| MBA| JOTAKU vs Jin | 31–14 | 68.89% |
| MBA| JOTAKU vs Kazuya | 23–17 | 57.50% |
| MBA| JOTAKU vs King | 18–14 | 56.25% |
| MBA| JOTAKU vs Jun | 19–10 | 65.52% |
| MBA| JOTAKU vs Law | 13–13 | 50.00% |
| MBA| JOTAKU vs Reina | 16–6 | 72.73% |
| MBA| JOTAKU vs Bryan | 6–14 | 30.00% |
| MBA| JOTAKU vs Hwoarang | 7–11 | 38.89% |
| MBA| JOTAKU vs Lili | 11–7 | 61.11% |
| MBA| JOTAKU vs Lee | 10–8 | 55.56% |
| MBA| JOTAKU vs Eddy | 10–8 | 55.56% |
| MBA| JOTAKU vs Lidia | 13–5 | 72.22% |
| MBA| JOTAKU vs Armor King | 6–12 | 33.33% |
| MBA| JOTAKU vs Feng | 4–12 | 25.00% |
| MBA| JOTAKU vs Paul | 11–3 | 78.57% |
| MBA| JOTAKU vs Dragunov | 2–12 | 14.29% |
| MBA| JOTAKU vs Heihachi | 5–8 | 38.46% |
| MBA| JOTAKU vs Clive | 7–5 | 58.33% |
| MBA| JOTAKU vs Devil Jin | 7–4 | 63.64% |
| MBA| JOTAKU vs Lars | 4–7 | 36.36% |
| MBA| JOTAKU vs Azucena | 8–3 | 72.73% |
| MBA| JOTAKU vs Victor | 8–3 | 72.73% |
| MBA| JOTAKU vs Alisa | 4–6 | 40.00% |
| MBA| JOTAKU vs Leroy | 3–6 | 33.33% |
| MBA| JOTAKU vs Xiaoyu | 7–1 | 87.50% |
| MBA| JOTAKU vs Steve | 6–2 | 75.00% |
| MBA| JOTAKU vs Jack-8 | 5–2 | 71.43% |
| MBA| JOTAKU vs Asuka | 5–2 | 71.43% |
| MBA| JOTAKU vs Raven | 4–3 | 57.14% |
| MBA| JOTAKU vs Nina | 3–3 | 50.00% |
| MBA| JOTAKU vs Anna | 2–4 | 33.33% |
| MBA| JOTAKU vs Yoshimitsu | 1–4 | 20.00% |
| MBA| JOTAKU vs Claudio | 0–5 | 0.00% |
| MBA| JOTAKU vs Shaheen | 4–0 | 100.00% |
| MBA| JOTAKU vs Panda | 1–3 | 25.00% |
| MBA| JOTAKU vs Fahkumram | 2–2 | 50.00% |
| MBA| JOTAKU vs Zafina | 1–2 | 33.33% |
| MBA| JOTAKU vs Leo | 1–0 | 100.00% |
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.