Challenger · ELO ESTIMATE · 2026-07-14

D. Milavsky vs D. Chanprediction

Granby
✓ Correct
MILAVSKYWIN PROBABILITYCHAN
64%
Elo prob.
@1.82
odds · 55% impl.
Rest 4d vs 5d🎾Serve 63%📈Form 6/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1676 vs 1573 — favorite by rating

Challenger tier · 115 matches in the favorite's track record

Elo estimate (not the ATP factor model): these are softer, less-analyzed markets

WATCH FOR

!Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.

Tour Elo estimate (Challenger/ITF markets, not covered by the factor model). The value edge here is unproven live — it's a reference, not a recommendation. 18+ · gamble responsibly.
@1.55
fair odds
+17.2%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Milavsky●●●
Elo gap of 103 points (1676 vs 1573) drives the 64% model figure, above the market's 55% implied probability.
Serve/return▸ Milavsky●●
Milavsky wins 63% of serve points, a solid baseline edge; no comparable serve/return data exists for Chan to offset it.
Form▸ Milavsky
Both are 6-4 over the last 10, but Milavsky's -1 streak is milder than Chan's current -2 skid.
Rest▸ Chan●●
Chan is fresh with just 1 match in 14 days and 5 days off, while Milavsky has played 5 matches in the same span.
RATING GAP

The core of this pick is the Elo differential: 1676 for Milavsky against 1573 for Chan, a gap of roughly 100 points that translates into the model's 64% win probability for the favorite. This is a Challenger-level Elo estimate, not the full ATP factor model, so it should be read as a rough ranking of current level rather than a precise probability.

Still, a 100-point Elo gap at this tier is meaningful — it typically reflects a real quality difference built up over many matches (115 in Milavsky's tracked history), and there's nothing in the data that contradicts it.

SERVE EDGE

Milavsky's 63% rate on serve points won is the only style number available in this match, and it's a strong figure for the Challenger level. Because no equivalent serve or return numbers exist for Chan, we can't quantify a head-to-head style clash, but Milavsky's own serve output supports his higher win probability independent of the Elo model.

His 41% return rate is unremarkable, meaning his path to winning likely runs through holding serve rather than breaking, a detail worth keeping in mind if the match tightens.

FORM VS FATIGUE

Recent form is close: both players are 6-4 over their last 10 matches, so there's no material edge there. The tiebreaker is momentum and freshness — Milavsky is on a 1-match losing streak versus Chan's 2-match skid, a small plus for the favorite.

Schedule load cuts the other way. Milavsky has played 5 matches in the last 14 days against Chan's 1, and enters on one fewer rest day (4 vs 5). Over a Challenger week, that workload gap could matter more if the match extends into a decisive final set.

VALUE READ

The model prices Milavsky at 64% against a market-implied 55%, producing a nominal 17.2% expected value at 1.82 odds. That's a real gap on paper, but this comes from a Challenger/ITF Elo estimate — a softer market with less scrutiny than the ATP tour, where such edges are unproven in practice.

Treat this as a moderately favorable price rather than a confirmed opportunity. The rating gap and serve strength support Milavsky as the more likely winner, but his heavier recent workload versus Chan's fresh legs is a real counterweight the model doesn't fully price in.

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.

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