| notcheynneYT vs Bryan | 11–7 | 61.11% |
| notcheynneYT vs Dragunov | 9–7 | 56.25% |
| notcheynneYT vs Kazuya | 11–2 | 84.62% |
| notcheynneYT vs Reina | 8–5 | 61.54% |
| notcheynneYT vs King | 11–1 | 91.67% |
| notcheynneYT vs Azucena | 9–3 | 75.00% |
| notcheynneYT vs Jun | 8–3 | 72.73% |
| notcheynneYT vs Paul | 6–4 | 60.00% |
| notcheynneYT vs Lili | 8–1 | 88.89% |
| notcheynneYT vs Heihachi | 6–3 | 66.67% |
| notcheynneYT vs Law | 6–2 | 75.00% |
| notcheynneYT vs Xiaoyu | 5–3 | 62.50% |
| notcheynneYT vs Eddy | 4–4 | 50.00% |
| notcheynneYT vs Hwoarang | 6–1 | 85.71% |
| notcheynneYT vs Devil Jin | 5–2 | 71.43% |
| notcheynneYT vs Lee | 7–0 | 100.00% |
| notcheynneYT vs Lidia | 5–2 | 71.43% |
| notcheynneYT vs Zafina | 4–2 | 66.67% |
| notcheynneYT vs Jin | 1–4 | 20.00% |
| notcheynneYT vs Lars | 1–4 | 20.00% |
| notcheynneYT vs Nina | 3–2 | 60.00% |
| notcheynneYT vs Steve | 2–2 | 50.00% |
| notcheynneYT vs Leroy | 2–2 | 50.00% |
| notcheynneYT vs Yoshimitsu | 2–1 | 66.67% |
| notcheynneYT vs Leo | 1–2 | 33.33% |
| notcheynneYT vs Claudio | 2–1 | 66.67% |
| notcheynneYT vs Shaheen | 0–3 | 0.00% |
| notcheynneYT vs Jack-8 | 0–2 | 0.00% |
| notcheynneYT vs Kuma | 0–2 | 0.00% |
| notcheynneYT vs Fahkumram | 2–0 | 100.00% |
| notcheynneYT vs Asuka | 1–0 | 100.00% |
| notcheynneYT vs Alisa | 1–0 | 100.00% |
| notcheynneYT vs Clive | 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.