Jaime Faria
Market Model 49.0% 42.5%
Grigor Dimitrov
Market Model 50.0% 57.5%
Tennis Markets
Active Markets (34)
Jannik Sinner
Market Model 86.0% 86.9%
Casper Ruud
Market Model 16.0% 13.1%
Casper Ruud -3.5 games
Market Model 64.0% 46.7%
Casper Ruud -9.5 games
Market Model 0.0% 0.1%
Stan Wawrinka wins 2-1
Market Model 21.0% 88.0%
Alejandro Tabilo wins 2-0
Market Model 0.0% 5.9%
Emilio Nava
Market Model 46.0% 48.2%
Laslo Djere
Market Model 54.0% 51.8%
Elina Svitolina
Market Model 42.0% 49.3%
Coco Gauff
Market Model 59.0% 50.7%
Jaume Munar
Market Model 60.0% 56.1%
Pablo Carreno Busta
Market Model 40.0% 43.9%
Alex Molcan
Market Model 56.0% 59.3%
Tallon Griekspoor
Market Model 46.0% 40.7%
Roman Andres Burruchaga
Market Model 1.0% 2.3%
Juan Manuel Cerundolo
Market Model 99.0% 97.7%
Joao Vitor Scramin do Lago
Market Model 21.0% 18.0%
Nicolas Bruna
Market Model 80.0% 82.0%
Pavlos Tsitsipas
Market Model 37.0% 30.0%
Mateo Del Pino
Market Model 72.0% 70.0%
Arthur Rinderknech
Market Model 64.0% 62.6%
Martin Damm Jr
Market Model 35.0% 37.4%
Luciano Darderi
Market Model 27.0% 13.6%
Casper Ruud
Market Model 74.0% 86.4%
Sebastian Baez
Market Model 61.0% 64.0%
Pablo Carreno Busta
Market Model 41.0% 36.0%
Over 21.5 games
Market Model 55.0% 48.0%
Over 16.5 games
Market Model 0.0% 61.5%
Tamara Korpatsch
Market Model 49.0% 41.5%
Alina Charaeva
Market Model 52.0% 58.5%
Tiantsoa Sarah Rakotomanga Rajaonah
Market Model 9.0% 6.8%
Madison Keys
Market Model 93.0% 93.2%
Anna Blinkova
Market Model 36.0% 30.4%
Aliaksandra Sasnovich
Market Model 66.0% 69.6%
Elina Svitolina
Market Model 24.0% 19.0%
Iga Swiatek
Market Model 78.0% 81.0%
Sorana Cirstea
Market Model 32.0% 25.2%
Coco Gauff
Market Model 69.0% 74.8%
Martin Landaluce
Market Model 30.0% 25.8%
Daniil Medvedev
Market Model 72.0% 74.2%
Andrey Rublev
Market Model 5.0% 3.8%
Jannik Sinner
Market Model 96.0% 96.2%
Daniil Medvedev
Market Model 63.0% 79.3%
Pablo Llamas Ruiz
Market Model 38.0% 20.7%
Frances Tiafoe
Market Model 10.0% 8.6%
Andrea Pellegrino
Market Model 91.0% 91.4%
Coco Gauff
Market Model 76.0% 75.2%
Iva Jovic
Market Model 25.0% 24.8%
Flavio Cobolli
Market Model 56.0% 93.0%
Thiago Agustin Tirante
Market Model 0.0% 7.0%
Alexander Blockx
Market Model 1.0% 13.0%
Alexander Zverev
Market Model 99.0% 87.0%
Alexander Bublik
Market Model 66.0% 71.6%
Learner Tien
Market Model 36.0% 28.4%
Abhinav Sanjeev Shanmugam
Market Model 48.0% 52.5%
Christopher Papa
Market Model 52.0% 47.5%
Nitin Kumar Sinha
Market Model 57.0% 61.2%
Adil Kalyanpur
Market Model 41.0% 38.8%
Alexander Blockx
Market Model 86.0% 87.8%
Federico Cina
Market Model 16.0% 12.2%
Jacob Fearnley
Market Model 18.0% 22.8%
Giovanni Mpetshi Perricard
Market Model 84.0% 77.2%
Carlos Alcaraz
Market Model 5.0% 3.5%
Jannik Sinner
Market Model 89.0% 81.3%
Jannik Sinner
Market Model 81.0% 75.0%
Novak Djokovic
Market Model 12.0% 3.5%
| Event | Market | Model | Conf | Volume | |
|---|---|---|---|---|---|
| Faria vs Dimitrov Top outcome: Jaime Faria | 49.0% | 42.5% | High | $1,320,368.98 | Refresh |
| ATP Rome Winner: Sinner vs Ruud Top outcome: Jannik Sinner | 86.0% | 86.9% | High | $753,606.33 | Refresh |
| Jenson Brooksby vs Casper Ruud: Game Spread Top outcome: Casper Ruud -3.5 games | 64.0% | 46.7% | High | $12.69 | Refresh |
| Alejandro Tabilo vs Stan Wawrinka: Exact Match Score Top outcome: Stan Wawrinka wins 2-1 | 21.0% | 88.0% | High | $22.77 | Refresh |
| Djere vs Nava Top outcome: Emilio Nava | 46.0% | 48.2% | High | $63,277.71 | Refresh |
| WTA Rome Winner Top outcome: Elina Svitolina | 42.0% | 49.3% | High | $197,883.43 | Refresh |
| Carreno Busta vs Munar Top outcome: Jaume Munar | 60.0% | 56.1% | High | $32,829.51 | Refresh |
| Molcan vs Griekspoor Top outcome: Alex Molcan | 56.0% | 59.3% | High | $36,182.95 | Refresh |
| Cerundolo vs Burruchaga Top outcome: Roman Andres Burruchaga | 1.0% | 2.3% | High | $1,082,240.41 | Refresh |
| Scramin do Lago vs Bruna Top outcome: Joao Vitor Scramin do Lago | 21.0% | 18.0% | High | $244.16 | Refresh |
| Del Pino vs Tsitsipas Top outcome: Pavlos Tsitsipas | 37.0% | 30.0% | High | $1,119.63 | Refresh |
| Rinderknech vs Damm Jr Top outcome: Arthur Rinderknech | 64.0% | 62.6% | High | $36,004 | Refresh |
| Ruud vs Darderi Top outcome: Luciano Darderi | 27.0% | 13.6% | High | $10,515.07 | Refresh |
| Baez vs Carreno Busta Top outcome: Sebastian Baez | 61.0% | 64.0% | High | $33,352.33 | Refresh |
| Martin Landaluce vs Daniil Medvedev: Total Games Top outcome: Over 21.5 games | 55.0% | 48.0% | High | $730.83 | Refresh |
| Charaeva vs Korpatsch Top outcome: Tamara Korpatsch | 49.0% | 41.5% | High | $6,293.57 | Refresh |
| Keys vs Rakotomanga Rajaonah Top outcome: Tiantsoa Sarah Rakotomanga Rajaonah | 9.0% | 6.8% | High | $187.54 | Refresh |
| Sasnovich vs Blinkova Top outcome: Anna Blinkova | 36.0% | 30.4% | High | $487.7 | Refresh |
| Swiatek vs Svitolina Top outcome: Elina Svitolina | 24.0% | 19.0% | High | $9,026.84 | Refresh |
| Cirstea vs Gauff Top outcome: Sorana Cirstea | 32.0% | 25.2% | High | $51,380.91 | Refresh |
| Landaluce vs Medvedev Top outcome: Martin Landaluce | 30.0% | 25.8% | High | $38,029.59 | Refresh |
| Sinner vs Rublev Top outcome: Andrey Rublev | 5.0% | 3.8% | High | $231,546.12 | Refresh |
| Llamas Ruiz vs Medvedev Top outcome: Daniil Medvedev | 63.0% | 79.3% | High | $2,764,152.11 | Refresh |
| Tiafoe vs Pellegrino Top outcome: Frances Tiafoe | 10.0% | 8.6% | High | $1,336,456.8 | Refresh |
| Gauff vs Jovic Top outcome: Coco Gauff | 76.0% | 75.2% | High | $2,884,528.46 | Refresh |
| Flavio Cobolli vs Thiago Agustin Tirante: Set 2 Winner Top outcome: Flavio Cobolli | 56.0% | 93.0% | High | $65 | Refresh |
| Blockx vs Zverev Top outcome: Alexander Blockx | 1.0% | 13.0% | High | $1,185,937.78 | Refresh |
| Tien vs Bublik Top outcome: Alexander Bublik | 66.0% | 71.6% | High | $5,041.11 | Refresh |
| Papa vs Shanmugam Top outcome: Abhinav Sanjeev Shanmugam | 48.0% | 52.5% | High | $2.84 | Refresh |
| Sinha vs Kalyanpur Top outcome: Nitin Kumar Sinha | 57.0% | 61.2% | High | $1,023 | Refresh |
| Cina vs Blockx Top outcome: Alexander Blockx | 86.0% | 87.8% | High | $1,402,935.42 | Refresh |
| Fearnley vs Mpetshi Perricard Top outcome: Jacob Fearnley | 18.0% | 22.8% | High | $1,827,244.01 | Refresh |
| ATP #1 Ranked Men's Singles Player on Dec 31, 2026? Top outcome: Carlos Alcaraz | 5.0% | 3.5% | High | $10,725.66 | Refresh |
| Who will win a ATP Grand Slam in 2026? Top outcome: Jannik Sinner | 81.0% | 75.0% | Med | $115,781 | Refresh |
Expired Markets (84)
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| Event | Market | Model | Conf | Volume | |
|---|---|---|---|---|---|
| — | — | High | $1,528,354.15 | ||
| — | — | High | $29 | ||
| — | — | High | $1,033,592.5 | ||
| — | — | High | $791,253.09 | ||
| — | — | High | $1,391,246.76 | ||
| — | — | High | $2,223,572.91 | ||
| — | — | High | $1,832,694.21 | ||
| — | — | High | $1 | ||
| — | — | High | $1,636,225.31 | ||
| — | — | High | $0 | ||
| — | — | High | $1,718,138.63 | ||
| — | — | High | $1,090,898.46 | ||
| — | — | High | $843,585.81 | ||
| — | — | High | $1,066,740.27 | ||
| — | — | High | $1,085,462.33 | ||
| — | — | Med | $1,358,962.82 | ||
| — | — | High | $755,264.74 | ||
| — | — | Med | $1,985,351.38 | ||
| — | — | High | $917,087.77 | ||
| — | — | High | $844,272.96 | ||
| — | — | High | $1,210,867.88 | ||
| — | — | High | $805,709.4 | ||
| — | — | High | $931,471.6 | ||
| — | — | High | $963,539.34 | ||
| — | — | High | $1,058,634.02 | ||
| — | — | High | $732,870.51 | ||
| — | — | High | $1,360,312.89 | ||
| — | — | High | $1,121,550.71 | ||
| — | — | High | $2,265,948 | ||
| — | — | High | $1,031,777 | ||
| — | — | High | $791,620 | ||
| — | — | High | $917,057 | ||
| — | — | High | $345,689 | ||
| — | — | High | $34,566 | ||
| — | — | High | $822,964 | ||
| — | — | High | $85,303 | ||
| — | — | High | $10 | ||
| — | — | High | $3,624,566 | ||
| — | — | High | $61,342 | ||
| — | — | High | $60,666 | ||
| — | — | High | $293,019 | ||
| — | — | High | $37,072 | ||
| — | — | High | $135,088 | ||
| — | — | High | $3,192,559 | ||
| — | — | High | $883,800 | ||
| — | — | High | $1,954,078 | ||
| — | — | High | $2,323,365 | ||
| — | — | High | $1,123,864 | ||
| — | — | High | $1,006,443 | ||
| — | — | High | $2,620,888 | ||
| — | — | High | $367,035 | ||
| — | — | High | $674,565 | ||
| — | — | High | $138,331 | ||
| — | — | High | $472,219 | ||
| — | — | High | $1,177,538 | ||
| — | — | High | $563,296 | ||
| — | — | High | $980,580 | ||
| — | — | High | $949,412 | ||
| — | — | High | $646,786 | ||
| — | — | High | $1,141,122 | ||
| — | — | High | $862,990 | ||
| — | — | High | $756,054 | ||
| — | — | High | $1,386,218 | ||
| — | — | High | $816,957 | ||
| — | — | High | $57,528 | ||
| — | — | High | $449 | ||
| — | — | Med | $5,439 | ||
| — | — | High | $91,417 | ||
| — | — | High | $146,489 | ||
| — | — | High | $320,623 | ||
| — | — | High | $78,417 | ||
| — | — | High | $129,247 | ||
| — | — | High | $367,766 | ||
| — | — | Med | $140,062 | ||
| — | — | High | $99,398 | ||
| — | — | High | $317,360 | ||
| — | — | High | $823,643 | ||
| — | — | High | $50,727 | ||
| — | — | High | $401,194 | ||
| — | — | High | $416,123 | ||
| — | — | High | $714,135 | ||
| — | — | High | $891,683 | ||
| — | — | High | $21,119 | ||
| — | — | High | $920,132 |
