Every professional tennis match, priced before it's played.
TPE is a research system that predicts men's and women's professional tennis — ATP, Challenger, ITF, WTA and women's ITF, qualifying included — and grades every one of its own picks with a measured trust color before the first serve.
78%
selective picks today · 25/32
17–4
all picks today (81%)
70%
last 7 days · 735/1043 picks
Saturday, October 31, 2026 · live tape as of 11:02am et, oct 31 · refreshed every 30 minutes
Today’s picks
Every prediction on today’s board — 138 matches across all tours, grouped by trust color, time-ordered. The percentage is the model’s pre-match win probability for the named pick; results fill in live.
Black90%+ historically3 matches · 2/2 so far
8:15aDaniel Masurover James MackinlayM25 Malta (Malta)95%✓ WIN
7:00pMatthew Dellavedovaover Philip SekulicM25 Tamworth 2 (Australia)67%—
10:00pTalia Gibsonover Oleksandra OliynykovaHong Kong (Hong Kong), Hard77%—
10:00pViktorija Golubicover Katie BoulterHong Kong (Hong Kong), Hard56%—
11:30pHimeno Sakatsumeover Elena PridankinaHong Kong (Hong Kong) - Qualification, Hard50%—
Match DelayedJodie Burrageover Vaishnavi AdkarChennai (India), Hard65%—
Match DelayedRobin Montgomeryover Panna UdvardyChennai (India), Hard57%—
—Mattia Bellucciover Pablo Carreno BustaParis (France) - Qualification56%—
Match DelayedIgnacio Monzonover Tomas MartinezM15 João Pessoa (Brazil)56%—
Match DelayedRebecca Sramkovaover Moyuka UchijimaChennai (India), Hard55%—
Match DelayedTeodora Kostovicover Oksana SelekhmetevaChennai (India), Hard55%—
Match DelayedDaria Egorovaover Nastasja SchunkW50 Istanbul (Turkey), Hard (Indoor)55%—
Match DelayedWeronika Falkowskaover Viktoria MorvayovaChennai (India) - Qualification, Hard54%—
Match DelayedPolina Kudermetovaover Harriet DartChennai (India), Hard53%—
Match DelayedIva Marinkovicover Klara VeldmanW15 Taby (Sweden), Hard (Indoor)50%—
Ungradedno measured band6 matches · 1/2 so far
1:30aAlexandra Shubladzeover Y. ZhangHong Kong (Hong Kong) - Qualification, Hard80%✓ WIN
3:15aYu Hsiou Hsuover Yaroslav DeminNingbo (China)70%✗ MISS
10:00aDino Prizmicover Martin DammBrest (France)50%● LIVE
11:00aKristina Liutovaover C. MaW100 New Braunfels, Tx (Usa), Hard78%—
11:30aAlice Tubelloover Neuza SilvaChallenger Women - Singles: Curitiba (Brazil), Clay87%—
11:30pElizabeth Jonesover Alexandra ShubladzeHong Kong (Hong Kong) - Qualification, Hard50%—
The trust ladder
Every prediction is assigned a color from its evidence shape — how the models, the rankings and the ratings line up. Each color is a promise measured on tens of thousands of past matches, not a feeling.
Black90%+Structural mismatches with full agreement — the closest thing to a sure call this sport allows.2/2 today
Brown80–90%Strong evidence, all instruments aligned. The workhorse band.9/13 today
Gold76–80%Clear favorite with one soft spot in the evidence.2/2 today
Blue62–72%Competitive match with a measurable lean.10/14 today
Purpleunder 62%Coin-flip territory — shown for coverage, flagged as low trust.11/17 today
Last 7 days
Daily win rate across all tours, scaled 50% (coin flip, empty bar) to 100% (full bar); wins/picks under each bar. Selective picks (confidence ≥60%) ran 74% over these 7 days.
69%Sun52/75
65%Mon43/66
69%Tue153/221
72%Wed211/295
72%Thu151/211
71%Fri90/126
71%Today35/49 · live
The paper P&L
What the board would have earned staking a flat $100 on every priced pick at our last daily odds snapshot (≈closing line). A paper study — no bets are placed. Accuracy is not profit: short-priced picks win often but pay little, and the market’s vig absorbs most of a calibrated edge.
−$2,600
last 30 days · 2009 bets · -1.3% ROI
3560–1672
record on settled picks (68%)
1.53
average odds taken across the month
Men ITF/CH1636–761avg odds 1.53 · 2009 priced−$2,600 · -1.3%
By trust color, last 7 days (covering 7 settled board days; priced picks only):
The engine
1.5M+
matches in the database, 1968–today, updated daily
5
tours covered — ATP, Challenger, ITF, WTA, W-ITF — plus qualifying
2
independent models per match: a gradient-boosted engine and a transparent 68-factor scorecard
100–180
predictions published per day, every match graded
99.9%
winner agreement with an independent commercial data source across ~17,500 cross-verified 2024–25 matches
How it works
Measure the players.Ratings, form, surface history, opponent quality, fatigue and 60+ other factors — computed strictly from what was knowable before the match. No hindsight, ever.
Predict twice, independently.A machine-learned engine and a human-readable scorecard each pick a winner. When they agree with the rankings, confidence is highest; when they split, the page says so.
Grade the pick, then keep score in public.The trust color states the historically measured win rate for picks with that exact evidence shape — and every day's results are tallied against it, live on this page.