Name history
| Screme | |
| Ttv/Scremenerp | |
| T.Tv/Scremenerp | |
| T.tv/Scremenerp | |
| ttv/Scremenerp |
| Screme vs Kazuya | 173–150 | 53.56% |
| Screme vs Bryan | 140–128 | 52.24% |
| Screme vs Jin | 115–138 | 45.45% |
| Screme vs Reina | 125–104 | 54.59% |
| Screme vs King | 116–103 | 52.97% |
| Screme vs Lee | 91–103 | 46.91% |
| Screme vs Hwoarang | 82–90 | 47.67% |
| Screme vs Paul | 73–78 | 48.34% |
| Screme vs Dragunov | 70–78 | 47.30% |
| Screme vs Yoshimitsu | 81–64 | 55.86% |
| Screme vs Heihachi | 68–74 | 47.89% |
| Screme vs Lili | 56–74 | 43.08% |
| Screme vs Steve | 60–68 | 46.88% |
| Screme vs Law | 52–61 | 46.02% |
| Screme vs Devil Jin | 54–51 | 51.43% |
| Screme vs Jun | 58–38 | 60.42% |
| Screme vs Asuka | 56–39 | 58.95% |
| Screme vs Armor King | 42–47 | 47.19% |
| Screme vs Victor | 49–33 | 59.76% |
| Screme vs Feng | 36–42 | 46.15% |
| Screme vs Raven | 30–48 | 38.46% |
| Screme vs Lidia | 39–39 | 50.00% |
| Screme vs Nina | 25–45 | 35.71% |
| Screme vs Xiaoyu | 34–33 | 50.75% |
| Screme vs Leroy | 37–29 | 56.06% |
| Screme vs Alisa | 33–31 | 51.56% |
| Screme vs Azucena | 33–31 | 51.56% |
| Screme vs Lars | 30–31 | 49.18% |
| Screme vs Eddy | 35–26 | 57.38% |
| Screme vs Leo | 22–37 | 37.29% |
| Screme vs Jack-8 | 31–27 | 53.45% |
| Screme vs Claudio | 26–31 | 45.61% |
| Screme vs Shaheen | 21–19 | 52.50% |
| Screme vs Zafina | 19–18 | 51.35% |
| Screme vs Miary Zo | 19–18 | 51.35% |
| Screme vs Kuma | 12–12 | 50.00% |
| Screme vs Clive | 9–12 | 42.86% |
| Screme vs Panda | 11–8 | 57.89% |
| Screme vs Anna | 13–6 | 68.42% |
| Screme vs Fahkumram | 7–10 | 41.18% |
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.