HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Pereira●●
Pereira's Elo (1662) tops Wazny's (1561) by 101 points, producing a 64% model win probability — a real but moderate gap.
Serve/return= Even●●
Pereira serves better (62% vs 57%) but Wazny returns better (45% vs 38%) — each player's strength partly cancels the other's.
Rest▸ Wazny●●
Both had 1 day off, but Pereira played 5 matches in 14 days vs Wazny's 3 — more accumulated load on the favorite.
Head-to-head▸ Pereira●
Pereira won their only prior meeting (2026), a small but positive data point given the single-match sample.
Form= Even●
Nearly identical recent form: Pereira WLLWWWLLWW vs Wazny WWLWWWLLWW, both on a 2-match win streak.
Market value▸ Wazny●●●
Market prices Pereira at 71% implied, model at 64% — the -9.5% EV means the price already overstates his edge.
RATING GAP
The core case for Pereira is the Elo differential: 1662 against 1561, a 101-point gap that translates into a 64% model probability. That's a real, measurable edge in a soft ITF market, but it's a moderate one, not a lopsided mismatch — this is a clear favorite, not a heavy one.
Ranking data only exists for Pereira (371), with no number for Wazny, so no direct ranking comparison reinforces or contradicts the Elo read here. The rating gap stands alone as the primary quantitative signal of quality.
SERVE VS RETURN
The service numbers cut both ways. Pereira's 62% serve-points-won is the single best individual number in the match, five points clear of Wazny's 57% — a mechanism that should let him hold more comfortably. But Wazny's 45% on return outpaces Pereira's own 38%, meaning the opponent is the better returner of the two by a 7-point margin.
In practice, that sets up a dynamic where Pereira's serve strength is partially offset by Wazny's return skill, while Wazny's own (lesser) serve faces a below-average returner in Pereira. Neither player holds a clean advantage across both halves of the point — it's a genuine split matchup rather than a one-way street.
SCHEDULE LOAD
Both players are working on identical one-day rest, so there's no fatigue gap from the immediate turnaround. The difference shows up over the last two weeks: Pereira has played 5 matches in 14 days against Wazny's 3, a meaningfully heavier workload that can matter in physical, ITF-level tennis.
This congestion factor works against the favorite. It doesn't override the Elo edge, but it's a tangible reason the match could be closer than the rating gap alone suggests.
H2H AND FORM
The one prior meeting went to Pereira (2026), a mild positive signal but based on a single data point that shouldn't be weighted heavily. Recent form is essentially a wash — Pereira's WLLWWWLLWW and Wazny's WWLWWWLLWW are near-mirror images, both riding two-match winning streaks with the same overall win count in their last ten.
VALUE READ
The model gives Pereira a 64% chance of winning, but the market (via 1.41 odds) is pricing him at 71% implied probability. That gap produces a -9.5% expected value — the price is asking you to pay more confidence in Pereira than the model's own numbers support.
Being the favorite here is not the same as being a value play. With Elo-based Challenger/ITF estimates, the edge is inherently soft and unproven in live markets. On the numbers given, this is a case where the market is already ahead of the model — there's no indicated value on Pereira at this price.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). Soft-market estimate: the value is unproven live. 18+ · gamble responsibly.