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TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kandar70 vs Kazuya 166–153 52.04%
Kandar70 vs Jin 166–117 58.66%
Kandar70 vs Bryan 129–117 52.44%
Kandar70 vs Heihachi 154–75 67.25%
Kandar70 vs Reina 98–85 53.55%
Kandar70 vs Paul 100–77 56.50%
Kandar70 vs King 105–72 59.32%
Kandar70 vs Steve 79–76 50.97%
Kandar70 vs Law 78–74 51.32%
Kandar70 vs Hwoarang 78–66 54.17%
Kandar70 vs Yoshimitsu 72–70 50.70%
Kandar70 vs Dragunov 72–69 51.06%
Kandar70 vs Devil Jin 65–61 51.59%
Kandar70 vs Lili 63–47 57.27%
Kandar70 vs Lee 61–48 55.96%
Kandar70 vs Jun 55–50 52.38%
Kandar70 vs Asuka 54–48 52.94%
Kandar70 vs Alisa 54–45 54.55%
Kandar70 vs Armor King 46–46 50.00%
Kandar70 vs Azucena 51–36 58.62%
Kandar70 vs Nina 44–41 51.76%
Kandar70 vs Clive 34–45 43.04%
Kandar70 vs Leroy 32–43 42.67%
Kandar70 vs Eddy 40–35 53.33%
Kandar70 vs Victor 45–28 61.64%
Kandar70 vs Feng 39–33 54.17%
Kandar70 vs Lidia 33–37 47.14%
Kandar70 vs Xiaoyu 39–29 57.35%
Kandar70 vs Leo 34–32 51.52%
Kandar70 vs Lars 38–28 57.58%
Kandar70 vs Claudio 31–32 49.21%
Kandar70 vs Jack-8 24–36 40.00%
Kandar70 vs Raven 31–22 58.49%
Kandar70 vs Zafina 15–23 39.47%
Kandar70 vs Anna 12–20 37.50%
Kandar70 vs Shaheen 15–14 51.72%
Kandar70 vs Fahkumram 8–13 38.10%
Kandar70 vs Kuma 9–11 45.00%
Kandar70 vs Panda 5–3 62.50%
Kandar70 vs Miary Zo 3–2 60.00%

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.