| Dswift01 vs Eddy | 12–44 | 21.43% |
| Dswift01 vs Hwoarang | 15–33 | 31.25% |
| Dswift01 vs King | 17–29 | 36.96% |
| Dswift01 vs Law | 13–26 | 33.33% |
| Dswift01 vs Jin | 8–30 | 21.05% |
| Dswift01 vs Reina | 17–20 | 45.95% |
| Dswift01 vs Azucena | 12–23 | 34.29% |
| Dswift01 vs Dragunov | 12–19 | 38.71% |
| Dswift01 vs Steve | 10–17 | 37.04% |
| Dswift01 vs Asuka | 16–10 | 61.54% |
| Dswift01 vs Yoshimitsu | 7–18 | 28.00% |
| Dswift01 vs Bryan | 10–15 | 40.00% |
| Dswift01 vs Lili | 10–15 | 40.00% |
| Dswift01 vs Victor | 7–17 | 29.17% |
| Dswift01 vs Devil Jin | 8–14 | 36.36% |
| Dswift01 vs Feng | 6–13 | 31.58% |
| Dswift01 vs Leroy | 11–8 | 57.89% |
| Dswift01 vs Kazuya | 1–17 | 5.56% |
| Dswift01 vs Raven | 11–7 | 61.11% |
| Dswift01 vs Leo | 5–12 | 29.41% |
| Dswift01 vs Jun | 6–11 | 35.29% |
| Dswift01 vs Lars | 2–14 | 12.50% |
| Dswift01 vs Kuma | 5–10 | 33.33% |
| Dswift01 vs Paul | 4–9 | 30.77% |
| Dswift01 vs Xiaoyu | 5–8 | 38.46% |
| Dswift01 vs Nina | 3–9 | 25.00% |
| Dswift01 vs Lee | 5–6 | 45.45% |
| Dswift01 vs Alisa | 3–7 | 30.00% |
| Dswift01 vs Zafina | 4–6 | 40.00% |
| Dswift01 vs Clive | 6–4 | 60.00% |
| Dswift01 vs Jack-8 | 5–4 | 55.56% |
| Dswift01 vs Lidia | 3–5 | 37.50% |
| Dswift01 vs Shaheen | 0–2 | 0.00% |
| Dswift01 vs Anna | 2–0 | 100.00% |
| Dswift01 vs Claudio | 0–1 | 0.00% |
| Dswift01 vs Panda | 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.