| SuperSerr vs Kazuya | 73–73 | 50.00% |
| SuperSerr vs King | 57–73 | 43.85% |
| SuperSerr vs Jin | 47–65 | 41.96% |
| SuperSerr vs Hwoarang | 53–53 | 50.00% |
| SuperSerr vs Reina | 50–42 | 54.35% |
| SuperSerr vs Bryan | 40–43 | 48.19% |
| SuperSerr vs Steve | 44–38 | 53.66% |
| SuperSerr vs Lidia | 35–39 | 47.30% |
| SuperSerr vs Law | 41–31 | 56.94% |
| SuperSerr vs Eddy | 42–29 | 59.15% |
| SuperSerr vs Lili | 21–41 | 33.87% |
| SuperSerr vs Jun | 34–27 | 55.74% |
| SuperSerr vs Dragunov | 32–26 | 55.17% |
| SuperSerr vs Yoshimitsu | 33–22 | 60.00% |
| SuperSerr vs Paul | 24–30 | 44.44% |
| SuperSerr vs Victor | 24–29 | 45.28% |
| SuperSerr vs Heihachi | 21–31 | 40.38% |
| SuperSerr vs Devil Jin | 22–28 | 44.00% |
| SuperSerr vs Nina | 23–19 | 54.76% |
| SuperSerr vs Azucena | 22–19 | 53.66% |
| SuperSerr vs Asuka | 15–22 | 40.54% |
| SuperSerr vs Clive | 15–22 | 40.54% |
| SuperSerr vs Xiaoyu | 15–18 | 45.45% |
| SuperSerr vs Lars | 19–11 | 63.33% |
| SuperSerr vs Lee | 11–19 | 36.67% |
| SuperSerr vs Fahkumram | 13–16 | 44.83% |
| SuperSerr vs Claudio | 6–17 | 26.09% |
| SuperSerr vs Feng | 9–13 | 40.91% |
| SuperSerr vs Leo | 9–11 | 45.00% |
| SuperSerr vs Alisa | 14–4 | 77.78% |
| SuperSerr vs Jack-8 | 7–9 | 43.75% |
| SuperSerr vs Kuma | 9–5 | 64.29% |
| SuperSerr vs Leroy | 6–5 | 54.55% |
| SuperSerr vs Raven | 7–4 | 63.64% |
| SuperSerr vs Zafina | 4–5 | 44.44% |
| SuperSerr vs Shaheen | 1–5 | 16.67% |
| SuperSerr vs Anna | 0–4 | 0.00% |
| SuperSerr vs Panda | 0–2 | 0.00% |
| SuperSerr vs Armor King | 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.