| ImNotKakser vs Kazuya | 58–33 | 63.74% |
| ImNotKakser vs Heihachi | 38–20 | 65.52% |
| ImNotKakser vs King | 30–23 | 56.60% |
| ImNotKakser vs Steve | 34–19 | 64.15% |
| ImNotKakser vs Bryan | 28–22 | 56.00% |
| ImNotKakser vs Dragunov | 28–20 | 58.33% |
| ImNotKakser vs Jun | 23–15 | 60.53% |
| ImNotKakser vs Jin | 18–19 | 48.65% |
| ImNotKakser vs Asuka | 21–16 | 56.76% |
| ImNotKakser vs Fahkumram | 16–20 | 44.44% |
| ImNotKakser vs Hwoarang | 18–17 | 51.43% |
| ImNotKakser vs Reina | 22–13 | 62.86% |
| ImNotKakser vs Armor King | 20–10 | 66.67% |
| ImNotKakser vs Victor | 16–13 | 55.17% |
| ImNotKakser vs Law | 13–15 | 46.43% |
| ImNotKakser vs Lidia | 17–10 | 62.96% |
| ImNotKakser vs Clive | 16–11 | 59.26% |
| ImNotKakser vs Anna | 14–12 | 53.85% |
| ImNotKakser vs Yoshimitsu | 12–13 | 48.00% |
| ImNotKakser vs Paul | 10–12 | 45.45% |
| ImNotKakser vs Lili | 10–12 | 45.45% |
| ImNotKakser vs Nina | 10–12 | 45.45% |
| ImNotKakser vs Azucena | 11–11 | 50.00% |
| ImNotKakser vs Eddy | 7–15 | 31.82% |
| ImNotKakser vs Alisa | 10–9 | 52.63% |
| ImNotKakser vs Claudio | 10–8 | 55.56% |
| ImNotKakser vs Devil Jin | 4–13 | 23.53% |
| ImNotKakser vs Leroy | 9–5 | 64.29% |
| ImNotKakser vs Xiaoyu | 7–5 | 58.33% |
| ImNotKakser vs Jack-8 | 8–4 | 66.67% |
| ImNotKakser vs Feng | 4–8 | 33.33% |
| ImNotKakser vs Leo | 5–6 | 45.45% |
| ImNotKakser vs Lars | 7–4 | 63.64% |
| ImNotKakser vs Raven | 3–8 | 27.27% |
| ImNotKakser vs Lee | 4–4 | 50.00% |
| ImNotKakser vs Shaheen | 2–2 | 50.00% |
| ImNotKakser vs Kuma | 1–0 | 100.00% |
| ImNotKakser vs Panda | 1–0 | 100.00% |
| ImNotKakser vs Zafina | 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.