You're viewing data from 13 Jul — today's update hasn't been published yet.
Challenger · ELO ESTIMATE · 2026-07-11

J. Fearnley vs A. Galarneau — prediction

Newport
✓ Correct
FEARNLEYWIN PROBABILITYGALARNEAU
55%
Elo prob.
@1.36
odds · 74% impl.
🌡26° · 61% hum🎾Serve 63%📈Form 7/10 · 3✓
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1857 vs 1824 — favorite by rating

Challenger tier · 158 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.
@1.83
fair odds
−25.6%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Fearnley●●
Fearnley leads by 33 Elo points (1857 vs 1824) and sits 62 spots higher in the rankings (125 vs 187).
Ranking trend▸ Fearnley●●
Fearnley's ranking is improving (-2) while Galarneau has dropped 32 spots, signaling diverging recent trajectories.
Serve/return= Even●●
Galarneau serves better (65% vs 63%), but Fearnley returns better (42% vs 38%) — the two edges largely cancel out.
Form▸ Galarneau
Both are 7-3 on a 3-match streak, but Galarneau's quality wins (Elo 1949, 1941) outrank Fearnley's best (Elo 1919).
Rest▸ Galarneau●●
Galarneau enters fresher with only 3 matches in the last 14 days versus Fearnley's 5, reducing cumulative fatigue.
Weather= Even
Warm, humid conditions (25°C, 60% humidity) with 12 km/h wind don't clearly favor either player's specific serve/return numbers.
Market value▸ Galarneau●●●
Model gives Fearnley 55% but the market prices him at 74% (odds 1.36), producing a -25.6% expected value — no edge here.
RATING AND RANKING GAP

Fearnley's edge in the Elo model (1857 vs 1824) and the ranking table (125 vs 187) reflects a real, if modest, quality gap at the Challenger level. His ranking trend (-2, moving up) also contrasts with Galarneau's 32-spot slide, suggesting Fearnley's recent results are translating into tangible ranking progress while Galarneau's have not.

This is the clearest structural factor favoring Fearnley in this matchup, though a 33-point Elo gap is not large enough to be decisive on its own, especially in a soft Challenger market where ratings carry more noise.

SERVE-RETURN BALANCE

The service numbers actually favor Galarneau: he wins 65% of service points compared to Fearnley's 63%. But Fearnley's return game is sharper, taking 42% of return points against Galarneau's 38% — a 4-point gap that slightly outweighs the 2-point serve difference.

Net effect: this category is close to a wash, with a marginal lean toward Fearnley because his return advantage is proportionally larger than Galarneau's serve edge.

FORM AND SCHEDULE LOAD

Both players arrive on identical 7-3, 3-match win streaks, so recent win/loss form is essentially neutral. The quality of wins tells a different story: Galarneau has beaten two higher-rated opponents (Elo 1949 and 1941) compared to Fearnley's single notable win (Elo 1919), suggesting Galarneau has performed better against strong competition recently.

Workload adds another wrinkle — Fearnley has played 5 matches in the last 14 days versus Galarneau's 3, even though both had just 1 day of rest before this match. Over a longer tournament stretch, that heavier recent workload could show up as reduced sharpness for Fearnley.

HONEST VALUE READ

The model gives Fearnley a 55% chance of winning, but the market (via odds of 1.36) implies a much higher 74% probability. That gap produces a expected value of -25.6%, meaning backing the favorite at this price is a clear negative-EV proposition by this model's estimate.

This is a soft Elo-based Challenger market, so the edge should not be over-interpreted in either direction — but the current pricing gives no value on Fearnley, and if anything the underlying signals (return numbers, quality wins, rest) are closer than the market suggests.

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 →