Name history
| giggity | |
| Madni Tiyara | |
| tekken enjoyer | |
| tekken7isbetter | |
| BappaIlyasQadri | |
| Tekken Enjoyer | |
| Paksitani Jin | |
| Flip Mode | |
| PepeJulianOnzma | |
| PepeJulinOnzema | |
| Pls No KiCharge | |
| Scrub |
| giggity vs Kazuya | 167–159 | 51.23% |
| giggity vs Dragunov | 170–136 | 55.56% |
| giggity vs Jin | 148–136 | 52.11% |
| giggity vs Bryan | 138–113 | 54.98% |
| giggity vs King | 130–108 | 54.62% |
| giggity vs Paul | 84–90 | 48.28% |
| giggity vs Devil Jin | 91–67 | 57.59% |
| giggity vs Heihachi | 62–91 | 40.52% |
| giggity vs Yoshimitsu | 77–64 | 54.61% |
| giggity vs Reina | 77–54 | 58.78% |
| giggity vs Law | 74–47 | 61.16% |
| giggity vs Feng | 50–69 | 42.02% |
| giggity vs Steve | 56–56 | 50.00% |
| giggity vs Nina | 41–67 | 37.96% |
| giggity vs Hwoarang | 43–59 | 42.16% |
| giggity vs Victor | 60–37 | 61.86% |
| giggity vs Jack-8 | 32–41 | 43.84% |
| giggity vs Claudio | 23–42 | 35.38% |
| giggity vs Alisa | 31–30 | 50.82% |
| giggity vs Lidia | 28–33 | 45.90% |
| giggity vs Lee | 31–29 | 51.67% |
| giggity vs Azucena | 28–31 | 47.46% |
| giggity vs Lars | 29–28 | 50.88% |
| giggity vs Jun | 28–29 | 49.12% |
| giggity vs Clive | 20–33 | 37.74% |
| giggity vs Lili | 22–29 | 43.14% |
| giggity vs Leroy | 22–29 | 43.14% |
| giggity vs Shaheen | 17–29 | 36.96% |
| giggity vs Asuka | 22–23 | 48.89% |
| giggity vs Leo | 22–23 | 48.89% |
| giggity vs Xiaoyu | 19–24 | 44.19% |
| giggity vs Zafina | 20–17 | 54.05% |
| giggity vs Kuma | 15–18 | 45.45% |
| giggity vs Raven | 9–23 | 28.12% |
| giggity vs Eddy | 13–18 | 41.94% |
| giggity vs Panda | 1–4 | 20.00% |
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.