Milala TFT: This Was the Winning Board From the TFT Vegas Open

Riot Games

Milala took home the grand prize of $100,000 and the Tactician's Belt at the Teamfight Tactics Vegas Open.

The tournament overall was well-received by players and fans thanks to an exciting format and weekend. Hosted at the MGM Grand in Las Vegas, the final game was filled with excitement including a gutsy Recombobulator Augment from DSG Broccoli who rolled an Ezreal 2-Star that altered the mid-game.

The final two came down to North America's Milala and Humbug. At 6-5 following a Carousel round, Humbug beat Milala dropping the eventual champion down to just three health. Thanks to the Checkmate format, if Humbug had won another game would've had to be played. Though, at 6-6 right before an Elder Dragon PvE round, Milala's K/DA Annie and Ahri board kicked into high gear.

Check out the winning moment from the TFT Vegas Open below.

Milala TFT: The Winning Board From the TFT Vegas Open

Milala's disbelief and excitement contributed to a fitting ending for the TFT tournament. Here's the board that ended up winning the Vegas Open at 6-6:

Milala's Board

Traits

  • ILLBEATS - 1
  • Guardian - 4
  • Superfan - 3
  • K/DA - 3
  • Spellweaver - 3 (Headliner Boost)
  • Emo - 2

Units and Items

  • Annie (3-Star, Spellweaver Headliner) - Jeweled Gauntlet, Nashor's Tooth, Guinsoo's Rageblade
  • Ahri (2-Star) - Giant Slayer, Blue Buff, Jeweled Gauntlet
  • Kennen (2-Star)
  • Amumu (2-Star)
  • Neeko (2-Star) - Redemption, Warmog's Armor
  • Illaoi (2-Star) - Adaptive Helm, Steadfast Heart, Ionic Spark
  • Lillia (2-Star) - Punk Emblem
  • Yorick (1-Star)

Humbug's Qiyana put in a ton of work at 6-5, but some unit repositioning at 6-6 from Milala helped the Annie put out enough damage to take home the win.

For those who had enjoyed the Vegas Open, Riot's Michael Sherman announced that the TFT Open will return in 2024. An exact location and date weren't announced, but Sherman did tease that North American players would have to travel a bit farther for the next iteration.