| Covid vs Jin | 36–42 | 46.15% |
| Covid vs King | 23–38 | 37.70% |
| Covid vs Kazuya | 22–17 | 56.41% |
| Covid vs Law | 17–18 | 48.57% |
| Covid vs Paul | 17–15–1 | 53.12% |
| Covid vs Armor King | 9–21 | 30.00% |
| Covid vs Steve | 13–15 | 46.43% |
| Covid vs Bryan | 11–16 | 40.74% |
| Covid vs Dragunov | 9–13 | 40.91% |
| Covid vs Heihachi | 10–11 | 47.62% |
| Covid vs Anna | 8–13 | 38.10% |
| Covid vs Victor | 6–12 | 33.33% |
| Covid vs Reina | 9–8 | 52.94% |
| Covid vs Hwoarang | 10–6 | 62.50% |
| Covid vs Devil Jin | 8–8 | 50.00% |
| Covid vs Lili | 6–8 | 42.86% |
| Covid vs Asuka | 6–7 | 46.15% |
| Covid vs Lars | 5–7 | 41.67% |
| Covid vs Kuma | 5–7 | 41.67% |
| Covid vs Jun | 1–11 | 8.33% |
| Covid vs Nina | 8–2 | 80.00% |
| Covid vs Azucena | 4–6 | 40.00% |
| Covid vs Eddy | 2–8 | 20.00% |
| Covid vs Clive | 5–5 | 50.00% |
| Covid vs Alisa | 3–5 | 37.50% |
| Covid vs Claudio | 5–3 | 62.50% |
| Covid vs Lee | 3–5 | 37.50% |
| Covid vs Miary Zo | 5–2 | 71.43% |
| Covid vs Feng | 2–4 | 33.33% |
| Covid vs Zafina | 6–0 | 100.00% |
| Covid vs Yoshimitsu | 3–1 | 75.00% |
| Covid vs Fahkumram | 1–3 | 25.00% |
| Covid vs Xiaoyu | 1–2 | 33.33% |
| Covid vs Jack-8 | 0–3 | 0.00% |
| Covid vs Leroy | 0–2 | 0.00% |
| Covid vs Raven | 2–0 | 100.00% |
| Covid vs Leo | 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.