| cold fries vs Jin | 33–29 | 53.23% |
| cold fries vs Steve | 30–24 | 55.56% |
| cold fries vs Dragunov | 28–20 | 58.33% |
| cold fries vs Hwoarang | 23–22 | 51.11% |
| cold fries vs Kazuya | 27–17 | 61.36% |
| cold fries vs Reina | 28–16 | 63.64% |
| cold fries vs King | 22–17 | 56.41% |
| cold fries vs Paul | 10–14 | 41.67% |
| cold fries vs Lars | 17–6 | 73.91% |
| cold fries vs Nina | 9–14 | 39.13% |
| cold fries vs Lidia | 8–15 | 34.78% |
| cold fries vs Asuka | 12–9 | 57.14% |
| cold fries vs Bryan | 10–10 | 50.00% |
| cold fries vs Law | 9–9 | 50.00% |
| cold fries vs Alisa | 9–9 | 50.00% |
| cold fries vs Lee | 9–9 | 50.00% |
| cold fries vs Victor | 9–8 | 52.94% |
| cold fries vs Feng | 5–11 | 31.25% |
| cold fries vs Jun | 7–7 | 50.00% |
| cold fries vs Lili | 6–7 | 46.15% |
| cold fries vs Azucena | 7–6 | 53.85% |
| cold fries vs Devil Jin | 5–7 | 41.67% |
| cold fries vs Yoshimitsu | 6–5 | 54.55% |
| cold fries vs Xiaoyu | 4–7 | 36.36% |
| cold fries vs Eddy | 4–7 | 36.36% |
| cold fries vs Leroy | 4–5 | 44.44% |
| cold fries vs Raven | 3–6 | 33.33% |
| cold fries vs Fahkumram | 5–3 | 62.50% |
| cold fries vs Jack-8 | 2–2 | 50.00% |
| cold fries vs Leo | 2–2 | 50.00% |
| cold fries vs Claudio | 4–0 | 100.00% |
| cold fries vs Panda | 3–1 | 75.00% |
| cold fries vs Zafina | 2–2 | 50.00% |
| cold fries vs Heihachi | 4–0 | 100.00% |
| cold fries vs Shaheen | 2–1 | 66.67% |
| cold fries vs Kuma | 0–3 | 0.00% |
| cold fries vs Clive | 2–1 | 66.67% |
| cold fries vs Anna | 1–2 | 33.33% |
| cold fries vs Armor King | 0–3 | 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.