| Yhorm vs Hwoarang | 16–29 | 35.56% |
| Yhorm vs Jin | 25–19 | 56.82% |
| Yhorm vs Steve | 23–18 | 56.10% |
| Yhorm vs King | 18–20 | 47.37% |
| Yhorm vs Reina | 16–18 | 47.06% |
| Yhorm vs Armor King | 14–19 | 42.42% |
| Yhorm vs Law | 13–17 | 43.33% |
| Yhorm vs Bryan | 10–20 | 33.33% |
| Yhorm vs Kazuya | 14–7 | 66.67% |
| Yhorm vs Yoshimitsu | 14–5 | 73.68% |
| Yhorm vs Devil Jin | 13–5 | 72.22% |
| Yhorm vs Lili | 8–10 | 44.44% |
| Yhorm vs Eddy | 7–11 | 38.89% |
| Yhorm vs Dragunov | 5–10 | 33.33% |
| Yhorm vs Azucena | 6–8 | 42.86% |
| Yhorm vs Victor | 7–7 | 50.00% |
| Yhorm vs Clive | 9–5 | 64.29% |
| Yhorm vs Lars | 7–6 | 53.85% |
| Yhorm vs Fahkumram | 5–8 | 38.46% |
| Yhorm vs Nina | 7–5 | 58.33% |
| Yhorm vs Miary Zo | 7–5 | 58.33% |
| Yhorm vs Leroy | 4–6 | 40.00% |
| Yhorm vs Jun | 5–5 | 50.00% |
| Yhorm vs Jack-8 | 5–4 | 55.56% |
| Yhorm vs Paul | 2–6 | 25.00% |
| Yhorm vs Asuka | 1–6 | 14.29% |
| Yhorm vs Feng | 3–4 | 42.86% |
| Yhorm vs Claudio | 2–4 | 33.33% |
| Yhorm vs Lee | 2–4 | 33.33% |
| Yhorm vs Raven | 2–4 | 33.33% |
| Yhorm vs Anna | 4–2 | 66.67% |
| Yhorm vs Heihachi | 2–2 | 50.00% |
| Yhorm vs Leo | 1–2 | 33.33% |
| Yhorm vs Kuma | 2–1 | 66.67% |
| Yhorm vs Zafina | 3–0 | 100.00% |
| Yhorm vs Lidia | 1–2 | 33.33% |
| Yhorm vs Xiaoyu | 0–2 | 0.00% |
| Yhorm vs Alisa | 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.