| GuanYu vs King | 40–37 | 51.95% |
| GuanYu vs Law | 44–23 | 65.67% |
| GuanYu vs Paul | 17–23 | 42.50% |
| GuanYu vs Yoshimitsu | 20–12 | 62.50% |
| GuanYu vs Jin | 17–14 | 54.84% |
| GuanYu vs Kazuya | 17–11 | 60.71% |
| GuanYu vs Dragunov | 14–14 | 50.00% |
| GuanYu vs Hwoarang | 10–14 | 41.67% |
| GuanYu vs Eddy | 14–10 | 58.33% |
| GuanYu vs Bryan | 12–10 | 54.55% |
| GuanYu vs Clive | 10–12 | 45.45% |
| GuanYu vs Heihachi | 6–15 | 28.57% |
| GuanYu vs Azucena | 8–6 | 57.14% |
| GuanYu vs Armor King | 7–6 | 53.85% |
| GuanYu vs Leo | 8–3 | 72.73% |
| GuanYu vs Jun | 4–5 | 44.44% |
| GuanYu vs Fahkumram | 3–6 | 33.33% |
| GuanYu vs Steve | 4–3 | 57.14% |
| GuanYu vs Jack-8 | 4–3 | 57.14% |
| GuanYu vs Reina | 6–1 | 85.71% |
| GuanYu vs Nina | 3–3 | 50.00% |
| GuanYu vs Alisa | 1–4 | 20.00% |
| GuanYu vs Kuma | 2–3 | 40.00% |
| GuanYu vs Miary Zo | 0–5 | 0.00% |
| GuanYu vs Asuka | 3–1 | 75.00% |
| GuanYu vs Devil Jin | 3–1 | 75.00% |
| GuanYu vs Lili | 3–1 | 75.00% |
| GuanYu vs Panda | 4–0 | 100.00% |
| GuanYu vs Anna | 0–4 | 0.00% |
| GuanYu vs Lars | 3–0 | 100.00% |
| GuanYu vs Claudio | 1–2 | 33.33% |
| GuanYu vs Shaheen | 2–1 | 66.67% |
| GuanYu vs Lee | 1–2 | 33.33% |
| GuanYu vs Raven | 2–1 | 66.67% |
| GuanYu vs Lidia | 1–2 | 33.33% |
| GuanYu vs Xiaoyu | 0–2 | 0.00% |
| GuanYu vs Victor | 1–1 | 50.00% |
| GuanYu vs Feng | 0–1 | 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.