> ## Content Index > Fetch the complete content index at: https://courtshark.ai/blog/llms.txt > Use this file to discover other available public pages before exploring further. # Iva Jovic remains favored as Wuhan market edges away - URL: https://courtshark.ai/blog/iva-jovic-maja-chwalinska-wuhan-market-model/ - Published: 2026-10-14T15:01:08.000Z - Updated: 2026-10-14T15:01:07.000Z - Description: The market has edged toward Maja Chwalinska, but Jovic remains favored. Court Shark sees a closer Wuhan matchup than the consensus. - Author: Court Shark Desk - Tags: match-preview, Iva Jovic, Maja Chwalinska, Wuhan, Hard, WTA 1000 In this analysis 1. [Key takeaway](#key-takeaway) 2. [A small move toward Chwalinska](#s-a-small-move-toward-chwalinska) 3. [Recent wins support both sides differently](#s-recent-wins-support-both-sides-differently) 4. [The hard court gap is real, but uneven](#s-the-hard-court-gap-is-real-but-uneven) 5. [What the model says](#s-what-the-model-says) 6. [Explore this matchup](#explore) 7. [Methodology and sources](#methodology) Key takeaway Jovic remains the model's favorite at 60%, but the market is more confident at 71%. Chwalinska's return record and recent Wuhan wins make the size of that gap the main issue. The Wuhan market has moved slightly toward Maja Chwalinska, but Iva Jovic remains the clear favorite. Court Shark gives Jovic a 60% win probability, a closer contest than the consensus suggests. ## A small move toward Chwalinska 72% was the opening market consensus for [Iva Jovic](https://courtshark.ai/players/iva-jovic-10260300), and that has slipped to 71% against [Maja Chwalinska](https://courtshark.ai/players/maja-chwalinska-10216081). The favorite hasn't changed. The adjustment points toward a slightly more competitive match, rather than a broad reassessment of who should advance at Wuhan on Thursday. Jovic still commands clear market support, even with Chwalinska arriving after consecutive wins here and a recovery against Marie Bouzkova in her latest match. The move toward Chwalinska is 1 percentage point, while the distance between the market and Court Shark on Jovic is 11 points. That distinction matters more. The market has shifted in the model's direction, but the latest consensus still describes a substantially stronger favorite than Court Shark does. A small change in price should not be mistaken for agreement about how likely an upset is, particularly when the remaining difference is much larger than the move itself. Chwalinska's local results offer a tennis reason to reconsider the size of Jovic's advantage, although they do not establish what caused the market adjustment. Jovic has also won in Wuhan. Meanwhile, her involvement in the race for the remaining WTA Finals place gives this match significance beyond the immediate draw. That attention helps frame the occasion, but it does not establish that she should be priced as an overwhelming favorite. ### Model and market on Iva Jovic Article snapshot, Oct 14, 2026 · Not live Iva Jovic's chance as the market consensus priced it from the opening line, next to the Court Shark model. __Iva Jovic's chance to win__ | Reading | Iva Jovic | Maja Chwalinska | | ----------------- | --------- | --------------- | | Opening consensus | 72% | 28% | | Latest consensus | 71% | 29% | | Court Shark model | 60% | 40% | Source: Court Shark model and pre-match market consensus.View data table ## Recent wins support both sides differently Jovic's recent record is 8-2, compared with Chwalinska's 5-5\. The broader form favors Jovic. Her Guadalajara run included wins over Magdalena Frech and Peyton Stearns, followed by victories over Harriet Dart and Kamilla Rakhimova in Beijing. That sequence makes the favorite's position understandable without needing to lean on the Finals race, and it shows that her latest Wuhan win belongs to a sustained stretch rather than an isolated result. Against Dayana Yastremska, Jovic won 6-4 6-1 to begin her Wuhan campaign. It was a direct response to her Beijing defeat against Iga Swiatek, rather than another loss carrying into this tournament. The result matters in this comparison because Yastremska had beaten Chwalinska in Beijing, although a shared opponent cannot settle a different matchup. Jovic has the stronger recent record, but that connection alone says little about how she will handle Chwalinska's left-handed game. Chwalinska beat Bouzkova 1-6 6-1 6-1 after opening her Wuhan run against Mayar Sherif with a straight-sets win. The recovery deserves attention. It gives the recent move toward her a plausible sporting context, while stopping short of proving that her wider form has fully turned around. Her Singapore stretch also contained convincing wins before a loss to Leylah Fernandez, so the better reading is renewed competitiveness rather than an uninterrupted rise that began only this week. ### Recent form Article snapshot, Oct 14, 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 | | --------------- | ------------ | ------ | --------------------- | ----------- | ------------------- | | Iva Jovic | Sep 7, 2026 | L | Cori Gauff | 1-6 4-6 | US Open | | Iva Jovic | Sep 16, 2026 | W | Zeynep Sonmez | 7-6(5) 6-4 | Guadalajara | | Iva Jovic | Sep 17, 2026 | W | Magdalena Frech | 6-2 6-1 | Guadalajara | | Iva Jovic | Sep 18, 2026 | W | Cristina Bucsa | 6-4 6-1 | Guadalajara | | Iva Jovic | Sep 19, 2026 | W | Peyton Stearns | 6-4 6-2 | Guadalajara | | Iva Jovic | Sep 19, 2026 | W | Klara Kosan | 6-4 6-2 | WTA Guadalajara 500 | | Iva Jovic | Oct 3, 2026 | W | Harriet Dart | 2-6 6-3 6-3 | Beijing | | Iva Jovic | Oct 5, 2026 | W | Kamilla Rakhimova | 6-1 7-5 | Beijing | | Iva Jovic | Oct 7, 2026 | L | Iga Swiatek | 1-6 3-6 | Beijing | | Iva Jovic | Oct 14, 2026 | W | Dayana Yastremska | 6-4 6-1 | WTA Wuhan | | Maja Chwalinska | Aug 17, 2026 | L | Diana Shnaider | 2-6 6-7(3) | Cincinnati | | Maja Chwalinska | Aug 27, 2026 | L | Alycia Parks | 6-3 2-6 2-6 | Monterrey | | Maja Chwalinska | Aug 31, 2026 | L | Taylor Townsend | 2-6 3-6 | US Open | | Maja Chwalinska | Sep 21, 2026 | W | Rebecca Sramkova | 6-4 6-2 | Singapore | | Maja Chwalinska | Sep 23, 2026 | W | Oleksandra Oliynykova | 6-0 6-1 | Singapore | | Maja Chwalinska | Sep 25, 2026 | W | Elise Mertens | 6-2 6-2 | Singapore | | Maja Chwalinska | Sep 26, 2026 | L | Leylah Fernandez | 6-1 4-6 2-6 | Singapore | | Maja Chwalinska | Oct 2, 2026 | L | Dayana Yastremska | 3-6 1-6 | Beijing | | Maja Chwalinska | Oct 13, 2026 | W | Mayar Sherif | 6-3 6-2 | WTA Wuhan | | Maja Chwalinska | Oct 14, 2026 | W | Marie Bouzkova | 1-6 6-1 6-1 | WTA Wuhan | Source: Court Shark model and match data.View data table ## The hard court gap is real, but uneven Jovic has a 22-10 hard court record in the broader surface sample, against Chwalinska's 14-10\. That supports the favorite. It also extends the case beyond their latest tournament results, which can look quite different depending on where the comparison begins. Chwalinska's clay record is stronger than Jovic's in the available sample, but Wuhan is played on hard courts, so that reversal is background rather than a direct reason to oppose Jovic here. Jovic has held 71% of her service games on hard courts, compared with Chwalinska's 65%. The service edge is clear. If that difference carries into this match, Jovic would be better placed to protect a lead without repeatedly needing to recover breaks. Still, those figures describe past performance against different opponents, not a promise about this contest, and they should not be read as a point-by-point forecast of how either player will serve. Chwalinska has broken in 43% of return games on hard, while Jovic's figure is 41%. That narrows the contrast. The underdog's return record provides a concrete reason to expect resistance, even though her overall surface results are weaker than the favorite's. With no previous meeting between them, there is no direct matchup history showing whether Chwalinska can translate that return success against Jovic, or whether Jovic can consistently preserve the service advantage suggested by their records. ## What the model says Court Shark gives Jovic a 60% chance to win and Chwalinska a 40% chance. Jovic is the pick. That estimate favors the player with the stronger recent record and better hard court results, while leaving substantial room for Chwalinska to win. It is a probability, not a verdict on how the match must unfold, and it does not require dismissing the underdog's Wuhan recovery to maintain a preference for Jovic. ### Model win probability Article snapshot, Oct 14, 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) | | --------------- | --------------- | --------------------- | | Iva Jovic | 60% | 8-2 | | Maja Chwalinska | 40% | 5-5 | 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 14, 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 | Iva Jovic | Maja Chwalinska | | --------------------- | --------- | --------------- | | Wins, last 10 matches | 80% (8-2) | 50% (5-5) | | Wins, last 10 on hard | 80% (8-2) | 50% (5-5) | | Model win probability | 60% | 40% | Source: Court Shark model and match data.View data table ### Win rate by surface Article snapshot, Oct 14, 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 | Iva Jovic | Maja Chwalinska | | ------- | ----------- | ------------------- | | Hard | 69% (22-10) | 58% (14-10) | | Clay | 60% (6-4) | 64% (16-9) | | Grass | 75% (6-2) | Too few matches (1) | Source: Court Shark model and match data.View data table ### Serve and return on hard courts Article snapshot, Oct 14, 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 | Iva Jovic | Maja Chwalinska | Tour average, all years | | ------------------- | --------- | --------------- | ----------------------- | | Service games held | 71% | 65% | 63% | | Return games broken | 41% | 43% | 37% | | Matches in sample | 32 | 24 | | Source: Court Shark model and match data.View data table [Explore this matchup](https://courtshark.ai/h2h?p1=10216081&p2=10260300) Court Shark win probabilities are statistical estimates, not advice. No outcome is guaranteed. Match context Players Iva Jovic vs Maja Chwalinska Event Wuhan Surface Hard Date Thursday, October 15 Article snapshot · Not live Continue your research Compare form, explore surfaces and follow live match context. [Explore Premium](https://courtshark.ai/register?redirect=/start-premium)[See what's included](https://courtshark.ai/premium) - Advanced filters and splits - Save your research - Live context and updates Related on Court Shark - [How our match model works](https://courtshark.ai/blog/methodology/) - [Open the full head-to-head](https://courtshark.ai/h2h?p1=10216081&p2=10260300) - [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/)