| `M4rkEr vs Kazuya | 35–22 | 61.40% |
| `M4rkEr vs Dragunov | 26–27 | 49.06% |
| `M4rkEr vs Jin | 25–26 | 49.02% |
| `M4rkEr vs King | 21–22 | 48.84% |
| `M4rkEr vs Yoshimitsu | 24–12 | 66.67% |
| `M4rkEr vs Law | 19–13 | 59.38% |
| `M4rkEr vs Lili | 16–11 | 59.26% |
| `M4rkEr vs Reina | 12–12 | 50.00% |
| `M4rkEr vs Lidia | 13–10 | 56.52% |
| `M4rkEr vs Jun | 10–12 | 45.45% |
| `M4rkEr vs Hwoarang | 9–11 | 45.00% |
| `M4rkEr vs Lars | 5–13 | 27.78% |
| `M4rkEr vs Leroy | 12–6 | 66.67% |
| `M4rkEr vs Xiaoyu | 10–7 | 58.82% |
| `M4rkEr vs Shaheen | 6–11 | 35.29% |
| `M4rkEr vs Eddy | 4–13 | 23.53% |
| `M4rkEr vs Asuka | 11–4 | 73.33% |
| `M4rkEr vs Victor | 7–8 | 46.67% |
| `M4rkEr vs Paul | 5–9 | 35.71% |
| `M4rkEr vs Clive | 7–7 | 50.00% |
| `M4rkEr vs Feng | 6–7 | 46.15% |
| `M4rkEr vs Azucena | 7–6 | 53.85% |
| `M4rkEr vs Fahkumram | 6–7 | 46.15% |
| `M4rkEr vs Jack-8 | 7–5 | 58.33% |
| `M4rkEr vs Bryan | 7–4 | 63.64% |
| `M4rkEr vs Alisa | 8–3 | 72.73% |
| `M4rkEr vs Devil Jin | 7–3 | 70.00% |
| `M4rkEr vs Leo | 5–5 | 50.00% |
| `M4rkEr vs Raven | 5–5 | 50.00% |
| `M4rkEr vs Nina | 4–5 | 44.44% |
| `M4rkEr vs Steve | 4–3 | 57.14% |
| `M4rkEr vs Heihachi | 4–2 | 66.67% |
| `M4rkEr vs Claudio | 0–5 | 0.00% |
| `M4rkEr vs Anna | 1–3 | 25.00% |
| `M4rkEr vs Lee | 2–1 | 66.67% |
| `M4rkEr vs Kuma | 1–2 | 33.33% |
| `M4rkEr vs Zafina | 1–2 | 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.