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# Bejlek vs Wang Prediction: Ningbo 2026
- URL: https://courtshark.ai/blog/bejlek-vs-wang-ningbo-2026-prediction/
- Published: 2026-10-18T17:09:36.000Z
- Updated: 2026-10-18T17:09:36.000Z
- Description: Wang leads the hard-court hold and break comparison, but Bejlek's previous win and stronger deciding-set record keep the Ningbo prediction close.
- Author: Court Shark Desk
- Tags: match-preview, Sara Bejlek, Xiyu Wang, Ningbo 2026, Hard, WTA

In this analysis

1. [Key takeaway](#key-takeaway)
2. [Wang's clearest advantage is on serve](#s-wang-s-clearest-advantage-is-on-serve)
3. [Bejlek won their only previous meeting](#s-bejlek-won-their-only-previous-meeting)
4. [A deciding set could favor Bejlek](#s-a-deciding-set-could-favor-bejlek)
5. [The prediction](#s-the-prediction)
6. [Explore this matchup](#explore)
7. [Methodology and sources](#methodology)

Key takeaway

Wang's stronger hard-court holding and breaking records justify a narrow preference, not a decisive one. Bejlek has already won this matchup and has the stronger career record in deciding sets.

Xiyu Wang's stronger hard-court serve and return records make her the narrow pick against Sara Bejlek at Ningbo. Court Shark's model gives Wang a 54% chance, but Bejlek has already beaten her on this surface.

## Wang's clearest advantage is on serve

A 74% hard-court hold rate in the past year's record gives [Xiyu Wang](https://courtshark.ai/players/xiyu-wang-10216016) an advantage over [Sara Bejlek](https://courtshark.ai/players/sara-bejlek-10239383), who held 66%. That makes Wang the more reliable server entering this meeting and provides the clearest reason to favor her, despite Bejlek's success in their previous encounter. The return gap was smaller.

Their Ningbo meeting gives Wang another opportunity against an opponent she lost to in Toronto, while Bejlek enters on a two-match losing run. Wang also lost her latest match. Neither arrives on a winning run, so the surface records offer a more useful starting point than their latest result alone.

Wang also broke in 45% of her return games, against Bejlek's 42%, over the same yearlong window on hard courts. Leading in both measures supports Wang's case, because she was better at protecting her own service games while also taking more from opponents. These were records against different opponents, rather than a direct test of this matchup.

### Return games won: where they stand

Article snapshot, Oct 18, 2026 · Not live

Each dot is one of the WTA top 100 with enough matches in the last 52 weeks. Sara Bejlek is 11th of 65; Xiyu Wang ranks ahead of 15 of 65.

__Return games won, last 52 weeks, against the WTA top 100__
| Player                   | Return games won | Place             |
| ------------------------ | ---------------- | ----------------- |
| Sara Bejlek              | 38.7%            | 11th of 65        |
| Xiyu Wang                | 32.3%            | Ahead of 15 of 65 |
| Field median             | 35.0%            |                   |
| Field best (Iga Swiatek) | 44.5%            | 1st               |

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

## Bejlek won their only previous meeting

Bejlek won their only meeting, on hard courts in Toronto in August, and needed a deciding set to do it. That result matters because it shows Wang's surface advantages have not prevented Bejlek from winning this particular matchup. One meeting settles little, however. It establishes a counterexample, not a durable pattern.

The ranking order also ran the other way: Bejlek stood at No. 30, while Wang was No. 91\. Those positions give another reason not to turn a favorable serve comparison into a claim that Wang is clearly the better player in every relevant respect.

Recent hard-court results offered Wang modest support, with a 6-4 record compared with Bejlek's 5-5\. The distinction was small enough that it reinforces the narrow pick rather than changing its character. Wang had the better recent record, but Bejlek's direct victory remains the more specific evidence against treating this as a comfortable assignment.

### Head-to-head by surface

Article snapshot, Oct 18, 2026 · Not live

Sara Bejlek and Xiyu Wang have met once. Sara Bejlek leads 1-0.

__Head-to-head record, Sara Bejlek first__
| Surface      | Sara Bejlek | Xiyu Wang |
| ------------ | ----------- | --------- |
| All surfaces | 1           | 0         |
| Hard         | 1           | 0         |

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

## A deciding set could favor Bejlek

Bejlek's career deciding-set record was 20 wins from 30 matches. That is a concrete route to overturning the forecast if she can keep Wang from converting her service advantage into an early lead. She has finished close matches well. The career comparison matters most if Bejlek can extend this match, rather than allowing Wang to finish it without facing a final set.

Wang's career record in deciding sets was 35 wins from 73 matches. The contrast suggests Bejlek may have a better opening if the match reaches a final set, rather than if she must consistently outserve Wang throughout. For that scenario to develop, Bejlek needs her return to keep producing chances while preventing her weaker hold record from leaving her repeatedly behind. Wang's task is more direct: protect serve often enough that Bejlek's ability to win deciding sets never becomes the central issue.

## The prediction

Court Shark's model narrowly favors Wang with a 54% win probability; the market gives her 50%. The model therefore makes a small distinction where the market has the players level. This is a narrow call. Wang's advantage in both service and return games is enough to support the pick, but not enough to dismiss Bejlek's previous win.

Court Shark's AI analyst, which reads the matchup without the market, also picks Wang and agrees with the model. Her stronger hard-court serve and return records provide a tennis-based case for that choice, rather than a reason to expect an easy match. The scoreline forecast has a median total of 21 games, which is a midpoint rather than a prediction of an exact total.

The middle half of forecast outcomes runs from 17 to 27 games, with a Wang straight-sets win the likeliest single result. That leaves room for a longer contest of the kind Bejlek won in Toronto. Bejlek's most useful target is Wang's service games: disrupting the stronger serve is the clearest way to prevent the surface comparison from deciding the match.

### How long it could go

Article snapshot, Oct 18, 2026 · Not live

A 60% chance the match lasts 17 to 27 games; 21 is the middle of the range.

__Chance of each total number of games in the match__
| Total games | Chance |
| ----------- | ------ |
| 12          | 0.3%   |
| 13          | 1.2%   |
| 14          | 2.9%   |
| 15          | 5.2%   |
| 16          | 7.5%   |
| 17          | 8.7%   |
| 18          | 8.6%   |
| 19          | 7.9%   |
| 20          | 6.7%   |
| 21          | 5.1%   |
| 22          | 5.8%   |
| 23          | 3.6%   |
| 24          | 2.3%   |
| 25          | 3.8%   |
| 26          | 3.9%   |
| 27          | 3.8%   |
| 28          | 4.0%   |
| 29          | 4.0%   |
| 30          | 3.7%   |
| 31          | 3.3%   |
| 32          | 2.7%   |
| 33          | 1.7%   |
| 34          | 1.3%   |
| 35          | 1.1%   |
| 36          | 0.4%   |

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 18, 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               | Sara Bejlek | Xiyu Wang |
| --------------------- | ----------- | --------- |
| Wins, last 10 matches | 50% (5-5)   | 60% (6-4) |
| Wins, last 10 on hard | 50% (5-5)   | 60% (6-4) |
| Head-to-head wins     | 100% (1-0)  | 0% (0-1)  |
| Model win probability | 46%         | 54%       |

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

### Recent form

Article snapshot, Oct 18, 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                |
| ----------- | ------------ | ------ | ---------------------- | ----------------- | -------------------- |
| Sara Bejlek | Aug 18, 2026 | W      | Ekaterina Alexandrova  | 4-6 6-1 6-2       | Cincinnati           |
| Sara Bejlek | Aug 20, 2026 | W      | Aryna Sabalenka        | 7-6(7) 6-4        | Cincinnati           |
| Sara Bejlek | Aug 21, 2026 | W      | Madison Keys           | 3-6 6-4 7-6(5)    | Cincinnati           |
| Sara Bejlek | Aug 22, 2026 | L      | Cori Gauff             | 4-6 1-6           | Cincinnati           |
| Sara Bejlek | Aug 31, 2026 | L      | Cristina Bucsa         | 5-7 6-4 1-6       | US Open              |
| Sara Bejlek | Sep 15, 2026 | W      | Alycia Parks           | 6-4 6-3           | Guadalajara          |
| Sara Bejlek | Sep 17, 2026 | L      | Cristina Bucsa         | 0-6 4-6           | Guadalajara          |
| Sara Bejlek | Oct 2, 2026  | W      | Maddison Inglis        | 6-3 7-5           | Beijing              |
| Sara Bejlek | Oct 4, 2026  | L      | Naomi Osaka            | 6-7(4) 4-6        | Beijing              |
| Sara Bejlek | Oct 12, 2026 | L      | Jasmine Paolini        | 3-6 4-6           | WTA Wuhan            |
| Xiyu Wang   | Aug 14, 2026 | W      | Maria Timofeeva        | 6-0 3-0 RET       | Cincinnati           |
| Xiyu Wang   | Aug 16, 2026 | W      | Leylah Fernandez       | 3-6 6-2 6-2       | Cincinnati           |
| Xiyu Wang   | Aug 17, 2026 | W      | Elina Svitolina        |                   | Cincinnati           |
| Xiyu Wang   | Aug 19, 2026 | L      | Madison Keys           | 6-7(3) 4-6        | Cincinnati           |
| Xiyu Wang   | Aug 23, 2026 | W      | Ena Koike              | 6-2 6-2           | Philadelphia 125     |
| Xiyu Wang   | Aug 25, 2026 | W      | Jessica Bouzas Maneiro | 4-6 6-4 6-2       | Philadelphia 125     |
| Xiyu Wang   | Aug 27, 2026 | L      | Oksana Selekhmeteva    |                   | WTA Philadelphia 125 |
| Xiyu Wang   | Aug 31, 2026 | L      | Iga Swiatek            | 2-6 3-6           | US Open              |
| Xiyu Wang   | Oct 13, 2026 | W      | Xin Yu Wang            | 6-2 6-0           | WTA Wuhan            |
| Xiyu Wang   | Oct 13, 2026 | L      | Mia Pohankova          | 6-7(2) 7-6(7) 1-6 | WTA Wuhan            |

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

### Win rate by surface

Article snapshot, Oct 18, 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 | Sara Bejlek         | Xiyu Wang   |
| ------- | ------------------- | ----------- |
| Hard    | 66% (21-11)         | 67% (24-12) |
| Clay    | 64% (9-5)           | 79% (11-3)  |
| Grass   | Too few matches (4) | No matches  |

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

### Serve and return on hard courts

Article snapshot, Oct 18, 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             | Sara Bejlek | Xiyu Wang | Tour average, all years |
| ------------------- | ----------- | --------- | ----------------------- |
| Service games held  | 66%         | 72%       | 63%                     |
| Return games broken | 42%         | 42%       | 37%                     |
| Matches in sample   | 32          | 36        |                         |

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

### Model and market on Sara Bejlek

Article snapshot, Oct 18, 2026 · Not live

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

__Sara Bejlek's chance to win__
| Reading           | Sara Bejlek | Xiyu Wang |
| ----------------- | ----------- | --------- |
| Opening consensus | 53%         | 47%       |
| Latest consensus  | 50%         | 50%       |
| Court Shark model | 46%         | 54%       |

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

### Model win probability

Article snapshot, Oct 18, 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) |
| ----------- | --------------- | --------------------- |
| Sara Bejlek | 46%             | 5-5                   |
| Xiyu Wang   | 54%             | 6-4                   |

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

### Ways to win

Article snapshot, Oct 18, 2026 · Not live

Every way the match can finish. The likeliest single result is Xiyu Wang in straight sets (36%).

__Chance of each final set score__
| Result               | Chance |
| -------------------- | ------ |
| Sara Bejlek wins 2-0 | 29%    |
| Sara Bejlek wins 2-1 | 17%    |
| Xiyu Wang wins 2-1   | 18%    |
| Xiyu Wang wins 2-0   | 36%    |

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

[Explore this matchup](https://courtshark.ai/h2h?p1=10216016&p2=10239383)

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

Our forecast

Court Shark's model

Xiyu Wang 54% to win

Match shape

Xiyu Wang in straight sets: 36%

Deciding set: 35%

Total games: median 21, middle half 17 to 27

AI analyst

Picks Xiyu Wang (agrees with the model)

Its case: Wang gets the narrow nod on hard courts: she is 6-4 in her most recent 10, holds 69.0% of service games versus Bejlek’s 62.7%, and her 66.3% first-serve-points-won rate gives her a meaningful first-strike edge in China.

The risk it names: Wang’s 243 minutes of court time in the past 7 days and that recent three-set loss are the main risks.

Estimates recorded before play, not certainties.

Keep exploring

[Open the full head-to-head](https://courtshark.ai/h2h?p1=10216016&p2=10239383)[Create a free account to keep it](https://courtshark.ai/register?redirect=%2Fh2h%3Fp1%3D10216016%26p2%3D10239383)

Match context

Players

Sara Bejlek  
vs Xiyu Wang

Event

Ningbo

Surface

Hard

Date

Tuesday, October 20

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/)