Name history
| PaNsh | |
| PaNsh | K.O.D | |
| l like pain | |
| K.O.D| PaNsh | |
| K.O.D| taktaka | |
| YamiQ8 K.O.D~ | |
| YamiQ8[KOD] | |
| YamiQ8 | |
| YamiQ8 [KOD] |
| PaNsh vs Jin | 119–117 | 50.42% |
| PaNsh vs Kazuya | 98–105 | 48.28% |
| PaNsh vs King | 110–89 | 55.28% |
| PaNsh vs Bryan | 79–56 | 58.52% |
| PaNsh vs Law | 65–67 | 49.24% |
| PaNsh vs Dragunov | 72–49 | 59.50% |
| PaNsh vs Paul | 48–64 | 42.86% |
| PaNsh vs Hwoarang | 52–53 | 49.52% |
| PaNsh vs Nina | 55–46 | 54.46% |
| PaNsh vs Lee | 54–35 | 60.67% |
| PaNsh vs Feng | 46–32 | 58.97% |
| PaNsh vs Alisa | 49–28 | 63.64% |
| PaNsh vs Reina | 46–30 | 60.53% |
| PaNsh vs Steve | 33–35 | 48.53% |
| PaNsh vs Jun | 34–34 | 50.00% |
| PaNsh vs Eddy | 41–27 | 60.29% |
| PaNsh vs Lili | 32–33 | 49.23% |
| PaNsh vs Heihachi | 41–24 | 63.08% |
| PaNsh vs Lars | 31–29 | 51.67% |
| PaNsh vs Yoshimitsu | 28–29 | 49.12% |
| PaNsh vs Devil Jin | 26–30 | 46.43% |
| PaNsh vs Victor | 27–19 | 58.70% |
| PaNsh vs Leroy | 26–17 | 60.47% |
| PaNsh vs Xiaoyu | 20–22 | 47.62% |
| PaNsh vs Jack-8 | 23–12 | 65.71% |
| PaNsh vs Asuka | 15–20 | 42.86% |
| PaNsh vs Anna | 12–20 | 37.50% |
| PaNsh vs Armor King | 23–8 | 74.19% |
| PaNsh vs Claudio | 18–11 | 62.07% |
| PaNsh vs Azucena | 14–13 | 51.85% |
| PaNsh vs Kuma | 11–13 | 45.83% |
| PaNsh vs Lidia | 15–8 | 65.22% |
| PaNsh vs Leo | 13–9 | 59.09% |
| PaNsh vs Shaheen | 15–7 | 68.18% |
| PaNsh vs Clive | 14–8 | 63.64% |
| PaNsh vs Fahkumram | 9–6 | 60.00% |
| PaNsh vs Raven | 7–6 | 53.85% |
| PaNsh vs Zafina | 2–7 | 22.22% |
| PaNsh vs Panda | 1–3 | 25.00% |
| PaNsh vs Miary Zo | 2–0 | 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.