| PgTooN vs Jin | 258–279 | 48.04% |
| PgTooN vs Kazuya | 217–195 | 52.67% |
| PgTooN vs Dragunov | 190–188 | 50.26% |
| PgTooN vs Bryan | 163–197 | 45.28% |
| PgTooN vs Heihachi | 160–184 | 46.51% |
| PgTooN vs King | 160–168 | 48.78% |
| PgTooN vs Reina | 186–142 | 56.71% |
| PgTooN vs Steve | 171–142 | 54.63% |
| PgTooN vs Law | 144–127 | 53.14% |
| PgTooN vs Lili | 107–134 | 44.40% |
| PgTooN vs Hwoarang | 121–105 | 53.54% |
| PgTooN vs Devil Jin | 94–109 | 46.31% |
| PgTooN vs Yoshimitsu | 68–126 | 35.05% |
| PgTooN vs Jun | 82–102 | 44.57% |
| PgTooN vs Asuka | 65–107 | 37.79% |
| PgTooN vs Clive | 83–88 | 48.54% |
| PgTooN vs Lee | 80–88 | 47.62% |
| PgTooN vs Armor King | 84–79 | 51.53% |
| PgTooN vs Lars | 61–95 | 39.10% |
| PgTooN vs Xiaoyu | 73–82 | 47.10% |
| PgTooN vs Paul | 67–80 | 45.58% |
| PgTooN vs Victor | 49–78 | 38.58% |
| PgTooN vs Leo | 49–73 | 40.16% |
| PgTooN vs Claudio | 48–69 | 41.03% |
| PgTooN vs Nina | 45–69 | 39.47% |
| PgTooN vs Fahkumram | 61–52 | 53.98% |
| PgTooN vs Lidia | 50–57 | 46.73% |
| PgTooN vs Alisa | 45–57 | 44.12% |
| PgTooN vs Azucena | 30–47 | 38.96% |
| PgTooN vs Raven | 23–53 | 30.26% |
| PgTooN vs Leroy | 40–28 | 58.82% |
| PgTooN vs Feng | 30–35 | 46.15% |
| PgTooN vs Eddy | 19–45 | 29.69% |
| PgTooN vs Shaheen | 24–39 | 38.10% |
| PgTooN vs Jack-8 | 23–35 | 39.66% |
| PgTooN vs Anna | 33–23 | 58.93% |
| PgTooN vs Zafina | 17–31 | 35.42% |
| PgTooN vs Kuma | 18–20 | 47.37% |
| PgTooN vs Miary Zo | 13–17 | 43.33% |
| PgTooN vs Panda | 11–8 | 57.89% |
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.