| Slayer_30 vs King | 9–24 | 27.27% |
| Slayer_30 vs Reina | 16–15 | 51.61% |
| Slayer_30 vs Hwoarang | 12–18 | 40.00% |
| Slayer_30 vs Steve | 13–14 | 48.15% |
| Slayer_30 vs Miary Zo | 9–16 | 36.00% |
| Slayer_30 vs Jin | 8–15 | 34.78% |
| Slayer_30 vs Law | 11–10 | 52.38% |
| Slayer_30 vs Lidia | 6–10–1 | 37.50% |
| Slayer_30 vs Heihachi | 9–8 | 52.94% |
| Slayer_30 vs Bryan | 5–8 | 38.46% |
| Slayer_30 vs Lee | 6–7 | 46.15% |
| Slayer_30 vs Azucena | 6–7 | 46.15% |
| Slayer_30 vs Lars | 3–8 | 27.27% |
| Slayer_30 vs Paul | 5–5 | 50.00% |
| Slayer_30 vs Yoshimitsu | 6–4 | 60.00% |
| Slayer_30 vs Leroy | 6–4 | 60.00% |
| Slayer_30 vs Clive | 2–8 | 20.00% |
| Slayer_30 vs Victor | 7–2 | 77.78% |
| Slayer_30 vs Lili | 2–6 | 25.00% |
| Slayer_30 vs Jun | 2–6 | 25.00% |
| Slayer_30 vs Anna | 6–2 | 75.00% |
| Slayer_30 vs Jack-8 | 2–5 | 28.57% |
| Slayer_30 vs Raven | 5–2 | 71.43% |
| Slayer_30 vs Eddy | 0–7 | 0.00% |
| Slayer_30 vs Kazuya | 3–3 | 50.00% |
| Slayer_30 vs Asuka | 3–3 | 50.00% |
| Slayer_30 vs Dragunov | 1–5 | 16.67% |
| Slayer_30 vs Alisa | 2–3 | 40.00% |
| Slayer_30 vs Nina | 0–4 | 0.00% |
| Slayer_30 vs Fahkumram | 2–2 | 50.00% |
| Slayer_30 vs Armor King | 0–4 | 0.00% |
| Slayer_30 vs Shaheen | 2–1 | 66.67% |
| Slayer_30 vs Feng | 0–2 | 0.00% |
| Slayer_30 vs Leo | 0–2 | 0.00% |
| Slayer_30 vs Claudio | 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.