| DANGER vs King | 18–32 | 36.00% |
| DANGER vs Kazuya | 18–24 | 42.86% |
| DANGER vs Jin | 16–21 | 43.24% |
| DANGER vs Reina | 10–20 | 33.33% |
| DANGER vs Bryan | 15–14 | 51.72% |
| DANGER vs Dragunov | 8–18 | 30.77% |
| DANGER vs Steve | 6–18 | 25.00% |
| DANGER vs Victor | 13–11 | 54.17% |
| DANGER vs Yoshimitsu | 8–15 | 34.78% |
| DANGER vs Law | 10–12 | 45.45% |
| DANGER vs Eddy | 9–12 | 42.86% |
| DANGER vs Heihachi | 9–12 | 42.86% |
| DANGER vs Hwoarang | 7–13 | 35.00% |
| DANGER vs Devil Jin | 4–13 | 23.53% |
| DANGER vs Kuma | 4–11 | 26.67% |
| DANGER vs Azucena | 5–10 | 33.33% |
| DANGER vs Lili | 4–8 | 33.33% |
| DANGER vs Lee | 5–7 | 41.67% |
| DANGER vs Claudio | 4–7 | 36.36% |
| DANGER vs Paul | 3–6 | 33.33% |
| DANGER vs Asuka | 8–1 | 88.89% |
| DANGER vs Armor King | 5–4 | 55.56% |
| DANGER vs Jun | 4–4 | 50.00% |
| DANGER vs Anna | 3–5 | 37.50% |
| DANGER vs Jack-8 | 3–4 | 42.86% |
| DANGER vs Lars | 6–1 | 85.71% |
| DANGER vs Alisa | 3–3 | 50.00% |
| DANGER vs Clive | 2–4 | 33.33% |
| DANGER vs Xiaoyu | 3–2 | 60.00% |
| DANGER vs Nina | 2–3 | 40.00% |
| DANGER vs Leo | 1–3 | 25.00% |
| DANGER vs Shaheen | 2–2 | 50.00% |
| DANGER vs Panda | 2–2 | 50.00% |
| DANGER vs Fahkumram | 0–4 | 0.00% |
| DANGER vs Leroy | 3–0 | 100.00% |
| DANGER vs Feng | 2–0 | 100.00% |
| DANGER vs Lidia | 0–2 | 0.00% |
| DANGER vs Raven | 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.