Name history
| unchosen | |
| s3 i lab fr fr | |
| typhoonz | |
| CZN PLAYER | |
| kappachungus | |
| dfqwrfasr | |
| online hiatusxd | |
| rediscovering | |
| Ashwa | |
| demon time 7 | |
| add for ft5 pls | |
| buff kaz amk | |
| BUDDHAMENTAL |
| unchosen vs Jin | 119–83 | 58.91% |
| unchosen vs Kazuya | 104–82 | 55.91% |
| unchosen vs Bryan | 97–74 | 56.73% |
| unchosen vs Dragunov | 83–67 | 55.33% |
| unchosen vs Reina | 97–52 | 65.10% |
| unchosen vs Devil Jin | 88–55 | 61.54% |
| unchosen vs Lee | 67–67 | 50.00% |
| unchosen vs King | 70–55 | 56.00% |
| unchosen vs Steve | 60–65 | 48.00% |
| unchosen vs Yoshimitsu | 63–59 | 51.64% |
| unchosen vs Lili | 71–50 | 58.68% |
| unchosen vs Hwoarang | 72–47 | 60.50% |
| unchosen vs Law | 78–39 | 66.67% |
| unchosen vs Raven | 60–47 | 56.07% |
| unchosen vs Xiaoyu | 56–47 | 54.37% |
| unchosen vs Feng | 61–42 | 59.22% |
| unchosen vs Lars | 50–45 | 52.63% |
| unchosen vs Azucena | 47–44 | 51.65% |
| unchosen vs Victor | 44–47 | 48.35% |
| unchosen vs Alisa | 45–42 | 51.72% |
| unchosen vs Paul | 53–30 | 63.86% |
| unchosen vs Nina | 29–44 | 39.73% |
| unchosen vs Jun | 43–29 | 59.72% |
| unchosen vs Zafina | 28–42 | 40.00% |
| unchosen vs Asuka | 36–32 | 52.94% |
| unchosen vs Claudio | 37–30 | 55.22% |
| unchosen vs Eddy | 42–23 | 64.62% |
| unchosen vs Jack-8 | 30–33 | 47.62% |
| unchosen vs Leo | 38–22 | 63.33% |
| unchosen vs Kuma | 27–24 | 52.94% |
| unchosen vs Leroy | 23–23 | 50.00% |
| unchosen vs Heihachi | 25–17 | 59.52% |
| unchosen vs Shaheen | 19–14 | 57.58% |
| unchosen vs Panda | 13–6 | 68.42% |
| unchosen vs Armor King | 11–6 | 64.71% |
| unchosen vs Clive | 5–10 | 33.33% |
| unchosen vs Lidia | 6–6 | 50.00% |
| unchosen vs Miary Zo | 5–5 | 50.00% |
| unchosen vs Fahkumram | 5–2 | 71.43% |
| unchosen vs Anna | 2–2 | 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.