Written by Oliver Smith
Pay of the Dead
This cooperative first-person shooter drops you into a zombie-ravaged world where crews of reanimated outlaws team up for high-stakes heists on banks, armories and convoys. Players customise undead perks, battle through procedurally generated maps packed with hordes and SWAT teams, and juggle rising alarms for big payouts, all while risking permanent permadeath in intense 4-player sessions.
Gameplay and Features
Loadouts let you stack regenerative limbs and viral infections that turn enemies into allies mid-fight. Procedural maps keep every run fresh, mixing tight corridors with open convoy routes and destructible cover. Skill trees reward smart perk choices, while the alarm system builds tension as more foes swarm in. Four-player co-op shines during chaotic extractions, and the permadeath mechanic adds real stakes to each heist.
How to play Reanimated Outlaws slot
| Mechanic | Description |
|---|---|
| Money Symbols | Bank vaults and armory crates that award escalating payouts during successful heists. |
| Collector Duel | Face off against rival undead crews to claim viral loot tokens on the reels. |
| Progressive Multiplier | Alarm levels climb with each spin, multiplying wins as SWAT pressure intensifies. |
| Free Spins | Trigger convoy escapes where procedural map layouts deliver bonus rounds. |
| Ante Bet | Raise stakes before each run to unlock stronger undead perks and bigger base rewards. |
| Bonus Buy | Purchase direct entry to fortified heist rounds with custom loadout options. |
Stats and Verdict
- 4-player cooperative multiplayer with permadeath
- Procedurally generated maps filled with zombie hordes and SWAT teams
- Customisable undead perks including regenerative limbs
- Destructible environments and skill tree progression
- High-stakes heists across banks, armories and convoys
Reanimated Outlaws blends tense co-op shooting with clever undead twists and replayable procedural heists, delivering a fresh take on zombie survival that rewards smart teamwork and bold risks in equal measure.
