Madrid Spain Clay Masters 1000 Round of 32

Daniil Medvedev vs Nicolai Budkov Kjaer: AI Prediction | Games, Spread, Aces & Double Faults

Daniil Medvedev

Rank: #10
73%
VS

Nicolai Budkov Kjaer

Rank: #140
27%
Expected Total Games: 23.1
Predicted Winner: Daniil Medvedev

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Player Metrics

Daniil Medvedev

Form Index: 66.1
ELO Rating: 1959.1
Glicko2 Rating: 1950.4
Current Fatigue (minutes): 129.0
Surface Strength:
Hard: 67.5
Clay: 43.8
Grass: 44.9
Serve Rating: 77.0
Return Rating: 67.7

Nicolai Budkov Kjaer

Form Index: 78.3
ELO Rating: 1657.5
Glicko2 Rating: 1664.9
Current Fatigue (minutes): 228.0
Surface Strength:
Hard: 52.1
Clay: 40.6
Grass: 40.0
Serve Rating: 96.9
Return Rating: 90.7

Recent Matches

Daniil Medvedev

Nicolai Budkov Kjaer

Head-to-Head (Last 2 Seasons)

0
Daniil Medvedev
vs
0
Nicolai Budkov Kjaer
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Madrid, Spain — Round of 32 at a Masters 1000 event on clay. Daniil Medvedev is the clear favorite to advance, with a 73.39% chance of victory over Nicolai Budkov Kjaer (26.61%). The model projects a relatively short match on clay, with an expected total of 23.08 games.

Match Analysis

Medvedev arrives as the higher-ranked and higher-Elo player (Rank 10, Elo 1959) while Kjaer sits outside the top 100 (Rank 140, Elo 1657). Medvedev’s form index is 66.15 versus Kjaer’s 78.35, but cumulative fatigue favors Medvedev (129 minutes on court) compared to Kjaer’s heavier workload (228 minutes). Surface strength indices are similar (Medvedev 43.85, Kjaer 40.63), suggesting neither player is markedly specialized on clay based on the proprietary metric. Serving and returning profiles create an intriguing matchup. Kjaer’s mean serve index (96.91) is substantially higher than Medvedev’s (77.00) — roughly a 20-point gap — and his mean return index (90.71) likewise exceeds Medvedev’s (67.70) by about 23 points. Both differences are large enough to shape key moments: Kjaer looks capable of producing more free points on serve and applying pressure on Medvedev’s service games, while Medvedev’s quality as a returner remains respectable and backed by his experience at the top level. Recent form shows contrasting paths to Madrid’s early rounds: Medvedev’s last three matches include a three-set Madrid win over Fabian Marozsan, a loss to Matteo Berrettini on clay, and a straight-sets win in Miami; Kjaer has won each of his last three recorded matches in Madrid, including victories over Denis Shapovalov and Reilly Opelka.

Total Games Predictions

🎾
Expected Total Games in Match 23.1 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Daniil Medvedev versus Nicolai Budkov Kjaer. The X-axis shows possible total games values and the Y-axis shows the predicted probability percentage for each outcome.
Cumulative Probability (CDF)

Probability of total games ≤ X

Cumulative distribution function chart for total games in Daniil Medvedev versus Nicolai Budkov Kjaer. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Daniil Medvedev - Nicolai Budkov Kjaer) -1.4 Most likely spread: -2 (Nicolai Budkov Kjaer wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Daniil Medvedev versus Nicolai Budkov Kjaer. Positive values indicate Daniil Medvedev winning more games, negative values indicate Nicolai Budkov Kjaer winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Daniil Medvedev versus Nicolai Budkov Kjaer. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sits at 11.09 for the match with expected double faults at 5.88. On clay, predicted aces tend to be lower because the slower surface and higher bounce reduce outright service winners; this is reflected here. Kjaer’s significantly higher serve rating should lift the predicted aces tally, while longer rallies and the physical nature of clay contribute to the expected double faults prediction.
🎯
Expected Total Aces 11.1 Most likely: 11 aces
Expected Total Double Faults 5.9 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Daniil Medvedev versus Nicolai Budkov Kjaer. Higher ace counts are more likely on faster surfaces like grass.
Cumulative Probability (CDF)

Probability of aces ≤ X

Cumulative distribution function chart for total aces in Daniil Medvedev versus Nicolai Budkov Kjaer. The curve shows the cumulative probability for each aces threshold.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Daniil Medvedev versus Nicolai Budkov Kjaer. Clay surface matches tend to produce more double faults due to fatigue in longer rallies.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Daniil Medvedev versus Nicolai Budkov Kjaer. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Medvedev’s higher rank and Elo, coupled with lower cumulative fatigue, underpin the projection in his favor. Watch the Kjaer serve/return package — if his serving firepower holds up and fatigue creeps in, he can force upsets; otherwise Medvedev’s consistency and experience should close out the match.

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