| Meat vs Steve | 45–28 | 61.64% |
| Meat vs Dragunov | 25–32 | 43.86% |
| Meat vs Kazuya | 27–24 | 52.94% |
| Meat vs Jin | 30–19 | 61.22% |
| Meat vs Armor King | 25–19 | 56.82% |
| Meat vs Bryan | 22–21 | 51.16% |
| Meat vs Lili | 20–14 | 58.82% |
| Meat vs Heihachi | 15–19 | 44.12% |
| Meat vs Reina | 15–14 | 51.72% |
| Meat vs Fahkumram | 13–14 | 48.15% |
| Meat vs King | 13–10 | 56.52% |
| Meat vs Hwoarang | 8–14 | 36.36% |
| Meat vs Lars | 9–11 | 45.00% |
| Meat vs Law | 11–7 | 61.11% |
| Meat vs Yoshimitsu | 9–9 | 50.00% |
| Meat vs Paul | 6–11 | 35.29% |
| Meat vs Asuka | 7–10 | 41.18% |
| Meat vs Devil Jin | 3–14 | 17.65% |
| Meat vs Clive | 7–8 | 46.67% |
| Meat vs Victor | 5–9 | 35.71% |
| Meat vs Lidia | 8–6 | 57.14% |
| Meat vs Xiaoyu | 4–9 | 30.77% |
| Meat vs Lee | 5–5 | 50.00% |
| Meat vs Azucena | 6–3 | 66.67% |
| Meat vs Miary Zo | 4–4 | 50.00% |
| Meat vs Jack-8 | 3–4 | 42.86% |
| Meat vs Nina | 3–4 | 42.86% |
| Meat vs Jun | 3–4 | 42.86% |
| Meat vs Eddy | 1–5 | 16.67% |
| Meat vs Anna | 4–2 | 66.67% |
| Meat vs Kuma | 1–4 | 20.00% |
| Meat vs Feng | 1–3 | 25.00% |
| Meat vs Leo | 0–4 | 0.00% |
| Meat vs Alisa | 2–2 | 50.00% |
| Meat vs Leroy | 1–2 | 33.33% |
| Meat vs Raven | 1–2 | 33.33% |
| Meat vs Claudio | 0–2 | 0.00% |
| Meat vs Panda | 2–0 | 100.00% |
| Meat vs Zafina | 0–2 | 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.