M. Bouzkova vs E. Jacquemot — prediction

The model makes M. Bouzkova the favorite with a 75% win probability, against E. Jacquemot's 25% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.33; the offered odds are around @1.10 (a 91% implied), slightly below the market, so the model is a touch more cautious.

Several factors explain the number: #26 vs #113 (better ranked); 1-1 even; model 75% vs market 91% → the model sees it as less likely than the odds; 5/10 in recent matches.

Read it with perspective. Our probability is calibrated — when the model says 75%, 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 25 out of every 100 times Jacquemot 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.