ITF · ELO ESTIMATE · 2026-07-15

J. Charlton vs M. Hulmeprediction

M25 Brisbane
✗ Missed
CHARLTONWIN PROBABILITYHULME
51%
Elo prob.
@1.59
odds · 63% impl.
📈Form 5/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1496 vs 1492 — favorite by rating

ITF tier · 113 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.
@1.97
fair odds
−19.5%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Charlton●●
Tour Elo 1496 vs 1492 is nearly even, giving Charlton just a 51%-49% edge — essentially a coinflip.
Form▸ Charlton
Charlton's last10 (WLWLWLWLLW) shows 6 wins in 10 with a modest 1-match streak — solid but unspectacular.
Rest= Even
13 days since Charlton's last match and only 1 in the last 14 days means limited recent match rhythm, with no opponent data to compare.
Value▸ Hulme●●●
Odds of 1.59 imply 63% for Charlton, well above the model's 51% — a -19.5% expected value, no edge on the favorite.
ELO EDGE

The Elo gap between Charlton (1496) and Hulme (1492) is minimal, translating to a 51%-49% split that is essentially a coinflip rather than a clear favorite scenario.

This is an ITF-tier match with 113 career matches logged for Charlton, but the rating difference itself carries little predictive weight given how close the two numbers sit.

FORM AND RHYTHM

Charlton's last10 record (WLWLWLWLLW) shows six wins in ten matches and a live one-match win streak, suggesting competent but inconsistent recent form rather than dominant momentum.

With only 13 days since his last outing and just one match played in the past two weeks, Charlton arrives with limited recent match sharpness — not necessarily a negative, but a factor of uncertainty since no comparable rest data exists for Hulme.

VALUE READ

The market prices Charlton at an implied 63% to win, while the Elo-based model puts him at just 51% — a substantial 12-point gap that produces a -19.5% expected value on the 1.59 odds.

Being the favorite here does not mean the price is fair: the model sees this as a near-even contest, and backing Charlton at this line means paying for a much larger edge than the data supports. Given the soft nature of Challenger/ITF markets and the absence of surface, serve, or head-to-head data to sharpen the read, this should be treated as an unproven estimate, not a value opportunity.

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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