Gomez enters as the model's favorite on rating alone: 1726 Elo vs Bernet's 1639, an 87-point gap that produces a 62% implied win probability. This is a soft Challenger-tier Elo estimate rather than a full ATP factor model, so it reflects broad rating separation over time, not matchup-specific detail.

The individual serve/return numbers tell a different story than the rating gap. Bernet wins 66% of his own service points against Gomez's 60%, and on return he closes at 48% compared to Gomez's 30% — an 18-point return-game advantage. Being ahead on both serve and return is a strong signal, and it directly undercuts the case for Gomez as the on-court favorite.

Recent form also leans toward Bernet: he is 7-3 in his last 10 matches and riding a 3-match winning streak, while Gomez is 3-7 over the same stretch, only just snapping a longer slide with his most recent win. Rest is nearly even — both played 1 day ago — though Bernet has logged one more match in the last 14 days (3 vs 2), a small tax that offsets his form edge slightly.

Warm, dry conditions (29°C, 48% humidity, 7 km/h wind) tend to speed up the ball and favor the more effective server. Without surface or altitude data to confirm court speed, this is a secondary factor, but on the numbers available it leans mildly toward Bernet given his 66% service hold rate.

The market's 2.10 odds imply a 48% chance for Gomez, well below the model's 62%, producing a 30.6% EV figure. That gap comes from a soft, thinly-analyzed Challenger Elo estimate, not a proven pricing edge, and it sits in direct tension with the serve/return and form data, both of which favor Bernet. The honest read is that this is a contested match on the actual on-court indicators, and the EV number should be weighed against that conflict rather than treated as a reliable profit signal.