Updated: Nov 3, 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 3,087 · ML accuracy 71.7 %
- Matches
- 3,087
- 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 1,634 · ROI +11.2 % · P&L +183.07 u
- ROI
- +11.2 %
- P&L
- +183.07 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 +183.07 u
- Bets
- 1,634
- Accuracy
- 60.5 %
- Odds
- 1.88
- Profit factor
- 1.28
- Variability
- 8.49
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 202626 tickets
Oct 2026122 tickets
Sep 2026122 tickets
Aug 2026223 tickets
Jul 2026219 tickets
Jun 2026211 tickets
May 2026206 tickets
Apr 2026201 tickets
−3.87 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 | 26 | 57.7 % | −3.87 u | -14.9 % |
| 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 | 1634 | 60.5 % | +183.07 u | +11.2 % |
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 60.5 %
Hard787 tickets
Clay644 tickets
Grass203 tickets
61 %
61 %
56 %
| Surface | Tickets | Accuracy | P&L | ROI |
|---|---|---|---|---|
| Hard | 787 | 61.1 % | +76.69 u | +9.7 % |
| Clay | 644 | 61.2 % | +95.99 u | +14.9 % |
| Grass | 203 | 56.2 % | +10.39 u | +5.1 % |
| Total | 1634 | 60.5 % | +183.07 u | +11.2 % |
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 60.5 %
Masters 1000529 tickets
ATP 250355 tickets
Grand Slam242 tickets
Challenger239 tickets
ATP 500218 tickets
Copa Davis24 tickets
Sin clasificar23 tickets
Laver Cup4 tickets
56 %
61 %
62 %
64 %
66 %
54 %
65 %
75 %
| Tournament type | Tickets | Accuracy | P&L | ROI |
|---|---|---|---|---|
| Masters 1000 | 529 | 55.8 % | +7.45 u | +1.4 % |
| ATP 250 | 355 | 61.1 % | +62.08 u | +17.5 % |
| Grand Slam | 242 | 61.6 % | +27.52 u | +11.4 % |
| Challenger | 239 | 64.0 % | +33.28 u | +13.9 % |
| 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 | 1634 | 60.5 % | +183.07 u | +11.2 % |
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 % |
| 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 % |
| Paris Masters | 19 | 63.2 % | −0.86 u | -4.5 % |
| 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 % |
| 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 | 1634 | 60.5 % | +183.07 u | +11.2 % |
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
3,148 rows · Page 12 of 63
- Sep 04 · US OpenLoss
Valentin Vacherot vs Frances Tiafoe
Valentin Vacherot+2.5 games1.83−1.00 u - Sep 04 · US OpenWin
Yibing Wu vs Carlos Alcaraz
Carlos Alcaraz−5.5 games1.34— - Sep 03 · US OpenWin
Alexander Blockx vs Marco Trungelliti
Alexander Blockx−3.5 games1.34— - Sep 03 · US OpenLoss
Alexei Popyrin vs Alejandro Tabilo
Alejandro Tabilo−4.5 games2.57−1.00 u - Sep 03 · US OpenLoss
Benjamin Bonzi vs Ignacio Buse
Ignacio Buse−1.5 games1.78−1.00 u - Sep 03 · US OpenLoss
Botic van de Zandschulp vs Alex de Minaur
Alex de Minaur−2.5 games×1.96−1.00 u - Sep 03 · US OpenLoss
Dane Sweeny vs Lorenzo Musetti
Lorenzo Musetti−4.5 games1.12— - Sep 03 · US OpenLoss
Felix Auger-Aliassime vs Karen Khachanov
Felix Auger-Aliassime−3.5 games1.62−1.00 u - Sep 03 · US OpenWin
Gael Monfils vs Learner Tien
Learner Tien−3.5 games1.37— - Sep 03 · US OpenWin
Jakub Mensik vs Jurij Rodionov
Jakub Mensik−3.5 games×1.57+0.57 u - Sep 03 · US OpenWin
Jan-Lennard Struff vs Francisco Cerundolo
Francisco Cerundolo−2.5 games1.72+0.72 u - Sep 03 · US OpenLoss
Luciano Darderi vs Dalibor Svrcina
Dalibor Svrcina+2.5 games1.85−1.00 u - Sep 03 · US OpenWin
Taylor Fritz vs Mattia Bellucci
Taylor Fritz−4.5 games×1.76+0.76 u - Sep 03 · US OpenWin
Tristan Schoolkate vs Flavio Cobolli
Flavio Cobolli−2.5 games1.27— - Sep 03 · US OpenLoss
Yunchaokete Bu vs Michael Zheng
Yunchaokete Bu+3.5 games1.85−1.00 u - Sep 03 · US OpenLoss
Zachary Svajda vs Arthur Gea
Arthur Gea+0.5 games1.82−1.00 u - Sep 03 · US OpenWin
Zizou Bergs vs Jesper de Jong
Zizou Bergs−0.5 games1.34+0.34 u - Sep 02 · US OpenWin
Alexander Bublik vs Adrian Mannarino
Alexander Bublik−3.5 games1.50+0.50 u - Sep 02 · US OpenWin
Ben Shelton vs Hubert Hurkacz
Ben Shelton−3.5 games1.78+0.78 u - Sep 02 · US OpenWin
Brandon Nakashima vs Alex Michelsen
Alex Michelsen+4.5 games1.70+0.70 u - Sep 02 · US OpenLoss
Daniel Merida vs Andrey Rublev
Andrey Rublev−1.5 games1.82−1.00 u - Sep 02 · US OpenWin
Daniil Medvedev vs Sebastian Gorzny
Daniil Medvedev−6.5 games1.32— - Sep 02 · US OpenWin
Denis Shapovalov vs Luca Van Assche
Denis Shapovalov+1.5 sets1.33— - Sep 02 · US OpenWin
Dino Prizmic vs Tommy Paul
Tommy Paul−1.5 games×1.73+0.73 u - Sep 02 · US OpenWin
Jaime Faria vs Carlos Alcaraz
Carlos Alcaraz−5.5 games×1.79+0.79 u - Sep 02 · US OpenWin
James Duckworth vs Yibing Wu
Yibing Wu−0.5 games1.65+0.65 u - Sep 02 · US OpenWin
Jaume Munar vs Arthur Rinderknech
Arthur Rinderknech−0.5 games1.50+0.50 u - Sep 02 · US OpenWin
Jiri Lehecka vs Toby Samuel
Jiri Lehecka+1.5 sets×1.54+0.54 u - Sep 02 · US OpenWin
Lloyd Harris vs Stefanos Tsitsipas
Stefanos Tsitsipas−0.5 games1.40— - Sep 02 · US OpenLoss
Matteo Berrettini vs Mariano Navone
Matteo Berrettini−0.5 games1.65−1.00 u - Sep 02 · US OpenWin
Rei Sakamoto vs Frances Tiafoe
Frances Tiafoe−2.5 games1.37— - Sep 02 · US OpenWin
Tomas Martin Etcheverry vs Jacob Fearnley
Tomas Martin Etcheverry+1.5 sets1.37+0.37 u - Sep 02 · US OpenWin
Valentin Vacherot vs Kamil Majchrzak
Kamil Majchrzak+5.5 games×1.68+0.68 u - Sep 01 · US OpenLoss
Adolfo Daniel Vallejo vs Gael Monfils
Adolfo Daniel Vallejo−3.5 games2.18−1.00 u - Sep 01 · US OpenLoss
Alex Molcan vs Benjamin Bonzi
Alex Molcan+0.5 games2.55−1.00 u - Sep 01 · US OpenWin
Andrea Guerrieri vs Alex de Minaur
Alex de Minaur−5.5 games1.19— - Sep 01 · US OpenWin
Arthur Fery vs Lorenzo Musetti
Lorenzo Musetti−1.5 games1.30— - Sep 01 · US OpenWin
Camilo Ugo Carabelli vs Jan-Lennard Struff
Jan-Lennard Struff−1.5 games1.55+0.55 u - Sep 01 · US OpenWin
Dane Sweeny vs Corentin Moutet
Corentin Moutet+1.5 sets1.00— - Sep 01 · US OpenWin
Fabian Marozsan vs Michael Zheng
Michael Zheng+1.5 sets1.34+0.34 u - Sep 01 · US OpenWin
Filip Misolic vs Francisco Cerundolo
Francisco Cerundolo−4.5 games1.18— - Sep 01 · US OpenLoss
Francisco Comesana vs Flavio Cobolli
Flavio Cobolli−1.5 games1.27— - Sep 01 · US OpenWin
Jan Choinski vs Botic van de Zandschulp
Botic van de Zandschulp−3.5 games1.50+0.50 u - Sep 01 · US OpenWin
Jesper de Jong vs Francesco Passaro
Jesper de Jong−3.5 games2.12+1.12 u - Sep 01 · US OpenWin
Juan Manuel Cerundolo vs Arthur Gea
Arthur Gea+1.5 sets1.39+0.39 u - Sep 01 · US OpenWin
Marcos Giron vs Ignacio Buse
Ignacio Buse−1.5 games1.78+0.78 u - Sep 01 · US OpenWin
Mattia Bellucci vs Zsombor Piros
Mattia Bellucci−1.5 games1.52+0.52 u - Sep 01 · US OpenLoss
Nishesh Basavareddy vs Tristan Schoolkate
Nishesh Basavareddy−2.5 games×1.89−1.00 u - Sep 01 · US OpenWin
Rafael Jodar vs Thanasi Kokkinakis
Rafael Jodar−2.5 games×1.83+0.83 u - Sep 01 · US OpenWin
Taylor Fritz vs Darwin Blanch
Taylor Fritz−6.5 games1.44—
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 |