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 47,197 rows
• spreads 1,190 rows
• moneyline 1,007 rows
• totals 594 rows

americanfootball_nfl (4 markets)

• h2h 12,379 rows
• player_spread 386 rows
• moneyline 232 rows
• player_points 192 rows

baseball_mlb (20 markets)

• player_total_bases_alt 5,503 rows
• player_hits_alt 4,051 rows
• h2h 3,875 rows
• player_home_runs_alt 2,592 rows
• player_runs_alt 1,934 rows
• player_runs 1,427 rows
• player_doubles 1,401 rows
• player_home_runs 1,380 rows
• player_hits 1,375 rows
• player_singles 1,365 rows
• player_triples 1,357 rows
• player_to_record_a_hit 1,339 rows
• player_to_hit_a_home_run 1,325 rows
• player_strikeouts_alt 745 rows
• player_first_home_run 702 rows
• player_stolen_bases_alt 701 rows
• moneyline 234 rows
• player_run_line 229 rows
• spreads 189 rows
• player_strikeouts 141 rows

basketball_nba (6 markets)

• player_points 7,275 rows
• player_rebounds 5,250 rows
• player_assists 4,381 rows
• h2h 3,920 rows
• player_spread 3,735 rows
• moneyline 3,309 rows

basketball_wnba (12 markets)

• h2h 1,952 rows
• player_points_alt 1,085 rows
• player_rebounds_alt 779 rows
• player_assists_alt 546 rows
• player_points 257 rows
• player_pts_rebs 220 rows
• player_rebounds 213 rows
• player_pts_rebs_asts 182 rows
• player_threes_made_milestones_2_or_more 178 rows
• player_threes_made_milestones_1_or_more 171 rows
• player_threes_made_milestones_3_or_more 168 rows
• player_threes 137 rows

icehockey_nhl (1 markets)

• h2h 1,935 rows

soccer_italy_serie_a (1 markets)

• h2h 224 rows

soccer_usa_mls (2 markets)

• h2h 1,078 rows
• moneyline 196 rows

tennis_atp (1 markets)

• moneyline 159 rows

tennis_atp_challenger_augsburg_2026 (1 markets)

• moneyline 682 rows

tennis_itf_m15_cap_d_agde_fra_q (1 markets)

• moneyline 398 rows

tennis_itf_m25_lausanne_sui_q (1 markets)

• moneyline 546 rows

tennis_itf_m25_oviedo_esp_q (1 markets)

• moneyline 543 rows

tennis_itf_w35_trieste_ita_q (1 markets)

• moneyline 754 rows

tennis_itf_w35_verbier_sui_q (1 markets)

• moneyline 235 rows

tennis_itf_women_w50_kursumlijska_banja_srb_q (1 markets)

• moneyline 1,053 rows

tennis_utr (1 markets)

• moneyline 1,481 rows

tennis_wta (1 markets)

• moneyline 344 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