| Miguelm vs Jin | 191–202 | 48.60% |
| Miguelm vs Kazuya | 188–202 | 48.21% |
| Miguelm vs Heihachi | 141–185 | 43.25% |
| Miguelm vs Reina | 157–130 | 54.70% |
| Miguelm vs King | 126–126 | 50.00% |
| Miguelm vs Bryan | 96–150 | 39.02% |
| Miguelm vs Hwoarang | 119–126 | 48.57% |
| Miguelm vs Law | 101–129 | 43.91% |
| Miguelm vs Dragunov | 94–120 | 43.93% |
| Miguelm vs Steve | 93–113 | 45.15% |
| Miguelm vs Yoshimitsu | 89–105 | 45.88% |
| Miguelm vs Paul | 83–81 | 50.61% |
| Miguelm vs Asuka | 79–78 | 50.32% |
| Miguelm vs Clive | 71–84 | 45.81% |
| Miguelm vs Armor King | 71–83 | 46.10% |
| Miguelm vs Lili | 68–81 | 45.64% |
| Miguelm vs Lee | 54–64 | 45.76% |
| Miguelm vs Victor | 54–61 | 46.96% |
| Miguelm vs Jun | 49–60 | 44.95% |
| Miguelm vs Nina | 60–46 | 56.60% |
| Miguelm vs Eddy | 55–50 | 52.38% |
| Miguelm vs Azucena | 58–44 | 56.86% |
| Miguelm vs Devil Jin | 25–75 | 25.00% |
| Miguelm vs Lars | 43–46 | 48.31% |
| Miguelm vs Lidia | 48–39 | 55.17% |
| Miguelm vs Fahkumram | 28–57 | 32.94% |
| Miguelm vs Claudio | 40–44 | 47.62% |
| Miguelm vs Alisa | 39–42 | 48.15% |
| Miguelm vs Xiaoyu | 37–42 | 46.84% |
| Miguelm vs Feng | 31–43 | 41.89% |
| Miguelm vs Anna | 41–16 | 71.93% |
| Miguelm vs Raven | 24–32 | 42.86% |
| Miguelm vs Leo | 28–25 | 52.83% |
| Miguelm vs Jack-8 | 20–30 | 40.00% |
| Miguelm vs Leroy | 22–25 | 46.81% |
| Miguelm vs Miary Zo | 25–22 | 53.19% |
| Miguelm vs Kuma | 20–26 | 43.48% |
| Miguelm vs Panda | 23–7 | 76.67% |
| Miguelm vs Zafina | 12–12 | 50.00% |
| Miguelm vs Shaheen | 11–12 | 47.83% |
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.