J. Sperle vs T. Lanik — prediction
Slow court, high bounce: longer points, rewards whoever holds up from the baseline.
Surface feeds the model — surface specialization is one of its factors.
›Tour Elo: 1562 vs 1412 — favorite by rating
›ITF tier · 196 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 J. Sperle the favorite with a 70% win probability, against T. Lanik's 30% — a solid favorite, though Lanik keeps real chances. Converted to odds, that probability is worth about @1.42; the offered odds are around @1.44 (a 69% implied), virtually the same as what the market prices in.
Several factors explain the number: 1562 vs 1412 — favorite by rating; itf tier · 196 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 30 out of every 100 times Lanik 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.