Model Performance

Transparent performance metrics demonstrating StatsEdge predictive model intelligence relative to sportsbook markets. Objective evidence of model accuracy.

Core Performance Metrics

+1.42

Average CLV

Closing Line Value - average points of line movement in signal direction

62.9%

Positive CLV Rate

Percentage of signals that beat the closing line

+1.9 pts

Avg Model Accuracy Advantage

Average difference between model prediction and closing spread

+4.7%

Average Signal EV

Expected value of signals based on model probability

Long-Term Signal Results

2,482

Signals Tracked

1,562

Positive CLV Signals

62.9%

Positive CLV Rate

+1.4

Average Edge

This Week's Performance

Signals Generated

64%

Positive CLV Rate

+1.8

Average Edge

Signal History Database

Full Transparency

Date	Sport	Game	Signal Line	Closing Line	CLV	Result
Mar 15	NBA	Lakers vs Celtics	Lakers -4.5	Lakers -6.2	+1.7	W
Mar 15	NFL	Chiefs vs Bills	Chiefs -3	Chiefs -4	+1.0	W
Mar 14	MLB	Dodgers vs Yankees	Dodgers -145	Dodgers -162	+2.1	W
Mar 14	NBA	Warriors vs Suns	Warriors +2.5	Warriors +1.5	+1.0	L
Mar 13	NHL	Bruins vs Rangers	Bruins -135	Bruins -150	+1.5	W

All signals timestamped at generation. CLV calculated against closing line. Full historical database available to Pro subscribers.

Performance Methodology

Closing Line Value (CLV) measures how much a line moves in the direction of our signal between signal generation and game start. Positive CLV indicates the market moved toward our model's prediction.

Signal receipts include timestamps and market lines at signal generation time, providing full transparency and preventing retroactive reporting.

Model accuracy advantage compares our predicted spread to the closing spread, measuring how well the model anticipates final market pricing.