| Moldypaper vs King | 60–20 | 75.00% |
| Moldypaper vs Bryan | 55–12 | 82.09% |
| Moldypaper vs Jin | 51–8 | 86.44% |
| Moldypaper vs Reina | 45–9 | 83.33% |
| Moldypaper vs Clive | 47–4 | 92.16% |
| Moldypaper vs Kazuya | 41–8 | 83.67% |
| Moldypaper vs Heihachi | 36–12 | 75.00% |
| Moldypaper vs Steve | 31–14 | 68.89% |
| Moldypaper vs Paul | 27–12 | 69.23% |
| Moldypaper vs Hwoarang | 33–6 | 84.62% |
| Moldypaper vs Jun | 27–9 | 75.00% |
| Moldypaper vs Yoshimitsu | 27–8 | 77.14% |
| Moldypaper vs Lili | 27–6 | 81.82% |
| Moldypaper vs Eddy | 24–9 | 72.73% |
| Moldypaper vs Raven | 23–9 | 71.88% |
| Moldypaper vs Azucena | 23–8 | 74.19% |
| Moldypaper vs Asuka | 17–12 | 58.62% |
| Moldypaper vs Lars | 25–4 | 86.21% |
| Moldypaper vs Devil Jin | 22–5 | 81.48% |
| Moldypaper vs Law | 18–8 | 69.23% |
| Moldypaper vs Dragunov | 18–8 | 69.23% |
| Moldypaper vs Alisa | 22–4 | 84.62% |
| Moldypaper vs Lee | 17–5 | 77.27% |
| Moldypaper vs Lidia | 19–2 | 90.48% |
| Moldypaper vs Claudio | 14–6 | 70.00% |
| Moldypaper vs Leo | 17–2 | 89.47% |
| Moldypaper vs Feng | 16–2 | 88.89% |
| Moldypaper vs Victor | 14–4 | 77.78% |
| Moldypaper vs Jack-8 | 12–4 | 75.00% |
| Moldypaper vs Xiaoyu | 14–1 | 93.33% |
| Moldypaper vs Leroy | 12–2 | 85.71% |
| Moldypaper vs Fahkumram | 9–3 | 75.00% |
| Moldypaper vs Nina | 8–3 | 72.73% |
| Moldypaper vs Armor King | 11–0 | 100.00% |
| Moldypaper vs Anna | 6–4 | 60.00% |
| Moldypaper vs Zafina | 6–3 | 66.67% |
| Moldypaper vs Miary Zo | 8–0 | 100.00% |
| Moldypaper vs Shaheen | 6–1 | 85.71% |
| Moldypaper vs Kuma | 6–0 | 100.00% |
| Moldypaper vs Panda | 2–0 | 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.