| Mingyu vs King | 39–15 | 72.22% |
| Mingyu vs Dragunov | 28–11 | 71.79% |
| Mingyu vs Hwoarang | 25–10 | 71.43% |
| Mingyu vs Bryan | 28–7 | 80.00% |
| Mingyu vs Lili | 21–10 | 67.74% |
| Mingyu vs Reina | 25–6 | 80.65% |
| Mingyu vs Jin | 20–9 | 68.97% |
| Mingyu vs Paul | 16–12 | 57.14% |
| Mingyu vs Kazuya | 18–10 | 64.29% |
| Mingyu vs Claudio | 16–8 | 66.67% |
| Mingyu vs Feng | 16–7 | 69.57% |
| Mingyu vs Nina | 14–8 | 63.64% |
| Mingyu vs Yoshimitsu | 16–4 | 80.00% |
| Mingyu vs Shaheen | 11–7 | 61.11% |
| Mingyu vs Lee | 15–2 | 88.24% |
| Mingyu vs Asuka | 13–3 | 81.25% |
| Mingyu vs Clive | 7–9 | 43.75% |
| Mingyu vs Leo | 8–7 | 53.33% |
| Mingyu vs Jack-8 | 11–3 | 78.57% |
| Mingyu vs Devil Jin | 10–4 | 71.43% |
| Mingyu vs Steve | 12–1 | 92.31% |
| Mingyu vs Azucena | 8–5 | 61.54% |
| Mingyu vs Law | 10–1 | 90.91% |
| Mingyu vs Lars | 9–2 | 81.82% |
| Mingyu vs Eddy | 7–4 | 63.64% |
| Mingyu vs Anna | 10–1 | 90.91% |
| Mingyu vs Xiaoyu | 4–5 | 44.44% |
| Mingyu vs Victor | 9–0 | 100.00% |
| Mingyu vs Alisa | 5–3 | 62.50% |
| Mingyu vs Lidia | 6–1 | 85.71% |
| Mingyu vs Kuma | 3–3 | 50.00% |
| Mingyu vs Zafina | 5–1 | 83.33% |
| Mingyu vs Leroy | 5–1 | 83.33% |
| Mingyu vs Raven | 5–0 | 100.00% |
| Mingyu vs Panda | 2–2 | 50.00% |
| Mingyu vs Jun | 2–1 | 66.67% |
| Mingyu vs Heihachi | 1–2 | 33.33% |
| Mingyu vs Fahkumram | 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.