A. Tabilo vs T. Torres — prediction
›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
!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.
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.
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.
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.
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.