Name history
TTV/ LShinya | |
HighLow | |
Shinya | |
IPPO | |
ItagakiManabu | |
Don't Blink! | |
Smash! | |
Fang! | |
shinya |
TTV/ LShinya vs Kazuya | 116–127 | 47.74% |
TTV/ LShinya vs Jin | 101–107 | 48.56% |
TTV/ LShinya vs King | 49–120 | 28.99% |
TTV/ LShinya vs Bryan | 66–87 | 43.14% |
TTV/ LShinya vs Steve | 68–52 | 56.67% |
TTV/ LShinya vs Hwoarang | 51–57 | 47.22% |
TTV/ LShinya vs Dragunov | 34–70 | 32.69% |
TTV/ LShinya vs Paul | 30–64 | 31.91% |
TTV/ LShinya vs Reina | 33–60 | 35.48% |
TTV/ LShinya vs Yoshimitsu | 34–49 | 40.96% |
TTV/ LShinya vs Eddy | 31–46 | 40.26% |
TTV/ LShinya vs Victor | 31–39 | 44.29% |
TTV/ LShinya vs Lili | 34–33 | 50.75% |
TTV/ LShinya vs Lee | 19–46 | 29.23% |
TTV/ LShinya vs Law | 26–36 | 41.94% |
TTV/ LShinya vs Asuka | 23–32 | 41.82% |
TTV/ LShinya vs Devil Jin | 21–34 | 38.18% |
TTV/ LShinya vs Heihachi | 18–37 | 32.73% |
TTV/ LShinya vs Azucena | 20–29 | 40.82% |
TTV/ LShinya vs Jun | 13–35 | 27.08% |
TTV/ LShinya vs Nina | 21–26 | 44.68% |
TTV/ LShinya vs Alisa | 10–26 | 27.78% |
TTV/ LShinya vs Feng | 10–25 | 28.57% |
TTV/ LShinya vs Claudio | 20–11 | 64.52% |
TTV/ LShinya vs Lars | 17–13 | 56.67% |
TTV/ LShinya vs Clive | 15–10 | 60.00% |
TTV/ LShinya vs Jack-8 | 5–19 | 20.83% |
TTV/ LShinya vs Xiaoyu | 8–12 | 40.00% |
TTV/ LShinya vs Kuma | 7–13 | 35.00% |
TTV/ LShinya vs Leroy | 6–11 | 35.29% |
TTV/ LShinya vs Leo | 5–10 | 33.33% |
TTV/ LShinya vs Lidia | 6–9 | 40.00% |
TTV/ LShinya vs Shaheen | 0–13 | 0.00% |
TTV/ LShinya vs Raven | 3–7 | 30.00% |
TTV/ LShinya vs Panda | 1–7 | 12.50% |
TTV/ LShinya vs Zafina | 1–5 | 16.67% |
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.