| KenpachiPapi vs Jin | 17–29 | 36.96% |
| KenpachiPapi vs King | 17–23 | 42.50% |
| KenpachiPapi vs Kazuya | 10–24 | 29.41% |
| KenpachiPapi vs Paul | 18–15 | 54.55% |
| KenpachiPapi vs Steve | 24–9 | 72.73% |
| KenpachiPapi vs Lili | 11–10 | 52.38% |
| KenpachiPapi vs Asuka | 12–8 | 60.00% |
| KenpachiPapi vs Hwoarang | 13–6 | 68.42% |
| KenpachiPapi vs Dragunov | 11–7 | 61.11% |
| KenpachiPapi vs Reina | 9–9 | 50.00% |
| KenpachiPapi vs Azucena | 10–7 | 58.82% |
| KenpachiPapi vs Victor | 6–10 | 37.50% |
| KenpachiPapi vs Yoshimitsu | 9–6 | 60.00% |
| KenpachiPapi vs Bryan | 4–10 | 28.57% |
| KenpachiPapi vs Eddy | 6–7 | 46.15% |
| KenpachiPapi vs Law | 3–9 | 25.00% |
| KenpachiPapi vs Xiaoyu | 5–7 | 41.67% |
| KenpachiPapi vs Jun | 6–6 | 50.00% |
| KenpachiPapi vs Devil Jin | 4–7 | 36.36% |
| KenpachiPapi vs Leo | 5–6 | 45.45% |
| KenpachiPapi vs Lars | 4–7 | 36.36% |
| KenpachiPapi vs Nina | 3–7 | 30.00% |
| KenpachiPapi vs Feng | 1–8 | 11.11% |
| KenpachiPapi vs Raven | 4–5 | 44.44% |
| KenpachiPapi vs Lee | 4–4 | 50.00% |
| KenpachiPapi vs Kuma | 1–7 | 12.50% |
| KenpachiPapi vs Leroy | 4–3 | 57.14% |
| KenpachiPapi vs Panda | 1–4 | 20.00% |
| KenpachiPapi vs Zafina | 1–3 | 25.00% |
| KenpachiPapi vs Shaheen | 2–1 | 66.67% |
| KenpachiPapi vs Alisa | 1–1 | 50.00% |
| KenpachiPapi vs Heihachi | 2–0 | 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.