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TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

McHartles vs Kazuya 59–42 58.42%
McHartles vs Law 57–31 64.77%
McHartles vs Jin 43–42 50.59%
McHartles vs Steve 39–32 54.93%
McHartles vs Reina 27–39 40.91%
McHartles vs Bryan 31–23 57.41%
McHartles vs Hwoarang 26–27 49.06%
McHartles vs King 28–23 54.90%
McHartles vs Armor King 22–29 43.14%
McHartles vs Heihachi 21–23 47.73%
McHartles vs Yoshimitsu 16–21 43.24%
McHartles vs Dragunov 19–18 51.35%
McHartles vs Paul 13–22 37.14%
McHartles vs Xiaoyu 18–14 56.25%
McHartles vs Fahkumram 18–14 56.25%
McHartles vs Feng 19–12 61.29%
McHartles vs Azucena 13–17 43.33%
McHartles vs Devil Jin 13–16 44.83%
McHartles vs Asuka 13–14 48.15%
McHartles vs Lee 8–18 30.77%
McHartles vs Nina 11–14 44.00%
McHartles vs Miary Zo 8–17 32.00%
McHartles vs Raven 5–17 22.73%
McHartles vs Leroy 9–12 42.86%
McHartles vs Lili 11–8 57.89%
McHartles vs Eddy 7–12 36.84%
McHartles vs Victor 9–9 50.00%
McHartles vs Jun 12–4 75.00%
McHartles vs Lidia 11–3 78.57%
McHartles vs Lars 4–9 30.77%
McHartles vs Clive 8–5 61.54%
McHartles vs Alisa 5–6–1 45.45%
McHartles vs Anna 3–8 27.27%
McHartles vs Leo 5–5 50.00%
McHartles vs Shaheen 7–3 70.00%
McHartles vs Zafina 6–4 60.00%
McHartles vs Claudio 2–5 28.57%
McHartles vs Kuma 0–4 0.00%
McHartles vs Jack-8 2–0 100.00%
McHartles 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.