Challenger · ELO ESTIMATE · 2026-07-19

E. Aguiard vs S. Kirchheimerprediction

Winnipeg
✓ Correct
AGUIARDWIN PROBABILITYKIRCHHEIMER
64%
Elo prob.
@1.67
odds · 60% impl.
Rest 7d vs 5d📈Form 6/10 · 3✗
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1666 vs 1569 — favorite by rating

Challenger tier · 67 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.
@1.57
fair odds
+6.4%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Aguiard●●●
Elo gap (1666 vs 1569) backs a 64% win rate for Aguiard, edging the 60% market price, but this is a soft Challenger market.
Form▸ Kirchheimer●●
Aguiard has lost his last 3 (WWWWWLWLLL) while Kirchheimer dropped only his most recent match (WWWLWWLWWL), giving him the momentum edge.
Rest▸ Aguiard●●
Kirchheimer played 6 matches in 14 days on just 5 days rest, versus Aguiard's single match in 14 days and 7 days off — fatigue risk for the opponent.
Serve/return▸ Kirchheimer
Kirchheimer's 42% return-points-won is a strong number that can pressure any server, though Aguiard's own serve/return marks are not available to compare.
RATING AND MARKET GAP

The Elo model separates the two players by nearly 100 points (1666 vs 1569), translating into a 64% win probability for Aguiard against a 60% market-implied price — a modest 6.4% expected-value gap. This is a Challenger-level Elo estimate, not the fuller ATP factor model, so the edge should be read as an estimate rather than a proven mispricing.

At this level, with 67 matches in the favorite's Elo track record cited as the base, the rating gap is real but not commanding. It supports Aguiard as the more probable winner without suggesting a lopsided mismatch.

MOMENTUM SPLIT

Recent form cuts against the rating edge. Aguiard arrives having lost 3 straight (WWWWWLWLLL), a stretch that raises questions about current sharpness regardless of the Elo gap. Kirchheimer, by contrast, dropped just his last outing (WWWLWWLWWL) and has been more consistent over his last 10.

This divergence in recent trajectory is a real counterweight to the level gap — it doesn't overturn the rating advantage, but it tempers confidence in Aguiard entering this match in good touch.

SCHEDULE LOAD

The rest data favors Aguiard mechanically: he has played only 1 match in the last 14 days with 7 days since his last outing, arriving fresh. Kirchheimer has been on the court far more — 6 matches in 14 days on just 5 days of rest — a workload that typically shows up as reduced legs and slower recovery in the closing stages of a match.

This kind of accumulated match load is a tangible fatigue factor working in Aguiard's favor, separate from and complementary to his rating edge.

RETURN PRESSURE

Kirchheimer's own numbers show a serve win rate of 61% and, notably, a 42% return-points-won rate — a strong return mark that suggests he can trouble opposing servers. Since no serve or return percentages are available for Aguiard, this factor can only be read as a risk to whichever service games Aguiard holds, not as a full head-to-head comparison.

VALUE READ

Being the favorite here is not the same as holding a proven edge. The model's 64% is only 4 points above the market's 60%, producing a modest 6.4% expected value — within the range where an Elo-based Challenger estimate and the market are essentially in agreement rather than sharply diverging.

Add to that Aguiard's 3-match losing streak against Kirchheimer's fresher form and heavier recent workload, and the picture is mixed: the rating and rest data lean toward Aguiard, while recent momentum and Kirchheimer's return numbers lean the other way. This is a case for treating the price as roughly fair rather than a clear 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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