How often does an NBA guard go over his steals line?
One row per game with a player's steals line, the price, how many he took and whether he went over. Dyson Daniels went over in 37 of 74.
Code verified October 21, 2026. One call to get_prop_history, 10 credits.
The call
player_id comes from search_players. Other markets: points, rebounds, assists, threes, points + rebounds + assists and blocks. A steals line can sit at 2.5 for weeks and then drop to 1.5, so read the line column, not only the rate.
import requests
import pandas as pd
API_KEY = "YOUR_API_KEY"
resp = requests.post(
"https://mcp.dunkapi.com/v1/get_prop_history",
headers={"x-api-key": API_KEY},
json={
"player_id": "4869342",
"market": "player_steals",
"from_date": "2025-10-01",
"to_date": "2026-04-15",
"limit": 100,
},
timeout=60,
)
resp.raise_for_status()
data = resp.json()["data"]
games = pd.DataFrame(data["games"])
s = data["summary"]
print(data["player_name"], data["stat"], "|", s["overs"], "overs,", s["unders"], "unders, over rate", s["over_rate"])
print("average line", s["avg_line"], "average actual", s["avg_actual"])
print(games[["game_date", "open_line", "line", "actual", "result"]].tail(6).to_string(index=False))
# By month: did the books follow his steals, or did the line lag?
games["month"] = games["game_date"].str[:7]
games["over"] = (games["result"] == "over").astype(int)
print(games.groupby("month").agg(games=("over", "size"), overs=("over", "sum"), avg_line=("line", "mean"), avg_steals=("actual", "mean")).round(2))
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 dunkapi
What comes back
The data object of the response, trimmed to the first rows. Every field is real output from the run above.
{
"player_id": "4869342",
"player_name": "Dyson Daniels",
"market": "player_steals",
"stat": "steals",
"bookmaker": null,
"games": [
{
"game_id": "401809935",
"game_date": "2025-10-22",
"line": 2.5,
"open_line": 2.5,
"over_odds": -129,
"under_odds": -103,
"books": 3,
"actual": 2,
"result": "under",
"margin": -0.5
},
{
"game_id": "401809943",
"game_date": "2025-10-24",
"line": 2.5,
"open_line": 2.5,
"over_odds": 100,
"under_odds": -130,
"books": 3,
"actual": 2,
"result": "under",
"margin": -0.5
},
{
"game_id": "401809956",
"game_date": "2025-10-25",
"line": 2.5,
"open_line": 2.5,
"over_odds": 148,
"under_odds": -230,
"books": 4,
"actual": 1,
"result": "under",
"margin": -1.5
},
{
"game_id": "401809970",
"game_date": "2025-10-27",
"line": 2.5,
"open_line": 2.5,
"over_odds": 115,
"under_odds": -160,
"books": 3,
"actual": 3,
"result": "over",
"margin": 0.5
}
],
"count": 74,
"summary": {
"games": 74,
"graded": 74,
"overs": 37,
"unders": 37,
"pushes": 0,
"over_rate": 0.5,
"avg_line": 2,
"avg_actual": 1.9
},
"truncated": false,
"next_from_date": null
}The example player is Dyson Daniels. The record against the line, market by market, is on the Dyson Daniels prop history page.
What to do next
- get_player_props (10 credits). Every sportsbook's steals line for tonight's game.
- get_player_games (5 credits). The player's steals, minutes and turnovers by game.
More guides
The same guide for other sports
The latest lines from every book are on the odds board. Today's props, with the best price on each side, are on the player props board. Rather ask Claude? 16 free Claude skills call these endpoints for you.
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