| MysteryMeat vs Kazuya | 10–2 | 83.33% |
| MysteryMeat vs Dragunov | 7–5 | 58.33% |
| MysteryMeat vs Lili | 8–2 | 80.00% |
| MysteryMeat vs Jun | 6–4 | 60.00% |
| MysteryMeat vs Fahkumram | 5–5 | 50.00% |
| MysteryMeat vs Bryan | 5–3 | 62.50% |
| MysteryMeat vs Reina | 8–0 | 100.00% |
| MysteryMeat vs King | 6–1 | 85.71% |
| MysteryMeat vs Nina | 6–1 | 85.71% |
| MysteryMeat vs Hwoarang | 3–3 | 50.00% |
| MysteryMeat vs Azucena | 2–4 | 33.33% |
| MysteryMeat vs Leo | 4–1 | 80.00% |
| MysteryMeat vs Claudio | 2–3 | 40.00% |
| MysteryMeat vs Paul | 0–4 | 0.00% |
| MysteryMeat vs Xiaoyu | 3–1 | 75.00% |
| MysteryMeat vs Devil Jin | 3–1 | 75.00% |
| MysteryMeat vs Leroy | 3–1 | 75.00% |
| MysteryMeat vs Victor | 2–2 | 50.00% |
| MysteryMeat vs Jin | 2–1 | 66.67% |
| MysteryMeat vs Steve | 3–0 | 100.00% |
| MysteryMeat vs Asuka | 1–2 | 33.33% |
| MysteryMeat vs Lars | 2–1 | 66.67% |
| MysteryMeat vs Alisa | 2–1 | 66.67% |
| MysteryMeat vs Zafina | 2–1 | 66.67% |
| MysteryMeat vs Law | 2–0 | 100.00% |
| MysteryMeat vs Feng | 2–0 | 100.00% |
| MysteryMeat vs Shaheen | 2–0 | 100.00% |
| MysteryMeat vs Lee | 1–1 | 50.00% |
| MysteryMeat vs Kuma | 0–2 | 0.00% |
| MysteryMeat vs Clive | 1–1 | 50.00% |
| MysteryMeat vs Yoshimitsu | 1–0 | 100.00% |
| MysteryMeat vs Jack-8 | 1–0 | 100.00% |
| MysteryMeat vs Lidia | 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.