HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Shapovalov●●●
Shapovalov's #41 ranking and 1881 Elo (vs #114/1834) underpin a 52% baseline win rate, 19 points above Svrcina's 33%.
Serve/return= Even●●
Both hold a 19-point serve-return edge (64% vs 45% return, and 57% vs 38% return), so neither projects a clear break advantage.
Form▸ Svrcina●●
Svrcina has won 5 of his last 10 matches versus Shapovalov's 3 of 10, suggesting sharper recent match play despite the ranking gap.
Rest▸ Shapovalov●●
Shapovalov carries more overall rest (44 days vs Svrcina's 17), a freshness edge, though the long layoff brings some rustiness risk.
Weather▸ Svrcina●
Humid heat (32°C, 66% humidity) slows the ball and lengthens rallies, slightly blunting Shapovalov's serve-reliant 64% service game.
Market value= Even●
Model gives Shapovalov 64% vs the market's implied 67% at 1.50 odds, yielding a -4.7% expected value — no edge shown.
LEVEL GAP
Shapovalov's ranking (#41) sits far above Svrcina's (#114), reinforced by a higher Elo rating (1881 vs 1834) and a baseline win probability of 52% versus 33% before other adjustments. This gap is the largest single input behind the model's 64% favorite probability, reflecting a genuine quality difference that should hold across most conditions.
SERVE-RETURN BALANCE
The service numbers reveal a near-symmetric trade: Shapovalov wins 64% of his service points against Svrcina's 45% return rate (a 19-point gap), while Svrcina holds serve at 57% against Shapovalov's 38% return (also a 19-point gap). Neither player shows a clear structural break-point edge on paper, so the outcome likely hinges more on the level and rest factors than on serve mechanics alone.
FORM AND FRESHNESS
Recent form actually tilts slightly toward Svrcina, who has won 5 of his last 10 matches compared to Shapovalov's 3 of 10, despite the wide ranking gap. Working in Shapovalov's favor is the additional rest flagged in the model — 44 days since his last stretch versus Svrcina's 17 — which can support physical freshness late in a match, though such a long layoff also carries a documented risk of early rustiness.
CONDITIONS
Hot, humid conditions (32°C, 66% humidity, 15 km/h wind) tend to slow the ball and stretch out rallies, a dynamic that can dull the impact of a heavy first serve. Since Shapovalov's game leans more on service points won (64%) than Svrcina's (57%), these conditions offer a marginal boost to the returning side without being decisive on their own.
VALUE READ
The model rates Shapovalov as a 64% favorite, below the market's implied 67% at the 1.50 price, producing a -4.7% expected value. Backing the favorite here does not represent value by the model's own estimate — the market is pricing him even more heavily than the factor model supports. Shapovalov remains the more probable winner on the numbers, but that is not the same as a favorable bet, and no edge is evident at these odds.
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.