| wapaking vs Jin | 59–26 | 69.41% |
| wapaking vs Law | 49–31 | 61.25% |
| wapaking vs Dragunov | 46–23 | 66.67% |
| wapaking vs King | 45–20 | 69.23% |
| wapaking vs Victor | 33–19 | 63.46% |
| wapaking vs Paul | 32–19 | 62.75% |
| wapaking vs Hwoarang | 27–23 | 54.00% |
| wapaking vs Yoshimitsu | 31–16 | 65.96% |
| wapaking vs Bryan | 32–14 | 69.57% |
| wapaking vs Asuka | 20–26 | 43.48% |
| wapaking vs Kazuya | 34–10 | 77.27% |
| wapaking vs Feng | 26–18 | 59.09% |
| wapaking vs Lidia | 23–20 | 53.49% |
| wapaking vs Lars | 34–7 | 82.93% |
| wapaking vs Reina | 29–12 | 70.73% |
| wapaking vs Jun | 23–16 | 58.97% |
| wapaking vs Steve | 30–8 | 78.95% |
| wapaking vs Claudio | 27–11 | 71.05% |
| wapaking vs Eddy | 27–11 | 71.05% |
| wapaking vs Jack-8 | 25–12 | 67.57% |
| wapaking vs Leo | 28–8 | 77.78% |
| wapaking vs Devil Jin | 18–16 | 52.94% |
| wapaking vs Armor King | 22–11 | 66.67% |
| wapaking vs Lili | 23–9 | 71.88% |
| wapaking vs Alisa | 23–9 | 71.88% |
| wapaking vs Nina | 22–8 | 73.33% |
| wapaking vs Azucena | 13–16 | 44.83% |
| wapaking vs Anna | 14–15 | 48.28% |
| wapaking vs Lee | 18–10 | 64.29% |
| wapaking vs Leroy | 16–9 | 64.00% |
| wapaking vs Xiaoyu | 18–5 | 78.26% |
| wapaking vs Zafina | 18–5 | 78.26% |
| wapaking vs Miary Zo | 11–11 | 50.00% |
| wapaking vs Raven | 12–7 | 63.16% |
| wapaking vs Heihachi | 6–13 | 31.58% |
| wapaking vs Fahkumram | 11–5 | 68.75% |
| wapaking vs Shaheen | 10–4 | 71.43% |
| wapaking vs Kuma | 11–1 | 91.67% |
| wapaking vs Clive | 5–7 | 41.67% |
| wapaking vs Panda | 8–3 | 72.73% |
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.