Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MilkIron vs Kazuya 155–133 53.82%
MilkIron vs King 106–87 54.92%
MilkIron vs Jin 105–88 54.40%
MilkIron vs Bryan 113–80 58.55%
MilkIron vs Dragunov 84–70 54.55%
MilkIron vs Heihachi 67–62 51.94%
MilkIron vs Armor King 42–74 36.21%
MilkIron vs Law 43–55 43.88%
MilkIron vs Paul 47–46 50.54%
MilkIron vs Steve 47–46 50.54%
MilkIron vs Yoshimitsu 46–42 52.27%
MilkIron vs Reina 49–34 59.04%
MilkIron vs Devil Jin 38–37 50.67%
MilkIron vs Anna 29–42 40.85%
MilkIron vs Lili 38–29 56.72%
MilkIron vs Hwoarang 31–34 47.69%
MilkIron vs Lee 34–29 53.97%
MilkIron vs Eddy 22–29 43.14%
MilkIron vs Clive 22–24 47.83%
MilkIron vs Fahkumram 24–22 52.17%
MilkIron vs Nina 18–22 45.00%
MilkIron vs Asuka 17–22 43.59%
MilkIron vs Azucena 21–14 60.00%
MilkIron vs Xiaoyu 19–15 55.88%
MilkIron vs Alisa 17–17 50.00%
MilkIron vs Victor 15–19 44.12%
MilkIron vs Jun 16–16 50.00%
MilkIron vs Lars 17–14 54.84%
MilkIron vs Lidia 10–20 33.33%
MilkIron vs Feng 11–17 39.29%
MilkIron vs Claudio 10–16 38.46%
MilkIron vs Miary Zo 9–13 40.91%
MilkIron vs Jack-8 10–8 55.56%
MilkIron vs Leroy 3–12 20.00%
MilkIron vs Kuma 8–5 61.54%
MilkIron vs Shaheen 9–3 75.00%
MilkIron vs Raven 4–8 33.33%
MilkIron vs Zafina 4–5 44.44%
MilkIron vs Panda 1–4 20.00%
MilkIron vs Leo 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.