| BigSlime vs Heihachi | 56–60 | 48.28% |
| BigSlime vs Jin | 14–30 | 31.82% |
| BigSlime vs Kazuya | 20–24 | 45.45% |
| BigSlime vs Reina | 26–18 | 59.09% |
| BigSlime vs Steve | 28–14 | 66.67% |
| BigSlime vs Paul | 19–19 | 50.00% |
| BigSlime vs King | 17–19 | 47.22% |
| BigSlime vs Dragunov | 8–17 | 32.00% |
| BigSlime vs Yoshimitsu | 16–8 | 66.67% |
| BigSlime vs Lili | 7–16 | 30.43% |
| BigSlime vs Asuka | 13–7 | 65.00% |
| BigSlime vs Bryan | 14–4 | 77.78% |
| BigSlime vs Victor | 10–6 | 62.50% |
| BigSlime vs Hwoarang | 4–11 | 26.67% |
| BigSlime vs Law | 5–9 | 35.71% |
| BigSlime vs Jack-8 | 8–6 | 57.14% |
| BigSlime vs Xiaoyu | 6–7 | 46.15% |
| BigSlime vs Feng | 7–6 | 53.85% |
| BigSlime vs Leo | 5–8 | 38.46% |
| BigSlime vs Lidia | 6–7 | 46.15% |
| BigSlime vs Jun | 6–6 | 50.00% |
| BigSlime vs Zafina | 5–4 | 55.56% |
| BigSlime vs Raven | 5–2 | 71.43% |
| BigSlime vs Eddy | 2–5 | 28.57% |
| BigSlime vs Lee | 0–6 | 0.00% |
| BigSlime vs Lars | 3–2 | 60.00% |
| BigSlime vs Alisa | 2–3 | 40.00% |
| BigSlime vs Nina | 2–3 | 40.00% |
| BigSlime vs Leroy | 3–2 | 60.00% |
| BigSlime vs Claudio | 2–2 | 50.00% |
| BigSlime vs Shaheen | 2–1 | 66.67% |
| BigSlime vs Kuma | 1–2 | 33.33% |
| BigSlime vs Devil Jin | 2–0 | 100.00% |
| BigSlime vs Panda | 2–0 | 100.00% |
| BigSlime vs Azucena | 0–2 | 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.