| NickKerrLuver vs Jin | 13–10 | 56.52% |
| NickKerrLuver vs Kazuya | 11–12 | 47.83% |
| NickKerrLuver vs Steve | 12–8 | 60.00% |
| NickKerrLuver vs King | 10–8 | 55.56% |
| NickKerrLuver vs Eddy | 9–6 | 60.00% |
| NickKerrLuver vs Miary Zo | 5–8 | 38.46% |
| NickKerrLuver vs Law | 6–6 | 50.00% |
| NickKerrLuver vs Bryan | 4–7 | 36.36% |
| NickKerrLuver vs Lee | 8–2 | 80.00% |
| NickKerrLuver vs Yoshimitsu | 5–4 | 55.56% |
| NickKerrLuver vs Lili | 5–4 | 55.56% |
| NickKerrLuver vs Reina | 4–5 | 44.44% |
| NickKerrLuver vs Clive | 2–7 | 22.22% |
| NickKerrLuver vs Alisa | 5–3 | 62.50% |
| NickKerrLuver vs Fahkumram | 4–4 | 50.00% |
| NickKerrLuver vs Asuka | 0–7 | 0.00% |
| NickKerrLuver vs Jun | 5–2 | 71.43% |
| NickKerrLuver vs Armor King | 2–5 | 28.57% |
| NickKerrLuver vs Hwoarang | 4–2 | 66.67% |
| NickKerrLuver vs Dragunov | 6–0 | 100.00% |
| NickKerrLuver vs Lars | 3–3 | 50.00% |
| NickKerrLuver vs Victor | 2–4 | 33.33% |
| NickKerrLuver vs Raven | 3–2 | 60.00% |
| NickKerrLuver vs Heihachi | 4–1 | 80.00% |
| NickKerrLuver vs Xiaoyu | 3–1 | 75.00% |
| NickKerrLuver vs Shaheen | 3–1 | 75.00% |
| NickKerrLuver vs Nina | 0–4 | 0.00% |
| NickKerrLuver vs Jack-8 | 1–2 | 33.33% |
| NickKerrLuver vs Anna | 2–1 | 66.67% |
| NickKerrLuver vs Devil Jin | 0–2 | 0.00% |
| NickKerrLuver vs Leo | 2–0 | 100.00% |
| NickKerrLuver vs Claudio | 1–1 | 50.00% |
| NickKerrLuver vs Leroy | 1–1 | 50.00% |
| NickKerrLuver vs Azucena | 1–1 | 50.00% |
| NickKerrLuver vs Paul | 1–0 | 100.00% |
| NickKerrLuver vs Feng | 0–1 | 0.00% |
| NickKerrLuver vs Kuma | 1–0 | 100.00% |
| NickKerrLuver vs Lidia | 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.