Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
T-1000

Ratings

T-1000 vs Law 40–59 40.40%
T-1000 vs Jin 40–58 40.82%
T-1000 vs Hwoarang 27–53 33.75%
T-1000 vs Steve 35–35 50.00%
T-1000 vs Kazuya 30–39 43.48%
T-1000 vs King 19–37 33.93%
T-1000 vs Armor King 18–28 39.13%
T-1000 vs Lili 22–23 48.89%
T-1000 vs Bryan 24–14 63.16%
T-1000 vs Dragunov 17–18 48.57%
T-1000 vs Fahkumram 18–16 52.94%
T-1000 vs Reina 14–19 42.42%
T-1000 vs Victor 13–20 39.39%
T-1000 vs Heihachi 6–27 18.18%
T-1000 vs Miary Zo 11–20 35.48%
T-1000 vs Paul 6–24 20.00%
T-1000 vs Nina 10–20 33.33%
T-1000 vs Jun 12–17 41.38%
T-1000 vs Yoshimitsu 12–16 42.86%
T-1000 vs Eddy 10–18 35.71%
T-1000 vs Xiaoyu 7–16 30.43%
T-1000 vs Alisa 7–14 33.33%
T-1000 vs Anna 11–10 52.38%
T-1000 vs Asuka 5–15 25.00%
T-1000 vs Lee 8–12 40.00%
T-1000 vs Leroy 8–10 44.44%
T-1000 vs Devil Jin 4–12 25.00%
T-1000 vs Lars 5–11 31.25%
T-1000 vs Azucena 6–10 37.50%
T-1000 vs Clive 7–9 43.75%
T-1000 vs Feng 5–9 35.71%
T-1000 vs Jack-8 4–9 30.77%
T-1000 vs Lidia 7–5 58.33%
T-1000 vs Claudio 4–7 36.36%
T-1000 vs Raven 3–4 42.86%
T-1000 vs Shaheen 4–2 66.67%
T-1000 vs Leo 2–3 40.00%
T-1000 vs Kuma 2–3 40.00%
T-1000 vs Zafina 2–1 66.67%
T-1000 vs Panda 1–0 100.00%

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.