MODEL PREDICTION · 2026-07-20

D. Vallejo vs K. Feldbauschprediction

✗ Missed
VALLEJOWIN PROBABILITYFELDBAUSCH
74%
model prob.
@1.52
odds · 66% impl.
H2H 0–1 Vallejo🌡21° · 52% hum760 m altitudeRest 2d vs 1d🎾Serve 63%
THE MODEL'S REASONING

Ranking: #71 vs #262 (better ranked)

Recent form: 5/10 in recent matches

Match-sharp: 4 matches in the last 2 weeks

Model 74% vs market 66% → the model sees it as MORE likely than the odds

WATCH FOR

!Played a long match (3 sets) very recently — possible fatigue

Calibrated model probability (~65% out-of-sample accuracy). Not a guarantee: the model ≈ the market on average, so the odds already capture almost all the edge. 18+ · gamble responsibly.
@1.35
fair odds
+12.4%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Vallejo●●●
Vallejo is #71 vs #262, Elo 1918 vs 1871, giving him a 74% baseline model probability.
Head-to-head▸ Feldbausch
Feldbausch won the only prior meeting (2025), the lone concrete edge he holds over Vallejo.
Form▸ Feldbausch●●
Feldbausch is 7/10 with a 2-match win streak; Vallejo is 5/10 and currently on a 1-match losing streak.
Serve/return▸ Feldbausch●●
Both serve at 63%, but Feldbausch returns better (47% vs 40%), giving him the edge in the return battle.
Rest▸ Feldbausch
Vallejo has played 5 matches in 14 days vs Feldbausch's 3, adding more cumulative load despite one extra rest day.
Weather/Altitude= Even
Mild 20C, humid air and 760m altitude are modest; with identical 63% serve rates neither player gains a clear mechanical edge.
Value (model vs market)▸ Vallejo●●
Model sees 74% vs market's 68% implied probability at 1.48 odds, a 9.4% EV edge, though this remains model-based, not guaranteed.
LEVEL GAP

The core case for Vallejo is straightforward: a 191-point ranking gap (#71 vs #262) and an Elo edge of 1918 to 1871 translate into a 74% baseline probability from the model. This is a substantial quality difference on paper, and it is the single largest input driving the favorite tag.

However, ranking gaps of this size don't always show up cleanly on court, especially against an opponent who is playing with more recent confidence, as the form and H2H data below indicate.

RETURN BATTLE AND MOMENTUM

Both players serve at an identical 63%, which neutralizes any serve-based advantage and shifts the match's swing factor to return performance. Here Feldbausch holds a real edge, converting 47% of return points compared to Vallejo's 40% — a 7-point gap that suggests he breaks back more often and extends more service games.

This return advantage is reinforced by recent trajectory: Feldbausch is 7/10 over his last ten matches and riding a 2-match win streak, while Vallejo is just 5/10 and currently on a 1-match skid. Add in Feldbausch's win in their only previous meeting, and the surface-level ranking gap looks less commanding than it appears.

FATIGUE AND SCHEDULE LOAD

Both players are dealing with recent deep tournament runs (Vallejo reached the Bastad semifinal, Feldbausch the Kitzbuhel final within the last two days), so neither arrives fully fresh. But the raw workload favors Feldbausch slightly: Vallejo has played 5 matches in the last 14 days versus Feldbausch's 3, suggesting more accumulated physical wear even with one extra day of rest.

Mild conditions (20C, 61% humidity, 8 km/h wind) and a moderate 760m altitude are unlikely to meaningfully alter either player's game given their matching 63% serve rates — this is not a factor that tips the match either way.

VALUE READ

At odds of 1.48, the market already prices Vallejo as a substantial favorite (68% implied probability). The model's 74% estimate is higher, producing a modeled 9.4% expected value — a mild edge, not a lock. This is a calibrated ATP factor model with roughly 65% out-of-sample accuracy, so a gap of this size is worth noting but not overstating.

Given Feldbausch's better return numbers, superior recent form, and the H2H win, there are legitimate reasons the market isn't pricing Vallejo even higher. The value case rests on ranking and Elo separation being more predictive here than recent momentum — a reasonable but unproven bet, not a guaranteed profitable one.

Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.

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