| Yalongzhing vs Kazuya | 15–22 | 40.54% |
| Yalongzhing vs Steve | 17–13 | 56.67% |
| Yalongzhing vs Jin | 12–14 | 46.15% |
| Yalongzhing vs Law | 9–16 | 36.00% |
| Yalongzhing vs Dragunov | 11–14 | 44.00% |
| Yalongzhing vs Reina | 15–9 | 62.50% |
| Yalongzhing vs King | 9–11 | 45.00% |
| Yalongzhing vs Lidia | 4–16 | 20.00% |
| Yalongzhing vs Bryan | 10–9 | 52.63% |
| Yalongzhing vs Victor | 11–7 | 61.11% |
| Yalongzhing vs Asuka | 1–16 | 5.88% |
| Yalongzhing vs Yoshimitsu | 5–10 | 33.33% |
| Yalongzhing vs Devil Jin | 5–9 | 35.71% |
| Yalongzhing vs Lili | 6–8 | 42.86% |
| Yalongzhing vs Azucena | 6–7 | 46.15% |
| Yalongzhing vs Paul | 5–7 | 41.67% |
| Yalongzhing vs Hwoarang | 8–4 | 66.67% |
| Yalongzhing vs Alisa | 6–5 | 54.55% |
| Yalongzhing vs Jun | 4–6 | 40.00% |
| Yalongzhing vs Feng | 6–2 | 75.00% |
| Yalongzhing vs Kuma | 4–3 | 57.14% |
| Yalongzhing vs Xiaoyu | 2–4 | 33.33% |
| Yalongzhing vs Lars | 3–3 | 50.00% |
| Yalongzhing vs Raven | 5–1 | 83.33% |
| Yalongzhing vs Lee | 4–1 | 80.00% |
| Yalongzhing vs Leroy | 1–4 | 20.00% |
| Yalongzhing vs Zafina | 4–0 | 100.00% |
| Yalongzhing vs Claudio | 2–1 | 66.67% |
| Yalongzhing vs Nina | 1–2 | 33.33% |
| Yalongzhing vs Leo | 0–2 | 0.00% |
| Yalongzhing vs Panda | 2–0 | 100.00% |
| Yalongzhing vs Eddy | 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.