| WakGuDaeJang vs Kazuya | 29–12 | 70.73% |
| WakGuDaeJang vs Jin | 23–13 | 63.89% |
| WakGuDaeJang vs Hwoarang | 23–11 | 67.65% |
| WakGuDaeJang vs Reina | 21–12 | 63.64% |
| WakGuDaeJang vs Paul | 16–13 | 55.17% |
| WakGuDaeJang vs Asuka | 15–14 | 51.72% |
| WakGuDaeJang vs King | 10–15 | 40.00% |
| WakGuDaeJang vs Dragunov | 8–13 | 38.10% |
| WakGuDaeJang vs Bryan | 9–11 | 45.00% |
| WakGuDaeJang vs Steve | 12–8 | 60.00% |
| WakGuDaeJang vs Jun | 9–10 | 47.37% |
| WakGuDaeJang vs Victor | 14–4 | 77.78% |
| WakGuDaeJang vs Lili | 9–7 | 56.25% |
| WakGuDaeJang vs Alisa | 4–9 | 30.77% |
| WakGuDaeJang vs Jack-8 | 8–4 | 66.67% |
| WakGuDaeJang vs Law | 5–5 | 50.00% |
| WakGuDaeJang vs Eddy | 5–5 | 50.00% |
| WakGuDaeJang vs Devil Jin | 3–5 | 37.50% |
| WakGuDaeJang vs Lars | 3–5 | 37.50% |
| WakGuDaeJang vs Lee | 4–4 | 50.00% |
| WakGuDaeJang vs Kuma | 3–4 | 42.86% |
| WakGuDaeJang vs Azucena | 5–2 | 71.43% |
| WakGuDaeJang vs Heihachi | 3–4 | 42.86% |
| WakGuDaeJang vs Claudio | 1–5 | 16.67% |
| WakGuDaeJang vs Shaheen | 3–3 | 50.00% |
| WakGuDaeJang vs Yoshimitsu | 4–1 | 80.00% |
| WakGuDaeJang vs Xiaoyu | 3–1 | 75.00% |
| WakGuDaeJang vs Nina | 2–2 | 50.00% |
| WakGuDaeJang vs Armor King | 2–2 | 50.00% |
| WakGuDaeJang vs Panda | 1–2 | 33.33% |
| WakGuDaeJang vs Leroy | 3–0 | 100.00% |
| WakGuDaeJang vs Lidia | 3–0 | 100.00% |
| WakGuDaeJang vs Clive | 1–2 | 33.33% |
| WakGuDaeJang vs Feng | 0–2 | 0.00% |
| WakGuDaeJang vs Anna | 0–2 | 0.00% |
| WakGuDaeJang vs Leo | 0–1 | 0.00% |
| WakGuDaeJang vs Miary Zo | 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.