| Dami vs Jin | 31–10 | 75.61% |
| Dami vs Steve | 30–10 | 75.00% |
| Dami vs Law | 27–6 | 81.82% |
| Dami vs Kazuya | 23–8 | 74.19% |
| Dami vs Bryan | 19–11 | 63.33% |
| Dami vs Hwoarang | 20–7 | 74.07% |
| Dami vs Reina | 20–7 | 74.07% |
| Dami vs Jun | 16–9 | 64.00% |
| Dami vs Eddy | 17–8 | 68.00% |
| Dami vs King | 12–9 | 57.14% |
| Dami vs Asuka | 15–6 | 71.43% |
| Dami vs Dragunov | 11–10 | 52.38% |
| Dami vs Lili | 14–5 | 73.68% |
| Dami vs Heihachi | 10–9 | 52.63% |
| Dami vs Lee | 14–4 | 77.78% |
| Dami vs Azucena | 15–2 | 88.24% |
| Dami vs Xiaoyu | 12–4 | 75.00% |
| Dami vs Devil Jin | 8–8 | 50.00% |
| Dami vs Victor | 13–3 | 81.25% |
| Dami vs Yoshimitsu | 14–1 | 93.33% |
| Dami vs Leo | 6–9 | 40.00% |
| Dami vs Leroy | 10–5 | 66.67% |
| Dami vs Miary Zo | 10–5 | 66.67% |
| Dami vs Lidia | 9–5 | 64.29% |
| Dami vs Paul | 6–7 | 46.15% |
| Dami vs Lars | 9–4 | 69.23% |
| Dami vs Claudio | 8–5 | 61.54% |
| Dami vs Armor King | 7–6 | 53.85% |
| Dami vs Anna | 11–1 | 91.67% |
| Dami vs Fahkumram | 7–5 | 58.33% |
| Dami vs Clive | 11–0 | 100.00% |
| Dami vs Alisa | 5–5 | 50.00% |
| Dami vs Feng | 4–3 | 57.14% |
| Dami vs Nina | 5–2 | 71.43% |
| Dami vs Jack-8 | 5–1 | 83.33% |
| Dami vs Kuma | 3–1 | 75.00% |
| Dami vs Zafina | 2–1 | 66.67% |
| Dami vs Shaheen | 0–2 | 0.00% |
| Dami vs Panda | 0–1 | 0.00% |
| Dami vs Raven | 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.