| aariph vs King | 77–126 | 37.93% |
| aariph vs Steve | 91–112 | 44.83% |
| aariph vs Bryan | 72–97 | 42.60% |
| aariph vs Kazuya | 54–113 | 32.34% |
| aariph vs Reina | 72–90 | 44.44% |
| aariph vs Dragunov | 49–111–1 | 30.63% |
| aariph vs Jin | 51–104 | 32.90% |
| aariph vs Law | 48–88 | 35.29% |
| aariph vs Heihachi | 30–76 | 28.30% |
| aariph vs Hwoarang | 34–66 | 34.00% |
| aariph vs Lili | 24–66 | 26.67% |
| aariph vs Victor | 33–53 | 38.37% |
| aariph vs Jun | 36–44 | 45.00% |
| aariph vs Yoshimitsu | 27–51 | 34.62% |
| aariph vs Lars | 27–46 | 36.99% |
| aariph vs Paul | 23–49 | 31.94% |
| aariph vs Asuka | 35–35 | 50.00% |
| aariph vs Lee | 26–44 | 37.14% |
| aariph vs Eddy | 26–36 | 41.94% |
| aariph vs Clive | 13–49 | 20.97% |
| aariph vs Devil Jin | 21–38 | 35.59% |
| aariph vs Alisa | 24–34 | 41.38% |
| aariph vs Azucena | 20–38 | 34.48% |
| aariph vs Xiaoyu | 21–34 | 38.18% |
| aariph vs Nina | 13–39 | 25.00% |
| aariph vs Armor King | 9–36 | 20.00% |
| aariph vs Leo | 13–31 | 29.55% |
| aariph vs Claudio | 12–31 | 27.91% |
| aariph vs Anna | 10–28 | 26.32% |
| aariph vs Leroy | 8–25 | 24.24% |
| aariph vs Feng | 9–22 | 29.03% |
| aariph vs Lidia | 11–17 | 39.29% |
| aariph vs Fahkumram | 11–15 | 42.31% |
| aariph vs Jack-8 | 4–20 | 16.67% |
| aariph vs Kuma | 5–12 | 29.41% |
| aariph vs Shaheen | 3–12 | 20.00% |
| aariph vs Panda | 2–12 | 14.29% |
| aariph vs Raven | 8–4 | 66.67% |
| aariph vs Zafina | 3–4 | 42.86% |
| aariph vs Miary Zo | 2–2 | 50.00% |
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.