| CryophoeniX vs Jin | 76–52 | 59.38% |
| CryophoeniX vs Kazuya | 66–42 | 61.11% |
| CryophoeniX vs Steve | 69–32 | 68.32% |
| CryophoeniX vs King | 48–42 | 53.33% |
| CryophoeniX vs Dragunov | 36–46 | 43.90% |
| CryophoeniX vs Bryan | 39–41 | 48.75% |
| CryophoeniX vs Law | 43–24 | 64.18% |
| CryophoeniX vs Armor King | 25–25 | 50.00% |
| CryophoeniX vs Reina | 26–19 | 57.78% |
| CryophoeniX vs Lili | 28–16 | 63.64% |
| CryophoeniX vs Yoshimitsu | 24–19 | 55.81% |
| CryophoeniX vs Jun | 26–17 | 60.47% |
| CryophoeniX vs Fahkumram | 20–23 | 46.51% |
| CryophoeniX vs Victor | 20–13 | 60.61% |
| CryophoeniX vs Heihachi | 13–20 | 39.39% |
| CryophoeniX vs Asuka | 16–15 | 51.61% |
| CryophoeniX vs Nina | 14–13 | 51.85% |
| CryophoeniX vs Paul | 7–17 | 29.17% |
| CryophoeniX vs Devil Jin | 13–11 | 54.17% |
| CryophoeniX vs Hwoarang | 11–12 | 47.83% |
| CryophoeniX vs Claudio | 16–7 | 69.57% |
| CryophoeniX vs Lidia | 7–16 | 30.43% |
| CryophoeniX vs Clive | 12–10 | 54.55% |
| CryophoeniX vs Lars | 14–7 | 66.67% |
| CryophoeniX vs Shaheen | 14–6 | 70.00% |
| CryophoeniX vs Lee | 11–9 | 55.00% |
| CryophoeniX vs Eddy | 12–6 | 66.67% |
| CryophoeniX vs Xiaoyu | 5–12 | 29.41% |
| CryophoeniX vs Leroy | 5–12 | 29.41% |
| CryophoeniX vs Alisa | 8–7 | 53.33% |
| CryophoeniX vs Anna | 5–8 | 38.46% |
| CryophoeniX vs Azucena | 7–5 | 58.33% |
| CryophoeniX vs Leo | 4–6 | 40.00% |
| CryophoeniX vs Jack-8 | 3–4 | 42.86% |
| CryophoeniX vs Feng | 2–5 | 28.57% |
| CryophoeniX vs Kuma | 2–2 | 50.00% |
| CryophoeniX vs Zafina | 1–2 | 33.33% |
| CryophoeniX vs Raven | 1–2 | 33.33% |
| CryophoeniX vs Miary Zo | 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.