| sibalcut vs Bryan | 14–17 | 45.16% |
| sibalcut vs Lili | 20–11 | 64.52% |
| sibalcut vs Heihachi | 11–18 | 37.93% |
| sibalcut vs Kazuya | 15–11 | 57.69% |
| sibalcut vs Paul | 16–6 | 72.73% |
| sibalcut vs Jin | 10–8 | 55.56% |
| sibalcut vs King | 11–6 | 64.71% |
| sibalcut vs Feng | 7–10 | 41.18% |
| sibalcut vs Hwoarang | 9–7 | 56.25% |
| sibalcut vs Devil Jin | 9–7 | 56.25% |
| sibalcut vs Dragunov | 6–9 | 40.00% |
| sibalcut vs Lee | 7–8 | 46.67% |
| sibalcut vs Reina | 9–6 | 60.00% |
| sibalcut vs Claudio | 9–3 | 75.00% |
| sibalcut vs Alisa | 8–3 | 72.73% |
| sibalcut vs Yoshimitsu | 7–3 | 70.00% |
| sibalcut vs Xiaoyu | 7–3 | 70.00% |
| sibalcut vs Miary Zo | 5–5 | 50.00% |
| sibalcut vs Asuka | 6–3 | 66.67% |
| sibalcut vs Azucena | 5–4 | 55.56% |
| sibalcut vs Raven | 4–5 | 44.44% |
| sibalcut vs Law | 6–2 | 75.00% |
| sibalcut vs Steve | 6–2 | 75.00% |
| sibalcut vs Jack-8 | 2–6 | 25.00% |
| sibalcut vs Nina | 6–2 | 75.00% |
| sibalcut vs Lars | 4–2 | 66.67% |
| sibalcut vs Jun | 5–1 | 83.33% |
| sibalcut vs Victor | 2–3 | 40.00% |
| sibalcut vs Kuma | 1–2 | 33.33% |
| sibalcut vs Zafina | 1–2 | 33.33% |
| sibalcut vs Shaheen | 2–0 | 100.00% |
| sibalcut vs Panda | 2–0 | 100.00% |
| sibalcut vs Eddy | 0–2 | 0.00% |
| sibalcut vs Anna | 0–2 | 0.00% |
| sibalcut vs Leroy | 1–0 | 100.00% |
| sibalcut vs Clive | 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.