| ARLERS vs Jin | 140–118 | 54.26% |
| ARLERS vs Kazuya | 113–115 | 49.56% |
| ARLERS vs Reina | 102–112 | 47.66% |
| ARLERS vs King | 97–105 | 48.02% |
| ARLERS vs Bryan | 92–105 | 46.70% |
| ARLERS vs Hwoarang | 67–96 | 41.10% |
| ARLERS vs Heihachi | 61–91 | 40.13% |
| ARLERS vs Law | 67–76 | 46.85% |
| ARLERS vs Paul | 57–75 | 43.18% |
| ARLERS vs Devil Jin | 70–61 | 53.44% |
| ARLERS vs Dragunov | 62–69 | 47.33% |
| ARLERS vs Steve | 68–62 | 52.31% |
| ARLERS vs Lili | 57–63 | 47.50% |
| ARLERS vs Yoshimitsu | 48–65 | 42.48% |
| ARLERS vs Asuka | 61–47 | 56.48% |
| ARLERS vs Lee | 47–45 | 51.09% |
| ARLERS vs Lars | 37–54 | 40.66% |
| ARLERS vs Nina | 27–59 | 31.40% |
| ARLERS vs Jun | 39–42 | 48.15% |
| ARLERS vs Azucena | 40–41 | 49.38% |
| ARLERS vs Xiaoyu | 32–48 | 40.00% |
| ARLERS vs Eddy | 36–43 | 45.57% |
| ARLERS vs Victor | 35–39 | 47.30% |
| ARLERS vs Alisa | 34–30 | 53.12% |
| ARLERS vs Leroy | 26–35 | 42.62% |
| ARLERS vs Feng | 22–34 | 39.29% |
| ARLERS vs Leo | 18–32 | 36.00% |
| ARLERS vs Jack-8 | 20–19 | 51.28% |
| ARLERS vs Claudio | 33–5 | 86.84% |
| ARLERS vs Kuma | 14–19 | 42.42% |
| ARLERS vs Raven | 16–17 | 48.48% |
| ARLERS vs Lidia | 11–21 | 34.38% |
| ARLERS vs Zafina | 10–20 | 33.33% |
| ARLERS vs Fahkumram | 10–20 | 33.33% |
| ARLERS vs Shaheen | 16–13 | 55.17% |
| ARLERS vs Anna | 11–14 | 44.00% |
| ARLERS vs Clive | 9–12 | 42.86% |
| ARLERS vs Panda | 7–7 | 50.00% |
| ARLERS vs Armor King | 1–13 | 7.14% |
| ARLERS vs Miary Zo | 1–8 | 11.11% |
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.