Name history
Kel mls ngerank | 28 Sep 2024 |
I miss tekken5 | 17 Aug 2024 |
Dhuz | 8 Aug 2024 |
Kel mls ngerank vs Reina | 14–0 | 100.00% |
Kel mls ngerank vs Kazuya | 10–3 | 76.92% |
Kel mls ngerank vs Asuka | 11–0 | 100.00% |
Kel mls ngerank vs Law | 7–1 | 87.50% |
Kel mls ngerank vs Yoshimitsu | 4–2 | 66.67% |
Kel mls ngerank vs Jin | 4–2 | 66.67% |
Kel mls ngerank vs Alisa | 3–2 | 60.00% |
Kel mls ngerank vs King | 4–0 | 100.00% |
Kel mls ngerank vs Hwoarang | 3–1 | 75.00% |
Kel mls ngerank vs Victor | 4–0 | 100.00% |
Kel mls ngerank vs Eddy | 4–0 | 100.00% |
Kel mls ngerank vs Lee | 3–1 | 75.00% |
Kel mls ngerank vs Lili | 3–0 | 100.00% |
Kel mls ngerank vs Bryan | 3–0 | 100.00% |
Kel mls ngerank vs Steve | 2–1 | 66.67% |
Kel mls ngerank vs Devil Jin | 2–0 | 100.00% |
Kel mls ngerank vs Feng | 2–0 | 100.00% |
Kel mls ngerank vs Lars | 1–1 | 50.00% |
Kel mls ngerank vs Claudio | 2–0 | 100.00% |
Kel mls ngerank vs Jun | 2–0 | 100.00% |
Kel mls ngerank vs Dragunov | 0–2 | 0.00% |
Kel mls ngerank vs Shaheen | 1–0 | 100.00% |
Kel mls ngerank vs Lidia | 1–0 | 100.00% |
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.