MODEL PREDICTION · 2026-07-28
HARD

C. Moutet vs J. Brooksbyprediction

Los Cabos
MOUTETWIN PROBABILITYBROOKSBY
52%
model prob.
@1.98
odds · 51% impl.
H2H 1–0 MoutetRest 28d vs 25d🎾Serve 63%📈Form 1/10 · 3✗
CONDITIONS OF THE MATCHin the modelcontext
Surface
Hard

Consistent bounce, medium-fast: neutral conditions, no style favored.

Surface feeds the model — surface specialization is one of its factors.

OUR MODEL'S REASONING

Ranking: #39 vs #81 (better ranked)

Head-to-head: 1-0 in favor

Recent form: 1/10 in recent matches

WATCH FOR

!Coming off 3 losses in a row

!Returning from a long layoff (28d) — possible rustiness

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.
@1.92
fair odds
+3.0%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Moutet●●
Ranking gap (39 vs 81) favors Moutet, but Elo is nearly tied (1813-1807) and the baseline model actually favors Brooksby (48% vs 47%).
Serve/return▸ Brooksby●●●
Brooksby's return (38%) tops Moutet's (32%) by 6 points, and his serve (64%) edges Moutet's (63%), giving him more control of points.
Form▸ Brooksby●●●
Moutet is 1-9 in his last 10 with a 3-match skid; Brooksby is 4-6 with a win over a 1920-Elo player.
Head-to-head▸ Moutet
Moutet won the only prior meeting (2025), a small but real psychological edge.
Rest= Even
Both players are similarly rested (28 vs 25 days, no matches in the last 14), though Moutet's slightly longer layoff carries a mild rustiness risk.
SERVE VS RETURN

The serve numbers are close (Moutet 63%, Brooksby 64%), but the return split is not: Brooksby wins 38% of return points against Moutet's 32%. That six-point gap means Brooksby is the more disruptive returner in this matchup, capable of pressuring Moutet's service games more than Moutet can pressure his. Mechanically, this shifts the balance of break-point chances toward Brooksby even though the serve stats alone look nearly even.

This is the single clearest statistical edge in the match, and it points to Brooksby, not to the nominal favorite.

FORM AND MOMENTUM

Moutet arrives on a three-match losing streak, having won just one of his last ten matches (1-9). Brooksby's recent form is inconsistent but clearly better: 4-6 over the same span, including a quality win over a player rated 1920 Elo. Recent match data is one of the more predictive short-term signals, and here it runs opposite to the model's nominal favorite tag.

Momentum and quality of recent wins both favor Brooksby, which tempers any confidence drawn purely from the ranking gap.

RANKING VS MODEL

Moutet's ranking advantage (39 vs 81) is the most visible reason he is tagged favorite, and the ranking gap is real. But two other signals push back: Elo rates them almost identically (1813 vs 1807, a 6-point gap that is statistically meaningless), and the baseline model — before adjustments — actually gives Brooksby a slightly higher probability (48% vs 47%).

In short, the ranking table overstates Moutet's edge relative to what the more granular Elo and baseline signals show. The final 52/48 split reflects a compromise between these conflicting inputs, not a strong lean either way.

H2H AND RUST

The two have met once, with Moutet winning in 2025 — a modest positive data point for him, but a single match carries limited weight. Rest is essentially a non-factor: both players have been idle for a similar stretch (28 vs 25 days) with no matches in the past two weeks, though Moutet's slightly longer layoff introduces a small rustiness risk noted in the data.

VALUE READ

The model gives Moutet 52% against a market-implied 51% at odds of 1.98, producing a modest +3% expected value. That gap is small and sits well within the normal noise of a calibrated model with ~65% out-of-sample accuracy — this is close to a coin-flip priced close to fair value, not a mispriced market.

Given that recent form and the return-game numbers both lean toward Brooksby, and that the baseline model even favors him narrowly, the case for backing Moutet rests almost entirely on the ranking gap and a single head-to-head result. That is a thin edge. Any value here should be treated as marginal, not as a confident recommendation.

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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