F. Tiafoe vs V. Vacherot — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Humid air: the ball loses some speed.
Light wind: no noticeable effect.
Surface feeds the model (surface specialization is one of its factors). Weather and altitude are context we publish for you — they do NOT move the probability.
›Ranking: #12 vs #23 (better ranked)
›Recent form: 8/10 in recent matches
›On a streak: 2 wins in a row
›Match-sharp: 6 matches in the last 2 weeks
The model makes F. Tiafoe the favorite with a 67% win probability, against V. Vacherot's 33% — a solid favorite, though Vacherot keeps real chances. Converted to odds, that probability is worth about @1.50; the offered odds are around @1.47 (a 68% implied), virtually the same as what the market prices in.
Several factors explain the number: #12 vs #23 (better ranked); 8/10 in recent matches; 2 wins in a row; 6 matches in the last 2 weeks.
Read it with perspective. Our probability is calibrated — when the model says 67%, 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 33 out of every 100 times Vacherot 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. This is informational analysis, not a betting recommendation. 18+ · play responsibly.