ITF · ELO ESTIMATE · 2026-07-15

M. Mikovic vs F. Fumagalliprediction

M15 Nova Gorica
✗ Missed
MIKOVICWIN PROBABILITYFUMAGALLI
51%
Elo prob.
@2.80
odds · 36% impl.
Rest 5d vs 19d📈Form 5/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1431 vs 1423 — favorite by rating

ITF tier · 38 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.
@1.95
fair odds
+43.4%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Mikovic
Elo gap is thin: 1431 vs 1423, just 8 points, giving Mikovic a 51% vs 49% model edge — near a coin-flip.
Form= Even
Both players sit at 5-5 in their last 10 matches with a single-match win streak — no discernible momentum edge.
Rest▸ Fumagalli●●
Fumagalli has 19 days rest and zero matches in 14 days vs Mikovic's 5 matches in 14 days, raising fatigue risk for Mikovic.
Value (Odds vs Model)▸ Mikovic●●
Model's 51% win probability for Mikovic tops the market's 36% implied figure, producing a +43.4% EV on his side.
RATING GAP

The Elo difference between Mikovic (1431) and Fumagalli (1423) is just 8 points, translating to a 51%-49% split in the model — essentially a pick'em. At this level, such a small gap carries limited predictive weight and should not be read as a decisive edge for either player.

FORM COMPARISON

Both players enter with identical 5-5 records over their last 10 matches, each riding a single-match winning streak. Neither side shows a form advantage that would tilt the match beyond the baseline Elo numbers.

SCHEDULE AND FRESHNESS

Mikovic has played 5 matches in the last 14 days and returns on just 5 days of rest, which raises the possibility of accumulated fatigue heading into this match. Fumagalli, by contrast, has had 19 days off with no matches in the last two weeks — a scenario that offers physical freshness but also carries a risk of match rust after a long layoff.

Neither effect is quantified beyond these scheduling figures, so this factor should be treated as a moderate consideration rather than a strong directional signal.

VALUE READ

At odds of 2.8, the market implies a 36% win probability for Mikovic, while the model assigns him 51%, producing a stated +43.4% expected value. This is a notable gap, but it comes from an Elo-based estimate in a soft Challenger/ITF market where pricing is less efficient and the edge is unproven in practice.

Being the model's favorite does not equal being the likely winner, and a positive EV figure here should be read as a modest statistical lean rather than a confirmed opportunity. Treat this match as close to a true toss-up, with the value signal warranting only cautious weight.

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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