| SPAM RISK vs Jin | 7–3 | 70.00% |
| SPAM RISK vs Bryan | 3–7 | 30.00% |
| SPAM RISK vs Lili | 6–3 | 66.67% |
| SPAM RISK vs Leroy | 6–3 | 66.67% |
| SPAM RISK vs King | 1–7 | 12.50% |
| SPAM RISK vs Steve | 3–4 | 42.86% |
| SPAM RISK vs Azucena | 3–4 | 42.86% |
| SPAM RISK vs Reina | 3–2 | 60.00% |
| SPAM RISK vs Law | 2–2 | 50.00% |
| SPAM RISK vs Xiaoyu | 0–4 | 0.00% |
| SPAM RISK vs Lars | 2–2 | 50.00% |
| SPAM RISK vs Kazuya | 1–2 | 33.33% |
| SPAM RISK vs Asuka | 0–3 | 0.00% |
| SPAM RISK vs Alisa | 1–2 | 33.33% |
| SPAM RISK vs Lee | 2–1 | 66.67% |
| SPAM RISK vs Jun | 3–0 | 100.00% |
| SPAM RISK vs Lidia | 2–1 | 66.67% |
| SPAM RISK vs Dragunov | 2–0 | 100.00% |
| SPAM RISK vs Nina | 2–0 | 100.00% |
| SPAM RISK vs Panda | 0–2 | 0.00% |
| SPAM RISK vs Zafina | 2–0 | 100.00% |
| SPAM RISK vs Leo | 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.