Cincinnati OH, U.S.A. Hard Masters 1000 Round of 64

Marco Trungelliti vs Daniil Medvedev: AI Prediction | Games, Spread, Aces & Double Faults

Marco Trungelliti

Rank: #90
15%
VS

Daniil Medvedev

Rank: #6
85%
Expected Total Games: 24.5
Predicted Winner: Daniil Medvedev

Why the Model Favors Daniil Medvedev

The factors that drove this prediction, measured in win-probability points.

Recent record by level +9.1 Daniil Medvedev
Surface fit +7.3 Daniil Medvedev
Serve & return game +5.8 Daniil Medvedev
Overall strength +5.0 Daniil Medvedev
Age +3.4 Daniil Medvedev

Starting from an even matchup, these factors move the model to 85% for Daniil Medvedev. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Marco Trungelliti

Form Index: 51.4
ELO Rating: 1617.3
Glicko2 Rating: 1647.8
Current Fatigue (minutes): 418.0
Surface Strength:
Hard: 17.6
Clay: 16.1
Grass: 3.8
Serve Rating: 95.3
Return Rating: 89.0

Daniil Medvedev

Form Index: 35.8
ELO Rating: 1775.2
Glicko2 Rating: 1892.0
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 48.2
Clay: 28.8
Grass: 24.1
Serve Rating: 96.1
Return Rating: 89.2

Recent Matches

Marco Trungelliti

Daniil Medvedev

  • Last Match: vs Botic van de Zandschulp (0-2) hard Toronto 99 min
  • 2nd Last Match: vs Jan-Lennard Struff (0-3) grass Wimbledon 174 min
  • 3rd Last Match: vs Daniel Merida (3-1) grass Wimbledon 174 min
  • 4th Last Match: vs Marin Cilic (3-0) grass Wimbledon 174 min
  • 5th Last Match: vs Daniel Altmaier (1-2) grass Halle 165 min

Head-to-Head (Last 2 Seasons)

0
Marco Trungelliti
vs
0
Daniil Medvedev
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Cincinnati, Ohio. Round of 64 on outdoor hard courts at a masters 1000 event. The model strongly favors Daniil Medvedev to progress. Predicted winner: Daniil Medvedev 85.43%. Marco Trungelliti 14.57%. The model expects a relatively short encounter with about 24.54 total games.

Match Analysis

The model’s edge for Medvedev is driven first by recent record by level, then by surface fit, serve and return game, overall strength, and age. Those drivers line up with the raw numbers. Medvedev arrives as world number 6 with an Elo of 1775.22 and a surface strength index of 48.22. Trungelliti is ranked 90 with an Elo of 1617.25 and a surface index of 17.61. The ranking and Elo gap underpin the model’s assessment of stronger results at higher levels for Medvedev. Surface fit adds 7.3 percentage points to Medvedev because his hard court profile is substantially higher in the data. Serve and return metrics favor Medvedev slightly on paper, which contributed 5.8 points to the prediction. Their mean serve indexes are similar: Medvedev 96.10, Trungelliti 95.33, so no large serve rating gap is present. Mean return indexes are also close: Medvedev 89.20, Trungelliti 88.99. Fatigue is a clear contrast. Trungelliti has accumulated 418 minutes in Cincinnati from three long wins (victories over Hamad Medjedovic, Kei Nishikori, and Sebastian Ofner with match durations of 124, 150, and 144 minutes). Medvedev records zero minutes in this event and arrives physically fresher. Form indices present an interesting split: Trungelliti’s form index sits at 51.40, higher than Medvedev’s 35.75, but the deeper strength indicators and experience at the top level tip the odds.

Total Games Predictions

🎾
Expected Total Games in Match 24.5 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Marco Trungelliti versus Daniil Medvedev. 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 Marco Trungelliti versus Daniil Medvedev. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Marco Trungelliti - Daniil Medvedev) -4.6 Most likely spread: -5 (Daniil Medvedev wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction is modest for a hard court match, with predicted aces totaling 10.65 for the match. The expected double faults are 8.81. Hard courts typically produce a moderate ace count compared with grass or clay, so the predicted aces and expected double faults fit the surface profile. Because the two players have similar serve ratings, neither is likely to dominate the ace count dramatically.
🎯
Expected Total Aces 10.7 Most likely: 10 aces
Expected Total Double Faults 8.8 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Marco Trungelliti versus Daniil Medvedev. 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 Marco Trungelliti versus Daniil Medvedev. 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 Marco Trungelliti versus Daniil Medvedev. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

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

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

36.6% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Marco Trungelliti's perspective)

0-2 Most likely set score (57.8%)
Probability distribution of the final set score from Marco Trungelliti's perspective. Format: BO3.

Final Prediction

Medvedev’s edge comes primarily from the model’s top driver, recent record by level, supported by better Elo, rank, surface fit, and freshness. A key factor to watch during the match is Trungelliti’s accumulated court time and whether physical fatigue limits his ability to extend rallies and pressure Medvedev’s serve.

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