R. Jodar vs K. Nishikori — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
Some wind: makes baseline control harder.
Surface feeds the model (surface specialization is one of its factors). Weather and altitude are context we publish for you — they do NOT move the probability.
›Ranking: #26 vs #65 (better ranked)
›Model 68% vs market 83% → the model sees it as less likely than the odds
›Recent form: 7/10 in recent matches
The clearest signal here is the sheer gap in level: a 211-point Elo advantage (2056 vs 1845) and a ranking difference of nearly 40 spots (#26 vs #65) point to Jodar being the structurally stronger player. The baseline model reflects this with a 69% vs 53% split, a 16-point margin that is meaningful but not overwhelming.
This gap is corroborated by Jodar's serving numbers — 63% of service points won is a robust figure that, combined with a 40% return rate, suggests he can pressure Nishikori's service games while protecting his own reliably.
Jodar arrives having won 7 of his last 10 matches, including notable wins over A. Fils (2083 Elo) and A. Michelsen (1952) — quality scalps that reinforce the level gap seen in the ranking and Elo numbers. Nishikori, by contrast, is 6-4 over the same span with no listed quality wins, suggesting his recent form has come against lesser competition.
Both players carry a 1-match win streak, so neither enters with a hot hand advantage; the separating factor is the caliber of opposition each has been beating.
Rest is a marginal factor: Nishikori has had 2 days since his last match versus Jodar's 1, and both have played just a single match in the past 14 days. This gives Nishikori a small freshness edge, though the gap is too thin on its own to offset Jodar's broader level advantage.
A separate risk flag notes a possible long layoff for Jodar, which — if it affects match sharpness — could add uncertainty to his otherwise favorable profile, though this is not quantified in the data.
Jodar is the deserved favorite on level, form, and serving numbers, and the model installs him at 68%. But the market prices him even higher, at an implied 82% (odds of 1.22), producing a -16.8% expected value. That gap means betting Jodar here is paying a premium beyond what the model's own edge justifies.
In practice, being the favorite is not the same as offering value: the model agrees with the market's direction but disagrees with its magnitude. On this data, there is no positive edge for either side — the price simply asks more confidence than the model is willing to give.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.