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Challenger · ELO ESTIMATE · 2026-07-10

M. Dodig vs R. Brancaccio — prediction

Trieste
✓ Correct
DODIGWIN PROBABILITYBRANCACCIO
58%
Elo prob.
@1.70
odds · 59% impl.
🌡29° · 52% hum🎾Serve 65%📈Form 5/10 · 2✓
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1781 vs 1724 — favorite by rating

Challenger tier · 217 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.
@1.72
fair odds
−1.2%
expected value
HOW EACH FACTOR MATTERS
Level (Elo)▸ Dodig●●●
Dodig's 1781 Elo tops Brancaccio's 1724 by 57 points, the model's main basis for making him favorite.
Serve/Return= Even●●
Serve numbers are almost identical (65% vs 64%), but Brancaccio's 38% return rate edges Dodig's 36%, balancing the exchange.
Rest/Schedule▸ Dodig
Both had 2 days off, but Brancaccio played 3 matches in 14 days vs Dodig's 2, adding slight extra fatigue.
Form▸ Dodig
Dodig is 5-5 in his last 10 vs Brancaccio's 4-6; both arrive on identical 2-match win streaks.
Weather▸ Dodig
Warm, dry conditions (29°C, 52% humidity) speed up the ball, a marginal plus for Dodig's slightly higher 65% serve rate.
Market Value= Even●●
Model gives Dodig 58% vs market's 59% implied probability; EV is -1.2%, showing no real edge.
ELO EDGE

Dodig's rating advantage (1781 vs 1724) is the clearest signal in this match, a 57-point gap that in Challenger-level Elo typically translates into a moderate favorite status rather than a lock. This is a soft market estimate, not a fully validated model, so the gap should be read as directional rather than precise.

Nothing else in the data set — no surface, no head-to-head, no altitude — reinforces or contradicts this rating gap, so it stands as the single dominant input behind the 58% probability assigned to Dodig.

SERVE VS RETURN

The serving numbers are close enough to be a wash: Dodig holds at 65% on serve, Brancaccio at 64%, essentially interchangeable. Where the match tilts slightly is on return, where Brancaccio's 38% conversion rate beats Dodig's 36%, suggesting he extracts marginally more free points off the other's delivery.

This means the service games should be tightly contested on both sides, and the outcome may hinge on which player converts break chances more efficiently in the moments that matter, something these percentages alone can't fully predict.

FORM AND FATIGUE

Recent form slightly favors Dodig, who is 5-5 over his last 10 matches compared to Brancaccio's 4-6, though both enter on identical two-match winning streaks, so neither has clear momentum superiority. The workload split is a mild factor too: Brancaccio has played three matches in the last two weeks against Dodig's two, a small additional physical load that could matter if the match extends to a deciding set.

None of these edges is large individually, but stacked together they nudge slightly in Dodig's favor without being decisive on their own.

CONDITIONS

The forecast — warm and dry at 29°C with 52% humidity and 13 km/h wind — tends to speed up ball flight and reward the cleaner server. Since Dodig's 65% serve rate is marginally ahead of Brancaccio's 64%, these conditions offer him a small incremental benefit, though the gap is too thin to call decisive.

VALUE READ

The model's 58% probability for Dodig lines up closely with the market's implied 59%, and the resulting expected value is -1.2%. This is a case where being the favorite does not equal having value: the market has essentially priced this correctly, or slightly better than the model does.

Given this is a Challenger-tier Elo estimate — a softer, less-scrutinized market — the small negative EV should be treated as inconclusive rather than a signal to avoid the bet outright. There's no statistical edge here, just a fair reflection of Dodig's rating advantage already baked into the 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.

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