| Thatsit_imDunn vs Law | 8–4 | 66.67% |
| Thatsit_imDunn vs Jin | 9–3 | 75.00% |
| Thatsit_imDunn vs King | 9–1 | 90.00% |
| Thatsit_imDunn vs Yoshimitsu | 8–2 | 80.00% |
| Thatsit_imDunn vs Jun | 7–3 | 70.00% |
| Thatsit_imDunn vs Reina | 9–1 | 90.00% |
| Thatsit_imDunn vs Victor | 4–6 | 40.00% |
| Thatsit_imDunn vs Hwoarang | 5–4 | 55.56% |
| Thatsit_imDunn vs Steve | 5–4 | 55.56% |
| Thatsit_imDunn vs Heihachi | 5–4 | 55.56% |
| Thatsit_imDunn vs Kazuya | 4–3 | 57.14% |
| Thatsit_imDunn vs Alisa | 4–3 | 57.14% |
| Thatsit_imDunn vs Eddy | 4–3 | 57.14% |
| Thatsit_imDunn vs Clive | 1–6 | 14.29% |
| Thatsit_imDunn vs Dragunov | 5–1 | 83.33% |
| Thatsit_imDunn vs Paul | 2–3 | 40.00% |
| Thatsit_imDunn vs Jack-8 | 3–2 | 60.00% |
| Thatsit_imDunn vs Nina | 1–4 | 20.00% |
| Thatsit_imDunn vs Feng | 2–2 | 50.00% |
| Thatsit_imDunn vs Leo | 2–2 | 50.00% |
| Thatsit_imDunn vs Bryan | 2–1 | 66.67% |
| Thatsit_imDunn vs Asuka | 3–0 | 100.00% |
| Thatsit_imDunn vs Lili | 2–1 | 66.67% |
| Thatsit_imDunn vs Kuma | 1–2 | 33.33% |
| Thatsit_imDunn vs Devil Jin | 0–2 | 0.00% |
| Thatsit_imDunn vs Lars | 2–0 | 100.00% |
| Thatsit_imDunn vs Claudio | 2–0 | 100.00% |
| Thatsit_imDunn vs Lee | 2–0 | 100.00% |
| Thatsit_imDunn vs Leroy | 2–0 | 100.00% |
| Thatsit_imDunn vs Raven | 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.