Name history
| Spam Likely | |
| Mmmm | |
| Prac | |
| Fuc it | |
| Fucc it | |
| Cuhh | |
| Help Me | |
| Ok ok | |
| Doug Dimmadome | |
| Chillin | |
| Girls Gone Wild | |
| Snow | |
| GGzz | |
| Dinkleberg | |
| Trying2Learn |
| Spam Likely vs Jin | 90–64 | 58.44% |
| Spam Likely vs Kazuya | 78–51 | 60.47% |
| Spam Likely vs Eddy | 60–52 | 53.57% |
| Spam Likely vs Bryan | 60–46 | 56.60% |
| Spam Likely vs Law | 62–36 | 63.27% |
| Spam Likely vs King | 71–27 | 72.45% |
| Spam Likely vs Hwoarang | 64–32 | 66.67% |
| Spam Likely vs Reina | 59–28 | 67.82% |
| Spam Likely vs Dragunov | 42–41 | 50.60% |
| Spam Likely vs Steve | 48–25 | 65.75% |
| Spam Likely vs Feng | 31–42 | 42.47% |
| Spam Likely vs Lili | 45–27 | 62.50% |
| Spam Likely vs Lars | 36–28 | 56.25% |
| Spam Likely vs Azucena | 37–26 | 58.73% |
| Spam Likely vs Victor | 26–37 | 41.27% |
| Spam Likely vs Paul | 40–20 | 66.67% |
| Spam Likely vs Asuka | 27–31 | 46.55% |
| Spam Likely vs Jun | 29–26 | 52.73% |
| Spam Likely vs Lee | 19–34 | 35.85% |
| Spam Likely vs Leo | 25–25 | 50.00% |
| Spam Likely vs Yoshimitsu | 21–21–1 | 50.00% |
| Spam Likely vs Devil Jin | 19–22 | 46.34% |
| Spam Likely vs Leroy | 16–25 | 39.02% |
| Spam Likely vs Nina | 24–16 | 60.00% |
| Spam Likely vs Raven | 20–20 | 50.00% |
| Spam Likely vs Xiaoyu | 16–16 | 50.00% |
| Spam Likely vs Alisa | 18–13 | 58.06% |
| Spam Likely vs Kuma | 11–18 | 37.93% |
| Spam Likely vs Jack-8 | 15–8 | 65.22% |
| Spam Likely vs Armor King | 13–9 | 59.09% |
| Spam Likely vs Shaheen | 13–8 | 61.90% |
| Spam Likely vs Claudio | 11–5 | 68.75% |
| Spam Likely vs Panda | 9–7 | 56.25% |
| Spam Likely vs Miary Zo | 7–2 | 77.78% |
| Spam Likely vs Fahkumram | 2–6 | 25.00% |
| Spam Likely vs Zafina | 3–4 | 42.86% |
| Spam Likely vs Heihachi | 4–2 | 66.67% |
| Spam Likely vs Clive | 3–3 | 50.00% |
| Spam Likely vs Lidia | 3–2 | 60.00% |
| Spam Likely vs Anna | 2–1 | 66.67% |
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.