S. Kraus vs S. Stephens — 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: #85 vs #240 (better ranked)
›Recent form: 1/10 in recent matches
›More rested: 23d vs opponent's 9d
!Returning from a long layoff (23d) — possible rustiness
The model makes S. Kraus the favorite with a 54% win probability, against S. Stephens's 46% — a tight match, without a wide margin. Converted to odds, that probability is worth about @1.86; the offered odds are around @1.72 (a 58% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: #85 vs #240 (better ranked); 1/10 in recent matches; 23d vs opponent's 9d.
Read it with perspective. Our probability is calibrated — when the model says 54%, 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 46 out of every 100 times Stephens 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.