| 2cold vs Jin | 23–39 | 37.10% |
| 2cold vs Law | 21–24 | 46.67% |
| 2cold vs Kazuya | 19–23 | 45.24% |
| 2cold vs Hwoarang | 23–14 | 62.16% |
| 2cold vs King | 14–22 | 38.89% |
| 2cold vs Steve | 19–14 | 57.58% |
| 2cold vs Lili | 14–18 | 43.75% |
| 2cold vs Reina | 14–17 | 45.16% |
| 2cold vs Bryan | 19–11 | 63.33% |
| 2cold vs Jun | 17–12 | 58.62% |
| 2cold vs Lidia | 18–8 | 69.23% |
| 2cold vs Lars | 15–10 | 60.00% |
| 2cold vs Lee | 15–10 | 60.00% |
| 2cold vs Clive | 16–9 | 64.00% |
| 2cold vs Nina | 7–16 | 30.43% |
| 2cold vs Yoshimitsu | 10–11 | 47.62% |
| 2cold vs Xiaoyu | 13–7 | 65.00% |
| 2cold vs Heihachi | 8–12 | 40.00% |
| 2cold vs Paul | 7–12 | 36.84% |
| 2cold vs Leroy | 11–7 | 61.11% |
| 2cold vs Azucena | 7–10 | 41.18% |
| 2cold vs Asuka | 11–3 | 78.57% |
| 2cold vs Victor | 7–7 | 50.00% |
| 2cold vs Feng | 5–8 | 38.46% |
| 2cold vs Alisa | 4–9 | 30.77% |
| 2cold vs Eddy | 5–8 | 38.46% |
| 2cold vs Anna | 5–7 | 41.67% |
| 2cold vs Jack-8 | 6–5 | 54.55% |
| 2cold vs Dragunov | 3–8 | 27.27% |
| 2cold vs Claudio | 5–3 | 62.50% |
| 2cold vs Kuma | 3–5 | 37.50% |
| 2cold vs Devil Jin | 4–3 | 57.14% |
| 2cold vs Leo | 1–6 | 14.29% |
| 2cold vs Raven | 3–1 | 75.00% |
| 2cold vs Fahkumram | 2–2 | 50.00% |
| 2cold vs Panda | 0–3 | 0.00% |
| 2cold vs Zafina | 0–3 | 0.00% |
| 2cold vs Shaheen | 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.