ITF · ELO ESTIMATE · 2026-07-08

I. Xilas vs L. Poertnerprediction

M25+H Kassel
✓ Correct
XILASWIN PROBABILITYPOERTNER
74%
Elo prob.
@1.40
odds · 71% impl.
🎾Serve 52%📈Form 2/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1664 vs 1478 — favorite by rating

ITF tier · 137 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.
@1.34
fair odds
+4.3%
expected value
HOW EACH FACTOR MATTERS
Level (Elo)▸ Xilas●●●
186-point Elo gap (1664 vs 1478) is the model's main driver, giving Xilas a 74% win probability at ITF level.
Serve/return▸ Xilas●●
Xilas holds 52% on serve and wins 42% of return points, a balanced profile with no data available for Poertner to compare.
Form▸ Poertner●●
Poertner's last 10 shows 4 wins (WLLLLWLWLW) versus Xilas's 2 wins (LLLLLLLWLW), suggesting sharper recent match rhythm for the opponent.
Rest= Even
Both players share identical rest: 6 days since last match and 2 matches in the last 14 days, so no fatigue edge either way.
Level (Elo) vs Market= Even●●
Model's 74% vs market's 71% implied probability yields only a 4.3% edge on a soft ITF market, a thin, unproven margin.
RATING GAP

The core signal in this match is the 186-point Elo differential between Xilas (1664) and Poertner (1478). At the ITF level, a gap of this size typically corresponds to a clear favorite, and it's the main reason the model assigns Xilas a 74% win probability. This is a rating-based edge, not a stylistic one, since no surface or head-to-head data exists to refine it further.

SERVE PROFILE

Xilas's own numbers show a 52% hold rate and 42% return-points-won, a moderate, balanced game rather than a dominant server or returner. Without any serve or return figures for Poertner, it's not possible to say whether this profile creates a specific tactical advantage — the comparison here rests on rating alone, not on a proven style mismatch.

RECENT FORM DIVERGE

Form actually cuts against the favorite: Poertner has won 4 of his last 10 matches (WLLLLWLWLW) compared to just 2 for Xilas (LLLLLLLWLW). Both are on a 1-match winning streak, so neither has strong current momentum, but the opponent's better recent conversion rate is a mild counterweight to the Elo gap.

Rest is a non-factor — both players are on identical schedules, 6 days since their last match and 2 matches in the past two weeks, so neither carries a fatigue advantage into this one.

VALUE READ

The model prices Xilas at 74% while the market (via 1.40 odds) implies about 71%, producing a modest 4.3% expected-value edge. This is a small margin built on an Elo estimate in a market tier the notes explicitly flag as 'soft' — Challenger/ITF markets are less liquid and less scrutinized, so this edge should be treated as an estimate, not a proven opportunity.

Being the favorite does not equal being undervalued: here the model is only marginally more confident than the market itself. Given the recent-form signal favoring Poertner, this is a case for caution rather than conviction if betting on the number alone.

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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