Challenger · ELO ESTIMATE · 2026-07-19

J. Fearnley vs R. Bertolaprediction

Bloomfield Hills
Result pending
FEARNLEYWIN PROBABILITYBERTOLA
63%
Elo prob.
@1.33
odds · 75% impl.
Rest 7d vs 5d🎾Serve 63%📈Form 7/10 · 5✓
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1881 vs 1790 — favorite by rating

Challenger tier · 160 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.
@1.59
fair odds
−16.3%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Fearnley●●●
Fearnley's 1881 Elo and No.159 ranking beat Bertola's 1790/No.268, backing the model's 63% baseline, though Fearnley's ranking trend is -36.
Form▸ Fearnley●●●
Fearnley is on a 5-match win streak (LWLWLWWWWW) with a win over Michelsen (Elo 1906); Bertola has lost 3 straight (WWWWLWWLLL).
Serve/return▸ Fearnley●●
Fearnley's serve (63%) tops Bertola's return (35%) by 28 pts, a bigger gap than Bertola's serve (65%) over Fearnley's return (42%, 23-pt gap).
Rest▸ Bertola●●
Bertola played only 2 matches in the last 14 days vs Fearnley's 5, giving him fresher legs despite 2 fewer rest days (5 vs 7).
CLASS GAP

Fearnley holds a clear rating edge, 1881 to 1790 in Elo, and sits nearly 110 spots higher in the rankings (159 vs 268). That gap underlies the model's 63% baseline probability for him in this match.

Still, his ranking trend of -36 signals recent slippage, a detail that tempers how much weight the raw rating gap should carry on its own.

MOMENTUM SWING

Fearnley arrives red-hot, riding a 5-match win streak (LWLWLWWWWW) that includes a notable result over A. Michelsen, whose Elo (1906) is actually higher than his own. That's a meaningful quality win to anchor the form narrative.

Bertola is trending the opposite way, having dropped his last 3 matches (WWWWLWWLLL) after an earlier hot stretch. The contrast in trajectory adds a layer of support to Fearnley beyond what the static ratings show.

SERVE BATTLE

Both players serve well, but the cross-matchup numbers tilt toward Fearnley. His 63% serve-point win rate against Bertola's 35% return win rate produces a 28-point gap in his favor on his own service games.

Bertola's own serve (65%) against Fearnley's return (42%) yields a smaller 23-point gap. The asymmetry suggests Fearnley should have a slightly easier time holding than Bertola does, a modest but real edge in a tight match.

FATIGUE FACTOR

Bertola enters fresher in terms of workload: just 2 matches in the last 14 days compared to Fearnley's 5. Even though Fearnley has had 2 extra days since his last match (7 vs 5), the cumulative match load could matter more than the immediate rest gap.

This is a modest factor working against the favorite, potentially offsetting some of his form and level advantages if the match extends into a third set.

VALUE CHECK

The model gives Fearnley a 63% chance to win, but the market, via 1.31 odds, implies 76%. That gap produces a -17.6% expected value on the favorite at this price, meaning the market is pricing him shorter than the model's estimate justifies.

This is a Challenger-level Elo estimate, a softer, less-scrutinized market than tour-level pricing, so any edge here is unproven rather than a clear opportunity. Favorite status does not equal value: on these numbers, backing Fearnley at 1.31 is not supported by the model.

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 →