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_nfl (7 markets)

• player_anytime_touchdowns 61,184 rows
• player_receiving_yards 47,763 rows
• player_rushing_yards 30,097 rows
• player_passing_yards 19,469 rows
• player_receptions 16,917 rows
• player_interceptions 10,809 rows
• player_passing_touchdowns 4,992 rows

baseball_mlb (16 markets)

• player_hits_runs_rbis 118,072 rows
• player_hits 116,577 rows
• player_total_bases 109,766 rows
• player_rbis 102,724 rows
• player_bat_walks 98,812 rows
• player_singles 42,843 rows
• player_runs 27,686 rows
• player_strike_outs 16,244 rows
• player_first_inning_runs 13,374 rows
• player_hits_allowed 13,171 rows
• player_outs 12,653 rows
• player_earned_runs 12,513 rows
• player_walks 4,137 rows
• player_home_runs 2,051 rows
• player_doubles 514 rows
• player_stolen_bases 70 rows

esports_cs2 (2 markets)

• player_kills_maps_1_2 133,458 rows
• player_headshots_maps_1_2 90,697 rows

mma_mixed_martial_arts (5 markets)

• player_total_fight_time 3,610 rows
• player_finishes 2,891 rows
• player_significant_strikes 2,889 rows
• player_knockout_win 1,445 rows
• player_submission_win 725 rows

soccer_epl (2 markets)

• player_goals_against 6,315 rows
• player_first_half_goals_against 4,671 rows

soccer_france_ligue_one (1 markets)

• player_shots_on_target 1,814 rows

soccer_spain_la_liga (4 markets)

• player_goals_against 11,463 rows
• player_first_half_goals_against 7,874 rows
• player_shots_on_target 2,908 rows
• player_shots 871 rows

tennis_other (3 markets)

• player_games_played 50,869 rows
• player_games_won 43,242 rows
• player_breakpts_won 891 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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