Challenger · ELO ESTIMATE · 2026-07-20

J. Monday vs J. Boulaisprediction

Winnipeg
✓ Correct
MONDAYWIN PROBABILITYBOULAIS
62%
Elo prob.
@1.55
odds · 65% impl.
Rest 10d vs 3d🎾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
−3.9%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Monday●●●
85-point Elo edge (1780 vs 1695) and a top-250 ATP ranking (224, unranked opponent) mark Monday as the stronger player.
Serve/return▸ Boulais●●
Boulais holds serve at 65% and returns at 36%, both slightly above Monday's 64% serve and 32% return.
Rest▸ Monday●●
Monday has 10 days' rest and 3 matches in 14 days; Boulais has just 3 days' rest after 5 matches, risking fatigue.
Form▸ Monday
Monday is 5-5 over his last 10 vs Boulais's 4-6, though both are on a 1-match losing streak.
Schedule congestion▸ Monday●●
Boulais reached the Granby quarterfinals just 3 days ago, adding physical load on top of his short turnaround.
CLASS GAP

The Elo models put clear daylight between the two: Monday's 1780 rating versus Boulais's 1695 is an 85-point edge, translating into a 62% win probability for the favorite. Monday also carries an ATP ranking (224) while Boulais has none on file, reinforcing that Monday is the more established tour-level player, at least on paper.

This gap is the single biggest driver of the favorite tag here, but at the Challenger level Elo is a softer signal than on the main tour — it reflects broad quality more than fine-grained matchup detail.

SERVE VS RETURN SPLIT

The service and return numbers tell a more balanced story than the Elo gap suggests. Boulais actually wins slightly more service points (65% to 64%) and considerably more return points (36% to 32%) than Monday. That 4-point return edge is notable — it suggests Boulais is the sharper ball-striker off both sides of the ball in these specific metrics, even if his overall level trails on Elo.

This split matters because it tempers the size of Monday's edge: raw shot-quality data doesn't move as clearly in his favor as the rating gap implies.

FATIGUE FACTORS

Rest strongly favors Monday. He arrives with 10 days since his last match and only 3 matches in the past two weeks, while Boulais has played 5 matches in that span and is back on court just 3 days after his last outing — a compressed schedule that can blunt legs and focus, especially in a best-of-three Challenger grind.

Compounding this, Boulais reached the quarterfinals in Granby only three days ago, meaning he absorbed a deep tournament run right before this match. Combined with his short rest window, this is a tangible physical-load concern working against him.

RECENT FORM

Both players are on one-match losing streaks, but their broader 10-match samples diverge: Monday is 5-5, Boulais is 4-6. Neither trend is dominant, and with no listed quality wins for either side, form is a mild tailwind for Monday rather than a major differentiator.

VALUE READ

The model gives Monday a 62% chance to win, while the market prices him at 65% (odds of 1.55), producing a negative expected value of -3.9%. That means the market is already slightly more confident in Monday than our estimate — there is no mispricing to exploit here, and the numbers suggest the market is fairly efficient on this one.

Being the favorite is not the same as offering value: Monday looks like the more probable winner given his Elo, rest advantage, and Boulais's recent physical load, but backing him at the current price is a bet against a negative-EV number, not a value opportunity. This is also a soft Challenger market, so both model and market estimates should be treated with appropriate caution.

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.

Analyze today's matches →