| LAY_ST vs Dragunov | 13–10 | 56.52% |
| LAY_ST vs Kazuya | 17–4 | 80.95% |
| LAY_ST vs Paul | 15–5 | 75.00% |
| LAY_ST vs King | 17–3 | 85.00% |
| LAY_ST vs Hwoarang | 15–5 | 75.00% |
| LAY_ST vs Bryan | 12–7 | 63.16% |
| LAY_ST vs Clive | 15–4 | 78.95% |
| LAY_ST vs Victor | 13–5 | 72.22% |
| LAY_ST vs Eddy | 12–6 | 66.67% |
| LAY_ST vs Asuka | 14–3 | 82.35% |
| LAY_ST vs Xiaoyu | 10–6 | 62.50% |
| LAY_ST vs Lili | 11–3 | 78.57% |
| LAY_ST vs Reina | 12–2 | 85.71% |
| LAY_ST vs Lars | 8–3 | 72.73% |
| LAY_ST vs Devil Jin | 8–2 | 80.00% |
| LAY_ST vs Feng | 7–3 | 70.00% |
| LAY_ST vs Law | 6–3 | 66.67% |
| LAY_ST vs Steve | 9–0 | 100.00% |
| LAY_ST vs Heihachi | 8–1 | 88.89% |
| LAY_ST vs Armor King | 7–2 | 77.78% |
| LAY_ST vs Yoshimitsu | 5–3 | 62.50% |
| LAY_ST vs Alisa | 2–6 | 25.00% |
| LAY_ST vs Kuma | 7–1 | 87.50% |
| LAY_ST vs Raven | 6–2 | 75.00% |
| LAY_ST vs Claudio | 5–1 | 83.33% |
| LAY_ST vs Nina | 3–3 | 50.00% |
| LAY_ST vs Jun | 4–2 | 66.67% |
| LAY_ST vs Shaheen | 4–1 | 80.00% |
| LAY_ST vs Lee | 4–1 | 80.00% |
| LAY_ST vs Azucena | 4–1 | 80.00% |
| LAY_ST vs Lidia | 2–2 | 50.00% |
| LAY_ST vs Jack-8 | 2–1 | 66.67% |
| LAY_ST vs Leroy | 3–0 | 100.00% |
| LAY_ST vs Jin | 0–2 | 0.00% |
| LAY_ST vs Leo | 2–0 | 100.00% |
| LAY_ST vs Panda | 1–1 | 50.00% |
| LAY_ST vs Anna | 2–0 | 100.00% |
| LAY_ST vs Zafina | 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.