| Griffon vs Jin | 36–20 | 64.29% |
| Griffon vs Law | 28–21 | 57.14% |
| Griffon vs Kazuya | 25–20 | 55.56% |
| Griffon vs Bryan | 23–15 | 60.53% |
| Griffon vs Steve | 24–13 | 64.86% |
| Griffon vs Reina | 20–16 | 55.56% |
| Griffon vs Heihachi | 15–21 | 41.67% |
| Griffon vs King | 23–12 | 65.71% |
| Griffon vs Hwoarang | 18–8 | 69.23% |
| Griffon vs Devil Jin | 12–10 | 54.55% |
| Griffon vs Lili | 13–9 | 59.09% |
| Griffon vs Lee | 12–8 | 60.00% |
| Griffon vs Lars | 5–12 | 29.41% |
| Griffon vs Eddy | 8–9 | 47.06% |
| Griffon vs Feng | 7–9 | 43.75% |
| Griffon vs Victor | 7–9 | 43.75% |
| Griffon vs Xiaoyu | 10–5 | 66.67% |
| Griffon vs Azucena | 8–7 | 53.33% |
| Griffon vs Yoshimitsu | 7–5 | 58.33% |
| Griffon vs Dragunov | 5–6 | 45.45% |
| Griffon vs Anna | 5–6 | 45.45% |
| Griffon vs Paul | 2–8 | 20.00% |
| Griffon vs Leo | 9–1 | 90.00% |
| Griffon vs Jun | 6–4 | 60.00% |
| Griffon vs Alisa | 4–4 | 50.00% |
| Griffon vs Leroy | 4–4 | 50.00% |
| Griffon vs Jack-8 | 2–4 | 33.33% |
| Griffon vs Asuka | 3–2 | 60.00% |
| Griffon vs Nina | 4–1 | 80.00% |
| Griffon vs Raven | 3–2 | 60.00% |
| Griffon vs Lidia | 4–1 | 80.00% |
| Griffon vs Shaheen | 2–2 | 50.00% |
| Griffon vs Clive | 2–1 | 66.67% |
| Griffon vs Claudio | 2–0 | 100.00% |
| Griffon vs Kuma | 0–2 | 0.00% |
| Griffon vs Armor King | 0–2 | 0.00% |
| Griffon vs Miary Zo | 2–0 | 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.