MODEL PREDICTION · 2026-10-07
● HARD

Cameron Norrie vs Dalibor Svrcina — prediction

✗ Missed
NORRIEWIN PROBABILITYSVRCINA
69%
model prob.
@1.58
odds · 63% impl.
⏱Rest 6d vs 2d◐Hard 55%📈Form 6/10 · 2✗
CONDITIONS OF THE MATCH◆ in the model◇ context
Surface◆
Hard

Consistent bounce, medium-fast: neutral conditions, no style favored.

Surface feeds the model — surface specialization is one of its factors.

OUR MODEL'S REASONING

›Ranking: #40 vs #126 (better ranked)

›Model 69% vs market 63% → the model sees it as MORE likely than the odds

›Recent form: 6/10 in recent matches

›More rested: 6d vs opponent's 2d

Calibrated model probability (~65% out-of-sample accuracy). Not a guarantee: the model ≈ the market on average, so the odds already capture almost all the edge. 18+ · gamble responsibly.
@1.46
fair odds
+8.4%
expected value
BREAKDOWN · MODEL ANALYSIS

The model makes Cameron Norrie the favorite with a 69% win probability, against Dalibor Svrcina's 31% — a solid favorite, though Svrcina keeps real chances. Converted to odds, that probability is worth about @1.46; the offered odds are around @1.58 (a 63% implied), slightly above the market, so the model is a touch more optimistic.

Several factors explain the number: #40 vs #126 (better ranked); model 69% vs market 63% → the model sees it as more likely than the odds; 6/10 in recent matches; 6d vs opponent's 2d.

Read it with perspective. Our probability is calibrated — when the model says 69%, 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 31 out of every 100 times Svrcina 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.

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