Track DraftKings line movement with the API

Two histories, two shapes

Line movement comes from two separate endpoints, and the data has limits. Recording began around 2026-11-03. Retained history is short, and it is not a complete opening-to-close archive. It does not contain seasons of past lines, and there is no public graded-results endpoint.

/api/v1/changes is an alias for Pick6 history, not sportsbook history.

Establish a baseline

First captures establish a baseline. Pick6 history records actual offer changes, not every capture or live-stat tick, so unchanged captures and a moving live stat create no rows. Empty history is valid until an offer change is observed, and a new market has no change row until it first moves.

Follow Pick6 changes

Request history with after=0 and limit=100. Continue with pagination.next_after as after and offset=0. Persist the last processed change_id only after processing a page, and preserve the compound market identity across changes.

curl --fail-with-body "https://draftkingsapi.com/api/v1/pick6/history?sport=NHL&stat=Shots%20on%20Goal&after=0&limit=100" \
  -H "Authorization: Bearer $DRAFTKINGS_API_KEY"

python3 line-movement.py --dataset pick6 --sport NHL --stat "Shots on Goal" \
  --max-pages 3 --state .line-movement-cursor.json

Compute a Pick6 move

A pickable_market_id holds one target value. In the line movement study, no market id ever changed target, so history rows record multiplier and availability changes, and they never show a line move directly. To follow a line, compare the main target of the same player and stat between captures across rows. For multipliers, compare data fields with previous, one selection side at a time. A recorded soccer row moved a Yes selection from 2.4x to 2.5x, and in that same change the selection_id and source_url also differed. So match selections by side, not by selection_id, and do not assume that a changed ID means a new market.

def pick6_moves(row):
    before = {s["side"]: s for s in (row.get("previous") or {}).get("selections", [])}
    moves = []
    if row.get("previous") and row["target_value"] != row["previous"]["target_value"]:
        moves.append(("target", row["previous"]["target_value"], row["target_value"]))
    for selection in row["selections"]:
        old = before.get(selection["side"])
        if old and old["standings_multiplier"] != selection["standings_multiplier"]:
            moves.append((selection["side"], old["standings_multiplier"],
                          selection["standings_multiplier"]))
    return moves

Pick6 rows carry standings multipliers such as 1.5x. A standings multiplier is not decimal odds, a probability or an established entry payout. A multiplier change is a change in that displayed value. It should not be described as a probability shift. A row can also change only in fields such as source_url, so an empty move list is a normal result.

Follow sportsbook history

As of 2026-11-03, native sportsbook scopes cover New York NFL, NHL, college basketball and college football game lines and New York NHL Shots on Goal, points, assists, saves, goalscorers, power-play points and first-period shots. Read snapshots and streamed changes through the sportsbook endpoints. ESPN-attributed DraftKings moneyline, spread and total observations are also available across eight leagues. Current scope inventory is listed at /api/v1/sportsbook/scopes. Each history row has seq, offer_id, observed_at and the offer under data. Sort by seq, group by offer_id, and compare neighbors.

curl --fail-with-body "https://draftkingsapi.com/api/v1/history?sport=NBA&market=total&limit=100" \
  -H "Authorization: Bearer $DRAFTKINGS_API_KEY"

from itertools import groupby

rows = sorted(rows, key=lambda r: (r["offer_id"], int(r["seq"])))
for offer_id, group in groupby(rows, key=lambda r: r["offer_id"]):
    series = [r["data"] for r in group]
    for old, new in zip(series, series[1:]):
        if (old["line"], old["american"]) != (new["line"], new["american"]):
            print(offer_id, old["line"], old["american"], "->", new["line"], new["american"])

Check whether the offer_id stays stable for a market you care about, and compare by event_id, market and side if it does not. Run python3 line-movement.py --dataset sportsbook --sport NBA --market total --max-pages 3 --state .line-movement-cursor.json for a working version.

What a recorded move can claim

A move here is a difference between two captures. Its timing is bounded by capture cadence, because the source update clock is unknown. Partial collection means moves can go unrecorded, and a large step may be several moves we did not see.

• Do not call the first recorded value an opening line, or the last one a closing line.
• Disappearance from a partial category is not settlement, and previously observed rows can remain in projections.
• Do not present this as a complete archive, or use it to claim a trading edge.
• Do not report a move from an event with event_status: post as a live price.

The line movement study and coverage report show what has been recorded so far. Counts are measured there rather than repeated here.

Run it on a schedule

Poll on the collector's interval or slower. Polling faster returns no newer data. Move to the stream or webhooks only if you need to react to each change, and read the webhook guide for those.

Check the recorded data

• Recorded line movement study
• Recorded line moves
• Measured coverage report

Related resources