V. Vacherot vs R. Collignon — prediction
Slow court, high bounce: longer points, rewards whoever holds up from the baseline.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
Light wind: no noticeable effect.
High altitude: thin air, faster ball and longer bounce.
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: #19 vs #43 (better ranked)
›Model 64% vs market 42% → the model sees it as MORE likely than the odds
›Recent form: 7/10 in recent matches
›On a streak: 2 wins in a row
Vacherot enters as the higher-ranked player (#19 vs #43) with a positive trend (-2, meaning he's climbing) against Collignon's sharp decline (+21, meaning he's dropped 21 spots). The baseline model reflects this gap clearly, rating Vacherot at 64% against Collignon's 47%.
Recent form reinforces the same picture: Vacherot is 7-3 over his last 10 matches, including wins over De Minaur (Elo 2044) and Musetti (Elo 2042), both notably higher-rated than either player in this match. Collignon's 6-4 record over the same span includes no such quality wins, meaning his form, while positive, has come against weaker competition.
Collignon's serve/return split (69% service points won, just 31% on return) shows a player who leans heavily on his serve to win matches, with comparatively little success from the back of the court. No equivalent serve data exists for Vacherot, so a direct comparison isn't possible, but this dependency is worth flagging.
The 1050m altitude and warm, dry weather (26°C, 45% humidity) both speed up the ball, a condition that generally rewards the stronger server. Since Collignon's 69% hold rate is the only serve number on record, these conditions could work modestly in his favor on serve, even if the broader match picture still favors Vacherot.
The two have split their previous meetings 1-1, offering no meaningful edge either way. On rest, Collignon has played two matches in the last 14 days versus Vacherot's one, suggesting slightly sharper match rhythm, though both players are one day removed from their last outing.
Separately, the data flags Vacherot as coming off a 51-day layoff, which introduces a real risk of rustiness regardless of his ranking and form advantages. This is a genuine downside risk, not something the ranking or form numbers already capture.
The model rates Vacherot at 64% to win, notably higher than the market's implied 42% (odds of 2.38), producing a stated EV of +51.9%. That gap is large enough to be worth noting, but it should be read with some caution: a favorite being rated above the market does not guarantee value, and this margin is wide enough that it merits skepticism rather than blind trust.
Overall, the case for Vacherot rests on real, numbered advantages — ranking, form, quality wins — while the case for caution rests on the layoff risk and Collignon's recent match rhythm. The market may be pricing in the rustiness risk that the model underweights, so treat this as a genuine but not risk-free edge, not a sure thing.
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.