Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MarcoYolo vs King 80–71 52.98%
MarcoYolo vs Kazuya 82–65 55.78%
MarcoYolo vs Jin 68–77 46.90%
MarcoYolo vs Hwoarang 61–46 57.01%
MarcoYolo vs Heihachi 43–61 41.35%
MarcoYolo vs Law 38–55 40.86%
MarcoYolo vs Steve 42–49 46.15%
MarcoYolo vs Bryan 37–52 41.57%
MarcoYolo vs Reina 39–32 54.93%
MarcoYolo vs Lili 37–32 53.62%
MarcoYolo vs Lars 40–26 60.61%
MarcoYolo vs Yoshimitsu 30–32 48.39%
MarcoYolo vs Azucena 31–31 50.00%
MarcoYolo vs Jun 37–24 60.66%
MarcoYolo vs Xiaoyu 28–31 47.46%
MarcoYolo vs Lee 22–35 38.60%
MarcoYolo vs Nina 26–28 48.15%
MarcoYolo vs Paul 19–30 38.78%
MarcoYolo vs Asuka 24–23 51.06%
MarcoYolo vs Lidia 25–22 53.19%
MarcoYolo vs Eddy 28–16 63.64%
MarcoYolo vs Dragunov 21–20 51.22%
MarcoYolo vs Leo 18–22 45.00%
MarcoYolo vs Clive 18–22 45.00%
MarcoYolo vs Feng 15–20 42.86%
MarcoYolo vs Alisa 15–19 44.12%
MarcoYolo vs Anna 12–19 38.71%
MarcoYolo vs Jack-8 10–19 34.48%
MarcoYolo vs Victor 18–10 64.29%
MarcoYolo vs Leroy 15–12 55.56%
MarcoYolo vs Devil Jin 10–13 43.48%
MarcoYolo vs Kuma 10–9 52.63%
MarcoYolo vs Fahkumram 8–11 42.11%
MarcoYolo vs Raven 7–11 38.89%
MarcoYolo vs Zafina 5–8 38.46%
MarcoYolo vs Claudio 2–7 22.22%
MarcoYolo vs Shaheen 3–6 33.33%
MarcoYolo vs Panda 3–5 37.50%
MarcoYolo vs Armor King 5–2 71.43%

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.