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 (4 markets)

• h2h 66,818 rows
• spreads 2,388 rows
• moneyline 2,018 rows
• totals 1,197 rows

americanfootball_nfl (5 markets)

• h2h 25,512 rows
• player_spread 1,172 rows
• moneyline 992 rows
• player_points 585 rows
• spreads 408 rows

baseball_mlb (21 markets)

• h2h 195,234 rows
• player_to_hit_a_home_run 43,384 rows
• player_to_record_a_hit 31,714 rows
• player_total_bases_alt 13,107 rows
• player_hits_alt 11,745 rows
• player_run_line 7,495 rows
• player_runs 6,379 rows
• moneyline 6,064 rows
• player_home_runs_alt 6,008 rows
• player_hits 5,378 rows
• player_home_runs 5,348 rows
• player_runs_alt 5,275 rows
• spreads 4,043 rows
• player_singles 3,317 rows
• player_doubles 3,293 rows
• player_triples 3,220 rows
• player_first_home_run 2,964 rows
• player_stolen_bases_alt 2,588 rows
• player_strikeouts_alt 1,812 rows
• totals 671 rows

basketball_nba (6 markets)

• player_points 10,131 rows
• moneyline 6,982 rows
• player_rebounds 6,816 rows
• player_spread 6,094 rows
• player_assists 5,692 rows
• h2h 5,300 rows

basketball_wnba (13 markets)

• h2h 12,266 rows
• player_points_alt 2,065 rows
• player_rebounds_alt 1,477 rows
• player_assists_alt 1,028 rows
• player_points 1,016 rows
• player_rebounds 665 rows
• player_pts_rebs 520 rows
• player_pts_rebs_asts 493 rows
• player_threes 433 rows
• player_assists 409 rows
• player_threes_made_milestones_2_or_more 375 rows
• player_threes_made_milestones_1_or_more 373 rows
• player_threes_made_milestones_3_or_more 362 rows

icehockey_nhl (1 markets)

• h2h 2,750 rows

soccer_usa_mls (2 markets)

• h2h 1,894 rows
• moneyline 342 rows

tennis_atp (1 markets)

• moneyline 1,424 rows

tennis_itf_m15_hurghada_egy (1 markets)

• moneyline 577 rows

tennis_itf_m15_maanshan_chn (1 markets)

• moneyline 4,388 rows

tennis_itf_m15_monastir_tun (1 markets)

• moneyline 441 rows

tennis_itf_m25_taipei_tpe (1 markets)

• moneyline 5,328 rows

tennis_itf_w15_tianjin_chn (1 markets)

• moneyline 1,987 rows

tennis_utr (1 markets)

• moneyline 5,855 rows

tennis_wta (1 markets)

• moneyline 1,636 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