C. Moutet vs J. Brooksby — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Surface feeds the model — surface specialization is one of its factors.
›Ranking: #39 vs #81 (better ranked)
›Head-to-head: 1-0 in favor
›Recent form: 1/10 in recent matches
!Coming off 3 losses in a row
!Returning from a long layoff (27d) — possible rustiness
On serve, the two are almost identical — Moutet wins 63% of his service points, Brooksby 64% — so neither side holds a clear advantage when serving. The separating number is on return: Brooksby converts 38% of return points against Moutet's 32%, a 6-point gap that suggests he is the more disruptive returner in this matchup.
That return edge matters more in a close-serving contest like this one: if Brooksby can generate more break chances than Moutet typically concedes, it tilts the balance of service games even though the raw serve percentages barely differ.
The two players are moving in opposite directions. Moutet has dropped 9 of his last 10 matches and is riding a 3-match losing streak, a pattern that raises real questions about his current level. Brooksby, by contrast, is 4-6 over the same span with a milder 1-match skid and a notable win over I. Buse (Elo 1920), suggesting sharper recent form.
The single head-to-head meeting favors Moutet — he won their only prior match in 2025 — but with just one data point, it does not offset the much larger sample showing Brooksby playing better tennis right now.
Moutet's ranking (#39) is well clear of Brooksby's (#81), and his Elo (1813) sits marginally above Brooksby's (1807). On paper, that combination points to Moutet. Yet the calibrated baseline actually nudges toward Brooksby (48% vs 47%), reflecting that ranking gaps alone are not decisive once form and return numbers are folded in.
This tension — ranking/Elo favoring Moutet, baseline slightly favoring Brooksby — is why the model's final edge for Moutet (52% vs 48%) is thin rather than commanding.
The model gives Moutet 52% versus a market-implied 48% at 2.1 odds, producing a modeled +9.2% EV. That is a real but modest gap, not a lock — the model and the market are close to each other here, and Moutet's own recent form (1-9) plus a slight return-game deficit versus Brooksby are legitimate reasons for caution.
Bettors should treat this as a marginal-value situation rather than a high-confidence pick: the edge is on the smaller side, built on a ranking gap the baseline model itself only partially endorses, and Moutet's current losing streak adds downside risk the raw percentages don't fully capture.
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.