| PaperShiv vs King | 50–33 | 60.24% |
| PaperShiv vs Bryan | 28–31 | 47.46% |
| PaperShiv vs Jin | 38–19 | 66.67% |
| PaperShiv vs Law | 23–30 | 43.40% |
| PaperShiv vs Steve | 25–23 | 52.08% |
| PaperShiv vs Hwoarang | 29–16 | 64.44% |
| PaperShiv vs Azucena | 19–22 | 46.34% |
| PaperShiv vs Yoshimitsu | 26–11 | 70.27% |
| PaperShiv vs Kazuya | 18–19 | 48.65% |
| PaperShiv vs Leo | 16–21 | 43.24% |
| PaperShiv vs Lars | 14–23 | 37.84% |
| PaperShiv vs Lili | 20–14 | 58.82% |
| PaperShiv vs Dragunov | 18–14 | 56.25% |
| PaperShiv vs Asuka | 22–9 | 70.97% |
| PaperShiv vs Eddy | 20–11 | 64.52% |
| PaperShiv vs Paul | 17–12 | 58.62% |
| PaperShiv vs Victor | 19–9 | 67.86% |
| PaperShiv vs Reina | 15–12 | 55.56% |
| PaperShiv vs Xiaoyu | 7–18 | 28.00% |
| PaperShiv vs Feng | 13–12 | 52.00% |
| PaperShiv vs Nina | 9–16 | 36.00% |
| PaperShiv vs Lee | 11–14 | 44.00% |
| PaperShiv vs Raven | 12–11 | 52.17% |
| PaperShiv vs Jun | 7–14 | 33.33% |
| PaperShiv vs Alisa | 11–6 | 64.71% |
| PaperShiv vs Heihachi | 7–9 | 43.75% |
| PaperShiv vs Claudio | 5–10 | 33.33% |
| PaperShiv vs Leroy | 8–7 | 53.33% |
| PaperShiv vs Anna | 11–2 | 84.62% |
| PaperShiv vs Shaheen | 5–6 | 45.45% |
| PaperShiv vs Lidia | 5–6 | 45.45% |
| PaperShiv vs Clive | 6–4 | 60.00% |
| PaperShiv vs Jack-8 | 4–4 | 50.00% |
| PaperShiv vs Devil Jin | 5–3 | 62.50% |
| PaperShiv vs Zafina | 1–7 | 12.50% |
| PaperShiv vs Panda | 2–4 | 33.33% |
| PaperShiv vs Kuma | 2–3 | 40.00% |
| PaperShiv vs Armor King | 2–1 | 66.67% |
| PaperShiv vs Miary Zo | 2–1 | 66.67% |
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.