Name history
| KÅKÄRØT | |
| $IT,BØŸ!! | |
| KAKAROT | |
| That_Boy_Sharpp | |
| A-TRAIN | |
| Coochi3smacker | |
| MOON NIGA | |
| NIGATO UZAMAKI |
| KÅKÄRØT vs Reina | 27–9 | 75.00% |
| KÅKÄRØT vs Steve | 19–13 | 59.38% |
| KÅKÄRØT vs Hwoarang | 20–11 | 64.52% |
| KÅKÄRØT vs Bryan | 23–8 | 74.19% |
| KÅKÄRØT vs Law | 19–10 | 65.52% |
| KÅKÄRØT vs Yoshimitsu | 19–8 | 70.37% |
| KÅKÄRØT vs King | 17–7 | 70.83% |
| KÅKÄRØT vs Dragunov | 17–7 | 70.83% |
| KÅKÄRØT vs Jin | 18–5 | 78.26% |
| KÅKÄRØT vs Lars | 16–6 | 72.73% |
| KÅKÄRØT vs Azucena | 17–5 | 77.27% |
| KÅKÄRØT vs Feng | 15–6 | 71.43% |
| KÅKÄRØT vs Heihachi | 12–9 | 57.14% |
| KÅKÄRØT vs Asuka | 15–5 | 75.00% |
| KÅKÄRØT vs Lili | 13–7 | 65.00% |
| KÅKÄRØT vs Paul | 10–7 | 58.82% |
| KÅKÄRØT vs Kazuya | 12–4 | 75.00% |
| KÅKÄRØT vs Xiaoyu | 8–6 | 57.14% |
| KÅKÄRØT vs Lee | 10–4 | 71.43% |
| KÅKÄRØT vs Victor | 8–6 | 57.14% |
| KÅKÄRØT vs Eddy | 9–5 | 64.29% |
| KÅKÄRØT vs Devil Jin | 8–5 | 61.54% |
| KÅKÄRØT vs Leo | 9–4 | 69.23% |
| KÅKÄRØT vs Jun | 7–4 | 63.64% |
| KÅKÄRØT vs Alisa | 7–3 | 70.00% |
| KÅKÄRØT vs Nina | 9–1 | 90.00% |
| KÅKÄRØT vs Raven | 6–4 | 60.00% |
| KÅKÄRØT vs Jack-8 | 4–5 | 44.44% |
| KÅKÄRØT vs Anna | 5–4 | 55.56% |
| KÅKÄRØT vs Miary Zo | 7–2 | 77.78% |
| KÅKÄRØT vs Kuma | 3–4 | 42.86% |
| KÅKÄRØT vs Leroy | 5–1 | 83.33% |
| KÅKÄRØT vs Armor King | 3–3 | 50.00% |
| KÅKÄRØT vs Shaheen | 2–3 | 40.00% |
| KÅKÄRØT vs Panda | 4–1 | 80.00% |
| KÅKÄRØT vs Lidia | 3–2 | 60.00% |
| KÅKÄRØT vs Clive | 1–4 | 20.00% |
| KÅKÄRØT vs Claudio | 2–2 | 50.00% |
| KÅKÄRØT vs Zafina | 1–1 | 50.00% |
| KÅKÄRØT vs Fahkumram | 1–1 | 50.00% |
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.