| wsss vs Kazuya | 27–28 | 49.09% |
| wsss vs Steve | 27–22 | 55.10% |
| wsss vs Jin | 22–26 | 45.83% |
| wsss vs Bryan | 19–28 | 40.43% |
| wsss vs Reina | 23–24 | 48.94% |
| wsss vs King | 19–26 | 42.22% |
| wsss vs Dragunov | 21–24 | 46.67% |
| wsss vs Yoshimitsu | 20–24 | 45.45% |
| wsss vs Hwoarang | 17–24 | 41.46% |
| wsss vs Lili | 17–22 | 43.59% |
| wsss vs Law | 13–23 | 36.11% |
| wsss vs Jun | 13–23 | 36.11% |
| wsss vs Azucena | 12–21 | 36.36% |
| wsss vs Eddy | 5–27 | 15.62% |
| wsss vs Devil Jin | 9–20 | 31.03% |
| wsss vs Asuka | 10–13 | 43.48% |
| wsss vs Victor | 12–9 | 57.14% |
| wsss vs Paul | 7–12 | 36.84% |
| wsss vs Lars | 5–12 | 29.41% |
| wsss vs Alisa | 6–8 | 42.86% |
| wsss vs Feng | 4–9 | 30.77% |
| wsss vs Xiaoyu | 6–5 | 54.55% |
| wsss vs Nina | 5–6 | 45.45% |
| wsss vs Lee | 4–7 | 36.36% |
| wsss vs Raven | 3–6 | 33.33% |
| wsss vs Claudio | 5–3 | 62.50% |
| wsss vs Jack-8 | 3–4 | 42.86% |
| wsss vs Leo | 6–1 | 85.71% |
| wsss vs Kuma | 3–4 | 42.86% |
| wsss vs Leroy | 3–3 | 50.00% |
| wsss vs Anna | 3–1 | 75.00% |
| wsss vs Armor King | 2–2 | 50.00% |
| wsss vs Miary Zo | 1–3 | 25.00% |
| wsss vs Shaheen | 2–1 | 66.67% |
| wsss vs Panda | 1–2 | 33.33% |
| wsss vs Clive | 1–2 | 33.33% |
| wsss vs Zafina | 2–0 | 100.00% |
| wsss vs Lidia | 2–0 | 100.00% |
| wsss vs Fahkumram | 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.