Tennis · W35 Saskatoon · 21/07, 19:00

Prediction: Allison Isaacs vs Thara Gowda

Prediction summary
Winner
37% 63%
Allison Isaacs Thara Gowda
Estimated games
19.3
Recent form · 10 last
Allison Isaacs 6-4 (W-L)
WLWLWLWWLW
Thara Gowda 4-6 (W-L)
LLLWLWWLLW
Our model (Elo) vs Market Rating Elo · Allison Isaacs 1522 · Thara Gowda 1486
Allison IsaacsThara Gowda
Our model55%45%
Market22%78%

The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.

Statistics

Allison IsaacsThara Gowda
Win %60%40%
Win % · Hard 56% (9) 20% (5)
Sets (G-P)1.2-0.81-1.2
Games (G-P)9.9-7.49.4-10
Aces0.11.3
Double faults3.23.6
1st serve %59.2%59.9%
Break %55.3%51.2%
Estimated total games (ours) 19.3

Last 10 matches played

Last matches of each player (sets and games). W = win, L = loss. Common opponents to both are in blue.

Allison Isaacs

LWWLW

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Date Opponent Sets Games Res.
20/07 Zoya Chulak
W35 Saskatoon
2-0 12-5 W
02/07 Irem Kurt
W15 Kayseri · ~Hard
0-2 8-11 L
01/07 Nicole Giannini
W15 Kayseri · ~Hard
2-0 12-3 W
30/06 Zara Kirkan
W15 Kayseri · ~Hard
2-0 12-5 W
24/06 Kateryna Lazarenko
W15 Kayseri · ~Hard
0-2 7-12 L
23/06 Miroslava Medvedeva
W15 Kayseri · ~Hard
2-0 11-7 W
17/06 Julia Adams
W15 Kayseri · ~Hard
0-2 5-12 L
16/06 Yasmin Vavrova
W15 Kayseri · ~Hard
2-0 12-4 W
11/06 Lan Mi
W15 Kayseri · ~Hard
0-2 8-13 L
09/06 Elena Utkina
W15 Kayseri · ~Hard
2-0 12-2 W

Thara Gowda

WWLLW

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Date Opponent Sets Games Res.
19/07 Andrea Taylor
W35 Saskatoon
2-0 12-1 W
14/07 Liv Hovde
W35 Dallas
0-2 6-12 L
09/07 Sakura Hosogi
W50 Columbus
1-2 9-16 L
08/07 Dana Guzman
W50 Columbus
2-0 12-7 W
07/07 Tatum Evans
W50 Columbus
2-0 10-5 W
26/06 Alexandra Vagramov
W15 Claremont · ~Hard
1-2 12-13 L
25/06 Caroline Driscoll
W15 Claremont · ~Hard
2-0 13-9 W
23/06 Brooke Kwon
W15 Claremont · ~Hard
0-2 6-12 L
09/06 Piper Charney
W35 Decatur · ~Hard
0-2 5-12 L
04/06 Tatum Evans
W15 Lakewood · ~Hard
0-2 9-13 L

Frequently asked questions

Who is the favourite in Allison Isaacs vs Thara Gowda?

Our model gives 63% to Thara Gowda, using surface Elo on hard.

What is the prediction based on?

On an Elo model by surface (hard) adjusted for opponent quality, compared with the market odds.