| MousezJPEG vs Kazuya | 44–36 | 55.00% |
| MousezJPEG vs Jin | 37–32 | 53.62% |
| MousezJPEG vs Armor King | 40–24 | 62.50% |
| MousezJPEG vs King | 31–28 | 52.54% |
| MousezJPEG vs Fahkumram | 33–21 | 61.11% |
| MousezJPEG vs Steve | 24–19 | 55.81% |
| MousezJPEG vs Reina | 25–16 | 60.98% |
| MousezJPEG vs Hwoarang | 26–14 | 65.00% |
| MousezJPEG vs Law | 18–21 | 46.15% |
| MousezJPEG vs Dragunov | 22–13 | 62.86% |
| MousezJPEG vs Eddy | 17–18 | 48.57% |
| MousezJPEG vs Paul | 21–12 | 63.64% |
| MousezJPEG vs Lili | 21–12 | 63.64% |
| MousezJPEG vs Lidia | 20–12 | 62.50% |
| MousezJPEG vs Heihachi | 20–9 | 68.97% |
| MousezJPEG vs Asuka | 16–12 | 57.14% |
| MousezJPEG vs Clive | 15–13 | 53.57% |
| MousezJPEG vs Nina | 16–11 | 59.26% |
| MousezJPEG vs Bryan | 12–13 | 48.00% |
| MousezJPEG vs Jun | 13–9–1 | 59.09% |
| MousezJPEG vs Yoshimitsu | 10–11 | 47.62% |
| MousezJPEG vs Lars | 10–11 | 47.62% |
| MousezJPEG vs Azucena | 19–2 | 90.48% |
| MousezJPEG vs Devil Jin | 8–9 | 47.06% |
| MousezJPEG vs Victor | 13–4 | 76.47% |
| MousezJPEG vs Anna | 8–9 | 47.06% |
| MousezJPEG vs Feng | 9–7 | 56.25% |
| MousezJPEG vs Lee | 7–9 | 43.75% |
| MousezJPEG vs Leo | 12–3 | 80.00% |
| MousezJPEG vs Miary Zo | 10–4 | 71.43% |
| MousezJPEG vs Jack-8 | 7–6 | 53.85% |
| MousezJPEG vs Leroy | 7–6 | 53.85% |
| MousezJPEG vs Raven | 7–5 | 58.33% |
| MousezJPEG vs Xiaoyu | 6–5 | 54.55% |
| MousezJPEG vs Claudio | 4–5 | 44.44% |
| MousezJPEG vs Kuma | 4–5 | 44.44% |
| MousezJPEG vs Zafina | 6–3 | 66.67% |
| MousezJPEG vs Alisa | 2–3 | 40.00% |
| MousezJPEG vs Shaheen | 1–2 | 33.33% |
| MousezJPEG vs Panda | 2–0 | 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.