40minsNoLab vs Kazuya | 29–18 | 61.70% |
40minsNoLab vs Reina | 29–13 | 69.05% |
40minsNoLab vs Lidia | 26–14 | 65.00% |
40minsNoLab vs Heihachi | 21–18 | 53.85% |
40minsNoLab vs Steve | 19–12 | 61.29% |
40minsNoLab vs Devil Jin | 24–6 | 80.00% |
40minsNoLab vs Yoshimitsu | 15–13 | 53.57% |
40minsNoLab vs Jun | 16–11 | 59.26% |
40minsNoLab vs Asuka | 13–13 | 50.00% |
40minsNoLab vs King | 15–9 | 62.50% |
40minsNoLab vs Jin | 13–11 | 54.17% |
40minsNoLab vs Dragunov | 13–10 | 56.52% |
40minsNoLab vs Paul | 10–11 | 47.62% |
40minsNoLab vs Claudio | 16–4 | 80.00% |
40minsNoLab vs Bryan | 9–9 | 50.00% |
40minsNoLab vs Nina | 10–8 | 55.56% |
40minsNoLab vs Lili | 12–5 | 70.59% |
40minsNoLab vs Law | 9–7 | 56.25% |
40minsNoLab vs Hwoarang | 6–9 | 40.00% |
40minsNoLab vs Lars | 8–5 | 61.54% |
40minsNoLab vs Lee | 7–6 | 53.85% |
40minsNoLab vs Alisa | 7–5 | 58.33% |
40minsNoLab vs Xiaoyu | 6–3 | 66.67% |
40minsNoLab vs Shaheen | 4–5 | 44.44% |
40minsNoLab vs Azucena | 4–5 | 44.44% |
40minsNoLab vs Victor | 5–4 | 55.56% |
40minsNoLab vs Leo | 5–3 | 62.50% |
40minsNoLab vs Eddy | 3–5 | 37.50% |
40minsNoLab vs Jack-8 | 5–2 | 71.43% |
40minsNoLab vs Leroy | 5–2 | 71.43% |
40minsNoLab vs Kuma | 4–2 | 66.67% |
40minsNoLab vs Zafina | 5–1 | 83.33% |
40minsNoLab vs Panda | 2–3 | 40.00% |
40minsNoLab vs Raven | 2–3 | 40.00% |
40minsNoLab vs Feng | 4–0 | 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.