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 28 of 64
- Jul 02 · WimbledonLoss
Arthur Fery vs Otto Virtanen
Otto Virtanen−0.5 games1.00— - Jul 02 · WimbledonWin
Frances Tiafoe vs Jan Choinski
Frances Tiafoe−2.5 games1.00— - Jul 02 · WimbledonWin
Gabriel Diallo vs Lorenzo Sonego
Lorenzo Sonego+0.5 games1.86+0.86 u - Jul 02 · WimbledonWin
Jacob Fearnley vs Jaume Munar
Jaume Munar+1.5 sets×1.73+0.73 u - Jul 02 · WimbledonWin
Jakub Mensik vs Grigor Dimitrov
Grigor Dimitrov−0.5 games2.55+1.55 u - Jul 02 · WimbledonWin
James Duckworth vs Flavio Cobolli
Flavio Cobolli−0.5 games1.38— - Jul 02 · WimbledonWin
Jiri Lehecka vs Alex Molcan
Jiri Lehecka−3.5 games×1.88+0.88 u - Jul 02 · WimbledonWin
Karen Khachanov vs Yannick Hanfmann
Karen Khachanov+1.5 sets1.30— - Jul 02 · WimbledonWin
Kyrian Jacquet vs Alexander Bublik
Alexander Bublik−1.5 games×1.81+0.81 u - Jul 02 · WimbledonWin
Matteo Berrettini vs Arthur Fils
Matteo Berrettini+1.5 games2.16+1.16 u - Jul 02 · WimbledonLoss
Quentin Halys vs Marcos Giron
Quentin Halys−1.5 games2.05−1.00 u - Jul 02 · WimbledonWin
Taylor Fritz vs Patrick Kypson
Taylor Fritz−4.5 games1.26— - Jul 02 · WimbledonWin
Valentin Royer vs Alexander Zverev
Alexander Zverev−5.5 games×1.66+0.66 u - Jul 02 · WimbledonWin
Zachary Svajda vs Kamil Majchrzak
Kamil Majchrzak−3.5 games1.98+0.98 u - Jul 02 · WimbledonLoss
Zizou Bergs vs Jaime Faria
Jaime Faria+3.5 games1.90−1.00 u - Jul 01 · BrasovWin
Zsombor Piros vs Stefan Palosi
Zsombor Piros−4.5 games—— - Jul 01 · MilanLoss
Elmer Moller vs Pierluigi Basile
Elmer Moller−0.5 games—— - Jul 01 · QuitoWin
Matheus Pucinelli De Almeida vs Daniel Antonio Nunez
Matheus Pucinelli De Almeida−0.5 games—— - Jul 01 · QuitoWin
Rodrigo Pacheco Mendez vs Segundo Goity Zapico
Rodrigo Pacheco Mendez−1.5 games—— - Jul 01 · TroyesWin
Inaki Montes-De La Torre vs Maxime Chazal
Inaki Montes-De La Torre−1.5 games—— - Jul 01 · TroyesWin
Kilian Feldbausch vs Ioannis Xilas
Kilian Feldbausch−2.5 games—— - Jul 01 · WimbledonWin
Alejandro Davidovich Fokina vs Fabian Marozsan
Alejandro Davidovich Fokina−1.5 games1.55+0.55 u - Jul 01 · WimbledonWin
Arthur Rinderknech vs Martin Damm
Arthur Rinderknech−2.5 games1.85+0.85 u - Jul 01 · WimbledonLoss
Brandon Nakashima vs Jan-Lennard Struff
Brandon Nakashima−3.5 games1.85−1.00 u - Jul 01 · WimbledonWin
Daniel Merida vs Daniil Medvedev
Daniil Medvedev−2.5 games×1.51+0.51 u - Jul 01 · WimbledonWin
Felix Auger-Aliassime vs Dino Prizmic
Felix Auger-Aliassime−2.5 games×1.61+0.61 u - Jul 01 · WimbledonLoss
Jannik Sinner vs Nuno Borges
Jannik Sinner−5.5 games×2.07−1.00 u - Jul 01 · WimbledonWin
Jenson Brooksby vs Ignacio Buse
Ignacio Buse+1.5 games2.01— - Jul 01 · WimbledonWin
Joao Fonseca vs Jesper de Jong
Joao Fonseca−3.5 games1.31— - Jul 01 · WimbledonLoss
Marton Fucsovics vs Learner Tien
Learner Tien−1.5 games1.12— - Jul 01 · WimbledonLoss
Nicolas Mejia vs Michael Zheng
Nicolas Mejia+5.5 games2.06−1.00 u - Jul 01 · WimbledonLoss
Rafael Jodar vs Pablo Carreno Busta
Rafael Jodar−1.5 games1.32— - Jul 01 · WimbledonLoss
Roman Safiullin vs Botic van de Zandschulp
Botic van de Zandschulp+1.5 games×2.24−1.00 u - Jul 01 · WimbledonWin
Sebastian Ofner vs Hubert Hurkacz
Sebastian Ofner+4.5 games1.79— - Jul 01 · WimbledonWin
Shintaro Mochizuki vs Ethan Quinn
Ethan Quinn−1.5 games1.44— - Jul 01 · WimbledonWin
Soonwoo Kwon vs Tommy Paul
Tommy Paul−5.5 games1.47— - Jul 01 · WimbledonWin
Stefanos Tsitsipas vs Novak Djokovic
Novak Djokovic−4.5 games1.44— - Jun 30 · BrasovWin
Guido Ivan Justo vs Sebastian Gima
Guido Ivan Justo−1.5 games—— - Jun 30 · BrasovWin
Lautaro Midon vs Stefan Horia Haita
Lautaro Midon−1.5 games1.30— - Jun 30 · BrasovLoss
Max Alcala Gurri vs Sascha Gueymard Wayenburg
Max Alcala Gurri−0.5 games—— - Jun 30 · BrasovWin
Zsombor Piros vs Radu Albot
Zsombor Piros−3.5 games1.55+0.55 u - Jun 30 · CaryLoss
Juan Pablo Ficovich vs Ozan Baris
Juan Pablo Ficovich−1.5 games—— - Jun 30 · CaryWin
Rei Sakamoto vs Jules Leroux
Rei Sakamoto−2.5 games×1.53+0.53 u - Jun 30 · MilanWin
Elmer Moller vs Norbert Gombos
Elmer Moller−1.5 games1.55+0.55 u - Jun 30 · MilanWin
Facundo Diaz Acosta vs Miguel Tobon
Facundo Diaz Acosta−1.5 games1.16— - Jun 30 · MilanWin
Francisco Comesana vs Matthew William Donald
Francisco Comesana−0.5 games×1.72+0.72 u - Jun 30 · MilanWin
Gustavo Heide vs Federico Agustin Gomez
Gustavo Heide−0.5 games1.14— - Jun 30 · MilanLoss
Hugo Dellien vs Alex Barrena
Hugo Dellien−3.5 games—— - Jun 30 · MilanWin
Marco Cecchinato vs Filippo Romano
Marco Cecchinato−0.5 games×2.02+1.02 u - Jun 30 · MilanLoss
Michele Ribecai vs Daniele Rapagnetta
Michele Ribecai−0.5 games×1.69−1.00 u
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 |