Name history
| AtWrkMiteBeAFK | |
| NoHands2Throw | |
| DancingDamage | |
| CallSignAmoré | |
| BallisticInkum | |
| SaneSaniSangria | |
| Play Nice Aunti | |
| NoRageArtPlease |
| AtWrkMiteBeAFK vs Eddy | 13–5 | 72.22% |
| AtWrkMiteBeAFK vs King | 10–6 | 62.50% |
| AtWrkMiteBeAFK vs Reina | 10–4 | 71.43% |
| AtWrkMiteBeAFK vs Law | 8–5 | 61.54% |
| AtWrkMiteBeAFK vs Jin | 9–4 | 69.23% |
| AtWrkMiteBeAFK vs Yoshimitsu | 7–5 | 58.33% |
| AtWrkMiteBeAFK vs Paul | 5–6 | 45.45% |
| AtWrkMiteBeAFK vs Leo | 8–3 | 72.73% |
| AtWrkMiteBeAFK vs Kazuya | 8–1 | 88.89% |
| AtWrkMiteBeAFK vs Hwoarang | 6–2 | 75.00% |
| AtWrkMiteBeAFK vs Lili | 6–2 | 75.00% |
| AtWrkMiteBeAFK vs Zafina | 5–3 | 62.50% |
| AtWrkMiteBeAFK vs Leroy | 7–1 | 87.50% |
| AtWrkMiteBeAFK vs Jun | 4–4 | 50.00% |
| AtWrkMiteBeAFK vs Steve | 5–2 | 71.43% |
| AtWrkMiteBeAFK vs Asuka | 6–1 | 85.71% |
| AtWrkMiteBeAFK vs Dragunov | 7–0 | 100.00% |
| AtWrkMiteBeAFK vs Lee | 3–4 | 42.86% |
| AtWrkMiteBeAFK vs Lars | 4–2 | 66.67% |
| AtWrkMiteBeAFK vs Xiaoyu | 3–2 | 60.00% |
| AtWrkMiteBeAFK vs Bryan | 3–2 | 60.00% |
| AtWrkMiteBeAFK vs Alisa | 3–1 | 75.00% |
| AtWrkMiteBeAFK vs Claudio | 3–1 | 75.00% |
| AtWrkMiteBeAFK vs Nina | 2–2 | 50.00% |
| AtWrkMiteBeAFK vs Raven | 1–2 | 33.33% |
| AtWrkMiteBeAFK vs Devil Jin | 2–0 | 100.00% |
| AtWrkMiteBeAFK vs Kuma | 2–0 | 100.00% |
| AtWrkMiteBeAFK vs Victor | 2–0 | 100.00% |
| AtWrkMiteBeAFK vs Lidia | 2–0 | 100.00% |
| AtWrkMiteBeAFK vs Heihachi | 1–1 | 50.00% |
| AtWrkMiteBeAFK vs Jack-8 | 1–0 | 100.00% |
| AtWrkMiteBeAFK vs Shaheen | 1–0 | 100.00% |
| AtWrkMiteBeAFK vs Panda | 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.