Challenger · ELO ESTIMATE · 2026-07-21

J. Monday vs J. Boulaisprediction

Winnipeg
✓ Correct
MONDAYWIN PROBABILITYBOULAIS
62%
Elo prob.
@1.66
odds · 60% impl.
Rest 11d vs 4d🎾Serve 64%📈Form 5/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1780 vs 1695 — favorite by rating

Challenger tier · 171 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.
@1.61
fair odds
+2.9%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Monday●●●
Monday leads by 85 Elo points (1780 vs 1695) and holds an ATP ranking (224) the opponent lacks.
Serve/return▸ Boulais
Boulais's serve (65%) and return (36%) both slightly top Monday's (64%, 32%) — a marginal statistical edge.
Rest▸ Monday●●
Monday had 11 days off with 3 matches in 14 days, versus Boulais's 4 days rest and 5 matches — less fatigue.
Form▸ Monday
Monday is 5-5 over his last 10 vs Boulais's 4-6, though both are on a current 1-match losing streak.
Deep-run fatigue▸ Monday
Boulais reached the Granby quarterfinals only 4 days ago, adding physical load on top of his tighter turnaround.
RATING GAP

The clearest separation between these two players is the Elo gap: 1780 for Monday against 1695 for Boulais, an 85-point advantage that translates into the model's 62% win probability. Monday also carries an ATP ranking (224) while Boulais has none listed, reinforcing that Monday is the more tour-established player at this level.

This is a Challenger-tier Elo read, which the data itself flags as a softer, less-analyzed market than the ATP main-tour model. The rating gap is real but should be treated as a rough estimate of relative level rather than a precise probability.

SERVE VS RETURN NUANCE

Interestingly, the underlying serve and return percentages do not track the Elo gap. Boulais holds a slightly better hold rate (65% vs 64%) and a notably better return number (36% vs 32%) than Monday. On these specific numbers, Boulais looks marginally sharper in the core mechanics of a point.

This creates some tension with the Elo-based favorite tag: Monday's overall rating edge is not obviously explained by his serve/return output in this dataset. It suggests the market's confidence in Monday rests more on broader résumé and ranking than on a clear stylistic mismatch.

SCHEDULE LOAD

Rest strongly favors Monday. He arrives with 11 days since his last match and only 3 matches in the last 14 days, while Boulais has played 5 matches in the same window and had just 4 days to recover. That workload gap typically shows up in reduced physical sharpness over a best-of-three or five-set match.

Adding to this, the context flag notes Boulais reached the quarterfinals in Granby only 4 days ago — a deep run that compounds his heavier recent schedule. This is descriptive context, not a quantified factor, but it aligns with the rest numbers in pointing toward a fresher Monday.

RECENT FORM

Form is close but tilts slightly to Monday: 5 wins in his last 10 matches versus 4 for Boulais. Both players, however, are currently riding a 1-match losing streak, so neither arrives with real momentum.

Given the small sample and shared negative streak, form should be read as a minor tiebreaker rather than a decisive input.

VALUE READ

The model gives Monday 62% versus a market-implied 60% at odds of 1.66, producing a modest 2.9% expected value. That is a small gap, and the method itself is an Elo estimate for a Challenger match — a soft, less liquid market where edge is unproven rather than confirmed.

Practically, this means Monday is the deserved favorite on rating, rest, and recent form, but the pricing gap to the market is thin. Being the favorite here is not the same as having a strong value bet — treat the 2.9% edge as a rough signal, not a reliable profit expectation.

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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