| yM1NI vs Jin | 23–37 | 38.33% |
| yM1NI vs Steve | 25–27 | 48.08% |
| yM1NI vs Armor King | 16–28 | 36.36% |
| yM1NI vs King | 16–20 | 44.44% |
| yM1NI vs Hwoarang | 15–19 | 44.12% |
| yM1NI vs Kazuya | 7–24 | 22.58% |
| yM1NI vs Reina | 14–17 | 45.16% |
| yM1NI vs Law | 14–16 | 46.67% |
| yM1NI vs Lili | 8–19 | 29.63% |
| yM1NI vs Eddy | 11–15 | 42.31% |
| yM1NI vs Jun | 11–13 | 45.83% |
| yM1NI vs Dragunov | 9–13 | 40.91% |
| yM1NI vs Fahkumram | 7–15 | 31.82% |
| yM1NI vs Yoshimitsu | 12–9 | 57.14% |
| yM1NI vs Heihachi | 10–9 | 52.63% |
| yM1NI vs Bryan | 5–12 | 29.41% |
| yM1NI vs Lee | 3–10 | 23.08% |
| yM1NI vs Miary Zo | 3–10 | 23.08% |
| yM1NI vs Xiaoyu | 4–8 | 33.33% |
| yM1NI vs Victor | 6–6 | 50.00% |
| yM1NI vs Clive | 7–5 | 58.33% |
| yM1NI vs Lidia | 7–4 | 63.64% |
| yM1NI vs Anna | 5–6 | 45.45% |
| yM1NI vs Devil Jin | 4–4 | 50.00% |
| yM1NI vs Leo | 3–5 | 37.50% |
| yM1NI vs Azucena | 3–5 | 37.50% |
| yM1NI vs Paul | 1–5 | 16.67% |
| yM1NI vs Feng | 2–4 | 33.33% |
| yM1NI vs Lars | 1–5 | 16.67% |
| yM1NI vs Leroy | 2–4 | 33.33% |
| yM1NI vs Asuka | 1–4 | 20.00% |
| yM1NI vs Alisa | 1–4 | 20.00% |
| yM1NI vs Shaheen | 2–2 | 50.00% |
| yM1NI vs Panda | 1–3 | 25.00% |
| yM1NI vs Zafina | 2–2 | 50.00% |
| yM1NI vs Raven | 3–1 | 75.00% |
| yM1NI vs Jack-8 | 1–2 | 33.33% |
| yM1NI vs Nina | 2–1 | 66.67% |
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.