| DuhhWongGuy vs Kazuya | 32–13 | 71.11% |
| DuhhWongGuy vs Jin | 34–8 | 80.95% |
| DuhhWongGuy vs Hwoarang | 30–7 | 81.08% |
| DuhhWongGuy vs Dragunov | 22–10 | 68.75% |
| DuhhWongGuy vs Law | 23–4 | 85.19% |
| DuhhWongGuy vs King | 23–4 | 85.19% |
| DuhhWongGuy vs Bryan | 22–5 | 81.48% |
| DuhhWongGuy vs Reina | 20–3 | 86.96% |
| DuhhWongGuy vs Lee | 12–9 | 57.14% |
| DuhhWongGuy vs Steve | 11–8 | 57.89% |
| DuhhWongGuy vs Jun | 16–3 | 84.21% |
| DuhhWongGuy vs Heihachi | 15–4 | 78.95% |
| DuhhWongGuy vs Asuka | 12–6 | 66.67% |
| DuhhWongGuy vs Paul | 10–5 | 66.67% |
| DuhhWongGuy vs Yoshimitsu | 9–6 | 60.00% |
| DuhhWongGuy vs Lili | 10–5 | 66.67% |
| DuhhWongGuy vs Victor | 11–4 | 73.33% |
| DuhhWongGuy vs Feng | 9–5 | 64.29% |
| DuhhWongGuy vs Claudio | 9–3 | 75.00% |
| DuhhWongGuy vs Nina | 4–8 | 33.33% |
| DuhhWongGuy vs Lidia | 7–5 | 58.33% |
| DuhhWongGuy vs Lars | 8–3 | 72.73% |
| DuhhWongGuy vs Azucena | 9–2 | 81.82% |
| DuhhWongGuy vs Leo | 8–1 | 88.89% |
| DuhhWongGuy vs Alisa | 4–4 | 50.00% |
| DuhhWongGuy vs Eddy | 7–1 | 87.50% |
| DuhhWongGuy vs Clive | 6–2 | 75.00% |
| DuhhWongGuy vs Devil Jin | 5–2 | 71.43% |
| DuhhWongGuy vs Xiaoyu | 6–0 | 100.00% |
| DuhhWongGuy vs Raven | 4–2 | 66.67% |
| DuhhWongGuy vs Armor King | 4–2 | 66.67% |
| DuhhWongGuy vs Zafina | 2–3 | 40.00% |
| DuhhWongGuy vs Leroy | 2–2 | 50.00% |
| DuhhWongGuy vs Kuma | 0–2 | 0.00% |
| DuhhWongGuy vs Anna | 2–0 | 100.00% |
| DuhhWongGuy vs Miary Zo | 0–2 | 0.00% |
| DuhhWongGuy vs Jack-8 | 0–1 | 0.00% |
| DuhhWongGuy vs Panda | 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.