ITF · ELO ESTIMATE · 2026-07-24

T. Compagnucci vs S. Sorgerprediction

M25 Ollersbach
✓ Correct
COMPAGNUCCIWIN PROBABILITYSORGER
62%
Elo prob.
@1.80
odds · 56% impl.
H2H 0–1 Compagnucci🎾Serve 57%📈Form 6/10 · 2✓
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1746 vs 1660 — favorite by rating

ITF tier · 300 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.
@1.61
fair odds
+11.8%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Compagnucci●●●
Elo gap of 86 points (1746 vs 1660) drives the 62% model probability, close to the market's 60% implied line.
Head-to-head▸ Sorger
Sorger won the only prior meeting (2024), but a single match offers limited predictive signal.
Form▸ Sorger
Sorger's last 10 shows 7 wins to Compagnucci's 6, a marginal recent-form edge despite matching 2-match streaks.
Rest= Even
Both players had 1 day of rest and 2 matches in the last 14 days — no fatigue differential.
Serve/return▸ Compagnucci●●
Compagnucci holds serve at 57% and wins 45% of return points, a balanced profile the model weighs in his favor.
ELO ADVANTAGE

Compagnucci's 1746 Elo sits 86 points above Sorger's 1660, translating into a 62% win probability for the favorite. That gap is the single largest input behind the model's lean, though in ITF-tier tennis this rating differential is a softer signal than on tour, since fewer matches and less data feed the Elo curve.

The model's 62% is close to the market's implied 60%, meaning the market has largely priced in the same rating edge. This is not a case of the model spotting something the market missed — it's broad agreement.

HEAD-TO-HEAD CAUTION

The two have met once, in 2024, with Sorger winning. That result works against the favorite, but a single match at this level carries limited weight — surface, form, and conditions from that encounter aren't specified, so it shouldn't be read as a reliable trend.

FORM AND SERVE PROFILE

Recent form is close but tilts slightly toward Sorger, who has gone 7-3 in his last 10 versus Compagnucci's 6-4; both are riding 2-match winning streaks, so momentum is not a clear differentiator.

Compagnucci's own numbers — 57% of service points won and 45% on return — describe a solid, complete game, and support the model's lean toward him even without comparable return/serve data for Sorger to set against it directly.

RESEST AND SCHEDULE

Both players are in identical situations: one day since their last match and two matches over the past two weeks. There is no rest or fatigue edge here — this factor is neutral for the outcome.

VALUE READ

At odds of 1.68, the market implies 60%, versus the model's 62%, for a modest 4.3% expected value. That's a thin edge, and in this Elo-based ITF/Challenger context the method is a soft market estimate — not a validated predictive tool.

Being the favorite doesn't mean Compagnucci is the likely straightforward winner; a 62% probability still leaves real room for an upset, especially given the head-to-head loss and Sorger's slightly better recent form. Treat this as a fair-priced match rather than a clear 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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