| Big_Doodle vs Law | 2–4 | 33.33% |
| Big_Doodle vs Hwoarang | 1–5 | 16.67% |
| Big_Doodle vs Steve | 2–4 | 33.33% |
| Big_Doodle vs Lili | 5–1 | 83.33% |
| Big_Doodle vs Lee | 2–4 | 33.33% |
| Big_Doodle vs Asuka | 0–4 | 0.00% |
| Big_Doodle vs Lars | 3–1 | 75.00% |
| Big_Doodle vs Jun | 2–2 | 50.00% |
| Big_Doodle vs Victor | 1–3 | 25.00% |
| Big_Doodle vs Heihachi | 1–3 | 25.00% |
| Big_Doodle vs Xiaoyu | 2–1 | 66.67% |
| Big_Doodle vs Jin | 1–2 | 33.33% |
| Big_Doodle vs Alisa | 1–2 | 33.33% |
| Big_Doodle vs Azucena | 1–2 | 33.33% |
| Big_Doodle vs King | 0–2 | 0.00% |
| Big_Doodle vs Yoshimitsu | 2–0 | 100.00% |
| Big_Doodle vs Dragunov | 0–2 | 0.00% |
| Big_Doodle vs Shaheen | 0–2 | 0.00% |
| Big_Doodle vs Nina | 0–2 | 0.00% |
| Big_Doodle vs Kuma | 0–2 | 0.00% |
| Big_Doodle vs Bryan | 0–1 | 0.00% |
| Big_Doodle vs Lidia | 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.