| EinsTaschenuhr vs Lidia | 23–15 | 60.53% |
| EinsTaschenuhr vs Jin | 21–9 | 70.00% |
| EinsTaschenuhr vs Kazuya | 18–10 | 64.29% |
| EinsTaschenuhr vs Clive | 15–9 | 62.50% |
| EinsTaschenuhr vs Devil Jin | 6–11 | 35.29% |
| EinsTaschenuhr vs Hwoarang | 11–4 | 73.33% |
| EinsTaschenuhr vs Bryan | 8–7 | 53.33% |
| EinsTaschenuhr vs Eddy | 8–7 | 53.33% |
| EinsTaschenuhr vs Yoshimitsu | 10–4 | 71.43% |
| EinsTaschenuhr vs Law | 5–8 | 38.46% |
| EinsTaschenuhr vs Reina | 12–0 | 100.00% |
| EinsTaschenuhr vs King | 8–3 | 72.73% |
| EinsTaschenuhr vs Steve | 4–7 | 36.36% |
| EinsTaschenuhr vs Leroy | 4–6 | 40.00% |
| EinsTaschenuhr vs Feng | 6–3 | 66.67% |
| EinsTaschenuhr vs Lili | 7–2 | 77.78% |
| EinsTaschenuhr vs Claudio | 8–1 | 88.89% |
| EinsTaschenuhr vs Nina | 4–4 | 50.00% |
| EinsTaschenuhr vs Zafina | 5–3 | 62.50% |
| EinsTaschenuhr vs Paul | 4–2 | 66.67% |
| EinsTaschenuhr vs Xiaoyu | 0–6 | 0.00% |
| EinsTaschenuhr vs Dragunov | 4–2 | 66.67% |
| EinsTaschenuhr vs Azucena | 6–0 | 100.00% |
| EinsTaschenuhr vs Jun | 3–1 | 75.00% |
| EinsTaschenuhr vs Jack-8 | 1–2 | 33.33% |
| EinsTaschenuhr vs Asuka | 1–1 | 50.00% |
| EinsTaschenuhr vs Lee | 2–0 | 100.00% |
| EinsTaschenuhr vs Kuma | 1–1 | 50.00% |
| EinsTaschenuhr vs Victor | 2–0 | 100.00% |
| EinsTaschenuhr vs Raven | 0–2 | 0.00% |
| EinsTaschenuhr vs Alisa | 0–1 | 0.00% |
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.