Odds API by market / MLS

MLS Player to be Carded API

Live player_cards odds across every book that posts it, in one REST call — and, unlike any other odds API, every one of those outcomes settled against the official result once play ends.

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What MLS player to be carded is

Will this player be booked. Priced off referee tendency and fixture temperature as much as off the player, which is why it moves on the referee appointment.

How we settle it. Graded from the player's yellow and red cards in the match. A second yellow is not counted twice.

books quoting it on the next event

4/12

of the next MLS events carry it right now

287

outcomes settled in the last 4 days

Every number on this page is measured against the live API, never copied from a spec sheet. Last measured 16 August 2026.

Books posting MLS player to be carded

Measured live, not listed from a spec. Coverage moves — a book that has not put its board up yet will not appear until it does, which is exactly what this list is for.

ReBet

Line shopping across all of them is one request — every book arrives in the same bookmakers array, not one call per book. Add ?bookmakers= to narrow it, or use /best-line for the best price per line already ranked.

Recently settled MLS player to be carded outcomes

These are real rows out of the API, not an illustration. Each one was a price on a board before the event and carries the actual figure it was graded against afterwards. No other odds API returns that last column — they stop at the price.

287 player to be carded outcomes settled in the last 4 days across 1 book. The 12 most recent:

Player	Game	Book	Bet	Price	Actual	Result
—	San Diego FC @ Los Angeles FC	rebet	Aaron Long	320	—	void
—	San Diego FC @ Los Angeles FC	rebet	Alex Mighten	320	—	void
—	San Diego FC @ Los Angeles FC	rebet	Anders Dreyer	550	0.0	lost
—	San Diego FC @ Los Angeles FC	rebet	David Martinez	255	—	void
—	San Diego FC @ Los Angeles FC	rebet	Jacob Shaffelburg	550	0.0	lost
—	San Diego FC @ Los Angeles FC	rebet	Jeppe Tverskov	208	0.0	lost
—	San Diego FC @ Los Angeles FC	rebet	Jeremy Ebobisse	550	0.0	lost
—	San Diego FC @ Los Angeles FC	rebet	Jude Terry	300	—	void
—	San Diego FC @ Los Angeles FC	rebet	Luca Bombino	138	0.0	lost
—	San Diego FC @ Los Angeles FC	rebet	Manu Duah	138	0.0	lost
—	San Diego FC @ Los Angeles FC	rebet	Mark Delgado	300	1.0	won
—	San Diego FC @ Los Angeles FC	rebet	Mathieu Choiniere	320	1.0	won

Hit rate, last 4 days

13% of 207 settled player to be carded legs hit (27 yes, 180no). Counted on the YES side only — books that price this two-way contribute their Over leg, not both. That is the base rate across the whole priced field, not a per-player figure.

Read off 207 YES legs out of 287 settled outcomes on this market. The rest are the Under side from books that price it two-way, which answers a different question.

Per-player hit rates and L5 / L10 / L20 splits live on /trends.

Live response

Captured from the real endpoint on Portland Timbers @ Chicago Fire, trimmed to one book and three outcomes so the shape stays readable. The full response carries every book and every line, alternates included, in the same call.

{
  "id": "95968",
  "sport_key": "soccer_mls",
  "home_team": "Chicago Fire",
  "away_team": "Portland Timbers",
  "commence_time": "2026-08-16T22:10:00Z",
  "live": true,
  "last_update": "2026-08-16T22:44:15.581772Z",
  "bookmakers": [
    {
      "key": "rebet",
      "title": "ReBet",
      "last_update": "2026-08-16T22:01:55.171529Z",
      "link": null,
      "book_event_id": null,
      "markets": [
        {
          "key": "player_cards",
          "last_update": "2026-08-16T21:59:28.105167Z",
          "period": null,
          "suspended_at": null,
          "outcomes": [
            {
              "name": "Ariel Lassister",
              "description": "",
              "price": 275,
              "point": null,
              "book_updated_at": null,
              "book_version": null,
              "payout_multiplier": null,
              "dfs_odds_type": null,
              "last_change_at": "2026-08-16T21:14:15.929153Z",
              "line_gap": null,
              "book_outcome_id": null
            },
            {
              "name": "Brandon Bye",
              "description": "",
              "price": 320,
              "point": null,
              "book_updated_at": null,
              "book_version": null,
              "payout_multiplier": null,
              "dfs_odds_type": null,
              "last_change_at": "2026-08-16T21:14:15.929153Z",
              "line_gap": null,
              "book_outcome_id": null
            },
            {
              "name": "Andrew Gutman",
              "description": "",
              "price": 255,
              "point": null,
              "book_updated_at": null,
              "book_version": null,
              "payout_multiplier": null,
              "dfs_odds_type": null,
              "last_change_at": "2026-08-16T21:14:15.929153Z",
              "line_gap": null,
              "book_outcome_id": null
            }
          ]
        }
      ]
    }
  ]
}

The response shape is the-odds-api compatible — events, bookmakers, markets, outcomes — so migrating is usually a base URL change.

Try it

1. List MLS events to get an event id:

curl "https://api.prop-line.com/v1/sports/soccer_mls/events?apiKey=YOUR_API_KEY"

2. Pull player to be carded for one game across every book — this exact URL works right now:

curl "https://api.prop-line.com/v1/sports/soccer_mls/events/95968/odds?apiKey=YOUR_API_KEY&markets=player_cards"

3. After the game, get the graded outcomes with the actual stat:

curl "https://api.prop-line.com/v1/sports/soccer_mls/events/95968/results?apiKey=YOUR_API_KEY"

Steps 1 and 2 run on the free tier. Step 3 — prop resolution — starts on Hobby at $9/mo. See pricing.

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