| 32cent vs Armor King | 19–6 | 76.00% |
| 32cent vs King | 10–12 | 45.45% |
| 32cent vs Hwoarang | 6–16 | 27.27% |
| 32cent vs Steve | 8–11–1 | 42.11% |
| 32cent vs Lili | 7–9 | 43.75% |
| 32cent vs Miary Zo | 8–8 | 50.00% |
| 32cent vs Bryan | 6–9 | 40.00% |
| 32cent vs Reina | 9–6 | 60.00% |
| 32cent vs Eddy | 8–7 | 53.33% |
| 32cent vs Jun | 7–6 | 53.85% |
| 32cent vs Feng | 6–5 | 54.55% |
| 32cent vs Clive | 2–8 | 20.00% |
| 32cent vs Law | 6–3 | 66.67% |
| 32cent vs Dragunov | 6–3 | 66.67% |
| 32cent vs Azucena | 4–5 | 44.44% |
| 32cent vs Yoshimitsu | 4–4 | 50.00% |
| 32cent vs Asuka | 4–4 | 50.00% |
| 32cent vs Lars | 1–7 | 12.50% |
| 32cent vs Alisa | 4–4 | 50.00% |
| 32cent vs Lidia | 3–5 | 37.50% |
| 32cent vs Kazuya | 4–3 | 57.14% |
| 32cent vs Jin | 2–4 | 33.33% |
| 32cent vs Nina | 4–2 | 66.67% |
| 32cent vs Victor | 2–4 | 33.33% |
| 32cent vs Jack-8 | 4–1 | 80.00% |
| 32cent vs Devil Jin | 1–4 | 20.00% |
| 32cent vs Zafina | 1–3 | 25.00% |
| 32cent vs Leroy | 2–2 | 50.00% |
| 32cent vs Raven | 3–1 | 75.00% |
| 32cent vs Heihachi | 3–1 | 75.00% |
| 32cent vs Fahkumram | 2–2 | 50.00% |
| 32cent vs Paul | 2–1 | 66.67% |
| 32cent vs Xiaoyu | 2–1 | 66.67% |
| 32cent vs Kuma | 3–0 | 100.00% |
| 32cent vs Claudio | 2–0 | 100.00% |
| 32cent vs Shaheen | 1–0 | 100.00% |
| 32cent vs Lee | 1–0 | 100.00% |
| 32cent vs Panda | 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.