| PrunChoc vs Kazuya | 78–75 | 50.98% |
| PrunChoc vs Jin | 53–44 | 54.64% |
| PrunChoc vs King | 49–47 | 51.04% |
| PrunChoc vs Bryan | 52–43 | 54.74% |
| PrunChoc vs Lili | 33–32 | 50.77% |
| PrunChoc vs Reina | 43–20 | 68.25% |
| PrunChoc vs Lee | 29–33 | 46.77% |
| PrunChoc vs Yoshimitsu | 36–23 | 61.02% |
| PrunChoc vs Asuka | 32–27 | 54.24% |
| PrunChoc vs Steve | 32–23 | 58.18% |
| PrunChoc vs Paul | 28–26 | 51.85% |
| PrunChoc vs Hwoarang | 30–23 | 56.60% |
| PrunChoc vs Heihachi | 31–19 | 62.00% |
| PrunChoc vs Feng | 26–20 | 56.52% |
| PrunChoc vs Law | 27–17 | 61.36% |
| PrunChoc vs Devil Jin | 25–19 | 56.82% |
| PrunChoc vs Dragunov | 24–18 | 57.14% |
| PrunChoc vs Jun | 21–20 | 51.22% |
| PrunChoc vs Azucena | 23–12 | 65.71% |
| PrunChoc vs Victor | 25–10 | 71.43% |
| PrunChoc vs Fahkumram | 24–7 | 77.42% |
| PrunChoc vs Leo | 17–12 | 58.62% |
| PrunChoc vs Xiaoyu | 11–17 | 39.29% |
| PrunChoc vs Leroy | 16–10 | 61.54% |
| PrunChoc vs Anna | 15–11 | 57.69% |
| PrunChoc vs Alisa | 13–12 | 52.00% |
| PrunChoc vs Claudio | 9–15 | 37.50% |
| PrunChoc vs Lidia | 17–6 | 73.91% |
| PrunChoc vs Lars | 13–9 | 59.09% |
| PrunChoc vs Nina | 9–12 | 42.86% |
| PrunChoc vs Eddy | 16–4 | 80.00% |
| PrunChoc vs Clive | 13–7 | 65.00% |
| PrunChoc vs Jack-8 | 11–6 | 64.71% |
| PrunChoc vs Raven | 9–8 | 52.94% |
| PrunChoc vs Zafina | 10–6 | 62.50% |
| PrunChoc vs Kuma | 8–3 | 72.73% |
| PrunChoc vs Shaheen | 6–4 | 60.00% |
| PrunChoc vs Armor King | 3–7 | 30.00% |
| PrunChoc vs Panda | 4–2 | 66.67% |
| PrunChoc vs Miary Zo | 1–1 | 50.00% |
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.