| Scary_Lobsters vs Lidia | 12–19 | 38.71% |
| Scary_Lobsters vs King | 15–14 | 51.72% |
| Scary_Lobsters vs Kazuya | 14–14 | 50.00% |
| Scary_Lobsters vs Reina | 12–14 | 46.15% |
| Scary_Lobsters vs Dragunov | 6–16 | 27.27% |
| Scary_Lobsters vs Azucena | 6–15 | 28.57% |
| Scary_Lobsters vs Jun | 3–13 | 18.75% |
| Scary_Lobsters vs Lili | 6–9 | 40.00% |
| Scary_Lobsters vs Jin | 5–7–1 | 41.67% |
| Scary_Lobsters vs Leroy | 5–8 | 38.46% |
| Scary_Lobsters vs Yoshimitsu | 3–9 | 25.00% |
| Scary_Lobsters vs Xiaoyu | 7–5 | 58.33% |
| Scary_Lobsters vs Victor | 4–8 | 33.33% |
| Scary_Lobsters vs Hwoarang | 0–11 | 0.00% |
| Scary_Lobsters vs Bryan | 4–7 | 36.36% |
| Scary_Lobsters vs Steve | 4–5 | 44.44% |
| Scary_Lobsters vs Asuka | 3–6 | 33.33% |
| Scary_Lobsters vs Eddy | 3–6 | 33.33% |
| Scary_Lobsters vs Lars | 1–7 | 12.50% |
| Scary_Lobsters vs Law | 2–5 | 28.57% |
| Scary_Lobsters vs Feng | 2–5 | 28.57% |
| Scary_Lobsters vs Lee | 3–4 | 42.86% |
| Scary_Lobsters vs Leo | 3–3 | 50.00% |
| Scary_Lobsters vs Nina | 1–5 | 16.67% |
| Scary_Lobsters vs Kuma | 1–4 | 20.00% |
| Scary_Lobsters vs Paul | 1–3 | 25.00% |
| Scary_Lobsters vs Claudio | 0–4 | 0.00% |
| Scary_Lobsters vs Devil Jin | 0–2 | 0.00% |
| Scary_Lobsters vs Alisa | 2–0 | 100.00% |
| Scary_Lobsters vs Shaheen | 2–0 | 100.00% |
| Scary_Lobsters vs Zafina | 1–0 | 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.