| Doomic vs Jin | 30–16 | 65.22% |
| Doomic vs Kazuya | 27–14 | 65.85% |
| Doomic vs King | 23–14 | 62.16% |
| Doomic vs Reina | 20–14 | 58.82% |
| Doomic vs Hwoarang | 16–10 | 61.54% |
| Doomic vs Dragunov | 8–10 | 44.44% |
| Doomic vs Eddy | 11–6 | 64.71% |
| Doomic vs Bryan | 7–9 | 43.75% |
| Doomic vs Heihachi | 10–6 | 62.50% |
| Doomic vs Steve | 8–7 | 53.33% |
| Doomic vs Devil Jin | 8–7 | 53.33% |
| Doomic vs Lili | 9–6 | 60.00% |
| Doomic vs Paul | 6–8 | 42.86% |
| Doomic vs Asuka | 13–0 | 100.00% |
| Doomic vs Alisa | 6–7 | 46.15% |
| Doomic vs Yoshimitsu | 8–4 | 66.67% |
| Doomic vs Xiaoyu | 3–9 | 25.00% |
| Doomic vs Nina | 8–4 | 66.67% |
| Doomic vs Jun | 5–5 | 50.00% |
| Doomic vs Victor | 3–7 | 30.00% |
| Doomic vs Law | 8–1 | 88.89% |
| Doomic vs Feng | 7–2 | 77.78% |
| Doomic vs Lee | 2–6 | 25.00% |
| Doomic vs Azucena | 4–3 | 57.14% |
| Doomic vs Raven | 2–4 | 33.33% |
| Doomic vs Jack-8 | 3–2 | 60.00% |
| Doomic vs Lars | 3–2 | 60.00% |
| Doomic vs Leroy | 2–3 | 40.00% |
| Doomic vs Leo | 3–1 | 75.00% |
| Doomic vs Lidia | 2–2 | 50.00% |
| Doomic vs Fahkumram | 0–4 | 0.00% |
| Doomic vs Shaheen | 2–1 | 66.67% |
| Doomic vs Claudio | 0–2 | 0.00% |
| Doomic vs Kuma | 2–0 | 100.00% |
| Doomic vs Armor King | 2–0 | 100.00% |
| Doomic vs Panda | 1–0 | 100.00% |
| Doomic vs Clive | 1–0 | 100.00% |
| Doomic vs Miary Zo | 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.