| TDG丨芝士雪豹 vs Steve | 11–14 | 44.00% |
| TDG丨芝士雪豹 vs Dragunov | 13–11 | 54.17% |
| TDG丨芝士雪豹 vs Kazuya | 12–9 | 57.14% |
| TDG丨芝士雪豹 vs Reina | 10–10 | 50.00% |
| TDG丨芝士雪豹 vs King | 7–12 | 36.84% |
| TDG丨芝士雪豹 vs Jin | 6–13 | 31.58% |
| TDG丨芝士雪豹 vs Paul | 7–9 | 43.75% |
| TDG丨芝士雪豹 vs Lili | 7–8 | 46.67% |
| TDG丨芝士雪豹 vs Hwoarang | 6–8 | 42.86% |
| TDG丨芝士雪豹 vs Feng | 5–8 | 38.46% |
| TDG丨芝士雪豹 vs Victor | 6–7 | 46.15% |
| TDG丨芝士雪豹 vs Lidia | 8–4 | 66.67% |
| TDG丨芝士雪豹 vs Bryan | 5–6 | 45.45% |
| TDG丨芝士雪豹 vs Devil Jin | 3–7 | 30.00% |
| TDG丨芝士雪豹 vs Claudio | 4–6 | 40.00% |
| TDG丨芝士雪豹 vs Law | 6–3 | 66.67% |
| TDG丨芝士雪豹 vs Asuka | 5–4 | 55.56% |
| TDG丨芝士雪豹 vs Alisa | 6–3 | 66.67% |
| TDG丨芝士雪豹 vs Yoshimitsu | 3–4 | 42.86% |
| TDG丨芝士雪豹 vs Eddy | 4–3 | 57.14% |
| TDG丨芝士雪豹 vs Xiaoyu | 3–3 | 50.00% |
| TDG丨芝士雪豹 vs Jack-8 | 4–2 | 66.67% |
| TDG丨芝士雪豹 vs Kuma | 3–3 | 50.00% |
| TDG丨芝士雪豹 vs Jun | 3–3 | 50.00% |
| TDG丨芝士雪豹 vs Azucena | 5–1 | 83.33% |
| TDG丨芝士雪豹 vs Lars | 1–4 | 20.00% |
| TDG丨芝士雪豹 vs Zafina | 3–2 | 60.00% |
| TDG丨芝士雪豹 vs Nina | 4–0 | 100.00% |
| TDG丨芝士雪豹 vs Heihachi | 4–0 | 100.00% |
| TDG丨芝士雪豹 vs Clive | 0–3 | 0.00% |
| TDG丨芝士雪豹 vs Panda | 2–0 | 100.00% |
| TDG丨芝士雪豹 vs Leroy | 1–1 | 50.00% |
| TDG丨芝士雪豹 vs Anna | 2–0 | 100.00% |
| TDG丨芝士雪豹 vs Leo | 0–1 | 0.00% |
| TDG丨芝士雪豹 vs Shaheen | 0–1 | 0.00% |
| TDG丨芝士雪豹 vs Lee | 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.