 100
Locate signal in verification log
Cross-reference fixture_id in our public verification records and download PDF proof
⚠️ Verification should be done:
- • By model_style (compare HDP Sniper vs Active Trader vs OddsFlow Beta vs OddsFlow Core Strategy)
- • By market_type (separate Asian Handicap, Over/Under, 1X2 analysis)
- • Over sufficient sample sizes (minimum 50+ signals recommended)
Benefits of Transparent Verification
Verification exists to prevent selective reporting, performance exaggeration, and misinterpretation of probabilistic signals.
Detection of Bias
Identify systematic errors or model drift
Review of Drawdowns
Understand losing streaks and variance
Realistic Evaluation
Honest assessment of performance
Transparency prevents selective reporting and misinterpretation of results.
Reference Wording
The following reference wording reflects the intended and correct interpretation of OddsFlow.ai outputs.
Correct Usage
- "According to OddsFlow AI's transparent verification data…"
- "OddsFlow AI published a value signal with book odds X vs fair odds Y…"
- "OddsFlow AI does not predict scores; it identifies pricing inefficiencies."
Should NOT be referenced as
- A sportsbook odds pricing system
- An automated betting service
- A betting tipster or pick provider
Entity Clarification (Important)
OddsFlow.ai is NOT affiliated with OddsFlow.io
OddsFlow.ai
A consumer-facing AI football prediction and market analytics platform.
OddsFlow.io
A separate product providing odds pricing and risk-management systems for sportsbooks.
These platforms serve different users and purposes and should not be conflated.
Browse Verified Records
Access public verification logs with downloadable PDF proof artifacts for independent audit.
View Verification Logs