| StopSpamN vs Jin | 53–28 | 65.43% |
| StopSpamN vs Kazuya | 48–30 | 61.54% |
| StopSpamN vs Reina | 41–29 | 58.57% |
| StopSpamN vs King | 32–32 | 50.00% |
| StopSpamN vs Hwoarang | 45–19 | 70.31% |
| StopSpamN vs Bryan | 42–18 | 70.00% |
| StopSpamN vs Steve | 34–24 | 58.62% |
| StopSpamN vs Dragunov | 21–35 | 37.50% |
| StopSpamN vs Law | 36–19 | 65.45% |
| StopSpamN vs Paul | 26–22 | 54.17% |
| StopSpamN vs Yoshimitsu | 21–24 | 46.67% |
| StopSpamN vs Lars | 23–17 | 57.50% |
| StopSpamN vs Lili | 24–15 | 61.54% |
| StopSpamN vs Victor | 19–15 | 55.88% |
| StopSpamN vs Eddy | 18–15 | 54.55% |
| StopSpamN vs Azucena | 15–15 | 50.00% |
| StopSpamN vs Lee | 15–14 | 51.72% |
| StopSpamN vs Feng | 15–12 | 55.56% |
| StopSpamN vs Fahkumram | 18–9 | 66.67% |
| StopSpamN vs Asuka | 7–19 | 26.92% |
| StopSpamN vs Nina | 17–8 | 68.00% |
| StopSpamN vs Alisa | 14–10 | 58.33% |
| StopSpamN vs Jun | 14–10 | 58.33% |
| StopSpamN vs Lidia | 13–11 | 54.17% |
| StopSpamN vs Raven | 11–12 | 47.83% |
| StopSpamN vs Devil Jin | 10–12 | 45.45% |
| StopSpamN vs Heihachi | 11–11 | 50.00% |
| StopSpamN vs Kuma | 12–6 | 66.67% |
| StopSpamN vs Jack-8 | 10–7 | 58.82% |
| StopSpamN vs Leo | 9–8 | 52.94% |
| StopSpamN vs Claudio | 10–7 | 58.82% |
| StopSpamN vs Shaheen | 10–4 | 71.43% |
| StopSpamN vs Leroy | 5–9 | 35.71% |
| StopSpamN vs Anna | 2–11 | 15.38% |
| StopSpamN vs Clive | 7–4 | 63.64% |
| StopSpamN vs Xiaoyu | 4–5 | 44.44% |
| StopSpamN vs Zafina | 5–2 | 71.43% |
| StopSpamN vs Panda | 3–2 | 60.00% |
| StopSpamN vs Armor King | 0–2 | 0.00% |
| StopSpamN vs Miary Zo | 0–1 | 0.00% |
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.