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_receiving_yards 18,008 rows
• player_rushing_yards 12,309 rows
• player_passing_yards 9,339 rows
• player_interceptions 5,654 rows
• player_anytime_touchdowns 4,745 rows
• player_passing_touchdowns 3,392 rows
• player_receptions 3,019 rows

baseball_mlb (15 markets)

• player_hits_runs_rbis 65,406 rows
• player_hits 64,788 rows
• player_total_bases 64,287 rows
• player_rbis 63,104 rows
• player_bat_walks 50,468 rows
• player_singles 34,069 rows
• player_runs 24,624 rows
• player_first_inning_runs 7,553 rows
• player_strike_outs 6,874 rows
• player_hits_allowed 6,865 rows
• player_earned_runs 6,860 rows
• player_outs 6,819 rows
• player_home_runs 2,196 rows
• player_walks 2,085 rows
• player_doubles 34 rows

esports_cs2 (4 markets)

• player_kills_maps_1_2 19,923 rows
• player_headshots_maps_1_2 16,120 rows
• player_kills_map_1 13,296 rows
• player_headshots_map_1 12,535 rows

soccer_epl (5 markets)

• player_passes_attempted 1,135 rows
• player_goals_against 1,127 rows
• player_first_half_goals_against 925 rows
• player_goalie_fantasy_points 385 rows
• player_shots 315 rows

soccer_italy_serie_a (3 markets)

• player_shots_on_target 1,780 rows
• player_goalie_fantasy_points 1,052 rows
• player_shots 808 rows

soccer_spain_la_liga (6 markets)

• player_goals_against 4,313 rows
• player_first_half_goals_against 2,276 rows
• player_goalie_fantasy_points 772 rows
• player_shots_on_target 755 rows
• player_shots 384 rows
• player_saves 41 rows

tennis_other (2 markets)

• player_games_won 12,098 rows
• player_games_played 8,155 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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