| mlrs vs Kazuya | 25–20 | 55.56% |
| mlrs vs Clive | 22–23 | 48.89% |
| mlrs vs King | 24–19 | 55.81% |
| mlrs vs Steve | 18–19 | 48.65% |
| mlrs vs Armor King | 14–22 | 38.89% |
| mlrs vs Hwoarang | 12–18 | 40.00% |
| mlrs vs Jun | 14–16 | 46.67% |
| mlrs vs Reina | 19–8 | 70.37% |
| mlrs vs Law | 5–21 | 19.23% |
| mlrs vs Bryan | 15–10 | 60.00% |
| mlrs vs Heihachi | 10–15 | 40.00% |
| mlrs vs Jin | 8–16 | 33.33% |
| mlrs vs Asuka | 14–10 | 58.33% |
| mlrs vs Lili | 14–9 | 60.87% |
| mlrs vs Xiaoyu | 11–11 | 50.00% |
| mlrs vs Eddy | 7–15 | 31.82% |
| mlrs vs Leroy | 11–10 | 52.38% |
| mlrs vs Victor | 11–9 | 55.00% |
| mlrs vs Yoshimitsu | 6–12 | 33.33% |
| mlrs vs Paul | 3–12 | 20.00% |
| mlrs vs Dragunov | 10–5 | 66.67% |
| mlrs vs Feng | 8–6 | 57.14% |
| mlrs vs Lee | 9–5 | 64.29% |
| mlrs vs Jack-8 | 5–7 | 41.67% |
| mlrs vs Leo | 5–7 | 41.67% |
| mlrs vs Devil Jin | 8–3 | 72.73% |
| mlrs vs Lidia | 7–4 | 63.64% |
| mlrs vs Lars | 7–3 | 70.00% |
| mlrs vs Fahkumram | 3–6 | 33.33% |
| mlrs vs Miary Zo | 3–6 | 33.33% |
| mlrs vs Alisa | 2–5 | 28.57% |
| mlrs vs Shaheen | 2–5 | 28.57% |
| mlrs vs Anna | 3–4 | 42.86% |
| mlrs vs Raven | 2–4 | 33.33% |
| mlrs vs Nina | 1–4 | 20.00% |
| mlrs vs Kuma | 1–4 | 20.00% |
| mlrs vs Zafina | 4–1 | 80.00% |
| mlrs vs Azucena | 1–2 | 33.33% |
| mlrs vs Panda | 2–0 | 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.