Updated: Nov 4, 2026
Public record
Every match the system called, recorded before it was played and settled with its result. A parlay takes one row per leg and counts as a single ticket, which is why there are more rows than bets. It updates itself: every published pick goes in before its match and is closed with the result.
How we measureThe model
Matches 3,092 · ML accuracy 71.7 %
- Matches
- 3,092
- ML accuracy
- 71.7 %
- Spread accuracy
- 67.7 %
How each figure is calculated
- Matches
- Rows with a result. A parlay takes one row per leg, and some called matches were never bet: that is why there are far more matches than bets.
- ML accuracy
- How often the model picked the actual winner. It measures the model, not the money.
- Spread accuracy
- How often the called line was covered. A bet can lose with the model right: the favourite wins but does not cover the handicap.
The bets
Bets 1,639 · ROI +11.3 % · P&L +184.72 u
- ROI
- +11.3 %
- P&L
- +184.72 u
- Worst drawdown
- −16.84 u
How each figure is calculated
- ROI
- Net profit divided by total amount staked, flat stake, over every recorded bet.
- P&L
- In units: 1 unit = 1 stake, so the record does not depend on how much anyone bets.
- Worst drawdown
- The deepest fall from a high. This is what has to be sat through.
Cumulative balance of the public record
- Balance
- Worst drawdown −16.84 u· Mar 17–24
- Now +184.72 u
- Bets
- 1,639
- Accuracy
- 60.6 %
- Odds
- 1.87
- Profit factor
- 1.29
- Variability
- 8.44
How each figure is calculated
- Accuracy
- Tickets won over tickets settled. A parlay counts as a single ticket: it wins only if every leg wins.
- Profit factor
- Winnings divided by losses. Above 1 the record makes money.
- Variability
- How much the result swings around its mean. The higher it is, the noisier and less reliable the ROI still is.
Breakdowns
By month, surface, tournament type and tournament
Result by month
- Profit
- Loss
Nov 202631 tickets
Oct 2026122 tickets
Sep 2026122 tickets
Aug 2026223 tickets
Jul 2026219 tickets
Jun 2026211 tickets
May 2026206 tickets
Apr 2026201 tickets
−2.22 u
−6.06 u
+19.53 u
+9.33 u
+30.38 u
+9.97 u
+12.21 u
+43.97 u
| Month | Tickets | Accuracy | P&L | ROI |
|---|---|---|---|---|
| Nov 2026 | 31 | 61.3 % | −2.22 u | -7.2 % |
| Oct 2026 | 122 | 64.8 % | −6.06 u | -5.0 % |
| Sep 2026 | 122 | 63.9 % | +19.53 u | +16.0 % |
| Aug 2026 | 223 | 55.2 % | +9.33 u | +4.2 % |
| Jul 2026 | 219 | 59.4 % | +30.38 u | +13.9 % |
| Jun 2026 | 211 | 56.9 % | +9.97 u | +4.7 % |
| May 2026 | 206 | 57.8 % | +12.21 u | +5.9 % |
| Apr 2026 | 201 | 63.2 % | +43.97 u | +21.9 % |
| Mar 2026 | 184 | 59.2 % | +18.20 u | +9.9 % |
| Feb 2026 | 120 | 74.2 % | +49.41 u | +41.2 % |
| Total | 1639 | 60.6 % | +184.72 u | +11.3 % |
Every ticket counts in one row only, so each table adds up to the summary. «Mixed parlay» is a parlay whose legs differ; «No data», older tickets that did not store it.
Hit rate by surface
- Hit rate
- Overall hit rate 60.6 %
Hard788 tickets
Clay648 tickets
Grass203 tickets
61 %
61 %
56 %
| Surface | Tickets | Accuracy | P&L | ROI |
|---|---|---|---|---|
| Hard | 788 | 61.0 % | +75.69 u | +9.6 % |
| Clay | 648 | 61.4 % | +98.64 u | +15.2 % |
| Grass | 203 | 56.2 % | +10.39 u | +5.1 % |
| Total | 1639 | 60.6 % | +184.72 u | +11.3 % |
Every ticket counts in one row only, so each table adds up to the summary. «Mixed parlay» is a parlay whose legs differ; «No data», older tickets that did not store it.
Hit rate by tournament type
- Hit rate
- Overall hit rate 60.6 %
Masters 1000530 tickets
ATP 250355 tickets
Challenger243 tickets
Grand Slam242 tickets
ATP 500218 tickets
Copa Davis24 tickets
Sin clasificar23 tickets
Laver Cup4 tickets
56 %
61 %
65 %
62 %
66 %
54 %
65 %
75 %
| Tournament type | Tickets | Accuracy | P&L | ROI |
|---|---|---|---|---|
| Masters 1000 | 530 | 55.7 % | +6.45 u | +1.2 % |
| ATP 250 | 355 | 61.1 % | +62.08 u | +17.5 % |
| Challenger | 243 | 64.6 % | +35.93 u | +14.8 % |
| Grand Slam | 242 | 61.6 % | +27.52 u | +11.4 % |
| ATP 500 | 218 | 66.1 % | +47.25 u | +21.7 % |
| Copa Davis | 24 | 54.2 % | +0.16 u | +0.7 % |
| Sin clasificar | 23 | 65.2 % | +3.80 u | +16.5 % |
| Laver Cup | 4 | 75.0 % | +1.53 u | +38.2 % |
| Total | 1639 | 60.6 % | +184.72 u | +11.3 % |
Every ticket counts in one row only, so each table adds up to the summary. «Mixed parlay» is a parlay whose legs differ; «No data», older tickets that did not store it.
| Tournament | Tickets | Accuracy | P&L | ROI |
|---|---|---|---|---|
| US Open | 92 | 63.0 % | +9.90 u | +10.8 % |
| Shanghai Masters | 92 | 60.9 % | −9.27 u | -10.1 % |
| Wimbledon | 79 | 60.8 % | +12.02 u | +15.2 % |
| Roland Garros | 71 | 60.6 % | +5.59 u | +7.9 % |
| Miami Masters | 68 | 45.6 % | −13.21 u | -19.4 % |
| Rome Masters | 68 | 52.9 % | −0.41 u | -0.6 % |
| Montreal Masters | 67 | 55.2 % | +5.78 u | +8.6 % |
| Cincinnati Masters | 66 | 47.0 % | −5.96 u | -9.0 % |
| Indian Wells Masters | 60 | 63.3 % | +15.76 u | +26.3 % |
| Madrid Masters | 60 | 56.7 % | +1.94 u | +3.2 % |
| Winston-Salem | 34 | 58.8 % | +3.44 u | +10.1 % |
| Monte Carlo Masters | 28 | 67.9 % | +13.06 u | +46.7 % |
| Kitzbuhel | 25 | 68.0 % | +7.46 u | +29.9 % |
| Acapulco | 24 | 70.8 % | +6.51 u | +27.1 % |
| Stuttgart | 24 | 58.3 % | +1.43 u | +6.0 % |
| Davis Cup | 24 | 54.2 % | +0.16 u | +0.7 % |
| Washington | 23 | 73.9 % | +7.74 u | +33.7 % |
| Geneva | 22 | 59.1 % | +2.13 u | +9.7 % |
| London (Queen's) | 22 | 50.0 % | −1.42 u | -6.4 % |
| Houston | 21 | 66.7 % | +4.13 u | +19.7 % |
| Halle | 21 | 42.9 % | −4.19 u | -20.0 % |
| Eastbourne | 20 | 55.0 % | +1.04 u | +5.2 % |
| Umag | 20 | 75.0 % | +10.25 u | +51.2 % |
| Paris Masters | 20 | 60.0 % | −1.86 u | -9.3 % |
| Doha | 19 | 94.7 % | +15.70 u | +82.6 % |
| Dubai | 19 | 63.2 % | +2.60 u | +13.7 % |
| Munich | 19 | 52.6 % | +0.63 u | +3.3 % |
| Delray Beach | 18 | 94.4 % | +16.72 u | +92.9 % |
| Mallorca | 18 | 61.1 % | +3.11 u | +17.3 % |
| Gstaad | 18 | 61.1 % | +1.97 u | +10.9 % |
| Hangzhou | 18 | 66.7 % | +5.97 u | +33.1 % |
| Santiago | 17 | 35.3 % | −4.58 u | -26.9 % |
| Barcelona | 17 | 70.6 % | +10.04 u | +59.1 % |
| Bastad | 17 | 47.1 % | −1.64 u | -9.6 % |
| Hamburg | 16 | 43.8 % | −3.59 u | -22.5 % |
| Estoril | 16 | 31.3 % | −5.57 u | -34.8 % |
| Los Cabos | 16 | 62.5 % | +4.75 u | +29.7 % |
| Chengdu | 15 | 73.3 % | +5.95 u | +39.7 % |
| 's-Hertogenbosch | 14 | 50.0 % | −1.87 u | -13.4 % |
| Beijing | 14 | 78.6 % | +2.92 u | +20.9 % |
| Rio de Janeiro | 13 | 92.3 % | +10.33 u | +79.4 % |
| Marrakech | 13 | 61.5 % | +1.88 u | +14.4 % |
| Bucharest | 12 | 66.7 % | +4.13 u | +34.4 % |
| Tokyo | 12 | 75.0 % | +0.60 u | +5.0 % |
| Centurion | 7 | 28.6 % | −3.09 u | -44.1 % |
| Milan | 6 | 66.7 % | +0.99 u | +16.5 % |
| Campinas | 5 | 60.0 % | −0.07 u | -1.4 % |
| Cagliari | 5 | 80.0 % | +2.08 u | +41.5 % |
| Tunis | 5 | 80.0 % | +3.25 u | +64.9 % |
| Braunschweig | 5 | 60.0 % | −0.06 u | -1.1 % |
| Brasilia | 4 | 75.0 % | +1.67 u | +41.7 % |
| Napoli | 4 | 50.0 % | −0.50 u | -12.4 % |
| Tallahassee | 4 | 25.0 % | −2.10 u | -52.5 % |
| Jiujiang | 4 | 75.0 % | +1.33 u | +33.2 % |
| Perugia | 4 | 75.0 % | +1.53 u | +38.2 % |
| Dublin | 4 | 50.0 % | −0.40 u | -10.1 % |
| Piracicaba | 4 | 75.0 % | +1.13 u | +28.2 % |
| Cary | 4 | 50.0 % | −0.73 u | -18.2 % |
| Bogota | 4 | 50.0 % | −0.73 u | -18.2 % |
| Cordenons | 4 | 25.0 % | −2.15 u | -53.8 % |
| Liberec | 4 | 75.0 % | +2.56 u | +64.0 % |
| Laver Cup | 4 | 75.0 % | +1.53 u | +38.2 % |
| Costa do Sauipe | 4 | 100.0 % | +2.65 u | +66.3 % |
| Metepec | 3 | 66.7 % | +0.54 u | +18.1 % |
| Saint-Brieuc | 3 | 33.3 % | −1.34 u | -44.7 % |
| Kigali | 3 | 100.0 % | +2.47 u | +82.3 % |
| Cherbourg | 3 | 66.7 % | +0.98 u | +32.5 % |
| Kigali 2 | 3 | 100.0 % | +1.90 u | +63.5 % |
| Crete 2 | 3 | 100.0 % | +2.49 u | +83.0 % |
| Asuncion | 3 | 66.7 % | +1.20 u | +40.1 % |
| Morelia | 3 | 66.7 % | +0.21 u | +7.0 % |
| Miyazaki | 3 | 100.0 % | +1.63 u | +54.2 % |
| Mexico City | 3 | 66.7 % | +0.18 u | +5.8 % |
| Shymkent | 3 | 100.0 % | +3.05 u | +101.7 % |
| Brazzaville | 3 | 100.0 % | +2.78 u | +92.8 % |
| Francavilla | 3 | 66.7 % | +0.65 u | +21.7 % |
| Bordeaux | 3 | 100.0 % | +3.03 u | +101.0 % |
| Valencia | 3 | 33.3 % | −1.33 u | -44.3 % |
| Bangalore 3 | 3 | 33.3 % | −0.85 u | -28.5 % |
| Centurion 2 | 3 | 33.3 % | −1.36 u | -45.3 % |
| Iasi | 3 | 100.0 % | +4.05 u | +135.0 % |
| Lincoln | 3 | 0.0 % | −3.00 u | -100.0 % |
| Pozoblanco | 3 | 33.3 % | −1.44 u | -48.0 % |
| Bloomfield Hills | 3 | 100.0 % | +2.40 u | +80.1 % |
| Hamburg Challenger | 3 | 66.7 % | +0.17 u | +5.7 % |
| Prague | 3 | 100.0 % | +1.81 u | +60.4 % |
| Bratislava | 3 | 100.0 % | +0.99 u | +33.0 % |
| Lugano | 2 | 100.0 % | +1.32 u | +66.0 % |
| Thionville | 2 | 50.0 % | −0.20 u | -10.0 % |
| Murcia | 2 | 100.0 % | +1.04 u | +52.0 % |
| Zadar | 2 | 100.0 % | +1.20 u | +60.2 % |
| Bucaramanga | 2 | 50.0 % | −0.37 u | -18.7 % |
| Split | 2 | 50.0 % | −0.40 u | -20.0 % |
| Menorca | 2 | 50.0 % | −0.26 u | -13.0 % |
| San Luis Potosi | 2 | 100.0 % | +2.13 u | +106.5 % |
| Madrid | 2 | 100.0 % | +2.23 u | +111.6 % |
| Wuning | 2 | 50.0 % | −0.40 u | -20.0 % |
| Oeiras 3 | 2 | 100.0 % | +1.59 u | +79.5 % |
| Santa Cruz | 2 | 100.0 % | +1.27 u | +63.3 % |
| Savannah | 2 | 100.0 % | +1.63 u | +81.5 % |
| Abidjan 2 | 2 | 100.0 % | +1.61 u | +80.3 % |
| Santos | 2 | 50.0 % | +0.02 u | +0.8 % |
| Cordoba | 2 | 100.0 % | +1.50 u | +75.0 % |
| Oeiras 4 | 2 | 50.0 % | −0.22 u | -11.0 % |
| Cervia | 2 | 100.0 % | +1.68 u | +84.2 % |
| Istanbul | 2 | 100.0 % | +1.65 u | +82.5 % |
| Asuncion 2 | 2 | 100.0 % | +1.38 u | +69.0 % |
| Poznan | 2 | 50.0 % | −0.07 u | -3.4 % |
| Royan | 2 | 50.0 % | −0.17 u | -8.5 % |
| Plovdiv | 2 | 100.0 % | +1.47 u | +73.6 % |
| Quito | 2 | 0.0 % | −2.00 u | -100.0 % |
| Liege | 2 | 100.0 % | +1.45 u | +72.5 % |
| Segovia | 2 | 50.0 % | −0.37 u | -18.5 % |
| Samsun | 2 | 50.0 % | −0.35 u | -17.4 % |
| San Marino | 2 | 100.0 % | +1.32 u | +65.8 % |
| Grodzisk Mazowiecki | 2 | 50.0 % | −0.14 u | -7.0 % |
| Lexington | 2 | 0.0 % | −2.00 u | -100.0 % |
| Plovdiv 2 | 2 | 0.0 % | −2.00 u | -100.0 % |
| Cancun | 2 | 50.0 % | −0.45 u | -22.5 % |
| Kingston 1 | 2 | 100.0 % | +2.09 u | +104.3 % |
| Charlottesville | 2 | 0.0 % | −2.00 u | -100.0 % |
| Taipei | 2 | 0.0 % | −2.00 u | -100.0 % |
| Tigre | 1 | 0.0 % | −1.00 u | -100.0 % |
| Lille | 1 | 100.0 % | +0.90 u | +90.0 % |
| Pune | 1 | 100.0 % | +0.78 u | +78.0 % |
| Tigre 2 | 1 | 100.0 % | +0.54 u | +54.0 % |
| Cap Cana | 1 | 0.0 % | −1.00 u | -100.0 % |
| Yokkaichi | 1 | 100.0 % | +1.10 u | +110.3 % |
| Alicante | 1 | 0.0 % | −1.00 u | -100.0 % |
| Monza | 1 | 0.0 % | −1.00 u | -100.0 % |
| Sarasota | 1 | 0.0 % | −1.00 u | -100.0 % |
| Gwangju | 1 | 100.0 % | +1.07 u | +107.3 % |
| Ostrava | 1 | 100.0 % | +0.54 u | +54.0 % |
| Aix-en-Provence | 1 | 0.0 % | −1.00 u | -100.0 % |
| Bengaluru 2 | 1 | 100.0 % | +0.78 u | +78.0 % |
| Little Rock | 1 | 0.0 % | −1.00 u | -100.0 % |
| Moldova | 1 | 0.0 % | −1.00 u | -100.0 % |
| Vicenza | 1 | 0.0 % | −1.00 u | -100.0 % |
| Heilbronn | 1 | 0.0 % | −1.00 u | -100.0 % |
| Prostejov | 1 | 100.0 % | +1.50 u | +150.0 % |
| Tyler | 1 | 100.0 % | +0.59 u | +59.0 % |
| Parma | 1 | 100.0 % | +0.70 u | +70.0 % |
| Nottingham 2 | 1 | 100.0 % | +0.67 u | +67.1 % |
| Targu Mures | 1 | 100.0 % | +1.39 u | +139.0 % |
| Brasov | 1 | 100.0 % | +0.55 u | +55.0 % |
| Troyes | 1 | 100.0 % | +0.64 u | +64.0 % |
| Trieste | 1 | 0.0 % | −1.00 u | -100.0 % |
| Bunschoten | 1 | 0.0 % | −1.00 u | -100.0 % |
| Granby | 1 | 100.0 % | +0.60 u | +60.0 % |
| Tampere | 1 | 0.0 % | −1.00 u | -100.0 % |
| Winnipeg | 1 | 100.0 % | +0.66 u | +66.0 % |
| Vancouver | 1 | 0.0 % | −1.00 u | -100.0 % |
| Hagen | 1 | 100.0 % | +0.58 u | +58.0 % |
| Astana | 1 | 0.0 % | −1.00 u | -100.0 % |
| Brownsburg | 1 | 100.0 % | +0.65 u | +65.0 % |
| Todi | 1 | 100.0 % | +0.82 u | +82.0 % |
| Roehampton 1 | 1 | 100.0 % | +0.63 u | +63.0 % |
| Sion | 1 | 0.0 % | −1.00 u | -100.0 % |
| Bari | 1 | 100.0 % | +0.17 u | +17.0 % |
| Porto 2 | 1 | 100.0 % | +0.27 u | +27.0 % |
| Mouilleron-Le-Captif | 1 | 100.0 % | +0.25 u | +25.0 % |
| Columbus | 1 | 0.0 % | −1.00 u | -100.0 % |
| Total | 1639 | 60.6 % | +184.72 u | +11.3 % |
Every ticket counts in one row only, so each table adds up to the summary. «Mixed parlay» is a parlay whose legs differ; «No data», older tickets that did not store it.
Match by match
3,153 rows · Page 29 of 64
- Jun 30 · MilanLoss
Oriol Roca Batalla vs Pierluigi Basile
Oriol Roca Batalla−3.5 games1.91−1.00 u - Jun 30 · QuitoWin
Eduardo Ribeiro vs Tomas Martinez
Eduardo Ribeiro−0.5 games1.12— - Jun 30 · QuitoWin
Hernan Casanova vs Mario Andre Galarraga
Hernan Casanova−3.5 games1.09— - Jun 30 · QuitoWin
Juan Manuel La Serna vs Alex Hernandez
Juan Manuel La Serna−1.5 games1.42— - Jun 30 · QuitoWin
Juan Pablo Varillas vs Dmitry Popko
Juan Pablo Varillas−0.5 games—— - Jun 30 · QuitoWin
Luis Carlos Alvarez vs Felipe Rivadeneira
Luis Carlos Alvarez−0.5 games1.07— - Jun 30 · QuitoLoss
Rodrigo Pacheco Mendez vs Bruno Fernandez
Rodrigo Pacheco Mendez−4.5 games—— - Jun 30 · TroyesWin
Eliakim Coulibaly vs Pavel Lagutin
Eliakim Coulibaly−1.5 games1.64+0.64 u - Jun 30 · TroyesWin
Kilian Feldbausch vs Samuele Pieri
Kilian Feldbausch−1.5 games1.28— - Jun 29 · CaryLoss
Giles Hussey vs William Manning
Giles Hussey−3.5 games×1.65−1.00 u - Jun 29 · QuitoWin
Matias Soto vs Mwendwa Mbithi
Matias Soto−0.5 games1.12— - Jun 29 · TroyesLoss
Dali Blanch vs Mickael Kaouk
Dali Blanch−0.5 games1.18— - Jun 29 · WimbledonLoss
Adam Walton vs Dino Prizmic
Adam Walton−0.5 games2.18−1.00 u - Jun 29 · WimbledonWin
Adolfo Daniel Vallejo vs Nicolas Mejia
Nicolas Mejia+1.5 games1.96+0.96 u - Jun 29 · WimbledonLoss
Adrian Mannarino vs Titouan Droguet
Titouan Droguet+3.5 games1.78−1.00 u - Jun 29 · WimbledonWin
Alejandro Davidovich Fokina vs Juan Manuel Cerundolo
Alejandro Davidovich Fokina−1.5 games1.29— - Jun 29 · WimbledonWin
Aleksandar Vukic vs Botic van de Zandschulp
Botic van de Zandschulp−2.5 games1.00— - Jun 29 · WimbledonLoss
Alex Michelsen vs Jacob Fearnley
Alex Michelsen−1.5 games1.83−1.00 u - Jun 29 · WimbledonWin
Alex Molcan vs Daniel Altmaier
Daniel Altmaier−1.5 games1.97+0.97 u - Jun 29 · WimbledonWin
Alex de Minaur vs Roman Andres Burruchaga
Alex de Minaur−4.5 games1.00— - Jun 29 · WimbledonLoss
Alexander Blockx vs Alexander Zverev
Alexander Zverev−3.5 games1.25— - Jun 29 · WimbledonWin
Alexandre Muller vs Tommy Paul
Tommy Paul−4.5 games1.11— - Jun 29 · WimbledonWin
Andrey Rublev vs Roman Safiullin
Andrey Rublev+1.5 sets1.23— - Jun 29 · WimbledonLoss
Arthur Rinderknech vs Oliver Tarvet
Arthur Rinderknech−4.5 games×3.12−1.00 u - Jun 29 · WimbledonWin
Benjamin Bonzi vs Gabriel Diallo
Benjamin Bonzi−2.5 games1.00— - Jun 29 · WimbledonWin
Botic van de Zandschulp vs Aleksandar Kovacevic
Botic van de Zandschulp−1.5 games1.67+0.67 u - Jun 29 · WimbledonWin
Brandon Nakashima vs Jack Pinnington Jones
Brandon Nakashima−3.5 games1.50— - Jun 29 · WimbledonLoss
Casper Ruud vs Hubert Hurkacz
Casper Ruud+3.5 games1.91−1.00 u - Jun 29 · WimbledonLoss
Corentin Moutet vs Marcos Giron
Corentin Moutet+0.5 games1.97— - Jun 29 · WimbledonWin
Dalibor Svrcina vs Learner Tien
Learner Tien−0.5 games×1.70+0.70 u - Jun 29 · WimbledonWin
Damir Dzumhur vs Arthur Fery
Arthur Fery−3.5 games1.55+0.55 u - Jun 29 · WimbledonWin
Dane Sweeny vs Grigor Dimitrov
Grigor Dimitrov−2.5 games1.00— - Jun 29 · WimbledonWin
Emilio Nava vs Ignacio Buse
Emilio Nava+1.5 games1.98+0.98 u - Jun 29 · WimbledonWin
Ethan Quinn vs Luciano Darderi
Ethan Quinn+1.5 sets1.30— - Jun 29 · WimbledonWin
Felix Auger-Aliassime vs Alexander Shevchenko
Felix Auger-Aliassime−4.5 games1.40— - Jun 29 · WimbledonWin
Frances Tiafoe vs Terence Atmane
Frances Tiafoe−3.5 games1.52+0.52 u - Jun 29 · WimbledonWin
Hamad Medjedovic vs Sebastian Ofner
Hamad Medjedovic+1.5 sets1.22— - Jun 29 · WimbledonWin
Jakub Mensik vs Toby Samuel
Jakub Mensik+1.5 sets1.20— - Jun 29 · WimbledonWin
Jan-Lennard Struff vs Sebastian Baez
Sebastian Baez+4.5 games1.92— - Jun 29 · WimbledonWin
Jannik Sinner vs Miomir Kecmanovic
Jannik Sinner−5.5 games1.30— - Jun 29 · WimbledonLoss
Jaume Munar vs Francisco Cerundolo
Francisco Cerundolo−3.5 games1.93−1.00 u - Jun 29 · WimbledonWin
Jenson Brooksby vs Aleksandar Vukic
Jenson Brooksby−3.5 games1.77+0.77 u - Jun 29 · WimbledonWin
Jesper de Jong vs Rinky Hijikata
Rinky Hijikata−1.5 games1.39— - Jun 29 · WimbledonWin
Jiri Lehecka vs Alexei Popyrin
Jiri Lehecka−4.5 games1.55+0.55 u - Jun 29 · WimbledonWin
Kamil Majchrzak vs Alejandro Tabilo
Kamil Majchrzak−1.5 games1.51+0.51 u - Jun 29 · WimbledonWin
Karen Khachanov vs Billy Harris
Karen Khachanov−0.5 games1.30— - Jun 29 · WimbledonWin
Kyrian Jacquet vs Vilius Gaubas
Kyrian Jacquet−3.5 games1.71+0.71 u - Jun 29 · WimbledonWin
Lorenzo Sonego vs Tomas Martin Etcheverry
Lorenzo Sonego−2.5 games×2.16+1.16 u - Jun 29 · WimbledonWin
Marco Trungelliti vs Martin Damm
Martin Damm−0.5 games1.26— - Jun 29 · WimbledonWin
Mariano Navone vs Flavio Cobolli
Flavio Cobolli−2.5 games1.46—
Picks on trial
Bets 113 · ROI +0.4 % · P&L +0.42 u
Picks from a strategy we are still adjusting. They are published marked «In testing» and measured here, separately: they do not count in the figures above. If it proves itself it moves to the main record; if not, it is withdrawn.
- Bets
- 113
- Accuracy
- 68.1 %
- ROI
- +0.4 %
- P&L
- +0.42 u
| Date | Match | Pick | Odds | Result | P&L (u) | Cumulative (u) |
|---|---|---|---|---|---|---|
| Oct 30 | Terence Atmane vs Seongchan HongSeoul | Terence Atmane−1.5 games | 1.44 | Win | +0.44 u | +2.89 u |
| Oct 30 | Terence Atmane vs Seongchan HongSeoul | Terence Atmane−2.5 games | 1.53 | Win | +0.53 u | +3.42 u |
| Oct 29 | Max Hans Rehberg vs Stefan KozlovSioux Falls | Max Hans Rehberg−1.5 games | 1.65 | Win | +0.65 u | +1.67 u |
| Oct 29 | Max Hans Rehberg vs Stefan KozlovSioux Falls | Max Hans Rehberg−2.5 games | 1.78 | Win | +0.78 u | +2.45 u |
| Oct 29 | Yaroslav Demin vs Harold MayotNingbo | Harold Mayot−3.5 games | 1.60 | Loss | −1.00 u | +2.42 u |
| Oct 29 | Yaroslav Demin vs Harold MayotNingbo | Harold Mayot−1.5 games | 1.35 | Loss | −1.00 u | +1.42 u |
| Oct 29 | Yaroslav Demin vs Harold MayotNingbo | Harold Mayot−2.5 games | 1.44 | Loss | −1.00 u | +0.42 u |
| Oct 28 | Charles Broom vs Yaroslav DeminNingbo | Charles Broom−1.5 games | 1.53 | Loss | −1.00 u | +2.02 u |
| Oct 28 | Charles Broom vs Yaroslav DeminNingbo | Charles Broom−2.5 games | 1.67 | Loss | −1.00 u | +1.02 u |
| Oct 27 | Stefan Kozlov vs Murphy CassoneSioux Falls | Under26.5 games | 1.50 | Void | — | +2.25 u |
| Oct 27 | Jenson Brooksby vs Bryce NakashimaSioux Falls | Over18.5 games | 1.44 | Loss | −1.00 u | +1.64 u |
| Oct 27 | Inaki Montes-De La Torre vs Toby SamuelBrest | Toby Samuel−3.5 games | 1.78 | Win | +0.78 u | +2.42 u |
| Oct 26 | Yu Hsiou Hsu vs Keegan SmithNingbo | Keegan Smith−1.5 games | 1.75 | Loss | −1.00 u | +2.78 u |
| Oct 26 | Rei Sakamoto vs Kasidit SamrejSeoul | Over18.5 games | 1.47 | Win | +0.47 u | +3.25 u |
| Oct 26 | Zsombor Piros vs Laslo DjereBrest | Over19.5 games | 1.47 | Loss | −1.00 u | +2.25 u |
| Oct 26 | Gabriel Diallo vs Nishesh BasavareddyBrest | Under29.5 games | 1.39 | Win | +0.39 u | +2.64 u |
| Oct 26 | Diego Dedura-Palomero vs Genaro Alberto OlivieriGuayaquil | Diego Dedura-Palomero−2.5 games | 1.60 | Win | +0.60 u | +3.02 u |
| Oct 23 | Tristan Schoolkate vs Jie CuiGuangzhou | Tristan Schoolkate−2.5 games | 1.72 | Loss | −1.00 u | +2.63 u |
| Oct 23 | Felipe Meligeni Alves vs Carlos Maria ZarateCali | Felipe Meligeni Alves−2.5 games | 1.40 | Win | +0.40 u | +3.03 u |
| Oct 23 | Alex Marti Pujolras vs Sandro KoppFlorencia | Sandro Kopp−2.5 games | 1.75 | Win | +0.75 u | +3.78 u |
| Oct 22 | Oriol Roca Batalla vs Dimitris SakellaridisFlorencia | Oriol Roca Batalla−2.5 games | 1.31 | Win | +0.31 u | +2.15 u |
| Oct 22 | Coleman Wong vs Jay FriendGuangzhou | Coleman Wong−2.5 games | 1.78 | Win | +0.78 u | +3.38 u |
| Oct 22 | Kaylan Bigun vs Aidan MayoFort Worth | Aidan Mayo−2.5 games | 1.70 | Win | +0.70 u | +4.08 u |
| Oct 22 | Andrej Nedic vs Alex Marti PujolrasFlorencia | Andrej Nedic−2.5 games | 1.53 | Loss | −1.00 u | +3.08 u |
| Oct 22 | Jie Cui vs Yibing WuGuangzhou | Over19.5 games | 1.55 | Win | +0.55 u | +3.63 u |
| Oct 21 | Max Alcala Gurri vs Elmer MollerLisboa | Under25.5 games | 1.55 | Loss | −1.00 u | +1.57 u |
| Oct 21 | Gustavo Heide vs Juan Pablo VarillasCali | Over19.5 games | 1.52 | Win | +0.52 u | +2.09 u |
| Oct 21 | Keegan Smith vs Fajing SunGuangzhou | Keegan Smith−2.5 games | 1.67 | Loss | −1.00 u | +1.09 u |
| Oct 21 | Juan Manuel La Serna vs Juan Bautista TorresCali | Juan Manuel La Serna−2.5 games | 1.75 | Win | +0.75 u | +1.84 u |
| Oct 21 | Matej Dodig vs Marco CecchinatoLisboa | Matej Dodig−1.5 games | 1.45 | Win | +0.45 u | +2.60 u |
| Oct 20 | Hayato Matsuoka vs Yibing WuGuangzhou | Over18.5 games | 1.47 | Loss | −1.00 u | +1.91 u |
| Oct 20 | Fajing Sun vs Qian SunGuangzhou | Fajing Sun−3.5 games | 1.35 | Win | +0.35 u | +1.86 u |
| Oct 20 | Sergey Fomin vs Tristan SchoolkateGuangzhou | Over17.5 games | 1.23 | Win | +0.23 u | +1.09 u |
| Oct 20 | Marco Trungelliti vs Tiago PereiraLisboa | Tiago Pereira+5.5 games | 1.62 | Void | — | +1.84 u |
| Oct 20 | Thiago Seyboth Wild vs Nicolas KickerCali | Nicolas Kicker+7.5 games | 1.29 | Void | — | +1.84 u |
| Oct 20 | Matias Soto vs Samuel HerediaCali | Samuel Heredia+5.5 games | 1.60 | Void | — | +1.44 u |
| Oct 20 | Braden Shick vs Gabriel DebruFort Worth | Braden Shick+4.5 games | 1.28 | Void | — | +1.44 u |
| Oct 20 | Nick Hardt vs Francisco ComesanaCali | Over17.5 games | 1.30 | Win | +0.30 u | +2.05 u |
| Oct 20 | Hugo Dellien vs Juan Manuel La SernaCali | Over18.5 games | 1.37 | Win | +0.37 u | +2.80 u |
| Oct 20 | Henry Searle vs Massimo GiuntaFlorencia | Over19.5 games | 1.39 | Win | +0.39 u | +3.19 u |
| Oct 20 | Francesco Passaro vs Gastao EliasLisboa | Over17.5 games | 1.57 | Loss | −1.00 u | +2.53 u |
| Oct 20 | Federico Coria vs Nicolas MejiaCali | Over17.5 games | 1.52 | Win | +0.52 u | +3.05 u |
| Oct 20 | Andrea Pellegrino vs Pol Martin TiffonLisboa | Pol Martin Tiffon+1.5 sets | 1.55 | Void | — | +3.05 u |
| Oct 20 | Gonzalo Villanueva vs Miguel TobonCali | Over17.5 games | 1.24 | Win | +0.24 u | +3.29 u |
| Oct 20 | Filippo Romano vs Filip Cristian JianuFlorencia | Over17.5 games | 1.23 | Loss | −1.00 u | +2.29 u |
| Oct 20 | Sandro Kopp vs Gianluca CadenassoFlorencia | Sandro Kopp+5.5 games | 1.30 | Void | — | +2.29 u |
| Oct 20 | Alastair Gray vs Lui MaxtedFort Worth | Alastair Gray+4.5 games | 1.23 | Void | — | +2.67 u |
| Oct 20 | Aidan Mayo vs Colton SmithFort Worth | Aidan Mayo+4.5 games | 1.36 | Void | — | +3.27 u |
| Oct 20 | Sebastian Gorzny vs Igor MarcondesFort Worth | Igor Marcondes+1.5 sets | 1.57 | Win | +0.57 u | +4.34 u |
| Oct 20 | Cosme Rolland De Ravel vs Ozan BarisFort Worth | Cosme Rolland De Ravel+4.5 games | 1.40 | Void | — | +4.70 u |