Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
[노인정] 하나둘셋

Ratings

[노인정] 하나둘셋 vs Paul 42–44 48.84%
[노인정] 하나둘셋 vs King 43–42 50.59%
[노인정] 하나둘셋 vs Dragunov 38–46 45.24%
[노인정] 하나둘셋 vs Hwoarang 45–36 55.56%
[노인정] 하나둘셋 vs Reina 45–28 61.64%
[노인정] 하나둘셋 vs Jin 37–35 51.39%
[노인정] 하나둘셋 vs Kazuya 30–34 46.88%
[노인정] 하나둘셋 vs Bryan 27–34 44.26%
[노인정] 하나둘셋 vs Law 24–31 43.64%
[노인정] 하나둘셋 vs Victor 27–27 50.00%
[노인정] 하나둘셋 vs Asuka 28–18 60.87%
[노인정] 하나둘셋 vs Steve 23–21 52.27%
[노인정] 하나둘셋 vs Devil Jin 18–21 46.15%
[노인정] 하나둘셋 vs Jun 23–16 58.97%
[노인정] 하나둘셋 vs Lili 16–20 44.44%
[노인정] 하나둘셋 vs Yoshimitsu 19–15 55.88%
[노인정] 하나둘셋 vs Fahkumram 19–15 55.88%
[노인정] 하나둘셋 vs Azucena 18–13 58.06%
[노인정] 하나둘셋 vs Xiaoyu 16–11 59.26%
[노인정] 하나둘셋 vs Eddy 15–12 55.56%
[노인정] 하나둘셋 vs Heihachi 15–12 55.56%
[노인정] 하나둘셋 vs Nina 10–16 38.46%
[노인정] 하나둘셋 vs Alisa 12–12 50.00%
[노인정] 하나둘셋 vs Leo 9–14 39.13%
[노인정] 하나둘셋 vs Jack-8 9–13 40.91%
[노인정] 하나둘셋 vs Lidia 12–8 60.00%
[노인정] 하나둘셋 vs Feng 8–11 42.11%
[노인정] 하나둘셋 vs Lars 10–9 52.63%
[노인정] 하나둘셋 vs Leroy 11–8 57.89%
[노인정] 하나둘셋 vs Claudio 6–10 37.50%
[노인정] 하나둘셋 vs Lee 6–10 37.50%
[노인정] 하나둘셋 vs Shaheen 3–12 20.00%
[노인정] 하나둘셋 vs Kuma 12–2 85.71%
[노인정] 하나둘셋 vs Zafina 3–7 30.00%
[노인정] 하나둘셋 vs Panda 5–4 55.56%
[노인정] 하나둘셋 vs Raven 3–6 33.33%
[노인정] 하나둘셋 vs Clive 4–3 57.14%
[노인정] 하나둘셋 vs Anna 2–5 28.57%
[노인정] 하나둘셋 vs Armor King 0–1 0.00%

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.