| DreT2cold vs Eddy | 16–22 | 42.11% |
| DreT2cold vs King | 22–13 | 62.86% |
| DreT2cold vs Steve | 13–11 | 54.17% |
| DreT2cold vs Jin | 17–6 | 73.91% |
| DreT2cold vs Kazuya | 14–8 | 63.64% |
| DreT2cold vs Bryan | 12–9 | 57.14% |
| DreT2cold vs Hwoarang | 12–7 | 63.16% |
| DreT2cold vs Xiaoyu | 12–6 | 66.67% |
| DreT2cold vs Asuka | 8–10 | 44.44% |
| DreT2cold vs Law | 11–5 | 68.75% |
| DreT2cold vs Jun | 11–5 | 68.75% |
| DreT2cold vs Azucena | 10–5 | 66.67% |
| DreT2cold vs Clive | 5–9 | 35.71% |
| DreT2cold vs Dragunov | 9–4 | 69.23% |
| DreT2cold vs Victor | 5–8 | 38.46% |
| DreT2cold vs Reina | 8–3 | 72.73% |
| DreT2cold vs Nina | 3–7 | 30.00% |
| DreT2cold vs Yoshimitsu | 5–4 | 55.56% |
| DreT2cold vs Alisa | 4–5 | 44.44% |
| DreT2cold vs Devil Jin | 4–4 | 50.00% |
| DreT2cold vs Jack-8 | 4–3 | 57.14% |
| DreT2cold vs Lars | 5–2 | 71.43% |
| DreT2cold vs Raven | 4–3 | 57.14% |
| DreT2cold vs Lidia | 4–3 | 57.14% |
| DreT2cold vs Heihachi | 3–4 | 42.86% |
| DreT2cold vs Miary Zo | 4–3 | 57.14% |
| DreT2cold vs Paul | 2–4 | 33.33% |
| DreT2cold vs Feng | 4–2 | 66.67% |
| DreT2cold vs Leo | 4–2 | 66.67% |
| DreT2cold vs Shaheen | 3–3 | 50.00% |
| DreT2cold vs Lili | 3–2 | 60.00% |
| DreT2cold vs Kuma | 0–5 | 0.00% |
| DreT2cold vs Anna | 3–1 | 75.00% |
| DreT2cold vs Claudio | 0–3 | 0.00% |
| DreT2cold vs Lee | 2–1 | 66.67% |
| DreT2cold vs Fahkumram | 2–1 | 66.67% |
| DreT2cold vs Panda | 1–1 | 50.00% |
| DreT2cold vs Zafina | 2–0 | 100.00% |
| DreT2cold vs Leroy | 0–1 | 0.00% |
| DreT2cold vs Armor King | 0–1 | 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.