| arthur_03x vs King | 33–62 | 34.74% |
| arthur_03x vs Kazuya | 43–43 | 50.00% |
| arthur_03x vs Steve | 39–47 | 45.35% |
| arthur_03x vs Bryan | 47–37 | 55.95% |
| arthur_03x vs Jin | 36–46 | 43.90% |
| arthur_03x vs Reina | 35–41 | 46.05% |
| arthur_03x vs Heihachi | 21–38 | 35.59% |
| arthur_03x vs Kuma | 30–25 | 54.55% |
| arthur_03x vs Hwoarang | 20–31 | 39.22% |
| arthur_03x vs Asuka | 23–25 | 47.92% |
| arthur_03x vs Eddy | 17–30 | 36.17% |
| arthur_03x vs Law | 28–16 | 63.64% |
| arthur_03x vs Dragunov | 15–29 | 34.09% |
| arthur_03x vs Lili | 23–17 | 57.50% |
| arthur_03x vs Nina | 14–24 | 36.84% |
| arthur_03x vs Armor King | 16–21 | 43.24% |
| arthur_03x vs Fahkumram | 17–18 | 48.57% |
| arthur_03x vs Leo | 15–15 | 50.00% |
| arthur_03x vs Devil Jin | 10–19 | 34.48% |
| arthur_03x vs Jun | 16–13 | 55.17% |
| arthur_03x vs Yoshimitsu | 11–17 | 39.29% |
| arthur_03x vs Alisa | 16–11 | 59.26% |
| arthur_03x vs Lidia | 11–14 | 44.00% |
| arthur_03x vs Xiaoyu | 8–14 | 36.36% |
| arthur_03x vs Azucena | 14–8 | 63.64% |
| arthur_03x vs Feng | 13–8 | 61.90% |
| arthur_03x vs Jack-8 | 3–15 | 16.67% |
| arthur_03x vs Lee | 9–9 | 50.00% |
| arthur_03x vs Raven | 8–10 | 44.44% |
| arthur_03x vs Paul | 8–8 | 50.00% |
| arthur_03x vs Leroy | 7–8 | 46.67% |
| arthur_03x vs Lars | 7–6 | 53.85% |
| arthur_03x vs Claudio | 9–4 | 69.23% |
| arthur_03x vs Victor | 3–8 | 27.27% |
| arthur_03x vs Clive | 5–4 | 55.56% |
| arthur_03x vs Anna | 3–4 | 42.86% |
| arthur_03x vs Shaheen | 2–4 | 33.33% |
| arthur_03x vs Panda | 1–4 | 20.00% |
| arthur_03x vs Zafina | 3–2 | 60.00% |
| arthur_03x vs Miary Zo | 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.