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How do I make a Premier League xG shot map in Python?

Every located shot a club took in a season, with player, outcome, body part, expected goals and pitch coordinates, plus totals by zone.

Code verified October 10, 2026. One call to get_shot_map, 10 credits.

The call

team takes an abbreviation, a name or an id from list_teams. Season 2025 is 2025-26. Pass against: true to see the shots a club conceded.

import requests
import pandas as pd

API_KEY = "YOUR_API_KEY"

resp = requests.post(
    "https://mcp.strikerapi.com/v1/get_shot_map",
    headers={"x-api-key": API_KEY},
    json={
        "team": "ARS",
        "season": 2025,
    },
    timeout=60,
)
resp.raise_for_status()
data = resp.json()["data"]

shots = pd.DataFrame(data["shots"])
print(data["totals"])
print(pd.DataFrame(data["zones"])[["zone", "shots", "goals", "xg", "conversion"]])
by_player = shots.groupby("player").agg(shots=("xg", "count"), xg=("xg", "sum"), goals=("outcome", lambda s: (s == "goal").sum()))
print(by_player.sort_values("xg", ascending=False).head(8).round(2))
# x is distance from the goal line as a share of half the pitch, y runs across it.
print(shots[["x", "y"]].describe().round(2))

Replace YOUR_API_KEY with a key from your dashboard. Python needs requests and pandas (pip install requests pandas). JavaScript runs on Node 18 or newer, or in the browser.

What comes back

The data object of the response, trimmed to the first rows. Every field is real output from the run above.

{
  "season": 2025,
  "zones": [
    {
      "zone": "six_yard_box",
      "shots": 83,
      "goals": 19,
      "on_target": 28,
      "headers": 53,
      "xg": 26.8,
      "conversion": 0.229,
      "share": 0.16
    },
    {
      "zone": "penalty_area",
      "shots": 298,
      "goals": 34,
      "on_target": 97,
      "headers": 59,
      "xg": 35.57,
      "conversion": 0.114,
      "share": 0.573
    },
    "...2 more"
  ],
  "shots_total": 538,
  "totals": {
    "shots": 538,
    "located": 520,
    "goals": 67,
    "on_target": 169,
    "xg": 72.14,
    "xg_per_shot": 0.139
  },
  "shots": [
    {
      "game_id": "740968",
      "date": "2026-05-24",
      "minute": 4,
      "team": "ARS",
      "player": "Gabriel Jesus",
      "outcome": "woodwork",
      "body_part": "right_foot",
      "zone": "penalty_area",
      "xg": 0.069,
      "x": 0.296,
      "y": 0.362
    },
    {
      "game_id": "740968",
      "date": "2026-05-24",
      "minute": 4,
      "team": "ARS",
      "player": "Noni Madueke",
      "outcome": "saved",
      "body_part": "left_foot",
      "zone": "penalty_area",
      "xg": 0.04,
      "x": 0.282,
      "y": 0.681
    },
    "...518 more"
  ],
  "unlocated_shots": 18
}

What to do next

  • get_events (10 credits). The shots, goals and cards of a single match, with the same xG.
  • get_team_stats (5 credits). Per-match xG for and against, so you do not have to sum shots yourself.

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