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# Li vs Alexandrova Prediction: Tokyo 2026 Round of 32
- URL: https://courtshark.ai/blog/li-vs-alexandrova-tokyo-2026-prediction/
- Published: 2026-10-26T16:22:22.000Z
- Updated: 2026-10-26T16:22:22.000Z
- Description: Alexandrova's head-to-head advantage supports a narrow Tokyo pick, but Li's recent form and hard-court serving keep the matchup close.
- Author: Court Shark Desk
- Tags: match-preview, Ann Li, Ekaterina Alexandrova, Tokyo 2026, Hard, WTA, Head-to-head

In this analysis

1. [Key takeaway](#key-takeaway)
2. [Bad Homburg gives Alexandrova an edge, not control](#s-bad-homburg-gives-alexandrova-an-edge-not-control)
3. [Wuhan is relevant, but Li has already found a way through](#s-wuhan-is-relevant-but-li-has-already-found-a-way-through)
4. [Li's serve and heavier schedule pull in opposite directions](#s-li-s-serve-and-heavier-schedule-pull-in-opposite-directions)
5. [The prediction](#s-the-prediction)
6. [Explore this matchup](#explore)
7. [Methodology and sources](#methodology)

Key takeaway

Li's 1-3 record against Alexandrova is a reason for a slight lean, not a strong favorite. Only one meeting came on hard courts, while Li's recent form and service record make the rematch competitive.

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](https://courtshark.ai/players/ekaterina-alexandrova-10206420) beat [Ann Li](https://courtshark.ai/players/ann-li-10215983) 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__
| Surface      | Ann Li | Ekaterina Alexandrova |
| ------------ | ------ | --------------------- |
| All surfaces | 1      | 3                     |
| Hard         | 0      | 1                     |
| Clay         | 1      | 1                     |
| Grass        | 0      | 1                     |

Source: Court Shark model and match data.View data table

## 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 games | Chance |
| ----------- | ------ |
| 13          | 0.7%   |
| 14          | 1.9%   |
| 15          | 4.0%   |
| 16          | 6.2%   |
| 17          | 8.4%   |
| 18          | 8.6%   |
| 19          | 8.3%   |
| 20          | 7.4%   |
| 21          | 5.4%   |
| 22          | 6.5%   |
| 23          | 4.2%   |
| 24          | 1.9%   |
| 25          | 3.6%   |
| 26          | 4.0%   |
| 27          | 3.6%   |
| 28          | 3.9%   |
| 29          | 4.1%   |
| 30          | 3.9%   |
| 31          | 3.7%   |
| 32          | 3.2%   |
| 33          | 2.1%   |
| 34          | 1.5%   |
| 35          | 1.5%   |
| 36          | 0.7%   |
| 38          | 0.3%   |

Source: Court Shark model and match data.View data table

## 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__
| Measure               | Ann Li    | Ekaterina Alexandrova |
| --------------------- | --------- | --------------------- |
| Wins, last 10 matches | 70% (7-3) | 60% (6-4)             |
| Wins, last 10 on hard | 70% (7-3) | 60% (6-4)             |
| Head-to-head wins     | 25% (1-3) | 75% (3-1)             |
| Model win probability | 49%       | 51%                   |

Source: Court Shark model and match data.View data table

### 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__
| Player                | Date         | Result | Opponent              | Score          | Event      |
| --------------------- | ------------ | ------ | --------------------- | -------------- | ---------- |
| Ann Li                | Oct 5, 2026  | W      | Belinda Bencic        | 6-4 6-3        | Beijing    |
| Ann Li                | Oct 7, 2026  | L      | Elina Svitolina       | 2-6 3-6        | Beijing    |
| Ann Li                | Oct 13, 2026 | W      | Camila Osorio         | 6-1 3-0 RET    | Wuhan      |
| Ann Li                | Oct 14, 2026 | W      | Aryna Sabalenka       | 3-6 6-4 7-6(5) | Wuhan      |
| Ann Li                | Oct 15, 2026 | W      | Janice Tjen           | 6-1 7-6(1)     | Wuhan      |
| Ann Li                | Oct 16, 2026 | L      | Iga Swiatek           | 4-6 1-6        | Wuhan      |
| Ann Li                | Oct 20, 2026 | W      | Emerson Jones         | 5-7 6-0 6-3    | WTA Osaka  |
| Ann Li                | Oct 22, 2026 | W      | Zeynep Sonmez         | 6-3 6-1        | WTA Osaka  |
| Ann Li                | Oct 23, 2026 | W      | Lilli Tagger          | 6-4 3-6 7-6(0) | WTA Osaka  |
| Ann Li                | Oct 24, 2026 | L      | Ashlyn Krueger        | 4-6 7-6(4) 3-6 | WTA Osaka  |
| Ekaterina Alexandrova | Sep 2, 2026  | W      | Kimberly Birrell      | 6-1 2-6 6-3    | US Open    |
| Ekaterina Alexandrova | Sep 4, 2026  | L      | Marta Kostyuk         | 3-6 2-6        | US Open    |
| Ekaterina Alexandrova | Oct 2, 2026  | W      | Aliaksandra Sasnovich | 6-1 6-4        | Beijing    |
| Ekaterina Alexandrova | Oct 4, 2026  | W      | Diana Shnaider        | 3-6 6-4 6-3    | Beijing    |
| Ekaterina Alexandrova | Oct 6, 2026  | W      | Linda Noskova         | 6-2 6-2        | Beijing    |
| Ekaterina Alexandrova | Oct 8, 2026  | L      | Mirra Andreeva        | 6-7(4) 6-7(3)  | Beijing    |
| Ekaterina Alexandrova | Oct 12, 2026 | L      | Leylah Fernandez      | 4-6 6-3 3-6    | Wuhan      |
| Ekaterina Alexandrova | Oct 20, 2026 | W      | Hanyu Guo             | 6-2 6-3        | WTA Ningbo |
| Ekaterina Alexandrova | Oct 21, 2026 | W      | Marta Kostyuk         | 6-4 0-0 RET    | WTA Ningbo |
| Ekaterina Alexandrova | Oct 23, 2026 | L      | Leylah Fernandez      | 6-4 2-6 1-6    | WTA Ningbo |

Source: Court Shark model and match data.View data table

### 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__
| Surface | Ann Li      | Ekaterina Alexandrova |
| ------- | ----------- | --------------------- |
| Hard    | 56% (18-14) | 47% (17-19)           |
| Clay    | 62% (8-5)   | 20% (1-4)             |
| Grass   | 40% (2-3)   | 56% (5-4)             |

Source: Court Shark model and match data.View data table

### 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__
| Measure             | Ann Li | Ekaterina Alexandrova | Tour average, all years |
| ------------------- | ------ | --------------------- | ----------------------- |
| Service games held  | 75%    | 70%                   | 63%                     |
| Return games broken | 29%    | 31%                   | 37%                     |
| Matches in sample   | 32     | 36                    |                         |

Source: Court Shark model and match data.View data table

### 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__
| Reading           | Ann Li | Ekaterina Alexandrova |
| ----------------- | ------ | --------------------- |
| Opening consensus | 48%    | 52%                   |
| Latest consensus  | 48%    | 52%                   |
| Court Shark model | 49%    | 51%                   |

Source: Court Shark model and pre-match market consensus.View data table

### 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__
| Player                | Win probability | Recent form (last 10) |
| --------------------- | --------------- | --------------------- |
| Ann Li                | 49%             | 7-3                   |
| Ekaterina Alexandrova | 51%             | 6-4                   |

Source: Court Shark model and match data.View data table

### 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__
| Result                         | Chance |
| ------------------------------ | ------ |
| Ann Li wins 2-0                | 31%    |
| Ann Li wins 2-1                | 18%    |
| Ekaterina Alexandrova wins 2-1 | 18%    |
| Ekaterina Alexandrova wins 2-0 | 33%    |

Source: Court Shark model and match data.View data table

### 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__
| Player                      | Service games held | Place      |
| --------------------------- | ------------------ | ---------- |
| Ann Li                      | 71.9%              | 22nd of 64 |
| Ekaterina Alexandrova       | 70.1%              | 28th of 64 |
| Field median                | 69.8%              |            |
| Field best (Elena Rybakina) | 82.7%              | 1st        |

Source: Court Shark model and match data.View data table

### 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__
| Player                | Start of window    | Two-year peak       | Latest              |
| --------------------- | ------------------ | ------------------- | ------------------- |
| Ann Li                | 1653 (Jan 1, 2025) | 1818 (Oct 16, 2026) | 1818 (Oct 16, 2026) |
| Ekaterina Alexandrova | 1840 (Jan 1, 2025) | 1900 (Jul 7, 2025)  | 1815 (Oct 12, 2026) |

Source: Court Shark model and match data.View data table

[Explore this matchup](https://courtshark.ai/h2h?p1=10206420&p2=10215983)

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

Our forecast

Court Shark's model

Ekaterina Alexandrova 51% to win

Match shape

Ekaterina Alexandrova in straight sets: 33%

Deciding set: 36%

Total games: median 21, middle half 18 to 28

AI analyst

Picks Ekaterina Alexandrova (agrees with the model)

Its case: Alexandrova has the stronger hard-court baseline, winning 58% in the rolling sample versus Li's 54%, with a 70.3% first-serve-points-won rate, 7.4% ace rate and 72.6% hold rate; she also beat Li 7-6(5) 6-2 on hard in Wuhan in 2025.

The risk it names: The main risk is Li's sharper recent hard-court run at 7-3 and her much stronger returning indicators, but Li has logged 491 minutes across 4 matches in the last 7 days compared with Alexandrova's 239 minutes across 3.

Estimates recorded before play, not certainties.

Keep exploring

[Open the full head-to-head](https://courtshark.ai/h2h?p1=10206420&p2=10215983)[Create a free account to keep it](https://courtshark.ai/register?redirect=%2Fh2h%3Fp1%3D10206420%26p2%3D10215983)

Match context

Players

Ann Li  
vs Ekaterina Alexandrova

Event

Tokyo

Surface

Hard

Round

Round of 32

Date

Tuesday, October 27

Article snapshot · Not live

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Related on Court Shark

- [How our match model works](https://courtshark.ai/blog/methodology/)
- [Our editorial standards](https://courtshark.ai/blog/editorial-standards/)
- [About the desk](https://courtshark.ai/blog/about-the-desk/)

## 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.

About the desk

Who works on the Tennis Desk and how an article is put together. [Read about the desk](https://courtshark.ai/blog/about-the-desk/)

Editorial standards

What we publish, what we check and how we decide what is fit to print. [Read our standards](https://courtshark.ai/blog/editorial-standards/)

Corrections

Spotted an error? Write to hello@courtshark.ai and we will correct it and note the change. [Read the corrections policy](https://courtshark.ai/blog/editorial-standards/)