| SKWEAM vs Law | 17–26 | 39.53% |
| SKWEAM vs Hwoarang | 15–27 | 35.71% |
| SKWEAM vs Jin | 17–21 | 44.74% |
| SKWEAM vs King | 9–22 | 29.03% |
| SKWEAM vs Lili | 14–14 | 50.00% |
| SKWEAM vs Steve | 10–17 | 37.04% |
| SKWEAM vs Nina | 13–13 | 50.00% |
| SKWEAM vs Reina | 12–14 | 46.15% |
| SKWEAM vs Bryan | 9–15 | 37.50% |
| SKWEAM vs Lidia | 13–11 | 54.17% |
| SKWEAM vs Kazuya | 8–15 | 34.78% |
| SKWEAM vs Dragunov | 12–10 | 54.55% |
| SKWEAM vs Lee | 9–11 | 45.00% |
| SKWEAM vs Alisa | 8–11 | 42.11% |
| SKWEAM vs Jun | 8–10 | 44.44% |
| SKWEAM vs Clive | 5–13 | 27.78% |
| SKWEAM vs Paul | 3–14 | 17.65% |
| SKWEAM vs Asuka | 7–7 | 50.00% |
| SKWEAM vs Eddy | 6–7 | 46.15% |
| SKWEAM vs Armor King | 5–8 | 38.46% |
| SKWEAM vs Yoshimitsu | 3–8 | 27.27% |
| SKWEAM vs Xiaoyu | 6–5 | 54.55% |
| SKWEAM vs Victor | 4–7 | 36.36% |
| SKWEAM vs Devil Jin | 1–9 | 10.00% |
| SKWEAM vs Feng | 6–4 | 60.00% |
| SKWEAM vs Leo | 3–7 | 30.00% |
| SKWEAM vs Heihachi | 4–6 | 40.00% |
| SKWEAM vs Lars | 2–7 | 22.22% |
| SKWEAM vs Leroy | 3–6 | 33.33% |
| SKWEAM vs Jack-8 | 1–7 | 12.50% |
| SKWEAM vs Kuma | 1–6 | 14.29% |
| SKWEAM vs Azucena | 2–5 | 28.57% |
| SKWEAM vs Claudio | 0–5 | 0.00% |
| SKWEAM vs Zafina | 1–3 | 25.00% |
| SKWEAM vs Shaheen | 1–1 | 50.00% |
| SKWEAM vs Raven | 0–2 | 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.