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Chwalinska vs Kartal Prediction: Wuhan 2026 Final

Kartal's stronger hard-court service record separates two closely matched Wuhan finalists, though Chwalinska's return game gives her a clear route to winning.

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Maja Chwalinska and Sonay Kartal meet in the Wuhan final, where Kartal's stronger hard-court service record is the clearest separator. Court Shark's model gives Kartal a narrow 51% chance of winning.

A title match with little separation

The Wuhan final on Sunday, October 18 gives Maja Chwalinska and Sonay Kartal a chance to finish the week as champion. Kartal's stronger record of holding serve on hard courts is the clearest practical separator, despite Chwalinska's much higher ranking. The margin is small. Both arrived at the final on five-match winning runs, so neither enters with a clear advantage in immediate results.

Chwalinska was ranked No. 22, while Kartal stood at No. 170, making their meeting a test of how much that ranking gap describes their current level. Their routes through Wuhan suggest a closer contest: Chwalinska beat Iga Swiatek in the semifinal, while Kartal eliminated Jelena Ostapenko. Those results brought both players through the same draw to the title match, but they do not establish which player's strengths transfer better to this opponent.

Service games held: where they stand

Article snapshot, Oct 17, 2026 · Not live

Each dot is one of the WTA top 100 with enough matches in the last 52 weeks. Maja Chwalinska is 42nd of 65; Sonay Kartal ranks ahead of 49 of 65.

Service games held, last 52 weeks, against the WTA top 100
PlayerService games heldPlace
Maja Chwalinska66.5%42nd of 65
Sonay Kartal72.9%Ahead of 49 of 65
Field median69.3%
Field best (Elena Rybakina)83.2%1st
Source: Court Shark model and match data.

Kartal's service record is the clearest edge

Over the last year on hard courts, Kartal held 73% of her service games, compared with Chwalinska's 67%. That is the strongest reason to prefer Kartal in a matchup where recent winning runs offer little separation and the rankings point the other way. Holding matters here. A more dependable service record gives Kartal a plausible route to controlling her own games without needing to outperform Chwalinska on return throughout the match.

Chwalinska supplied the counterweight: she broke serve in 44% of return games, against Kartal's 41% over the same period. Those figures suggest the final's central test is whether Chwalinska can interrupt the service advantage that makes Kartal the narrow pick. They describe past results against different opponents, not a direct test between these finalists. Still, the contrast is specific: Kartal's advantage starts on serve, while Chwalinska's best answer starts on return.

Chwalinska has a stronger deciding-set record

A deciding set would put a different part of their records into focus, and that comparison favors Chwalinska rather than the model's narrow favorite. Chwalinska won 24 of 45 career deciding sets. Kartal won 12 of 29. Those career records do not determine a final, but they give a concrete reason to resist treating Kartal's service advantage as decisive if neither player can close the match early.

Recent form also leaves room for Chwalinska to reverse the forecast: she went 8-2 across her latest hard-court matches, while Kartal went 7-3. Chwalinska's return record gives her a way to turn that form into pressure on Kartal's service games. There is no direct precedent. They had never met, so neither player's broader record establishes how Chwalinska's left-handed game matches up against Kartal's right-handed game.

The prediction

Court Shark's model favors Kartal with a 51% win probability, while the market consensus gives her a slightly stronger 54% chance. Both make her a narrow favorite. The agreement is about direction, not a comfortable margin, and it leaves Chwalinska close enough that her return advantage could change the result.

Court Shark's AI analyst, which reads the matchup without the market, also picks Kartal, agreeing with the model. Her stronger service record supplies the clearest tennis reason for that choice, rather than her ranking or a superior recent winning run. The model's median total is 21 games, which describes the center of its match-length forecast rather than an exact score prediction.

The middle half of outcomes spans 18 to 27 games, and Kartal winning in straight sets is the model's likeliest individual result. Chwalinska's ability to break serve is the specific obstacle to that finish: Kartal's strongest statistical advantage has to survive against the better return record.

How long it could go

Article snapshot, Oct 17, 2026 · Not live

A 52% chance the match lasts 18 to 27 games; 21 is the middle of the range.

Chance of each total number of games in the match
Total gamesChance
120.2%
131.0%
142.4%
154.6%
166.9%
178.6%
188.6%
198.0%
207.0%
215.2%
226.1%
233.9%
242.1%
253.7%
264.0%
273.7%
284.0%
294.1%
303.8%
313.5%
322.9%
331.9%
341.4%
351.3%
360.5%
380.2%
Source: Court Shark model and match data.

Explore this matchup

Compare both players side by side: recent results, surfaces, serve and return.

Player comparison

Article snapshot, Oct 17, 2026 · Not live

Each measure on the same scale: recent wins, wins on this surface, head-to-head wins and the model's chance.

Player comparison
MeasureMaja ChwalinskaSonay Kartal
Wins, last 10 matches80% (8-2)70% (7-3)
Wins, last 10 on hard80% (8-2)70% (7-3)
Model win probability49%51%
Source: Court Shark model and match data.

Recent form

Article snapshot, Oct 17, 2026 · Not live

Each player's most recent completed matches, up to 10, oldest on the left.

Recent results by player, oldest first
PlayerDateResultOpponentScoreEvent
Maja ChwalinskaSep 21, 2026WRebecca Sramkova6-4 6-2Singapore
Maja ChwalinskaSep 23, 2026WOleksandra Oliynykova6-0 6-1Singapore
Maja ChwalinskaSep 25, 2026WElise Mertens6-2 6-2Singapore
Maja ChwalinskaSep 26, 2026LLeylah Fernandez6-1 4-6 2-6Singapore
Maja ChwalinskaOct 2, 2026LDayana Yastremska3-6 1-6Beijing
Maja ChwalinskaOct 13, 2026WMayar Sherif6-3 6-2WTA Wuhan
Maja ChwalinskaOct 14, 2026WMarie Bouzkova1-6 6-1 6-1WTA Wuhan
Maja ChwalinskaOct 15, 2026WIva Jovic6-4 6-1WTA Wuhan
Maja ChwalinskaOct 16, 2026WMaria Sakkari6-0 3-6 7-5WTA Wuhan
Maja ChwalinskaOct 17, 2026WIga Swiatek7-5 6-1WTA Wuhan
Sonay KartalMar 10, 2026LElena Rybakina4-6 3-4 RETIndian Wells
Sonay KartalSep 25, 2026LMarie Bouzkova6-7(2) 6-4 4-6BJK Cup Finals
Sonay KartalOct 1, 2026WAndrea Lazaro Garcia6-2 6-3Beijing
Sonay KartalOct 2, 2026WXin Yu Wang6-3 6-2Beijing
Sonay KartalOct 5, 2026LAlina Charaeva4-6 1-6Beijing
Sonay KartalOct 12, 2026WAnhelina Kalinina7-5 6-3WTA Wuhan
Sonay KartalOct 14, 2026WBelinda Bencic6-0 7-5WTA Wuhan
Sonay KartalOct 15, 2026WJasmine Paolini6-2 6-0WTA Wuhan
Sonay KartalOct 16, 2026WElina Svitolina6-2 2-6 6-4WTA Wuhan
Sonay KartalOct 17, 2026WJelena Ostapenko7-6(9) 7-6(5)WTA Wuhan
Source: Court Shark model and match data.

Win rate by surface

Article snapshot, Oct 17, 2026 · Not live

Share of matches won on each surface across each player's last 50 matches with full statistics.

Win rate by surface
SurfaceMaja ChwalinskaSonay Kartal
Hard63% (17-10)65% (22-12)
Clay59% (13-9)43% (3-4)
GrassToo few matches (1)56% (5-4)
Source: Court Shark model and match data.

Serve and return on hard courts

Article snapshot, Oct 17, 2026 · Not live

How often each player held serve and broke serve on hard over their last 50 matches with full statistics, against the tour's all-years average on the surface.

Hold and break rates on hard
MeasureMaja ChwalinskaSonay KartalTour average, all years
Service games held67%73%63%
Return games broken44%39%37%
Matches in sample2734
Source: Court Shark model and match data.

Model and market on Maja Chwalinska

Article snapshot, Oct 17, 2026 · Not live

Maja Chwalinska's chance as the market consensus priced it from the opening line, next to the Court Shark model.

Maja Chwalinska's chance to win
ReadingMaja ChwalinskaSonay Kartal
Opening consensus45%55%
Latest consensus46%54%
Court Shark model49%51%
Source: Court Shark model and pre-match market consensus.

Model win probability

Article snapshot, Oct 17, 2026 · Not live

The Court Shark model's chance for each player to win this match.

Model win probability by player
PlayerWin probabilityRecent form (last 10)
Maja Chwalinska49%8-2
Sonay Kartal51%7-3
Source: Court Shark model and match data.

Ways to win

Article snapshot, Oct 17, 2026 · Not live

Every way the match can finish. The likeliest single result is Sonay Kartal in straight sets (33%).

Chance of each final set score
ResultChance
Maja Chwalinska wins 2-031%
Maja Chwalinska wins 2-118%
Sonay Kartal wins 2-118%
Sonay Kartal wins 2-033%
Source: Court Shark model and match data.
Explore this matchup

Court Shark win probabilities are statistical estimates, not advice. No outcome is guaranteed.

Methodology and sources

How we build model estimates and where our information comes from.

Model estimates and observed results

The win probabilities come from the Court Shark match model, trained on completed ATP and WTA matches. A probability says how often a player in this position wins, not that one result will happen. The model's number for a match is recorded before play and never changed afterwards, so it can be checked against the result.

Sources and citations

Results, scores, rankings and serve statistics come from the Court Shark match database. The market consensus is the pre-match price for each player converted to a probability. Figures in this article are a snapshot taken when it was written.

Limitations

Serve and return rates count only matches with full serve statistics, which are sparser for Challenger and lower-level events, and the tour average they are compared with covers every year on record. Head-to-head records count every meeting with a recorded winner, walkovers and retirements included. Charts and tables are a snapshot and do not update after publication.

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