| docIRL vs Reina | 2–4 | 33.33% |
| docIRL vs Kazuya | 2–4 | 33.33% |
| docIRL vs Jin | 0–4 | 0.00% |
| docIRL vs Azucena | 2–2 | 50.00% |
| docIRL vs Hwoarang | 0–4 | 0.00% |
| docIRL vs Devil Jin | 1–3 | 25.00% |
| docIRL vs Victor | 1–3 | 25.00% |
| docIRL vs King | 0–3 | 0.00% |
| docIRL vs Alisa | 0–3 | 0.00% |
| docIRL vs Xiaoyu | 2–1 | 66.67% |
| docIRL vs Lars | 1–2 | 33.33% |
| docIRL vs Lee | 2–1 | 66.67% |
| docIRL vs Paul | 0–2 | 0.00% |
| docIRL vs Bryan | 1–1 | 50.00% |
| docIRL vs Law | 2–0 | 100.00% |
| docIRL vs Steve | 0–2 | 0.00% |
| docIRL vs Feng | 2–0 | 100.00% |
| docIRL vs Eddy | 0–2 | 0.00% |
| docIRL vs Lili | 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.