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 (5 markets)

• h2h 29,548 rows
• player_anytime_touchdown_scorer 3,313 rows
• player_to_score_2_or_more_touchdowns 3,022 rows
• moneyline 2,631 rows
• spreads 2,584 rows

americanfootball_nfl (25 markets)

• Q1_h2h 42,334 rows
• Q1_total 42,334 rows
• Q1_spread 42,330 rows
• 1H_h2h 42,330 rows
• Q2_h2h 42,330 rows
• Q2_total 42,330 rows
• Q2_spread 42,326 rows
• 1H_total 42,326 rows
• 1H_spread 42,326 rows
• Q3_h2h 42,310 rows
• Q3_spread 42,310 rows
• Q3_total 42,310 rows
• 2H_spread 42,298 rows
• 2H_total 42,298 rows
• Q4_total 42,298 rows
• Q4_spread 42,298 rows
• 2H_h2h 42,098 rows
• Q4_h2h 42,098 rows
• player_anytime_touchdown_scorer 24,260 rows
• player_first_touchdown_scorer 19,068 rows

baseball_mlb (18 markets)

• h2h 56,991 rows
• player_to_hit_a_home_run 25,869 rows
• player_to_record_a_hit 22,882 rows
• player_total_bases_alt 15,440 rows
• player_hits_alt 14,569 rows
• moneyline 9,307 rows
• player_home_runs_alt 7,348 rows
• player_runs 7,340 rows
• player_run_line 7,117 rows
• player_runs_alt 6,940 rows
• player_home_runs 5,917 rows
• player_hits 5,798 rows
• spreads 3,855 rows
• player_singles 3,849 rows
• player_first_home_run 3,796 rows
• player_doubles 3,756 rows
• player_triples 3,717 rows
• player_stolen_bases_alt 3,187 rows

basketball_nba (6 markets)

• player_points 9,167 rows
• player_rebounds 6,152 rows
• player_spread 5,787 rows
• player_assists 5,138 rows
• moneyline 4,767 rows
• h2h 3,108 rows

basketball_wnba (1 markets)

• h2h 2,488 rows

tennis_itf_m25_sapporo_jpn (1 markets)

• moneyline 2,400 rows

tennis_itf_w15_yeongwol_kor (1 markets)

• moneyline 2,514 rows

tennis_other (1 markets)

• moneyline 2,883 rows

tennis_utr (1 markets)

• moneyline 4,276 rows

tennis_wta (1 markets)

• moneyline 2,629 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