FanDuel

Live coverage of FanDuel via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: US retail sportsbook. Source key: fanduel.

Supported sports + markets (last 72h)

americanfootball_ncaaf (8 markets)

• spreads 49,754 rows
• player_anytime_td 38,043 rows
• moneyline 27,875 rows
• totals 21,258 rows
• h2h 6,743 rows
• player_rec_yds 5,889 rows
• player_rush_yds 3,377 rows
• player_receptions 2,828 rows

americanfootball_nfl (30 markets)

• player_anytime_td 75,449 rows
• player_rush_yds 26,588 rows
• player_rec_yds 26,414 rows
• player_receptions 26,302 rows
• spreads 26,135 rows
• totals 25,062 rows
• moneyline 17,944 rows
• Q4_total 13,246 rows
• Q4_h2h 13,246 rows
• Q2_h2h 13,246 rows
• 2H_spread 13,246 rows
• Q3_h2h 13,246 rows
• Q1_total 13,246 rows
• Q2_total 13,246 rows
• 2H_total 13,246 rows
• Q4_spread 13,246 rows
• Q1_h2h 13,246 rows
• Q3_total 13,246 rows
• Q1_spread 13,246 rows
• Q2_spread 13,246 rows

baseball_mlb (3 markets)

• spreads 3,874 rows
• player_home_runs 3,376 rows
• player_runs 2,680 rows

basketball_nba (8 markets)

• player_points 42,434 rows
• player_rebounds 26,086 rows
• player_assists 14,370 rows
• totals 10,122 rows
• moneyline 9,333 rows
• spreads 8,833 rows
• h2h 2,785 rows
• player_spread 2,761 rows

icehockey_nhl (8 markets)

• player_anytime_goal 37,639 rows
• player_first_goal_scorer 31,885 rows
• spreads 18,114 rows
• player_points 17,268 rows
• totals 9,660 rows
• moneyline 9,568 rows
• player_puck_line 2,490 rows
• h2h 2,448 rows

tennis_atp (1 markets)

• moneyline 3,061 rows

tennis_atp_challenger_seoul_2026 (1 markets)

• moneyline 3,482 rows

tennis_wta (1 markets)

• moneyline 4,933 rows

How to query just this book

curl -s 'https://parlay-api.com/v1/sports/baseball_mlb/odds?regions=us&markets=h2h&bookmakers=fanduel' \
  -H "X-API-Key: $PARLAY_API_KEY"

How freshness is graded

We poll FanDuel on the US marquee book freshness tier, which means we expect a new observation within 15s under healthy operation. Observations between 15s and 60s are flagged "degraded". Between 60s and 300s we mark "breach" and page an operator. Beyond 300s the source is "stale" and we typically pause comparisons against it until it recovers.

These thresholds are measured on the book as a whole: they say how long we can go without any new price from FanDuel, and not how old the price on one particular game is. A source that walks its slate one event at a time refreshes any single market less often than the tier above. Measured on production 2026-07-31, Fliff wrote a price every 5.3s at the median book-wide while its median WNBA game went 169s between writes, both healthy. For the age of a specific price, read the last_update field on that row rather than this tier.

Full per-book threshold table at /v1/meta/per-book-sla. Live operator dashboard at /uptime. Historical hourly observation rate at /v1/historical/source-quality.csv?source=fanduel.

Related

← All sportsbooks · Cross-book coverage matrix · Operator uptime · Machine-readable parser coverage