| m4rklean vs Kazuya | 56–59 | 48.70% |
| m4rklean vs King | 58–44 | 56.86% |
| m4rklean vs Dragunov | 57–39 | 59.38% |
| m4rklean vs Bryan | 34–52 | 39.53% |
| m4rklean vs Jin | 41–34 | 54.67% |
| m4rklean vs Reina | 34–32 | 51.52% |
| m4rklean vs Steve | 28–35 | 44.44% |
| m4rklean vs Lili | 28–33 | 45.90% |
| m4rklean vs Hwoarang | 26–30 | 46.43% |
| m4rklean vs Paul | 23–25 | 47.92% |
| m4rklean vs Devil Jin | 17–31 | 35.42% |
| m4rklean vs Yoshimitsu | 21–25 | 45.65% |
| m4rklean vs Eddy | 22–23 | 48.89% |
| m4rklean vs Azucena | 20–20 | 50.00% |
| m4rklean vs Victor | 19–19 | 50.00% |
| m4rklean vs Law | 14–20 | 41.18% |
| m4rklean vs Asuka | 17–12–1 | 58.62% |
| m4rklean vs Lee | 12–18 | 40.00% |
| m4rklean vs Nina | 14–15 | 48.28% |
| m4rklean vs Jun | 17–9 | 65.38% |
| m4rklean vs Feng | 8–16 | 33.33% |
| m4rklean vs Alisa | 12–12 | 50.00% |
| m4rklean vs Leroy | 8–13 | 38.10% |
| m4rklean vs Xiaoyu | 10–10 | 50.00% |
| m4rklean vs Zafina | 6–14 | 30.00% |
| m4rklean vs Lars | 7–9 | 43.75% |
| m4rklean vs Claudio | 7–9 | 43.75% |
| m4rklean vs Leo | 7–5 | 58.33% |
| m4rklean vs Kuma | 6–4 | 60.00% |
| m4rklean vs Shaheen | 6–0 | 100.00% |
| m4rklean vs Panda | 0–6 | 0.00% |
| m4rklean vs Lidia | 2–4 | 33.33% |
| m4rklean vs Raven | 0–4 | 0.00% |
| m4rklean vs Jack-8 | 2–1 | 66.67% |
| m4rklean vs Heihachi | 2–0 | 100.00% |
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.