In the world of sports predictions, everyone shows results. Few publish them in full. Even fewer make them verifiable.
Here are ours. Unfiltered.
Why transparency is rare
Most tipsters and prediction services follow the same playbook: they publish their best picks, hide losing streaks, and display a spectacular ROI that doesn’t hold up to serious scrutiny.
The classic red flags:
- Screenshots of winning tickets (never the losing ones)
- A displayed ROI without specifying the period, number of bets, or calculation method
- “15 consecutive winning streaks” without showing what happened before and after
- No historical track record available at all times
The core problem: when you pay for predictions, you have no way to verify whether past results are real. You have to trust.
Our approach is different. Every signal is recorded before the match. Every result is published after the match. Everything is accessible in a public dashboard.
The raw numbers
Here are the results of our AI model on the WTA tour, flat staking at 100 EUR per bet.
| Metric | Value |
|---|---|
| Period | 2 years of real data |
| Number of bets | 2,181 |
| Overall ROI | +3.4% |
| Grand Slams ROI | +29.2% |
| Total profit | +7,440 EUR |
| Stake per bet | 100 EUR (flat) |
| Starting bankroll | 10,000 EUR |
| Average edge per bet | +8.2% |
| Signals per day | 2 to 3 on average |
A few notes on the calculation method.
Flat staking. Every bet is 100 EUR, no exceptions. No variable sizing based on confidence or odds. It is the most honest way to measure performance, because it eliminates stake management bias.
ROI = profit / total amount wagered. Over 2,181 bets at 100 EUR, total wagered is 218,100 EUR. Profit is 7,440 EUR. ROI = 7,440 / 218,100 = 3.4%.
No compounding. Some services display inflated ROI by using the Kelly Criterion with profit reinvestment. Over 2,000 bets, that can produce absurd returns on paper. Our numbers are calculated flat, giving realistic and reproducible results.
Why Grand Slams ROI is at +29.2%
The gap between overall ROI (+3.4%) and Grand Slams ROI (+29.2%) is not a fluke. Three factors explain it.
More data available. Grand Slam matches are the best documented on the tour. Detailed game stats, point-by-point data, match conditions recorded. The more data the model has, the more accurate its estimates.
Best-of-3-sets format. Grand Slam matches are played as best-of-3 sets (instead of best-of-2 on the rest of the tour). This format reduces variance: the better player wins more often in 3 sets than in 2. The model’s probabilities are therefore more reliable.
Less noise. Casual bettors are more active on Grand Slams (high-profile events). They bet on names, not on data. This fame bias distorts odds and creates more edges for a data-driven model.
What the numbers don’t tell you
A +3.4% ROI may seem modest. It is actually an exceptional result in the world of sports betting, for two reasons.
Consistency. A lucky bettor can have a +20% ROI over 50 bets. Over 2,181 bets, luck is smoothed out. A positive ROI at this volume proves a structural advantage, not a lucky streak.
The comparison. The average bettor loses between 5% and 15% of their stakes over the long run (that is the bookmaker’s margin). A +3.4% ROI means our model outperforms the average bettor by 8 to 18 points.
There is also what the numbers clearly show: there are losing periods. Weeks at -500 EUR. Entire negative months. That is normal and expected. The model doesn’t win every week. It wins over every 200-bet stretch.
If someone promises you a track record with zero losses, it is either a lie or cherry-picking.
How to verify our results
Three levels of verification are available.
The real-time dashboard
The dashboard displays cumulative P&L, ROI by period, and the list of every signal with its result. Each entry shows the date, match, odds taken, model probability, edge, and outcome (win/loss/void).
Pre-match signals
Every signal is sent before the match starts, by email, Telegram, or push notification. The send timestamp serves as proof. It is impossible to modify a signal after the fact.
P&L on the website
The homepage displays key metrics in real time: ROI, cumulative profit, number of bets. These numbers are generated automatically from the betting database and updated every 15 minutes.
A word about the future
Past results do not guarantee future results. This is true for any investment, and sports betting is no exception.
What we can guarantee:
- The model is recalibrated after every tournament with new data
- Every signal will continue to be recorded before the match and verified after
- The track record will remain public, with both good and bad periods
- The calculation methods will not change (flat staking, standard ROI)
If the model stops performing, you will see it in the numbers before we do. That is the principle of a transparent track record.
Access the dashboard and verify for yourself. 7-day free trial, no commitment.
Also read: Value Bet Tennis: The Complete Guide . How AI Detects Value Tennis Bets . 5 Mistakes That Cost You Money