Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Natalie
2FtL-qfif-g7eB xbox GainfulMars2195

Ratings

Natalie vs Jin 52–80 39.39%
Natalie vs Hwoarang 54–72 42.86%
Natalie vs King 46–78 37.10%
Natalie vs Kazuya 43–61 41.35%
Natalie vs Steve 50–52 49.02%
Natalie vs Armor King 41–50 45.05%
Natalie vs Law 36–52 40.91%
Natalie vs Heihachi 40–45 47.06%
Natalie vs Bryan 33–50 39.76%
Natalie vs Lili 37–37 50.00%
Natalie vs Dragunov 24–46 34.29%
Natalie vs Reina 31–37 45.59%
Natalie vs Asuka 22–29 43.14%
Natalie vs Nina 27–24 52.94%
Natalie vs Paul 21–28 42.86%
Natalie vs Lee 15–28 34.88%
Natalie vs Jun 21–20 51.22%
Natalie vs Azucena 13–27 32.50%
Natalie vs Yoshimitsu 17–22 43.59%
Natalie vs Anna 14–22 38.89%
Natalie vs Fahkumram 5–30 14.29%
Natalie vs Raven 14–20 41.18%
Natalie vs Lidia 16–18 47.06%
Natalie vs Miary Zo 10–24 29.41%
Natalie vs Lars 16–17 48.48%
Natalie vs Eddy 10–23 30.30%
Natalie vs Clive 17–14 54.84%
Natalie vs Victor 13–17 43.33%
Natalie vs Xiaoyu 13–16 44.83%
Natalie vs Alisa 13–16 44.83%
Natalie vs Feng 13–12 52.00%
Natalie vs Devil Jin 9–15 37.50%
Natalie vs Jack-8 7–13 35.00%
Natalie vs Claudio 9–7 56.25%
Natalie vs Leroy 6–9 40.00%
Natalie vs Leo 5–3 62.50%
Natalie vs Kuma 6–2 75.00%
Natalie vs Zafina 2–4 33.33%
Natalie vs Shaheen 4–1 80.00%
Natalie vs Panda 2–0 100.00%

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.