| PochiDaBun vs King | 34–51 | 40.00% |
| PochiDaBun vs Armor King | 28–50 | 35.90% |
| PochiDaBun vs Jin | 31–36 | 46.27% |
| PochiDaBun vs Steve | 27–38 | 41.54% |
| PochiDaBun vs Kazuya | 21–29 | 42.00% |
| PochiDaBun vs Reina | 23–25 | 47.92% |
| PochiDaBun vs Dragunov | 23–21 | 52.27% |
| PochiDaBun vs Bryan | 19–23 | 45.24% |
| PochiDaBun vs Azucena | 19–20 | 48.72% |
| PochiDaBun vs Heihachi | 15–24 | 38.46% |
| PochiDaBun vs Hwoarang | 14–20 | 41.18% |
| PochiDaBun vs Asuka | 14–19 | 42.42% |
| PochiDaBun vs Fahkumram | 17–16 | 51.52% |
| PochiDaBun vs Leo | 14–18 | 43.75% |
| PochiDaBun vs Jun | 16–15 | 51.61% |
| PochiDaBun vs Lars | 19–9 | 67.86% |
| PochiDaBun vs Law | 12–15 | 44.44% |
| PochiDaBun vs Lee | 14–13 | 51.85% |
| PochiDaBun vs Victor | 14–10 | 58.33% |
| PochiDaBun vs Eddy | 12–10 | 54.55% |
| PochiDaBun vs Clive | 14–7 | 66.67% |
| PochiDaBun vs Jack-8 | 7–12 | 36.84% |
| PochiDaBun vs Devil Jin | 10–9 | 52.63% |
| PochiDaBun vs Paul | 7–11 | 38.89% |
| PochiDaBun vs Leroy | 9–9 | 50.00% |
| PochiDaBun vs Lidia | 8–10 | 44.44% |
| PochiDaBun vs Yoshimitsu | 8–9 | 47.06% |
| PochiDaBun vs Alisa | 6–9 | 40.00% |
| PochiDaBun vs Xiaoyu | 7–7 | 50.00% |
| PochiDaBun vs Lili | 5–9 | 35.71% |
| PochiDaBun vs Raven | 8–4 | 66.67% |
| PochiDaBun vs Nina | 9–2 | 81.82% |
| PochiDaBun vs Zafina | 5–6 | 45.45% |
| PochiDaBun vs Anna | 6–4 | 60.00% |
| PochiDaBun vs Claudio | 4–5 | 44.44% |
| PochiDaBun vs Feng | 0–7 | 0.00% |
| PochiDaBun vs Kuma | 3–3 | 50.00% |
| PochiDaBun vs Shaheen | 2–3 | 40.00% |
| PochiDaBun vs Miary Zo | 2–1 | 66.67% |
| PochiDaBun 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.