| ArcAngl vs Kazuya | 88–97 | 47.57% |
| ArcAngl vs Jin | 57–118 | 32.57% |
| ArcAngl vs King | 75–90 | 45.45% |
| ArcAngl vs Reina | 58–81 | 41.73% |
| ArcAngl vs Bryan | 57–66 | 46.34% |
| ArcAngl vs Hwoarang | 48–63 | 43.24% |
| ArcAngl vs Dragunov | 45–64 | 41.28% |
| ArcAngl vs Steve | 46–58–1 | 44.23% |
| ArcAngl vs Lili | 35–59 | 37.23% |
| ArcAngl vs Eddy | 26–64 | 28.89% |
| ArcAngl vs Asuka | 36–48 | 42.86% |
| ArcAngl vs Lee | 30–51 | 37.04% |
| ArcAngl vs Law | 36–43 | 45.57% |
| ArcAngl vs Lidia | 33–45 | 42.31% |
| ArcAngl vs Yoshimitsu | 39–37 | 51.32% |
| ArcAngl vs Lars | 25–47 | 34.72% |
| ArcAngl vs Nina | 25–36 | 40.98% |
| ArcAngl vs Azucena | 23–36 | 38.98% |
| ArcAngl vs Victor | 23–34 | 40.35% |
| ArcAngl vs Paul | 19–36 | 34.55% |
| ArcAngl vs Jun | 23–31 | 42.59% |
| ArcAngl vs Heihachi | 22–29 | 43.14% |
| ArcAngl vs Leo | 26–23 | 53.06% |
| ArcAngl vs Xiaoyu | 17–31 | 35.42% |
| ArcAngl vs Devil Jin | 13–28 | 31.71% |
| ArcAngl vs Feng | 12–25 | 32.43% |
| ArcAngl vs Alisa | 8–22 | 26.67% |
| ArcAngl vs Raven | 12–16 | 42.86% |
| ArcAngl vs Shaheen | 11–14 | 44.00% |
| ArcAngl vs Fahkumram | 8–17 | 32.00% |
| ArcAngl vs Clive | 7–17 | 29.17% |
| ArcAngl vs Kuma | 6–17 | 26.09% |
| ArcAngl vs Jack-8 | 8–13 | 38.10% |
| ArcAngl vs Claudio | 8–13 | 38.10% |
| ArcAngl vs Leroy | 12–9 | 57.14% |
| ArcAngl vs Panda | 9–9 | 50.00% |
| ArcAngl vs Zafina | 9–9 | 50.00% |
| ArcAngl vs Anna | 5–11 | 31.25% |
| ArcAngl vs Armor King | 6–9 | 40.00% |
| ArcAngl vs Miary Zo | 2–5 | 28.57% |
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.