| DaMisha vs Jin | 28–29 | 49.12% |
| DaMisha vs Bryan | 24–19 | 55.81% |
| DaMisha vs Reina | 19–16 | 54.29% |
| DaMisha vs Dragunov | 17–13 | 56.67% |
| DaMisha vs Asuka | 18–11 | 62.07% |
| DaMisha vs Kazuya | 14–13 | 51.85% |
| DaMisha vs Steve | 15–9 | 62.50% |
| DaMisha vs King | 12–10 | 54.55% |
| DaMisha vs Victor | 15–7 | 68.18% |
| DaMisha vs Devil Jin | 12–9 | 57.14% |
| DaMisha vs Hwoarang | 2–18 | 10.00% |
| DaMisha vs Jun | 9–11 | 45.00% |
| DaMisha vs Law | 10–9 | 52.63% |
| DaMisha vs Lars | 7–11 | 38.89% |
| DaMisha vs Lili | 7–10 | 41.18% |
| DaMisha vs Eddy | 9–7 | 56.25% |
| DaMisha vs Anna | 5–11 | 31.25% |
| DaMisha vs Paul | 3–12 | 20.00% |
| DaMisha vs Claudio | 7–7 | 50.00% |
| DaMisha vs Lee | 5–7 | 41.67% |
| DaMisha vs Azucena | 6–6 | 50.00% |
| DaMisha vs Feng | 10–1 | 90.91% |
| DaMisha vs Heihachi | 5–6 | 45.45% |
| DaMisha vs Yoshimitsu | 5–4 | 55.56% |
| DaMisha vs Raven | 5–3 | 62.50% |
| DaMisha vs Lidia | 2–6 | 25.00% |
| DaMisha vs Jack-8 | 3–4 | 42.86% |
| DaMisha vs Clive | 0–7 | 0.00% |
| DaMisha vs Nina | 1–5 | 16.67% |
| DaMisha vs Alisa | 4–1 | 80.00% |
| DaMisha vs Zafina | 2–3 | 40.00% |
| DaMisha vs Armor King | 1–4 | 20.00% |
| DaMisha vs Kuma | 1–3 | 25.00% |
| DaMisha vs Xiaoyu | 3–0 | 100.00% |
| DaMisha vs Leo | 0–3 | 0.00% |
| DaMisha vs Panda | 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.