Dubai U.A.E. Hard Atp 500 Round of 32

Daniil Medvedev vs Juncheng Shang: AI Prediction | Games, Spread, Aces & Double Faults

Daniil Medvedev

Rank: #11
67%
VS

Juncheng Shang

Rank: #262
33%
Expected Total Games: 23.1
Predicted Winner: Daniil Medvedev

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Ranking Trends

Daniil Medvedev

  • Current #11 2026-02-23
  • 3 mo ago #13 2025-11-24
  • 6 mo ago #13 2025-08-25
  • 9 mo ago #11 2025-05-26
  • 12 mo ago #6 2025-02-24

Juncheng Shang

  • Current #262 2026-02-23
  • 3 mo ago #255 2025-11-24
  • 6 mo ago #111 2025-08-25
  • 9 mo ago #71 2025-05-26
  • 12 mo ago #58 2025-02-24

Player Metrics

Daniil Medvedev

Form Index: 48.7
ELO Rating: 2341.6
Glicko2 Rating: 1990.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 13.4
Clay: 20.9
Grass: 21.7
Serve Rating: 73.5
Return Rating: 42.2

Juncheng Shang

Form Index: 30.3
ELO Rating: 332.4
Glicko2 Rating: 1613.0
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 5.7
Clay: 1.2
Grass: 1.0
Serve Rating: 98.3
Return Rating: 89.1

Recent Matches

Daniil Medvedev
❌ ✅ ❌ ❌ ✅

Juncheng Shang
❌ ❌ ✅ ❌ ✅

  • Last Match: ❌ vs Daniil Medvedev (0-2) hard Doha 75 min
  • 2nd Last Match: ❌ vs Botic van de Zandschulp (0-3) hard Australian Open 174 min
  • 3rd Last Match: ✅ vs Roberto Bautista Agut (3-1) hard Australian Open 174 min
  • 4th Last Match: ❌ vs Alexander Bublik (0-2) hard Hong Kong 85 min
  • 5th Last Match: ✅ vs Lorenzo Sonego (2-0) hard Hong Kong 82 min

Head-to-Head (Last 2 Seasons)

1
Daniil Medvedev
vs
0
Juncheng Shang
Hard
1 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round-of-32 meeting in Dubai, U.A.E., on hard courts at a 500-level event projects Daniil Medvedev as the favorite. The model gives Medvedev a 67.23% chance to win against Juncheng Shang (32.77%), with a predicted total of about 23.1 games in the match.

Match Analysis

Medvedev enters ranked 11 with a strong Elo (2341.63) and a higher form index (48.74) compared with Shang (rank 262, Elo 332.36, form 30.30). Both players show zero fatigue from the current tournament. Medvedev’s surface strength index (13.37) is higher than Shang’s (5.66), and his mean serve index (73.46) indicates a reliable serve. However, Shang’s mean serve index (98.31) is markedly higher — a difference exceeding 5 points — and his mean return index (89.11) dwarfs Medvedev’s return index (42.20) by a substantial margin, so returning prowess and serve potency are clear differentiators. Recent form reflects mixed results for each player. Medvedev split his last three hard-court outings, including a recent loss to Stefanos Tsitsipas but a straight-sets win over Shang in Doha two matches ago. Shang’s last three matches include an earlier loss to Medvedev in Doha and a heavy defeat at the Australian Open, but also a notable upset win over Roberto Bautista Agut at the Australian Open. Those results show Shang can produce high-level performances but has been inconsistent against top opponents.

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

Cumulative Probability (CDF)

Probability of total games ≤ X

Games Spread Predictions

📈
Expected Games Spread (Daniil Medvedev - Juncheng Shang) -0.6 Most likely spread: -1 (Juncheng Shang wins 1 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 hard-court match is about 10.06 total, and the double faults prediction sits near 5.63 expected double faults. Hard courts typically yield a moderate number of aces compared with grass or clay, so the predicted aces reflect a balance between serve power and return quality. With Shang’s significantly higher serve rating, expect him to contribute a larger share of the predicted aces, while Medvedev’s steadier serve and weaker return numbers may temper overall ace frequency.
🎯
Expected Total Aces 10.1 Most likely: 10 aces
❌
Expected Total Double Faults 5.6 Most likely: 5 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

Medvedev’s edge comes from higher rank, superior Elo, and more consistent recent form, despite Shang’s exceptional serve and return indices on paper. The key factor to watch is whether Shang’s serve dominance translates into free points early; if Medvedev neutralizes that, his path to victory becomes much clearer.

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