| steamgames vs King | 28–33 | 45.90% |
| steamgames vs Dragunov | 40–20 | 66.67% |
| steamgames vs Jin | 37–17 | 68.52% |
| steamgames vs Hwoarang | 28–25 | 52.83% |
| steamgames vs Kazuya | 20–33 | 37.74% |
| steamgames vs Paul | 23–21 | 52.27% |
| steamgames vs Yoshimitsu | 17–27 | 38.64% |
| steamgames vs Bryan | 28–12 | 70.00% |
| steamgames vs Reina | 18–19 | 48.65% |
| steamgames vs Lili | 20–14 | 58.82% |
| steamgames vs Steve | 17–16 | 51.52% |
| steamgames vs Heihachi | 17–15 | 53.12% |
| steamgames vs Lee | 10–20 | 33.33% |
| steamgames vs Law | 15–14 | 51.72% |
| steamgames vs Xiaoyu | 13–13 | 50.00% |
| steamgames vs Anna | 11–15 | 42.31% |
| steamgames vs Fahkumram | 12–11 | 52.17% |
| steamgames vs Jun | 10–11 | 47.62% |
| steamgames vs Lidia | 12–9 | 57.14% |
| steamgames vs Leo | 7–9 | 43.75% |
| steamgames vs Feng | 4–10 | 28.57% |
| steamgames vs Jack-8 | 5–8 | 38.46% |
| steamgames vs Nina | 4–9 | 30.77% |
| steamgames vs Devil Jin | 1–11 | 8.33% |
| steamgames vs Alisa | 7–5 | 58.33% |
| steamgames vs Eddy | 10–2 | 83.33% |
| steamgames vs Kuma | 5–6 | 45.45% |
| steamgames vs Azucena | 7–4 | 63.64% |
| steamgames vs Leroy | 5–4 | 55.56% |
| steamgames vs Victor | 1–8 | 11.11% |
| steamgames vs Raven | 6–3 | 66.67% |
| steamgames vs Asuka | 5–3 | 62.50% |
| steamgames vs Claudio | 6–2 | 75.00% |
| steamgames vs Armor King | 3–5 | 37.50% |
| steamgames vs Panda | 2–5 | 28.57% |
| steamgames vs Lars | 4–2 | 66.67% |
| steamgames vs Shaheen | 4–2 | 66.67% |
| steamgames vs Zafina | 2–3 | 40.00% |
| steamgames vs Clive | 1–4 | 20.00% |
| steamgames vs Miary Zo | 1–2 | 33.33% |
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.