Built on AI-Powered Analysis

MakeThePlay leverages a proprietary ensemble of probabilistic and machine learning models to identify mispriced betting opportunities in real-time NHL markets.

Our Methodology

Data Aggregation

We aggregate data from multiple reputable sports databases, including historical team performance, advanced player metrics, and live market movements across major sportsbooks.

Ensemble Models

Our proprietary ensemble combines probabilistic forecasting, time-series analysis, and reinforcement learning to estimate true win probabilities with high accuracy.

Value Detection

When our models detect significant edges (+3% EV minimum), we generate HIGH confidence recommendations with Kelly Criterion-optimized stake sizing.

Track Record

Average ROI

+8.2%

On high-confidence picks

Win Rate

58.3%

HIGH confidence bets

EV Range

+3-15%

Expected value spread

Backtested

4

Full NHL seasons

How It Works: Example

1

Market Analysis

Boston Bruins are priced at 2.10 by major sportsbooks. This implies a 47.6% win probability according to market consensus.

2

Our Ensemble Estimate

Based on historical performance, recent form, head-to-head records, and advanced metrics, our models estimate the Bruins have a 52% true win probability.

3

Edge Identified

Market undervalues the Bruins by +9.2% EV. This qualifies as a HIGH confidence value bet.

💰 Recommended Stake: $245 (2.45% of bankroll via Kelly Criterion)

Our Commitment to Transparency

✅ What We Share

  • • Methodology principles and high-level architecture
  • • Aggregated performance metrics (ROI, win rates, EV distributions)
  • • Real-time bet recommendations with confidence levels
  • • Detailed AI commentary on each settled bet

🔒 What Remains Proprietary

  • • Specific model architectures and feature engineering
  • • Raw training datasets and data sources
  • • Exact hyperparameters and ensemble weights
  • • Real-time market movement algorithms
See It In Action

Real-time predictions updated daily at 9:00 AM CET