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 32,391 rows
• moneyline 31,024 rows
• player_anytime_td 30,008 rows
• totals 15,578 rows

americanfootball_nfl (33 markets)

• player_anytime_td 30,977 rows
• player_rec_yds 15,832 rows
• player_receptions 11,130 rows
• player_rush_yds 10,868 rows
• player_race_to_x_receptions 8,747 rows
• moneyline 8,148 rows
• spreads 8,148 rows
• player_combined_receiving_yards_milestones 5,305 rows
• player_race_to_x_receiving_yards 4,375 rows
• totals 4,074 rows
• Q4_total 4,056 rows
• Q3_total 4,056 rows
• Q1_h2h 4,056 rows
• Q2_total 4,056 rows
• 2H_spread 4,056 rows
• Q1_total 4,056 rows
• Q2_h2h 4,056 rows
• 1H_total 4,056 rows
• Q4_spread 4,056 rows
• Q3_spread 4,056 rows

basketball_nba (10 markets)

• spreads 6,934 rows
• player_correct_score 6,230 rows
• moneyline 6,061 rows
• player_points_milestones 3,632 rows
• player_winning_margin_1st_half_/_winning_margin_final 3,241 rows
• player_winning_margin_1st_quarter_/_winning_margin_final 3,062 rows
• totals 3,030 rows
• player_correct_score___end_of_3rd_quarter 2,875 rows
• player_both_players_points_scored_milestones 2,687 rows
• player_either_player_points_scored_milestones 2,481 rows

icehockey_nhl (11 markets)

• player_correct_score 23,768 rows
• player_correct_score_(excl_ot) 22,607 rows
• player_combined_player_shots_on_goal_milestones 12,379 rows
• player_either_player_shots_on_goal_milestones 7,448 rows
• player_combined_player_points_milestones 5,672 rows
• player_winning_margin_(excl_ot) 5,447 rows
• player_winning_margin 4,211 rows
• player_either_player_points_milestones 3,446 rows
• player_team_total_number_of_goals_(excl_ot) 3,325 rows
• spreads 2,786 rows
• moneyline 2,723 rows

tennis_atp (2 markets)

• moneyline 3,730 rows
• spreads 3,543 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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