| Arcane Snow vs Clive | 22–23 | 48.89% |
| Arcane Snow vs Reina | 10–10 | 50.00% |
| Arcane Snow vs Jin | 5–12 | 29.41% |
| Arcane Snow vs King | 7–8 | 46.67% |
| Arcane Snow vs Kazuya | 7–8 | 46.67% |
| Arcane Snow vs Nina | 8–7 | 53.33% |
| Arcane Snow vs Eddy | 11–4 | 73.33% |
| Arcane Snow vs Jun | 6–6 | 50.00% |
| Arcane Snow vs Law | 4–5 | 44.44% |
| Arcane Snow vs Lili | 5–4 | 55.56% |
| Arcane Snow vs Leo | 6–3 | 66.67% |
| Arcane Snow vs Shaheen | 5–4 | 55.56% |
| Arcane Snow vs Hwoarang | 2–5 | 28.57% |
| Arcane Snow vs Lars | 3–4 | 42.86% |
| Arcane Snow vs Lee | 3–3 | 50.00% |
| Arcane Snow vs Azucena | 2–4 | 33.33% |
| Arcane Snow vs Paul | 1–4 | 20.00% |
| Arcane Snow vs Asuka | 3–2 | 60.00% |
| Arcane Snow vs Feng | 1–4 | 20.00% |
| Arcane Snow vs Dragunov | 1–4 | 20.00% |
| Arcane Snow vs Victor | 2–3 | 40.00% |
| Arcane Snow vs Heihachi | 3–2 | 60.00% |
| Arcane Snow vs Yoshimitsu | 2–2 | 50.00% |
| Arcane Snow vs Xiaoyu | 2–2 | 50.00% |
| Arcane Snow vs Bryan | 0–4 | 0.00% |
| Arcane Snow vs Steve | 1–3 | 25.00% |
| Arcane Snow vs Kuma | 0–4 | 0.00% |
| Arcane Snow vs Panda | 1–2 | 33.33% |
| Arcane Snow vs Raven | 1–2 | 33.33% |
| Arcane Snow vs Jack-8 | 2–0 | 100.00% |
| Arcane Snow vs Devil Jin | 0–2 | 0.00% |
| Arcane Snow vs Alisa | 0–2 | 0.00% |
| Arcane Snow vs Lidia | 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.