Name history
| uram | |
| ㅇㅇ(39.7) | |
| suis | |
| ㅇㅇㅇㅇ | |
| 負け犬にアンコールはいらない | |
| 또리야또리야또리야또리야또리야 | |
| 13프레임초풍 | |
| gksdnfka0 |
| uram vs Kazuya | 96–120 | 44.44% |
| uram vs Armor King | 87–124 | 41.23% |
| uram vs Steve | 56–82 | 40.58% |
| uram vs Dragunov | 62–74 | 45.59% |
| uram vs Bryan | 46–80 | 36.51% |
| uram vs Reina | 54–70 | 43.55% |
| uram vs King | 43–79 | 35.25% |
| uram vs Paul | 46–73 | 38.66% |
| uram vs Jin | 48–70 | 40.68% |
| uram vs Hwoarang | 29–61 | 32.22% |
| uram vs Yoshimitsu | 44–42 | 51.16% |
| uram vs Miary Zo | 41–37 | 52.56% |
| uram vs Lili | 35–40 | 46.67% |
| uram vs Asuka | 28–42 | 40.00% |
| uram vs Fahkumram | 16–48 | 25.00% |
| uram vs Devil Jin | 31–31 | 50.00% |
| uram vs Law | 17–44 | 27.87% |
| uram vs Victor | 24–37 | 39.34% |
| uram vs Jun | 31–28 | 52.54% |
| uram vs Leroy | 29–22 | 56.86% |
| uram vs Heihachi | 19–32 | 37.25% |
| uram vs Claudio | 21–28 | 42.86% |
| uram vs Xiaoyu | 22–21 | 51.16% |
| uram vs Clive | 20–22 | 47.62% |
| uram vs Lidia | 17–23 | 42.50% |
| uram vs Lee | 15–19 | 44.12% |
| uram vs Lars | 9–22 | 29.03% |
| uram vs Azucena | 11–20 | 35.48% |
| uram vs Jack-8 | 9–19 | 32.14% |
| uram vs Feng | 8–20 | 28.57% |
| uram vs Nina | 8–20 | 28.57% |
| uram vs Alisa | 4–23 | 14.81% |
| uram vs Anna | 8–16 | 33.33% |
| uram vs Leo | 10–9 | 52.63% |
| uram vs Kuma | 6–12 | 33.33% |
| uram vs Shaheen | 8–8 | 50.00% |
| uram vs Raven | 2–14 | 12.50% |
| uram vs Panda | 8–7 | 53.33% |
| uram vs Eddy | 3–11 | 21.43% |
| uram vs Zafina | 7–6 | 53.85% |
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.