| Marv vs Kazuya | 36–20 | 64.29% |
| Marv vs Bryan | 25–17 | 59.52% |
| Marv vs Jin | 23–15 | 60.53% |
| Marv vs Lee | 21–17 | 55.26% |
| Marv vs King | 28–9 | 75.68% |
| Marv vs Steve | 18–15 | 54.55% |
| Marv vs Azucena | 21–12 | 63.64% |
| Marv vs Reina | 16–12 | 57.14% |
| Marv vs Dragunov | 16–8 | 66.67% |
| Marv vs Hwoarang | 12–11 | 52.17% |
| Marv vs Victor | 16–7 | 69.57% |
| Marv vs Lars | 12–10 | 54.55% |
| Marv vs Law | 10–11 | 47.62% |
| Marv vs Jun | 11–10 | 52.38% |
| Marv vs Armor King | 16–5 | 76.19% |
| Marv vs Nina | 11–9 | 55.00% |
| Marv vs Eddy | 11–9 | 55.00% |
| Marv vs Paul | 9–9 | 50.00% |
| Marv vs Miary Zo | 10–7 | 58.82% |
| Marv vs Yoshimitsu | 5–11 | 31.25% |
| Marv vs Devil Jin | 9–7 | 56.25% |
| Marv vs Jack-8 | 6–5 | 54.55% |
| Marv vs Asuka | 3–8 | 27.27% |
| Marv vs Raven | 7–3 | 70.00% |
| Marv vs Xiaoyu | 6–3 | 66.67% |
| Marv vs Leo | 1–7 | 12.50% |
| Marv vs Zafina | 3–5 | 37.50% |
| Marv vs Lidia | 6–2 | 75.00% |
| Marv vs Fahkumram | 5–3 | 62.50% |
| Marv vs Feng | 3–4 | 42.86% |
| Marv vs Lili | 5–2 | 71.43% |
| Marv vs Leroy | 6–1 | 85.71% |
| Marv vs Claudio | 5–1 | 83.33% |
| Marv vs Clive | 4–2 | 66.67% |
| Marv vs Shaheen | 4–1 | 80.00% |
| Marv vs Alisa | 3–1 | 75.00% |
| Marv vs Kuma | 2–2 | 50.00% |
| Marv vs Anna | 1–2 | 33.33% |
| Marv vs Panda | 0–2 | 0.00% |
| Marv vs Heihachi | 1–1 | 50.00% |
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.