| Scootles vs Bryan | 26–25 | 50.98% |
| Scootles vs Lili | 21–24 | 46.67% |
| Scootles vs Paul | 23–16 | 58.97% |
| Scootles vs Steve | 16–19 | 45.71% |
| Scootles vs Hwoarang | 15–19 | 44.12% |
| Scootles vs Kazuya | 20–14 | 58.82% |
| Scootles vs Lee | 20–13 | 60.61% |
| Scootles vs Dragunov | 14–18 | 43.75% |
| Scootles vs Jin | 19–11 | 63.33% |
| Scootles vs King | 16–9 | 64.00% |
| Scootles vs Feng | 15–8 | 65.22% |
| Scootles vs Reina | 16–7 | 69.57% |
| Scootles vs Xiaoyu | 13–7 | 65.00% |
| Scootles vs Devil Jin | 11–9 | 55.00% |
| Scootles vs Kuma | 13–7 | 65.00% |
| Scootles vs Lars | 12–7 | 63.16% |
| Scootles vs Yoshimitsu | 6–12 | 33.33% |
| Scootles vs Shaheen | 9–9 | 50.00% |
| Scootles vs Jun | 11–6 | 64.71% |
| Scootles vs Jack-8 | 9–7 | 56.25% |
| Scootles vs Eddy | 3–10 | 23.08% |
| Scootles vs Law | 6–6 | 50.00% |
| Scootles vs Alisa | 7–4 | 63.64% |
| Scootles vs Asuka | 4–6 | 40.00% |
| Scootles vs Leroy | 7–3 | 70.00% |
| Scootles vs Victor | 6–4 | 60.00% |
| Scootles vs Claudio | 3–6 | 33.33% |
| Scootles vs Zafina | 3–6 | 33.33% |
| Scootles vs Raven | 9–0 | 100.00% |
| Scootles vs Lidia | 3–4 | 42.86% |
| Scootles vs Nina | 4–2 | 66.67% |
| Scootles vs Panda | 3–2 | 60.00% |
| Scootles vs Azucena | 1–4 | 20.00% |
| Scootles vs Heihachi | 1–3 | 25.00% |
| Scootles vs Leo | 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.