| STLMURDA vs King | 20–41 | 32.79% |
| STLMURDA vs Kazuya | 14–41 | 25.45% |
| STLMURDA vs Jin | 19–27 | 41.30% |
| STLMURDA vs Reina | 21–22 | 48.84% |
| STLMURDA vs Steve | 12–26 | 31.58% |
| STLMURDA vs Lidia | 15–23 | 39.47% |
| STLMURDA vs Lili | 15–22 | 40.54% |
| STLMURDA vs Azucena | 10–24 | 29.41% |
| STLMURDA vs Asuka | 12–21 | 36.36% |
| STLMURDA vs Dragunov | 8–20 | 28.57% |
| STLMURDA vs Bryan | 6–20 | 23.08% |
| STLMURDA vs Lee | 12–13 | 48.00% |
| STLMURDA vs Nina | 10–14 | 41.67% |
| STLMURDA vs Law | 11–12 | 47.83% |
| STLMURDA vs Jun | 6–16 | 27.27% |
| STLMURDA vs Victor | 2–17 | 10.53% |
| STLMURDA vs Yoshimitsu | 10–8 | 55.56% |
| STLMURDA vs Hwoarang | 6–12 | 33.33% |
| STLMURDA vs Alisa | 1–15 | 6.25% |
| STLMURDA vs Leroy | 7–9 | 43.75% |
| STLMURDA vs Shaheen | 5–10 | 33.33% |
| STLMURDA vs Devil Jin | 1–12 | 7.69% |
| STLMURDA vs Clive | 5–8 | 38.46% |
| STLMURDA vs Anna | 5–8 | 38.46% |
| STLMURDA vs Paul | 6–6 | 50.00% |
| STLMURDA vs Feng | 2–10 | 16.67% |
| STLMURDA vs Lars | 4–7 | 36.36% |
| STLMURDA vs Heihachi | 5–6 | 45.45% |
| STLMURDA vs Xiaoyu | 3–7 | 30.00% |
| STLMURDA vs Jack-8 | 5–5 | 50.00% |
| STLMURDA vs Claudio | 3–7 | 30.00% |
| STLMURDA vs Eddy | 1–9 | 10.00% |
| STLMURDA vs Zafina | 5–4 | 55.56% |
| STLMURDA vs Fahkumram | 0–9 | 0.00% |
| STLMURDA vs Leo | 2–6 | 25.00% |
| STLMURDA vs Kuma | 2–6 | 25.00% |
| STLMURDA vs Raven | 1–6 | 14.29% |
| STLMURDA vs Panda | 3–1 | 75.00% |
| STLMURDA vs Miary Zo | 0–2 | 0.00% |
| STLMURDA vs Armor King | 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.