Madrid Spain Clay Masters 1000 Round of 128

Nicolai Budkov Kjaer vs Reilly Opelka: AI Prediction | Games, Spread, Aces & Double Faults

Nicolai Budkov Kjaer

Rank: #140
29%
VS

Reilly Opelka

Rank: #70
71%
Expected Total Games: 23.9
Predicted Winner: Reilly Opelka

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Ranking Trends

Nicolai Budkov Kjaer

  • Current #140 2026-04-20
  • 3 mo ago #135 2026-01-19
  • 6 mo ago #137 2025-10-20
  • 9 mo ago #253 2025-07-21
  • 12 mo ago #305 2025-04-21

Reilly Opelka

  • Current #70 2026-04-20
  • 3 mo ago #63 2026-01-19
  • 6 mo ago #62 2025-10-20
  • 9 mo ago #74 2025-07-21
  • 12 mo ago #103 2025-04-21

Player Metrics

Nicolai Budkov Kjaer

Form Index: 61.9
ELO Rating: 1589.3
Glicko2 Rating: 1578.4
Current Fatigue (minutes): 151.0
Surface Strength:
Hard: 51.6
Clay: 39.3
Grass: 40.0
Serve Rating: 61.8
Return Rating: 67.2

Reilly Opelka

Form Index: 53.2
ELO Rating: 1665.5
Glicko2 Rating: 1689.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 58.0
Clay: 38.6
Grass: 41.8
Serve Rating: 99.8
Return Rating: 84.9

Recent Matches

Nicolai Budkov Kjaer
✅ ✅ ❌ ❌ ❌

Reilly Opelka
❌ ❌ ✅ ✅ ❌

  • Last Match: ❌ vs Ethan Quinn (0-2) clay Barcelona 111 min
  • 2nd Last Match: ❌ vs Taylor Fritz (0-2) hard Miami 63 min
  • 3rd Last Match: ✅ vs Jack Draper (2-0) hard Miami 92 min
  • 4th Last Match: ✅ vs Nuno Borges (2-1) hard Miami 121 min
  • 5th Last Match: ❌ vs Ben Shelton (1-2) hard Indian Wells 132 min

Head-to-Head (Last 2 Seasons)

0
Nicolai Budkov Kjaer
vs
1
Reilly Opelka
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Madrid Masters 1000 on clay, round of 128 pits Nicolai Budkov Kjaer against giant-serving Reilly Opelka. The model favors Opelka to win (71.02%) over Kjaer (28.98%), with a projected match length of about 23.9 games — suggestive of a straight-sets outcome with a handful of service breaks.

Match Analysis

Opelka enters with the higher ranking (70 vs 140) and a superior Elo (1665.47 vs 1589.35), and he also arrives with no cumulative fatigue from this event, while Kjaer has already logged 151 minutes on court. Kjaer’s form index (61.85) is better than Opelka’s (53.18), which reflects his recent winning run here, but both carry modest clay-specific profiles (surface strength indices: Kjaer 39.27, Opelka 38.60), so neither is a clay-court specialist. Serve and return metrics show a clear separation: Opelka’s mean serve index (99.78) vastly outstrips Kjaer’s (61.76) — a difference that will shape the match — and his mean return index (84.90) is also notably higher than Kjaer’s (67.19). Kjaer’s recent form includes two straight-set wins in Madrid (58 and 93 minutes) after a three-set loss in Barcelona; Opelka’s last three matches are mixed — a win in Miami followed by consecutive losses in Miami and Barcelona — but he comes in physically fresher.

Total Games Predictions

🎾
Expected Total Games in Match 23.9 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Games Spread Predictions

📈
Expected Games Spread (Nicolai Budkov Kjaer - Reilly Opelka) -1.1 Most likely spread: -2 (Reilly Opelka wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Cumulative Probability (CDF)

Probability of spread ≤ X

Aces and Double Faults Predictions

The aces prediction for this match sits at about 14.93 predicted aces, and the double faults prediction (expected double faults) is roughly 4.13. Clay typically reduces ace totals due to slower, higher-bouncing courts, so the predicted aces are tempered; however, Opelka’s exceptional serve rating suggests most of those aces will come from him. Expect some pressure-induced double faults late in rallies given clay’s longer points.
🎯
Expected Total Aces 14.9 Most likely: 14 aces
❌
Expected Total Double Faults 4.1 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Cumulative Probability (CDF)

Probability of aces ≤ X

❌ Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Cumulative Probability (CDF)

Probability of double faults ≤ X

New to probability charts? Learn how to interpret distribution and CDF curves

Final Prediction

Opelka’s size, serve dominance and higher Elo give him the clear edge, especially with Kjaer carrying minutes already this week. The key factor to watch is whether Kjaer can convert his stronger recent form and return skills into early breaks — if he cannot, Opelka’s serve should carry him through.

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