| M3th_Enjoyer vs King | 8–10 | 44.44% |
| M3th_Enjoyer vs Steve | 8–8 | 50.00% |
| M3th_Enjoyer vs Hwoarang | 4–7 | 36.36% |
| M3th_Enjoyer vs Armor King | 4–6 | 40.00% |
| M3th_Enjoyer vs Eddy | 1–8 | 11.11% |
| M3th_Enjoyer vs Lili | 4–4 | 50.00% |
| M3th_Enjoyer vs Nina | 2–5 | 28.57% |
| M3th_Enjoyer vs Azucena | 4–3 | 57.14% |
| M3th_Enjoyer vs Xiaoyu | 4–2 | 66.67% |
| M3th_Enjoyer vs Asuka | 3–3 | 50.00% |
| M3th_Enjoyer vs Dragunov | 1–5 | 16.67% |
| M3th_Enjoyer vs Miary Zo | 4–2 | 66.67% |
| M3th_Enjoyer vs Lee | 0–5 | 0.00% |
| M3th_Enjoyer vs Jun | 2–3 | 40.00% |
| M3th_Enjoyer vs Heihachi | 3–2 | 60.00% |
| M3th_Enjoyer vs Jin | 0–4 | 0.00% |
| M3th_Enjoyer vs Jack-8 | 0–4 | 0.00% |
| M3th_Enjoyer vs Feng | 0–4 | 0.00% |
| M3th_Enjoyer vs Paul | 3–0 | 100.00% |
| M3th_Enjoyer vs Devil Jin | 1–2 | 33.33% |
| M3th_Enjoyer vs Alisa | 1–2 | 33.33% |
| M3th_Enjoyer vs Panda | 2–1 | 66.67% |
| M3th_Enjoyer vs Victor | 2–1 | 66.67% |
| M3th_Enjoyer vs Raven | 1–2 | 33.33% |
| M3th_Enjoyer vs Law | 0–2 | 0.00% |
| M3th_Enjoyer vs Yoshimitsu | 0–2 | 0.00% |
| M3th_Enjoyer vs Bryan | 1–1 | 50.00% |
| M3th_Enjoyer vs Lars | 1–1 | 50.00% |
| M3th_Enjoyer vs Claudio | 1–1 | 50.00% |
| M3th_Enjoyer vs Lidia | 0–2 | 0.00% |
| M3th_Enjoyer vs Kazuya | 0–1 | 0.00% |
| M3th_Enjoyer vs Zafina | 1–0 | 100.00% |
| M3th_Enjoyer vs Clive | 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.