| BruzLghtYear vs Steve | 20–30 | 40.00% |
| BruzLghtYear vs Clive | 19–30 | 38.78% |
| BruzLghtYear vs Bryan | 27–21 | 56.25% |
| BruzLghtYear vs Kazuya | 16–29 | 35.56% |
| BruzLghtYear vs King | 22–15 | 59.46% |
| BruzLghtYear vs Jin | 18–17 | 51.43% |
| BruzLghtYear vs Victor | 14–19 | 42.42% |
| BruzLghtYear vs Jun | 15–16 | 48.39% |
| BruzLghtYear vs Law | 5–23 | 17.86% |
| BruzLghtYear vs Hwoarang | 17–11 | 60.71% |
| BruzLghtYear vs Heihachi | 12–15 | 44.44% |
| BruzLghtYear vs Reina | 16–10 | 61.54% |
| BruzLghtYear vs Asuka | 9–16 | 36.00% |
| BruzLghtYear vs Paul | 11–12 | 47.83% |
| BruzLghtYear vs Dragunov | 11–9 | 55.00% |
| BruzLghtYear vs Leo | 10–7 | 58.82% |
| BruzLghtYear vs Lars | 5–9 | 35.71% |
| BruzLghtYear vs Feng | 2–11 | 15.38% |
| BruzLghtYear vs Alisa | 9–3 | 75.00% |
| BruzLghtYear vs Leroy | 8–4 | 66.67% |
| BruzLghtYear vs Jack-8 | 3–8 | 27.27% |
| BruzLghtYear vs Yoshimitsu | 5–5 | 50.00% |
| BruzLghtYear vs Xiaoyu | 4–6 | 40.00% |
| BruzLghtYear vs Claudio | 0–9 | 0.00% |
| BruzLghtYear vs Shaheen | 4–5 | 44.44% |
| BruzLghtYear vs Panda | 3–5 | 37.50% |
| BruzLghtYear vs Devil Jin | 5–2 | 71.43% |
| BruzLghtYear vs Lili | 5–2 | 71.43% |
| BruzLghtYear vs Lee | 2–3 | 40.00% |
| BruzLghtYear vs Zafina | 2–3 | 40.00% |
| BruzLghtYear vs Eddy | 2–3 | 40.00% |
| BruzLghtYear vs Nina | 1–3 | 25.00% |
| BruzLghtYear vs Azucena | 1–3 | 25.00% |
| BruzLghtYear vs Raven | 0–4 | 0.00% |
| BruzLghtYear vs Kuma | 1–2 | 33.33% |
| BruzLghtYear vs Lidia | 0–2 | 0.00% |
| BruzLghtYear vs Anna | 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.