Rafael Jodar Faces an Even Workload Test
Rafael Jodar carries stronger form and head-to-head results, while both players enter with equal rest.
Rest is not the separator
The workload is even. Alejandro Tabilo arrives having played only one match in the last 14 days, and Rafael Jodar has the same limited recent schedule. Both played yesterday. That leaves neither man with an obvious physical advantage from recent match volume. It also means the result should turn more on what each player brings to the court than on accumulated fatigue from a crowded run of events.
Tabilo is 29 and ranked No. 35, while Jodar is 20 and ranked No. 34. Their positions are close enough to make the workload comparison more relevant than a large ranking gap would be. Both are listed as fresh, with one day since their last match. Fresh legs matter in a best-of-three contest, especially if a tight first set forces longer exchanges and repeated service holds. There is no reason to expect either player to arrive depleted.
Model win probability
Article snapshot, Sep 20, 2026 · Not live
The Court Shark model's chance for each player to win this match.
| Player | Win probability | Recent form (last 10) |
|---|---|---|
| Alejandro Tabilo | 36% | 5-5 |
| Rafael Jodar | 64% | 7-3 |
Recent history favors Jodar
Jodar holds a 1-2 head-to-head edge over Tabilo, and that same record stands on hard courts. Their most recent meeting came in Cincinnati in August. Jodar won that match 6-2 6-1, a clean result that gives him the clearer recent reference point. Tabilo will not need to guess how this opponent has handled their matchup under similar conditions.
That score should be read carefully. One lopsided meeting does not settle a new match, particularly when both players have had time to reset and arrive with light workloads. Still, it gives Jodar evidence that he can take control quickly rather than merely survive a close contest. Tabilo's task is direct. He needs to prevent the earlier matchup from becoming the emotional frame for the opening games, because an early deficit would strengthen Jodar's confidence.
Form points in the same direction
Jodar has won 7 of his last 10 matches, compared with Tabilo's 5-5 record across the same span. He also enters on a one-match winning run. Tabilo has lost his last two. Those records do not make fatigue a factor, but they do describe different levels of recent confidence when the players step on court with equal recovery time.
The hard-court sample tells the same story. Jodar is 7-3 in his last 10 matches on the surface, while Tabilo is 5-5. Neither man has been grinding through an overloaded stretch, so these numbers are less likely to be distorted by a punishing sequence of matches. Jodar has simply produced more wins recently. Tabilo needs a sharper opening than his recent results suggest, because this format gives little time to recover from a slow start.
A fresh match still has pressure
This is a round-robin match in New York, and the setting changes the calculation around risk. There is no accumulated travel burden shown in the recent schedule for either player. That is useful context. The match can be played with the expectation that both men have enough in reserve to compete through a long set, rather than needing to shorten points because of prior workload.
Tabilo's ranking is his best mark, and Jodar's current ranking is also his best. That adds another layer to an already close matchup. Neither player is carrying a ranking decline into this meeting, while both have had space between recent matches. Jodar has the stronger form and the head-to-head advantage. Tabilo has the chance to make the contest more competitive than the last score, because rest will not be an excuse for either side.
What the model says
The model gives Rafael Jodar a 64% chance of winning and Alejandro Tabilo a 36% chance. That makes Jodar the clear pick, though it leaves room for Tabilo to challenge if he changes the shape of their recent hard-court meeting. Equal rest keeps the focus on execution. Jodar's better recent results and prior success in this pairing provide the stronger case before the first ball.
The market consensus has Jodar at 77% and Tabilo at 23%, after moving toward Jodar from its opening view. That is a firmer market lean than the model's estimate. The next round is undefined here: no opponent or scheduled match is listed. For this match, the shared light workload means neither player has a clear recovery-based route to overturn the broader form picture.
Explore this matchup
Compare both players side by side: recent results, head-to-head and the model.
Player comparison
Article snapshot, Sep 20, 2026 · Not live
Each measure on the same scale: recent wins, wins on this surface, head-to-head wins and the model's chance.
| Measure | Alejandro Tabilo | Rafael Jodar |
|---|---|---|
| Wins, last 10 matches | 50% (5-5) | 70% (7-3) |
| Wins, last 10 on hard | 50% (5-5) | 70% (7-3) |
| Head-to-head wins | 33% (1-2) | 67% (2-1) |
| Model win probability | 36% | 64% |
Head-to-head by surface
Article snapshot, Sep 20, 2026 · Not live
Alejandro Tabilo and Rafael Jodar have met 3 times. Rafael Jodar leads 2-1.
| Surface | Alejandro Tabilo | Rafael Jodar |
|---|---|---|
| All surfaces | 1 | 2 |
| Hard | 1 | 2 |
Model and market on Alejandro Tabilo
Article snapshot, Sep 20, 2026 · Not live
Alejandro Tabilo's chance as the market consensus priced it from the opening line, next to the Court Shark model.
| Reading | Alejandro Tabilo | Rafael Jodar |
|---|---|---|
| Opening consensus | 28% | 72% |
| Latest consensus | 23% | 77% |
| Court Shark model | 36% | 64% |
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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