| MR4W vs Kazuya | 23–18 | 56.10% |
| MR4W vs Jin | 19–16 | 54.29% |
| MR4W vs Armor King | 16–16 | 50.00% |
| MR4W vs King | 22–9 | 70.97% |
| MR4W vs Law | 17–10 | 62.96% |
| MR4W vs Steve | 18–9 | 66.67% |
| MR4W vs Bryan | 16–10 | 61.54% |
| MR4W vs Hwoarang | 10–13 | 43.48% |
| MR4W vs Yoshimitsu | 8–12 | 40.00% |
| MR4W vs Lidia | 17–3 | 85.00% |
| MR4W vs Reina | 14–5 | 73.68% |
| MR4W vs Azucena | 11–6 | 64.71% |
| MR4W vs Asuka | 7–9 | 43.75% |
| MR4W vs Lili | 9–5 | 64.29% |
| MR4W vs Clive | 11–3 | 78.57% |
| MR4W vs Devil Jin | 7–6 | 53.85% |
| MR4W vs Eddy | 9–4 | 69.23% |
| MR4W vs Paul | 6–6 | 50.00% |
| MR4W vs Dragunov | 7–4 | 63.64% |
| MR4W vs Heihachi | 4–7 | 36.36% |
| MR4W vs Lars | 4–5 | 44.44% |
| MR4W vs Nina | 6–3 | 66.67% |
| MR4W vs Kuma | 5–4 | 55.56% |
| MR4W vs Zafina | 5–4 | 55.56% |
| MR4W vs Victor | 6–2 | 75.00% |
| MR4W vs Xiaoyu | 1–6 | 14.29% |
| MR4W vs Alisa | 4–2 | 66.67% |
| MR4W vs Lee | 3–3 | 50.00% |
| MR4W vs Feng | 3–2 | 60.00% |
| MR4W vs Fahkumram | 2–3 | 40.00% |
| MR4W vs Shaheen | 3–1 | 75.00% |
| MR4W vs Jack-8 | 1–2 | 33.33% |
| MR4W vs Claudio | 3–0 | 100.00% |
| MR4W vs Leroy | 1–2 | 33.33% |
| MR4W vs Jun | 0–3 | 0.00% |
| MR4W vs Leo | 2–0 | 100.00% |
| MR4W vs Raven | 2–0 | 100.00% |
| MR4W vs Anna | 2–0 | 100.00% |
| MR4W vs Miary Zo | 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.