DraftKings

Live coverage of DraftKings via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: US retail sportsbook. Source key: draftkings.

Supported sports + markets (last 72h)

americanfootball_ncaaf (4 markets)

• spreads 36,292 rows
• moneyline 36,278 rows
• player_anytime_td 28,916 rows
• totals 18,149 rows

americanfootball_nfl (21 markets)

• 1H_spread 6,964 rows
• 1H_h2h 6,964 rows
• Q1_total 6,962 rows
• 2H_h2h 6,962 rows
• 2H_total 6,962 rows
• Q1_h2h 6,962 rows
• Q1_spread 6,962 rows
• 2H_spread 6,962 rows
• 1H_total 6,962 rows
• Q2_total 6,582 rows
• Q3_spread 6,582 rows
• Q4_h2h 6,582 rows
• Q3_total 6,582 rows
• Q4_total 6,582 rows
• Q2_spread 6,582 rows
• Q3_h2h 6,582 rows
• Q4_spread 6,582 rows
• Q2_h2h 6,582 rows
• player_anytime_td 6,399 rows
• moneyline 5,180 rows

baseball_mlb (7 markets)

• player_combined_batter_hits 10,002 rows
• player_combined_batter_total_bases 7,602 rows
• player_combined_batter_singles 3,660 rows
• player_either_batter_total_bases 3,467 rows
• player_either_batter_hits 3,393 rows
• player_combined_batter_rbis 3,127 rows
• player_either_batter_rbis 2,769 rows

basketball_nba (15 markets)

• player_correct_score 7,236 rows
• player_either_player_points_scored_milestones 5,713 rows
• spreads 5,388 rows
• moneyline 5,376 rows
• player_points_milestones 4,737 rows
• player_correct_score___end_of_1st_quarter 4,717 rows
• player_both_players_points_scored_milestones 4,242 rows
• player_either_player_three_pointers_made_milestones 4,135 rows
• player_most_points_h2h_ml 4,061 rows
• player_winning_margin_1st_half_/_winning_margin_final 3,451 rows
• player_both_players_three_pointers_made_milestones 3,279 rows
• player_correct_score___end_of_3rd_quarter 3,172 rows
• player_winning_margin_1st_quarter_/_winning_margin_final 2,993 rows
• player_correct_score___end_of_2nd_quarter 2,872 rows
• totals 2,695 rows

icehockey_nhl (11 markets)

• player_combined_player_shots_on_goal_milestones 53,132 rows
• player_either_player_shots_on_goal_milestones 34,936 rows
• player_combined_player_points_milestones 17,641 rows
• player_correct_score 14,880 rows
• player_correct_score_(excl_ot) 13,379 rows
• player_either_player_points_milestones 12,916 rows
• player_either_player_first_goalscorer 9,550 rows
• player_combined_player_goals_milestones 8,320 rows
• player_either_player_goals_milestones 8,212 rows
• player_winning_margin_(excl_ot) 3,256 rows
• player_winning_margin 2,650 rows

tennis_atp (2 markets)

• moneyline 4,536 rows
• spreads 4,534 rows

How to query just this book

curl -s 'https://parlay-api.com/v1/sports/baseball_mlb/odds?regions=us&markets=h2h&bookmakers=draftkings' \
  -H "X-API-Key: $PARLAY_API_KEY"

How freshness is graded

We poll DraftKings 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 DraftKings, 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=draftkings.

Related

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