| sigmaslayer2000 vs King | 5–7 | 41.67% |
| sigmaslayer2000 vs Clive | 4–7 | 36.36% |
| sigmaslayer2000 vs Law | 4–5 | 44.44% |
| sigmaslayer2000 vs Lars | 3–5 | 37.50% |
| sigmaslayer2000 vs Asuka | 6–1 | 85.71% |
| sigmaslayer2000 vs Reina | 3–4 | 42.86% |
| sigmaslayer2000 vs Xiaoyu | 6–0 | 100.00% |
| sigmaslayer2000 vs Bryan | 5–0 | 100.00% |
| sigmaslayer2000 vs Kazuya | 2–3 | 40.00% |
| sigmaslayer2000 vs Steve | 3–2 | 60.00% |
| sigmaslayer2000 vs Dragunov | 0–5 | 0.00% |
| sigmaslayer2000 vs Hwoarang | 4–0 | 100.00% |
| sigmaslayer2000 vs Jin | 0–4 | 0.00% |
| sigmaslayer2000 vs Victor | 3–1 | 75.00% |
| sigmaslayer2000 vs Lili | 1–2 | 33.33% |
| sigmaslayer2000 vs Alisa | 3–0 | 100.00% |
| sigmaslayer2000 vs Azucena | 0–3 | 0.00% |
| sigmaslayer2000 vs Leo | 1–1 | 50.00% |
| sigmaslayer2000 vs Shaheen | 1–1 | 50.00% |
| sigmaslayer2000 vs Nina | 0–2 | 0.00% |
| sigmaslayer2000 vs Kuma | 2–0 | 100.00% |
| sigmaslayer2000 vs Jun | 1–1 | 50.00% |
| sigmaslayer2000 vs Eddy | 1–1 | 50.00% |
| sigmaslayer2000 vs Lidia | 2–0 | 100.00% |
| sigmaslayer2000 vs Jack-8 | 0–1 | 0.00% |
| sigmaslayer2000 vs Devil Jin | 0–1 | 0.00% |
| sigmaslayer2000 vs Feng | 1–0 | 100.00% |
| sigmaslayer2000 vs Claudio | 0–1 | 0.00% |
| sigmaslayer2000 vs Lee | 1–0 | 100.00% |
| sigmaslayer2000 vs Leroy | 1–0 | 100.00% |
| sigmaslayer2000 vs Raven | 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.