Underdog Fantasy

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

Supported sports + markets (last 72h)

americanfootball_ncaaf (8 markets)

• player_rush___rec_tds 3,089 rows
• player_first_td 1,893 rows
• player_rec_yds 910 rows
• player_rush_yards 526 rows
• player_receptions 279 rows
• player_pass_tds 279 rows
• player_ints_thrown 265 rows
• player_pass_yards 263 rows

americanfootball_nfl (9 markets)

• player_pass_tds 37,982 rows
• player_receptions 3,172 rows
• player_rush___rec_tds 1,772 rows
• player_1h_rush___rec_tds 1,436 rows
• player_first_td 1,335 rows
• player_1q_rush___rec_tds 1,186 rows
• player_rec_yds 397 rows
• player_rush_yards 258 rows
• player_pass_yards 201 rows

baseball_mlb (11 markets)

• player_runs 1,345 rows
• player_rbis 1,326 rows
• player_hits_runs_rbis 1,323 rows
• player_total_bases 1,322 rows
• player_home_runs 1,302 rows
• player_hits 1,291 rows
• player_points 1,233 rows
• player_batter_walks 1,129 rows
• player_stolen_bases 656 rows
• player_strikeouts 258 rows
• player_hits_allowed 223 rows

basketball_wnba (7 markets)

• player_rebounds 407 rows
• player_points 357 rows
• player_pts_rebs 304 rows
• player_pra 279 rows
• player_pts_asts 251 rows
• player_threes 230 rows
• player_assists 219 rows

esports_cs2 (2 markets)

• player_shots_on_goal 435 rows
• player_kills_on_maps_1_2 424 rows

esports_lol (1 markets)

• player_kills_on_maps_1_2 350 rows

other_unknown (17 markets)

• player_games_played 2,386 rows
• player_sets_won 2,223 rows
• player_1st_set_games_won 1,972 rows
• player_games_won 1,601 rows
• player_sets_played 959 rows
• player_1st_set_games_played 910 rows
• player_tiebreakers_played 819 rows
• player_rec_yds 760 rows
• player_season_receiving_tds 501 rows
• player_season_rush_tds 390 rows
• player_goals 364 rows
• player_season_rush_yards 363 rows
• player_season_sacks 356 rows
• player_points 341 rows
• player_pass_tds 314 rows
• player_regular_season_pass_yards 220 rows
• player_season_pass_yards 201 rows

soccer_other (5 markets)

• player_goals 9,195 rows
• player_goals_assists 456 rows
• player_shots_on_target 294 rows
• player_assists 221 rows
• player_shots_on_goal 207 rows

How to query just this book

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

How freshness is graded

We poll Underdog Fantasy 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 Underdog Fantasy, 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=underdog.

Related

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