Name history
| GOODBYE | |
| Ova HeA | |
| NING | |
| Fluffy | |
| I Will B Thin | |
| TunTun | |
| Remo_Demo | |
| Nang ra Haa | |
| Furakani KO | |
| Arrey | |
| up4 hwak tuah | |
| HeHe | |
| April B MaY |
| GOODBYE vs Bryan | 59–22 | 72.84% |
| GOODBYE vs Paul | 48–16 | 75.00% |
| GOODBYE vs King | 39–16 | 70.91% |
| GOODBYE vs Kazuya | 39–14 | 73.58% |
| GOODBYE vs Jin | 33–8 | 80.49% |
| GOODBYE vs Reina | 30–10 | 75.00% |
| GOODBYE vs Eddy | 21–19 | 52.50% |
| GOODBYE vs Hwoarang | 32–6 | 84.21% |
| GOODBYE vs Steve | 25–13 | 65.79% |
| GOODBYE vs Claudio | 23–12 | 65.71% |
| GOODBYE vs Devil Jin | 17–17 | 50.00% |
| GOODBYE vs Lili | 28–3 | 90.32% |
| GOODBYE vs Dragunov | 25–5 | 83.33% |
| GOODBYE vs Nina | 29–1 | 96.67% |
| GOODBYE vs Law | 24–5 | 82.76% |
| GOODBYE vs Feng | 21–6 | 77.78% |
| GOODBYE vs Yoshimitsu | 25–1 | 96.15% |
| GOODBYE vs Jack-8 | 15–11 | 57.69% |
| GOODBYE vs Victor | 13–10 | 56.52% |
| GOODBYE vs Azucena | 15–7 | 68.18% |
| GOODBYE vs Lee | 13–5 | 72.22% |
| GOODBYE vs Jun | 16–2 | 88.89% |
| GOODBYE vs Xiaoyu | 12–3 | 80.00% |
| GOODBYE vs Shaheen | 7–8 | 46.67% |
| GOODBYE vs Leroy | 8–7 | 53.33% |
| GOODBYE vs Heihachi | 11–4 | 73.33% |
| GOODBYE vs Asuka | 11–3 | 78.57% |
| GOODBYE vs Lars | 13–1 | 92.86% |
| GOODBYE vs Anna | 9–4 | 69.23% |
| GOODBYE vs Leo | 10–0 | 100.00% |
| GOODBYE vs Miary Zo | 8–2 | 80.00% |
| GOODBYE vs Raven | 6–2 | 75.00% |
| GOODBYE vs Alisa | 4–3 | 57.14% |
| GOODBYE vs Lidia | 4–2 | 66.67% |
| GOODBYE vs Kuma | 3–2 | 60.00% |
| GOODBYE vs Clive | 4–1 | 80.00% |
| GOODBYE vs Zafina | 2–2 | 50.00% |
| GOODBYE vs Fahkumram | 4–0 | 100.00% |
| GOODBYE vs Armor King | 3–0 | 100.00% |
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.