| Popcorn vs Heihachi | 51–50 | 50.50% |
| Popcorn vs Reina | 39–25 | 60.94% |
| Popcorn vs Kazuya | 21–22 | 48.84% |
| Popcorn vs Jin | 20–14 | 58.82% |
| Popcorn vs Bryan | 15–17 | 46.88% |
| Popcorn vs Azucena | 16–13 | 55.17% |
| Popcorn vs Dragunov | 15–12 | 55.56% |
| Popcorn vs Hwoarang | 16–10 | 61.54% |
| Popcorn vs Steve | 21–5 | 80.77% |
| Popcorn vs Lidia | 15–11 | 57.69% |
| Popcorn vs King | 13–12 | 52.00% |
| Popcorn vs Jun | 11–10 | 52.38% |
| Popcorn vs Asuka | 12–8 | 60.00% |
| Popcorn vs Lee | 7–11 | 38.89% |
| Popcorn vs Paul | 9–8 | 52.94% |
| Popcorn vs Xiaoyu | 7–10 | 41.18% |
| Popcorn vs Lili | 9–7 | 56.25% |
| Popcorn vs Claudio | 9–7 | 56.25% |
| Popcorn vs Lars | 6–8 | 42.86% |
| Popcorn vs Alisa | 8–6 | 57.14% |
| Popcorn vs Eddy | 4–10 | 28.57% |
| Popcorn vs Devil Jin | 7–6 | 53.85% |
| Popcorn vs Nina | 6–7 | 46.15% |
| Popcorn vs Feng | 6–6 | 50.00% |
| Popcorn vs Victor | 8–4 | 66.67% |
| Popcorn vs Yoshimitsu | 3–8 | 27.27% |
| Popcorn vs Leo | 9–1 | 90.00% |
| Popcorn vs Leroy | 5–5 | 50.00% |
| Popcorn vs Clive | 8–2 | 80.00% |
| Popcorn vs Law | 6–3 | 66.67% |
| Popcorn vs Jack-8 | 1–7 | 12.50% |
| Popcorn vs Zafina | 1–6 | 14.29% |
| Popcorn vs Kuma | 2–3 | 40.00% |
| Popcorn vs Raven | 2–3 | 40.00% |
| Popcorn vs Fahkumram | 4–0 | 100.00% |
| Popcorn vs Panda | 1–2 | 33.33% |
| Popcorn vs Anna | 1–0 | 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.