| Teriyaki_Chix32 vs King | 12–15 | 44.44% |
| Teriyaki_Chix32 vs Steve | 6–9 | 40.00% |
| Teriyaki_Chix32 vs Lars | 6–7 | 46.15% |
| Teriyaki_Chix32 vs Miary Zo | 6–7 | 46.15% |
| Teriyaki_Chix32 vs Jin | 5–7 | 41.67% |
| Teriyaki_Chix32 vs Kazuya | 3–9 | 25.00% |
| Teriyaki_Chix32 vs Lee | 4–6 | 40.00% |
| Teriyaki_Chix32 vs Law | 2–7 | 22.22% |
| Teriyaki_Chix32 vs Azucena | 4–5 | 44.44% |
| Teriyaki_Chix32 vs Victor | 1–8 | 11.11% |
| Teriyaki_Chix32 vs Armor King | 5–4 | 55.56% |
| Teriyaki_Chix32 vs Lidia | 0–8 | 0.00% |
| Teriyaki_Chix32 vs Clive | 5–3 | 62.50% |
| Teriyaki_Chix32 vs Hwoarang | 2–5 | 28.57% |
| Teriyaki_Chix32 vs Dragunov | 7–0 | 100.00% |
| Teriyaki_Chix32 vs Reina | 3–4 | 42.86% |
| Teriyaki_Chix32 vs Eddy | 3–4 | 42.86% |
| Teriyaki_Chix32 vs Heihachi | 3–4 | 42.86% |
| Teriyaki_Chix32 vs Lili | 2–3 | 40.00% |
| Teriyaki_Chix32 vs Alisa | 1–4 | 20.00% |
| Teriyaki_Chix32 vs Jun | 2–3 | 40.00% |
| Teriyaki_Chix32 vs Anna | 1–4 | 20.00% |
| Teriyaki_Chix32 vs Xiaoyu | 0–4 | 0.00% |
| Teriyaki_Chix32 vs Bryan | 3–1 | 75.00% |
| Teriyaki_Chix32 vs Shaheen | 3–1 | 75.00% |
| Teriyaki_Chix32 vs Leroy | 2–2 | 50.00% |
| Teriyaki_Chix32 vs Raven | 2–2 | 50.00% |
| Teriyaki_Chix32 vs Leo | 3–0 | 100.00% |
| Teriyaki_Chix32 vs Nina | 1–2 | 33.33% |
| Teriyaki_Chix32 vs Fahkumram | 0–3 | 0.00% |
| Teriyaki_Chix32 vs Yoshimitsu | 0–2 | 0.00% |
| Teriyaki_Chix32 vs Feng | 0–2 | 0.00% |
| Teriyaki_Chix32 vs Claudio | 0–2 | 0.00% |
| Teriyaki_Chix32 vs Paul | 0–1 | 0.00% |
| Teriyaki_Chix32 vs Jack-8 | 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.