How do I get both teams to score odds history in Python?

The call

game_id comes from list_games. Other markets: draw no bet, double chance, and the 1st half result, total and handicap.

import requests
import pandas as pd

API_KEY = "YOUR_API_KEY"

resp = requests.post(
    "https://mcp.strikerapi.com/v1/get_market_odds",
    headers={"x-api-key": API_KEY},
    json={
        "game_id": "401878763",
        "market": "btts",
    },
    timeout=60,
)
resp.raise_for_status()
data = resp.json()["data"]

books = pd.DataFrame([
    {"book": b["bookmaker"], **{f'{o["outcome"]} {o["point"] if o["point"] is not None else ""}'.strip(): o["price"] for o in b["closing"]}}
    for b in data["books"]
])
print(data["label"])
print(books)

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.

Or use the official client: pip install strikerapi

What comes back

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

{
  "game_id": "401878763",
  "market": "btts",
  "label": "both teams to score: Yes or No",
  "scheduled_start": "2026-10-31T15:00:00.000Z",
  "books": [
    {
      "bookmaker": "draftkings",
      "opening": [
        {
          "outcome": "No",
          "point": null,
          "price": 115
        },
        {
          "outcome": "Yes",
          "point": null,
          "price": -145
        }
      ],
      "opening_captured_at": "2026-10-31T14:25:36.000Z",
      "closing": [
        {
          "outcome": "No",
          "point": null,
          "price": 115
        },
        {
          "outcome": "Yes",
          "point": null,
          "price": -145
        }
      ],
      "closing_captured_at": "2026-10-31T14:25:36.000Z",
      "minutes_before_start": 34.4
    },
    {
      "bookmaker": "fanduel",
      "opening": [
        {
          "outcome": "No",
          "point": null,
          "price": 114
        },
        {
          "outcome": "Yes",
          "point": null,
          "price": -146
        }
      ],
      "opening_captured_at": "2026-10-31T14:25:36.000Z",
      "closing": [
        {
          "outcome": "No",
          "point": null,
          "price": 114
        },
        {
          "outcome": "Yes",
          "point": null,
          "price": -146
        }
      ],
      "closing_captured_at": "2026-10-31T14:25:36.000Z",
      "minutes_before_start": 34.4
    },
    "...2 more"
  ],
  "count": 4
}

What to do next

• list_games (2 credits). Find the matches of a date, club or season.
• get_game (5 credits). The match itself: box scores, players and key events.

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The same guide for other sports

• PuckAPI: How do I get NHL opening and closing odds by sportsbook in Python?
• EndzoneAPI: How do I backtest NFL closing lines in Python?
• FighterAPI: How do I compare UFC closing odds with fight results in Python?
• DunkAPI: How do I backtest NBA closing lines in Python?
• AcesAPI: How do I compare ATP closing odds with the result and Elo in Python?
• BirdieAPI: How do I turn golf major winner odds into probabilities in Python?
• FastballAPI: How do I backtest MLB closing moneylines and run totals in Python?