| Frost_NYC vs King | 16–33 | 32.65% |
| Frost_NYC vs Eddy | 17–20 | 45.95% |
| Frost_NYC vs Steve | 15–19 | 44.12% |
| Frost_NYC vs Jin | 7–25 | 21.88% |
| Frost_NYC vs Hwoarang | 13–18 | 41.94% |
| Frost_NYC vs Lili | 10–17 | 37.04% |
| Frost_NYC vs Kazuya | 13–12 | 52.00% |
| Frost_NYC vs Paul | 6–16 | 27.27% |
| Frost_NYC vs Reina | 8–14 | 36.36% |
| Frost_NYC vs Feng | 10–9 | 52.63% |
| Frost_NYC vs Lee | 6–12 | 33.33% |
| Frost_NYC vs Leroy | 2–16 | 11.11% |
| Frost_NYC vs Bryan | 7–10 | 41.18% |
| Frost_NYC vs Lars | 12–5 | 70.59% |
| Frost_NYC vs Alisa | 4–11 | 26.67% |
| Frost_NYC vs Jun | 8–6 | 57.14% |
| Frost_NYC vs Raven | 3–8 | 27.27% |
| Frost_NYC vs Clive | 6–5 | 54.55% |
| Frost_NYC vs Yoshimitsu | 5–5 | 50.00% |
| Frost_NYC vs Azucena | 4–6 | 40.00% |
| Frost_NYC vs Victor | 2–8 | 20.00% |
| Frost_NYC vs Law | 6–3 | 66.67% |
| Frost_NYC vs Asuka | 6–3 | 66.67% |
| Frost_NYC vs Devil Jin | 2–7 | 22.22% |
| Frost_NYC vs Dragunov | 6–3 | 66.67% |
| Frost_NYC vs Jack-8 | 4–4 | 50.00% |
| Frost_NYC vs Kuma | 3–5 | 37.50% |
| Frost_NYC vs Heihachi | 4–4 | 50.00% |
| Frost_NYC vs Nina | 1–3 | 25.00% |
| Frost_NYC vs Shaheen | 1–2 | 33.33% |
| Frost_NYC vs Zafina | 0–3 | 0.00% |
| Frost_NYC vs Xiaoyu | 2–0 | 100.00% |
| Frost_NYC vs Leo | 1–0 | 100.00% |
| Frost_NYC vs Claudio | 0–1 | 0.00% |
| Frost_NYC vs Lidia | 1–0 | 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.