Name history
800歳おじぃ | |
800歳おじいちゃんプレイヤー | |
バトルエリア店員 | |
73歳おばあちゃんプレイヤー | |
81歳おじいちゃんプレイヤー | |
LP570 |
800歳おじぃ vs Heihachi | 36–28 | 56.25% |
800歳おじぃ vs Reina | 35–23 | 60.34% |
800歳おじぃ vs Kazuya | 28–29 | 49.12% |
800歳おじぃ vs Jin | 35–19 | 64.81% |
800歳おじぃ vs Asuka | 25–25 | 50.00% |
800歳おじぃ vs Lili | 21–20 | 51.22% |
800歳おじぃ vs Paul | 20–20 | 50.00% |
800歳おじぃ vs Dragunov | 15–24 | 38.46% |
800歳おじぃ vs Law | 20–16 | 55.56% |
800歳おじぃ vs King | 20–12 | 62.50% |
800歳おじぃ vs Feng | 18–13 | 58.06% |
800歳おじぃ vs Xiaoyu | 22–7 | 75.86% |
800歳おじぃ vs Nina | 20–8 | 71.43% |
800歳おじぃ vs Hwoarang | 11–15 | 42.31% |
800歳おじぃ vs Azucena | 9–15 | 37.50% |
800歳おじぃ vs Jun | 12–10 | 54.55% |
800歳おじぃ vs Yoshimitsu | 8–12 | 40.00% |
800歳おじぃ vs Bryan | 8–12 | 40.00% |
800歳おじぃ vs Lars | 8–12 | 40.00% |
800歳おじぃ vs Lidia | 12–7 | 63.16% |
800歳おじぃ vs Devil Jin | 7–11 | 38.89% |
800歳おじぃ vs Alisa | 8–8 | 50.00% |
800歳おじぃ vs Steve | 8–7 | 53.33% |
800歳おじぃ vs Lee | 7–7 | 50.00% |
800歳おじぃ vs Zafina | 6–7 | 46.15% |
800歳おじぃ vs Victor | 6–6 | 50.00% |
800歳おじぃ vs Jack-8 | 5–6 | 45.45% |
800歳おじぃ vs Leo | 3–8 | 27.27% |
800歳おじぃ vs Claudio | 3–6 | 33.33% |
800歳おじぃ vs Leroy | 4–5 | 44.44% |
800歳おじぃ vs Eddy | 4–5 | 44.44% |
800歳おじぃ vs Kuma | 1–5 | 16.67% |
800歳おじぃ vs Raven | 3–3 | 50.00% |
800歳おじぃ vs Panda | 0–4 | 0.00% |
800歳おじぃ vs Shaheen | 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.