| Joo321 vs Bryan | 15–22 | 40.54% |
| Joo321 vs King | 16–19 | 45.71% |
| Joo321 vs Dragunov | 11–23 | 32.35% |
| Joo321 vs Paul | 11–19 | 36.67% |
| Joo321 vs Jin | 12–18 | 40.00% |
| Joo321 vs Kazuya | 13–17 | 43.33% |
| Joo321 vs Armor King | 12–12 | 50.00% |
| Joo321 vs Miary Zo | 10–13 | 43.48% |
| Joo321 vs Asuka | 8–14 | 36.36% |
| Joo321 vs Steve | 9–12 | 42.86% |
| Joo321 vs Reina | 9–12 | 42.86% |
| Joo321 vs Heihachi | 5–15 | 25.00% |
| Joo321 vs Law | 11–8 | 57.89% |
| Joo321 vs Xiaoyu | 8–8 | 50.00% |
| Joo321 vs Yoshimitsu | 4–9 | 30.77% |
| Joo321 vs Devil Jin | 6–7 | 46.15% |
| Joo321 vs Claudio | 7–6 | 53.85% |
| Joo321 vs Victor | 5–8 | 38.46% |
| Joo321 vs Lars | 7–5 | 58.33% |
| Joo321 vs Alisa | 5–7 | 41.67% |
| Joo321 vs Hwoarang | 4–7 | 36.36% |
| Joo321 vs Feng | 6–5 | 54.55% |
| Joo321 vs Lili | 4–6 | 40.00% |
| Joo321 vs Azucena | 5–5 | 50.00% |
| Joo321 vs Eddy | 4–6 | 40.00% |
| Joo321 vs Jun | 3–6 | 33.33% |
| Joo321 vs Anna | 4–5 | 44.44% |
| Joo321 vs Leo | 1–7 | 12.50% |
| Joo321 vs Fahkumram | 3–5 | 37.50% |
| Joo321 vs Jack-8 | 4–2 | 66.67% |
| Joo321 vs Nina | 5–1 | 83.33% |
| Joo321 vs Clive | 5–1 | 83.33% |
| Joo321 vs Shaheen | 0–4 | 0.00% |
| Joo321 vs Lee | 2–2 | 50.00% |
| Joo321 vs Leroy | 2–2 | 50.00% |
| Joo321 vs Raven | 1–3 | 25.00% |
| Joo321 vs Lidia | 2–1 | 66.67% |
| Joo321 vs Zafina | 0–2 | 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.