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7075+ Analyzed Matches

Advanced Analytics Platform

ML-powered three-way predictions, computed market prices, and proprietary pricing discrepancy detection. Plus AI-generated match previews with player-level insights and latest news.

Pre-match predictions
AI match previews
Pricing discrepancy indicators
7886
Total Predictions
19
Leagues Covered
40
AI Previews

Manchester City vs Liverpool

Sat, Jul 26

VALUE
UNDER 2.5

MATCH RESULT

Home
41.2%
Draw
34.1%
Away
24.7%

TOTAL GOALS

Goals 2.5
Under
58.3%
Over
41.7%

Arsenal vs Chelsea

Sun, Jul 27

OVER 2.5
Under
43.2%
Over
56.8%

Real Madrid vs Barcelona

Mon, Jul 28

VALUE
AWAY
Home
28.5%
Draw
24.3%
Away
47.2%
ML Features

Advanced Analytics Technology

Machine learning models with analytical insights across 5000+ backtested matches. Explore pricing discrepancy indicators, compute fair prices, and get AI-powered match insights.

Educational Models
Three-Way Market Predictions
ML-powered predictions for home win, draw, and away win outcomes.
Statistical Analysis
Over/Under Goals Analysis
Specialized algorithms for total goals predictions with computed probabilities. Identify high and low-scoring games with advanced statistical modeling.
Core Feature
Computed Market Prices & Probabilities
Compare public market prices with our fair value assessments for educational purposes.
Exclusive
Pricing Discrepancy Detection
Analytical indicators to identify pricing discrepancies for educational purposes only.
New Feature
AI Match Previews
Generative AI crafts detailed match previews using player-level data and latest news. Get comprehensive pre-match insights and analysis.
Analytical Results
Backtested ML Models
All models rigorously tested on 5000+ historical matches for educational analysis. Data-driven approach ensures reliable performance.
How It Works

Our AI-Powered Prediction Process

Discover how our advanced machine learning algorithms transform raw data into accurate soccer predictions.

01

Data Collection

We gather comprehensive data from multiple sources including team statistics, player performance, weather conditions, and historical match results.

02

Machine Learning Model Training

Our advanced machine learning models process thousands of data points to identify patterns and calculate probability outcomes for each match.

03

Prediction Generation

Models generate predictions and probabilities of each outcome for match results and over/under goals.

04

Continuous Learning

Our models continuously learn from new data and results, improving accuracy and adapting to changing team dynamics and league trends.

Find Mispriced Odds (Value Gaps)

We turn match data into fair odds, compare them to the market, and flag statistically validated value gaps—so you can focus on decisions, not spreadsheets.

  • Fair odds vs market
  • Edge & quality filters
  • Backtested workflow

Backtested Performance Snapshot

Same pipeline powering live signals: model probabilities → fair odds → edge & quality filters. Historical results are descriptive, not predictive.

1X2 Strategy
n = 5,300 matches • 10k bootstrap samples

Mean ROI

5.6%

Hit Rate

33.1%

Avg Odds

3.32

95% ROI CI: -1.6% → 12.9%95% Hit CI: 30.9% → 35.3%
Over / Under Strategy
Same data window & validation process

Mean ROI

5.0%

Hit Rate

56.7%

Avg Odds

1.88

95% ROI CI: -1.5% → 11.6%95% Hit CI: 53.2% → 60.2%

Confidence intervals from bootstrap resampling. Historical performance ≠ future results.

From Model Output to Value Opportunity

Each signal must clear every step below. No step = no signal.

  1. Probabilities & Fair Odds
    Our ML models convert raw match data into outcome probabilities and fair prices (1X2 & Over/Under).
    Matches Tested5,300
  2. Value Gap Engine
    We compare fair odds to live market prices and apply filters (edge %, min liquidity, odds ranges).
    Qualified Signals2,574
  3. Statistical Validation
    Full strategy (model + filters) backtested with out‑of‑sample data & bootstrap confidence intervals.
    Bootstrap Runs10K
Freshly Settled

Quiet market mispricings that paid

These weren't obvious. A fair vs market gap flashed, cleared our filters and then closed. Subscribers saw them; everyone else saw the scoreline.

Milan vs Cremonese
+163.8% edge
serie-a· 8/23/2025(1w ago)
Model pickaw
Resultaw
Taken
7.65
Fair
2.90
Gain
7.65
Captured pricing edge+163.8%
Nottingham Forest vs West Ham United
+70.2% edge
premier-league· 8/31/2025(5d ago)
Model pickaw
Resultaw
Taken
4.33
Fair
2.54
Gain
4.33
Captured pricing edge+70.2%
Tottenham Hotspur vs Bournemouth
+91.2% edge
premier-league· 8/30/2025(6d ago)
Model pickaw
Resultaw
Taken
4.30
Fair
2.25
Gain
4.30
Captured pricing edge+91.2%
Open Live Board

Past outcomes don't guarantee future performance. Access shows opportunities sooner.

Testimonials

What Our Users Are Saying

Join our satisfied users who have improved their analytical understanding with our AI-powered predictions.

"I love the project, love the simplicity of how it is presented. Let's all get some winners!"

m
mangospicy

"I really appreciate this project, it's nice to see it's updated often. Keep it up!"

DP
David P.

"Using Footixify I put matches on my radar I normally would have stayed away from."

EL
Eric L.

Pricing

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  • 5 ML match predictions
  • Access to computed market price probabilities
  • Use filtering options
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€4.99/month
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14-Day Free Trial then billed monthly • Cancel anytime

Unlimited ML predictions & Unlimited AI previews

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  • Unlimited ML match predictions
  • Unlimited AI match previews
  • Three-way match outcome predictions
  • Over/Under predictions
  • Advanced pricing discrepancy (Value-Gap) indicators
FAQ

Frequently Asked Questions

Get answers to common questions about our AI-powered soccer prediction platform.

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