| Wlkmn vs Hwoarang | 31–17 | 64.58% |
| Wlkmn vs King | 31–8 | 79.49% |
| Wlkmn vs Kazuya | 27–11 | 71.05% |
| Wlkmn vs Jin | 25–8 | 75.76% |
| Wlkmn vs Paul | 22–7 | 75.86% |
| Wlkmn vs Lee | 16–11 | 59.26% |
| Wlkmn vs Bryan | 11–15 | 42.31% |
| Wlkmn vs Steve | 20–6 | 76.92% |
| Wlkmn vs Jack-8 | 12–10 | 54.55% |
| Wlkmn vs Law | 11–9 | 55.00% |
| Wlkmn vs Azucena | 7–11 | 38.89% |
| Wlkmn vs Heihachi | 5–13 | 27.78% |
| Wlkmn vs Devil Jin | 7–10 | 41.18% |
| Wlkmn vs Leo | 10–7 | 58.82% |
| Wlkmn vs Dragunov | 11–5 | 68.75% |
| Wlkmn vs Yoshimitsu | 9–6 | 60.00% |
| Wlkmn vs Reina | 9–6 | 60.00% |
| Wlkmn vs Feng | 9–5 | 64.29% |
| Wlkmn vs Lars | 7–6 | 53.85% |
| Wlkmn vs Fahkumram | 8–5 | 61.54% |
| Wlkmn vs Xiaoyu | 11–1 | 91.67% |
| Wlkmn vs Asuka | 10–2 | 83.33% |
| Wlkmn vs Raven | 8–4 | 66.67% |
| Wlkmn vs Nina | 7–4 | 63.64% |
| Wlkmn vs Jun | 7–4 | 63.64% |
| Wlkmn vs Lidia | 8–3 | 72.73% |
| Wlkmn vs Lili | 7–3 | 70.00% |
| Wlkmn vs Anna | 8–2 | 80.00% |
| Wlkmn vs Clive | 5–4 | 55.56% |
| Wlkmn vs Shaheen | 6–2 | 75.00% |
| Wlkmn vs Alisa | 3–4 | 42.86% |
| Wlkmn vs Kuma | 5–2 | 71.43% |
| Wlkmn vs Zafina | 4–2 | 66.67% |
| Wlkmn vs Leroy | 5–1 | 83.33% |
| Wlkmn vs Claudio | 4–1 | 80.00% |
| Wlkmn vs Victor | 2–2 | 50.00% |
| Wlkmn vs Eddy | 3–1 | 75.00% |
| Wlkmn vs Panda | 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.