Sleeper

Live coverage of Sleeper via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: DFS pick-em (single price, no two-sided market). Source key: sleeper.

Supported sports + markets (last 72h)

americanfootball_ncaaf (1 markets)

• player_anytime_touchdowns 1,287 rows

americanfootball_nfl (23 markets)

• player_fantasy_points 60,118 rows
• player_receptions 51,077 rows
• player_receiving_yards 49,434 rows
• player_longest_reception 40,633 rows
• player_tackles_and_assists 33,587 rows
• player_assists 32,724 rows
• player_tackles 32,717 rows
• player_anytime_touchdowns 30,017 rows
• player_rushing_yards 22,768 rows
• player_rushing_attempts 17,937 rows
• player_sacks 15,622 rows
• player_longest_rush 14,084 rows
• player_rushing_and_receiving_yards 10,760 rows
• player_passing_yards 8,487 rows
• player_interceptions 8,485 rows
• player_passing_attempts 8,474 rows
• player_longest_passing_completion 8,465 rows
• player_pass_completions 8,459 rows
• player_passing_touchdowns 8,459 rows
• player_extra_point_made 8,132 rows

baseball_mlb (6 markets)

• player_total_bases 3,268 rows
• player_hits 3,170 rows
• player_hits_runs_rbis 3,085 rows
• player_runs 3,015 rows
• player_rbis 2,828 rows
• player_bat_walks 2,288 rows

basketball_nba (11 markets)

• player_points 14,884 rows
• player_rebounds 12,886 rows
• player_threes_made 11,646 rows
• player_assists 9,800 rows
• player_pts_reb_ast 8,465 rows
• player_points_and_rebounds 8,232 rows
• player_rebounds_and_assists 7,165 rows
• player_points_and_assists 6,830 rows
• player_first_qtr_points 2,625 rows
• player_double_double 2,386 rows
• player_steals 1,429 rows

esports_cs2 (2 markets)

• player_kills_on_maps_1_2 33,947 rows
• player_headshots_on_maps_1_2 31,356 rows

icehockey_nhl (6 markets)

• player_points 18,430 rows
• player_assists 18,126 rows
• player_shots 16,842 rows
• player_goals 11,351 rows
• player_powerplay_points 10,159 rows
• player_blocked_shots 2,411 rows

soccer_epl (4 markets)

• player_goals_against 2,622 rows
• player_first_half_goals_against 2,556 rows
• player_goalie_fantasy_points 1,458 rows
• player_shots 977 rows

soccer_germany_bundesliga (2 markets)

• player_goals_against 1,256 rows
• player_first_half_goals_against 982 rows

soccer_italy_serie_a (1 markets)

• player_goalie_fantasy_points 1,394 rows

soccer_spain_la_liga (2 markets)

• player_goals_against 3,301 rows
• player_first_half_goals_against 2,637 rows

tennis_other (2 markets)

• player_games_played 17,545 rows
• player_games_won 17,228 rows

How to query just this book

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

How freshness is graded

We poll Sleeper on the Daily fantasy / pick-em and sweepstakes freshness tier, which means we expect a new observation within 60s under healthy operation. Observations between 60s and 300s are flagged "degraded". Between 300s and 1800s we mark "breach" and page an operator. Beyond 1800s 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 Sleeper, 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=sleeper.

Related

← All sportsbooks · Cross-book coverage matrix · Operator uptime · Machine-readable parser coverage