Name history
| Okassan | |
| Therapber | |
| RukaXV | |
| Araswag | |
| Therapper | |
| LіttleAngel | |
| Shineshіtstar | |
| Arashock | |
| Knee_<3_Arslan | |
| Purplycat | |
| ILOVEYOUJULIA | |
| Ottosama | |
| cubitolover6969 | |
| Ojiisan | |
| Therabbit | |
| EmmaWatsonFan |
| Okassan vs Kazuya | 52–6 | 89.66% |
| Okassan vs Jin | 49–3 | 94.23% |
| Okassan vs Reina | 41–3 | 93.18% |
| Okassan vs Dragunov | 36–6 | 85.71% |
| Okassan vs Hwoarang | 32–2 | 94.12% |
| Okassan vs King | 29–4 | 87.88% |
| Okassan vs Paul | 30–1 | 96.77% |
| Okassan vs Eddy | 21–5 | 80.77% |
| Okassan vs Lili | 22–3 | 88.00% |
| Okassan vs Steve | 22–2 | 91.67% |
| Okassan vs Victor | 23–1 | 95.83% |
| Okassan vs Xiaoyu | 22–1 | 95.65% |
| Okassan vs Lars | 20–3 | 86.96% |
| Okassan vs Alisa | 20–1 | 95.24% |
| Okassan vs Jun | 18–1 | 94.74% |
| Okassan vs Asuka | 13–3 | 81.25% |
| Okassan vs Law | 15–0 | 100.00% |
| Okassan vs Yoshimitsu | 13–2 | 86.67% |
| Okassan vs Azucena | 14–0 | 100.00% |
| Okassan vs Leo | 11–2 | 84.62% |
| Okassan vs Claudio | 11–1 | 91.67% |
| Okassan vs Lee | 11–1 | 91.67% |
| Okassan vs Feng | 11–0 | 100.00% |
| Okassan vs Bryan | 8–2 | 80.00% |
| Okassan vs Raven | 8–2 | 80.00% |
| Okassan vs Devil Jin | 8–0 | 100.00% |
| Okassan vs Shaheen | 4–4 | 50.00% |
| Okassan vs Panda | 7–1 | 87.50% |
| Okassan vs Leroy | 6–2 | 75.00% |
| Okassan vs Jack-8 | 7–0 | 100.00% |
| Okassan vs Kuma | 7–0 | 100.00% |
| Okassan vs Nina | 6–0 | 100.00% |
| Okassan vs Zafina | 4–2 | 66.67% |
| Okassan vs Miary Zo | 4–1 | 80.00% |
| Okassan vs Fahkumram | 1–2 | 33.33% |
| Okassan vs Clive | 1–0 | 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.