| danpalser vs Jin | 89–88 | 50.28% |
| danpalser vs Kazuya | 66–83 | 44.30% |
| danpalser vs King | 57–76 | 42.86% |
| danpalser vs Hwoarang | 50–70 | 41.67% |
| danpalser vs Steve | 40–67 | 37.38% |
| danpalser vs Law | 44–58 | 43.14% |
| danpalser vs Heihachi | 39–58 | 40.21% |
| danpalser vs Bryan | 31–53 | 36.90% |
| danpalser vs Eddy | 32–42 | 43.24% |
| danpalser vs Jun | 39–32 | 54.93% |
| danpalser vs Lili | 28–37 | 43.08% |
| danpalser vs Reina | 27–38 | 41.54% |
| danpalser vs Victor | 23–30 | 43.40% |
| danpalser vs Azucena | 29–22 | 56.86% |
| danpalser vs Paul | 16–29 | 35.56% |
| danpalser vs Yoshimitsu | 15–29 | 34.09% |
| danpalser vs Xiaoyu | 24–16 | 60.00% |
| danpalser vs Nina | 17–22 | 43.59% |
| danpalser vs Dragunov | 10–28 | 26.32% |
| danpalser vs Devil Jin | 11–26 | 29.73% |
| danpalser vs Asuka | 11–25 | 30.56% |
| danpalser vs Feng | 13–22 | 37.14% |
| danpalser vs Alisa | 15–16 | 48.39% |
| danpalser vs Claudio | 16–15 | 51.61% |
| danpalser vs Clive | 16–15 | 51.61% |
| danpalser vs Jack-8 | 7–15 | 31.82% |
| danpalser vs Lidia | 11–11 | 50.00% |
| danpalser vs Leo | 10–10 | 50.00% |
| danpalser vs Lars | 5–15 | 25.00% |
| danpalser vs Leroy | 6–13 | 31.58% |
| danpalser vs Lee | 7–11 | 38.89% |
| danpalser vs Anna | 10–5 | 66.67% |
| danpalser vs Kuma | 3–8 | 27.27% |
| danpalser vs Fahkumram | 6–4 | 60.00% |
| danpalser vs Shaheen | 4–4 | 50.00% |
| danpalser vs Panda | 2–4 | 33.33% |
| danpalser vs Zafina | 3–3 | 50.00% |
| danpalser vs Raven | 0–5 | 0.00% |
| danpalser vs Armor King | 1–3 | 25.00% |
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.