K. Khachanov vs B. Tomic — 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: #22 vs #181 (better ranked)
›Recent form: 5/10 in recent matches
›More rested: 26d vs opponent's 2d
!Returning from a long layoff (26d) — possible rustiness
Khachanov's Elo advantage (1915 vs 1803) and ranking gulf (#22 vs #181) are the foundation of his favorite status, and the calibrated baseline model still gives him 55% before any contextual adjustments. This is a case where the sheer quality gap between a top-25 player and one ranked outside the top 180 is the dominant signal.
Serve and return numbers reinforce this modestly: Khachanov's 69% serve-points-won and 39% return-points-won both edge out Tomic's 67% and 38%. Neither gap is large, but both point the same direction, adding a small incremental edge on top of the ranking disparity.
The form split is the clearest counter-argument to Khachanov's favorite tag. Tomic arrives on a seven-match winning streak, going 9-1 in his last ten, while Khachanov is 5-5 over the same span and currently on a one-match losing run. Streaks at this level don't override a 112-spot ranking gap, but they matter for match-day sharpness and confidence.
Khachanov's only listed quality win, over Y. Hanfmann (Elo 1929), shows he can beat comparable opposition, but it doesn't offset the fact that his recent week-to-week form has been inconsistent while Tomic's has been uniformly positive.
The rest picture cuts both ways. Tomic has played six matches in the last 14 days and comes in on just two days' rest — a workload that can produce cumulative fatigue, especially against a higher-level opponent. Khachanov, by contrast, hasn't played in 26 days and had zero matches in the last two weeks.
That extended layoff is flagged as a rustiness risk for Khachanov: extended time off court can blunt timing and match rhythm, even for a higher-ranked player. So while Tomic's fatigue is a real drag on his level, Khachanov's freshness is not without its own downside.
The forecast (35°C, 44% humidity, 19 km/h wind) points to hot, dry conditions with some wind. Heat tends to speed up the ball and can slightly favor the more effective server; here that's Khachanov, whose 69% serve-points-won mark is a touch higher than Tomic's 67%. The wind adds a small variable that can disrupt precision for both players, but there's no data suggesting either is more wind-sensitive.
The model's 78% for Khachanov sits only a few points above the market-implied 75% (odds of 1.33), yielding a modest 3.3% expected value. This is a case where the model and the market are largely in agreement — Khachanov's price already reflects his ranking and Elo advantage, so there isn't a significant mispricing to exploit.
Given Tomic's active win streak and Khachanov's rustiness risk from a long layoff, the favorite tag is reasonable but not a strong value play. The small EV edge should be treated as marginal, not a signal of a mispriced line.
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.