Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
AlgorithmicLove

Ratings

AlgorithmicLove vs Jin 912–738 55.27%
AlgorithmicLove vs Hwoarang 776–668 53.74%
AlgorithmicLove vs Bryan 647–656 49.65%
AlgorithmicLove vs Kazuya 581–683 45.97%
AlgorithmicLove vs King 632–620 50.48%
AlgorithmicLove vs Steve 488–590 45.27%
AlgorithmicLove vs Dragunov 581–487 54.40%
AlgorithmicLove vs Paul 493–551 47.22%
AlgorithmicLove vs Law 555–488 53.21%
AlgorithmicLove vs Lili 516–423 54.95%
AlgorithmicLove vs Lee 424–484 46.70%
AlgorithmicLove vs Reina 439–418 51.23%
AlgorithmicLove vs Lars 444–412 51.87%
AlgorithmicLove vs Devil Jin 453–393 53.55%
AlgorithmicLove vs Yoshimitsu 412–424 49.28%
AlgorithmicLove vs Nina 402–380 51.41%
AlgorithmicLove vs Heihachi 319–455 41.21%
AlgorithmicLove vs Xiaoyu 395–299 56.92%
AlgorithmicLove vs Alisa 362–305 54.27%
AlgorithmicLove vs Asuka 329–315 51.09%
AlgorithmicLove vs Zafina 336–306 52.34%
AlgorithmicLove vs Feng 312–323 49.13%
AlgorithmicLove vs Jun 312–289 51.91%
AlgorithmicLove vs Clive 295–287 50.69%
AlgorithmicLove vs Victor 330–246 57.29%
AlgorithmicLove vs Azucena 264–291 47.57%
AlgorithmicLove vs Raven 326–223 59.38%
AlgorithmicLove vs Claudio 231–311 42.62%
AlgorithmicLove vs Eddy 282–259 52.13%
AlgorithmicLove vs Leroy 230–261 46.84%
AlgorithmicLove vs Leo 203–260–1 43.84%
AlgorithmicLove vs Jack-8 201–239–1 45.68%
AlgorithmicLove vs Anna 175–213 45.10%
AlgorithmicLove vs Lidia 154–196 44.00%
AlgorithmicLove vs Kuma 168–151 52.66%
AlgorithmicLove vs Shaheen 124–157 44.13%
AlgorithmicLove vs Fahkumram 91–140 39.39%
AlgorithmicLove vs Armor King 85–134 38.81%
AlgorithmicLove vs Panda 80–78 50.63%

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.