Name history
| 12Tulips | |
| Chie100823 | |
| N1CHA | |
| Enid Sinclair | |
| Mikaela Banes | |
| Lee Soojin | |
| ATP | N1CHA | |
| ATP | PadPlayer | |
| ATP | PYR N1CHA | |
| ATP | Gowon | |
| ATP | F2+3 | |
| ATP N1CHA | |
| Charice Hermoso | |
| KAIA CHARICE |
| 12Tulips vs Jin | 87–92 | 48.60% |
| 12Tulips vs Dragunov | 70–87 | 44.59% |
| 12Tulips vs Kazuya | 73–74 | 49.66% |
| 12Tulips vs Bryan | 71–74 | 48.97% |
| 12Tulips vs King | 60–81 | 42.55% |
| 12Tulips vs Hwoarang | 56–79 | 41.48% |
| 12Tulips vs Paul | 49–67 | 42.24% |
| 12Tulips vs Fahkumram | 52–55 | 48.60% |
| 12Tulips vs Lili | 45–60 | 42.86% |
| 12Tulips vs Armor King | 52–53 | 49.52% |
| 12Tulips vs Heihachi | 48–51 | 48.48% |
| 12Tulips vs Asuka | 49–47 | 51.04% |
| 12Tulips vs Miary Zo | 66–29 | 69.47% |
| 12Tulips vs Reina | 40–46 | 46.51% |
| 12Tulips vs Law | 38–47 | 44.71% |
| 12Tulips vs Devil Jin | 47–37 | 55.95% |
| 12Tulips vs Yoshimitsu | 34–46 | 42.50% |
| 12Tulips vs Lee | 30–50 | 37.50% |
| 12Tulips vs Anna | 36–39 | 48.00% |
| 12Tulips vs Steve | 45–28 | 61.64% |
| 12Tulips vs Victor | 33–32 | 50.77% |
| 12Tulips vs Lars | 31–28 | 52.54% |
| 12Tulips vs Nina | 31–28 | 52.54% |
| 12Tulips vs Jun | 28–31 | 47.46% |
| 12Tulips vs Xiaoyu | 20–35 | 36.36% |
| 12Tulips vs Alisa | 18–36 | 33.33% |
| 12Tulips vs Clive | 23–31 | 42.59% |
| 12Tulips vs Leo | 26–20 | 56.52% |
| 12Tulips vs Shaheen | 22–23 | 48.89% |
| 12Tulips vs Lidia | 25–20 | 55.56% |
| 12Tulips vs Feng | 18–24 | 42.86% |
| 12Tulips vs Jack-8 | 15–26 | 36.59% |
| 12Tulips vs Azucena | 16–25 | 39.02% |
| 12Tulips vs Claudio | 18–22 | 45.00% |
| 12Tulips vs Eddy | 17–12 | 58.62% |
| 12Tulips vs Leroy | 8–17 | 32.00% |
| 12Tulips vs Raven | 14–8 | 63.64% |
| 12Tulips vs Panda | 5–13 | 27.78% |
| 12Tulips vs Kuma | 5–12 | 29.41% |
| 12Tulips vs Zafina | 6–6 | 50.00% |
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.