Name history
| A1 Smurf | |
| A1 Plugs | |
| Smurf Spanking | |
| Smurf Mashing | |
| It slipped out | |
| YAHOOOO | |
| Goofy Goober | |
| Dr. H | |
| BUCK MY NUT | |
| Butter My Bread | |
| WTF NERF VIC |
| A1 Smurf vs Kazuya | 31–47 | 39.74% |
| A1 Smurf vs Jin | 30–32–1 | 48.39% |
| A1 Smurf vs Bryan | 31–32 | 49.21% |
| A1 Smurf vs Steve | 30–25 | 54.55% |
| A1 Smurf vs King | 26–26 | 50.00% |
| A1 Smurf vs Azucena | 24–26 | 48.00% |
| A1 Smurf vs Reina | 24–23 | 51.06% |
| A1 Smurf vs Lili | 16–28 | 36.36% |
| A1 Smurf vs Hwoarang | 20–22 | 47.62% |
| A1 Smurf vs Lidia | 20–19 | 51.28% |
| A1 Smurf vs Yoshimitsu | 20–14 | 58.82% |
| A1 Smurf vs Asuka | 16–18 | 47.06% |
| A1 Smurf vs Leo | 16–18 | 47.06% |
| A1 Smurf vs Dragunov | 9–22 | 29.03% |
| A1 Smurf vs Law | 15–15 | 50.00% |
| A1 Smurf vs Lee | 7–21 | 25.00% |
| A1 Smurf vs Jun | 12–15 | 44.44% |
| A1 Smurf vs Victor | 12–12 | 50.00% |
| A1 Smurf vs Nina | 12–11 | 52.17% |
| A1 Smurf vs Xiaoyu | 13–8 | 61.90% |
| A1 Smurf vs Paul | 8–11 | 42.11% |
| A1 Smurf vs Lars | 2–16 | 11.11% |
| A1 Smurf vs Leroy | 10–7 | 58.82% |
| A1 Smurf vs Eddy | 12–4 | 75.00% |
| A1 Smurf vs Feng | 6–8 | 42.86% |
| A1 Smurf vs Kuma | 5–9 | 35.71% |
| A1 Smurf vs Raven | 7–7 | 50.00% |
| A1 Smurf vs Alisa | 5–7 | 41.67% |
| A1 Smurf vs Heihachi | 6–6 | 50.00% |
| A1 Smurf vs Devil Jin | 6–5 | 54.55% |
| A1 Smurf vs Jack-8 | 4–5 | 44.44% |
| A1 Smurf vs Zafina | 1–7 | 12.50% |
| A1 Smurf vs Claudio | 3–4 | 42.86% |
| A1 Smurf vs Shaheen | 3–3 | 50.00% |
| A1 Smurf vs Panda | 1–0 | 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.