| aruma_1228 vs Miary Zo | 26–25 | 50.98% |
| aruma_1228 vs Armor King | 18–22 | 45.00% |
| aruma_1228 vs Reina | 20–12 | 62.50% |
| aruma_1228 vs Lili | 15–14 | 51.72% |
| aruma_1228 vs Paul | 14–13 | 51.85% |
| aruma_1228 vs Steve | 10–15 | 40.00% |
| aruma_1228 vs Feng | 15–8 | 65.22% |
| aruma_1228 vs King | 4–18 | 18.18% |
| aruma_1228 vs Kazuya | 12–10 | 54.55% |
| aruma_1228 vs Lidia | 9–13 | 40.91% |
| aruma_1228 vs Dragunov | 8–12 | 40.00% |
| aruma_1228 vs Jin | 7–12 | 36.84% |
| aruma_1228 vs Bryan | 9–9 | 50.00% |
| aruma_1228 vs Heihachi | 5–10 | 33.33% |
| aruma_1228 vs Claudio | 11–3 | 78.57% |
| aruma_1228 vs Law | 7–6 | 53.85% |
| aruma_1228 vs Alisa | 9–4 | 69.23% |
| aruma_1228 vs Clive | 8–5 | 61.54% |
| aruma_1228 vs Fahkumram | 10–2 | 83.33% |
| aruma_1228 vs Yoshimitsu | 5–6 | 45.45% |
| aruma_1228 vs Asuka | 6–5 | 54.55% |
| aruma_1228 vs Anna | 7–4 | 63.64% |
| aruma_1228 vs Lars | 6–4 | 60.00% |
| aruma_1228 vs Xiaoyu | 6–3 | 66.67% |
| aruma_1228 vs Jun | 6–3 | 66.67% |
| aruma_1228 vs Azucena | 3–5 | 37.50% |
| aruma_1228 vs Kuma | 4–3 | 57.14% |
| aruma_1228 vs Hwoarang | 2–4 | 33.33% |
| aruma_1228 vs Lee | 2–4 | 33.33% |
| aruma_1228 vs Victor | 6–0 | 100.00% |
| aruma_1228 vs Raven | 2–4 | 33.33% |
| aruma_1228 vs Nina | 2–2 | 50.00% |
| aruma_1228 vs Leroy | 0–4 | 0.00% |
| aruma_1228 vs Jack-8 | 0–3 | 0.00% |
| aruma_1228 vs Leo | 2–1 | 66.67% |
| aruma_1228 vs Panda | 2–1 | 66.67% |
| aruma_1228 vs Eddy | 3–0 | 100.00% |
| aruma_1228 vs Zafina | 2–0 | 100.00% |
| aruma_1228 vs Shaheen | 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.