| Jimlarck vs Reina | 43–48 | 47.25% |
| Jimlarck vs Kazuya | 27–34 | 44.26% |
| Jimlarck vs Steve | 27–29 | 48.21% |
| Jimlarck vs Jin | 13–41 | 24.07% |
| Jimlarck vs King | 15–35 | 30.00% |
| Jimlarck vs Bryan | 23–27 | 46.00% |
| Jimlarck vs Dragunov | 19–27 | 41.30% |
| Jimlarck vs Hwoarang | 20–21 | 48.78% |
| Jimlarck vs Azucena | 15–22 | 40.54% |
| Jimlarck vs Lili | 16–20 | 44.44% |
| Jimlarck vs Eddy | 4–32 | 11.11% |
| Jimlarck vs Heihachi | 15–21 | 41.67% |
| Jimlarck vs Law | 20–15 | 57.14% |
| Jimlarck vs Yoshimitsu | 14–14 | 50.00% |
| Jimlarck vs Jun | 14–14 | 50.00% |
| Jimlarck vs Xiaoyu | 5–20 | 20.00% |
| Jimlarck vs Lee | 13–11 | 54.17% |
| Jimlarck vs Leo | 10–12 | 45.45% |
| Jimlarck vs Lars | 4–18 | 18.18% |
| Jimlarck vs Leroy | 11–10 | 52.38% |
| Jimlarck vs Paul | 8–8 | 50.00% |
| Jimlarck vs Victor | 7–8 | 46.67% |
| Jimlarck vs Clive | 6–9 | 40.00% |
| Jimlarck vs Devil Jin | 6–8 | 42.86% |
| Jimlarck vs Jack-8 | 6–6 | 50.00% |
| Jimlarck vs Anna | 4–8 | 33.33% |
| Jimlarck vs Feng | 2–9 | 18.18% |
| Jimlarck vs Nina | 5–6 | 45.45% |
| Jimlarck vs Asuka | 5–5 | 50.00% |
| Jimlarck vs Alisa | 3–7 | 30.00% |
| Jimlarck vs Claudio | 1–6 | 14.29% |
| Jimlarck vs Kuma | 2–5 | 28.57% |
| Jimlarck vs Shaheen | 5–1 | 83.33% |
| Jimlarck vs Zafina | 1–4 | 20.00% |
| Jimlarck vs Lidia | 3–2 | 60.00% |
| Jimlarck vs Armor King | 2–3 | 40.00% |
| Jimlarck vs Raven | 1–3 | 25.00% |
| Jimlarck vs Panda | 0–3 | 0.00% |
| Jimlarck vs Fahkumram | 2–0 | 100.00% |
| Jimlarck vs Miary Zo | 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.