| ARC4lpha vs King | 51–46 | 52.58% |
| ARC4lpha vs Kazuya | 42–40 | 51.22% |
| ARC4lpha vs Jin | 34–40 | 45.95% |
| ARC4lpha vs Dragunov | 41–33 | 55.41% |
| ARC4lpha vs Reina | 37–33 | 52.86% |
| ARC4lpha vs Clive | 33–31 | 51.56% |
| ARC4lpha vs Steve | 39–16 | 70.91% |
| ARC4lpha vs Bryan | 18–26 | 40.91% |
| ARC4lpha vs Law | 19–21 | 47.50% |
| ARC4lpha vs Victor | 24–15 | 61.54% |
| ARC4lpha vs Hwoarang | 16–18 | 47.06% |
| ARC4lpha vs Lili | 17–17 | 50.00% |
| ARC4lpha vs Nina | 18–16 | 52.94% |
| ARC4lpha vs Heihachi | 15–18 | 45.45% |
| ARC4lpha vs Paul | 16–13 | 55.17% |
| ARC4lpha vs Jun | 19–10 | 65.52% |
| ARC4lpha vs Lidia | 16–13 | 55.17% |
| ARC4lpha vs Lars | 7–20 | 25.93% |
| ARC4lpha vs Asuka | 12–14 | 46.15% |
| ARC4lpha vs Alisa | 12–13 | 48.00% |
| ARC4lpha vs Yoshimitsu | 12–7 | 63.16% |
| ARC4lpha vs Azucena | 6–13 | 31.58% |
| ARC4lpha vs Lee | 6–12 | 33.33% |
| ARC4lpha vs Xiaoyu | 7–8 | 46.67% |
| ARC4lpha vs Devil Jin | 10–5 | 66.67% |
| ARC4lpha vs Eddy | 2–10 | 16.67% |
| ARC4lpha vs Fahkumram | 8–3 | 72.73% |
| ARC4lpha vs Jack-8 | 3–5 | 37.50% |
| ARC4lpha vs Leo | 5–3 | 62.50% |
| ARC4lpha vs Leroy | 3–5 | 37.50% |
| ARC4lpha vs Armor King | 3–5 | 37.50% |
| ARC4lpha vs Feng | 3–4 | 42.86% |
| ARC4lpha vs Shaheen | 2–5 | 28.57% |
| ARC4lpha vs Raven | 2–5 | 28.57% |
| ARC4lpha vs Zafina | 2–4 | 33.33% |
| ARC4lpha vs Claudio | 2–2 | 50.00% |
| ARC4lpha vs Anna | 1–2 | 33.33% |
| ARC4lpha vs Kuma | 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.