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Court Shark Tennis Desk

Li vs Alexandrova Prediction: Tokyo 2026 Round of 32

Alexandrova's head-to-head advantage supports a narrow Tokyo pick, but Li's recent form and hard-court serving keep the matchup close.

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Ann Li meets Ekaterina Alexandrova in Tokyo's round of 32 with a losing record against her, but that history warrants only a slight lean. Court Shark's model gives Alexandrova a 51% chance.

Bad Homburg gives Alexandrova an edge, not control

On June 23, Ekaterina Alexandrova beat Ann Li at Bad Homburg, 6-1 6-7(5) 6-1. That latest meeting supports another lean toward Alexandrova, although its grass surface makes it an imperfect guide to Tokyo's hard courts. Li took a set. The result established a recent advantage for Alexandrova without settling how comfortably she should be favored on a different surface.

Their round of 32 meeting now gives Li a chance to challenge her 1-3 record against Alexandrova and advance in Tokyo. For Alexandrova, it is an opportunity to extend an advantage built across several surfaces. The distinction matters: their history favors her, but most of it came away from the surface they play on here. My reading is that the record should break a close call, rather than turn this into a strong prediction.

Head-to-head by surface

Article snapshot, Oct 26, 2026 · Not live

Ann Li and Ekaterina Alexandrova have met 4 times. Ekaterina Alexandrova leads 3-1.

Head-to-head record, Ann Li first
SurfaceAnn LiEkaterina Alexandrova
All surfaces13
Hard01
Clay11
Grass01
Source: Court Shark model and match data.

Wuhan is relevant, but Li has already found a way through

Their only previous hard-court meeting came at Wuhan in 2025, when Alexandrova won 7-6(5) 6-2. That is the most directly relevant result for Tokyo because it removes the surface difference attached to their latest encounter. It remains one match. It shows that Alexandrova has beaten Li on hard courts, not that she has repeatedly established the same advantage on this surface.

Li's win at Strasbourg this year also deserves weight: she recovered from losing the opening set to win 4-6 6-4 6-3. That clay result does not transfer directly to Tokyo either, but it rules out the idea that this has been an entirely one-sided matchup.

Recent results further complicate the historical lean, with Li posting a 7-3 record across her latest matches and Alexandrova going 6-4. Their recent hard-court records matched those overall returns. Li therefore arrives with a modest form advantage, rather than needing the forecast to rest entirely on her Strasbourg win.

Li's serve and heavier schedule pull in opposite directions

Li's recent hard-court serving offers a concrete route to reversing the earlier result: she held 74% of her service games, compared with Alexandrova's 71%. Those figures cover the past year's surface matches rather than their meetings with each other, so they cannot establish how either return game responds to this particular opponent. Still, they suggest Li need not concede the serving advantage simply because she trails in the series. That matters here.

The schedule points the other way. Li played eight matches over the past fortnight, while Alexandrova played four, giving the latter a lighter recent workload before Tokyo. That difference could matter if Li struggles to sustain the serving standard behind her recent results, though match counts alone do not establish fatigue. The competing possibilities are specific: Li can make the history less relevant by protecting serve, while Alexandrova could benefit if the heavier schedule begins to affect her opponent.

The prediction

Court Shark's model favors Alexandrova with a 51% win probability, while the market consensus gives her 52%. Both make her only a narrow favorite. That is an appropriate scale for a matchup whose historical advantage is clearer than its current separation.

Court Shark's AI analyst, which reads the matchup without the market, also picks Alexandrova and agrees with the model. The case for that pick rests on her latest victory over Li and her win in their only hard-court meeting, rather than an overwhelming current-form advantage. Court Shark's match-length forecast has a median of 21 total games, consistent with a competitive match rather than a prediction of an exact total.

The middle half of projected outcomes runs from 18 to 28 games. Alexandrova is the pick, but Li's ability to protect her service games is the clearest test of whether their previous hard-court result repeats.

How long it could go

Article snapshot, Oct 26, 2026 · Not live

A 57% chance the match lasts 18 to 28 games; 21 is the middle of the range.

Chance of each total number of games in the match
Total gamesChance
130.7%
141.9%
154.0%
166.2%
178.4%
188.6%
198.3%
207.4%
215.4%
226.5%
234.2%
241.9%
253.6%
264.0%
273.6%
283.9%
294.1%
303.9%
313.7%
323.2%
332.1%
341.5%
351.5%
360.7%
380.3%
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 26, 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
MeasureAnn LiEkaterina Alexandrova
Wins, last 10 matches70% (7-3)60% (6-4)
Wins, last 10 on hard70% (7-3)60% (6-4)
Head-to-head wins25% (1-3)75% (3-1)
Model win probability49%51%
Source: Court Shark model and match data.

Recent form

Article snapshot, Oct 26, 2026 · Not live

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

Recent results by player, oldest first
PlayerDateResultOpponentScoreEvent
Ann LiOct 5, 2026WBelinda Bencic6-4 6-3Beijing
Ann LiOct 7, 2026LElina Svitolina2-6 3-6Beijing
Ann LiOct 13, 2026WCamila Osorio6-1 3-0 RETWuhan
Ann LiOct 14, 2026WAryna Sabalenka3-6 6-4 7-6(5)Wuhan
Ann LiOct 15, 2026WJanice Tjen6-1 7-6(1)Wuhan
Ann LiOct 16, 2026LIga Swiatek4-6 1-6Wuhan
Ann LiOct 20, 2026WEmerson Jones5-7 6-0 6-3WTA Osaka
Ann LiOct 22, 2026WZeynep Sonmez6-3 6-1WTA Osaka
Ann LiOct 23, 2026WLilli Tagger6-4 3-6 7-6(0)WTA Osaka
Ann LiOct 24, 2026LAshlyn Krueger4-6 7-6(4) 3-6WTA Osaka
Ekaterina AlexandrovaSep 2, 2026WKimberly Birrell6-1 2-6 6-3US Open
Ekaterina AlexandrovaSep 4, 2026LMarta Kostyuk3-6 2-6US Open
Ekaterina AlexandrovaOct 2, 2026WAliaksandra Sasnovich6-1 6-4Beijing
Ekaterina AlexandrovaOct 4, 2026WDiana Shnaider3-6 6-4 6-3Beijing
Ekaterina AlexandrovaOct 6, 2026WLinda Noskova6-2 6-2Beijing
Ekaterina AlexandrovaOct 8, 2026LMirra Andreeva6-7(4) 6-7(3)Beijing
Ekaterina AlexandrovaOct 12, 2026LLeylah Fernandez4-6 6-3 3-6Wuhan
Ekaterina AlexandrovaOct 20, 2026WHanyu Guo6-2 6-3WTA Ningbo
Ekaterina AlexandrovaOct 21, 2026WMarta Kostyuk6-4 0-0 RETWTA Ningbo
Ekaterina AlexandrovaOct 23, 2026LLeylah Fernandez6-4 2-6 1-6WTA Ningbo
Source: Court Shark model and match data.

Win rate by surface

Article snapshot, Oct 26, 2026 · Not live

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

Win rate by surface
SurfaceAnn LiEkaterina Alexandrova
Hard56% (18-14)47% (17-19)
Clay62% (8-5)20% (1-4)
Grass40% (2-3)56% (5-4)
Source: Court Shark model and match data.

Serve and return on hard courts

Article snapshot, Oct 26, 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
MeasureAnn LiEkaterina AlexandrovaTour average, all years
Service games held75%70%63%
Return games broken29%31%37%
Matches in sample3236
Source: Court Shark model and match data.

Model and market on Ann Li

Article snapshot, Oct 26, 2026 · Not live

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

Ann Li's chance to win
ReadingAnn LiEkaterina Alexandrova
Opening consensus48%52%
Latest consensus48%52%
Court Shark model49%51%
Source: Court Shark model and pre-match market consensus.

Model win probability

Article snapshot, Oct 26, 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)
Ann Li49%7-3
Ekaterina Alexandrova51%6-4
Source: Court Shark model and match data.

Ways to win

Article snapshot, Oct 26, 2026 · Not live

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

Chance of each final set score
ResultChance
Ann Li wins 2-031%
Ann Li wins 2-118%
Ekaterina Alexandrova wins 2-118%
Ekaterina Alexandrova wins 2-033%
Source: Court Shark model and match data.

Service games held: where they stand

Article snapshot, Oct 26, 2026 · Not live

Each dot is one of the WTA top 100 with enough matches in the last 52 weeks. Ann Li is 22nd of 64; Ekaterina Alexandrova is 28th of 64.

Service games held, last 52 weeks, against the WTA top 100
PlayerService games heldPlace
Ann Li71.9%22nd of 64
Ekaterina Alexandrova70.1%28th of 64
Field median69.8%
Field best (Elena Rybakina)82.7%1st
Source: Court Shark model and match data.

Two years of form

Article snapshot, Oct 26, 2026 · Not live

Each player's pre-match Elo rating since Jan 1, 2025. Latest: Ann Li 1818 (Oct 16, 2026), Ekaterina Alexandrova 1815 (Oct 12, 2026).

Pre-match Elo rating over the last two years
PlayerStart of windowTwo-year peakLatest
Ann Li1653 (Jan 1, 2025)1818 (Oct 16, 2026)1818 (Oct 16, 2026)
Ekaterina Alexandrova1840 (Jan 1, 2025)1900 (Jul 7, 2025)1815 (Oct 12, 2026)
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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