| PiNgAnOw vs Jin | 91–24 | 79.13% |
| PiNgAnOw vs Kazuya | 93–15 | 86.11% |
| PiNgAnOw vs King | 82–13 | 86.32% |
| PiNgAnOw vs Bryan | 61–28 | 68.54% |
| PiNgAnOw vs Law | 55–19 | 74.32% |
| PiNgAnOw vs Eddy | 56–15 | 78.87% |
| PiNgAnOw vs Lili | 59–9 | 86.76% |
| PiNgAnOw vs Dragunov | 51–16 | 76.12% |
| PiNgAnOw vs Heihachi | 47–15 | 75.81% |
| PiNgAnOw vs Hwoarang | 46–12 | 79.31% |
| PiNgAnOw vs Paul | 41–12 | 77.36% |
| PiNgAnOw vs Reina | 45–4 | 91.84% |
| PiNgAnOw vs Yoshimitsu | 33–15 | 68.75% |
| PiNgAnOw vs Steve | 41–7 | 85.42% |
| PiNgAnOw vs Asuka | 32–14 | 69.57% |
| PiNgAnOw vs Xiaoyu | 37–8 | 82.22% |
| PiNgAnOw vs Azucena | 30–11 | 73.17% |
| PiNgAnOw vs Armor King | 27–14 | 65.85% |
| PiNgAnOw vs Nina | 31–9 | 77.50% |
| PiNgAnOw vs Devil Jin | 32–7 | 82.05% |
| PiNgAnOw vs Feng | 31–7 | 81.58% |
| PiNgAnOw vs Leroy | 25–12 | 67.57% |
| PiNgAnOw vs Victor | 30–6 | 83.33% |
| PiNgAnOw vs Miary Zo | 25–11 | 69.44% |
| PiNgAnOw vs Lars | 30–5 | 85.71% |
| PiNgAnOw vs Lee | 23–12 | 65.71% |
| PiNgAnOw vs Jun | 21–7 | 75.00% |
| PiNgAnOw vs Clive | 21–6 | 77.78% |
| PiNgAnOw vs Alisa | 18–8 | 69.23% |
| PiNgAnOw vs Lidia | 16–5 | 76.19% |
| PiNgAnOw vs Claudio | 16–2 | 88.89% |
| PiNgAnOw vs Zafina | 14–3 | 82.35% |
| PiNgAnOw vs Kuma | 9–6 | 60.00% |
| PiNgAnOw vs Jack-8 | 6–8 | 42.86% |
| PiNgAnOw vs Leo | 11–3 | 78.57% |
| PiNgAnOw vs Raven | 7–6 | 53.85% |
| PiNgAnOw vs Anna | 5–5 | 50.00% |
| PiNgAnOw vs Fahkumram | 5–5 | 50.00% |
| PiNgAnOw vs Shaheen | 2–3 | 40.00% |
| PiNgAnOw vs Panda | 3–0 | 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.