Slurms Mckenzie vs Jin | 25–42 | 37.31% |
Slurms Mckenzie vs Kazuya | 30–37 | 44.78% |
Slurms Mckenzie vs King | 31–30 | 50.82% |
Slurms Mckenzie vs Law | 29–25 | 53.70% |
Slurms Mckenzie vs Hwoarang | 17–29 | 36.96% |
Slurms Mckenzie vs Reina | 23–22 | 51.11% |
Slurms Mckenzie vs Bryan | 21–22 | 48.84% |
Slurms Mckenzie vs Paul | 17–25 | 40.48% |
Slurms Mckenzie vs Dragunov | 18–22 | 45.00% |
Slurms Mckenzie vs Yoshimitsu | 17–22 | 43.59% |
Slurms Mckenzie vs Eddy | 12–26 | 31.58% |
Slurms Mckenzie vs Lili | 12–25 | 32.43% |
Slurms Mckenzie vs Jun | 21–14 | 60.00% |
Slurms Mckenzie vs Azucena | 16–18 | 47.06% |
Slurms Mckenzie vs Steve | 17–13 | 56.67% |
Slurms Mckenzie vs Raven | 13–16 | 44.83% |
Slurms Mckenzie vs Asuka | 12–12 | 50.00% |
Slurms Mckenzie vs Lars | 10–12 | 45.45% |
Slurms Mckenzie vs Leo | 6–15 | 28.57% |
Slurms Mckenzie vs Nina | 7–14 | 33.33% |
Slurms Mckenzie vs Victor | 14–7 | 66.67% |
Slurms Mckenzie vs Lee | 5–15 | 25.00% |
Slurms Mckenzie vs Feng | 7–9 | 43.75% |
Slurms Mckenzie vs Xiaoyu | 5–7 | 41.67% |
Slurms Mckenzie vs Kuma | 3–9 | 25.00% |
Slurms Mckenzie vs Leroy | 6–6 | 50.00% |
Slurms Mckenzie vs Claudio | 5–6 | 45.45% |
Slurms Mckenzie vs Jack-8 | 1–9 | 10.00% |
Slurms Mckenzie vs Shaheen | 6–4 | 60.00% |
Slurms Mckenzie vs Lidia | 6–4 | 60.00% |
Slurms Mckenzie vs Devil Jin | 0–8 | 0.00% |
Slurms Mckenzie vs Zafina | 3–5 | 37.50% |
Slurms Mckenzie vs Alisa | 1–4 | 20.00% |
Slurms Mckenzie vs Panda | 3–2 | 60.00% |
Slurms Mckenzie vs Clive | 3–0 | 100.00% |
Slurms Mckenzie vs Heihachi | 1–1 | 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.