Name history
IPC|WolfNyc | |
WolfNyc | |
WolfNyc(Oribe) | |
Fundamentals | |
Anti Aggressive | |
WolfOkami | |
Dojomember 1 | |
TG | WolfNyc | |
Wolfnyc |
IPC|WolfNyc vs Jin | 34–27 | 55.74% |
IPC|WolfNyc vs Steve | 29–28 | 50.88% |
IPC|WolfNyc vs Bryan | 35–17 | 67.31% |
IPC|WolfNyc vs Feng | 27–20 | 57.45% |
IPC|WolfNyc vs Xiaoyu | 21–23 | 47.73% |
IPC|WolfNyc vs Nina | 25–14 | 64.10% |
IPC|WolfNyc vs Reina | 22–17 | 56.41% |
IPC|WolfNyc vs Raven | 25–14 | 64.10% |
IPC|WolfNyc vs Jack-8 | 20–18 | 52.63% |
IPC|WolfNyc vs King | 25–12 | 67.57% |
IPC|WolfNyc vs Jun | 17–20 | 45.95% |
IPC|WolfNyc vs Devil Jin | 16–20 | 44.44% |
IPC|WolfNyc vs Eddy | 13–23 | 36.11% |
IPC|WolfNyc vs Law | 17–17 | 50.00% |
IPC|WolfNyc vs Paul | 16–17 | 48.48% |
IPC|WolfNyc vs Kazuya | 19–14 | 57.58% |
IPC|WolfNyc vs Azucena | 14–19 | 42.42% |
IPC|WolfNyc vs Dragunov | 17–15 | 53.12% |
IPC|WolfNyc vs Lee | 20–12 | 62.50% |
IPC|WolfNyc vs Alisa | 17–13 | 56.67% |
IPC|WolfNyc vs Lars | 17–12 | 58.62% |
IPC|WolfNyc vs Zafina | 14–15 | 48.28% |
IPC|WolfNyc vs Hwoarang | 12–15 | 44.44% |
IPC|WolfNyc vs Leroy | 13–11 | 54.17% |
IPC|WolfNyc vs Lili | 14–9 | 60.87% |
IPC|WolfNyc vs Yoshimitsu | 16–6 | 72.73% |
IPC|WolfNyc vs Victor | 9–12 | 42.86% |
IPC|WolfNyc vs Leo | 16–1 | 94.12% |
IPC|WolfNyc vs Asuka | 13–3 | 81.25% |
IPC|WolfNyc vs Shaheen | 6–9 | 40.00% |
IPC|WolfNyc vs Claudio | 11–3 | 78.57% |
IPC|WolfNyc vs Kuma | 4–6 | 40.00% |
IPC|WolfNyc vs Panda | 5–2 | 71.43% |
IPC|WolfNyc vs Heihachi | 1–4 | 20.00% |
IPC|WolfNyc vs Lidia | 4–0 | 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.