Lolita vs Melissa
Lolita against Melissa, 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.
· Patch 2.1.88
Who wins, Lolita or Melissa?
At Mythic, Melissa has the edge over Lolita: 3.7 pts of win rate in this matchup. Over 5 rank brackets measured, Lolita leads in 0 and Melissa in 5.
| Rank | Edge | Lolita vs Melissa | Melissa vs Lolita |
|---|---|---|---|
| All ranks | Melissa +5.5 pts | -5.5 pts | +5.5 pts |
| Epic | Melissa +3.3 pts | — | +3.3 pts |
| Legend | Melissa +2.8 pts | — | +2.8 pts |
| Mythic | Melissa +3.7 pts | — | +3.7 pts |
| Mythical Honor | Melissa +5.3 pts | -5.3 pts | +5.3 pts |
| Mythical Glory | Melissa +5.0 pts | -5.0 pts | +5.0 pts |
Gap: change in a hero's win rate when facing the other, in points (seen by Lolita, then by Melissa). 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?
Lolita has the higher win rate at every game length.
| Phase | Lolita | Melissa |
|---|---|---|
| Early game (10–14 min) | 58.4% | 52.6% |
| Mid game (14–18 min) | 56.0% | 53.1% |
| Late game (18+ min) | 52.3% | 51.8% |
Each hero's own win rate by game length (Mythic), over all its games, not only this matchup.
Profiles (Mythic)
| Criterion | Lolita | Melissa |
|---|---|---|
| Win rate | 55.5% | 51.5% |
| Ban rate | 0.3% | 10.3% |
| Offense | 1 | 9 |
| Durability | 10 | 2 |
| Control effects | 9 | 4 |
| Difficulty | 5 | 5 |
Builds
Lolita
Most-played build · Roam
Tank · Revitalize · 60.8% win rate
Items against Melissa · rule-based, not measured
Melissa
Most-played build · Gold Lane
Marksman · Inspire · 57.0% win rate
Items against Lolita · rule-based, not measured
Lolita and Melissa on the same team
- At Legend, Melissa with Lolita: +1.5 pts of win rate.
- At Mythic, Melissa with Lolita: +1.5 pts of win rate.
- At Mythical Honor, Melissa with Lolita: +1.2 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.