| L_S_P_ vs Armor King | 15–11 | 57.69% |
| L_S_P_ vs Hwoarang | 16–6 | 72.73% |
| L_S_P_ vs Reina | 15–7 | 68.18% |
| L_S_P_ vs King | 10–11 | 47.62% |
| L_S_P_ vs Steve | 12–9 | 57.14% |
| L_S_P_ vs Dragunov | 13–7 | 65.00% |
| L_S_P_ vs Heihachi | 14–6 | 70.00% |
| L_S_P_ vs Law | 16–3 | 84.21% |
| L_S_P_ vs Kazuya | 9–9 | 50.00% |
| L_S_P_ vs Clive | 6–9 | 40.00% |
| L_S_P_ vs Jin | 7–7 | 50.00% |
| L_S_P_ vs Asuka | 8–6 | 57.14% |
| L_S_P_ vs Bryan | 10–3 | 76.92% |
| L_S_P_ vs Jun | 6–7 | 46.15% |
| L_S_P_ vs Eddy | 11–2 | 84.62% |
| L_S_P_ vs Lidia | 9–4 | 69.23% |
| L_S_P_ vs Miary Zo | 11–2 | 84.62% |
| L_S_P_ vs Paul | 8–4 | 66.67% |
| L_S_P_ vs Azucena | 5–7 | 41.67% |
| L_S_P_ vs Nina | 7–4 | 63.64% |
| L_S_P_ vs Fahkumram | 4–5 | 44.44% |
| L_S_P_ vs Lee | 4–4 | 50.00% |
| L_S_P_ vs Lars | 3–4 | 42.86% |
| L_S_P_ vs Lili | 2–4 | 33.33% |
| L_S_P_ vs Claudio | 6–0 | 100.00% |
| L_S_P_ vs Xiaoyu | 4–1 | 80.00% |
| L_S_P_ vs Leo | 1–4 | 20.00% |
| L_S_P_ vs Alisa | 4–1 | 80.00% |
| L_S_P_ vs Raven | 2–3 | 40.00% |
| L_S_P_ vs Jack-8 | 3–1 | 75.00% |
| L_S_P_ vs Feng | 4–0 | 100.00% |
| L_S_P_ vs Victor | 2–2 | 50.00% |
| L_S_P_ vs Yoshimitsu | 1–2 | 33.33% |
| L_S_P_ vs Devil Jin | 2–1 | 66.67% |
| L_S_P_ vs Leroy | 2–1 | 66.67% |
| L_S_P_ vs Kuma | 0–2 | 0.00% |
| L_S_P_ vs Zafina | 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.