| #SaveEvilJim vs Kazuya | 79–72 | 52.32% |
| #SaveEvilJim vs Reina | 52–44 | 54.17% |
| #SaveEvilJim vs Hwoarang | 45–48 | 48.39% |
| #SaveEvilJim vs Lili | 46–46 | 50.00% |
| #SaveEvilJim vs Bryan | 43–41 | 51.19% |
| #SaveEvilJim vs King | 24–57 | 29.63% |
| #SaveEvilJim vs Jin | 38–35 | 52.05% |
| #SaveEvilJim vs Law | 38–30 | 55.88% |
| #SaveEvilJim vs Steve | 35–27 | 56.45% |
| #SaveEvilJim vs Clive | 38–23 | 62.30% |
| #SaveEvilJim vs Paul | 25–35 | 41.67% |
| #SaveEvilJim vs Yoshimitsu | 30–25 | 54.55% |
| #SaveEvilJim vs Heihachi | 26–27 | 49.06% |
| #SaveEvilJim vs Dragunov | 29–22 | 56.86% |
| #SaveEvilJim vs Alisa | 27–18 | 60.00% |
| #SaveEvilJim vs Lee | 30–14 | 68.18% |
| #SaveEvilJim vs Lars | 21–18 | 53.85% |
| #SaveEvilJim vs Asuka | 16–21 | 43.24% |
| #SaveEvilJim vs Victor | 19–17 | 52.78% |
| #SaveEvilJim vs Leroy | 15–17 | 46.88% |
| #SaveEvilJim vs Azucena | 12–19 | 38.71% |
| #SaveEvilJim vs Eddy | 13–18 | 41.94% |
| #SaveEvilJim vs Feng | 16–13 | 55.17% |
| #SaveEvilJim vs Jun | 19–8 | 70.37% |
| #SaveEvilJim vs Kuma | 10–16 | 38.46% |
| #SaveEvilJim vs Lidia | 10–16 | 38.46% |
| #SaveEvilJim vs Nina | 12–11 | 52.17% |
| #SaveEvilJim vs Devil Jin | 8–13 | 38.10% |
| #SaveEvilJim vs Jack-8 | 5–11 | 31.25% |
| #SaveEvilJim vs Raven | 7–9 | 43.75% |
| #SaveEvilJim vs Leo | 6–9 | 40.00% |
| #SaveEvilJim vs Claudio | 3–11 | 21.43% |
| #SaveEvilJim vs Xiaoyu | 8–5 | 61.54% |
| #SaveEvilJim vs Shaheen | 4–3 | 57.14% |
| #SaveEvilJim vs Fahkumram | 3–4 | 42.86% |
| #SaveEvilJim vs Panda | 2–0 | 100.00% |
| #SaveEvilJim vs Anna | 0–2 | 0.00% |
| #SaveEvilJim vs Zafina | 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.