| Arthenon vs Kazuya | 39–19 | 67.24% |
| Arthenon vs Jin | 33–18 | 64.71% |
| Arthenon vs Reina | 34–15 | 69.39% |
| Arthenon vs Bryan | 15–22 | 40.54% |
| Arthenon vs Steve | 25–11 | 69.44% |
| Arthenon vs Yoshimitsu | 21–9 | 70.00% |
| Arthenon vs Hwoarang | 17–13 | 56.67% |
| Arthenon vs King | 17–11 | 60.71% |
| Arthenon vs Paul | 15–11 | 57.69% |
| Arthenon vs Lili | 14–11 | 56.00% |
| Arthenon vs Law | 19–4 | 82.61% |
| Arthenon vs Feng | 13–10 | 56.52% |
| Arthenon vs Dragunov | 14–7 | 66.67% |
| Arthenon vs Nina | 15–5 | 75.00% |
| Arthenon vs Victor | 6–11 | 35.29% |
| Arthenon vs Heihachi | 9–8 | 52.94% |
| Arthenon vs Alisa | 11–5 | 68.75% |
| Arthenon vs Lee | 7–9 | 43.75% |
| Arthenon vs Azucena | 9–7 | 56.25% |
| Arthenon vs Eddy | 9–6 | 60.00% |
| Arthenon vs Asuka | 9–4 | 69.23% |
| Arthenon vs Devil Jin | 5–8 | 38.46% |
| Arthenon vs Lars | 11–1 | 91.67% |
| Arthenon vs Lidia | 11–1 | 91.67% |
| Arthenon vs Leroy | 7–4 | 63.64% |
| Arthenon vs Leo | 8–2 | 80.00% |
| Arthenon vs Jack-8 | 5–4 | 55.56% |
| Arthenon vs Xiaoyu | 4–4 | 50.00% |
| Arthenon vs Claudio | 7–1 | 87.50% |
| Arthenon vs Jun | 6–1 | 85.71% |
| Arthenon vs Panda | 1–5 | 16.67% |
| Arthenon vs Shaheen | 4–1 | 80.00% |
| Arthenon vs Kuma | 1–4 | 20.00% |
| Arthenon vs Raven | 5–0 | 100.00% |
| Arthenon vs Zafina | 1–2 | 33.33% |
| Arthenon vs Clive | 1–1 | 50.00% |
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.