| IM THAT AGGIN vs Jin | 17–11 | 60.71% |
| IM THAT AGGIN vs Reina | 16–4 | 80.00% |
| IM THAT AGGIN vs Hwoarang | 12–7 | 63.16% |
| IM THAT AGGIN vs Clive | 12–7 | 63.16% |
| IM THAT AGGIN vs Lars | 8–9 | 47.06% |
| IM THAT AGGIN vs Jun | 8–5 | 61.54% |
| IM THAT AGGIN vs Bryan | 4–8 | 33.33% |
| IM THAT AGGIN vs Asuka | 8–2 | 80.00% |
| IM THAT AGGIN vs King | 3–5 | 37.50% |
| IM THAT AGGIN vs Kazuya | 4–4 | 50.00% |
| IM THAT AGGIN vs Steve | 5–3 | 62.50% |
| IM THAT AGGIN vs Lee | 6–2 | 75.00% |
| IM THAT AGGIN vs Raven | 5–3 | 62.50% |
| IM THAT AGGIN vs Paul | 4–3 | 57.14% |
| IM THAT AGGIN vs Leo | 5–2 | 71.43% |
| IM THAT AGGIN vs Heihachi | 5–2 | 71.43% |
| IM THAT AGGIN vs Yoshimitsu | 4–2 | 66.67% |
| IM THAT AGGIN vs Nina | 3–2 | 60.00% |
| IM THAT AGGIN vs Victor | 2–3 | 40.00% |
| IM THAT AGGIN vs Lidia | 2–3 | 40.00% |
| IM THAT AGGIN vs Fahkumram | 4–1 | 80.00% |
| IM THAT AGGIN vs Lili | 3–1 | 75.00% |
| IM THAT AGGIN vs Dragunov | 1–3 | 25.00% |
| IM THAT AGGIN vs Claudio | 0–4 | 0.00% |
| IM THAT AGGIN vs Kuma | 0–4 | 0.00% |
| IM THAT AGGIN vs Leroy | 2–2 | 50.00% |
| IM THAT AGGIN vs Xiaoyu | 3–0 | 100.00% |
| IM THAT AGGIN vs Jack-8 | 1–2 | 33.33% |
| IM THAT AGGIN vs Zafina | 1–2 | 33.33% |
| IM THAT AGGIN vs Azucena | 3–0 | 100.00% |
| IM THAT AGGIN vs Anna | 1–2 | 33.33% |
| IM THAT AGGIN vs Armor King | 1–2 | 33.33% |
| IM THAT AGGIN vs Miary Zo | 1–2 | 33.33% |
| IM THAT AGGIN vs Law | 0–2 | 0.00% |
| IM THAT AGGIN vs Devil Jin | 2–0 | 100.00% |
| IM THAT AGGIN vs Eddy | 1–1 | 50.00% |
| IM THAT AGGIN vs Feng | 1–0 | 100.00% |
| IM THAT AGGIN vs Panda | 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.