Name history
kong | |
sweat licker | |
softdique | |
sechs | |
armpit licker | |
Jazz | |
armpitlicker | |
finfinfin | |
Rendezvouz | |
milk from girl | |
fever dream | |
AnitaMaxwynn | |
Hawk Tuah | |
WhichWitch | |
diao ni la | |
Delirious | |
MozillaFireFOX | |
Bandit Belly | |
Gyatt | |
LingMaNaXu | |
Trans | |
Armpit Licker | |
WaiFaiXeTinQi | |
furli | |
Armpit licker | |
M.Gek | |
grek | |
chocolatebanana | |
Rendezvous |
kong vs Jin | 154–107 | 59.00% |
kong vs Bryan | 121–91 | 57.08% |
kong vs Dragunov | 127–78 | 61.95% |
kong vs Kazuya | 109–85–1 | 56.19% |
kong vs King | 92–76 | 54.76% |
kong vs Reina | 89–73 | 54.94% |
kong vs Law | 98–52 | 65.33% |
kong vs Yoshimitsu | 75–71 | 51.37% |
kong vs Hwoarang | 85–57 | 59.86% |
kong vs Steve | 82–58 | 58.57% |
kong vs Victor | 83–55 | 60.14% |
kong vs Lili | 82–52 | 61.19% |
kong vs Heihachi | 66–68 | 49.25% |
kong vs Feng | 78–51 | 60.47% |
kong vs Paul | 75–47 | 61.48% |
kong vs Lee | 59–53 | 52.68% |
kong vs Shaheen | 55–56 | 49.55% |
kong vs Nina | 62–48 | 56.36% |
kong vs Eddy | 64–41 | 60.95% |
kong vs Jun | 52–46 | 53.06% |
kong vs Devil Jin | 45–51 | 46.88% |
kong vs Lars | 56–37 | 60.22% |
kong vs Asuka | 63–28 | 69.23% |
kong vs Alisa | 57–34 | 62.64% |
kong vs Jack-8 | 49–41 | 54.44% |
kong vs Xiaoyu | 45–43 | 51.14% |
kong vs Claudio | 50–38 | 56.82% |
kong vs Zafina | 42–30 | 58.33% |
kong vs Leo | 48–23 | 67.61% |
kong vs Raven | 31–35 | 46.97% |
kong vs Lidia | 32–31 | 50.79% |
kong vs Azucena | 33–29 | 53.23% |
kong vs Kuma | 24–35 | 40.68% |
kong vs Leroy | 37–22 | 62.71% |
kong vs Clive | 18–39 | 31.58% |
kong vs Panda | 14–7 | 66.67% |
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.