Has usedtheir lunchbreak todo laundryGoes byanicknameHas workedat Libertyover 15yearsWatchedeveryepisode ofThe OfficePreferswinteroversummerHas madehomemadebreadVisited 4+NationalParksHas traveledto more thantwocontinentsPet hasmade avideo callappearanceOwns 5+houseplantsWorks (fromhome) intheirbedroomWakesup before7 AMCan speakmore thanonelanguagePrefersreadingover TVIs notlocated inNY orBoston(areas)Doesnot likepizzaDrinkscoffee ina YetiCancode inPythonFinisheda 10k runor longerDoes nothave aniPhoneHas beensnorkelingDoesn'tdrinkcoffeeListenedto apodcastthis weekHasbeenskydivingHas usedtheir lunchbreak todo laundryGoes byanicknameHas workedat Libertyover 15yearsWatchedeveryepisode ofThe OfficePreferswinteroversummerHas madehomemadebreadVisited 4+NationalParksHas traveledto more thantwocontinentsPet hasmade avideo callappearanceOwns 5+houseplantsWorks (fromhome) intheirbedroomWakesup before7 AMCan speakmore thanonelanguagePrefersreadingover TVIs notlocated inNY orBoston(areas)Doesnot likepizzaDrinkscoffee ina YetiCancode inPythonFinisheda 10k runor longerDoes nothave aniPhoneHas beensnorkelingDoesn'tdrinkcoffeeListenedto apodcastthis weekHasbeenskydiving

NA Specialty Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has used their lunch break to do laundry
  2. Goes by a nickname
  3. Has worked at Liberty over 15 years
  4. Watched every episode of The Office
  5. Prefers winter over summer
  6. Has made homemade bread
  7. Visited 4+ National Parks
  8. Has traveled to more than two continents
  9. Pet has made a video call appearance
  10. Owns 5+ houseplants
  11. Works (from home) in their bedroom
  12. Wakes up before 7 AM
  13. Can speak more than one language
  14. Prefers reading over TV
  15. Is not located in NY or Boston (areas)
  16. Does not like pizza
  17. Drinks coffee in a Yeti
  18. Can code in Python
  19. Finished a 10k run or longer
  20. Does not have an iPhone
  21. Has been snorkeling
  22. Doesn't drink coffee
  23. Listened to a podcast this week
  24. Has been skydiving