K. Sebov vs J. Avdeeva — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Warm: the ball flies a little more and fitness counts.
Dry air: the ball travels normally.
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: #213 vs #185
›Model 67% vs market 54% → the model sees it as MORE likely than the odds
›Recent form: 6/10 in recent matches
›More rested: 21d vs opponent's 11d
!Returning from a long layoff (21d) — possible rustiness
The model makes K. Sebov the favorite with a 67% win probability, against J. Avdeeva's 33% — a solid favorite, though Avdeeva keeps real chances. Converted to odds, that probability is worth about @1.50; the offered odds are around @1.85 (a 54% implied), slightly above the market, so the model is a touch more optimistic.
Several factors explain the number: #213 vs #185; model 67% vs market 54% → the model sees it as more likely than the odds; 6/10 in recent matches; 21d vs opponent's 11d.
Read it with perspective. Our probability is calibrated — when the model says 67%, 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 33 out of every 100 times Avdeeva 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 (21d) — possible rustiness. This is informational analysis, not a betting recommendation. 18+ · play responsibly.