| Yangkips vs King | 24–31 | 43.64% |
| Yangkips vs Jin | 25–21 | 54.35% |
| Yangkips vs Jun | 21–25 | 45.65% |
| Yangkips vs Kazuya | 19–19 | 50.00% |
| Yangkips vs Reina | 15–20 | 42.86% |
| Yangkips vs Dragunov | 18–16 | 52.94% |
| Yangkips vs Bryan | 15–13 | 53.57% |
| Yangkips vs Steve | 15–11 | 57.69% |
| Yangkips vs Lee | 15–11 | 57.69% |
| Yangkips vs Paul | 9–15 | 37.50% |
| Yangkips vs Hwoarang | 11–12 | 47.83% |
| Yangkips vs Eddy | 9–14 | 39.13% |
| Yangkips vs Lidia | 15–8 | 65.22% |
| Yangkips vs Lili | 10–11 | 47.62% |
| Yangkips vs Victor | 11–8 | 57.89% |
| Yangkips vs Kuma | 11–7 | 61.11% |
| Yangkips vs Xiaoyu | 14–3 | 82.35% |
| Yangkips vs Lars | 8–9 | 47.06% |
| Yangkips vs Asuka | 7–9 | 43.75% |
| Yangkips vs Claudio | 8–7–1 | 53.33% |
| Yangkips vs Alisa | 5–10 | 33.33% |
| Yangkips vs Azucena | 7–8 | 46.67% |
| Yangkips vs Yoshimitsu | 7–5 | 58.33% |
| Yangkips vs Devil Jin | 5–7 | 41.67% |
| Yangkips vs Feng | 2–10 | 16.67% |
| Yangkips vs Nina | 6–6 | 50.00% |
| Yangkips vs Leo | 6–5 | 54.55% |
| Yangkips vs Panda | 7–3 | 70.00% |
| Yangkips vs Leroy | 5–5 | 50.00% |
| Yangkips vs Law | 1–8 | 11.11% |
| Yangkips vs Zafina | 4–4 | 50.00% |
| Yangkips vs Jack-8 | 6–1 | 85.71% |
| Yangkips vs Raven | 4–0 | 100.00% |
| Yangkips vs Shaheen | 2–1 | 66.67% |
| Yangkips vs Heihachi | 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.