score.json

{
  "missions": [
    {
      "id": "Advantage",
      "score": 0,
      "objectives": [
        {
          "id": "bonus",
          "value": "no"
        }
      ]
    },
    {
      "id": "M01",
      "score": 0,
      "objectives": [
        {
          "id": "M01_1",
          "value": "no"
        },
        {
          "id": "M01_2",
          "value": "0"
        }
      ]
    },
    {
      "id": "M02",
      "score": 0,
      "objectives": [
        {
          "id": "M02_1",
          "value": "no"
        },
        {
          "id": "M02_2",
          "value": "no"
        },
        {
          "id": "M02_3",
          "value": "no"
        }
      ]
    },
    {
      "id": "M03",
      "score": 0,
      "objectives": [
        {
          "id": "M03_1",
          "value": "no"
        }
      ]
    },
    {
      "id": "M04",
      "score": 0,
      "objectives": [
        {
          "id": "M04_1",
          "value": "no"
        }
      ]
    },
    {
      "id": "M05",
      "score": 0,
      "objectives": [
        {
          "id": "M05_lg",
          "value": 0
        },
        {
          "id": "M05_sm",
          "value": 0
        }
      ]
    },
    {
      "id": "M06",
      "score": 0,
      "objectives": [
        {
          "id": "M06_1",
          "value": "no"
        }
      ]
    },
    {
      "id": "M07",
      "score": 0,
      "objectives": [
        {
          "id": "M07_1",
          "value": "no"
        }
      ]
    },
    {
      "id": "M08",
      "score": 0,
      "objectives": [
        {
          "id": "M08_1",
          "value": "neither"
        }
      ]
    },
    {
      "id": "M09",
      "score": 0,
      "objectives": [
        {
          "id": "M09_1",
          "value": "no"
        },
        {
          "id": "M09_2",
          "value": "0"
        }
      ]
    },
    {
      "id": "M10",
      "score": 0,
      "objectives": [
        {
          "id": "M10",
          "value": "no"
        }
      ]
    },
    {
      "id": "M11",
      "score": 0,
      "objectives": [
        {
          "id": "M11_1",
          "value": "no"
        },
        {
          "id": "M11_2",
          "value": "no"
        }
      ]
    },
    {
      "id": "M12",
      "score": 15,
      "objectives": [
        {
          "id": "M12_1",
          "value": "1"
        },
        {
          "id": "M12_4",
          "value": 1
        }
      ]
    },
    {
      "id": "M13",
      "score": 0,
      "objectives": [
        {
          "id": "M13",
          "value": "0"
        }
      ]
    },
    {
      "id": "M14",
      "score": 60,
      "objectives": [
        {
          "id": "precision",
          "value": "6"
        }
      ]
    }
  ],
  "score": 75,
  "challenge": "CITY SHAPER",
  "teamNumber": 1,
  "matchId": "5c15314cbfd6192f5859ac04",
  "round": 1,
  "stage": "ranking",
  "noShow": false,
  "signature": {
    "isEmpty": false,
    "dataUrl": "data:image/png;base64,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"
  }
}