| ElmntUnc vs Reina | 5–5 | 50.00% |
| ElmntUnc vs Kuma | 2–3 | 40.00% |
| ElmntUnc vs Azucena | 3–2 | 60.00% |
| ElmntUnc vs King | 2–2 | 50.00% |
| ElmntUnc vs Lee | 2–2 | 50.00% |
| ElmntUnc vs Paul | 1–2 | 33.33% |
| ElmntUnc vs Steve | 2–1 | 66.67% |
| ElmntUnc vs Asuka | 0–3 | 0.00% |
| ElmntUnc vs Lars | 1–2 | 33.33% |
| ElmntUnc vs Jun | 1–2 | 33.33% |
| ElmntUnc vs Yoshimitsu | 0–2 | 0.00% |
| ElmntUnc vs Hwoarang | 2–0 | 100.00% |
| ElmntUnc vs Bryan | 2–0 | 100.00% |
| ElmntUnc vs Kazuya | 0–2 | 0.00% |
| ElmntUnc vs Alisa | 2–0 | 100.00% |
| ElmntUnc vs Nina | 2–0 | 100.00% |
| ElmntUnc vs Victor | 0–2 | 0.00% |
| ElmntUnc vs Panda | 1–0 | 100.00% |
| ElmntUnc vs Leroy | 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.