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// Case study 13 · Sports Analytics
WagerEV
A 100-point model that scores every matchup.
Data-driven betting platform whose proprietary model evaluates team metrics, player data, situational factors and market signals across 11 leagues.
AI feature in productPredictive ML
https://www.wagerev.com/
67.2%
Win rate
846+
Verified wins
11
Leagues
The problem
Bettors rely on gut feel and noisy tips rather than quantified expected value.
The solution
Every game is scored, probabilities calculated, and only the highest-value picks released in Elite, Strong and Playable tiers.
How AI is used
A weighted 100-point predictive model with separate sub-models for spreads, totals and moneylines computes edge versus market.
// AI pipeline · live
How data flows through the model
01
Team & player data
02
Situational features
03
100-pt model score
04
EV vs market
05
Tiered picks
// AI capability profile
// Key features
- Elite / Strong / Playable tiers
- Spread, totals, moneyline models
- Live model status
- SMS alerts
// Tech stack
React/Vue SPAPWACloudFront CDNTailwind CSSPrediction modelTwilio
Details verified against the live website in November 2026.