| flamekyma vs Asuka | 17–24 | 41.46% |
| flamekyma vs Steve | 18–14 | 56.25% |
| flamekyma vs Lili | 10–22 | 31.25% |
| flamekyma vs Jin | 9–16 | 36.00% |
| flamekyma vs Reina | 5–20 | 20.00% |
| flamekyma vs Kazuya | 4–19 | 17.39% |
| flamekyma vs Law | 11–9 | 55.00% |
| flamekyma vs Claudio | 8–12 | 40.00% |
| flamekyma vs King | 5–12 | 29.41% |
| flamekyma vs Hwoarang | 5–11 | 31.25% |
| flamekyma vs Dragunov | 5–10 | 33.33% |
| flamekyma vs Fahkumram | 5–10 | 33.33% |
| flamekyma vs Victor | 6–8 | 42.86% |
| flamekyma vs Lars | 4–7 | 36.36% |
| flamekyma vs Bryan | 4–6 | 40.00% |
| flamekyma vs Devil Jin | 2–7 | 22.22% |
| flamekyma vs Nina | 4–5 | 44.44% |
| flamekyma vs Jun | 6–3 | 66.67% |
| flamekyma vs Lidia | 6–3 | 66.67% |
| flamekyma vs Paul | 3–5 | 37.50% |
| flamekyma vs Yoshimitsu | 7–1 | 87.50% |
| flamekyma vs Miary Zo | 4–4 | 50.00% |
| flamekyma vs Raven | 4–3 | 57.14% |
| flamekyma vs Armor King | 3–3 | 50.00% |
| flamekyma vs Shaheen | 0–5 | 0.00% |
| flamekyma vs Anna | 4–1 | 80.00% |
| flamekyma vs Leo | 3–1 | 75.00% |
| flamekyma vs Lee | 2–2 | 50.00% |
| flamekyma vs Leroy | 2–2 | 50.00% |
| flamekyma vs Azucena | 3–1 | 75.00% |
| flamekyma vs Eddy | 0–4 | 0.00% |
| flamekyma vs Heihachi | 0–4 | 0.00% |
| flamekyma vs Clive | 3–1 | 75.00% |
| flamekyma vs Xiaoyu | 2–1 | 66.67% |
| flamekyma vs Alisa | 2–1 | 66.67% |
| flamekyma vs Feng | 0–2 | 0.00% |
| flamekyma vs Kuma | 0–2 | 0.00% |
| flamekyma vs Panda | 0–2 | 0.00% |
| flamekyma vs Jack-8 | 1–0 | 100.00% |
| flamekyma vs Zafina | 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.