| AccelNY vs Kazuya | 96–96 | 50.00% |
| AccelNY vs King | 88–68 | 56.41% |
| AccelNY vs Jin | 74–71 | 51.03% |
| AccelNY vs Reina | 74–65 | 53.24% |
| AccelNY vs Steve | 68–68 | 50.00% |
| AccelNY vs Lidia | 60–73 | 45.11% |
| AccelNY vs Armor King | 53–76 | 41.09% |
| AccelNY vs Bryan | 77–47 | 62.10% |
| AccelNY vs Dragunov | 59–57–1 | 50.86% |
| AccelNY vs Lili | 52–53 | 49.52% |
| AccelNY vs Heihachi | 48–57 | 45.71% |
| AccelNY vs Lars | 47–53 | 47.00% |
| AccelNY vs Lee | 37–60 | 38.14% |
| AccelNY vs Paul | 44–52 | 45.83% |
| AccelNY vs Law | 59–33 | 64.13% |
| AccelNY vs Hwoarang | 36–44 | 45.00% |
| AccelNY vs Azucena | 32–39 | 45.07% |
| AccelNY vs Eddy | 31–40 | 43.66% |
| AccelNY vs Leo | 35–31 | 53.03% |
| AccelNY vs Fahkumram | 25–39 | 39.06% |
| AccelNY vs Victor | 32–27 | 54.24% |
| AccelNY vs Yoshimitsu | 22–35 | 38.60% |
| AccelNY vs Jun | 27–28 | 49.09% |
| AccelNY vs Devil Jin | 26–26 | 50.00% |
| AccelNY vs Nina | 28–23 | 54.90% |
| AccelNY vs Feng | 25–25 | 50.00% |
| AccelNY vs Raven | 19–31 | 38.00% |
| AccelNY vs Asuka | 26–21 | 55.32% |
| AccelNY vs Anna | 18–28 | 39.13% |
| AccelNY vs Leroy | 29–15 | 65.91% |
| AccelNY vs Clive | 19–23 | 45.24% |
| AccelNY vs Jack-8 | 19–20–1 | 48.72% |
| AccelNY vs Xiaoyu | 17–19 | 47.22% |
| AccelNY vs Claudio | 13–22 | 37.14% |
| AccelNY vs Alisa | 16–11 | 59.26% |
| AccelNY vs Shaheen | 10–17 | 37.04% |
| AccelNY vs Miary Zo | 8–15 | 34.78% |
| AccelNY vs Kuma | 9–11 | 45.00% |
| AccelNY vs Panda | 8–2 | 80.00% |
| AccelNY vs Zafina | 2–8 | 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.