| Meal vs Kazuya | 37–19 | 66.07% |
| Meal vs King | 41–14 | 74.55% |
| Meal vs Steve | 25–12 | 67.57% |
| Meal vs Heihachi | 26–11 | 70.27% |
| Meal vs Jin | 26–10 | 72.22% |
| Meal vs Lili | 18–16 | 52.94% |
| Meal vs Hwoarang | 16–15 | 51.61% |
| Meal vs Bryan | 22–9 | 70.97% |
| Meal vs Fahkumram | 17–11 | 60.71% |
| Meal vs Dragunov | 12–13 | 48.00% |
| Meal vs Nina | 18–6 | 75.00% |
| Meal vs Reina | 10–10 | 50.00% |
| Meal vs Devil Jin | 11–7 | 61.11% |
| Meal vs Lee | 9–8 | 52.94% |
| Meal vs Jun | 9–7 | 56.25% |
| Meal vs Yoshimitsu | 11–4 | 73.33% |
| Meal vs Feng | 9–6 | 60.00% |
| Meal vs Asuka | 9–5 | 64.29% |
| Meal vs Law | 5–8 | 38.46% |
| Meal vs Alisa | 7–6 | 53.85% |
| Meal vs Zafina | 11–2 | 84.62% |
| Meal vs Azucena | 7–6 | 53.85% |
| Meal vs Armor King | 10–3 | 76.92% |
| Meal vs Paul | 9–3 | 75.00% |
| Meal vs Leroy | 7–4 | 63.64% |
| Meal vs Xiaoyu | 5–5 | 50.00% |
| Meal vs Jack-8 | 5–4 | 55.56% |
| Meal vs Shaheen | 6–3 | 66.67% |
| Meal vs Lars | 5–3 | 62.50% |
| Meal vs Victor | 4–4 | 50.00% |
| Meal vs Anna | 5–3 | 62.50% |
| Meal vs Eddy | 2–5 | 28.57% |
| Meal vs Clive | 2–5 | 28.57% |
| Meal vs Leo | 4–2 | 66.67% |
| Meal vs Claudio | 4–2 | 66.67% |
| Meal vs Lidia | 2–4 | 33.33% |
| Meal vs Kuma | 0–3 | 0.00% |
| Meal vs Raven | 2–1 | 66.67% |
| Meal vs Miary Zo | 2–1 | 66.67% |
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.