HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Ivashka●●●
Elo gap of 1714 vs 1572 (142 points) is the model's main driver, pointing to a clear quality edge for Ivashka.
Form▸ Ivashka●●
Ivashka is 7-3 in his last 10 with a 2-match win streak; Jones is 4-6 with an active losing streak.
Rest▸ Jones●●●
Ivashka has just 1 day rest after a Pozoblanco final and 2 matches in 14 days; Jones rests 10 days.
Value (EV)= Even●●
Model gives Ivashka 69% vs market's 74% implied by 1.36 odds; expected value is -5.7%, a negative edge.
LEVEL GAP
Ivashka's Elo rating of 1714 sits 142 points above Jones's 1572, a substantial gap even within this softer Challenger-tier market. This differential is the single largest input behind the model's 69% probability for the favorite, reflecting a meaningful quality edge built over each player's respective track record (173 matches logged for Ivashka).
FORM AND MOMENTUM
Ivashka arrives in better recent shape, having won 7 of his last 10 matches and currently riding a 2-match win streak. Jones, by contrast, has dropped to 4-6 over the same span and sits on an active 1-match losing streak.
This momentum split reinforces the Elo-based gap rather than contradicting it, though form alone is not enough to overturn the rating difference — it simply adds a layer of confirmation.
FATIGUE AND SCHEDULE
The schedule tells a more complicated story. Ivashka played a final at Pozoblanco just one day before this match and has logged 2 matches in the last 14 days, a compressed turnaround that raises questions about physical freshness. Jones, meanwhile, has had 10 days of rest despite 4 matches in the same 14-day window — suggesting he arrives fresher even with rustier match rhythm.
These are context flags, not quantified probability shifts, but they represent a tangible risk for Ivashka: deep-run fatigue and short recovery time can erode a rating-based edge over the course of a match.
VALUE READ
The model assigns Ivashka a 69% win probability, but the market prices him higher at an implied 74% (odds of 1.36). That gap produces a -5.7% expected value — a negative edge, meaning the price does not compensate for the model's assessed risk.
Being the favorite is not the same as offering value, and in this case the numbers say the market is already ahead of the model. Given this is a soft Challenger/ITF Elo estimate — not the more rigorous ATP factor model — any perceived edge here should be treated as unproven rather than an actionable opportunity.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). Soft-market estimate: the value is unproven live. 18+ · gamble responsibly.