| RSM_501 vs Kazuya | 39–32 | 54.93% |
| RSM_501 vs Jin | 34–29 | 53.97% |
| RSM_501 vs Bryan | 19–30 | 38.78% |
| RSM_501 vs King | 28–12 | 70.00% |
| RSM_501 vs Heihachi | 22–15 | 59.46% |
| RSM_501 vs Steve | 13–19 | 40.62% |
| RSM_501 vs Law | 19–9 | 67.86% |
| RSM_501 vs Devil Jin | 9–14 | 39.13% |
| RSM_501 vs Paul | 5–14 | 26.32% |
| RSM_501 vs Lee | 6–10 | 37.50% |
| RSM_501 vs Reina | 10–6 | 62.50% |
| RSM_501 vs Armor King | 10–5 | 66.67% |
| RSM_501 vs Dragunov | 9–5 | 64.29% |
| RSM_501 vs Azucena | 4–9 | 30.77% |
| RSM_501 vs Yoshimitsu | 5–7 | 41.67% |
| RSM_501 vs Fahkumram | 4–8 | 33.33% |
| RSM_501 vs Asuka | 6–5 | 54.55% |
| RSM_501 vs Victor | 7–4 | 63.64% |
| RSM_501 vs Lars | 4–4 | 50.00% |
| RSM_501 vs Anna | 6–2 | 75.00% |
| RSM_501 vs Miary Zo | 7–1 | 87.50% |
| RSM_501 vs Feng | 2–5 | 28.57% |
| RSM_501 vs Leo | 2–5 | 28.57% |
| RSM_501 vs Nina | 3–4 | 42.86% |
| RSM_501 vs Jack-8 | 4–2 | 66.67% |
| RSM_501 vs Lili | 2–4 | 33.33% |
| RSM_501 vs Shaheen | 5–1 | 83.33% |
| RSM_501 vs Clive | 2–4 | 33.33% |
| RSM_501 vs Hwoarang | 2–3 | 40.00% |
| RSM_501 vs Xiaoyu | 4–1 | 80.00% |
| RSM_501 vs Claudio | 2–2 | 50.00% |
| RSM_501 vs Jun | 4–0 | 100.00% |
| RSM_501 vs Alisa | 1–1 | 50.00% |
| RSM_501 vs Kuma | 1–1 | 50.00% |
| RSM_501 vs Leroy | 1–1 | 50.00% |
| RSM_501 vs Lidia | 2–0 | 100.00% |
| RSM_501 vs Eddy | 0–1 | 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.