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MODEL PREDICTION · 2026-07-12

M. Trungelliti vs K. Jacquet — prediction

✓ Correct
TRUNGELLITIWIN PROBABILITYJACQUET
55%
model prob.
@2.04
odds · 49% impl.
H2H 1–0 Trungelliti🌡29° · 62% humRest 13d vs 10d🎾Serve 61%📈Form 4/10 · 3✗
THE MODEL'S REASONING

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

Calibrated model probability (~65% out-of-sample accuracy). Not a guarantee: the model ≈ the market on average, so the odds already capture almost all the edge. 18+ · gamble responsibly.
@1.81
fair odds
+12.9%
expected value
HOW EACH FACTOR MATTERS
Serve/return▸ Jacquet●●●
Jacquet serves at 68% vs Trungelliti's 61%; both return identically at 37%, giving Jacquet the clearer service edge.
Form▸ Jacquet●●●
Jacquet is 6-4 in his last 10 with a win over G. Dimitrov (Elo 1924); Trungelliti is 3-7 on a 3-match losing streak.
Level (Elo/ranking)= Even●●
Ranking favors Trungelliti (#94 vs #147), but Elo favors Jacquet (1907 vs 1821) — the two signals conflict.
Rest▸ Trungelliti●●
Trungelliti has 13 days' rest with just 1 match in two weeks; Jacquet played twice in 14 days on 10 days' rest, slightly more fatigue.
Head-to-head▸ Trungelliti
Trungelliti won the only prior meeting (2026), but a single match carries limited predictive weight.
Weather▸ Jacquet
Hot, humid conditions (29°C, 62% humidity) speed up the ball, mildly favoring the better server, Jacquet at 68%.
Value▸ Trungelliti●●
Model gives Trungelliti 55% vs a 49% market-implied probability, producing a 12.9% edge on his side per this method.
SERVE BATTLE

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.

FORM DIVERGENCE

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.

CONFLICTING SIGNALS

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.

HONEST VALUE READ

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.

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