| p4n4ino vs Reina | 121–20 | 85.82% |
| p4n4ino vs Kazuya | 86–36–1 | 70.49% |
| p4n4ino vs Dragunov | 95–26 | 78.51% |
| p4n4ino vs Bryan | 79–29 | 73.15% |
| p4n4ino vs Asuka | 72–28 | 72.00% |
| p4n4ino vs Heihachi | 64–31 | 67.37% |
| p4n4ino vs Paul | 67–25 | 72.83% |
| p4n4ino vs Steve | 70–22 | 76.09% |
| p4n4ino vs King | 70–18–1 | 79.55% |
| p4n4ino vs Jun | 73–15 | 82.95% |
| p4n4ino vs Jin | 60–20 | 75.00% |
| p4n4ino vs Lili | 59–18 | 76.62% |
| p4n4ino vs Lidia | 56–12–1 | 82.35% |
| p4n4ino vs Hwoarang | 42–25 | 62.69% |
| p4n4ino vs Law | 46–12 | 79.31% |
| p4n4ino vs Azucena | 47–11 | 81.03% |
| p4n4ino vs Victor | 37–11 | 77.08% |
| p4n4ino vs Leo | 34–13 | 72.34% |
| p4n4ino vs Yoshimitsu | 38–8 | 82.61% |
| p4n4ino vs Nina | 35–8 | 81.40% |
| p4n4ino vs Alisa | 31–11 | 73.81% |
| p4n4ino vs Jack-8 | 35–6 | 85.37% |
| p4n4ino vs Devil Jin | 28–11 | 71.79% |
| p4n4ino vs Lars | 29–10 | 74.36% |
| p4n4ino vs Claudio | 25–13 | 65.79% |
| p4n4ino vs Armor King | 34–3 | 91.89% |
| p4n4ino vs Lee | 28–7 | 80.00% |
| p4n4ino vs Zafina | 28–7 | 80.00% |
| p4n4ino vs Feng | 24–7 | 77.42% |
| p4n4ino vs Shaheen | 20–10 | 66.67% |
| p4n4ino vs Eddy | 16–14 | 53.33% |
| p4n4ino vs Leroy | 19–10 | 65.52% |
| p4n4ino vs Anna | 19–9 | 67.86% |
| p4n4ino vs Kuma | 14–11 | 56.00% |
| p4n4ino vs Xiaoyu | 19–5 | 79.17% |
| p4n4ino vs Clive | 22–2 | 91.67% |
| p4n4ino vs Panda | 17–2 | 89.47% |
| p4n4ino vs Miary Zo | 15–3 | 83.33% |
| p4n4ino vs Raven | 7–9 | 43.75% |
| p4n4ino vs Fahkumram | 15–1 | 93.75% |
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.