FanDuel

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

Supported sports + markets (last 72h)

americanfootball_nfl (5 markets)

• totals 1,526 rows
• player_spread 1,198 rows
• moneyline 1,120 rows
• player_points 604 rows
• spreads 544 rows

baseball_mlb (21 markets)

• player_hits 100,924 rows
• player_total_bases_alt 9,091 rows
• player_hits_alt 8,763 rows
• moneyline 6,271 rows
• player_home_runs_alt 4,192 rows
• player_to_record_a_hit 4,078 rows
• player_to_hit_a_home_run 4,072 rows
• player_total_bases 4,062 rows
• player_runs 2,419 rows
• player_home_runs 2,400 rows
• player_runs_alt 2,282 rows
• player_doubles 2,221 rows
• player_singles 2,192 rows
• player_stolen_bases_alt 2,041 rows
• player_triples 2,037 rows
• totals 1,980 rows
• player_strikeouts_alt 1,333 rows
• player_run_line 791 rows
• spreads 584 rows
• player_strikeouts 289 rows

basketball_nba (9 markets)

• player_points 16,331 rows
• player_rebounds 11,332 rows
• player_assists 5,160 rows
• player_points_alt 854 rows
• player_method_of_first_basket 735 rows
• player_rebounds_alt 664 rows
• player_assists_alt 604 rows
• player_pts_rebs 212 rows
• player_pts_rebs_asts 211 rows

icehockey_nhl (10 markets)

• player_shots_on_goal 17,528 rows
• player_points 9,880 rows
• player_goals 7,077 rows
• player_first_goal_scorer 1,117 rows
• player_anytime_goal 1,041 rows
• player_points_alt 431 rows
• player_last_goal_scorer 273 rows
• player_anytime_goal_scorer 268 rows
• player_assists_alt 191 rows
• player_to_score_2_or_more_goals 185 rows

tennis (1 markets)

• moneyline 926 rows

tennis_atp (1 markets)

• moneyline 344 rows

tennis_atp_atp_geneva_switzerland__round_of_16 (1 markets)

• moneyline 284 rows

tennis_atp_atp_hamburg_germany__round_of_16 (1 markets)

• moneyline 191 rows

tennis_itf_austria_futures (1 markets)

• moneyline 198 rows

tennis_itf_bol (1 markets)

• moneyline 194 rows

tennis_itf_bosnia_futures (1 markets)

• moneyline 237 rows

tennis_itf_estepona (1 markets)

• moneyline 189 rows

tennis_itf_grado (1 markets)

• moneyline 203 rows

tennis_itf_kosice (1 markets)

• moneyline 216 rows

tennis_itf_portoroz (1 markets)

• moneyline 220 rows

tennis_itf_spain_futures (1 markets)

• moneyline 261 rows

tennis_itf_tunisia_futures (1 markets)

• moneyline 261 rows

tennis_utr (1 markets)

• moneyline 200 rows

tennis_wta (1 markets)

• moneyline 311 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 classify FanDuel as US marquee book 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.

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