ITF · ELO ESTIMATE · 2026-07-08

M. Dellavedova vs H. Koyamaprediction

M15 Tokyo 4 (Japan)
✓ Correct
DELLAVEDOVAWIN PROBABILITYKOYAMA
87%
Elo prob.
@1.09
odds · 92% impl.
H2H 1–0 DellavedovaRest 3d vs 8d📈Form 9/10 · 6✓
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1788 vs 1456 — favorite by rating

ITF tier · 407 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.
@1.15
fair odds
−5.1%
expected value
HOW EACH FACTOR MATTERS
Level (Elo)▸ Dellavedova●●●
332-point Elo gap (1788 vs 1456) is the largest single edge, reflecting a much stronger overall track record.
Form▸ Dellavedova●●●
Dellavedova rides a 6-match win streak (WWWLWWWWWW) while Koyama has lost 5 straight (WLWWWLLLLL).
Rest▸ Koyama●●
Dellavedova played 9 matches in 14 days vs Koyama's 8-day rest and just 1 match, raising fatigue risk for the favorite.
Head-to-head▸ Dellavedova
Only 1 prior meeting, won by Dellavedova in 2026 — a small sample but a positive data point.
Value= Even●●
Market prices 92% (odds 1.09) vs the model's 87%, producing a -5.1% EV — no edge, slight overlay against the favorite.
ELO GAP

The 332-point Elo gap (1788 vs 1456) is the clearest structural advantage in this match, pointing to a large quality difference built up over each player's ITF track record. In Challenger/ITF tennis this kind of gap usually translates into a heavy favorite, and the model's 87% win probability for Dellavedova reflects that.

This is a soft market estimate, though — Elo at this level is less refined than tour-level models, so treat the number as a solid directional signal rather than a precise probability.

FORM AND MOMENTUM

Recent form reinforces the rating gap rather than contradicting it. Dellavedova is on a 6-match winning streak, while Koyama has dropped his last 5 in a row. That combination — one player building confidence, the other searching for a result — adds a psychological layer on top of the raw skill gap.

Momentum alone doesn't win matches, but combined with the Elo advantage, it makes a Dellavedova performance dip less likely than the raw rating gap alone would suggest.

WORKLOAD RISK

The rest split is the one factor that runs against the favorite. Dellavedova has played 9 matches in the last 14 days, a heavy load for the ITF circuit, while Koyama has had 8 days off and just 1 match in the same span. Physical freshness could matter if the match extends into a decider.

This doesn't flip the picture given the size of the Elo and form gaps, but it's a real, data-backed reason the match may be closer than the headline probability implies, especially in a longer contest.

VALUE READ

The model gives Dellavedova an 87% chance to win, but the market is even more confident at an implied 92% (odds of 1.09). That gap produces a -5.1% expected value on the favorite at this price — the market is not underestimating him, if anything it's pricing him slightly higher than the model does.

Being the favorite is not the same as being a value bet. With a soft, less-analyzed ITF market and Koyama's rest advantage in mind, there's nothing here that supports backing Dellavedova purely for edge — the numbers say a solid favorite at a fair-to-slightly-short price, not a mispriced 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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