Hero Synergies

Which heroes win more when they queue together, ranked pairings and a per-hero synergy analyzer.

Found 931 synergies
SortWin Rate
Initiate
Min Matches50+
2010,000+
Active Initiate Reset
#61

Kelvin + Silver

Norm WR57.1%KDA3.01Matches119
#62

Abrams + Baba

Norm WR56.9%KDA2.87Matches253
#64

Warden + Graves

Norm WR56.7%KDA2.59Matches460
#66

Seven + Drifter

Norm WR56.7%KDA2.68Matches818
#70

Abrams + Lash

Norm WR56.6%KDA3.30Matches219
About this page

Hero Synergies

Explore hero pairs and their results in the recorded match data. The Statistics view ranks pairs; the Analyzer is presented as a way to investigate teammates for a selected hero.

Find a hero pairing

Choose a hero or leave the list on All, set a minimum number of matches and apply the filter. Sort by win rate, KDA or matches, and use the page controls to move through the results. Each pair displays Norm WR, KDA and Matches. A larger match count provides more context for the result, while KDA summarizes kills, deaths and assists. The page labels the rate as normalized but does not define the normalization in the visible description.

In the October 31, 2026 snapshot, the page listed 946 synergies. Its leading displayed pair included Victor and a placeholder named Hero #84, with 64.5% Norm WR across 34,615 matches. Placeholder names and changing data make it especially important to check the current page.

A strong recorded pairing does not guarantee success with every composition. Compare individual heroes in the directory and examine opponents in counters.

Compare pairs using the same threshold

The minimum-matches control offers preset values from 20 to 10,000, as well as an input and Apply. Raising the threshold can remove pairs with fewer recorded matches; it does not by itself correct every source of bias. Reset returns to a broader view. Use pagination to inspect results beyond the first screen.

In the same October 31 snapshot, Paige + Graves appeared at 63.4% Norm WR, 3.04 KDA and 45,250 matches. Compare it with another pair under the same filter rather than comparing a result from a different mode or time. Teams, player skill and selection can affect outcomes, so observed pair performance should not be read as a causal effect.