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Court Shark Tennis Desk

Rybakina vs Kudermetova Prediction: Ningbo 2026 Round of 16

Rybakina's hard-court service advantage makes her the Ningbo favorite, but Kudermetova's return record prevents a clean sweep of the key comparisons.

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Elena Rybakina faces Polina Kudermetova in Ningbo's round of 16 with a clear advantage on serve, but not on return. Court Shark's model gives Rybakina an 82% chance of winning.

A quarterfinal place rests on a lopsided service matchup

The round of 16 at Ningbo sends the winner of Thursday's match between Elena Rybakina and Polina Kudermetova into the quarterfinals. Rybakina's hard-court service record gives her the stronger case, though Kudermetova actually broke serve slightly more often over the same period. The distinction matters. This is a forecast built around protecting serve, rather than superiority in both parts of the game.

Rybakina entered as No. 1, while Kudermetova was ranked No. 105, giving this match a substantial ranking gap alongside the difference in service performance. Rybakina had won eight of her last 10 matches on hard courts. Kudermetova had split her recent hard-court matches evenly, but arrived on a three-match winning run. That recent success gives the underdog something more immediate to draw on than her broader record.

Service games held: where they stand

Article snapshot, Oct 21, 2026 · Not live

Each dot is one of the WTA top 100 with enough matches in the last 52 weeks. Elena Rybakina is 1st of 66; Polina Kudermetova ranks ahead of 1 of 66.

Service games held, last 52 weeks, against the WTA top 100
PlayerService games heldPlace
Elena Rybakina83.1%1st of 66
Polina Kudermetova58.4%Ahead of 1 of 66
Field median69.5%
Field best (Elena Rybakina)83.1%1st
Source: Court Shark model and match data.

Rybakina's advantage is holding, not breaking

Over the past year on hard courts, Rybakina held 84% of her service games, compared with Kudermetova's 67%. That is the clearest separation. If those patterns carry into Ningbo, Rybakina should have more room to survive an unproductive return game without falling behind in the set.

The return comparison points the other way: Kudermetova broke in 34% of her return games, while Rybakina broke in 32%. Those figures do not support the idea that Rybakina has an edge in both holding and breaking, even though she remains the stronger overall pick. Kudermetova's route begins with making that return advantage count against a much more reliable server.

The samples covered 51 matches for Rybakina and 29 for Kudermetova. These are substantial records, but they describe performances against different opponents, not what either player must produce in this particular match. My reading is that Rybakina's service advantage matters more than the smaller difference on return.

Recent match play gives Kudermetova an opening

Rybakina had gone 18 days without a match, while Kudermetova had played four times over the past fortnight. Rust is the immediate concern. If Rybakina's service reliability takes time to return, Kudermetova's recent competition offers a concrete route to making the early games less comfortable for the favorite.

Their only previous meeting ended in a Rybakina victory in Berlin in 2023. It was on grass, so that result offers little direct evidence about how Kudermetova's return will hold up against Rybakina on this surface. The useful test is whether Kudermetova can pressure service games here, rather than whether she can reverse an old result elsewhere.

Kudermetova also needs her own serve to outperform its broader hard-court record. Breaking Rybakina occasionally will have limited value if she immediately gives those games back. Sustained holds would force Rybakina to find more on return, the part of this comparison where the favorite has no statistical advantage.

The prediction

Court Shark's model favors Rybakina with an 82% win probability, while the market consensus has her at 86%. Both favor her clearly. The model is less emphatic than the market, which has remained unchanged since its opening reading.

Court Shark's AI analyst, which reads the matchup without the market, also picks Rybakina and agrees with the model's choice. The tennis case rests on her ability to protect service games far more consistently, rather than on any advantage in breaking serve. A straight-sets Rybakina win is the likeliest result, and the forecast median is 19 total games.

The middle half of forecast outcomes runs from 17 to 25 games, leaving room for competitive sets without requiring a deciding set. Kudermetova's first task is to hold often enough that her small return advantage has time to matter.

How long it could go

Article snapshot, Oct 21, 2026 · Not live

A 54% chance the match lasts 17 to 25 games; 19 is the middle of the range.

Chance of each total number of games in the match
Total gamesChance
120.4%
131.9%
144.2%
157.3%
169.5%
1710.8%
189.8%
198.4%
207.2%
214.9%
225.6%
233.5%
241.3%
252.6%
262.9%
272.4%
282.7%
292.7%
302.6%
312.5%
322.2%
331.4%
341.0%
351.1%
360.5%
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 21, 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
MeasureElena RybakinaPolina Kudermetova
Wins, last 10 matches80% (8-2)50% (5-5)
Wins, last 10 on hard80% (8-2)50% (5-5)
Head-to-head wins100% (1-0)0% (0-1)
Model win probability82%18%
Source: Court Shark model and match data.

Recent form

Article snapshot, Oct 21, 2026 · Not live

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

Recent results by player, oldest first
PlayerDateResultOpponentScoreEvent
Elena RybakinaAug 19, 2026WDiana Shnaider6-4 6-4Cincinnati
Elena RybakinaAug 20, 2026LIga Swiatek1-4 RETCincinnati
Elena RybakinaSep 1, 2026WThea Frodin6-3 6-2US Open
Elena RybakinaSep 4, 2026WJessica Bouzas Maneiro6-2 6-4US Open
Elena RybakinaSep 6, 2026WYuliia Starodubtseva7-6(6) 6-3US Open
Elena RybakinaSep 7, 2026WNaomi Osaka6-1 6-4US Open
Elena RybakinaSep 9, 2026WQinwen Zheng3-6 6-1 6-4US Open
Elena RybakinaSep 11, 2026WCori Gauff3-6 6-4 6-4US Open
Elena RybakinaSep 12, 2026WAryna Sabalenka6-4 5-7 6-2US Open
Elena RybakinaOct 3, 2026LAlina Charaeva6-3 4-6 3-6Beijing
Polina KudermetovaAug 13, 2026LXiyu Wang3-6 2-6Cincinnati
Polina KudermetovaAug 24, 2026LLinda Fruhvirtova1-6 3-6US Open
Polina KudermetovaSep 21, 2026LKamilla Rakhimova6-7(4) 6-4 5-7Seoul
Polina KudermetovaSep 30, 2026WYe Xin Ma6-7(2) 6-3 6-2Beijing
Polina KudermetovaOct 2, 2026WClara Tauson6-4 4-6 6-4Beijing
Polina KudermetovaOct 4, 2026LMirra Andreeva4-6 1-6Beijing
Polina KudermetovaOct 10, 2026LKatie Volynets2-6 1-6Wuhan
Polina KudermetovaOct 17, 2026WMananchaya Sawangkaew6-3 6-4WTA Ningbo
Polina KudermetovaOct 18, 2026WAnastasia Zakharova6-3 6-3WTA Ningbo
Polina KudermetovaOct 20, 2026WCristina Bucsa7-6(5) 6-2WTA Ningbo
Source: Court Shark model and match data.

Head-to-head by surface

Article snapshot, Oct 21, 2026 · Not live

Elena Rybakina and Polina Kudermetova have met once. Elena Rybakina leads 1-0.

Head-to-head record, Elena Rybakina first
SurfaceElena RybakinaPolina Kudermetova
All surfaces10
Grass10
Source: Court Shark model and match data.

Win rate by surface

Article snapshot, Oct 21, 2026 · Not live

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

Win rate by surface
SurfaceElena RybakinaPolina Kudermetova
Hard79% (26-7)50% (11-11)
Clay82% (9-2)67% (16-8)
Grass50% (3-3)Too few matches (4)
Source: Court Shark model and match data.

Serve and return on hard courts

Article snapshot, Oct 21, 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
MeasureElena RybakinaPolina KudermetovaTour average, all years
Service games held82%65%63%
Return games broken30%33%37%
Matches in sample3322
Source: Court Shark model and match data.

Model and market on Elena Rybakina

Article snapshot, Oct 21, 2026 · Not live

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

Elena Rybakina's chance to win
ReadingElena RybakinaPolina Kudermetova
Opening consensus86%14%
Latest consensus86%14%
Court Shark model82%18%
Source: Court Shark model and pre-match market consensus.

Model win probability

Article snapshot, Oct 21, 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)
Elena Rybakina82%8-2
Polina Kudermetova18%5-5
Source: Court Shark model and match data.

Ways to win

Article snapshot, Oct 21, 2026 · Not live

Every way the match can finish. The likeliest single result is Elena Rybakina in straight sets (66%).

Chance of each final set score
ResultChance
Elena Rybakina wins 2-066%
Elena Rybakina wins 2-116%
Polina Kudermetova wins 2-19%
Polina Kudermetova wins 2-09%
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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