| 2mello vs Jin | 66–63 | 51.16% |
| 2mello vs Eddy | 61–42 | 59.22% |
| 2mello vs King | 51–49 | 51.00% |
| 2mello vs Kazuya | 44–47 | 48.35% |
| 2mello vs Steve | 43–34 | 55.84% |
| 2mello vs Bryan | 33–41 | 44.59% |
| 2mello vs Hwoarang | 44–27 | 61.97% |
| 2mello vs Reina | 34–37 | 47.89% |
| 2mello vs Clive | 36–35 | 50.70% |
| 2mello vs Law | 29–31 | 48.33% |
| 2mello vs Dragunov | 27–23 | 54.00% |
| 2mello vs Devil Jin | 29–15 | 65.91% |
| 2mello vs Lili | 22–20–1 | 52.38% |
| 2mello vs Victor | 21–21 | 50.00% |
| 2mello vs Yoshimitsu | 24–16 | 60.00% |
| 2mello vs Jun | 23–17 | 57.50% |
| 2mello vs Paul | 19–19 | 50.00% |
| 2mello vs Asuka | 14–23 | 37.84% |
| 2mello vs Xiaoyu | 17–19 | 47.22% |
| 2mello vs Lars | 17–19 | 47.22% |
| 2mello vs Azucena | 15–19 | 44.12% |
| 2mello vs Lee | 17–16 | 51.52% |
| 2mello vs Leo | 15–16 | 48.39% |
| 2mello vs Jack-8 | 16–14 | 53.33% |
| 2mello vs Zafina | 15–14 | 51.72% |
| 2mello vs Nina | 14–14 | 50.00% |
| 2mello vs Heihachi | 11–17 | 39.29% |
| 2mello vs Feng | 12–15 | 44.44% |
| 2mello vs Alisa | 9–13 | 40.91% |
| 2mello vs Leroy | 11–11 | 50.00% |
| 2mello vs Panda | 10–7 | 58.82% |
| 2mello vs Claudio | 7–8 | 46.67% |
| 2mello vs Lidia | 8–7 | 53.33% |
| 2mello vs Kuma | 7–7 | 50.00% |
| 2mello vs Shaheen | 7–6 | 53.85% |
| 2mello vs Raven | 3–6 | 33.33% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.