| simsqo vs Reina | 71–58 | 55.04% |
| simsqo vs Paul | 73–40 | 64.60% |
| simsqo vs King | 67–45 | 59.82% |
| simsqo vs Kazuya | 54–54 | 50.00% |
| simsqo vs Asuka | 56–46 | 54.90% |
| simsqo vs Bryan | 46–48 | 48.94% |
| simsqo vs Lidia | 54–40 | 57.45% |
| simsqo vs Jin | 52–39 | 57.14% |
| simsqo vs Lili | 45–40 | 52.94% |
| simsqo vs Alisa | 53–29 | 64.63% |
| simsqo vs Dragunov | 52–27 | 65.82% |
| simsqo vs Nina | 37–37 | 50.00% |
| simsqo vs Xiaoyu | 41–32 | 56.16% |
| simsqo vs Lee | 40–28 | 58.82% |
| simsqo vs Jun | 45–23 | 66.18% |
| simsqo vs Victor | 34–32 | 51.52% |
| simsqo vs Law | 41–24 | 63.08% |
| simsqo vs Heihachi | 30–35 | 46.15% |
| simsqo vs Clive | 35–30 | 53.85% |
| simsqo vs Steve | 23–40 | 36.51% |
| simsqo vs Hwoarang | 30–30 | 50.00% |
| simsqo vs Feng | 36–21 | 63.16% |
| simsqo vs Yoshimitsu | 27–27 | 50.00% |
| simsqo vs Leo | 21–25 | 45.65% |
| simsqo vs Azucena | 25–17 | 59.52% |
| simsqo vs Raven | 20–22 | 47.62% |
| simsqo vs Lars | 16–24 | 40.00% |
| simsqo vs Armor King | 19–21 | 47.50% |
| simsqo vs Devil Jin | 20–19 | 51.28% |
| simsqo vs Jack-8 | 23–13 | 63.89% |
| simsqo vs Claudio | 15–17 | 46.88% |
| simsqo vs Kuma | 15–16 | 48.39% |
| simsqo vs Eddy | 18–11 | 62.07% |
| simsqo vs Zafina | 16–12 | 57.14% |
| simsqo vs Leroy | 12–12 | 50.00% |
| simsqo vs Panda | 11–11 | 50.00% |
| simsqo vs Anna | 15–7 | 68.18% |
| simsqo vs Shaheen | 6–13 | 31.58% |
| simsqo vs Fahkumram | 10–1 | 90.91% |
| simsqo vs Miary Zo | 1–2 | 33.33% |
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.