M. Dellavedova vs K. Ogura — prediction
Consistent bounce, medium-fast: neutral conditions, no style favored.
Surface feeds the model — surface specialization is one of its factors.
›Tour Elo: 1790 vs 1441 — favorite by rating
›ITF tier · 427 matches in the favorite's track record
›Elo estimate (not the ATP factor model): these are softer, less-analyzed markets
!Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.
The model makes M. Dellavedova the favorite with a 88% win probability, against K. Ogura's 12% — a conviction read: the model sees the match clearly leaning one way. Converted to odds, that probability is worth about @1.13; the offered odds are around @1.09 (a 92% implied), slightly below the market, so the model is a touch more cautious.
Several factors explain the number: 1790 vs 1441 — favorite by rating; itf tier · 427 matches in the favorite's track record; these are softer, less-analyzed markets.
Read it with caution. This number does NOT come from the ATP factor model, but from the tour's real Elo: it ranks who is the favorite well, but it is a coarser estimate. Being the favorite is not being the winner: roughly 12 out of every 100 times Ogura wins. And above all, in Challenger/ITF the value edge is not proven live, so treat it as a reference, not an opportunity. Watch out for: Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.. This is informational analysis, not a betting recommendation. 18+ · play responsibly.