| Zenpachi vs Law | 38–19 | 66.67% |
| Zenpachi vs Jin | 30–23 | 56.60% |
| Zenpachi vs King | 34–18 | 65.38% |
| Zenpachi vs Lili | 27–12 | 69.23% |
| Zenpachi vs Yoshimitsu | 27–8 | 77.14% |
| Zenpachi vs Hwoarang | 27–8 | 77.14% |
| Zenpachi vs Steve | 17–16 | 51.52% |
| Zenpachi vs Eddy | 17–16 | 51.52% |
| Zenpachi vs Kazuya | 19–12 | 61.29% |
| Zenpachi vs Raven | 17–14 | 54.84% |
| Zenpachi vs Reina | 15–15 | 50.00% |
| Zenpachi vs Lee | 21–8 | 72.41% |
| Zenpachi vs Feng | 13–14 | 48.15% |
| Zenpachi vs Lars | 16–11 | 59.26% |
| Zenpachi vs Paul | 17–6 | 73.91% |
| Zenpachi vs Dragunov | 12–11 | 52.17% |
| Zenpachi vs Nina | 11–11 | 50.00% |
| Zenpachi vs Xiaoyu | 11–9 | 55.00% |
| Zenpachi vs Bryan | 5–14 | 26.32% |
| Zenpachi vs Victor | 10–9 | 52.63% |
| Zenpachi vs Leo | 9–8 | 52.94% |
| Zenpachi vs Azucena | 12–3 | 80.00% |
| Zenpachi vs Asuka | 9–5 | 64.29% |
| Zenpachi vs Jack-8 | 4–9 | 30.77% |
| Zenpachi vs Jun | 6–7 | 46.15% |
| Zenpachi vs Kuma | 4–8 | 33.33% |
| Zenpachi vs Leroy | 4–8 | 33.33% |
| Zenpachi vs Shaheen | 7–4 | 63.64% |
| Zenpachi vs Lidia | 7–4 | 63.64% |
| Zenpachi vs Devil Jin | 6–4 | 60.00% |
| Zenpachi vs Zafina | 4–6 | 40.00% |
| Zenpachi vs Alisa | 4–5 | 44.44% |
| Zenpachi vs Claudio | 1–6 | 14.29% |
| Zenpachi vs Heihachi | 3–3 | 50.00% |
| Zenpachi vs Clive | 1–2 | 33.33% |
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.