Kaja

Kaja Roam Counters

Support · 49.77% win rate · rank 27 · 12 measured Roam matchups

The best Roam counters for Kaja are Saber, Marcel and Edith. Kaja wins the lane against Estes, Franco and Diggie. Every hero on this page plays Roam, so these are matchups you meet in lane rather than anywhere on the map. Updated October 2026.

Beats Kaja in Roam

Kaja beats in Roam

When Kaja wins these lanes

Kaja's win rate against each hero, split by how long the game ran. A counter that only bites after 15 minutes is a different problem from one that beats you at level 4, and the lists above cannot tell you which is which.

vs Saber

46% early, 46% late · steady throughout
6-88-1010-1212-1414-1616-1818-2020+

Minutes of game time. Bars are green above a 50% win rate and red below it. Empty columns had too few games to report.

vs Marcel

36% early, 44% late · Kaja gets stronger the longer it runs
6-88-1010-1212-1414-1616-1818-2020+

Minutes of game time. Bars are green above a 50% win rate and red below it. Empty columns had too few games to report.

vs Edith

56% early, 46% late · Kaja needs to win it early
6-88-1010-1212-1414-1616-1818-2020+

Minutes of game time. Bars are green above a 50% win rate and red below it. Empty columns had too few games to report.

vs Selena

52% early, 48% late · Kaja needs to win it early
6-88-1010-1212-1414-1616-1818-2020+

Minutes of game time. Bars are green above a 50% win rate and red below it. Empty columns had too few games to report.

Counter Kaja in your draft

Kaja Roam questions

Who counters Kaja in Roam?

Saber, Marcel, Edith beat Kaja in Roam. These are heroes who play the same lane, so you will actually face them there rather than meeting them elsewhere on the map.

Who does Kaja beat in Roam?

Kaja wins the Roam matchup against Estes, Franco, Diggie.

Is Kaja good in Roam?

Kaja is a Support played in Roam, with a 49.77% win rate overall and rank 27 in the current meta. In Roam specifically there are 12 measured matchups: 7 Kaja wins and 5 Kaja loses.

What do the numbers mean?

Each score is the win rate difference in matches where both heroes played, in win rate points, read from Moonton's ranked data across five rank tiers. Scores measured on very few games are marked as thin data and pulled toward zero, so a big number from a hero almost nobody picks does not outrank a solid one. How this is calculated.