| Woo JJang vs Paul | 25–24 | 51.02% |
| Woo JJang vs King | 21–20 | 51.22% |
| Woo JJang vs Hwoarang | 30–10 | 75.00% |
| Woo JJang vs Eddy | 23–12 | 65.71% |
| Woo JJang vs Dragunov | 13–21 | 38.24% |
| Woo JJang vs Bryan | 24–8 | 75.00% |
| Woo JJang vs Feng | 18–14 | 56.25% |
| Woo JJang vs Reina | 14–12 | 53.85% |
| Woo JJang vs Jin | 14–11 | 56.00% |
| Woo JJang vs Kazuya | 12–12 | 50.00% |
| Woo JJang vs Asuka | 18–5 | 78.26% |
| Woo JJang vs Claudio | 13–9 | 59.09% |
| Woo JJang vs Armor King | 10–11 | 47.62% |
| Woo JJang vs Steve | 13–6 | 68.42% |
| Woo JJang vs Jack-8 | 9–9 | 50.00% |
| Woo JJang vs Lili | 12–6 | 66.67% |
| Woo JJang vs Azucena | 8–10 | 44.44% |
| Woo JJang vs Yoshimitsu | 11–6 | 64.71% |
| Woo JJang vs Alisa | 8–8 | 50.00% |
| Woo JJang vs Jun | 7–8 | 46.67% |
| Woo JJang vs Clive | 9–5 | 64.29% |
| Woo JJang vs Lars | 10–3 | 76.92% |
| Woo JJang vs Victor | 7–6 | 53.85% |
| Woo JJang vs Shaheen | 8–4 | 66.67% |
| Woo JJang vs Nina | 4–7 | 36.36% |
| Woo JJang vs Zafina | 8–3 | 72.73% |
| Woo JJang vs Lidia | 4–6 | 40.00% |
| Woo JJang vs Kuma | 3–5 | 37.50% |
| Woo JJang vs Heihachi | 7–1 | 87.50% |
| Woo JJang vs Xiaoyu | 5–2 | 71.43% |
| Woo JJang vs Lee | 5–2 | 71.43% |
| Woo JJang vs Fahkumram | 4–3 | 57.14% |
| Woo JJang vs Law | 5–1 | 83.33% |
| Woo JJang vs Devil Jin | 6–0 | 100.00% |
| Woo JJang vs Leroy | 4–2 | 66.67% |
| Woo JJang vs Leo | 2–3 | 40.00% |
| Woo JJang vs Raven | 4–1 | 80.00% |
| Woo JJang vs Panda | 1–1 | 50.00% |
| Woo JJang vs Anna | 0–1 | 0.00% |
| Woo JJang 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.