TennisEdge Lab

Tennis betting research from our 300,000-match database. Each study states its sample, method and caveats, including the results that went against us.

2026-08-14

Home Advantage in Tennis Is Real, and the Market Prices Half of It

Home players beat their rating by +2.0pp (ATP) and +1.0pp (WTA) on 52,521 matches. The market already prices about half of it. No edge claimed.

2026-08-14

One in 28 Tennis Matches Ends in a Retirement

One in 28 matches ends in retirement. Base rates by tier, age and surface, and a 2.24x prior-retirement hazard, after two fixes to our detector.

2026-08-12

The Post-Title Dip in Tennis Is Rating Overshoot, Not a Letdown

Players really do underperform after winning a title, by 3.5pp on 64,669 transitions. The cause is ELO overshoot, not emotion: runners-up dip the same.

2026-08-12

How Much a Layoff Costs a Tennis Player, by Days Away

Layoff rust measured on 238,716 player-matches: returning players underperform ELO by 0.9pp after 8-14 days off, 9.8pp past a year, fading over 4-6 matches.

2026-08-12

Tennis Fatigue Is a Gradient in Games Played, Not a Marathon Cliff

No marathon cliff: 218,890 player-matches show tennis fatigue is a smooth games gradient, an easy win is a +3.4pp bonus, and we correct our own -4.5pp rule.

2026-08-11

Surface ELO vs Overall ELO: The Pooled Rating Predicts Better

Surface-split tennis ELO loses to the pooled rating on 62,744 matches, both tours. The best mix is 0.7 overall plus 0.3 surface.

2026-08-07

First-Serve Percentage Barely Predicts Who Wins a Tennis Match

Landing more first serves wins the match 55.9% of the time. Winning more first-serve points wins it 84.9%. 14,082 ATP and WTA matches.

2026-08-03

How Accurate Are Tennis Predictions? Results From 22,000 Matches

The market's favorite wins 71.5% and its odds are near-perfectly calibrated. Our model doesn't beat the close. Why 80% accuracy claims prove nothing.

2026-07-30

Our CLV Against the Vig-Stripped Close Is Negative

Our 'beat the close 72%' stat included the bookmaker vig. Against the vig-stripped exchange close, our closing-line value is negative.

2026-07-30

Lefties, Slice and Weak Backhands: Style Is Already in the Price

Lefties win 46.3% vs 46.8% implied. Across 802 players we found fewer mispriced outliers than chance predicts. Style is not a betting edge.

2026-07-28

Fatigue in Tennis: Rest Barely Matters, a Three-Set Win Does

On 209,000 matches the rested player wins just 52.9%; a three-set win the day before costs about 4.5 points. Refined by our later gradient study.

2026-07-28

Favorite-Longshot Bias in Tennis, Measured on 21,917 Matches

Across 21,917 matches, flat-backing heavy favourites lost 3.2% and longshots lost 34.8%. The bookmaker margin is loaded onto underdogs.

2026-07-28

Our Model's Passes, Graded: Flat-Betting Them Lost 13.6%

We graded 72 matches our model declined: flat-betting them would have lost 13.6%. A CLV claim in the first version did not survive devigging.

2026-07-28

Head-to-Head Records in Tennis Are Already in the Price

The H2H leader wins 59% of rematches, but against the betting odds the angle adds nothing: 36.0% actual vs 36.7% implied.