| ttv/p4f77 vs King | 22–42 | 34.38% |
| ttv/p4f77 vs Jin | 24–37 | 39.34% |
| ttv/p4f77 vs Kazuya | 25–33 | 43.10% |
| ttv/p4f77 vs Reina | 24–25 | 48.98% |
| ttv/p4f77 vs Bryan | 14–25 | 35.90% |
| ttv/p4f77 vs Hwoarang | 15–19 | 44.12% |
| ttv/p4f77 vs Steve | 16–18 | 47.06% |
| ttv/p4f77 vs Lili | 14–19 | 42.42% |
| ttv/p4f77 vs Jun | 19–12 | 61.29% |
| ttv/p4f77 vs Azucena | 15–14 | 51.72% |
| ttv/p4f77 vs Law | 9–18 | 33.33% |
| ttv/p4f77 vs Lee | 10–17 | 37.04% |
| ttv/p4f77 vs Heihachi | 13–14 | 48.15% |
| ttv/p4f77 vs Devil Jin | 5–21 | 19.23% |
| ttv/p4f77 vs Asuka | 9–14 | 39.13% |
| ttv/p4f77 vs Dragunov | 9–12 | 42.86% |
| ttv/p4f77 vs Eddy | 4–17 | 19.05% |
| ttv/p4f77 vs Xiaoyu | 9–11 | 45.00% |
| ttv/p4f77 vs Yoshimitsu | 5–14 | 26.32% |
| ttv/p4f77 vs Leo | 11–7 | 61.11% |
| ttv/p4f77 vs Leroy | 5–10 | 33.33% |
| ttv/p4f77 vs Victor | 6–9 | 40.00% |
| ttv/p4f77 vs Paul | 6–8 | 42.86% |
| ttv/p4f77 vs Nina | 8–5 | 61.54% |
| ttv/p4f77 vs Alisa | 5–7 | 41.67% |
| ttv/p4f77 vs Claudio | 4–7 | 36.36% |
| ttv/p4f77 vs Lidia | 5–6 | 45.45% |
| ttv/p4f77 vs Feng | 2–8 | 20.00% |
| ttv/p4f77 vs Jack-8 | 5–4 | 55.56% |
| ttv/p4f77 vs Kuma | 2–4 | 33.33% |
| ttv/p4f77 vs Clive | 3–1 | 75.00% |
| ttv/p4f77 vs Zafina | 1–2 | 33.33% |
| ttv/p4f77 vs Lars | 0–2 | 0.00% |
| ttv/p4f77 vs Panda | 2–0 | 100.00% |
| ttv/p4f77 vs Raven | 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.