| Rillaboomer11 vs King | 20–8 | 71.43% |
| Rillaboomer11 vs Lili | 14–13 | 51.85% |
| Rillaboomer11 vs Yoshimitsu | 22–4 | 84.62% |
| Rillaboomer11 vs Lars | 15–9 | 62.50% |
| Rillaboomer11 vs Eddy | 14–8 | 63.64% |
| Rillaboomer11 vs Hwoarang | 18–1 | 94.74% |
| Rillaboomer11 vs Bryan | 10–6 | 62.50% |
| Rillaboomer11 vs Paul | 9–5 | 64.29% |
| Rillaboomer11 vs Dragunov | 10–4 | 71.43% |
| Rillaboomer11 vs Reina | 9–5 | 64.29% |
| Rillaboomer11 vs Jin | 9–4 | 69.23% |
| Rillaboomer11 vs Steve | 10–3 | 76.92% |
| Rillaboomer11 vs Azucena | 5–8 | 38.46% |
| Rillaboomer11 vs Kazuya | 6–6 | 50.00% |
| Rillaboomer11 vs Jun | 9–1 | 90.00% |
| Rillaboomer11 vs Feng | 4–4 | 50.00% |
| Rillaboomer11 vs Nina | 8–0 | 100.00% |
| Rillaboomer11 vs Leroy | 5–3 | 62.50% |
| Rillaboomer11 vs Victor | 4–4 | 50.00% |
| Rillaboomer11 vs Xiaoyu | 5–1 | 83.33% |
| Rillaboomer11 vs Asuka | 3–3 | 50.00% |
| Rillaboomer11 vs Shaheen | 4–2 | 66.67% |
| Rillaboomer11 vs Lee | 2–4 | 33.33% |
| Rillaboomer11 vs Raven | 4–2 | 66.67% |
| Rillaboomer11 vs Law | 4–1 | 80.00% |
| Rillaboomer11 vs Devil Jin | 3–2 | 60.00% |
| Rillaboomer11 vs Jack-8 | 1–3 | 25.00% |
| Rillaboomer11 vs Leo | 0–4 | 0.00% |
| Rillaboomer11 vs Alisa | 1–2 | 33.33% |
| Rillaboomer11 vs Armor King | 3–0 | 100.00% |
| Rillaboomer11 vs Fahkumram | 2–0 | 100.00% |
| Rillaboomer11 vs Lidia | 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.