Player Data JSON

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

Francesca Jones

Francesca Jones

United Kingdom WTA 71
37W - 20L 64,9% Win Rate Forma: LLWWLLLWWW

JSON Data

{
  "player": {
    "id": 497,
    "api_id": 193290,
    "name": "Francesca Jones",
    "short_name": "F. Jones",
    "country": "United Kingdom",
    "country_code": "GB",
    "gender": "Female",
    "circuit": "WTA",
    "date_of_birth": "2000-09-19",
    "height_cm": null,
    "weight_kg": null,
    "plays": "",
    "turned_pro": null
  },
  "utr": {
    "id": 141496,
    "singles": 12.16,
    "doubles": null,
    "ranking": 61,
    "division": "Pro",
    "is_pro": true,
    "updated_at": "2026-01-18"
  },
  "current_ranking": {
    "position": 71,
    "points": 951,
    "best_position": 69,
    "date": "2026-01-30"
  },
  "ranking_history": [
    {
      "date": "2026-01-30",
      "position": 71,
      "points": 951
    },
    {
      "date": "2026-01-29",
      "position": 71,
      "points": 951
    },
    {
      "date": "2026-01-28",
      "position": 71,
      "points": 951
    },
    {
      "date": "2026-01-27",
      "position": 71,
      "points": 951
    },
    {
      "date": "2026-01-26",
      "position": 71,
      "points": 951
    },
    {
      "date": "2026-01-25",
      "position": 71,
      "points": 951
    },
    {
      "date": "2026-01-24",
      "position": 71,
      "points": 951
    },
    {
      "date": "2026-01-23",
      "position": 71,
      "points": 951
    },
    {
      "date": "2026-01-22",
      "position": 71,
      "points": 951
    },
    {
      "date": "2026-01-21",
      "position": 71,
      "points": 951
    }
  ],
  "career_stats": {
    "total_matches": 57,
    "wins": 37,
    "losses": 20,
    "win_rate": 64.9
  },
  "surface_stats": {
    "hard": {
      "matches": 30,
      "wins": 19,
      "losses": 11,
      "win_rate": 63.3
    },
    "clay": {
      "matches": 21,
      "wins": 16,
      "losses": 5,
      "win_rate": 76.2
    },
    "grass": {
      "matches": 6,
      "wins": 2,
      "losses": 4,
      "win_rate": 33.3
    }
  },
  "category_stats": {
    "Grand Slam": {
      "matches": 11,
      "wins": 6,
      "losses": 5,
      "win_rate": 54.5
    },
    "WTA 1000": {
      "matches": 3,
      "wins": 2,
      "losses": 1,
      "win_rate": 66.7
    },
    "WTA 500": {
      "matches": 5,
      "wins": 3,
      "losses": 2,
      "win_rate": 60.0
    },
    "WTA 250": {
      "matches": 38,
      "wins": 26,
      "losses": 12,
      "win_rate": 68.4
    }
  },
  "average_match_stats": {
    "matches_with_stats": 57,
    "avg_aces_per_match": 1.8,
    "avg_double_faults_per_match": 3.7,
    "avg_first_serve_pct": 68.9,
    "avg_first_serve_won_pct": 63.9,
    "avg_second_serve_won_pct": 46.3,
    "avg_break_points_converted_pct": null
  },
  "recent_form": [
    {
      "date": "2026-01-19",
      "opponent": "Linda Klimovicova",
      "opponent_id": 297953,
      "tournament": "Australian Open",
      "surface": "hard",
      "round": "Round of 128",
      "result": "L",
      "score": "0-1",
      "stats": {
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        "double_faults": 2,
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        "first_serve_won_pct": 51.724137931034484,
        "second_serve_won_pct": 43.75,
        "break_points_converted_pct": null,
        "total_points_won": null
      }
    },
    {
      "date": "2026-01-08",
      "opponent": "Xinyu Wang",
      "opponent_id": 227431,
      "tournament": "Auckland",
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      "round": "Quarterfinals",
      "result": "L",
      "score": "0-1",
      "stats": {
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        "break_points_converted_pct": null,
        "total_points_won": null
      }
    },
    {
      "date": "2026-01-07",
      "opponent": "Sinja Kraus",
      "opponent_id": 246159,
      "tournament": "Auckland",
      "surface": "hard",
      "round": "Round of 16",
      "result": "W",
      "score": "2-1",
      "stats": {
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    },
    {
      "date": "2026-01-05",
      "opponent": "Emma Navarro",
      "opponent_id": 207979,
      "tournament": "Auckland",
      "surface": "hard",
      "round": "Round of 32",
      "result": "W",
      "score": "2-1",
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    },
    {
      "date": "2025-10-29",
      "opponent": "Mei Yamaguchi",
      "opponent_id": 208613,
      "tournament": "Chennai",
      "surface": "hard",
      "round": "Round of 32",
      "result": "L",
      "score": "1-1",
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    },
    {
      "date": "2025-10-20",
      "opponent": "Xiyu Wang",
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      "tournament": "Guangzhou",
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      "round": "Round of 32",
      "result": "L",
      "score": "0-2",
      "stats": {
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    },
    {
      "date": "2025-09-13",
      "opponent": "Janice Tjen",
      "opponent_id": 291733,
      "tournament": "WTA Sao Paulo, Brazil Women, Singles",
      "surface": "hard",
      "round": "Semifinals",
      "result": "L",
      "score": "0-2",
      "stats": {
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    },
    {
      "date": "2025-09-12",
      "opponent": "Solana Sierra",
      "opponent_id": 298913,
      "tournament": "WTA Sao Paulo, Brazil Women, Singles",
      "surface": "hard",
      "round": "Quarterfinals",
      "result": "W",
      "score": "2-0",
      "stats": {
        "aces": 4,
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    },
    {
      "date": "2025-09-10",
      "opponent": "Whitney Osuigwe",
      "opponent_id": 223130,
      "tournament": "WTA Sao Paulo, Brazil Women, Singles",
      "surface": "hard",
      "round": "Round of 16",
      "result": "W",
      "score": "2-0",
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    },
    {
      "date": "2025-09-09",
      "opponent": "Lina Glushko",
      "opponent_id": 195315,
      "tournament": "WTA Sao Paulo, Brazil Women, Singles",
      "surface": "hard",
      "round": "Round of 32",
      "result": "W",
      "score": "2-1",
      "stats": {
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    }
  ],
  "form_summary": {
    "last_10_matches": 10,
    "wins": 5,
    "losses": 5,
    "form_string": "LLWWLLLWWW"
  },
  "head_to_head": [
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      "opponent": "Panna Udvardy",
      "opponent_id": 218347,
      "matches": 3,
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      "losses": 2
    },
    {
      "opponent": "Emiliana Arango",
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    },
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      "opponent": "Dayana Yastremska",
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    {
      "opponent": "Anouk Koevermans",
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      "opponent": "Carole Monnet",
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  ],
  "upcoming_matches": [],
  "year_statistics": [
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          "winners_total": 23,
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        "hardcourt_indoor": {
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    {
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    }
  ],
  "data_generated_at": "2026-01-30 14:30:12 UTC"
}