| StarScreem82 vs Armor King | 11–13 | 45.83% |
| StarScreem82 vs Law | 12–3 | 80.00% |
| StarScreem82 vs Kazuya | 12–3 | 80.00% |
| StarScreem82 vs Xiaoyu | 5–6 | 45.45% |
| StarScreem82 vs Jin | 6–5 | 54.55% |
| StarScreem82 vs Fahkumram | 6–4 | 60.00% |
| StarScreem82 vs Bryan | 3–6 | 33.33% |
| StarScreem82 vs Paul | 3–5 | 37.50% |
| StarScreem82 vs Lars | 7–1 | 87.50% |
| StarScreem82 vs Hwoarang | 7–0 | 100.00% |
| StarScreem82 vs Devil Jin | 4–3 | 57.14% |
| StarScreem82 vs Alisa | 6–1 | 85.71% |
| StarScreem82 vs Lidia | 4–2 | 66.67% |
| StarScreem82 vs Anna | 4–2 | 66.67% |
| StarScreem82 vs Reina | 4–1 | 80.00% |
| StarScreem82 vs Leo | 2–2 | 50.00% |
| StarScreem82 vs Nina | 2–2 | 50.00% |
| StarScreem82 vs Leroy | 3–1 | 75.00% |
| StarScreem82 vs Eddy | 4–0 | 100.00% |
| StarScreem82 vs Panda | 3–0 | 100.00% |
| StarScreem82 vs Zafina | 2–1 | 66.67% |
| StarScreem82 vs Azucena | 1–2 | 33.33% |
| StarScreem82 vs Raven | 1–2 | 33.33% |
| StarScreem82 vs King | 2–0 | 100.00% |
| StarScreem82 vs Asuka | 0–2 | 0.00% |
| StarScreem82 vs Shaheen | 2–0 | 100.00% |
| StarScreem82 vs Kuma | 2–0 | 100.00% |
| StarScreem82 vs Heihachi | 1–1 | 50.00% |
| StarScreem82 vs Clive | 2–0 | 100.00% |
| StarScreem82 vs Steve | 0–1 | 0.00% |
| StarScreem82 vs Lili | 1–0 | 100.00% |
| StarScreem82 vs Lee | 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.