# DFS Data API: Player Props & Projections for Lineup Tools
URL: https://sockodds.com/use-cases/dfs-data-api/

> A DFS data API for Australian pick'em and lineup tools: player props from the books plus Dabble's pick'em lane, then turn no-vig fair odds into projections.

A DFS data API for Australian pick'em and lineup tools: player props from the books plus Dabble's pick'em lane, then turn no-vig fair odds into projections.

Australia's DFS is pick'em: over/under on a player stat. SockOdds prices 188 player-prop markets from the sportsbooks plus Dabble's pick'em lane (`dabble__pickem`), all under the same `oddID`, with `fairOdds` to turn into projections.

## Why use SockOdds for DFS

- **Sportsbook and pick'em props in one feed.** One `byBookmaker` map per prop.
- **Alternate lines normalised.** `includeAltLines=true`.
- **Implied projections from fair odds.** `fairOverUnder` is a de-vigged consensus line.
- **Player ids.** Production `playerID`s joinable across books and days.
- **Results.** Grade a pick from `results` where the source has them.

## What you can build

### Lineup optimisers

Fair lines as projections, book lines as constraints.

### Pick'em and over/under tools

Compare Dabble's line to the consensus; see [the player props analyzer](https://sockodds.com/docs/examples/player-props-analyzer/).

### Player-prop analysis

Outlier lines across books.

## Example request

```bash
curl "https://api.sockodds.com/v2/events/?leagueID=AFL&oddID=disposals-PLAYER_ID-game-ou-over&includeOpposingOdds=true&bookmakerID=dabble__pickem,sportsbet,tab&limit=1" \
  -H "x-api-key: YOUR_API_KEY"
```

One prop type across every player, the pick'em lane next to the books:

```json
{
  "eventID": "afl_2026-09-03_fremantle_vs_hawthorn",
  "leagueID": "AFL",
  "odds": {
    "points-all-game-eo-odd": {
      "oddID": "points-all-game-eo-odd",
      "opposingOddID": "points-all-game-eo-even",
      "marketName": "Odd/Even Total Points",
      "statID": "points",
      "statEntityID": "all",
      "periodID": "game",
      "betTypeID": "eo",
      "sideID": "odd",
      "fairOdds": null,
      "bookOdds": "-116",
      "byBookmaker": {
        "unibet": {
          "odds": "-115",
          "decimal": 1.87,
          "available": true
        },
        "tabtouch": {
          "odds": "-118",
          "decimal": 1.85,
          "available": true
        }
      }
    }
  }
}
```

## SockOdds vs sourcing DFS data yourself

| Capability | SockOdds | sourcing DFS data yourself |
| --- | --- | --- |
| Sportsbook + pick'em props | One `byBookmaker` map | One integration per site |
| Alternate lines | Normalised | Schemas differ everywhere |
| Implied projections | `fairOverUnder` built in | De-vig each book yourself |
| Player ids | Production `playerID`s | Map by hand |
| Results | On the event where sourced | Join your own box scores |

## Frequently asked questions

### What is a DFS data API in Australia?

A feed of player-prop lines from the books and pick'em apps, normalised for lineup and pick'em tools.

### Does it include Dabble?

Yes — `dabble` and its `dabble__pickem` lane.

### How do I turn odds into projections?

Use `fairOverUnder`, or de-vig the two sides of a book's line.

### Can I get player stats for settlement?

Where the source carries results.

### Is this a DFS contest platform?

No — data only.

### How fresh are the props?

~2 minutes.

## Related use cases

- [Odds API for Positive EV Betting](https://sockodds.com/use-cases/positive-ev-betting-api/): Positive EV betting API with no-vig fairOdds and every AU book's price side by side, so you can surface +EV bets without building your own devig pipeline..
- [Odds API for Parlay Builders](https://sockodds.com/use-cases/parlay-builder-api/): A multi and same-game-multi builder API: pull every market as a leg (props, alt lines, game markets), normalise via oddID, and compute combined odds..
- [Pricing](https://sockodds.com/pricing/): plans priced on request rate and scope, including a free Lite tier with no card.

## Start building today

Free plan available. Set up in 5 minutes. Scale when you're ready.