| Micahdaguy vs King | 37–29 | 56.06% |
| Micahdaguy vs Kazuya | 14–20 | 41.18% |
| Micahdaguy vs Steve | 17–16 | 51.52% |
| Micahdaguy vs Victor | 17–14 | 54.84% |
| Micahdaguy vs Hwoarang | 15–14 | 51.72% |
| Micahdaguy vs Jin | 12–9 | 57.14% |
| Micahdaguy vs Reina | 12–9 | 57.14% |
| Micahdaguy vs Bryan | 8–10 | 44.44% |
| Micahdaguy vs Azucena | 10–8 | 55.56% |
| Micahdaguy vs Clive | 5–12 | 29.41% |
| Micahdaguy vs Lars | 6–10 | 37.50% |
| Micahdaguy vs Jun | 6–9 | 40.00% |
| Micahdaguy vs Eddy | 6–9 | 40.00% |
| Micahdaguy vs Anna | 10–5 | 66.67% |
| Micahdaguy vs Lili | 8–6 | 57.14% |
| Micahdaguy vs Heihachi | 2–11 | 15.38% |
| Micahdaguy vs Paul | 6–6 | 50.00% |
| Micahdaguy vs Law | 4–7 | 36.36% |
| Micahdaguy vs Yoshimitsu | 6–5 | 54.55% |
| Micahdaguy vs Fahkumram | 4–7 | 36.36% |
| Micahdaguy vs Xiaoyu | 8–1–1 | 88.89% |
| Micahdaguy vs Lee | 5–5 | 50.00% |
| Micahdaguy vs Jack-8 | 4–5 | 44.44% |
| Micahdaguy vs Feng | 4–4 | 50.00% |
| Micahdaguy vs Raven | 3–5 | 37.50% |
| Micahdaguy vs Dragunov | 1–6 | 14.29% |
| Micahdaguy vs Leo | 2–4 | 33.33% |
| Micahdaguy vs Alisa | 1–5 | 16.67% |
| Micahdaguy vs Claudio | 1–5 | 16.67% |
| Micahdaguy vs Shaheen | 3–3 | 50.00% |
| Micahdaguy vs Panda | 6–0 | 100.00% |
| Micahdaguy vs Devil Jin | 3–2 | 60.00% |
| Micahdaguy vs Kuma | 0–5 | 0.00% |
| Micahdaguy vs Lidia | 4–1 | 80.00% |
| Micahdaguy vs Armor King | 2–3 | 40.00% |
| Micahdaguy vs Asuka | 1–3 | 25.00% |
| Micahdaguy vs Leroy | 1–3 | 25.00% |
| Micahdaguy vs Nina | 1–2 | 33.33% |
| Micahdaguy vs Zafina | 0–3 | 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.