| Cpt Schizzle vs Kazuya | 23–28 | 45.10% |
| Cpt Schizzle vs Bryan | 14–21 | 40.00% |
| Cpt Schizzle vs King | 9–17 | 34.62% |
| Cpt Schizzle vs Lili | 8–17 | 32.00% |
| Cpt Schizzle vs Yoshimitsu | 12–12 | 50.00% |
| Cpt Schizzle vs Devil Jin | 8–14 | 36.36% |
| Cpt Schizzle vs Law | 5–15 | 25.00% |
| Cpt Schizzle vs Claudio | 12–8 | 60.00% |
| Cpt Schizzle vs Dragunov | 5–14 | 26.32% |
| Cpt Schizzle vs Hwoarang | 5–13 | 27.78% |
| Cpt Schizzle vs Jin | 5–11 | 31.25% |
| Cpt Schizzle vs Reina | 4–11 | 26.67% |
| Cpt Schizzle vs Lee | 2–11 | 15.38% |
| Cpt Schizzle vs Paul | 4–8 | 33.33% |
| Cpt Schizzle vs Steve | 6–6 | 50.00% |
| Cpt Schizzle vs Leroy | 4–7 | 36.36% |
| Cpt Schizzle vs Jun | 3–7 | 30.00% |
| Cpt Schizzle vs Azucena | 3–7 | 30.00% |
| Cpt Schizzle vs Victor | 3–7 | 30.00% |
| Cpt Schizzle vs Clive | 2–7 | 22.22% |
| Cpt Schizzle vs Lars | 0–7 | 0.00% |
| Cpt Schizzle vs Feng | 2–4 | 33.33% |
| Cpt Schizzle vs Lidia | 2–4 | 33.33% |
| Cpt Schizzle vs Alisa | 3–2 | 60.00% |
| Cpt Schizzle vs Jack-8 | 0–4 | 0.00% |
| Cpt Schizzle vs Leo | 0–4 | 0.00% |
| Cpt Schizzle vs Shaheen | 1–2 | 33.33% |
| Cpt Schizzle vs Nina | 1–2 | 33.33% |
| Cpt Schizzle vs Asuka | 0–2 | 0.00% |
| Cpt Schizzle vs Zafina | 0–2 | 0.00% |
| Cpt Schizzle vs Heihachi | 0–2 | 0.00% |
| Cpt Schizzle vs Anna | 1–1 | 50.00% |
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.