GK泉森選手来てくれてあーがと vs Heihachi | 47–50 | 48.45% |
GK泉森選手来てくれてあーがと vs Clive | 42–42 | 50.00% |
GK泉森選手来てくれてあーがと vs Kazuya | 41–20 | 67.21% |
GK泉森選手来てくれてあーがと vs Jin | 29–21 | 58.00% |
GK泉森選手来てくれてあーがと vs Dragunov | 24–24 | 50.00% |
GK泉森選手来てくれてあーがと vs Paul | 28–19 | 59.57% |
GK泉森選手来てくれてあーがと vs Reina | 35–11 | 76.09% |
GK泉森選手来てくれてあーがと vs King | 24–17 | 58.54% |
GK泉森選手来てくれてあーがと vs Bryan | 28–13 | 68.29% |
GK泉森選手来てくれてあーがと vs Law | 22–9–1 | 70.97% |
GK泉森選手来てくれてあーがと vs Asuka | 21–11 | 65.62% |
GK泉森選手来てくれてあーがと vs Lili | 23–7 | 76.67% |
GK泉森選手来てくれてあーがと vs Lidia | 17–13 | 56.67% |
GK泉森選手来てくれてあーがと vs Azucena | 14–13 | 51.85% |
GK泉森選手来てくれてあーがと vs Nina | 14–10 | 58.33% |
GK泉森選手来てくれてあーがと vs Jun | 15–8 | 65.22% |
GK泉森選手来てくれてあーがと vs Xiaoyu | 17–5 | 77.27% |
GK泉森選手来てくれてあーがと vs Yoshimitsu | 16–5 | 76.19% |
GK泉森選手来てくれてあーがと vs Hwoarang | 17–4 | 80.95% |
GK泉森選手来てくれてあーがと vs Victor | 9–10 | 47.37% |
GK泉森選手来てくれてあーがと vs Devil Jin | 7–10 | 41.18% |
GK泉森選手来てくれてあーがと vs Lars | 8–9 | 47.06% |
GK泉森選手来てくれてあーがと vs Alisa | 12–4 | 75.00% |
GK泉森選手来てくれてあーがと vs Claudio | 12–3 | 80.00% |
GK泉森選手来てくれてあーがと vs Steve | 7–7 | 50.00% |
GK泉森選手来てくれてあーがと vs Raven | 6–8 | 42.86% |
GK泉森選手来てくれてあーがと vs Zafina | 8–5 | 61.54% |
GK泉森選手来てくれてあーがと vs Leo | 8–4 | 66.67% |
GK泉森選手来てくれてあーがと vs Lee | 5–6 | 45.45% |
GK泉森選手来てくれてあーがと vs Jack-8 | 4–6 | 40.00% |
GK泉森選手来てくれてあーがと vs Feng | 5–4 | 55.56% |
GK泉森選手来てくれてあーがと vs Leroy | 5–3 | 62.50% |
GK泉森選手来てくれてあーがと vs Eddy | 3–4 | 42.86% |
GK泉森選手来てくれてあーがと vs Panda | 3–3 | 50.00% |
GK泉森選手来てくれてあーがと vs Shaheen | 1–3 | 25.00% |
GK泉森選手来てくれてあーがと vs Kuma | 3–1 | 75.00% |
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.