MODEL PREDICTION · 2026-09-29
● HARD

Tommy Paul vs Alejandro Tabilo — prediction

✗ Missed
PAULWIN PROBABILITYTABILO
69%
model prob.
@1.41
odds · 71% impl.
⚔H2H 2–0 Paul⏱Rest 23d vs 4d◐Hard 66%🎾Serve 67%📈Form 7/10
CONDITIONS OF THE MATCH◆ in the model◇ context
Surface◆
Hard

Consistent bounce, medium-fast: neutral conditions, no style favored.

Surface feeds the model — surface specialization is one of its factors.

OUR MODEL'S REASONING

›Ranking: #16 vs #31 (better ranked)

›Head-to-head: 2-0 in favor

›Solid on Hard: 61% career on the surface

›Recent form: 7/10 in recent matches

›More rested: 23d vs opponent's 4d

WATCH FOR

!Returning from a long layoff (23d) — possible rustiness

Calibrated model probability (~65% out-of-sample accuracy). Not a guarantee: the model ≈ the market on average, so the odds already capture almost all the edge. 18+ · gamble responsibly.
@1.46
fair odds
−3.3%
expected value
BREAKDOWN · MODEL ANALYSIS

The model makes Tommy Paul the favorite with a 69% win probability, against Alejandro Tabilo's 31% — a solid favorite, though Tabilo keeps real chances. Converted to odds, that probability is worth about @1.46; the offered odds are around @1.41 (a 71% implied), virtually the same as what the market prices in.

Several factors explain the number: #16 vs #31 (better ranked); 2-0 in favor; 61% career on the surface; 7/10 in recent matches.

Read it with perspective. Our probability is calibrated — when the model says 69%, that outcome happens roughly that percentage of the time, with ~65% out-of-sample accuracy — but being the favorite is not being the winner: roughly 31 out of every 100 times Tabilo wins. The model also tends to agree with the market, so the odds already capture almost all the edge: don't take it as a sure value. Watch out for: Returning from a long layoff (23d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.

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