| smBarrel vs Kazuya | 75–75 | 50.00% |
| smBarrel vs Reina | 65–68 | 48.87% |
| smBarrel vs King | 47–63 | 42.73% |
| smBarrel vs Heihachi | 43–59–1 | 42.16% |
| smBarrel vs Jin | 34–68 | 33.33% |
| smBarrel vs Bryan | 42–41 | 50.60% |
| smBarrel vs Jun | 39–42 | 48.15% |
| smBarrel vs Lili | 31–49 | 38.75% |
| smBarrel vs Law | 30–45 | 40.00% |
| smBarrel vs Steve | 24–45 | 34.78% |
| smBarrel vs Yoshimitsu | 28–40 | 41.18% |
| smBarrel vs Dragunov | 23–44 | 34.33% |
| smBarrel vs Hwoarang | 26–39 | 40.00% |
| smBarrel vs Asuka | 29–31 | 48.33% |
| smBarrel vs Devil Jin | 24–35 | 40.68% |
| smBarrel vs Nina | 25–27 | 48.08% |
| smBarrel vs Armor King | 21–27 | 43.75% |
| smBarrel vs Lars | 14–31 | 31.11% |
| smBarrel vs Victor | 21–22 | 48.84% |
| smBarrel vs Feng | 13–25 | 34.21% |
| smBarrel vs Lidia | 18–19 | 48.65% |
| smBarrel vs Eddy | 22–14 | 61.11% |
| smBarrel vs Azucena | 13–22 | 37.14% |
| smBarrel vs Alisa | 10–24 | 29.41% |
| smBarrel vs Clive | 16–16 | 50.00% |
| smBarrel vs Xiaoyu | 12–19 | 38.71% |
| smBarrel vs Claudio | 15–16 | 48.39% |
| smBarrel vs Lee | 10–13 | 43.48% |
| smBarrel vs Zafina | 14–9 | 60.87% |
| smBarrel vs Paul | 5–16 | 23.81% |
| smBarrel vs Leo | 9–11 | 45.00% |
| smBarrel vs Jack-8 | 6–13 | 31.58% |
| smBarrel vs Leroy | 6–9 | 40.00% |
| smBarrel vs Shaheen | 5–9 | 35.71% |
| smBarrel vs Kuma | 2–8 | 20.00% |
| smBarrel vs Raven | 5–4 | 55.56% |
| smBarrel vs Panda | 2–4 | 33.33% |
| smBarrel vs Anna | 2–3 | 40.00% |
| smBarrel vs Fahkumram | 2–3 | 40.00% |
| smBarrel vs Miary Zo | 2–2 | 50.00% |
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.