Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
kill lexi

Ratings

kill lexi vs Kazuya 83–88 48.54%
kill lexi vs Jin 89–63 58.55%
kill lexi vs Hwoarang 65–54 54.62%
kill lexi vs King 44–66 40.00%
kill lexi vs Lili 37–59 38.54%
kill lexi vs Reina 61–35 63.54%
kill lexi vs Bryan 45–47 48.91%
kill lexi vs Steve 51–28 64.56%
kill lexi vs Law 44–30 59.46%
kill lexi vs Dragunov 29–26 52.73%
kill lexi vs Jun 32–23 58.18%
kill lexi vs Azucena 29–25 53.70%
kill lexi vs Yoshimitsu 21–30 41.18%
kill lexi vs Devil Jin 17–30 36.17%
kill lexi vs Lee 27–18 60.00%
kill lexi vs Asuka 23–20 53.49%
kill lexi vs Paul 23–18 56.10%
kill lexi vs Heihachi 15–23 39.47%
kill lexi vs Nina 20–17 54.05%
kill lexi vs Alisa 15–21 41.67%
kill lexi vs Eddy 17–18 48.57%
kill lexi vs Feng 7–24 22.58%
kill lexi vs Lars 11–20 35.48%
kill lexi vs Xiaoyu 8–21 27.59%
kill lexi vs Jack-8 13–15 46.43%
kill lexi vs Leroy 17–11 60.71%
kill lexi vs Lidia 12–16 42.86%
kill lexi vs Victor 12–14 46.15%
kill lexi vs Claudio 12–7 63.16%
kill lexi vs Leo 9–6 60.00%
kill lexi vs Shaheen 5–6 45.45%
kill lexi vs Raven 3–8 27.27%
kill lexi vs Fahkumram 5–5 50.00%
kill lexi vs Armor King 5–5 50.00%
kill lexi vs Kuma 3–5 37.50%
kill lexi vs Clive 6–2 75.00%
kill lexi vs Anna 2–3 40.00%
kill lexi vs Zafina 2–2 50.00%
kill lexi vs Panda 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.