| Mindjoy vs Fahkumram | 35–20 | 63.64% |
| Mindjoy vs Kazuya | 31–11 | 73.81% |
| Mindjoy vs Bryan | 10–6 | 62.50% |
| Mindjoy vs Jin | 11–4 | 73.33% |
| Mindjoy vs Heihachi | 8–7 | 53.33% |
| Mindjoy vs Paul | 11–3 | 78.57% |
| Mindjoy vs King | 10–2 | 83.33% |
| Mindjoy vs Yoshimitsu | 9–3 | 75.00% |
| Mindjoy vs Dragunov | 12–0 | 100.00% |
| Mindjoy vs Hwoarang | 11–0 | 100.00% |
| Mindjoy vs Lili | 8–2 | 80.00% |
| Mindjoy vs Reina | 7–3 | 70.00% |
| Mindjoy vs Armor King | 9–1 | 90.00% |
| Mindjoy vs Steve | 8–0 | 100.00% |
| Mindjoy vs Lee | 3–5 | 37.50% |
| Mindjoy vs Leroy | 4–3 | 57.14% |
| Mindjoy vs Anna | 7–0 | 100.00% |
| Mindjoy vs Devil Jin | 2–4 | 33.33% |
| Mindjoy vs Lars | 5–1 | 83.33% |
| Mindjoy vs Clive | 5–1 | 83.33% |
| Mindjoy vs Law | 2–3 | 40.00% |
| Mindjoy vs Xiaoyu | 5–0 | 100.00% |
| Mindjoy vs Asuka | 5–0 | 100.00% |
| Mindjoy vs Feng | 4–1 | 80.00% |
| Mindjoy vs Leo | 4–1 | 80.00% |
| Mindjoy vs Eddy | 4–1 | 80.00% |
| Mindjoy vs Claudio | 4–0 | 100.00% |
| Mindjoy vs Nina | 4–0 | 100.00% |
| Mindjoy vs Panda | 3–1 | 75.00% |
| Mindjoy vs Victor | 3–1 | 75.00% |
| Mindjoy vs Jack-8 | 2–1 | 66.67% |
| Mindjoy vs Jun | 3–0 | 100.00% |
| Mindjoy vs Raven | 2–1 | 66.67% |
| Mindjoy vs Zafina | 2–0 | 100.00% |
| Mindjoy vs Azucena | 2–0 | 100.00% |
| Mindjoy vs Lidia | 1–1 | 50.00% |
| Mindjoy vs Alisa | 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.