| TTVDawg_fgc vs Kazuya | 7–15 | 31.82% |
| TTVDawg_fgc vs Steve | 14–8 | 63.64% |
| TTVDawg_fgc vs Law | 16–3 | 84.21% |
| TTVDawg_fgc vs Dragunov | 12–5 | 70.59% |
| TTVDawg_fgc vs Reina | 8–9 | 47.06% |
| TTVDawg_fgc vs Jin | 10–6 | 62.50% |
| TTVDawg_fgc vs Bryan | 7–7 | 50.00% |
| TTVDawg_fgc vs Anna | 6–7 | 46.15% |
| TTVDawg_fgc vs Lars | 7–5 | 58.33% |
| TTVDawg_fgc vs King | 5–6 | 45.45% |
| TTVDawg_fgc vs Hwoarang | 8–3 | 72.73% |
| TTVDawg_fgc vs Lee | 5–6 | 45.45% |
| TTVDawg_fgc vs Yoshimitsu | 5–4 | 55.56% |
| TTVDawg_fgc vs Asuka | 3–6 | 33.33% |
| TTVDawg_fgc vs Lidia | 4–5 | 44.44% |
| TTVDawg_fgc vs Heihachi | 1–8 | 11.11% |
| TTVDawg_fgc vs Clive | 5–3 | 62.50% |
| TTVDawg_fgc vs Alisa | 7–0 | 100.00% |
| TTVDawg_fgc vs Shaheen | 5–2 | 71.43% |
| TTVDawg_fgc vs Panda | 3–4 | 42.86% |
| TTVDawg_fgc vs Eddy | 7–0 | 100.00% |
| TTVDawg_fgc vs Jack-8 | 3–3 | 50.00% |
| TTVDawg_fgc vs Paul | 0–5 | 0.00% |
| TTVDawg_fgc vs Xiaoyu | 4–1 | 80.00% |
| TTVDawg_fgc vs Lili | 3–2 | 60.00% |
| TTVDawg_fgc vs Leo | 3–2 | 60.00% |
| TTVDawg_fgc vs Leroy | 4–0 | 100.00% |
| TTVDawg_fgc vs Jun | 1–2 | 33.33% |
| TTVDawg_fgc vs Victor | 1–2 | 33.33% |
| TTVDawg_fgc vs Raven | 1–2 | 33.33% |
| TTVDawg_fgc vs Feng | 2–0 | 100.00% |
| TTVDawg_fgc vs Nina | 2–0 | 100.00% |
| TTVDawg_fgc vs Kuma | 0–2 | 0.00% |
| TTVDawg_fgc vs Azucena | 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.