ITF · ELO ESTIMATE · 2026-07-08

A. Deckers vs U. Kambojprediction

M15 Hillcrest 2
✓ Correct
DECKERSWIN PROBABILITYKAMBOJ
72%
Elo prob.
@1.03
odds · 97% impl.
Rest 5d vs 6d📈Form 4/10
WHAT THE ESTIMATE IS BASED ON

Elo del circuito: 1602 vs 1435 — favorito por rating

Nivel ITF · 173 partidos de historial del favorito

Estimación por Elo (no el modelo de factores ATP): estos son mercados más blandos y menos analizados

WATCH FOR

!Mercado blando: el edge de valor en Challenger/ITF NO está probado en vivo — trátalo como estimación, no como oportunidad.

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.
@1.38
fair odds
−25.5%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Deckers●●●
Deckers' 1602 Elo sits 167 points above Kamboj's 1435, the model's core reason to install him as a clear favorite.
Form▸ Kamboj
Kamboj is 5-5 in his last 10 vs Deckers' 4-6, though both are on a 1-match losing streak right now.
Rest= Even
Both played 3 matches in the last 14 days; Kamboj has one extra day off (6 vs 5), a marginal edge only.
Market value= Even●●●
At 1.03 odds the market prices Deckers at 97%, well above the model's 72%, producing a -25.5% expected value on him.
ELO GAP

The 167-point Elo gap (1602 vs 1435) is the single biggest driver of this match projection, translating into a 72% win probability for Deckers. In ITF-level tennis this kind of rating gap usually reflects a real difference in shot quality and consistency built up over a much larger sample — Deckers' Elo is backed by 173 tour matches of history, giving the number some weight even in this soft-market segment.

Still, an Elo-based edge at this level is a soft-market estimate, not a hard, backtested signal — treat the 72% as a reasonable prior, not a certainty.

FORM SPLIT

Neither player is in good touch: Deckers is 4-6 in his last 10 with a current 1-match losing streak, while Kamboj is marginally better at 5-5 over the same span but also lost his last match. Neither side shows a quality win in the sample, so recent form is a wash that slightly tempers, rather than reinforces, the Elo-driven favoritism.

With no head-to-head data and no surface or serve/return splits available, form and Elo are effectively the only concrete performance inputs here, which limits how far this analysis can be pushed.

RECOVERY BALANCE

Rest is essentially a non-factor: Deckers has had 5 days since his last match and Kamboj 6, with both playing three matches in the past two weeks. The one-day difference is too small to meaningfully affect legs or focus in a best-of-3 ITF match.

VALUE READ

This is the most important section for anyone using the number, not just reading it. At odds of 1.03, the market is pricing Deckers at roughly 97% to win, while the model's Elo-based estimate puts him at 72%. That gap produces an expected value of -25.5%, meaning the price offers no compensation for the model's uncertainty even though Deckers is a legitimate favorite on rating.

Being the favorite is not the same as being a value play. Here the model actually sits well below the market's implied probability, and since Elo-based Challenger/ITF pricing is a soft-market estimate with unproven live edge, the honest read is to treat Deckers as the likely winner but not as a bet with value at this price.

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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