HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Krejcikova●●●
Krejcikova's #32 ranking, 1822 Elo (vs 1533) and 68% baseline vs 55% all point to a clear quality gap favoring her.
Serve/return▸ Krejcikova●●
Krejcikova serves at 61% vs Salkova's 55%; both return at 47%, so her stronger service game should produce more free holds.
Form▸ Krejcikova●●
Krejcikova is 8/10 with a 7-match win streak; Salkova is 6/10 and only just snapped a four-loss skid before her current 4-match run.
Rest▸ Salkova●
Krejcikova played 7 matches in 14 days on 1 day's rest, versus Salkova's 5 matches and 2 days off — a mild fatigue edge for Salkova.
Value= Even●●●
Model gives Krejcikova 73% but the market prices her at 92% (odds 1.09), leaving a -20% expected value — no edge here.
LEVEL GAP
The core case for Krejcikova is straightforward: she sits at #32 with a 1822 Elo rating against Salkova's #127 ranking and 1533 Elo, a 289-point gap that historically translates into a large edge in win probability. Her 68% baseline win rate compares favorably to Salkova's 55%, reinforcing that this is a mismatch in overall quality rather than a close contest decided by situational factors.
This level gap is the single largest driver of the model's 73% figure for Krejcikova, and it's grounded in hard ranking and rating data rather than recent form alone.
SERVING EDGE
Krejcikova holds a clear service advantage, winning 61% of her service points compared to Salkova's 55%. Since both players return at an identical 47%, the gap in outcomes should come mostly from whoever serves better — and that's Krejcikova. A 6-point service edge over a best-of-three format can be the difference in tight sets, especially if return numbers stay level throughout the match.
This serving gap works in tandem with the ranking and Elo disparity: not only is Krejcikova the higher-rated player overall, her specific service numbers back up why she should convert more of her own service games.
FORM & FATIGUE
Momentum favors Krejcikova, who arrives on a 7-match winning streak and an 8/10 record over her last ten matches. Salkova, by contrast, is 6/10 over the same span and only recently emerged from a four-match losing stretch before stringing together her current 4-match run — she's trending up, but from a much lower base.
The one factor cutting the other way is scheduling: Krejcikova has played 7 matches in the last 14 days on just a single day of rest, while Salkova has had 5 matches and 2 days off. That workload difference is a real but secondary concern — it doesn't offset the level and form gap, but it's worth noting as a potential source of late-match fatigue.
VALUE CHECK
The model rates Krejcikova as a 73% favorite, well below the market's implied 92% probability at odds of 1.09. That gap produces an expected value of -20%, meaning the price is not offering value even though Krejcikova is the deserved favorite on level, form and serving numbers.
Being favored and being a good bet are not the same thing. Here the market has priced in more certainty than the model's factors support, so despite Krejcikova's clear edges in ranking, Elo, serve and recent form, backing her at this price is not a positive-expectation decision by this model's read.
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.