Name history
| Forg | |
| ☜☝☞☟ | |
| Slop 8 | |
| GͥOͣDͫ✧⎠*¤°•. | |
| ✾✾✾✾✾✾✾✾✾✾✾✾✾✾✾ | |
| //// | |
| yessirski | |
| Baboonbama | |
| ■■■■■■■■■■■■■■■ | |
| ahhhhhhhhhhhhhh | |
| .,.,.,.,.,.,.,. | |
| what is a 236? | |
| Sugondese | |
| +frames 8 | |
| Sungondese |
| Forg vs Bryan | 95–46 | 67.38% |
| Forg vs Heihachi | 90–41 | 68.70% |
| Forg vs Kazuya | 85–43 | 66.41% |
| Forg vs Reina | 91–29 | 75.83% |
| Forg vs King | 69–44 | 61.06% |
| Forg vs Jin | 79–26 | 75.24% |
| Forg vs Steve | 50–38 | 56.82% |
| Forg vs Azucena | 57–16 | 78.08% |
| Forg vs Lee | 40–30 | 57.14% |
| Forg vs Jun | 54–15 | 78.26% |
| Forg vs Dragunov | 42–25 | 62.69% |
| Forg vs Asuka | 40–24 | 62.50% |
| Forg vs Devil Jin | 39–20 | 66.10% |
| Forg vs Paul | 32–25 | 56.14% |
| Forg vs Lili | 44–13 | 77.19% |
| Forg vs Nina | 33–22 | 60.00% |
| Forg vs Law | 32–22 | 59.26% |
| Forg vs Hwoarang | 37–14 | 72.55% |
| Forg vs Armor King | 31–19 | 62.00% |
| Forg vs Yoshimitsu | 39–10 | 79.59% |
| Forg vs Lidia | 35–12 | 74.47% |
| Forg vs Clive | 36–11 | 76.60% |
| Forg vs Victor | 28–11 | 71.79% |
| Forg vs Leo | 21–17 | 55.26% |
| Forg vs Xiaoyu | 23–14 | 62.16% |
| Forg vs Feng | 25–12 | 67.57% |
| Forg vs Lars | 25–11 | 69.44% |
| Forg vs Shaheen | 25–7 | 78.12% |
| Forg vs Kuma | 16–16 | 50.00% |
| Forg vs Jack-8 | 21–6 | 77.78% |
| Forg vs Eddy | 16–11 | 59.26% |
| Forg vs Alisa | 14–11 | 56.00% |
| Forg vs Claudio | 9–12 | 42.86% |
| Forg vs Raven | 8–8 | 50.00% |
| Forg vs Leroy | 11–4 | 73.33% |
| Forg vs Fahkumram | 9–1 | 90.00% |
| Forg vs Miary Zo | 8–2 | 80.00% |
| Forg vs Panda | 5–4 | 55.56% |
| Forg vs Zafina | 3–4 | 42.86% |
| Forg vs Anna | 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.