| TTV_PurgeDogBit vs Reina | 13–16 | 44.83% |
| TTV_PurgeDogBit vs Fahkumram | 10–14 | 41.67% |
| TTV_PurgeDogBit vs Hwoarang | 8–11 | 42.11% |
| TTV_PurgeDogBit vs King | 6–6 | 50.00% |
| TTV_PurgeDogBit vs Jin | 5–7 | 41.67% |
| TTV_PurgeDogBit vs Victor | 9–3 | 75.00% |
| TTV_PurgeDogBit vs Lidia | 4–8 | 33.33% |
| TTV_PurgeDogBit vs Bryan | 3–8 | 27.27% |
| TTV_PurgeDogBit vs Steve | 7–4 | 63.64% |
| TTV_PurgeDogBit vs Dragunov | 4–7 | 36.36% |
| TTV_PurgeDogBit vs Xiaoyu | 4–6 | 40.00% |
| TTV_PurgeDogBit vs Paul | 5–4 | 55.56% |
| TTV_PurgeDogBit vs Lee | 2–6 | 25.00% |
| TTV_PurgeDogBit vs Kazuya | 5–2 | 71.43% |
| TTV_PurgeDogBit vs Feng | 2–5 | 28.57% |
| TTV_PurgeDogBit vs Alisa | 1–6 | 14.29% |
| TTV_PurgeDogBit vs Claudio | 0–7 | 0.00% |
| TTV_PurgeDogBit vs Eddy | 4–3 | 57.14% |
| TTV_PurgeDogBit vs Asuka | 4–2 | 66.67% |
| TTV_PurgeDogBit vs Azucena | 5–1 | 83.33% |
| TTV_PurgeDogBit vs Raven | 4–2 | 66.67% |
| TTV_PurgeDogBit vs Law | 2–3 | 40.00% |
| TTV_PurgeDogBit vs Leo | 2–2 | 50.00% |
| TTV_PurgeDogBit vs Shaheen | 4–0 | 100.00% |
| TTV_PurgeDogBit vs Jun | 2–2 | 50.00% |
| TTV_PurgeDogBit vs Lili | 1–2 | 33.33% |
| TTV_PurgeDogBit vs Yoshimitsu | 0–2 | 0.00% |
| TTV_PurgeDogBit vs Leroy | 0–2 | 0.00% |
| TTV_PurgeDogBit vs Heihachi | 0–2 | 0.00% |
| TTV_PurgeDogBit vs Clive | 0–2 | 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.