ITF · ELO ESTIMATE · 2026-07-15

D. Kellovsky vs T. Lanikprediction

M15 Nova Gorica
✗ Missed
KELLOVSKYWIN PROBABILITYLANIK
78%
Elo prob.
@1.71
odds · 58% impl.
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1600 vs 1382 — favorite by rating

ITF tier · 202 matches in the favorite's track record

Elo estimate (not the ATP factor model): these are softer, less-analyzed markets

WATCH FOR

!Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.

Tour Elo estimate (Challenger/ITF markets, not covered by the factor model). The value edge here is unproven live — it's a reference, not a recommendation. 18+ · gamble responsibly.
@1.28
fair odds
+33.1%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Kellovsky●●●
Elo gap 1600 vs 1382 gives Kellovsky a 78% model probability, the clearest edge in this ITF matchup.
Form▸ Kellovsky●●
Lanik's last10 is LLLWLLLLWL, just two wins and a current skid, undermining his match sharpness.
Rest▸ Lanik
Lanik has had 20 days off with zero matches in the last 14 days, giving him extra recovery time despite his slump.
Value/Market= Even●●
Model shows 78% vs market's 58% implied (EV +33.1%), but Elo-based ITF markets are soft and this edge is unproven.
LEVEL GAP

The 218-point Elo gap (1600 vs 1382) is the single largest driver of this forecast, placing Kellovsky's win probability at 78%. In ITF-level tennis, a gap of this size typically reflects a meaningful difference in consistency and shot quality built up over the 202 matches in Kellovsky's tracked history, though the model itself is a rating estimate rather than a detailed skill breakdown.

No surface, serve, or return numbers are available for either player, so this rating gap effectively carries the entire analytical weight of the forecast.

FORM AND RUST

Lanik's recent form is a clear concern: his last10 reads LLLWLLLLWL, an active losing stretch with only two wins in ten matches and a current streak of -1. That kind of run typically signals shaky rhythm and confidence, which compounds the gap already implied by the Elo ratings.

Working in the other direction, Lanik has had 20 days since his last match and no matches in the past 14 days. Extended rest can sometimes help a player reset after a poor run, but with no recent match data to confirm sharpness, this factor is speculative and only mildly offsets his poor form.

VALUE READ

The model prices Kellovsky at 78% against a market-implied 58% (odds 1.71), producing a raw expected value of +33.1%. On paper that looks like a substantial edge, but this comes from an Elo-based method applied to a soft Challenger/ITF market, where pricing is less efficient and the model's edge over the market is unproven in practice.

Being the favorite here is not the same as being a value bet with a proven track record. The underlying signals — a real Elo gap and a documented losing streak for the opponent — support Kellovsky as the more likely winner, but bettors should treat the +33.1% EV figure as a rough estimate rather than a confirmed 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.

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