A. Fery vs J. Faria — 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: #36 vs #61 (better ranked)
›Recent form: 6/10 in recent matches
›More rested: 12d vs opponent's 2d
The model makes A. Fery the favorite with a 53% win probability, against J. Faria's 47% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.90; the offered odds are around @2.00 (a 50% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #36 vs #61 (better ranked); 6/10 in recent matches; 12d vs opponent's 2d.
Read it with perspective. Our probability is calibrated — when the model says 53%, 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 47 out of every 100 times Faria 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.