| Papojin vs Kazuya | 210–251 | 45.55% |
| Papojin vs Jin | 152–169 | 47.35% |
| Papojin vs Hwoarang | 157–137 | 53.40% |
| Papojin vs Bryan | 114–159 | 41.76% |
| Papojin vs King | 128–144 | 47.06% |
| Papojin vs Reina | 114–145 | 44.02% |
| Papojin vs Law | 100–116 | 46.30% |
| Papojin vs Steve | 103–98 | 51.24% |
| Papojin vs Yoshimitsu | 93–100 | 48.19% |
| Papojin vs Dragunov | 76–100 | 43.18% |
| Papojin vs Paul | 52–99 | 34.44% |
| Papojin vs Heihachi | 58–83 | 41.13% |
| Papojin vs Devil Jin | 61–78 | 43.88% |
| Papojin vs Asuka | 60–75 | 44.44% |
| Papojin vs Lee | 45–89 | 33.58% |
| Papojin vs Jun | 51–71 | 41.80% |
| Papojin vs Lili | 60–60 | 50.00% |
| Papojin vs Alisa | 52–57 | 47.71% |
| Papojin vs Nina | 53–54 | 49.53% |
| Papojin vs Azucena | 44–49 | 47.31% |
| Papojin vs Victor | 37–54 | 40.66% |
| Papojin vs Eddy | 52–38 | 57.78% |
| Papojin vs Feng | 38–49 | 43.68% |
| Papojin vs Lars | 39–42 | 48.15% |
| Papojin vs Xiaoyu | 40–38 | 51.28% |
| Papojin vs Leroy | 34–42 | 44.74% |
| Papojin vs Lidia | 32–40 | 44.44% |
| Papojin vs Claudio | 33–30 | 52.38% |
| Papojin vs Raven | 19–26 | 42.22% |
| Papojin vs Leo | 15–28 | 34.88% |
| Papojin vs Jack-8 | 22–20 | 52.38% |
| Papojin vs Armor King | 20–19 | 51.28% |
| Papojin vs Zafina | 21–17 | 55.26% |
| Papojin vs Shaheen | 20–17 | 54.05% |
| Papojin vs Kuma | 17–19 | 47.22% |
| Papojin vs Clive | 13–22 | 37.14% |
| Papojin vs Fahkumram | 11–23 | 32.35% |
| Papojin vs Anna | 10–15 | 40.00% |
| Papojin vs Panda | 7–8 | 46.67% |
| Papojin vs Miary Zo | 0–2 | 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.