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 (7 markets)

• player_anytime_touchdowns 94,393 rows
• player_receiving_yards 90,072 rows
• player_rushing_yards 43,964 rows
• player_receptions 30,035 rows
• player_passing_yards 26,691 rows
• player_passing_touchdowns 12,067 rows
• player_kicking_points 11,523 rows

americanfootball_nfl (22 markets)

• player_receptions 108,124 rows
• player_receiving_yards 100,688 rows
• player_longest_reception 75,086 rows
• player_anytime_touchdowns 72,489 rows
• player_rushing_yards 44,615 rows
• player_rushing_attempts 42,929 rows
• player_longest_rush 28,780 rows
• player_rushing_and_receiving_yards 21,532 rows
• player_pass_completions 19,071 rows
• player_interceptions 19,064 rows
• player_extra_point_made 19,063 rows
• player_passing_attempts 19,050 rows
• player_passing_yards 19,047 rows
• player_passing_touchdowns 19,039 rows
• player_longest_passing_completion 18,444 rows
• player_passing_and_rushing_yards 15,690 rows
• player_kicking_points 13,527 rows
• player_field_goal_made 12,832 rows
• player_tackles_and_assists 9,811 rows
• player_tackles 9,785 rows

baseball_mlb (14 markets)

• player_total_bases 42,726 rows
• player_hits 42,379 rows
• player_rbis 38,997 rows
• player_hits_runs_rbis 37,420 rows
• player_bat_walks 31,205 rows
• player_runs 22,030 rows
• player_singles 21,992 rows
• player_strike_outs 4,949 rows
• player_first_inning_runs 4,220 rows
• player_earned_runs 3,841 rows
• player_hits_allowed 3,831 rows
• player_outs 3,817 rows
• player_home_runs 2,787 rows
• player_walks 2,184 rows

esports_cs2 (2 markets)

• player_kills_on_maps_1_2 2,543 rows
• player_headshots_on_maps_1_2 1,903 rows

mma_mixed_martial_arts (4 markets)

• player_significant_strikes 9,728 rows
• player_finishes 4,980 rows
• player_total_fight_time 4,974 rows
• player_knockout_win 3,737 rows

soccer_epl (5 markets)

• player_shots_on_target 8,987 rows
• player_goals_against 8,505 rows
• player_first_half_goals_against 6,583 rows
• player_goalie_fantasy_points 5,991 rows
• player_shots 4,536 rows

soccer_france_ligue_one (2 markets)

• player_shots_on_target 7,605 rows
• player_goalie_fantasy_points 2,703 rows

soccer_italy_serie_a (1 markets)

• player_shots_on_target 1,639 rows

soccer_spain_la_liga (2 markets)

• player_goals_against 8,390 rows
• player_first_half_goals_against 7,283 rows

soccer_uefa_champs_league (1 markets)

• player_goals_against 2,345 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

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