| SM1L3R vs Kazuya | 84–44 | 65.62% |
| SM1L3R vs Hwoarang | 60–53–1 | 53.10% |
| SM1L3R vs Law | 65–43 | 60.19% |
| SM1L3R vs Yoshimitsu | 70–38 | 64.81% |
| SM1L3R vs Bryan | 55–49 | 52.88% |
| SM1L3R vs Jin | 42–59 | 41.58% |
| SM1L3R vs King | 59–30 | 66.29% |
| SM1L3R vs Paul | 47–38 | 55.29% |
| SM1L3R vs Steve | 39–38 | 50.65% |
| SM1L3R vs Lili | 39–30 | 56.52% |
| SM1L3R vs Armor King | 41–28 | 59.42% |
| SM1L3R vs Devil Jin | 33–34 | 49.25% |
| SM1L3R vs Reina | 27–39 | 40.91% |
| SM1L3R vs Dragunov | 33–31 | 51.56% |
| SM1L3R vs Clive | 29–25 | 53.70% |
| SM1L3R vs Asuka | 24–28 | 46.15% |
| SM1L3R vs Lee | 22–26 | 45.83% |
| SM1L3R vs Jun | 22–25 | 46.81% |
| SM1L3R vs Azucena | 17–30 | 36.17% |
| SM1L3R vs Heihachi | 27–20 | 57.45% |
| SM1L3R vs Leo | 23–19 | 54.76% |
| SM1L3R vs Nina | 29–11 | 72.50% |
| SM1L3R vs Lars | 13–22 | 37.14% |
| SM1L3R vs Alisa | 17–16 | 51.52% |
| SM1L3R vs Fahkumram | 17–16 | 51.52% |
| SM1L3R vs Eddy | 16–14 | 53.33% |
| SM1L3R vs Claudio | 10–18 | 35.71% |
| SM1L3R vs Raven | 11–17 | 39.29% |
| SM1L3R vs Xiaoyu | 16–11 | 59.26% |
| SM1L3R vs Feng | 14–12 | 53.85% |
| SM1L3R vs Leroy | 14–12 | 53.85% |
| SM1L3R vs Shaheen | 11–13 | 45.83% |
| SM1L3R vs Anna | 10–13 | 43.48% |
| SM1L3R vs Jack-8 | 11–11 | 50.00% |
| SM1L3R vs Victor | 10–10 | 50.00% |
| SM1L3R vs Lidia | 10–7 | 58.82% |
| SM1L3R vs Miary Zo | 6–10 | 37.50% |
| SM1L3R vs Zafina | 5–10 | 33.33% |
| SM1L3R vs Kuma | 2–9 | 18.18% |
| SM1L3R vs Panda | 4–0 | 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.