Diggie vs Mathilda
Diggie against Mathilda, measured by the game rank by rank: who gains win rate in the matchup, who weighs more early or late, their most-played builds, and how they fare on the same team.Learn more
· Patch 2.2.16
Who wins, Diggie or Mathilda?
At Mythic, Mathilda has the edge over Diggie: 3.0 pts of win rate in this matchup. Over 2 rank brackets measured, Diggie leads in 0 and Mathilda in 2.
| Rank | Edge | Diggie vs Mathilda | Mathilda vs Diggie |
|---|---|---|---|
| Legend | Mathilda +3.9 pts | -3.9 pts | +3.9 pts |
| Mythic | Mathilda +3.0 pts | — | +3.0 pts |
Gap: change in a hero's win rate when facing the other, in points (seen by Diggie, then by Mathilda). A dash: the other hero is not among its six most marked matchups at that rank. Edge: the average of both views.
Early or late game?
Diggie has the higher win rate at every game length.
| Phase | Diggie | Mathilda |
|---|---|---|
| Early game (10–14 min) | 56.3% | 41.1% |
| Mid game (14–18 min) | 53.1% | 46.5% |
| Late game (18+ min) | 51.7% | 49.1% |
Each hero's own win rate by game length (Mythic), over all its games, not only this matchup.
Profiles (Mythic)
| Criterion | Diggie | Mathilda |
|---|---|---|
| Win rate | — | — |
| Ban rate | — | — |
| Offense | 4 | 2 |
| Durability | 4 | 8 |
| Control effects | 2 | 4 |
| Difficulty | 3 | 7 |
Builds
Diggie
Most-played build · Roam
Support · Revitalize · 61.5% win rate
Items against Mathilda · rule-based, not measured
Mathilda
Most-played build · Roam
Support · Revitalize · 52.6% win rate
Items against Diggie · rule-based, not measured
Diggie and Mathilda on the same team
- Across all ranks, Mathilda with Diggie: -5.4 pts of win rate.
- At Epic, Mathilda with Diggie: -15.2 pts of win rate.
- At Legend, Mathilda with Diggie: -4.9 pts of win rate.
- At Mythic, Mathilda with Diggie: -6.6 pts of win rate.
- At Mythical Honor, Mathilda with Diggie: -4.9 pts of win rate.
- At Mythical Glory, Mathilda with Diggie: -3.9 pts of win rate.
Change in the first hero's win rate when the second is a teammate, from the game's duo data or, failing that, the academy's teammates.