| TrapChungus vs Jin | 26–18 | 59.09% |
| TrapChungus vs King | 23–13 | 63.89% |
| TrapChungus vs Steve | 20–11 | 64.52% |
| TrapChungus vs Dragunov | 14–13 | 51.85% |
| TrapChungus vs Reina | 18–7 | 72.00% |
| TrapChungus vs Eddy | 13–11 | 54.17% |
| TrapChungus vs Bryan | 15–6 | 71.43% |
| TrapChungus vs Jun | 12–7 | 63.16% |
| TrapChungus vs Kazuya | 8–9 | 47.06% |
| TrapChungus vs Heihachi | 7–10 | 41.18% |
| TrapChungus vs Law | 9–7 | 56.25% |
| TrapChungus vs Hwoarang | 10–6 | 62.50% |
| TrapChungus vs Azucena | 11–3 | 78.57% |
| TrapChungus vs Paul | 3–10 | 23.08% |
| TrapChungus vs Yoshimitsu | 8–3 | 72.73% |
| TrapChungus vs Devil Jin | 6–5 | 54.55% |
| TrapChungus vs Raven | 8–3 | 72.73% |
| TrapChungus vs Lili | 4–6 | 40.00% |
| TrapChungus vs Jack-8 | 6–3 | 66.67% |
| TrapChungus vs Asuka | 6–3 | 66.67% |
| TrapChungus vs Victor | 7–2 | 77.78% |
| TrapChungus vs Lars | 3–5 | 37.50% |
| TrapChungus vs Nina | 3–4 | 42.86% |
| TrapChungus vs Lidia | 2–5 | 28.57% |
| TrapChungus vs Leo | 1–5 | 16.67% |
| TrapChungus vs Lee | 6–0 | 100.00% |
| TrapChungus vs Leroy | 4–2 | 66.67% |
| TrapChungus vs Xiaoyu | 4–1 | 80.00% |
| TrapChungus vs Alisa | 3–2 | 60.00% |
| TrapChungus vs Panda | 3–2 | 60.00% |
| TrapChungus vs Anna | 3–2 | 60.00% |
| TrapChungus vs Feng | 2–1 | 66.67% |
| TrapChungus vs Claudio | 0–3 | 0.00% |
| TrapChungus vs Shaheen | 2–1 | 66.67% |
| TrapChungus vs Fahkumram | 1–2 | 33.33% |
| TrapChungus vs Kuma | 2–0 | 100.00% |
| TrapChungus vs Clive | 2–0 | 100.00% |
| TrapChungus vs Zafina | 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.