| swag vs Jin | 50–36 | 58.14% |
| swag vs Kazuya | 23–41 | 35.94% |
| swag vs Bryan | 27–33 | 45.00% |
| swag vs Reina | 32–22–1 | 59.26% |
| swag vs Steve | 26–20 | 56.52% |
| swag vs Dragunov | 18–19 | 48.65% |
| swag vs Victor | 24–9 | 72.73% |
| swag vs Law | 18–11 | 62.07% |
| swag vs Jun | 21–7 | 75.00% |
| swag vs Xiaoyu | 19–8 | 70.37% |
| swag vs King | 10–16 | 38.46% |
| swag vs Lili | 10–14 | 41.67% |
| swag vs Asuka | 13–10 | 56.52% |
| swag vs Eddy | 11–12 | 47.83% |
| swag vs Clive | 12–10 | 54.55% |
| swag vs Devil Jin | 8–12 | 40.00% |
| swag vs Yoshimitsu | 12–7 | 63.16% |
| swag vs Alisa | 12–7 | 63.16% |
| swag vs Hwoarang | 10–8 | 55.56% |
| swag vs Jack-8 | 8–8 | 50.00% |
| swag vs Heihachi | 6–9 | 40.00% |
| swag vs Paul | 5–9 | 35.71% |
| swag vs Kuma | 10–4 | 71.43% |
| swag vs Lidia | 9–5 | 64.29% |
| swag vs Lee | 5–8 | 38.46% |
| swag vs Azucena | 4–9 | 30.77% |
| swag vs Leo | 3–7 | 30.00% |
| swag vs Lars | 1–9 | 10.00% |
| swag vs Armor King | 2–7 | 22.22% |
| swag vs Nina | 3–5 | 37.50% |
| swag vs Raven | 2–5 | 28.57% |
| swag vs Leroy | 4–2 | 66.67% |
| swag vs Miary Zo | 2–3 | 40.00% |
| swag vs Feng | 1–3 | 25.00% |
| swag vs Anna | 2–2 | 50.00% |
| swag vs Zafina | 1–2 | 33.33% |
| swag vs Shaheen | 0–2 | 0.00% |
| swag vs Panda | 0–2 | 0.00% |
| swag vs Claudio | 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.