| broke_52 vs Kazuya | 35–13 | 72.92% |
| broke_52 vs Jin | 21–18 | 53.85% |
| broke_52 vs King | 20–18 | 52.63% |
| broke_52 vs Law | 21–14 | 60.00% |
| broke_52 vs Paul | 18–12 | 60.00% |
| broke_52 vs Reina | 19–9 | 67.86% |
| broke_52 vs Yoshimitsu | 13–12 | 52.00% |
| broke_52 vs Devil Jin | 14–8 | 63.64% |
| broke_52 vs Hwoarang | 11–10 | 52.38% |
| broke_52 vs Bryan | 10–11 | 47.62% |
| broke_52 vs Heihachi | 14–7 | 66.67% |
| broke_52 vs Lee | 14–5 | 73.68% |
| broke_52 vs Feng | 6–10 | 37.50% |
| broke_52 vs Dragunov | 10–6 | 62.50% |
| broke_52 vs Lars | 6–9 | 40.00% |
| broke_52 vs Claudio | 6–9 | 40.00% |
| broke_52 vs Jun | 9–6 | 60.00% |
| broke_52 vs Victor | 10–5 | 66.67% |
| broke_52 vs Xiaoyu | 6–8 | 42.86% |
| broke_52 vs Steve | 11–3 | 78.57% |
| broke_52 vs Asuka | 4–8 | 33.33% |
| broke_52 vs Zafina | 2–7 | 22.22% |
| broke_52 vs Azucena | 0–9 | 0.00% |
| broke_52 vs Leo | 5–3 | 62.50% |
| broke_52 vs Shaheen | 5–3 | 62.50% |
| broke_52 vs Nina | 3–5 | 37.50% |
| broke_52 vs Raven | 4–3 | 57.14% |
| broke_52 vs Clive | 2–5 | 28.57% |
| broke_52 vs Jack-8 | 5–1 | 83.33% |
| broke_52 vs Alisa | 3–3 | 50.00% |
| broke_52 vs Leroy | 4–2 | 66.67% |
| broke_52 vs Lidia | 5–1 | 83.33% |
| broke_52 vs Lili | 0–4 | 0.00% |
| broke_52 vs Kuma | 0–3 | 0.00% |
| broke_52 vs Eddy | 1–2 | 33.33% |
| broke_52 vs Panda | 0–2 | 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.