| MiftahMishima vs Jin | 13–9 | 59.09% |
| MiftahMishima vs Steve | 13–9 | 59.09% |
| MiftahMishima vs Hwoarang | 12–8 | 60.00% |
| MiftahMishima vs King | 12–6 | 66.67% |
| MiftahMishima vs Law | 10–7 | 58.82% |
| MiftahMishima vs Bryan | 7–9 | 43.75% |
| MiftahMishima vs Kazuya | 9–7 | 56.25% |
| MiftahMishima vs Miary Zo | 8–4 | 66.67% |
| MiftahMishima vs Lili | 4–7 | 36.36% |
| MiftahMishima vs Reina | 10–1 | 90.91% |
| MiftahMishima vs Eddy | 3–6 | 33.33% |
| MiftahMishima vs Asuka | 5–3 | 62.50% |
| MiftahMishima vs Dragunov | 5–3 | 62.50% |
| MiftahMishima vs Armor King | 6–2 | 75.00% |
| MiftahMishima vs Paul | 3–4 | 42.86% |
| MiftahMishima vs Lars | 3–4 | 42.86% |
| MiftahMishima vs Yoshimitsu | 5–1 | 83.33% |
| MiftahMishima vs Feng | 2–4 | 33.33% |
| MiftahMishima vs Shaheen | 3–3 | 50.00% |
| MiftahMishima vs Nina | 1–5 | 16.67% |
| MiftahMishima vs Azucena | 3–3 | 50.00% |
| MiftahMishima vs Leo | 5–0 | 100.00% |
| MiftahMishima vs Alisa | 4–1 | 80.00% |
| MiftahMishima vs Victor | 4–1 | 80.00% |
| MiftahMishima vs Clive | 1–4 | 20.00% |
| MiftahMishima vs Lee | 3–1 | 75.00% |
| MiftahMishima vs Fahkumram | 2–2 | 50.00% |
| MiftahMishima vs Xiaoyu | 1–2 | 33.33% |
| MiftahMishima vs Devil Jin | 0–3 | 0.00% |
| MiftahMishima vs Raven | 1–2 | 33.33% |
| MiftahMishima vs Anna | 2–1 | 66.67% |
| MiftahMishima vs Jack-8 | 1–1 | 50.00% |
| MiftahMishima vs Claudio | 2–0 | 100.00% |
| MiftahMishima vs Kuma | 1–1 | 50.00% |
| MiftahMishima vs Zafina | 2–0 | 100.00% |
| MiftahMishima vs Jun | 1–1 | 50.00% |
| MiftahMishima vs Heihachi | 1–1 | 50.00% |
| MiftahMishima vs Leroy | 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.