| Suppercereal vs Steve | 20–26 | 43.48% |
| Suppercereal vs Reina | 21–22 | 48.84% |
| Suppercereal vs King | 18–16 | 52.94% |
| Suppercereal vs Jin | 17–14 | 54.84% |
| Suppercereal vs Lili | 20–11 | 64.52% |
| Suppercereal vs Bryan | 10–20 | 33.33% |
| Suppercereal vs Dragunov | 11–18 | 37.93% |
| Suppercereal vs Hwoarang | 9–17 | 34.62% |
| Suppercereal vs Jun | 12–8 | 60.00% |
| Suppercereal vs Fahkumram | 7–13 | 35.00% |
| Suppercereal vs Yoshimitsu | 14–5 | 73.68% |
| Suppercereal vs Kazuya | 11–8 | 57.89% |
| Suppercereal vs Asuka | 8–11 | 42.11% |
| Suppercereal vs Victor | 8–11 | 42.11% |
| Suppercereal vs Eddy | 9–9 | 50.00% |
| Suppercereal vs Heihachi | 9–6 | 60.00% |
| Suppercereal vs Law | 9–5 | 64.29% |
| Suppercereal vs Shaheen | 8–6 | 57.14% |
| Suppercereal vs Paul | 1–11 | 8.33% |
| Suppercereal vs Alisa | 4–8 | 33.33% |
| Suppercereal vs Lee | 9–3 | 75.00% |
| Suppercereal vs Clive | 2–10 | 16.67% |
| Suppercereal vs Lidia | 4–7 | 36.36% |
| Suppercereal vs Armor King | 5–5 | 50.00% |
| Suppercereal vs Devil Jin | 3–5 | 37.50% |
| Suppercereal vs Feng | 6–2 | 75.00% |
| Suppercereal vs Lars | 3–4 | 42.86% |
| Suppercereal vs Claudio | 4–3 | 57.14% |
| Suppercereal vs Zafina | 3–3 | 50.00% |
| Suppercereal vs Xiaoyu | 3–1 | 75.00% |
| Suppercereal vs Azucena | 4–0 | 100.00% |
| Suppercereal vs Jack-8 | 3–0 | 100.00% |
| Suppercereal vs Leo | 1–2 | 33.33% |
| Suppercereal vs Miary Zo | 2–1 | 66.67% |
| Suppercereal vs Nina | 0–2 | 0.00% |
| Suppercereal vs Kuma | 0–2 | 0.00% |
| Suppercereal vs Panda | 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.