AI Predictions

Predictions based on Elo, Monte Carlo, serve/return statistics, and market analysis.

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81 matches16 with AI

WTA 1000 Cincinnati (Hard)

WTAHard11 matches

Match MODEL 89%

M. Kostyuk[#11]

89%

S. Kenin[#118]

11%

HCPKenin +4.5· 50%

MARKET 87% – 13%

Match MODEL 87%

A. Sabalenka[#1]

87%

T. Gibson[#74]

13%

HCPGibson +4.5· 52%

MARKET 84% – 16%

Round of 128 MODEL 85%

E. Navarro[#28]

15%

J. Pegula[#3]

85%

HCPPegula -4.5· 50%

MARKET 26% – 74%

Match MODEL 80%

C. Gauff[#4]

80%

L. Samsonova[#55]

20%

HCPGauff -4.5· 52%

MARKET 72% – 28%

Round of 128 MODEL 74%

L. Noskova[#7]

74%

C. Tauson[#30]

26%

HCPNoskova +2.5· 51%

MARKET 68% – 32%

Match MODEL 74%

T. Valentova[#67]

26%

E. Svitolina[#9]

74%

HCPSvitolina +2.5· 51%

MARKET 28% – 72%

Match MODEL 68%

M. Bouzkova[#25]

68%

L. Stefanini[#147]

32%

HCPBouzkova -2.5· 51%

MARKET 77% – 23%

Match MODEL 67%

T. Korpatsch[#47]

33%

I. Jovic[#16]

67%

HCPJovic -3.5· 52%

MARKET 12% – 88%

MatchEven match

K. Siniakova[#37]

63%

J. Bouzas M.[#63]

37%

HCPM. +4.5· 54%

MARKET 49% – 51%

Match

S. Stephens

37%

A. Potapova[#27]

63%

HCPPotapova -3.5· 53%

MARKET 36% – 64%

Match

A. Blinkova[#108]

38%

E. Alexandrova[#19]

62%

HCPAlexandrova -3.5· 54%

MARKET 27% – 73%

Masters 1000 Cincinnati (Hard)

ATPHard9 matches

Match MODEL 77%

B. Shelton[#10]

77%

J. Faria[#79]

23%

HCPShelton -2.5· 53%

MARKET 81% – 19%

Match MODEL 76%

B. Nakashima[#31]

76%

A. Kovacevic[#95]

24%

HCPNakashima -2.5· 54%

MARKET 75% – 25%

Match MODEL 74%

L. Tien[#19]

74%

S. Baez[#48]

26%

HCPTien -4.5· 51%

MARKET 73% – 27%

Match MODEL 73%

D. Altmaier[#60]

27%

L. Musetti[#13]

73%

HCPMusetti -4.5· 54%

MARKET 23% – 77%

Round of 128 MODEL 70%

R. Jodar[#15]

70%

A. Tabilo[#26]

30%

HCPJodar -3.5· 51%

MARKET 78% – 22%

Match MODEL 69%

S. Tsitsipas[#53]

31%

F. Auger A.

69%

HCPTsitsipas -1.5· 95%

MARKET 45% – 55%

Round of 128 MODEL 68%

R. Hijikata[#93]

32%

J. Mensik[#17]

68%

HCPMensik -3.5· 51%

MARKET 23% – 77%

Match MODEL 68%

L. Sonego[#88]

32%

F. Tiafoe[#20]

68%

HCPTiafoe +1.5· 51%

MARKET 39% – 61%

Round of 128

A. Fery[#36]

40%

A. de Minaur[#7]

60%

HCPMinaur -2.5· 52%

MARKET 22% – 78%

Challenger Kingston (Hard)

ATPHard3 matches

Match MODEL 68%

B. Willwerth

32%

G. Bueno

68%

HCPWillwerth +4.5· 52%

Match MODEL 65%

D. Martin

35%

L. Midon

65%

HCPMidon -1.5· 52%

Match

K. Miyoshi

61%

A. Huertas Del Pino

39%

HCPPino +4.5· 52%

Challenger Prague (Clay)

ATPClay1 match

Match

J. Filip

36%

N. Hardt

64%

HCPHardt -4.5· 50%

AI Predictions

Predictions based on Elo, Monte Carlo, serve/return statistics, and market analysis.

Sort

81 matches16 with AI

WTA 1000 Cincinnati (Hard)

WTAHard11 matches

Match MODEL 89%

M. Kostyuk[#11]

89%

S. Kenin[#118]

11%

HCPKenin +4.5· 50%

MARKET 87% – 13%

Match MODEL 87%

A. Sabalenka[#1]

87%

T. Gibson[#74]

13%

HCPGibson +4.5· 52%

MARKET 84% – 16%

Round of 128 MODEL 85%

E. Navarro[#28]

15%

J. Pegula[#3]

85%

HCPPegula -4.5· 50%

MARKET 26% – 74%

Match MODEL 80%

C. Gauff[#4]

80%

L. Samsonova[#55]

20%

HCPGauff -4.5· 52%

MARKET 72% – 28%

Round of 128 MODEL 74%

L. Noskova[#7]

74%

C. Tauson[#30]

26%

HCPNoskova +2.5· 51%

MARKET 68% – 32%

Match MODEL 74%

T. Valentova[#67]

26%

E. Svitolina[#9]

74%

HCPSvitolina +2.5· 51%

MARKET 28% – 72%

Match MODEL 68%

M. Bouzkova[#25]

68%

L. Stefanini[#147]

32%

HCPBouzkova -2.5· 51%

MARKET 77% – 23%

Match MODEL 67%

T. Korpatsch[#47]

33%

I. Jovic[#16]

67%

HCPJovic -3.5· 52%

MARKET 12% – 88%

MatchEven match

K. Siniakova[#37]

63%

J. Bouzas M.[#63]

37%

HCPM. +4.5· 54%

MARKET 49% – 51%

Match

S. Stephens

37%

A. Potapova[#27]

63%

HCPPotapova -3.5· 53%

MARKET 36% – 64%

Match

A. Blinkova[#108]

38%

E. Alexandrova[#19]

62%

HCPAlexandrova -3.5· 54%

MARKET 27% – 73%

Masters 1000 Cincinnati (Hard)

ATPHard9 matches

Match MODEL 77%

B. Shelton[#10]

77%

J. Faria[#79]

23%

HCPShelton -2.5· 53%

MARKET 81% – 19%

Match MODEL 76%

B. Nakashima[#31]

76%

A. Kovacevic[#95]

24%

HCPNakashima -2.5· 54%

MARKET 75% – 25%

Match MODEL 74%

L. Tien[#19]

74%

S. Baez[#48]

26%

HCPTien -4.5· 51%

MARKET 73% – 27%

Match MODEL 73%

D. Altmaier[#60]

27%

L. Musetti[#13]

73%

HCPMusetti -4.5· 54%

MARKET 23% – 77%

Round of 128 MODEL 70%

R. Jodar[#15]

70%

A. Tabilo[#26]

30%

HCPJodar -3.5· 51%

MARKET 78% – 22%

Match MODEL 69%

S. Tsitsipas[#53]

31%

F. Auger A.

69%

HCPTsitsipas -1.5· 95%

MARKET 45% – 55%

Round of 128 MODEL 68%

R. Hijikata[#93]

32%

J. Mensik[#17]

68%

HCPMensik -3.5· 51%

MARKET 23% – 77%

Match MODEL 68%

L. Sonego[#88]

32%

F. Tiafoe[#20]

68%

HCPTiafoe +1.5· 51%

MARKET 39% – 61%

Round of 128

A. Fery[#36]

40%

A. de Minaur[#7]

60%

HCPMinaur -2.5· 52%

MARKET 22% – 78%

Challenger Kingston (Hard)

ATPHard3 matches

Match MODEL 68%

B. Willwerth

32%

G. Bueno

68%

HCPWillwerth +4.5· 52%

Match MODEL 65%

D. Martin

35%

L. Midon

65%

HCPMidon -1.5· 52%

Match

K. Miyoshi

61%

A. Huertas Del Pino

39%

HCPPino +4.5· 52%

Challenger Prague (Clay)

ATPClay1 match

Match

J. Filip

36%

N. Hardt

64%

HCPHardt -4.5· 50%