| THANKS AMORKING vs Paul | 19–7 | 73.08% |
| THANKS AMORKING vs Hwoarang | 14–12 | 53.85% |
| THANKS AMORKING vs Kazuya | 8–17 | 32.00% |
| THANKS AMORKING vs Law | 12–10 | 54.55% |
| THANKS AMORKING vs Bryan | 16–3 | 84.21% |
| THANKS AMORKING vs Yoshimitsu | 8–10 | 44.44% |
| THANKS AMORKING vs King | 9–7 | 56.25% |
| THANKS AMORKING vs Asuka | 10–5 | 66.67% |
| THANKS AMORKING vs Reina | 5–10 | 33.33% |
| THANKS AMORKING vs Victor | 11–3 | 78.57% |
| THANKS AMORKING vs Jun | 9–4 | 69.23% |
| THANKS AMORKING vs Azucena | 10–3 | 76.92% |
| THANKS AMORKING vs Kuma | 6–6 | 50.00% |
| THANKS AMORKING vs Xiaoyu | 4–7 | 36.36% |
| THANKS AMORKING vs Devil Jin | 3–8 | 27.27% |
| THANKS AMORKING vs Feng | 3–8 | 27.27% |
| THANKS AMORKING vs Jack-8 | 6–4 | 60.00% |
| THANKS AMORKING vs Anna | 4–6 | 40.00% |
| THANKS AMORKING vs Steve | 5–4 | 55.56% |
| THANKS AMORKING vs Lili | 5–4 | 55.56% |
| THANKS AMORKING vs Nina | 8–1 | 88.89% |
| THANKS AMORKING vs Lee | 5–4 | 55.56% |
| THANKS AMORKING vs Lidia | 4–4 | 50.00% |
| THANKS AMORKING vs Claudio | 3–3 | 50.00% |
| THANKS AMORKING vs Zafina | 5–1 | 83.33% |
| THANKS AMORKING vs Eddy | 5–1 | 83.33% |
| THANKS AMORKING vs Jin | 1–4 | 20.00% |
| THANKS AMORKING vs Lars | 2–3 | 40.00% |
| THANKS AMORKING vs Alisa | 4–1 | 80.00% |
| THANKS AMORKING vs Leroy | 3–2 | 60.00% |
| THANKS AMORKING vs Shaheen | 1–3 | 25.00% |
| THANKS AMORKING vs Raven | 1–2 | 33.33% |
| THANKS AMORKING vs Clive | 1–2 | 33.33% |
| THANKS AMORKING vs Dragunov | 2–0 | 100.00% |
| THANKS AMORKING vs Leo | 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.