| @WoolongMagal vs Kazuya | 57–68 | 45.60% |
| @WoolongMagal vs Jin | 63–58 | 52.07% |
| @WoolongMagal vs King | 50–33 | 60.24% |
| @WoolongMagal vs Bryan | 35–42 | 45.45% |
| @WoolongMagal vs Heihachi | 39–33 | 54.17% |
| @WoolongMagal vs Asuka | 44–25 | 63.77% |
| @WoolongMagal vs Dragunov | 39–30 | 56.52% |
| @WoolongMagal vs Hwoarang | 32–32 | 50.00% |
| @WoolongMagal vs Law | 39–24 | 61.90% |
| @WoolongMagal vs Steve | 26–35 | 42.62% |
| @WoolongMagal vs Eddy | 30–23 | 56.60% |
| @WoolongMagal vs Fahkumram | 26–26 | 50.00% |
| @WoolongMagal vs Lee | 20–31 | 39.22% |
| @WoolongMagal vs Lili | 25–20 | 55.56% |
| @WoolongMagal vs Devil Jin | 22–19 | 53.66% |
| @WoolongMagal vs Reina | 20–21 | 48.78% |
| @WoolongMagal vs Anna | 20–15 | 57.14% |
| @WoolongMagal vs Paul | 18–16 | 52.94% |
| @WoolongMagal vs Yoshimitsu | 18–16 | 52.94% |
| @WoolongMagal vs Armor King | 17–17 | 50.00% |
| @WoolongMagal vs Azucena | 21–12 | 63.64% |
| @WoolongMagal vs Lidia | 10–23 | 30.30% |
| @WoolongMagal vs Leo | 18–14 | 56.25% |
| @WoolongMagal vs Nina | 19–13 | 59.38% |
| @WoolongMagal vs Xiaoyu | 16–11 | 59.26% |
| @WoolongMagal vs Lars | 18–9 | 66.67% |
| @WoolongMagal vs Jack-8 | 12–13 | 48.00% |
| @WoolongMagal vs Victor | 14–9 | 60.87% |
| @WoolongMagal vs Clive | 13–9 | 59.09% |
| @WoolongMagal vs Feng | 14–7 | 66.67% |
| @WoolongMagal vs Jun | 14–7 | 66.67% |
| @WoolongMagal vs Leroy | 8–9 | 47.06% |
| @WoolongMagal vs Claudio | 4–10 | 28.57% |
| @WoolongMagal vs Raven | 6–7 | 46.15% |
| @WoolongMagal vs Alisa | 9–1 | 90.00% |
| @WoolongMagal vs Shaheen | 2–8 | 20.00% |
| @WoolongMagal vs Kuma | 2–7 | 22.22% |
| @WoolongMagal vs Zafina | 5–4 | 55.56% |
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.