Your research toolkit
Replace intuition with evidence.
Model Probabilities
We generate our own win probabilities and upset probability based on form, H2H and market odds.
Surface-Aware Reports
We break down every key tennis stat by surface and tour level, for matches and individual players - including deep head-to-head splits.
Data Exports (CSV)
Power user? Download CSV files: full season + archive matches with odds, and deep surface-split datasets for H2H meetings and player season form (advanced metrics included).
Pro Tools
No fluff. Just raw data, model outputs, and tools designed for rapid analysis.
Pro Tools Highlights
Advanced H2H Search
Get detailed stats for direct matches:
- Surface + tour splits (Hard/Clay/Grass • Main/Challenger)
- All key metrics (plus advanced ones)
- Betting angles included (avg odds, favorite/underdog yields, etc)
- CSV Downloads
Season H2H Search
Compare two players' season form with full context:
- Surface + tour splits (Hard/Clay/Grass • Main/Challenger)
- Key + advanced metrics across serve, return, and pressure stats
- Betting angles: avg odds, favorite/underdog yields, and more
- CSV downloads for deeper analysis
Season Top Performers
Find season leaders by the metrics that matter:
- Surface + tour filters (Hard/Clay/Grass • Main/Challenger)
- Yield, aces, double faults, tiebreaks, dominance (wins to 0), and a lot more
Find Value Bets
Identify edges when implied odds diverge from our probabilities:
- Compare implied odds vs our model probability
- Filter by tour, market, probability, and sentiment
Find Profitable Intervals
Identify which probability ranges produce positive yield:
- Break down results by WinProb and UpsetProb
- Yield-first view with sample size included
- Compare intervals across ATP/WTA, Main/Challenger
- Track average odds and win rate
Daily Model Picks
Track performance of selected model bets with full transparency:
- Auto (Value-only): picks only when there’s a clear edge vs the market
- Auto (All bets): picks from the full board, not just value gaps
- Handpicked: curated picks from all available bets (manual selection)
- Performance views: cycle / overall, per bet / daily, with a yield chart
- Full log: settled, open, wins, losses, voids + current yield
CSV Exports
Download clean datasets for your own analysis:
- Player season stats (deep metrics + surface/tour splits)
- Direct H2H stats (advanced meeting breakdowns)
- Season H2H (season-form matchup comparison)
- Full season matches (complete match list with odds)
Professional data access.
One simple plan. No upsells.
Full Access
€9.99/month
- Direct H2H: deep meeting stats + surface splits
- Season H2H: season-form matchup comparison
- Surface Filters: Hard/Clay/Grass + tour level
- Profitable Bands: yields and intervals
- Daily Picks: auto + handpicked
- CSV Exports: players, H2H, season matches
Safe & Secure checkout via Stripe. Cancel anytime.
"Designed for research and decision-making — you stay in control."
Common Questions
How accurate is your data?
We aim to be as accurate as possible and continuously validate our feeds, but occasional issues can happen: some matches may have missing stats, delayed updates, or rare errors, and we flag or exclude incomplete data where needed.
Do you also offer live data?
We update live match scores at regular intervals, usually fast enough to follow the action, but we’re not a dedicated live-scoring site - expect occasional delays (usually 2 minutes).
Do you use AI for predictions?
We use AI alongside other tools, feeding it large volumes of data, and one thing AI does especially well is comparing lots of numbers, understanding the patterns, and reasoning from them.
How do you calculate 'Fair Odds'?
Fair Odds are the odds implied by our model probabilities.
In decimal odds: Fair Odds = 1 / (Model % as a decimal).
Example: 50% → 1 / 0.50 = 2.00. 62.5% → 1 / 0.625 = 1.60.
In decimal odds: Fair Odds = 1 / (Model % as a decimal).
Example: 50% → 1 / 0.50 = 2.00. 62.5% → 1 / 0.625 = 1.60.
What is 'Edge' and how should I use it?
Edge is the gap between our model probabilities and the market’s implied probability. If our model probability is higher than the market implied probability, that’s a positive edge.
Bigger positive edges suggest more value (but still consider sample size, volatility, and limits).
Bigger positive edges suggest more value (but still consider sample size, volatility, and limits).
What does 'UpsetProb' mean?
It’s our estimate of how likely an upset is in that matchup (i.e., how “fragile” the favorite is / how good the underdog is). It’s used as an additional risk/context layer next to Win Probability.
How do surface and tour filters change the stats?
They change the sample you’re looking at. A player can be strong overall but mediocre on clay, or dominant on Challenger but less effective on the main tour.
What’s the difference between Direct H2H and Season H2H?
Direct H2H = only matches where these two players actually played each other (their meetings).
Season H2H = comparing their season form side-by-side (not head-to-head), using the same filters (surface/tour) to create a matchup-style comparison.
Season H2H = comparing their season form side-by-side (not head-to-head), using the same filters (surface/tour) to create a matchup-style comparison.
How do the daily picks models work?
Auto (Value-only): selects bets only when there’s a positive Edge % (our probability is higher than the odds imply).
Auto (All bets): selects from the full slate using fixed rules, even if the edge is smaller or neutral.
Handpicked: manually selected from the full slate, prioritizing cleaner setups (surface fit, stronger samples, less noise).
Picks are constrained by our profitable probability intervals, and we typically target odds above ~1.50. The profitable intervals are data-driven and visible to Pro users.
Auto (All bets): selects from the full slate using fixed rules, even if the edge is smaller or neutral.
Handpicked: manually selected from the full slate, prioritizing cleaner setups (surface fit, stronger samples, less noise).
Picks are constrained by our profitable probability intervals, and we typically target odds above ~1.50. The profitable intervals are data-driven and visible to Pro users.