| PopCornFlakes vs King | 12–2 | 85.71% |
| PopCornFlakes vs Hwoarang | 11–3 | 78.57% |
| PopCornFlakes vs Jin | 9–0 | 100.00% |
| PopCornFlakes vs Heihachi | 9–0 | 100.00% |
| PopCornFlakes vs Law | 6–2 | 75.00% |
| PopCornFlakes vs Azucena | 8–0 | 100.00% |
| PopCornFlakes vs Paul | 3–2 | 60.00% |
| PopCornFlakes vs Lee | 5–0 | 100.00% |
| PopCornFlakes vs Steve | 3–1 | 75.00% |
| PopCornFlakes vs Asuka | 4–0 | 100.00% |
| PopCornFlakes vs Nina | 4–0 | 100.00% |
| PopCornFlakes vs Yoshimitsu | 2–1 | 66.67% |
| PopCornFlakes vs Kazuya | 2–1 | 66.67% |
| PopCornFlakes vs Kuma | 2–1 | 66.67% |
| PopCornFlakes vs Reina | 1–2 | 33.33% |
| PopCornFlakes vs Eddy | 3–0 | 100.00% |
| PopCornFlakes vs Lidia | 2–1 | 66.67% |
| PopCornFlakes vs Clive | 3–0 | 100.00% |
| PopCornFlakes vs Armor King | 1–2 | 33.33% |
| PopCornFlakes vs Jack-8 | 2–0 | 100.00% |
| PopCornFlakes vs Devil Jin | 1–1 | 50.00% |
| PopCornFlakes vs Lili | 1–1 | 50.00% |
| PopCornFlakes vs Dragunov | 1–1 | 50.00% |
| PopCornFlakes vs Lars | 2–0 | 100.00% |
| PopCornFlakes vs Victor | 1–1 | 50.00% |
| PopCornFlakes vs Fahkumram | 2–0 | 100.00% |
| PopCornFlakes vs Bryan | 0–1 | 0.00% |
| PopCornFlakes vs Alisa | 1–0 | 100.00% |
| PopCornFlakes vs Jun | 1–0 | 100.00% |
| PopCornFlakes vs Raven | 1–0 | 100.00% |
| PopCornFlakes vs Anna | 0–1 | 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.