| Yhuno vs Dragunov | 29–26 | 52.73% |
| Yhuno vs Armor King | 34–20 | 62.96% |
| Yhuno vs Jin | 24–16 | 60.00% |
| Yhuno vs Steve | 12–21 | 36.36% |
| Yhuno vs King | 18–13 | 58.06% |
| Yhuno vs Heihachi | 18–12 | 60.00% |
| Yhuno vs Asuka | 14–15 | 48.28% |
| Yhuno vs Bryan | 14–14 | 50.00% |
| Yhuno vs Yoshimitsu | 18–8 | 69.23% |
| Yhuno vs Reina | 16–9 | 64.00% |
| Yhuno vs Law | 12–11 | 52.17% |
| Yhuno vs Kazuya | 13–8 | 61.90% |
| Yhuno vs Paul | 6–13 | 31.58% |
| Yhuno vs Lili | 6–11 | 35.29% |
| Yhuno vs Jun | 12–4 | 75.00% |
| Yhuno vs Leo | 7–5 | 58.33% |
| Yhuno vs Clive | 7–4 | 63.64% |
| Yhuno vs Fahkumram | 4–7 | 36.36% |
| Yhuno vs Nina | 4–6 | 40.00% |
| Yhuno vs Devil Jin | 6–3 | 66.67% |
| Yhuno vs Hwoarang | 7–1 | 87.50% |
| Yhuno vs Lars | 0–8 | 0.00% |
| Yhuno vs Victor | 5–3 | 62.50% |
| Yhuno vs Anna | 4–4 | 50.00% |
| Yhuno vs Feng | 2–5 | 28.57% |
| Yhuno vs Claudio | 2–5 | 28.57% |
| Yhuno vs Xiaoyu | 3–3 | 50.00% |
| Yhuno vs Azucena | 2–4 | 33.33% |
| Yhuno vs Lidia | 4–2 | 66.67% |
| Yhuno vs Miary Zo | 3–3 | 50.00% |
| Yhuno vs Jack-8 | 2–3 | 40.00% |
| Yhuno vs Alisa | 1–2 | 33.33% |
| Yhuno vs Shaheen | 2–1 | 66.67% |
| Yhuno vs Lee | 1–2 | 33.33% |
| Yhuno vs Leroy | 1–2 | 33.33% |
| Yhuno vs Eddy | 1–2 | 33.33% |
| Yhuno vs Kuma | 0–2 | 0.00% |
| Yhuno vs Zafina | 0–2 | 0.00% |
| Yhuno vs Raven | 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.