HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Feldbausch●●●
Elo favors Feldbausch (1874 vs 1770, 65% model prob), though Mayot's ATP rank (160) beats Feldbausch's (284), whose ranking is falling (-22).
Serve/return▸ Feldbausch●●●
Feldbausch holds a serve edge (63% vs 60%) and a much larger return edge (47% vs 36%), suggesting control on both sides of the ball.
Form▸ Feldbausch●●
Feldbausch's 6-4 last10 with a win over 1904-Elo Vallejo tops Mayot's 4-6 stretch, which has no quality wins.
Rest= Even●
Feldbausch has two more rest days (5 vs 3) but has played one more match in 14 days (5 vs 4), offsetting the recovery gap.
Schedule context▸ Feldbausch●
Mayot reached the Zug quarterfinals just 3 days ago, adding physical load; context only, no magnitude implied.
LEVEL AND FORM
Feldbausch's Elo rating (1874) sits well above Mayot's (1770), and the model's 65% probability reflects that gap. Yet the ranking picture complicates the read: Mayot is ranked 160, comfortably ahead of Feldbausch's 284, and Feldbausch's ranking trend is negative (-22), meaning his real-world results have softened even as his Elo stays elevated.
Recent form supports the Elo view more than the ranking one. Feldbausch is 6-4 in his last ten with a notable win over a 1904-Elo opponent (Vallejo), while Mayot is 4-6 with no quality wins listed. Both are on a one-match losing streak, so neither arrives with pure momentum, but Feldbausch's underlying results carry more weight.
SERVE AND RETURN
The service and return numbers align consistently with Feldbausch. His 63% serve-points-won rate edges Mayot's 60%, a modest but real advantage in a tier where matches are often decided by a handful of points. The bigger gap is on return: Feldbausch wins 47% of return points against Mayot's 36%, an 11-point difference that suggests Feldbausch is far more capable of breaking or at least pressuring Mayot's service games than the reverse.
Because this return gap is larger than the serve gap, the data points to Feldbausch controlling more of the rally initiation in this match — not just holding serve, but generating the extra pressure that can turn tight Challenger-level sets.
SCHEDULE AND FATIGUE
On paper, Feldbausch has slightly fresher legs by days off (5 vs 3), but he has also played one more match in the last two weeks (5 vs 4), so the rest comparison is close to a wash rather than a clear advantage.
The more relevant note is contextual: Mayot played a quarterfinal in Zug just three days ago. That is evidence of recent physical load on his side, not a quantified probability shift, but it is worth factoring in qualitatively alongside the numbers above.
VALUE READ
The model gives Feldbausch a 65% chance to win, while the market (via 1.30 odds) implies 77% — a meaningfully higher number. That gap produces an expected value of -16.1%, meaning this line does not represent value under the model's own estimate; the market is pricing Feldbausch as a stronger favorite than the Elo-based method does.
This is a Challenger-level Elo estimate, a softer market where mispricings are less proven than on the main tour. Combined with the negative EV, the honest read is that Feldbausch is the more likely winner on paper, but backing him at these odds is not supported as a value opportunity — model ≈ market here, and in this case the market is actually pricing him higher than the model does.
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.