| Dimell vs Reina | 25–4 | 86.21% |
| Dimell vs Kazuya | 22–6 | 78.57% |
| Dimell vs Paul | 17–6 | 73.91% |
| Dimell vs Lili | 12–8 | 60.00% |
| Dimell vs Dragunov | 13–6 | 68.42% |
| Dimell vs Asuka | 9–8 | 52.94% |
| Dimell vs Feng | 13–2 | 86.67% |
| Dimell vs Bryan | 8–5 | 61.54% |
| Dimell vs Steve | 10–3 | 76.92% |
| Dimell vs Armor King | 9–4 | 69.23% |
| Dimell vs Azucena | 8–4 | 66.67% |
| Dimell vs King | 10–1 | 90.91% |
| Dimell vs Hwoarang | 10–1 | 90.91% |
| Dimell vs Alisa | 8–3 | 72.73% |
| Dimell vs Jun | 9–2 | 81.82% |
| Dimell vs Kuma | 5–5 | 50.00% |
| Dimell vs Jin | 9–0 | 100.00% |
| Dimell vs Victor | 4–5 | 44.44% |
| Dimell vs Xiaoyu | 4–2 | 66.67% |
| Dimell vs Leo | 4–2 | 66.67% |
| Dimell vs Nina | 4–2 | 66.67% |
| Dimell vs Eddy | 5–1 | 83.33% |
| Dimell vs Yoshimitsu | 1–4 | 20.00% |
| Dimell vs Devil Jin | 4–1 | 80.00% |
| Dimell vs Raven | 4–1 | 80.00% |
| Dimell vs Law | 3–1 | 75.00% |
| Dimell vs Claudio | 0–4 | 0.00% |
| Dimell vs Panda | 2–2 | 50.00% |
| Dimell vs Lidia | 4–0 | 100.00% |
| Dimell vs Miary Zo | 4–0 | 100.00% |
| Dimell vs Lee | 3–0 | 100.00% |
| Dimell vs Leroy | 3–0 | 100.00% |
| Dimell vs Heihachi | 3–0 | 100.00% |
| Dimell vs Fahkumram | 3–0 | 100.00% |
| Dimell vs Jack-8 | 1–1 | 50.00% |
| Dimell vs Lars | 2–0 | 100.00% |
| Dimell vs Shaheen | 2–0 | 100.00% |
| Dimell vs Zafina | 0–2 | 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.