| ANBU_Gimmick vs Kazuya | 23–15 | 60.53% |
| ANBU_Gimmick vs Jin | 23–14 | 62.16% |
| ANBU_Gimmick vs Lidia | 15–10 | 60.00% |
| ANBU_Gimmick vs Eddy | 12–11–1 | 52.17% |
| ANBU_Gimmick vs King | 5–14 | 26.32% |
| ANBU_Gimmick vs Steve | 11–7 | 61.11% |
| ANBU_Gimmick vs Reina | 9–9 | 50.00% |
| ANBU_Gimmick vs Bryan | 9–7 | 56.25% |
| ANBU_Gimmick vs Yoshimitsu | 7–8 | 46.67% |
| ANBU_Gimmick vs Xiaoyu | 10–5 | 66.67% |
| ANBU_Gimmick vs Dragunov | 7–7 | 50.00% |
| ANBU_Gimmick vs Law | 9–4 | 69.23% |
| ANBU_Gimmick vs Jun | 7–6 | 53.85% |
| ANBU_Gimmick vs Lili | 6–6 | 50.00% |
| ANBU_Gimmick vs Devil Jin | 4–6 | 40.00% |
| ANBU_Gimmick vs Raven | 5–5 | 50.00% |
| ANBU_Gimmick vs Paul | 3–6 | 33.33% |
| ANBU_Gimmick vs Hwoarang | 7–1 | 87.50% |
| ANBU_Gimmick vs Leo | 5–2 | 71.43% |
| ANBU_Gimmick vs Nina | 4–3 | 57.14% |
| ANBU_Gimmick vs Asuka | 4–2 | 66.67% |
| ANBU_Gimmick vs Lars | 2–4 | 33.33% |
| ANBU_Gimmick vs Claudio | 4–2 | 66.67% |
| ANBU_Gimmick vs Lee | 4–2 | 66.67% |
| ANBU_Gimmick vs Azucena | 4–2 | 66.67% |
| ANBU_Gimmick vs Jack-8 | 1–4 | 20.00% |
| ANBU_Gimmick vs Feng | 1–4 | 20.00% |
| ANBU_Gimmick vs Zafina | 4–1 | 80.00% |
| ANBU_Gimmick vs Leroy | 4–1 | 80.00% |
| ANBU_Gimmick vs Alisa | 3–1 | 75.00% |
| ANBU_Gimmick vs Panda | 2–2 | 50.00% |
| ANBU_Gimmick vs Victor | 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.