| ytcc vs Armor King | 47–77 | 37.90% |
| ytcc vs King | 31–34 | 47.69% |
| ytcc vs Jin | 18–32 | 36.00% |
| ytcc vs Lidia | 20–18 | 52.63% |
| ytcc vs Law | 10–25 | 28.57% |
| ytcc vs Hwoarang | 15–19 | 44.12% |
| ytcc vs Jun | 11–22 | 33.33% |
| ytcc vs Kazuya | 15–16 | 48.39% |
| ytcc vs Yoshimitsu | 20–8 | 71.43% |
| ytcc vs Asuka | 12–14 | 46.15% |
| ytcc vs Bryan | 8–16 | 33.33% |
| ytcc vs Steve | 9–15 | 37.50% |
| ytcc vs Reina | 14–10 | 58.33% |
| ytcc vs Eddy | 16–7 | 69.57% |
| ytcc vs Lili | 11–11 | 50.00% |
| ytcc vs Devil Jin | 9–12 | 42.86% |
| ytcc vs Jack-8 | 10–8 | 55.56% |
| ytcc vs Alisa | 8–9 | 47.06% |
| ytcc vs Claudio | 4–13 | 23.53% |
| ytcc vs Dragunov | 5–11 | 31.25% |
| ytcc vs Lars | 7–9 | 43.75% |
| ytcc vs Azucena | 7–9 | 43.75% |
| ytcc vs Victor | 5–11 | 31.25% |
| ytcc vs Nina | 5–10 | 33.33% |
| ytcc vs Zafina | 6–9 | 40.00% |
| ytcc vs Xiaoyu | 9–4 | 69.23% |
| ytcc vs Lee | 7–6 | 53.85% |
| ytcc vs Fahkumram | 8–3 | 72.73% |
| ytcc vs Kuma | 3–6 | 33.33% |
| ytcc vs Raven | 5–4 | 55.56% |
| ytcc vs Feng | 3–5 | 37.50% |
| ytcc vs Clive | 5–2 | 71.43% |
| ytcc vs Shaheen | 6–0 | 100.00% |
| ytcc vs Heihachi | 0–5 | 0.00% |
| ytcc vs Anna | 3–2 | 60.00% |
| ytcc vs Paul | 3–1 | 75.00% |
| ytcc vs Leroy | 2–2 | 50.00% |
| ytcc vs Leo | 2–0 | 100.00% |
| ytcc vs Panda | 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.