MODEL PREDICTION · 2026-07-14
CLAY

A. Pellegrino vs N. Budkov Kjaerprediction

Bastad
PELLEGRINOWIN PROBABILITYKJAER
56%
model prob.
@1.85
odds · 54% impl.
Rest 6d vs 19d🎾Serve 60%📈Form 6/10
CONDITIONS OF THE MATCHin the modelcontext
Surface
Clay

Slow court, high bounce: longer points, rewards whoever holds up from the baseline.

Temperature
25°C

Warm: the ball flies a little more and fitness counts.

Humidity
55%

Humid air: the ball loses some speed.

Wind
11 km/h

Light wind: no noticeable effect.

Surface feeds the model (surface specialization is one of its factors). Weather and altitude are context we publish for you — they do NOT move the probability.

OUR MODEL'S REASONING

Ranking: #124 vs #140 (better ranked)

Recent form: 5/10 in recent matches

WATCH FOR

!Returning from a long layoff (50d) — possible rustiness

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.
@1.78
fair odds
+4.2%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Pellegrino●●●
Pellegrino leads by 72 Elo points (1868 vs 1796) and sits at #124 vs #140, with a rising ranking trend of +31.
Serve/return▸ Kjaer●●
Budkov Kjaer holds the raw edge on both ends: 66% serve points won vs 61%, and 36% return vs 35% for Pellegrino.
Form▸ Pellegrino●●
Pellegrino has won 6 of his last 10 matches versus 4 for Budkov Kjaer, though both enter on a one-match losing streak.
Rest▸ Kjaer●●
Budkov Kjaer has had 19 days off with no matches in the last 14, while Pellegrino played twice in that span and rests only 6 days.
Weather= Even
Warm, dry conditions (25°C, 54% humidity, 11 km/h wind) are moderate and not extreme enough to clearly favor either player's game.
LEVEL AND RANKING GAP

The clearest structural edge in this match belongs to Pellegrino. His Elo rating of 1868 sits 72 points above Budkov Kjaer's 1796, and the ranking table confirms the same order: #124 versus #140. Pellegrino also carries a positive ranking trend of +31, suggesting recent upward movement, while Budkov Kjaer's trend is flat at 0. Together these two independent metrics point to Pellegrino as the more established player right now, which is the main pillar behind his 56% model probability.

SERVE VS RETURN NUMBERS

The raw service and return percentages actually cut against the favorite. Budkov Kjaer wins 66% of his service points compared to Pellegrino's 61%, a five-point gap that suggests he can hold serve more comfortably in this matchup. On return, the numbers are closer but still tilt slightly to Budkov Kjaer, 36% versus 35%. Since neither player has a return number that dominates the other's serve, no clear neutralization pattern emerges — this is a factor that tempers Pellegrino's overall edge rather than reinforcing it.

FORM AND SCHEDULE

Recent form favors Pellegrino only modestly: he has won 6 of his last 10 matches against 4 for Budkov Kjaer, though both players arrive off a loss and a one-match losing streak. The schedule split is more pronounced. Budkov Kjaer has been out for 19 days with zero matches in the last two weeks, while Pellegrino has played twice in that window and rests just 6 days. That extended layoff for Budkov Kjaer cuts both ways — it could mean he's fresher physically, but the model's own risk note flags possible rustiness from time away, so this factor should be read as uncertain rather than a clean edge for either side.

VALUE READ

The model gives Pellegrino a 56% chance, only two points above the market's implied 54% at odds of 1.85, producing a modest 4.2% expected value. This is a small gap, not a decisive mispricing — the model is essentially in line with the market's own assessment of a moderate favorite. Given that serve/return numbers slightly favor Budkov Kjaer and the rest situation is ambiguous, this should be treated as a marginal, not a strong, edge. Being the favorite here does not equate to a safe or high-conviction bet; the numbers support a small lean toward Pellegrino, nothing more.

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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