Player Data JSON

Obtiene datos completos de un jugador en formato JSON para alimentar LLMs

Emma Navarro

Emma Navarro

USA WTA 15
29W - 23L 55.8% Win Rate Forma: LLWWWLWWLL

JSON Data

{
  "player": {
    "id": 309,
    "api_id": 207979,
    "name": "Emma Navarro",
    "short_name": "E. Navarro",
    "country": "USA",
    "country_code": "US",
    "gender": "Female",
    "circuit": "WTA",
    "date_of_birth": "2001-05-18",
    "height_cm": null,
    "weight_kg": null,
    "plays": "",
    "turned_pro": null
  },
  "utr": {
    "id": 2517427,
    "singles": 12.37,
    "doubles": 10.21,
    "ranking": 31,
    "division": "Pro",
    "is_pro": true,
    "updated_at": "2025-12-07"
  },
  "current_ranking": {
    "position": 15,
    "points": 2515,
    "best_position": 8,
    "date": "2025-12-10"
  },
  "ranking_history": [
    {
      "date": "2025-12-10",
      "position": 15,
      "points": 2515
    },
    {
      "date": "2025-12-09",
      "position": 15,
      "points": 2515
    },
    {
      "date": "2025-12-08",
      "position": 15,
      "points": 2515
    },
    {
      "date": "2025-12-07",
      "position": 15,
      "points": 2515
    },
    {
      "date": "2025-12-06",
      "position": 15,
      "points": 2515
    },
    {
      "date": "2025-12-05",
      "position": 15,
      "points": 2515
    },
    {
      "date": "2025-12-04",
      "position": 15,
      "points": 2515
    },
    {
      "date": "2025-12-03",
      "position": 15,
      "points": 2515
    }
  ],
  "career_stats": {
    "total_matches": 52,
    "wins": 29,
    "losses": 23,
    "win_rate": 55.8
  },
  "surface_stats": {
    "hard": {
      "matches": 30,
      "wins": 16,
      "losses": 14,
      "win_rate": 53.3
    },
    "clay": {
      "matches": 12,
      "wins": 6,
      "losses": 6,
      "win_rate": 50.0
    },
    "grass": {
      "matches": 10,
      "wins": 7,
      "losses": 3,
      "win_rate": 70.0
    }
  },
  "category_stats": {
    "Grand Slam": {
      "matches": 12,
      "wins": 8,
      "losses": 4,
      "win_rate": 66.7
    },
    "WTA 1000": {
      "matches": 18,
      "wins": 8,
      "losses": 10,
      "win_rate": 44.4
    },
    "WTA 500": {
      "matches": 22,
      "wins": 13,
      "losses": 9,
      "win_rate": 59.1
    }
  },
  "average_match_stats": {
    "matches_with_stats": 52,
    "avg_aces_per_match": 1.4,
    "avg_double_faults_per_match": 3.3,
    "avg_first_serve_pct": 64.9,
    "avg_first_serve_won_pct": 62.5,
    "avg_second_serve_won_pct": 46.7,
    "avg_break_points_converted_pct": null
  },
  "recent_form": [
    {
      "date": "2025-10-07",
      "opponent": "Shuai Zhang",
      "opponent_id": 19607,
      "tournament": "Wuhan",
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      "round": "Round of 64",
      "result": "L",
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        "break_points_converted_pct": null,
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    },
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      "opponent": "Jessica Pegula",
      "opponent_id": 44834,
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      "round": "Quarterfinals",
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    },
    {
      "date": "2025-10-01",
      "opponent": "Iga Swiatek",
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      "round": "Round of 16",
      "result": "W",
      "score": "2-1",
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    {
      "date": "2025-09-29",
      "opponent": "Lois Boisson",
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      "round": "Round of 32",
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    },
    {
      "date": "2025-09-27",
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    {
      "date": "2025-08-24",
      "opponent": "Yafan Wang",
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    },
    {
      "date": "2025-08-21",
      "opponent": "Alycia Parks",
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      "round": "Round of 16",
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    {
      "date": "2025-08-10",
      "opponent": "Ella Seidel",
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      "round": "Round of 64",
      "result": "L",
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  ],
  "form_summary": {
    "last_10_matches": 10,
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    "losses": 5,
    "form_string": "LLWWWLWWLL"
  },
  "head_to_head": [
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      "opponent": "Beatriz Haddad Maia",
      "opponent_id": 59702,
      "matches": 3,
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      "losses": 1
    },
    {
      "opponent": "Sorana Cirstea",
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    },
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      "opponent": "Donna Vekić",
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  "upcoming_matches": [],
  "year_statistics": [
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  ],
  "data_generated_at": "2025-12-10 06:01:46 UTC"
}