TRJ| Kenpachi vs Jin | 346–223 | 60.81% |
TRJ| Kenpachi vs Dragunov | 253–212 | 54.41% |
TRJ| Kenpachi vs Kazuya | 243–207 | 54.00% |
TRJ| Kenpachi vs King | 215–183 | 54.02% |
TRJ| Kenpachi vs Bryan | 192–183 | 51.20% |
TRJ| Kenpachi vs Devil Jin | 152–166 | 47.80% |
TRJ| Kenpachi vs Paul | 149–144 | 50.85% |
TRJ| Kenpachi vs Feng | 143–142 | 50.18% |
TRJ| Kenpachi vs Law | 138–132–1 | 51.11% |
TRJ| Kenpachi vs Lee | 142–124 | 53.38% |
TRJ| Kenpachi vs Yoshimitsu | 144–100 | 59.02% |
TRJ| Kenpachi vs Hwoarang | 141–101 | 58.26% |
TRJ| Kenpachi vs Reina | 134–96 | 58.26% |
TRJ| Kenpachi vs Lars | 106–102 | 50.96% |
TRJ| Kenpachi vs Steve | 103–102 | 50.24% |
TRJ| Kenpachi vs Victor | 75–88 | 46.01% |
TRJ| Kenpachi vs Heihachi | 84–78 | 51.85% |
TRJ| Kenpachi vs Alisa | 87–61 | 58.78% |
TRJ| Kenpachi vs Claudio | 64–82 | 43.84% |
TRJ| Kenpachi vs Eddy | 73–61 | 54.48% |
TRJ| Kenpachi vs Nina | 69–64 | 51.88% |
TRJ| Kenpachi vs Jun | 75–51 | 59.52% |
TRJ| Kenpachi vs Asuka | 59–64 | 47.97% |
TRJ| Kenpachi vs Lili | 72–50 | 59.02% |
TRJ| Kenpachi vs Leroy | 62–54 | 53.45% |
TRJ| Kenpachi vs Jack-8 | 51–63 | 44.74% |
TRJ| Kenpachi vs Leo | 48–54 | 47.06% |
TRJ| Kenpachi vs Azucena | 54–48 | 52.94% |
TRJ| Kenpachi vs Kuma | 37–47 | 44.05% |
TRJ| Kenpachi vs Clive | 42–42 | 50.00% |
TRJ| Kenpachi vs Shaheen | 48–29 | 62.34% |
TRJ| Kenpachi vs Zafina | 41–31 | 56.94% |
TRJ| Kenpachi vs Lidia | 28–43 | 39.44% |
TRJ| Kenpachi vs Xiaoyu | 33–26 | 55.93% |
TRJ| Kenpachi vs Raven | 25–25 | 50.00% |
TRJ| Kenpachi vs Panda | 11–15 | 42.31% |
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.