2026 Women’s Tennis Betting Winners and Losers: Who Made Money and Who Didn’t?
Winning tennis matches doesn’t always mean winning money.
We wanted to know which women’s tennis players made bettors the most money in 2026 and which ones cost them the most.
Crush & Rush News looked at 18,192 women’s singles matches played between January 1 and November 7, 2026. We used a simple system: Bet $100 on a player every time she played.
We included everything. WTA Tour events, Grand Slams, WTA 125 tournaments, Challengers, ITF events, qualifying and Billie Jean King Cup matches.
Players needed at least 20 matches with available closing odds to qualify. That gave us 703 players.
Here’s what we found.
The 20 Most Profitable Women’s Tennis Players of 2026
| # | Player | Bets | W-L | Avg. odds | Net profit | ROI |
|---|---|---|---|---|---|---|
| 1 | Vaishnavi Adkar | 37 | 23β14 | +221 | +$2,607 | +70.5% |
| 2 | Chengyiyi Yuan | 50 | 34β16 | +222 | +$2,357 | +47.1% |
| 3 | Kimberly Birrell | 57 | 31β26 | +175 | +$2,279 | +40.0% |
| 4 | Emma Slavikova | 20 | 14β6 | +231 | +$2,135 | +106.7% |
| 5 | Alina Charaeva | 56 | 33β23 | +147 | +$2,125 | +38.0% |
| 6 | Natsuho Arakawa | 21 | 8β13 | +433 | +$2,081 | +99.1% |
| 7 | Katarzyna Kawa | 51 | 28β23 | +198 | +$1,874 | +36.7% |
| 8 | Yujin Kim | 28 | 16β12 | +274 | +$1,836 | +65.5% |
| 9 | Alexandra Eala | 68 | 45β23 | +106 | +$1,798 | +26.4% |
| 10 | Nikola Bartunkova | 57 | 36β21 | +127 | +$1,785 | +31.3% |
| 11 | Karolina Pliskova | 30 | 19β11 | +176 | +$1,706 | +56.9% |
| 12 | Carmen Gallardo Guevara | 38 | 27β11 | +199 | +$1,655 | +43.5% |
| 13 | Han Shi | 87 | 62β25 | β107 | +$1,599 | +18.4% |
| 14 | Asylzhan Arystanbekova | 26 | 17β9 | +195 | +$1,577 | +60.7% |
| 15 | Lucie Nguyen Tan | 45 | 27β18 | +175 | +$1,549 | +34.4% |
| 16 | Magda Linette | 47 | 23β24 | +205 | +$1,445 | +30.8% |
| 17 | Ayla Aksu | 55 | 35β20 | +120 | +$1,425 | +25.9% |
| 18 | Laura Mair | 43 | 22β21 | +269 | +$1,391 | +32.4% |
| 19 | Rositsa Dencheva | 51 | 38β13 | β131 | +$1,357 | +26.6% |
| 20 | Antonia Ruzic | 52 | 25β27 | +182 | +$1,332 | +25.6% |
Vaishnavi Adkar tops our list with $2,607 in profits, including $2,333 from two wins in Bengaluru.
Kimberly Birrell earned bettors $1,785 with one French Open upset, while Natsuho Arakawa returned $2,081 despite winning just eight of 21 matches.
It’s not how often you win. It’s the price you get.
The 20 Biggest Women’s Tennis Betting Losers of 2026
| # | Player | Bets | W-L | Avg. odds | Net profit | ROI |
|---|---|---|---|---|---|---|
| 1 | Sapfo Sakellaridi | 57 | 21β36 | +151 | β$2,073 | -36.4% |
| 2 | Sofia Kenin | 32 | 7β25 | +193 | β$1,880 | -58.8% |
| 3 | Demi Tran | 27 | 6β21 | +405 | β$1,820 | -67.4% |
| 4 | Marie Weckerle | 31 | 9β22 | +245 | β$1,785 | -57.6% |
| 5 | Ella Seidel | 39 | 12β27 | +143 | β$1,773 | -45.5% |
| 6 | Anna-Lena Friedsam | 35 | 12β23 | +137 | β$1,686 | -48.2% |
| 7 | Lola Radivojevic | 40 | 17β23 | β115 | β$1,580 | -39.5% |
| 8 | Simona Waltert | 55 | 26β29 | +132 | β$1,568 | -28.5% |
| 9 | Emiliana Arango | 39 | 12β27 | +211 | β$1,561 | -40.0% |
| 10 | Carolyn Ansari | 60 | 33β27 | +104 | β$1,531 | -25.5% |
| 11 | Miriam Bianca Bulgaru | 32 | 10β22 | +186 | β$1,457 | -45.5% |
| 12 | Lia Karatancheva | 44 | 16β28 | +157 | β$1,455 | -33.1% |
| 13 | Carlota Martinez Cirez | 58 | 29β29 | +122 | β$1,414 | -24.4% |
| 14 | Maria Lourdes Carle | 46 | 21β25 | +111 | β$1,414 | -30.7% |
| 15 | Bianca Elena Barbulescu | 24 | 7β17 | +230 | β$1,405 | -58.5% |
| 16 | Caroline Werner | 40 | 14β26 | +151 | β$1,362 | -34.0% |
| 17 | Natalija Senic | 38 | 20β18 | β161 | β$1,359 | -35.8% |
| 18 | Priscilla Hon | 27 | 8β19 | +175 | β$1,345 | -49.8% |
| 19 | Berta Bonardi | 28 | 10β18 | +477 | β$1,332 | -47.6% |
| 20 | Suzan Lamens | 40 | 17β23 | +167 | β$1,317 | -32.9% |
Sapfo Sakellaridi tops the losses list at -$2,073, followed by former Australian Open champion Sofia Kenin at -$1,880.
Kenin also appeared in our 2025 WTA Oven report on bagels and breadsticks.
But here’s something worth looking at. Carolyn Ansari won 33 of her 60 matches and still lost bettors $1,531.
A winning record doesn’t always pay the bills.
How Did the WTA Top 10 Perform for Bettors in 2026?
| # | Player | Bets | W-L | Avg. odds | Net profit | ROI |
|---|---|---|---|---|---|---|
| 1 | Elena Rybakina | 63 | 50β13 | β262 | +$410 | +6.5% |
| 2 | Aryna Sabalenka | 55 | 45β10 | β522 | β$268 | -4.9% |
| 3 | Mirra Andreeva | 61 | 46β15 | β261 | β$226 | -3.7% |
| 4 | Coco Gauff | 56 | 43β13 | β226 | +$365 | +6.5% |
| 5 | Jessica Pegula | 60 | 47β13 | β201 | +$434 | +7.2% |
| 6 | Elina Svitolina | 60 | 42β18 | β172 | +$56 | +0.9% |
| 7 | Karolina Muchova | 51 | 39β12 | β142 | +$981 | +19.2% |
| 8 | Linda Noskova | 53 | 39β14 | β128 | +$792 | +14.9% |
| 9 | Iga Swiatek | 51 | 36β15 | β440 | β$857 | -16.8% |
| 10 | Marta Kostyuk | 46 | 35β11 | β133 | +$816 | +17.7% |
Last year, we published an article looking at how much money the WTA Top 10 made bettors in 2025.
Six players made money. Four lost money.
Using the November 2 WTA rankings, here’s what happened if we bet $100 on every eligible match involving those players.
Seven of the Top 10 made money, with Karolina MuchovΓ‘ leading the group at $981.
But look at what it took to make that money.
The Problem With Betting on Big Favorites
Elena Rybakina won 50 of 63 matches, but bettors risked $6,300 to win just $410.
Aryna Sabalenka won nearly 82% of her matches yet lost bettors $268, while Iga ΕwiΔ tek cost them $857.
That’s the problem with chasing big names. Short odds leave little room for mistakes.
We covered this in The WTA Star Tax: Why Betting Big Favorites Is a Losing Strategy.
These figures include all eligible matches, not just those where the players were favorites.
So, What’s the Takeaway?
It’s pretty simple.
You can win 80% of your bets and still lose money.
You can back a player with a losing record and finish the season with a nice profit.
And you can bet thousands of dollars on one of the best players in the world and barely make enough to buy dinner.
The price matters. It always has.
Being a great tennis player doesn’t automatically make somebody a good bet.
For more research like this, visit our WTA Tennis Betting Statistics hub.
How We Calculated the Numbers
We used match results and closing odds from Valuebetennis for matches played from January 1 through November 7, 2026.
We bet a hypothetical $100 on every eligible match for each player. We used the actual closing odds for each match to calculate profits and losses.
The average odds column shows the average closing price for each player, converted to American odds. We averaged the original decimal prices before converting them, rather than averaging American moneylines directly.
ROI is the percentage of the total money wagered that was won or lost.
We excluded matches without usable odds or a valid winner, as well as records where a completed score contradicted the listed winner. Some included matches had incomplete scores.
The figures are hypothetical, not actual sportsbook payouts. Retirement and settlement rules can also affect results.
These numbers cover the available 2026 matches through November 7, not the full calendar year.
Data: Valuebetennis, Tennis Results and Odds Since 2021, CC BY 4.0. Rankings: WTA Tennis.
18+ | Gambling involves risk. Historical results don’t guarantee future profits. Please bet responsibly.

Phil Naessens has spent decades in sports as a broadcaster, author, journalist, professional tennis coach, and betting analyst. As the founder and editor of Crush & Rush News and host of the Crush & Rush Tennis Podcast, he combines firsthand coaching experience with years of sports media and publishing to deliver thoughtful tennis analysis, tournament coverage, player features, and transparent betting insights built around value, and not hype.