The Game Census
Huntin' Buddies cover art

Huntin' Buddies

Huntin' Buddies Wildlife Management · Huntin' Buddies Wildlife Management · 2026-07-24

Steam

Action

Modes: Single player, Multiplayer, Co-operative · Perspectives: First person, Third person

Releases: Jul 24, 2026 (PC (Microsoft Windows))

1-4 player online HORROR COMEDY HUNTING game set in a forbidden national park. Hunt wildlife to meet dangerous quotas, drag massive carcasses with your friends and evade the creatures that begin hunting you back.

Huntin' Buddies is an Action game released in 2026, priced at $7.99, with a Very Positive review sentiment (84% of 82 reviews).

84%
positive of 82 reviews
Very Positive
steam's rating (official)
4,807
twitch viewers (latest)
1602.3
viewers/channel (concentration)
pending
deck/linux tier (ProtonDB)
Playable
Steam Deck (Valve)
SteamOS: Playable
$7.99
steam price (US)

THE JOB Objective: Hunt animals and meet quota. Notice: Forest wildlife may act unpredictably. Proceed with caution, some creatures maybe hostile. WHAT YOU DO You're a contract hunter. Each night: - Accept contract from pager - Hunt specific animals as per contract - Carry kills to truck - Get paid(Storyline via IGDB)

Health check

Insufficient data
  • · Not enough review history collected yet to judge health.
  • · Top 42% of 27,740 Action games in the census by review count.
Estimated sales: 1.6k–3.7k copies

Review-multiple estimate from 82 total reviews — how this is computed.

Details

WindowsSingle-playerMulti-playerCo-opOnline Co-opSteam AchievementsKeyboard Only OptionMouse Only Option#category_playable_at_your_own_pacePlayable without Timed InputStereo Sound

7 supported languages: English, German, Spanish - Spain, Japanese, Korean, Portuguese - Brazil, Simplified Chinese

Census log

Computed from census-recorded observations only — dates are observation dates.

Players also track

F.E.A.R. 2: Project OriginBorderlands 3Dying Light 2 Stay Human: Reloaded EditionRemnant: From the AshesLEFT ALIVE™Apsulov: End of GodsDays GoneVigor

Similarity via IGDB.

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