M. Trungelliti vs K. Jacquet — prediction
›Ranking: #94 vs #147 (better ranked)
›Recent form: 3/10 in recent matches
›Head-to-head: 1-0 in favor
›Model 55% vs market 49% → the model sees it as MORE likely than the odds
Kacquet holds a real edge on serve, winning 68% of his service points compared to Trungelliti's 61% — a 7-point gap that matters in tight sets. Both players return at an identical 37%, so this difference isn't offset anywhere else in the data; it's a clean advantage for the opponent on the games he serves.
The hot, humid conditions (29°C, 62% humidity) tend to speed up the ball and shorten points, which generally rewards the better server. With no surface data available to qualify this further, the weather leans mildly toward Jacquet's serving numbers rather than neutralizing them.
The two players are trending in opposite directions. Jacquet is 6-4 over his last 10 matches, including a notable win over G. Dimitrov (Elo 1924), and his current losing streak is only one match. Trungelliti, by contrast, is just 3-7 in the same span and carries a three-match losing streak into this one.
This form gap is one of the more concrete signals in the data: Jacquet's ranking trend (-19) is worse than Trungelliti's (-13), but his match-by-match results have simply been better recently, and quality wins support that.
Ranking and Elo disagree here. Trungelliti sits at #94 versus Jacquet's #147, which nominally favors the higher-ranked player. But Elo — which accounts for opponent strength and recent match quality — rates Jacquet higher (1907 vs 1821). This split explains part of why the model's 55% probability for Trungelliti isn't overwhelming.
Rest slightly favors Trungelliti: 13 days off with only one match in the past two weeks, versus Jacquet's 10 days off and two matches in that window. It's a minor factor, but combined with the single prior head-to-head win, it adds a small amount of support for the favorite that the ranking and form gap alone don't fully justify.
The model assigns Trungelliti a 55% chance to win, while the market's implied probability (from the 2.04 odds) sits at 49% — a gap that produces a stated 12.9% expected value on the favorite. That gap is real but modest, and it exists despite Jacquet's better recent form and better serving numbers, both of which lean the other way.
This is an ATP-tier calibrated model with roughly 65% out-of-sample accuracy, not a certainty engine. Being the favorite here does not mean Trungelliti is the likely stylistic winner of this specific match — the serve and form indicators both point to Jacquet. The EV suggests the market may be underpricing Trungelliti, but bettors should weigh that against the tangible factors (serve, form) that actually work against him on court.
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.