Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
YT_HelloMonkeys

Ratings

YT_HelloMonkeys vs Armor King 112–105 51.61%
YT_HelloMonkeys vs Kazuya 69–90 43.40%
YT_HelloMonkeys vs Law 66–76 46.48%
YT_HelloMonkeys vs Steve 60–59 50.42%
YT_HelloMonkeys vs King 57–55 50.89%
YT_HelloMonkeys vs Jin 56–55 50.45%
YT_HelloMonkeys vs Bryan 51–58 46.79%
YT_HelloMonkeys vs Hwoarang 39–47 45.35%
YT_HelloMonkeys vs Heihachi 40–42 48.78%
YT_HelloMonkeys vs Reina 29–52 35.80%
YT_HelloMonkeys vs Paul 41–30 57.75%
YT_HelloMonkeys vs Lee 30–33 47.62%
YT_HelloMonkeys vs Lars 28–32 46.67%
YT_HelloMonkeys vs Devil Jin 30–28 51.72%
YT_HelloMonkeys vs Fahkumram 28–30 48.28%
YT_HelloMonkeys vs Dragunov 24–30 44.44%
YT_HelloMonkeys vs Eddy 27–27 50.00%
YT_HelloMonkeys vs Yoshimitsu 27–26 50.94%
YT_HelloMonkeys vs Nina 28–23 54.90%
YT_HelloMonkeys vs Azucena 24–26 48.00%
YT_HelloMonkeys vs Jack-8 25–23 52.08%
YT_HelloMonkeys vs Lili 16–32 33.33%
YT_HelloMonkeys vs Asuka 19–27 41.30%
YT_HelloMonkeys vs Victor 26–20 56.52%
YT_HelloMonkeys vs Lidia 19–26 42.22%
YT_HelloMonkeys vs Miary Zo 18–24 42.86%
YT_HelloMonkeys vs Jun 22–17 56.41%
YT_HelloMonkeys vs Alisa 11–24 31.43%
YT_HelloMonkeys vs Raven 16–18 47.06%
YT_HelloMonkeys vs Feng 16–17 48.48%
YT_HelloMonkeys vs Clive 11–22 33.33%
YT_HelloMonkeys vs Anna 18–12 60.00%
YT_HelloMonkeys vs Kuma 13–15 46.43%
YT_HelloMonkeys vs Zafina 13–15 46.43%
YT_HelloMonkeys vs Leo 12–11 52.17%
YT_HelloMonkeys vs Xiaoyu 11–8 57.89%
YT_HelloMonkeys vs Claudio 5–12 29.41%
YT_HelloMonkeys vs Leroy 9–8 52.94%
YT_HelloMonkeys vs Shaheen 6–9 40.00%
YT_HelloMonkeys vs Panda 2–2 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.