| givup vs Bryan | 17–22 | 43.59% |
| givup vs Steve | 26–13 | 66.67% |
| givup vs King | 21–15 | 58.33% |
| givup vs Azucena | 21–13 | 61.76% |
| givup vs Kazuya | 17–16 | 51.52% |
| givup vs Jin | 16–15 | 51.61% |
| givup vs Lili | 13–18 | 41.94% |
| givup vs Reina | 17–11 | 60.71% |
| givup vs Law | 11–16 | 40.74% |
| givup vs Paul | 13–11 | 54.17% |
| givup vs Dragunov | 9–10 | 47.37% |
| givup vs Victor | 7–12 | 36.84% |
| givup vs Nina | 10–8 | 55.56% |
| givup vs Fahkumram | 11–7 | 61.11% |
| givup vs Kuma | 6–11 | 35.29% |
| givup vs Jun | 6–11 | 35.29% |
| givup vs Hwoarang | 8–8 | 50.00% |
| givup vs Yoshimitsu | 8–7 | 53.33% |
| givup vs Lars | 8–5 | 61.54% |
| givup vs Alisa | 4–9 | 30.77% |
| givup vs Raven | 9–4 | 69.23% |
| givup vs Asuka | 6–6 | 50.00% |
| givup vs Devil Jin | 5–7 | 41.67% |
| givup vs Heihachi | 7–5 | 58.33% |
| givup vs Leo | 6–5 | 54.55% |
| givup vs Eddy | 5–6 | 45.45% |
| givup vs Lidia | 5–5 | 50.00% |
| givup vs Xiaoyu | 0–8 | 0.00% |
| givup vs Leroy | 6–2 | 75.00% |
| givup vs Shaheen | 4–2 | 66.67% |
| givup vs Lee | 6–0 | 100.00% |
| givup vs Feng | 0–4 | 0.00% |
| givup vs Claudio | 4–0 | 100.00% |
| givup vs Panda | 1–2 | 33.33% |
| givup vs Clive | 2–1 | 66.67% |
| givup vs Anna | 2–0 | 100.00% |
| givup vs Armor King | 2–0 | 100.00% |
| givup vs Jack-8 | 0–1 | 0.00% |
| givup vs Zafina | 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.