Name history
| KoffI | |
| Mini-ling | |
| KOFFI | |
| Fahk dihh | |
| coffee enjoyer | |
| ELLISTHEKING | |
| Fahkumramplayer | |
| KanYe is right | |
| BigBodyGamer |
| KoffI vs Reina | 91–54 | 62.76% |
| KoffI vs Kazuya | 72–60 | 54.55% |
| KoffI vs Bryan | 58–54 | 51.79% |
| KoffI vs King | 54–43 | 55.67% |
| KoffI vs Jin | 42–50 | 45.65% |
| KoffI vs Clive | 58–33–1 | 63.74% |
| KoffI vs Steve | 56–34 | 62.22% |
| KoffI vs Heihachi | 44–41 | 51.76% |
| KoffI vs Law | 52–30 | 63.41% |
| KoffI vs Dragunov | 47–31 | 60.26% |
| KoffI vs Hwoarang | 44–32 | 57.89% |
| KoffI vs Jun | 40–24 | 62.50% |
| KoffI vs Devil Jin | 37–26 | 58.73% |
| KoffI vs Lili | 29–34 | 46.03% |
| KoffI vs Lars | 35–26 | 57.38% |
| KoffI vs Fahkumram | 31–27 | 53.45% |
| KoffI vs Paul | 32–23 | 58.18% |
| KoffI vs Yoshimitsu | 32–23 | 58.18% |
| KoffI vs Eddy | 29–26 | 52.73% |
| KoffI vs Lidia | 23–30 | 43.40% |
| KoffI vs Victor | 31–21 | 59.62% |
| KoffI vs Azucena | 24–26 | 48.00% |
| KoffI vs Leroy | 29–18 | 61.70% |
| KoffI vs Anna | 20–26 | 43.48% |
| KoffI vs Asuka | 24–21 | 53.33% |
| KoffI vs Lee | 17–24 | 41.46% |
| KoffI vs Claudio | 20–17 | 54.05% |
| KoffI vs Xiaoyu | 21–15 | 58.33% |
| KoffI vs Armor King | 24–7 | 77.42% |
| KoffI vs Jack-8 | 19–11 | 63.33% |
| KoffI vs Nina | 16–14 | 53.33% |
| KoffI vs Feng | 17–12 | 58.62% |
| KoffI vs Alisa | 9–13 | 40.91% |
| KoffI vs Leo | 12–8 | 60.00% |
| KoffI vs Zafina | 13–7 | 65.00% |
| KoffI vs Shaheen | 11–7 | 61.11% |
| KoffI vs Miary Zo | 12–5 | 70.59% |
| KoffI vs Raven | 10–6 | 62.50% |
| KoffI vs Panda | 11–3 | 78.57% |
| KoffI vs Kuma | 5–6 | 45.45% |
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.