| Feekz vs Jin | 25–28 | 47.17% |
| Feekz vs Clive | 27–26 | 50.94% |
| Feekz vs Kazuya | 18–29 | 38.30% |
| Feekz vs Dragunov | 22–14 | 61.11% |
| Feekz vs Bryan | 19–13 | 59.38% |
| Feekz vs King | 15–14 | 51.72% |
| Feekz vs Law | 10–15 | 40.00% |
| Feekz vs Jun | 12–11 | 52.17% |
| Feekz vs Victor | 14–8 | 63.64% |
| Feekz vs Asuka | 14–4 | 77.78% |
| Feekz vs Yoshimitsu | 12–5 | 70.59% |
| Feekz vs Hwoarang | 2–15 | 11.76% |
| Feekz vs Armor King | 8–8 | 50.00% |
| Feekz vs Lili | 7–8 | 46.67% |
| Feekz vs Lee | 8–7 | 53.33% |
| Feekz vs Devil Jin | 8–5–1 | 61.54% |
| Feekz vs Leo | 8–6 | 57.14% |
| Feekz vs Lars | 9–5 | 64.29% |
| Feekz vs Xiaoyu | 8–5 | 61.54% |
| Feekz vs Steve | 8–5 | 61.54% |
| Feekz vs Alisa | 8–4 | 66.67% |
| Feekz vs Claudio | 4–7 | 36.36% |
| Feekz vs Paul | 4–6 | 40.00% |
| Feekz vs Reina | 8–2 | 80.00% |
| Feekz vs Azucena | 9–1 | 90.00% |
| Feekz vs Raven | 8–0 | 100.00% |
| Feekz vs Lidia | 5–3 | 62.50% |
| Feekz vs Miary Zo | 2–6 | 25.00% |
| Feekz vs Feng | 4–3 | 57.14% |
| Feekz vs Shaheen | 2–5 | 28.57% |
| Feekz vs Anna | 3–3 | 50.00% |
| Feekz vs Fahkumram | 2–4 | 33.33% |
| Feekz vs Eddy | 3–2 | 60.00% |
| Feekz vs Leroy | 3–1 | 75.00% |
| Feekz vs Jack-8 | 3–0 | 100.00% |
| Feekz vs Nina | 2–1 | 66.67% |
| Feekz vs Heihachi | 2–0 | 100.00% |
| Feekz vs Kuma | 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.