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Court Shark Tennis Desk

Stoiana vs Siniakova: Osaka model and market split

Siniakova's ranking supports favoritism in Osaka, but Stoiana's recent form and return record make the case for a tighter contest.

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52% is Court Shark's model probability for Katerina Siniakova in the Osaka quarterfinal, a narrow edge rather than a strong favorite's position. Her ranking supports favoritism, but Mary Stoiana's recent results and hard-court return record support a closer match.

The disagreement is about the size of Siniakova's edge

The market consensus gives Katerina Siniakova a 69% chance, leaving a 17 percentage point gap against Court Shark's estimate. Both favor her. The disagreement concerns how much separation there is between her and Mary Stoiana, rather than which player should start as the favorite. That distinction matters for a match with evidence pointing in both directions.

The price moved 2 points toward Siniakova from the opening consensus. That establishes the direction of market expectations, but it cannot explain the reason for the move or identify which part of her game prompted it. The movement strengthened an existing preference rather than reversing the order of the players.

Siniakova is ranked No. 86, while Stoiana is No. 114. That offers a straightforward basis for putting Siniakova ahead, although the ranking order alone does not establish how wide the difference should be on this surface. My reading is that her stronger standing supports the favorite's label. Stoiana's results provide the clearest argument against making that label too strong.

Model and market on Mary Stoiana

Article snapshot, Oct 22, 2026 · Not live

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

Mary Stoiana's chance to win
ReadingMary StoianaKaterina Siniakova
Opening consensus33%67%
Latest consensus31%69%
Court Shark model48%52%
Source: Court Shark model and pre-match market consensus.

Stoiana brings the stronger recent record

Stoiana has gone 7-3 over her latest matches, compared with Siniakova's 5-5. Their recent hard-court records follow the same pattern, making Stoiana's form relevant to the conditions in Osaka rather than an achievement confined to another surface. Form favors Stoiana here. Those records do not adjust for opponent strength, so they cannot by themselves establish that she has played the better tennis.

Her four-match winning run includes a deciding set victory over Moyuka Uchijima after straight-set wins in her earlier Osaka matches. That is useful evidence of progress through this event, with her latest match requiring recovery after losing the middle set. It also means her current run has survived a setback within a match, rather than consisting entirely of uninterrupted control.

For Siniakova, a two-match winning run includes her latest victory over Magda Linette in straight sets. Her preceding victory over Peyton Stearns ended in a retirement, which limits how much that result says about her ability to finish a full contest. The Linette win is a cleaner positive signal. It gives Siniakova a current result to set against Stoiana's longer run, without erasing the broader contrast in recent consistency.

Recent form

Article snapshot, Oct 22, 2026 · Not live

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

Recent results by player, oldest first
PlayerDateResultOpponentScoreEvent
Mary StoianaSep 2, 2026LAlexandra Eala1-6 2-6US Open
Mary StoianaSep 9, 2026WJazmin Ortenzi6-3 6-2Barranquilla 125
Mary StoianaSep 10, 2026LJulia Riera6-4 6-7(7) 3-6Barranquilla 125
Mary StoianaSep 16, 2026WClaire Liu6-3 7-5Sao Paulo
Mary StoianaSep 17, 2026WDominika Salkova7-6(5) 6-1Sao Paulo
Mary StoianaSep 18, 2026LPaula Badosa4-6 2-6Sao Paulo
Mary StoianaOct 17, 2026WRinko Matsuda6-3 7-6(1)WTA Osaka
Mary StoianaOct 18, 2026WSayaka Ishii6-4 7-5WTA Osaka
Mary StoianaOct 20, 2026WOleksandra Oliynykova6-2 6-3WTA Osaka
Mary StoianaOct 22, 2026WMoyuka Uchijima6-2 2-6 6-3WTA Osaka
Katerina SiniakovaAug 4, 2026LKamilla Rakhimova7-6(1) 0-6 2-5 RETToronto
Katerina SiniakovaAug 16, 2026WJessica Bouzas Maneiro6-7(5) 6-1 6-1Cincinnati
Katerina SiniakovaAug 18, 2026LMadison Keys1-6 3-6Cincinnati
Katerina SiniakovaAug 31, 2026WElisabetta Cocciaretto6-3 6-2US Open
Katerina SiniakovaSep 3, 2026LNaomi Osaka2-6 7-5 1-6US Open
Katerina SiniakovaOct 1, 2026WMagda Linette6-4 6-3Beijing
Katerina SiniakovaOct 3, 2026LElina Svitolina6-1 4-6 2-6Beijing
Katerina SiniakovaOct 13, 2026LLiudmila Samsonova1-6 7-5 2-6Wuhan
Katerina SiniakovaOct 20, 2026WPeyton Stearns6-4 0-6 4-0 RETWTA Osaka
Katerina SiniakovaOct 22, 2026WMagda Linette6-4 6-1WTA Osaka
Source: Court Shark model and match data.

Watch whether Stoiana can pressure Siniakova's serve

On hard courts, Stoiana has broken serve in 41% of return games, against Siniakova's 37%. That supports a concrete route for the underdog: keeping Siniakova from building comfortable service holds and making her defend repeatedly. Return pressure matters here. These samples cover different opponents and are not a direct measurement of how either player will return against the other.

On serve, Siniakova has held 66% of games in the hard-court sample, compared with Stoiana's 64%. I read that as a modest serving advantage rather than a decisive separation, especially alongside Stoiana's stronger return figure. Early service games should help test that reading. Comfortable holds for Siniakova would weaken the case that Stoiana can turn her return record into sustained pressure.

There is no previous meeting to establish a matchup pattern, so neither player has a direct record of solving the other's game. Watch whether Stoiana can protect serve while creating chances on return, rather than judging her prospects only by occasional breaks. If Siniakova repeatedly holds without pressure and attacks Stoiana's service games, the case for a close contest would become less persuasive.

Explore this matchup

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

Player comparison

Article snapshot, Oct 22, 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
MeasureMary StoianaKaterina Siniakova
Wins, last 10 matches70% (7-3)50% (5-5)
Wins, last 10 on hard70% (7-3)50% (5-5)
Model win probability48%52%
Source: Court Shark model and match data.

Win rate by surface

Article snapshot, Oct 22, 2026 · Not live

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

Win rate by surface
SurfaceMary StoianaKaterina Siniakova
Hard60% (15-10)54% (20-17)
Clay67% (10-5)50% (3-3)
Grass70% (7-3)57% (4-3)
Source: Court Shark model and match data.

Serve and return on hard courts

Article snapshot, Oct 22, 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
MeasureMary StoianaKaterina SiniakovaTour average, all years
Service games held64%66%63%
Return games broken41%37%37%
Matches in sample2537
Source: Court Shark model and match data.

Model win probability

Article snapshot, Oct 22, 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)
Mary Stoiana48%7-3
Katerina Siniakova52%5-5
Source: Court Shark model and match data.

Ways to win

Article snapshot, Oct 22, 2026 · Not live

Every way the match can finish. The likeliest single result is Katerina Siniakova in straight sets (34%).

Chance of each final set score
ResultChance
Mary Stoiana wins 2-030%
Mary Stoiana wins 2-118%
Katerina Siniakova wins 2-118%
Katerina Siniakova wins 2-034%
Source: Court Shark model and match data.

How long it could go

Article snapshot, Oct 22, 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 gamesChance
120.3%
131.2%
142.8%
155.0%
167.4%
178.7%
188.6%
197.9%
206.8%
215.1%
225.8%
233.7%
242.3%
253.8%
263.9%
273.8%
284.0%
294.1%
303.8%
313.3%
322.8%
331.8%
341.3%
351.1%
360.5%
Source: Court Shark model and match data.

Service games held: where they stand

Article snapshot, Oct 22, 2026 · Not live

Each dot is one of the WTA top 100 with enough matches in the last 52 weeks. Mary Stoiana ranks ahead of 1 of 64; Katerina Siniakova ranks ahead of 20 of 64.

Service games held, last 52 weeks, against the WTA top 100
PlayerService games heldPlace
Mary Stoiana54.3%Ahead of 1 of 64
Katerina Siniakova66.4%Ahead of 20 of 64
Field median69.5%
Field best (Elena Rybakina)83.0%1st
Source: Court Shark model and match data.

Two years of form

Article snapshot, Oct 22, 2026 · Not live

Each player's pre-match Elo rating since Jan 4, 2025. Latest: Katerina Siniakova 1745 (Oct 20, 2026), Mary Stoiana 1708 (Oct 20, 2026).

Pre-match Elo rating over the last two years
PlayerStart of windowTwo-year peakLatest
Mary Stoiana1500 (Jan 8, 2025)1708 (Oct 20, 2026)1708 (Oct 20, 2026)
Katerina Siniakova1675 (Jan 4, 2025)1787 (Oct 10, 2025)1745 (Oct 20, 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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