P. Llamas Ruiz vs L. Harris — 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.
Some wind: makes baseline control harder.
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: #126 vs #139 (better ranked)
›Model 54% vs market 41% → the model sees it as MORE likely than the odds
›Recent form: 4/10 in recent matches
›On a streak: 3 wins in a row
›Match-sharp: 3 matches in the last 2 weeks
The model makes P. Llamas Ruiz the favorite with a 54% win probability, against L. Harris's 46% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.86; the offered odds are around @2.45 (a 41% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #126 vs #139 (better ranked); model 54% vs market 41% → the model sees it as more likely than the odds; 4/10 in recent matches; 3 wins in a row.
Read it with perspective. Our probability is calibrated — when the model says 54%, 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 46 out of every 100 times Harris 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.