| Kenpachi972 vs Jin | 22–7 | 75.86% |
| Kenpachi972 vs Reina | 15–10 | 60.00% |
| Kenpachi972 vs Eddy | 17–8 | 68.00% |
| Kenpachi972 vs Law | 13–10 | 56.52% |
| Kenpachi972 vs Azucena | 11–5 | 68.75% |
| Kenpachi972 vs Paul | 11–4 | 73.33% |
| Kenpachi972 vs Yoshimitsu | 11–4 | 73.33% |
| Kenpachi972 vs King | 8–5 | 61.54% |
| Kenpachi972 vs Jun | 7–6 | 53.85% |
| Kenpachi972 vs Lee | 9–3 | 75.00% |
| Kenpachi972 vs Kazuya | 6–5 | 54.55% |
| Kenpachi972 vs Alisa | 7–4 | 63.64% |
| Kenpachi972 vs Nina | 6–5 | 54.55% |
| Kenpachi972 vs Bryan | 6–4 | 60.00% |
| Kenpachi972 vs Dragunov | 7–3 | 70.00% |
| Kenpachi972 vs Victor | 6–3 | 66.67% |
| Kenpachi972 vs Hwoarang | 4–4 | 50.00% |
| Kenpachi972 vs Steve | 5–3 | 62.50% |
| Kenpachi972 vs Asuka | 6–1 | 85.71% |
| Kenpachi972 vs Lars | 4–3 | 57.14% |
| Kenpachi972 vs Raven | 6–1 | 85.71% |
| Kenpachi972 vs Feng | 2–3 | 40.00% |
| Kenpachi972 vs Lili | 2–3 | 40.00% |
| Kenpachi972 vs Jack-8 | 3–1 | 75.00% |
| Kenpachi972 vs Devil Jin | 2–2 | 50.00% |
| Kenpachi972 vs Claudio | 2–2 | 50.00% |
| Kenpachi972 vs Xiaoyu | 3–0 | 100.00% |
| Kenpachi972 vs Leo | 1–2 | 33.33% |
| Kenpachi972 vs Kuma | 2–1 | 66.67% |
| Kenpachi972 vs Zafina | 2–1 | 66.67% |
| Kenpachi972 vs Leroy | 1–2 | 33.33% |
| Kenpachi972 vs Shaheen | 0–1 | 0.00% |
| Kenpachi972 vs Panda | 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.