Tackle for Loss

Tackle for Loss is a 2D top-down action game that puts you in the shoes of a former American football pro. Utilizing his unique set of football skills , you'll navigate a gritty underworld, battling enemies on a desperate mission to save a loved one. Violent combat, a gripping narrative, and dark pixel art combine to create a high-impact experience inspired by the likes of Hotline Miami . Combat is built around a brutal twist on American football’s four-down rule : you get four tackles - total - to clear each level. No button mashing. Just four perfectly placed tackles between you and the end zone. Sounds impossible? It kind of is. Football Infused Combat Killstreak Mechanic Unlockable Skillpath Gamepad & Keyboard Support Badass soundtrack by real musicians Runs at 90 FPS on Steam Deck Languages: English, German Auto-Translation: Spanish, Simplified Chinese, French, Italian, Russian, Brazilian Portuguese, Turkish (please contact me if you find any errors - there will be some!) TACKLE: Move through enemy lines like a knife through butter and rack up killstreak points. SPIKE: Grab your enemies with a lethal grip and smash them into pieces with this melee attack. PIGSKIN: Use your deadly precision in this ranged attack. SKILLPATH: Rapidly eliminating enemies extends combo chains and increases score multipliers, rewarding players for aggressive and strategic gameplay. Unique moves and attacks can be unlocked through progression. By experimenting with a variety of skills and perks, players can develop and refine a variety of combat styles. Tackle for Loss is a game solo-developed by Indifferent Penguin / Daniel Wichterich . That means I am the only person working full-time on this game. During development, I’ve been fortunate to meet people who have contributed in meaningful ways, whether through their creative work, valuable feedback, or support. Nik Neumetzler – Key Art Riccardo Berndt – Additional Pixel Art BaerSerker-Art – Promotion The team at 1UP - PR & Marketing AI Disclosure Tackle for Loss does not use generative AI in the final product. While I experimented with it during the prototyping phase, all the content you’ll see and hear in the game was created by real people. However, the dialogues of Tackle for Loss have been translated with DeepL for languages other than English and German in order to make the game accessible to more people. I believe this is AI, right? Funded by Medienboard Berlin-Brandenburg