C. Norrie vs J. Duckworth — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Strong heat: warm air speeds the ball up and physical wear tells in long matches.
Dry air: the ball travels normally.
Some wind: makes baseline control harder.
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: #29 vs #79 (better ranked)
›Recent form: 4/10 in recent matches
›Model 65% vs market 75% → the model sees it as less likely than the odds
!Coming off 5 losses in a row
!Returning from a long layoff (30d) — possible rustiness
The clearest edge in this match is the pure quality differential: Norrie's Elo of 1913 sits comfortably above Duckworth's 1817, and the 50-spot ranking gap (#29 vs #79) reinforces that the model's baseline win rate — 52% for Norrie against just 32% for Duckworth — is not a fluke of recent results but reflects sustained separation in overall level.
This baseline gap is the foundation of Norrie's favorite status; everything else in the match (rest, form, conditions) has to be weighed against this structural advantage.
The serve/return numbers cut in offsetting directions. Duckworth's own serve (69%) is stronger in raw terms than Norrie's (62%), but Norrie's return game (37%) is materially better than Duckworth's (28%). The two effects largely cancel: each player should hold at a healthy clip against the other's return, meaning this match is less likely to be decided by one server dominating, and more likely to hinge on a handful of break-point swings.
Rest works against the favorite here. Norrie played as recently as yesterday and has had only 1 match in the last two weeks, while Duckworth has been off for 27 days with zero matches in that span. The schedule-congestion flag explicitly cuts against Norrie, raising the risk of accumulated physical load working against him even though he is the stronger player on paper.
Duckworth's long layoff is a double-edged sword — freshness for him, but also a real chance of match rust after four weeks away from competition, so this factor should not be read as a one-sided boost for the underdog.
Both players enter with losing recent form, but not equally so. Norrie's 4-10 stretch includes notable wins over Machac (Elo 1979) and Quinn (Elo 1907) — results that show he can beat comparable or better opposition. Duckworth's 3-10 log carries no such quality wins, suggesting his few victories came against lower-tier competition.
Being the favorite does not mean this is a value bet. The model assigns Norrie a 65% win probability, while the market (via 1.33 odds) implies roughly 75% — a gap that produces a -13% expected value on backing him. In practical terms, the market is more confident in Norrie than the model's factor-based read of level, rest, form and conditions supports.
This is a case where the data lean (Norrie as the stronger, better-ranked player) and the betting value diverge: he remains the more likely winner, but at these odds the risk is not adequately compensated. Approach with that distinction in mind rather than conflating 'favorite' with 'good bet.'
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.