Delray Beach FL, U.S.A. Hard Atp 250 Round of 16

Brandon Nakashima vs Coleman Wong: AI Prediction | Games, Spread, Aces & Double Faults

Brandon Nakashima

Rank: #29
72%
VS

Coleman Wong

Rank: #136
28%
Expected Total Games: 23.8
Predicted Winner: Brandon Nakashima

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Player Metrics

Brandon Nakashima

Form Index: 44.3
ELO Rating: 1360.1
Glicko2 Rating: 1643.3
Current Fatigue (minutes): 132.0
Surface Strength:
Hard: 7.8
Clay: 9.6
Grass: 11.4
Serve Rating: 83.0
Return Rating: 22.0

Coleman Wong

Form Index: 68.6
ELO Rating: 601.7
Glicko2 Rating: 1558.7
Current Fatigue (minutes): 280.0
Surface Strength:
Hard: 6.6
Clay: 3.0
Grass: 3.4
Serve Rating: 96.6
Return Rating: 88.1

Recent Matches

Brandon Nakashima

  • Last Match: vs Marin Cilic (2-0) hard Delray Beach 132 min
  • 2nd Last Match: vs Taylor Fritz (0-2) hard Dallas 69 min
  • 3rd Last Match: vs Mattia Bellucci (2-0) hard Dallas 68 min
  • 4th Last Match: vs Botic van de Zandschulp (1-3) hard Australian Open 174 min
  • 5th Last Match: vs Daniil Medvedev (0-2) hard Brisbane 95 min

Coleman Wong

Head-to-Head (Last 2 Seasons)

0
Brandon Nakashima
vs
0
Coleman Wong
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This Round of 16 clash at the Delray Beach hard courts in Florida is an ATP 250-level event on a medium-paced surface. The model favors Brandon Nakashima to win (71.78% chance) over Coleman Wong (28.22%), with a projected total of about 23.8 games in the match.

Match Analysis

Nakashima comes in as the higher-ranked player (No. 29) with an Elo of ~1360 and a solid form index of 44.3; his cumulative in-tournament court time is moderate at 132 minutes and his hard-court surface strength index is slightly stronger (7.76 vs 6.63). Wong is ranked 136 with a much lower Elo (~602) but a higher recent form index (68.65) and substantially greater match minutes this event (280), which suggests rising momentum under heavier fatigue. The large gap in mean serve index (Nakashima 83.03 vs Wong 96.56) — a difference of ~13.5 points — suggests Wong can produce more free points on serve, while the return indexes are dramatically in Wong’s favor (Nakashima 22.02 vs Wong 88.08), a ~66-point difference that highlights Wong’s return strength on paper. Over the last three matches Nakashima is 2-1, including a straight-sets win over Marin Cilic at this event and an earlier loss to Taylor Fritz; his recent wins were relatively quick with one longer 132-minute match. Wong has won three straight at Delray Beach, including a 3-set win over Nuno Borges (127 minutes) and two straight-set victories; that streak indicates match rhythm but also explains his higher fatigue total. These form lines produce a contest between Nakashima’s higher ranking/Elo and Wong’s recent hot streak and serving/return metrics.

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 Brandon Nakashima versus Coleman Wong. 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 Brandon Nakashima versus Coleman Wong. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Brandon Nakashima - Coleman Wong) +0.6 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Brandon Nakashima versus Coleman Wong. Positive values indicate Brandon Nakashima winning more games, negative values indicate Coleman Wong winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Brandon Nakashima versus Coleman Wong. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is about 12.95 total, with an expected double faults tally near 4.17. On a medium-paced hard court this predicted aces count is plausible—hard courts reward serves more than clay but less than grass. Given Wong’s significantly higher serve rating, he is likely to drive a larger share of the predicted aces, while both players could contribute to the expected double faults total.
🎯
Expected Total Aces 12.9 Most likely: 12 aces
Expected Total Double Faults 4.2 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Brandon Nakashima versus Coleman Wong. 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 Brandon Nakashima versus Coleman Wong. 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 Brandon Nakashima versus Coleman Wong. 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 Brandon Nakashima versus Coleman Wong. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Nakashima’s superior ranking, Elo and slightly fresher legs give him the modeled edge despite Wong’s excellent serve and return indexes and his winning run at the event. The key factor to watch is how fatigue affects Wong’s serve effectiveness late in rallies and whether Nakashima can neutralize those high serve and return metrics early in the match.

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