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MODEL PREDICTION · 2026-07-13

R. Collignon vs T. Skatov — prediction

COLLIGNONWIN PROBABILITYSKATOV
73%
model prob.
@1.11
odds · 90% impl.
H2H 0–1 Collignon🌡30° · 34% hum1050 m altitudeRest 13d vs 1d🎾Serve 68%
THE MODEL'S REASONING

Ranking: #43 vs #202 (better ranked)

Recent form: 5/10 in recent matches

Model 73% vs market 90% → the model sees it as less likely than the odds

WATCH FOR

!Coming off 3 losses in a row

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.
@1.36
fair odds
−18.6%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Collignon●●●
Elo gap is wide (2004 vs 1752) and ranking gap huge (#43 vs #202); Collignon is clearly the stronger player on paper.
Rest▸ Collignon●●●
Collignon had 13 days off vs Skatov's 1, who played 3 matches in the last 14 days and reached a Gstaad Challenger final a day ago.
Form▸ Skatov●●
Collignon arrives on a 3-match losing streak; Skatov is riding a 2-match win streak despite an identical 5/10 record.
Head-to-head▸ Skatov
Skatov won the only prior meeting in 2025, though the sample is a single match and carries limited weight.
Serve/return= Even
Serve numbers are nearly identical (68% vs 67%) and returns close (30% vs 33%), showing no clear mechanical edge.
Altitude/Weather▸ Collignon
1050m altitude plus hot, dry, low-wind conditions speed up the ball, marginally favoring Collignon's slightly higher 68% serve rate.
Value/EV▸ Skatov●●●
Model sees a 50/50 match, but the market prices Collignon at 90% (odds 1.11), producing a -44.5% expected value on the favorite.
CLASS GAP

The Elo differential (2004 vs 1752) and the ranking spread (#43 vs #202) point clearly toward Collignon as the technically superior player. His improving ranking trend (+29 spots) reinforces that he's moving in the right direction, a signal Skatov's flat trend (0) doesn't match.

On paper, this quality gap is the single most decisive number in the data set and explains why the market treats him as an overwhelming favorite. But class differences don't automatically translate into a routine win, especially with the other conditions layered on top.

FATIGUE AND SCHEDULE

Skatov played three matches in the last 14 days and comes in on just one day of rest after reaching the Gstaad Challenger final. Collignon, by contrast, has had 13 days off with only a single match in the same period.

This asymmetry is significant: less recovery time typically costs a player legs and focus over best-of-three or five sets. Skatov's deep run fatigue context is a real drag on his side of the match, even though his recent match sharpness (having played more matches) could cut either way.

FORM AND HISTORY

Both players show an identical 5/10 record over their last ten matches, but the trend lines diverge: Collignon has lost his last three straight, while Skatov is riding a 2-match winning streak. That momentum split works against the favorite.

Adding to that, Skatov beat Collignon in their only previous meeting this year. It's a single data point and shouldn't be overweighted, but it does mean the head-to-head history offers no comfort for the higher-ranked player.

SERVE AND CONDITIONS

The serve/return numbers are close — Collignon at 68% serve/30% return vs Skatov at 67% serve/33% return — so neither player holds a clear mechanical advantage in this match-up. The hot, dry, low-wind conditions at 1050m altitude will speed up the ball and generally reward the better server, which gives Collignon a marginal, not decisive, edge given his slightly higher hold percentage.

Because the gap in service numbers is only one point, this factor should be read as a small tiebreaker rather than a primary driver of the outcome.

VALUE READ

Here's the honest disconnect: Baseline's model rates this match a true 50/50 coin flip, while the market prices Collignon at an implied 90% (odds of 1.11). That gap generates an expected value of -44.5% on the favorite — a clearly negative number that says the price is not supported by the model's read of the match.

Collignon may well be the better player and could win this match, but 'favorite' and 'value' are not the same thing here. At these odds, backing him offers no margin — the market has already priced in more certainty than the underlying factors (fatigue, form, head-to-head) justify. Skatov's schedule fatigue and recent slump for Collignon complicate what looks like a straightforward class gap on paper.

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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