Miami FL, U.S.A. Hard Masters 1000 Round of 32

Frances Tiafoe vs Jakub Mensik: AI Prediction | Games, Spread, Aces & Double Faults

Frances Tiafoe

Rank: #20
41%
VS

Jakub Mensik

Rank: #13
59%
Expected Total Games: 23.8
Predicted Winner: Jakub Mensik

Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.

Set it up

Player Metrics

Frances Tiafoe

Form Index: 54.8
ELO Rating: 1448.3
Glicko2 Rating: 1763.4
Current Fatigue (minutes): 91.0
Surface Strength:
Hard: 9.8
Clay: 11.0
Grass: 12.2
Serve Rating: 67.3
Return Rating: 55.4

Jakub Mensik

Form Index: 55.2
ELO Rating: 2025.6
Glicko2 Rating: 1657.6
Current Fatigue (minutes): 112.0
Surface Strength:
Hard: 16.7
Clay: 16.3
Grass: 16.4
Serve Rating: 97.7
Return Rating: 89.7

Recent Matches

Frances Tiafoe

  • Last Match: vs Arthur Cazaux (2-0) hard Miami 91 min
  • 2nd Last Match: vs Alexander Zverev (0-2) hard Indian Wells 89 min
  • 3rd Last Match: vs Flavio Cobolli (2-0) hard Indian Wells 67 min
  • 4th Last Match: vs Jenson Brooksby (2-0) hard Indian Wells 83 min
  • 5th Last Match: vs Flavio Cobolli (0-2) hard Acapulco 129 min

Jakub Mensik

  • Last Match: vs Adam Walton (2-1) hard Miami 112 min
  • 2nd Last Match: vs Alejandro Davidovich Fokina (1-2) hard Indian Wells 125 min
  • 3rd Last Match: vs Marcos Giron (2-0) hard Indian Wells 104 min
  • 4th Last Match: vs Tallon Griekspoor (1-2) hard Dubai 102 min
  • 5th Last Match: vs Alexei Popyrin (2-0) hard Dubai 64 min

Head-to-Head (Last 2 Seasons)

0
Frances Tiafoe
vs
0
Jakub Mensik
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Miami Masters in Florida, the round-of-32 clash on hard court pits Frances Tiafoe against Jakub Mensik in a high-stakes early evening slot. The model favors Mensik (59.26%) over Tiafoe (40.74%) with an expected total of about 23.75 games, pointing to a relatively concise encounter rather than a marathon.

Match Analysis

Mensik arrives as the higher-ranked player (No. 13 vs No. 20) with a markedly superior Elo (2025.6 to 1448.3) and a marginally better form index (55.22 vs 54.83). His surface strength index (16.70) is modestly higher than Tiafoe’s (9.77). Fatigue numbers show Mensik with 112 minutes on court in the event to Tiafoe’s 91 minutes, which could matter late in rallies, but the raw ratings still tilt toward Mensik. Crucially, Mensik’s mean serve index (97.72) is far higher than Tiafoe’s (67.34) — a difference well above 5 points — and his mean return index (89.68) also outclasses Tiafoe’s (55.39), creating a clear statistical edge on both serve and return. Recent match lines underscore both men’s resilience on hard courts. Tiafoe has beaten Arthur Cazaux and Flavio Cobolli at hard-court events but fell to Alexander Zverev at Indian Wells; match times were moderate (67–91–89 minutes). Mensik’s Miami win over Adam Walton required 112 minutes and followed an extended 125-minute match at Indian Wells against Davidovich Fokina and a solid straight-sets win over Marcos Giron. Those three outings show Mensik competing in longer matches recently, which explains his higher fatigue but also his ability to grind through extended battles.

Total Games Predictions

🎾
Expected Total Games in Match 23.8 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Frances Tiafoe versus Jakub Mensik. 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 Frances Tiafoe versus Jakub Mensik. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Frances Tiafoe - Jakub Mensik) +6.5 Most likely spread: +8 (Frances Tiafoe wins 8 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Frances Tiafoe versus Jakub Mensik. Positive values indicate Frances Tiafoe winning more games, negative values indicate Jakub Mensik winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Frances Tiafoe versus Jakub Mensik. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this hard-court match sits at about 8.89 total, with a predicted aces split likely favoring Mensik given his very high mean serve index. Expected double faults are 6.37 for the match; double faults prediction suggests both players will have occasional trouble under pressure. Hard courts typically produce a moderate ace count — more than clay but less than grass — and Mensik’s superior serve rating should boost the predicted aces tally.
🎯
Expected Total Aces 8.9 Most likely: 8 aces
Expected Total Double Faults 6.4 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Frances Tiafoe versus Jakub Mensik. 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 Frances Tiafoe versus Jakub Mensik. 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 Frances Tiafoe versus Jakub Mensik. 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 Frances Tiafoe versus Jakub Mensik. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Mensik’s superior Elo, serve and return indexes give him the edge despite higher minutes on court; those metrics drive the 59.26% win probability. Watch his serve-return balance early: if his serve holds up, the match should tilt decisively in his favor.

Get Daily Tennis Predictions

Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.

Join Our Telegram Channel