| Swerv_Szn24 vs King | 51–30 | 62.96% |
| Swerv_Szn24 vs Reina | 47–28 | 62.67% |
| Swerv_Szn24 vs Kazuya | 35–30 | 53.85% |
| Swerv_Szn24 vs Steve | 44–21 | 67.69% |
| Swerv_Szn24 vs Heihachi | 37–24 | 60.66% |
| Swerv_Szn24 vs Fahkumram | 33–24 | 57.89% |
| Swerv_Szn24 vs Hwoarang | 30–24 | 55.56% |
| Swerv_Szn24 vs Jin | 29–22 | 56.86% |
| Swerv_Szn24 vs Lili | 29–22 | 56.86% |
| Swerv_Szn24 vs Law | 27–22 | 55.10% |
| Swerv_Szn24 vs Azucena | 24–21 | 53.33% |
| Swerv_Szn24 vs Jun | 23–19 | 54.76% |
| Swerv_Szn24 vs Bryan | 19–21 | 47.50% |
| Swerv_Szn24 vs Asuka | 17–20 | 45.95% |
| Swerv_Szn24 vs Lidia | 14–19 | 42.42% |
| Swerv_Szn24 vs Lars | 17–15 | 53.12% |
| Swerv_Szn24 vs Eddy | 15–17 | 46.88% |
| Swerv_Szn24 vs Yoshimitsu | 22–8 | 73.33% |
| Swerv_Szn24 vs Devil Jin | 12–17 | 41.38% |
| Swerv_Szn24 vs Clive | 14–15 | 48.28% |
| Swerv_Szn24 vs Leroy | 17–10 | 62.96% |
| Swerv_Szn24 vs Anna | 18–9 | 66.67% |
| Swerv_Szn24 vs Victor | 19–7 | 73.08% |
| Swerv_Szn24 vs Xiaoyu | 18–7 | 72.00% |
| Swerv_Szn24 vs Feng | 8–17 | 32.00% |
| Swerv_Szn24 vs Dragunov | 14–10 | 58.33% |
| Swerv_Szn24 vs Claudio | 13–10 | 56.52% |
| Swerv_Szn24 vs Paul | 9–11 | 45.00% |
| Swerv_Szn24 vs Raven | 7–11 | 38.89% |
| Swerv_Szn24 vs Lee | 8–8 | 50.00% |
| Swerv_Szn24 vs Alisa | 9–4 | 69.23% |
| Swerv_Szn24 vs Nina | 10–3 | 76.92% |
| Swerv_Szn24 vs Kuma | 6–7 | 46.15% |
| Swerv_Szn24 vs Leo | 8–4 | 66.67% |
| Swerv_Szn24 vs Jack-8 | 4–7 | 36.36% |
| Swerv_Szn24 vs Shaheen | 7–3 | 70.00% |
| Swerv_Szn24 vs Armor King | 4–3 | 57.14% |
| Swerv_Szn24 vs Zafina | 4–1 | 80.00% |
| Swerv_Szn24 vs Panda | 1–0 | 100.00% |
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.