Name history
| PanoBaMagTekken | |
| LetsLearnTekken | |
| LetsLearnFrames | |
| iWantToLearnTK | |
| afk=playingLoL | |
| playingLeagueRN | |
| idkAnyFrameData | |
| LetsLearnNoSpam | |
| oren |
| PanoBaMagTekken vs Jin | 156–144 | 52.00% |
| PanoBaMagTekken vs Dragunov | 133–143 | 48.19% |
| PanoBaMagTekken vs King | 149–125 | 54.38% |
| PanoBaMagTekken vs Kazuya | 144–124 | 53.73% |
| PanoBaMagTekken vs Hwoarang | 101–133 | 43.16% |
| PanoBaMagTekken vs Bryan | 102–119 | 46.15% |
| PanoBaMagTekken vs Reina | 112–98 | 53.33% |
| PanoBaMagTekken vs Paul | 75–105 | 41.67% |
| PanoBaMagTekken vs Lars | 81–88 | 47.93% |
| PanoBaMagTekken vs Law | 72–94 | 43.37% |
| PanoBaMagTekken vs Victor | 85–81 | 51.20% |
| PanoBaMagTekken vs Lili | 76–88 | 46.34% |
| PanoBaMagTekken vs Asuka | 61–92 | 39.87% |
| PanoBaMagTekken vs Devil Jin | 66–79 | 45.52% |
| PanoBaMagTekken vs Yoshimitsu | 72–71 | 50.35% |
| PanoBaMagTekken vs Heihachi | 64–75 | 46.04% |
| PanoBaMagTekken vs Azucena | 66–72 | 47.83% |
| PanoBaMagTekken vs Steve | 61–74 | 45.19% |
| PanoBaMagTekken vs Jun | 55–79 | 41.04% |
| PanoBaMagTekken vs Feng | 52–70 | 42.62% |
| PanoBaMagTekken vs Xiaoyu | 47–55–1 | 46.08% |
| PanoBaMagTekken vs Claudio | 42–58 | 42.00% |
| PanoBaMagTekken vs Eddy | 42–58 | 42.00% |
| PanoBaMagTekken vs Alisa | 39–60 | 39.39% |
| PanoBaMagTekken vs Nina | 50–48 | 51.02% |
| PanoBaMagTekken vs Lee | 42–51 | 45.16% |
| PanoBaMagTekken vs Leo | 30–38 | 44.12% |
| PanoBaMagTekken vs Raven | 28–34 | 45.16% |
| PanoBaMagTekken vs Leroy | 23–36 | 38.98% |
| PanoBaMagTekken vs Shaheen | 22–30 | 42.31% |
| PanoBaMagTekken vs Jack-8 | 17–33 | 34.00% |
| PanoBaMagTekken vs Zafina | 24–26 | 48.00% |
| PanoBaMagTekken vs Lidia | 21–22 | 48.84% |
| PanoBaMagTekken vs Kuma | 14–18 | 43.75% |
| PanoBaMagTekken vs Panda | 11–17 | 39.29% |
| PanoBaMagTekken vs Clive | 2–1 | 66.67% |
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.