| Marvs__ vs Armor King | 34–20 | 62.96% |
| Marvs__ vs King | 23–12 | 65.71% |
| Marvs__ vs Steve | 14–10 | 58.33% |
| Marvs__ vs Jin | 12–8 | 60.00% |
| Marvs__ vs Lili | 11–6 | 64.71% |
| Marvs__ vs Dragunov | 12–5 | 70.59% |
| Marvs__ vs Paul | 12–4 | 75.00% |
| Marvs__ vs Asuka | 9–6 | 60.00% |
| Marvs__ vs Kazuya | 4–10 | 28.57% |
| Marvs__ vs Nina | 9–5 | 64.29% |
| Marvs__ vs Jun | 11–3 | 78.57% |
| Marvs__ vs Hwoarang | 10–3 | 76.92% |
| Marvs__ vs Reina | 7–6 | 53.85% |
| Marvs__ vs Bryan | 6–6 | 50.00% |
| Marvs__ vs Claudio | 7–5 | 58.33% |
| Marvs__ vs Victor | 7–5 | 58.33% |
| Marvs__ vs Miary Zo | 7–4 | 63.64% |
| Marvs__ vs Heihachi | 5–5 | 50.00% |
| Marvs__ vs Law | 6–3 | 66.67% |
| Marvs__ vs Clive | 3–5 | 37.50% |
| Marvs__ vs Yoshimitsu | 5–2 | 71.43% |
| Marvs__ vs Devil Jin | 4–3 | 57.14% |
| Marvs__ vs Lars | 6–1 | 85.71% |
| Marvs__ vs Jack-8 | 3–3 | 50.00% |
| Marvs__ vs Eddy | 0–6 | 0.00% |
| Marvs__ vs Alisa | 2–3 | 40.00% |
| Marvs__ vs Shaheen | 1–4 | 20.00% |
| Marvs__ vs Lee | 4–0 | 100.00% |
| Marvs__ vs Anna | 1–3 | 25.00% |
| Marvs__ vs Fahkumram | 2–2 | 50.00% |
| Marvs__ vs Xiaoyu | 2–1 | 66.67% |
| Marvs__ vs Azucena | 2–1 | 66.67% |
| Marvs__ vs Leo | 2–0 | 100.00% |
| Marvs__ vs Kuma | 0–1 | 0.00% |
| Marvs__ vs Leroy | 1–0 | 100.00% |
| Marvs__ vs Lidia | 1–0 | 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.