F. Jones vs J. Garland — 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: #104 vs #201 (better ranked)
›Hard specialist: performs +6% above baseline (44% career on the surface)
›Recent form: 10/10 in recent matches
›On a streak: 15 wins in a row
The model makes F. Jones the favorite with a 66% win probability, against J. Garland's 34% — a solid favorite, though Garland keeps real chances. Converted to odds, that probability is worth about @1.52; the offered odds are around @1.61 (a 62% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #104 vs #201 (better ranked); performs +6% above baseline (44% career on the surface); 10/10 in recent matches; 15 wins in a row.
Read it with perspective. Our probability is calibrated — when the model says 66%, that outcome happens roughly that percentage of the time, with ~64% out-of-sample accuracy — but being the favorite is not being the winner: roughly 34 out of every 100 times Garland 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.