Odds API by market / MLS

MLS Shots on Target API

Live player_shots_on_target 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.

No credit card. 1,000 requests / day on the free tier.

What MLS shots on target is

Shots that force a save or find the net. Strictly a subset of total shots, so the line is always lower for the same player.

How we settle it. Graded against shots on target in the match's player statistics.

1
books quoting it on the next event
3/12
of the next MLS events carry it right now
1,828
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 shots on target

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.

PrizePicks

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 shots on target 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.

1,828 shots on target outcomes settled in the last 4 days across 2 books. The 12 most recent:

PlayerBetActualResult
Aaron LongOver 0.5void
Alejandro AlvaradoOver 0.50.0lost
Alex MightenOver 0.5void
Aníbal GodoyOver 0.50.0lost
Christopher McVeyOver 0.50.0lost
Dagur ThórhallssonOver 0.5void
David VazquezOver 0.5void
Eddie SeguraOver 0.51.0won
Elias AchouriOver 0.50.0lost
Ian MurphyOver 0.50.0lost
Ian PilcherOver 0.5void
Jeppe TverskovOver 0.50.0lost

Over/Under split, last 4 days

The Over won 10.4% of 615 decided shots on target lines (64 over, 551 under, 1 push). Computed from the settled rows themselves, scoped to MLS only.

Read off 914 Over legs out of 1,828 settled outcomes on this market. The rest are Unders and milestone legs (“1+”, “2+”) that some books price here too, and a threshold rung is not an Over.

A few days of one market describes a few days — it is not an edge. Pull the full history through /exports/resolved-props for a sample worth modelling on.

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": "prizepicks",
      "title": "PrizePicks",
      "last_update": "2026-08-16T22:12:08.189909Z",
      "link": null,
      "book_event_id": null,
      "markets": [
        {
          "key": "player_shots_on_target",
          "last_update": "2026-08-16T22:12:08.189909Z",
          "period": null,
          "suspended_at": null,
          "outcomes": [
            {
              "name": "Over",
              "description": "Antony",
              "price": 100,
              "point": 0.5,
              "book_updated_at": null,
              "book_version": null,
              "payout_multiplier": null,
              "dfs_odds_type": "goblin",
              "last_change_at": "2026-08-16T03:39:58.560671Z",
              "line_gap": null,
              "book_outcome_id": null
            },
            {
              "name": "Over",
              "description": "Dawid Poreba",
              "price": 100,
              "point": 0.5,
              "book_updated_at": null,
              "book_version": null,
              "payout_multiplier": null,
              "dfs_odds_type": "goblin",
              "last_change_at": "2026-08-16T03:39:58.560671Z",
              "line_gap": null,
              "book_outcome_id": null
            },
            {
              "name": "Over",
              "description": "Jason Shokalook",
              "price": 100,
              "point": 0.5,
              "book_updated_at": null,
              "book_version": null,
              "payout_multiplier": null,
              "dfs_odds_type": "goblin",
              "last_change_at": "2026-08-16T03:39:58.560671Z",
              "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 shots on target 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_shots_on_target"

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.

Get your free MLS odds API key

1,000 requests / day. No credit card. The same key covers every sport and every market — not just this one.

Free tier includes 1,000 requests/day. Upgrade anytime.