| JANxARC vs Kazuya | 134–144 | 48.20% |
| JANxARC vs Jin | 112–154 | 42.11% |
| JANxARC vs Dragunov | 122–114 | 51.69% |
| JANxARC vs Reina | 117–93 | 55.71% |
| JANxARC vs King | 88–96 | 47.83% |
| JANxARC vs Steve | 89–88 | 50.28% |
| JANxARC vs Bryan | 86–85 | 50.29% |
| JANxARC vs Lili | 76–70 | 52.05% |
| JANxARC vs Paul | 66–70 | 48.53% |
| JANxARC vs Law | 58–65 | 47.15% |
| JANxARC vs Victor | 56–65 | 46.28% |
| JANxARC vs Hwoarang | 45–73 | 38.14% |
| JANxARC vs Heihachi | 51–56 | 47.66% |
| JANxARC vs Devil Jin | 54–51 | 51.43% |
| JANxARC vs Yoshimitsu | 36–60 | 37.50% |
| JANxARC vs Asuka | 38–50 | 43.18% |
| JANxARC vs Jun | 45–42 | 51.72% |
| JANxARC vs Eddy | 35–44 | 44.30% |
| JANxARC vs Lee | 26–45 | 36.62% |
| JANxARC vs Claudio | 32–36 | 47.06% |
| JANxARC vs Azucena | 30–35 | 46.15% |
| JANxARC vs Xiaoyu | 34–28 | 54.84% |
| JANxARC vs Lars | 26–36 | 41.94% |
| JANxARC vs Feng | 27–33–1 | 45.00% |
| JANxARC vs Jack-8 | 28–32 | 46.67% |
| JANxARC vs Clive | 33–27 | 55.00% |
| JANxARC vs Lidia | 20–39 | 33.90% |
| JANxARC vs Nina | 32–25 | 56.14% |
| JANxARC vs Leo | 24–30 | 44.44% |
| JANxARC vs Shaheen | 17–31 | 35.42% |
| JANxARC vs Alisa | 14–32 | 30.43% |
| JANxARC vs Armor King | 20–23 | 46.51% |
| JANxARC vs Fahkumram | 18–22 | 45.00% |
| JANxARC vs Leroy | 19–20 | 48.72% |
| JANxARC vs Raven | 12–26 | 31.58% |
| JANxARC vs Anna | 20–11 | 64.52% |
| JANxARC vs Zafina | 12–17 | 41.38% |
| JANxARC vs Kuma | 10–10 | 50.00% |
| JANxARC vs Panda | 1–8 | 11.11% |
| JANxARC vs Miary Zo | 1–4 | 20.00% |
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.