Name history
| #SaveEvilJim | 23 Nov 2024 |
| #SaveDevilJin | 6 Sep 2024 |
| ChainsawFrogge | 28 Aug 2024 |
| #SaveEvilJim vs Lili | 17–20 | 45.95% |
| #SaveEvilJim vs Hwoarang | 13–23 | 36.11% |
| #SaveEvilJim vs Kazuya | 19–16 | 54.29% |
| #SaveEvilJim vs Reina | 20–13 | 60.61% |
| #SaveEvilJim vs Law | 19–7 | 73.08% |
| #SaveEvilJim vs King | 10–13 | 43.48% |
| #SaveEvilJim vs Bryan | 16–6 | 72.73% |
| #SaveEvilJim vs Steve | 13–9 | 59.09% |
| #SaveEvilJim vs Alisa | 12–8 | 60.00% |
| #SaveEvilJim vs Yoshimitsu | 11–8 | 57.89% |
| #SaveEvilJim vs Lidia | 7–12 | 36.84% |
| #SaveEvilJim vs Paul | 7–10 | 41.18% |
| #SaveEvilJim vs Dragunov | 12–5 | 70.59% |
| #SaveEvilJim vs Lars | 10–7 | 58.82% |
| #SaveEvilJim vs Kuma | 6–11 | 35.29% |
| #SaveEvilJim vs Victor | 9–8 | 52.94% |
| #SaveEvilJim vs Eddy | 7–9 | 43.75% |
| #SaveEvilJim vs Azucena | 7–8 | 46.67% |
| #SaveEvilJim vs Jin | 7–7 | 50.00% |
| #SaveEvilJim vs Leroy | 5–9 | 35.71% |
| #SaveEvilJim vs Jun | 9–5 | 64.29% |
| #SaveEvilJim vs Asuka | 2–5 | 28.57% |
| #SaveEvilJim vs Nina | 4–3 | 57.14% |
| #SaveEvilJim vs Feng | 4–2 | 66.67% |
| #SaveEvilJim vs Leo | 2–4 | 33.33% |
| #SaveEvilJim vs Heihachi | 1–4 | 20.00% |
| #SaveEvilJim vs Devil Jin | 0–4 | 0.00% |
| #SaveEvilJim vs Xiaoyu | 3–0 | 100.00% |
| #SaveEvilJim vs Claudio | 0–3 | 0.00% |
| #SaveEvilJim vs Raven | 0–3 | 0.00% |
| #SaveEvilJim vs Jack-8 | 0–2 | 0.00% |
| #SaveEvilJim vs Panda | 2–0 | 100.00% |
| #SaveEvilJim vs Lee | 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.