ITF · ELO ESTIMATE · 2026-07-08

T. Sahtali vs N. Robertprediction

M15 Monastir 26
✗ Missed
SAHTALIWIN PROBABILITYROBERT
81%
Elo prob.
@1.38
odds · 72% impl.
Rest 5d vs 7d📈Form 7/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1652 vs 1405 — favorite by rating

ITF tier · 120 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.
@1.24
fair odds
+11.3%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Sahtali●●●
Elo gap of 247 points (1652 vs 1405) makes Sahtali the clear favorite, though ITF-tier ratings are less reliable than tour data.
Form▸ Sahtali●●●
Sahtali's 7-3 last10 (one-match skid) contrasts with Robert's 6-match losing streak, a sharp momentum gap favoring Sahtali.
Rest▸ Robert
Robert has 7 days since his last match versus Sahtali's 5, and fewer matches in the last 14 days (2 vs 3), a small recovery edge.
Market Value▸ Sahtali●●
Odds of 1.38 imply 72% versus the model's 81%, producing an 11.3% EV edge, though soft ITF Elo markets make this unproven.
LEVEL GAP

The 247-point Elo gap (1652 for Sahtali vs 1405 for Robert) is the single biggest driver of this line. In an ITF setting, that spread typically translates into a lopsided expectation on serve and return points across a match, and it's consistent with the model's 81% favorite probability. That said, this is a Challenger/ITF Elo estimate rather than the fuller ATP factor model, so the rating itself should be treated as a reasonable but soft signal rather than a precise measurement of true skill.

MOMENTUM SWINGS

Recent form reinforces the level gap rather than offsetting it. Sahtali is 7-3 over his last ten matches, with only a single-match dip on his current run, while Robert has lost six straight and shows just two wins in his last ten. That kind of losing streak often reflects deeper issues — confidence, conditioning, or matchup problems — that can compound against a rated favorite like Sahtali, even though no specific quality wins are logged for either player here.

RECOVERY EDGE

Rest data offers a small counterweight. Robert has had seven days since his last match compared to Sahtali's five, and he's played only two matches in the past two weeks against Sahtali's three. On paper this gives Robert marginally fresher legs, but the gap is minor and unlikely to offset the far larger differences in level and current form.

VALUE READ

The model prices Sahtali at 81% to win, above the market's implied 72% from odds of 1.38, generating a stated 11.3% expected value. That's a real gap on paper, but it comes from a Challenger/ITF Elo model — a soft market where mispricing is common but genuine, repeatable edge is unproven. Being the favorite here does not automatically mean value; treat the 11.3% figure as an estimate to weigh against the market rather than a guaranteed opportunity, and remember the model is only approximating what the market already reflects most of the time.

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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