Season Statistics

Introduction

Keep track of the progression of a season. We pre-calculate a wide range of stats for you like number of: matches, matches played, goals scored, clean sheets, yellowcards and much more. You can check an example outcome below:

{
  "data": {
    "id": 16036,
    "name": "2019\/2020",
    "league_id": 8, // Premier League in England //
    "is_current_season": true,
    "current_round_id": 169689,
    "current_stage_id": 77443862,
    "stats": {
      "data": {
        "id": 1165,
        "season_id": 16036,
        "league_id": 8,
        "number_of_clubs": 20,
        "number_of_matches": 380,
        "number_of_matches_played": 370,
        "number_of_goals": 1001,
        "matches_both_teams_scored": 187,
        "number_of_yellowcards": 1266,
        "number_of_yellowredcards": 19,
        "number_of_redcards": 25,
        "avg_goals_per_match": 2.71,
        "avg_yellowcards_per_match": 3.42,
        "avg_yellowredcards_per_match": 0.05,
        "avg_redcards_per_match": 0.07,
        "team_with_most_goals_id": 9,
        "team_with_most_conceded_goals_id": 33,
        "team_with_most_goals_per_match_id": 9,
        "season_topscorer_id": 1182,
        "season_topscorer_number": 23,
        "season_assist_topscorer_id": 1371,
        "season_assist_topscorer_number": 19,
        "team_most_cleansheets_id": 27,
        "team_most_cleansheets_number": 15,
        "goals_scored_minutes": {
          "0-15": "9.99%",
          "15-30": "16.48%",
          "30-45": "16.48%",
          "45-60": "20.98%",
          "60-75": "17.38%",
          "75-90": "22.68%"
        },
        "goalkeeper_most_cleansheets_id": 2763,
        "goalkeeper_most_cleansheets_number": 15,
        "goal_scored_every_minutes": 26,
        "btts": 50.54,
        "goal_line": {
          "over": {
            "0_5": 94.32,
            "1_5": 79.46,
            "2_5": 51.89,
            "3_5": 27.57,
            "4_5": 11.35,
            "5_5": 2.97
          },
          "under": {
            "0_5": 5.68,
            "1_5": 20.54,
            "2_5": 48.11,
            "3_5": 72.43,
            "4_5": 88.65,
            "5_5": 97.03
          }
        },
        "avg_corners_per_match": 10.76,
        "team_most_corners_count": 289,
        "team_most_corners_id": 9,
        "goals_conceded": {
          "all": 1.35,
          "home": 1.2,
          "away": 1.51
        },
        "goals_scored": {
          "all": 1.35,
          "home": 1.51,
          "away": 1.2
        },
        "win_percentage": {
          "all": 37.84,
          "home": 45.41,
          "away": 30.27
        },
        "defeat_percentage": {
          "all": 37.84,
          "home": 30.27,
          "away": 45.41
        },
        "draw_percentage": 24.32,
        "avg_homegoals_per_match": 1.51,
        "avg_awaygoals_per_match": 1.2,
        "avg_player_rating": 6.76,
        "updated_at": {
          "date": "2020-07-22 21:15:04.000000",
          "timezone_type": 3,
          "timezone": "UTC"
        }
      }
    }
  },

Relationship Details

Below you can find the details for this relationship.