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 (10 markets)

• spreads 100,691 rows
• totals 50,035 rows
• h2h 31,145 rows
• moneyline 31,110 rows
• player_rec_yds 23,631 rows
• player_anytime_td 16,355 rows
• player_rush_yds 14,186 rows
• player_receptions 8,806 rows
• player_pass_yds 7,671 rows
• player_pass_tds 7,628 rows

americanfootball_nfl (30 markets)

• player_anytime_td 54,124 rows
• spreads 31,000 rows
• totals 20,746 rows
• player_receptions 15,958 rows
• player_rec_yds 15,942 rows
• moneyline 14,472 rows
• player_rush_yds 13,271 rows
• h2h 8,624 rows
• player_pass_tds 4,713 rows
• player_pass_yds 4,712 rows
• 1H_total 4,030 rows
• Q4_spread 4,030 rows
• Q2_h2h 4,030 rows
• Q3_h2h 4,030 rows
• 2H_h2h 4,030 rows
• Q4_h2h 4,030 rows
• Q4_total 4,030 rows
• Q3_total 4,030 rows
• Q2_total 4,030 rows
• 2H_total 4,030 rows

basketball_nba (8 markets)

• player_points 16,727 rows
• moneyline 10,855 rows
• player_rebounds 10,508 rows
• totals 8,672 rows
• spreads 7,059 rows
• player_assists 5,965 rows
• h2h 2,578 rows
• player_spread 1,282 rows

basketball_ncaab (1 markets)

• h2h 11,184 rows

icehockey_nhl (8 markets)

• player_first_goal_scorer 20,057 rows
• player_anytime_goal 19,651 rows
• player_points 19,531 rows
• totals 5,489 rows
• moneyline 4,802 rows
• h2h 3,115 rows
• spreads 2,812 rows
• player_puck_line 1,170 rows

tennis_atp (1 markets)

• moneyline 3,111 rows

tennis_utr (1 markets)

• moneyline 1,119 rows

tennis_wta (1 markets)

• moneyline 2,897 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