| MiguelPlzBamco vs King | 24–6 | 80.00% |
| MiguelPlzBamco vs Kazuya | 20–10 | 66.67% |
| MiguelPlzBamco vs Jin | 16–9 | 64.00% |
| MiguelPlzBamco vs Steve | 20–3 | 86.96% |
| MiguelPlzBamco vs Hwoarang | 18–3 | 85.71% |
| MiguelPlzBamco vs Reina | 19–1 | 95.00% |
| MiguelPlzBamco vs Heihachi | 14–6 | 70.00% |
| MiguelPlzBamco vs Law | 13–4 | 76.47% |
| MiguelPlzBamco vs Yoshimitsu | 14–3 | 82.35% |
| MiguelPlzBamco vs Eddy | 14–3 | 82.35% |
| MiguelPlzBamco vs Feng | 13–3 | 81.25% |
| MiguelPlzBamco vs Jun | 13–3 | 81.25% |
| MiguelPlzBamco vs Clive | 12–3 | 80.00% |
| MiguelPlzBamco vs Dragunov | 7–7 | 50.00% |
| MiguelPlzBamco vs Alisa | 10–4 | 71.43% |
| MiguelPlzBamco vs Bryan | 12–1 | 92.31% |
| MiguelPlzBamco vs Lili | 13–0 | 100.00% |
| MiguelPlzBamco vs Kuma | 7–6 | 53.85% |
| MiguelPlzBamco vs Victor | 8–5 | 61.54% |
| MiguelPlzBamco vs Lars | 10–2 | 83.33% |
| MiguelPlzBamco vs Lee | 7–4 | 63.64% |
| MiguelPlzBamco vs Miary Zo | 7–4 | 63.64% |
| MiguelPlzBamco vs Xiaoyu | 6–4 | 60.00% |
| MiguelPlzBamco vs Leo | 8–2 | 80.00% |
| MiguelPlzBamco vs Leroy | 6–3 | 66.67% |
| MiguelPlzBamco vs Azucena | 5–4 | 55.56% |
| MiguelPlzBamco vs Devil Jin | 6–2 | 75.00% |
| MiguelPlzBamco vs Claudio | 5–1 | 83.33% |
| MiguelPlzBamco vs Zafina | 2–4 | 33.33% |
| MiguelPlzBamco vs Raven | 4–2 | 66.67% |
| MiguelPlzBamco vs Lidia | 5–0 | 100.00% |
| MiguelPlzBamco vs Armor King | 4–1 | 80.00% |
| MiguelPlzBamco vs Asuka | 4–0 | 100.00% |
| MiguelPlzBamco vs Nina | 2–2 | 50.00% |
| MiguelPlzBamco vs Shaheen | 3–0 | 100.00% |
| MiguelPlzBamco vs Paul | 2–0 | 100.00% |
| MiguelPlzBamco vs Anna | 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.