| @gaming-TGD vs Kazuya | 36–14 | 72.00% |
| @gaming-TGD vs Hwoarang | 20–15 | 57.14% |
| @gaming-TGD vs Jin | 23–9 | 71.88% |
| @gaming-TGD vs Bryan | 24–7 | 77.42% |
| @gaming-TGD vs Yoshimitsu | 21–9 | 70.00% |
| @gaming-TGD vs King | 20–9 | 68.97% |
| @gaming-TGD vs Law | 25–3 | 89.29% |
| @gaming-TGD vs Heihachi | 19–7 | 73.08% |
| @gaming-TGD vs Dragunov | 15–9 | 62.50% |
| @gaming-TGD vs Reina | 15–8 | 65.22% |
| @gaming-TGD vs Lili | 17–3 | 85.00% |
| @gaming-TGD vs Feng | 15–4 | 78.95% |
| @gaming-TGD vs Jun | 15–4 | 78.95% |
| @gaming-TGD vs Paul | 10–7 | 58.82% |
| @gaming-TGD vs Lee | 7–10 | 41.18% |
| @gaming-TGD vs Lidia | 12–5 | 70.59% |
| @gaming-TGD vs Clive | 9–6 | 60.00% |
| @gaming-TGD vs Asuka | 11–3 | 78.57% |
| @gaming-TGD vs Devil Jin | 8–6 | 57.14% |
| @gaming-TGD vs Armor King | 8–6 | 57.14% |
| @gaming-TGD vs Steve | 9–3 | 75.00% |
| @gaming-TGD vs Lars | 9–3 | 75.00% |
| @gaming-TGD vs Alisa | 7–2 | 77.78% |
| @gaming-TGD vs Raven | 4–5 | 44.44% |
| @gaming-TGD vs Leo | 6–2 | 75.00% |
| @gaming-TGD vs Kuma | 6–1 | 85.71% |
| @gaming-TGD vs Leroy | 7–0 | 100.00% |
| @gaming-TGD vs Victor | 4–3 | 57.14% |
| @gaming-TGD vs Fahkumram | 2–5 | 28.57% |
| @gaming-TGD vs Azucena | 2–4 | 33.33% |
| @gaming-TGD vs Eddy | 3–2 | 60.00% |
| @gaming-TGD vs Shaheen | 0–4 | 0.00% |
| @gaming-TGD vs Nina | 3–1 | 75.00% |
| @gaming-TGD vs Panda | 2–2 | 50.00% |
| @gaming-TGD vs Jack-8 | 2–1 | 66.67% |
| @gaming-TGD vs Claudio | 2–1 | 66.67% |
| @gaming-TGD vs Xiaoyu | 1–1 | 50.00% |
| @gaming-TGD vs Anna | 2–0 | 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.