ATP · ELO ESTIMATE · 2026-07-22

A. Tabilo vs T. Torresprediction

✗ Missed
TABILOWIN PROBABILITYTORRES
75%
Elo prob.
@1.11
odds · 90% impl.
Rest 4d vs 2d🎾Serve 60%📈Form 4/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1923 vs 1733 — favorite by rating

ATP qualifying / early round · 330 matches in the favorite's track record

Elo estimate (not the ATP factor model): qualifying draws have no clean main-tour history

WATCH FOR

!Qualifying/soft context: Elo estimate only — read the round context (already-through, lucky loser, dead rubber) from the dossier; it is not a proven edge.

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.
@1.33
fair odds
−16.9%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Tabilo●●●
Tabilo's 1923 Elo and No. 31 ranking dwarf Torres's 1733 Elo, a 190-point gap that models a clear class edge.
Form▸ Torres●●
Torres is 7-3 in his last 10 with a current 1-match win streak, while Tabilo is 4-6 and on a 1-match losing skid.
Rest▸ Torres●●
Tabilo played a Bastad semifinal just 4 days ago (2 matches in 14 days) versus Torres's fresher 2-day turnaround, adding fatigue risk.
Serve/return▸ Tabilo●●
Tabilo's 60% serve-points-won rate sits 13 points above his 47% baseline, showing a serve that should hold up against Torres.
Odds/Value▸ Torres●●●
Market prices Tabilo at 88% implied probability (odds 1.13) versus the model's 75%, producing a -15.3% expected value — no edge despite favorite status.
CLASS GAP

The Elo differential of 1923 to 1733 is the largest single signal in this match, translating into Tabilo's 75% model probability. Combined with his No. 31 ATP ranking against an unranked or unlisted Torres, the rating gap is the primary reason he is favored, independent of recent results.

This gap reflects long-term level, not current form, so it should be weighted as a baseline expectation rather than a guarantee for this specific match.

FORM VS FATIGUE

Recent form actually tilts toward Torres, who is 7-3 in his last 10 matches and riding a 1-match win streak, compared to Tabilo's 4-6 record and a current losing streak. This narrows the practical gap suggested by the Elo numbers alone.

Schedule congestion compounds this: Tabilo reached the semifinals in Bastad just 4 days ago and has played 2 matches in the last 14 days, versus Torres's lighter 2-day rest and single match in that span. The deep-run fatigue flag on Tabilo is a real risk factor, though its exact magnitude is not quantifiable from the data.

SERVE PROFILE

The only concrete style numbers available belong to Tabilo: a 60% serve-points-won rate that outperforms his own 47% baseline by 13 points, indicating his delivery has been a reliable weapon recently. No comparable serve or return figures exist for Torres, so this factor can only be read as a positive marker for Tabilo rather than a direct head-to-head comparison.

VALUE READ

Despite the model favoring Tabilo at 75%, the market prices him even higher at an 88% implied probability (odds of 1.13), producing a expected value of -15.3%. This means that even if Tabilo is the more probable winner, backing him at this price does not represent value under this model.

Being the favorite and having betting value are not the same thing. Here, the market has moved further toward Tabilo than the model itself justifies, and with the soft Elo-based method used for this match, this discrepancy should be read as a caution rather than an 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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