| Marsh_2133 vs Jin | 10–21 | 32.26% |
| Marsh_2133 vs Reina | 14–17 | 45.16% |
| Marsh_2133 vs Steve | 16–14 | 53.33% |
| Marsh_2133 vs King | 10–16 | 38.46% |
| Marsh_2133 vs Hwoarang | 6–20 | 23.08% |
| Marsh_2133 vs Lars | 6–20 | 23.08% |
| Marsh_2133 vs Kazuya | 7–13 | 35.00% |
| Marsh_2133 vs Lili | 7–12 | 36.84% |
| Marsh_2133 vs Yoshimitsu | 9–9 | 50.00% |
| Marsh_2133 vs Azucena | 9–8 | 52.94% |
| Marsh_2133 vs Victor | 4–13 | 23.53% |
| Marsh_2133 vs Eddy | 7–10 | 41.18% |
| Marsh_2133 vs Asuka | 5–11 | 31.25% |
| Marsh_2133 vs Law | 5–10 | 33.33% |
| Marsh_2133 vs Fahkumram | 7–8 | 46.67% |
| Marsh_2133 vs Dragunov | 7–7 | 50.00% |
| Marsh_2133 vs Clive | 7–6 | 53.85% |
| Marsh_2133 vs Xiaoyu | 7–5 | 58.33% |
| Marsh_2133 vs Leroy | 6–6 | 50.00% |
| Marsh_2133 vs Lidia | 7–5 | 58.33% |
| Marsh_2133 vs Heihachi | 3–9 | 25.00% |
| Marsh_2133 vs Anna | 4–8 | 33.33% |
| Marsh_2133 vs Leo | 7–2 | 77.78% |
| Marsh_2133 vs Nina | 2–7 | 22.22% |
| Marsh_2133 vs Lee | 3–6 | 33.33% |
| Marsh_2133 vs Raven | 4–5 | 44.44% |
| Marsh_2133 vs Bryan | 3–5 | 37.50% |
| Marsh_2133 vs Jack-8 | 2–5 | 28.57% |
| Marsh_2133 vs Zafina | 3–3 | 50.00% |
| Marsh_2133 vs Alisa | 1–4 | 20.00% |
| Marsh_2133 vs Devil Jin | 1–3 | 25.00% |
| Marsh_2133 vs Feng | 1–3 | 25.00% |
| Marsh_2133 vs Claudio | 1–3 | 25.00% |
| Marsh_2133 vs Jun | 1–3 | 25.00% |
| Marsh_2133 vs Armor King | 3–1 | 75.00% |
| Marsh_2133 vs Paul | 1–2 | 33.33% |
| Marsh_2133 vs Kuma | 1–1 | 50.00% |
| Marsh_2133 vs Shaheen | 0–1 | 0.00% |
| Marsh_2133 vs Panda | 0–1 | 0.00% |
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.