| DontFretBoss vs Jin | 20–18 | 52.63% |
| DontFretBoss vs Kazuya | 18–18 | 50.00% |
| DontFretBoss vs King | 18–17 | 51.43% |
| DontFretBoss vs Bryan | 14–13 | 51.85% |
| DontFretBoss vs Eddy | 14–13 | 51.85% |
| DontFretBoss vs Law | 16–7 | 69.57% |
| DontFretBoss vs Steve | 14–7 | 66.67% |
| DontFretBoss vs Asuka | 14–7 | 66.67% |
| DontFretBoss vs Paul | 17–3 | 85.00% |
| DontFretBoss vs Feng | 12–7 | 63.16% |
| DontFretBoss vs Armor King | 8–9 | 47.06% |
| DontFretBoss vs Lili | 6–10 | 37.50% |
| DontFretBoss vs Dragunov | 7–9 | 43.75% |
| DontFretBoss vs Reina | 7–9 | 43.75% |
| DontFretBoss vs Hwoarang | 9–6 | 60.00% |
| DontFretBoss vs Lars | 9–5 | 64.29% |
| DontFretBoss vs Yoshimitsu | 8–4 | 66.67% |
| DontFretBoss vs Nina | 6–6 | 50.00% |
| DontFretBoss vs Lee | 6–6 | 50.00% |
| DontFretBoss vs Leroy | 7–5 | 58.33% |
| DontFretBoss vs Lidia | 5–7 | 41.67% |
| DontFretBoss vs Heihachi | 7–5 | 58.33% |
| DontFretBoss vs Xiaoyu | 5–6 | 45.45% |
| DontFretBoss vs Azucena | 7–4 | 63.64% |
| DontFretBoss vs Leo | 3–6 | 33.33% |
| DontFretBoss vs Claudio | 4–5 | 44.44% |
| DontFretBoss vs Zafina | 3–5 | 37.50% |
| DontFretBoss vs Anna | 5–3 | 62.50% |
| DontFretBoss vs Victor | 4–3 | 57.14% |
| DontFretBoss vs Clive | 3–4 | 42.86% |
| DontFretBoss vs Devil Jin | 4–2 | 66.67% |
| DontFretBoss vs Fahkumram | 3–3 | 50.00% |
| DontFretBoss vs Jack-8 | 5–0 | 100.00% |
| DontFretBoss vs Shaheen | 3–2 | 60.00% |
| DontFretBoss vs Kuma | 2–2 | 50.00% |
| DontFretBoss vs Jun | 2–2 | 50.00% |
| DontFretBoss vs Raven | 2–0 | 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.