| AnbuLurkOps vs Kazuya | 227–223 | 50.44% |
| AnbuLurkOps vs Bryan | 163–165 | 49.70% |
| AnbuLurkOps vs Lidia | 170–137 | 55.37% |
| AnbuLurkOps vs Heihachi | 141–162 | 46.53% |
| AnbuLurkOps vs Jin | 142–154 | 47.97% |
| AnbuLurkOps vs Steve | 116–124 | 48.33% |
| AnbuLurkOps vs Reina | 126–114 | 52.50% |
| AnbuLurkOps vs Dragunov | 108–99 | 52.17% |
| AnbuLurkOps vs King | 91–95 | 48.92% |
| AnbuLurkOps vs Paul | 88–97 | 47.57% |
| AnbuLurkOps vs Eddy | 75–99 | 43.10% |
| AnbuLurkOps vs Azucena | 85–84 | 50.30% |
| AnbuLurkOps vs Jun | 78–89 | 46.71% |
| AnbuLurkOps vs Lee | 71–94 | 43.03% |
| AnbuLurkOps vs Law | 79–85 | 48.17% |
| AnbuLurkOps vs Lili | 77–73 | 51.33% |
| AnbuLurkOps vs Hwoarang | 69–80 | 46.31% |
| AnbuLurkOps vs Lars | 54–87 | 38.30% |
| AnbuLurkOps vs Yoshimitsu | 78–62 | 55.71% |
| AnbuLurkOps vs Feng | 75–59 | 55.97% |
| AnbuLurkOps vs Victor | 65–66 | 49.62% |
| AnbuLurkOps vs Asuka | 58–66 | 46.77% |
| AnbuLurkOps vs Xiaoyu | 51–70 | 42.15% |
| AnbuLurkOps vs Devil Jin | 59–56 | 51.30% |
| AnbuLurkOps vs Leroy | 52–52 | 50.00% |
| AnbuLurkOps vs Nina | 42–55 | 43.30% |
| AnbuLurkOps vs Jack-8 | 43–50 | 46.24% |
| AnbuLurkOps vs Leo | 47–41 | 53.41% |
| AnbuLurkOps vs Raven | 34–42 | 44.74% |
| AnbuLurkOps vs Alisa | 35–37 | 48.61% |
| AnbuLurkOps vs Shaheen | 31–34 | 47.69% |
| AnbuLurkOps vs Anna | 22–38 | 36.67% |
| AnbuLurkOps vs Claudio | 25–32 | 43.86% |
| AnbuLurkOps vs Kuma | 17–33 | 34.00% |
| AnbuLurkOps vs Zafina | 22–23 | 48.89% |
| AnbuLurkOps vs Panda | 17–21 | 44.74% |
| AnbuLurkOps vs Fahkumram | 11–7 | 61.11% |
| AnbuLurkOps vs Clive | 4–10 | 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.