Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

STEVE NGAWI
Steve Ngawi
4dyatma
Joseph
' K '
''K''
Another One
Axelius290
Adyatma_BV
Axelius
STEVE NGAWI vs Kazuya 18–33 35.29%
STEVE NGAWI vs Heihachi 18–30 37.50%
STEVE NGAWI vs Jin 16–29 35.56%
STEVE NGAWI vs Reina 20–19 51.28%
STEVE NGAWI vs King 13–22 37.14%
STEVE NGAWI vs Steve 18–16 52.94%
STEVE NGAWI vs Hwoarang 8–12 40.00%
STEVE NGAWI vs Lili 6–14 30.00%
STEVE NGAWI vs Dragunov 8–12 40.00%
STEVE NGAWI vs Bryan 10–9 52.63%
STEVE NGAWI vs Lars 7–9 43.75%
STEVE NGAWI vs Victor 3–13 18.75%
STEVE NGAWI vs Law 6–8 42.86%
STEVE NGAWI vs Azucena 6–8 42.86%
STEVE NGAWI vs Yoshimitsu 4–9 30.77%
STEVE NGAWI vs Asuka 8–5 61.54%
STEVE NGAWI vs Nina 4–8 33.33%
STEVE NGAWI vs Paul 2–8 20.00%
STEVE NGAWI vs Jack-8 2–8 20.00%
STEVE NGAWI vs Jun 4–5 44.44%
STEVE NGAWI vs Lidia 4–5 44.44%
STEVE NGAWI vs Feng 1–7 12.50%
STEVE NGAWI vs Claudio 3–5 37.50%
STEVE NGAWI vs Leroy 3–5 37.50%
STEVE NGAWI vs Raven 5–3 62.50%
STEVE NGAWI vs Devil Jin 4–3 57.14%
STEVE NGAWI vs Eddy 3–4 42.86%
STEVE NGAWI vs Lee 4–2 66.67%
STEVE NGAWI vs Zafina 1–5 16.67%
STEVE NGAWI vs Alisa 1–3 25.00%
STEVE NGAWI vs Xiaoyu 0–2 0.00%
STEVE NGAWI vs Leo 1–1 50.00%
STEVE NGAWI vs Kuma 2–0 100.00%
STEVE NGAWI vs Shaheen 0–1 0.00%
STEVE NGAWI 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.