| T반F반진슥 vs Dragunov | 27–33 | 45.00% |
| T반F반진슥 vs King | 24–21 | 53.33% |
| T반F반진슥 vs Reina | 26–17 | 60.47% |
| T반F반진슥 vs Bryan | 21–16 | 56.76% |
| T반F반진슥 vs Steve | 13–19 | 40.62% |
| T반F반진슥 vs Kazuya | 12–19 | 38.71% |
| T반F반진슥 vs Hwoarang | 18–12 | 60.00% |
| T반F반진슥 vs Jin | 19–10 | 65.52% |
| T반F반진슥 vs Leo | 19–9 | 67.86% |
| T반F반진슥 vs Paul | 13–13 | 50.00% |
| T반F반진슥 vs Law | 17–8 | 68.00% |
| T반F반진슥 vs Xiaoyu | 13–12 | 52.00% |
| T반F반진슥 vs Azucena | 17–8 | 68.00% |
| T반F반진슥 vs Yoshimitsu | 12–11 | 52.17% |
| T반F반진슥 vs Lili | 16–7 | 69.57% |
| T반F반진슥 vs Devil Jin | 9–9 | 50.00% |
| T반F반진슥 vs Feng | 11–5 | 68.75% |
| T반F반진슥 vs Nina | 11–4 | 73.33% |
| T반F반진슥 vs Asuka | 8–6 | 57.14% |
| T반F반진슥 vs Fahkumram | 9–5 | 64.29% |
| T반F반진슥 vs Lars | 5–7 | 41.67% |
| T반F반진슥 vs Jun | 7–5 | 58.33% |
| T반F반진슥 vs Leroy | 6–5 | 54.55% |
| T반F반진슥 vs Victor | 6–5 | 54.55% |
| T반F반진슥 vs Eddy | 3–8 | 27.27% |
| T반F반진슥 vs Lee | 5–5 | 50.00% |
| T반F반진슥 vs Claudio | 7–2 | 77.78% |
| T반F반진슥 vs Jack-8 | 3–4 | 42.86% |
| T반F반진슥 vs Anna | 4–3 | 57.14% |
| T반F반진슥 vs Raven | 5–1 | 83.33% |
| T반F반진슥 vs Alisa | 3–2 | 60.00% |
| T반F반진슥 vs Heihachi | 3–2 | 60.00% |
| T반F반진슥 vs Zafina | 0–3 | 0.00% |
| T반F반진슥 vs Shaheen | 2–0 | 100.00% |
| T반F반진슥 vs Panda | 1–1 | 50.00% |
| T반F반진슥 vs Lidia | 0–2 | 0.00% |
| T반F반진슥 vs Kuma | 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.