Name history
| Tkelite Yin | |
| Tkelite yin | |
| TkeliteClone#1 | |
| Tk Clone 001 | |
| AuroraAquafina | |
| SapphireAurora | |
| SapphireAstral |
| Tkelite Yin vs Jin | 92–69 | 57.14% |
| Tkelite Yin vs Kazuya | 87–64 | 57.62% |
| Tkelite Yin vs Reina | 67–69 | 49.26% |
| Tkelite Yin vs Hwoarang | 80–38 | 67.80% |
| Tkelite Yin vs Bryan | 80–38 | 67.80% |
| Tkelite Yin vs Steve | 61–41 | 59.80% |
| Tkelite Yin vs King | 57–41 | 58.16% |
| Tkelite Yin vs Dragunov | 50–44 | 53.19% |
| Tkelite Yin vs Lidia | 37–57 | 39.36% |
| Tkelite Yin vs Law | 62–29 | 68.13% |
| Tkelite Yin vs Eddy | 56–32 | 63.64% |
| Tkelite Yin vs Nina | 56–26 | 68.29% |
| Tkelite Yin vs Asuka | 46–34 | 57.50% |
| Tkelite Yin vs Jun | 40–38 | 51.28% |
| Tkelite Yin vs Lee | 42–33 | 56.00% |
| Tkelite Yin vs Paul | 40–29 | 57.97% |
| Tkelite Yin vs Lars | 42–26 | 61.76% |
| Tkelite Yin vs Azucena | 35–33 | 51.47% |
| Tkelite Yin vs Lili | 47–20 | 70.15% |
| Tkelite Yin vs Yoshimitsu | 37–23 | 61.67% |
| Tkelite Yin vs Xiaoyu | 38–21 | 64.41% |
| Tkelite Yin vs Devil Jin | 27–23 | 54.00% |
| Tkelite Yin vs Leo | 21–27 | 43.75% |
| Tkelite Yin vs Alisa | 29–15 | 65.91% |
| Tkelite Yin vs Claudio | 28–12 | 70.00% |
| Tkelite Yin vs Victor | 17–23 | 42.50% |
| Tkelite Yin vs Raven | 27–13 | 67.50% |
| Tkelite Yin vs Feng | 17–20 | 45.95% |
| Tkelite Yin vs Jack-8 | 15–20 | 42.86% |
| Tkelite Yin vs Leroy | 11–23 | 32.35% |
| Tkelite Yin vs Zafina | 15–8 | 65.22% |
| Tkelite Yin vs Heihachi | 14–9 | 60.87% |
| Tkelite Yin vs Shaheen | 11–10 | 52.38% |
| Tkelite Yin vs Clive | 9–11 | 45.00% |
| Tkelite Yin vs Panda | 10–5 | 66.67% |
| Tkelite Yin vs Kuma | 6–4 | 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.