iTzM0nkxy vs Kazuya | 38–25 | 60.32% |
iTzM0nkxy vs Jin | 28–27 | 50.91% |
iTzM0nkxy vs Reina | 25–20 | 55.56% |
iTzM0nkxy vs Bryan | 17–25 | 40.48% |
iTzM0nkxy vs Steve | 24–16 | 60.00% |
iTzM0nkxy vs Dragunov | 18–17 | 51.43% |
iTzM0nkxy vs Eddy | 21–13 | 61.76% |
iTzM0nkxy vs Lili | 17–14 | 54.84% |
iTzM0nkxy vs Clive | 15–15 | 50.00% |
iTzM0nkxy vs Hwoarang | 14–14 | 50.00% |
iTzM0nkxy vs Paul | 8–18 | 30.77% |
iTzM0nkxy vs King | 18–8 | 69.23% |
iTzM0nkxy vs Lee | 16–9 | 64.00% |
iTzM0nkxy vs Asuka | 14–9 | 60.87% |
iTzM0nkxy vs Yoshimitsu | 13–8 | 61.90% |
iTzM0nkxy vs Lars | 11–10 | 52.38% |
iTzM0nkxy vs Heihachi | 13–8 | 61.90% |
iTzM0nkxy vs Law | 13–6 | 68.42% |
iTzM0nkxy vs Devil Jin | 12–6 | 66.67% |
iTzM0nkxy vs Jun | 8–10 | 44.44% |
iTzM0nkxy vs Victor | 12–5 | 70.59% |
iTzM0nkxy vs Feng | 12–4 | 75.00% |
iTzM0nkxy vs Jack-8 | 9–6 | 60.00% |
iTzM0nkxy vs Leo | 10–5 | 66.67% |
iTzM0nkxy vs Alisa | 9–5 | 64.29% |
iTzM0nkxy vs Leroy | 6–7 | 46.15% |
iTzM0nkxy vs Azucena | 6–7 | 46.15% |
iTzM0nkxy vs Lidia | 2–9 | 18.18% |
iTzM0nkxy vs Nina | 7–2 | 77.78% |
iTzM0nkxy vs Zafina | 3–5 | 37.50% |
iTzM0nkxy vs Xiaoyu | 2–4 | 33.33% |
iTzM0nkxy vs Claudio | 5–1 | 83.33% |
iTzM0nkxy vs Raven | 4–0 | 100.00% |
iTzM0nkxy vs Kuma | 1–2 | 33.33% |
iTzM0nkxy vs Shaheen | 0–2 | 0.00% |
iTzM0nkxy vs Panda | 0–2 | 0.00% |
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.