| MickyByte vs King | 14–17 | 45.16% |
| MickyByte vs Law | 10–12 | 45.45% |
| MickyByte vs Kazuya | 16–6 | 72.73% |
| MickyByte vs Lee | 14–8 | 63.64% |
| MickyByte vs Reina | 15–7 | 68.18% |
| MickyByte vs Dragunov | 13–8 | 61.90% |
| MickyByte vs Jin | 10–9 | 52.63% |
| MickyByte vs Lili | 6–8 | 42.86% |
| MickyByte vs Miary Zo | 7–7 | 50.00% |
| MickyByte vs Hwoarang | 5–7 | 41.67% |
| MickyByte vs Bryan | 8–4 | 66.67% |
| MickyByte vs Heihachi | 5–7 | 41.67% |
| MickyByte vs Devil Jin | 4–7 | 36.36% |
| MickyByte vs Paul | 5–5 | 50.00% |
| MickyByte vs Xiaoyu | 4–6 | 40.00% |
| MickyByte vs Yoshimitsu | 6–3 | 66.67% |
| MickyByte vs Alisa | 7–2 | 77.78% |
| MickyByte vs Claudio | 3–6 | 33.33% |
| MickyByte vs Nina | 4–5 | 44.44% |
| MickyByte vs Eddy | 4–4 | 50.00% |
| MickyByte vs Azucena | 4–3 | 57.14% |
| MickyByte vs Lidia | 4–3 | 57.14% |
| MickyByte vs Clive | 3–4 | 42.86% |
| MickyByte vs Feng | 5–1 | 83.33% |
| MickyByte vs Leroy | 5–1 | 83.33% |
| MickyByte vs Jun | 3–3 | 50.00% |
| MickyByte vs Anna | 4–2 | 66.67% |
| MickyByte vs Steve | 4–1 | 80.00% |
| MickyByte vs Asuka | 3–2 | 60.00% |
| MickyByte vs Lars | 2–3 | 40.00% |
| MickyByte vs Victor | 1–4 | 20.00% |
| MickyByte vs Raven | 4–1 | 80.00% |
| MickyByte vs Fahkumram | 2–3 | 40.00% |
| MickyByte vs Leo | 2–2 | 50.00% |
| MickyByte vs Zafina | 3–1 | 75.00% |
| MickyByte vs Armor King | 1–3 | 25.00% |
| MickyByte vs Panda | 2–1 | 66.67% |
| MickyByte vs Shaheen | 0–2 | 0.00% |
| MickyByte vs Kuma | 1–1 | 50.00% |
| MickyByte vs Jack-8 | 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.