| englishlitnerd vs Bryan | 101–88 | 53.44% |
| englishlitnerd vs Hwoarang | 87–78 | 52.73% |
| englishlitnerd vs Dragunov | 84–74 | 53.16% |
| englishlitnerd vs Steve | 93–64 | 59.24% |
| englishlitnerd vs Jin | 90–64 | 58.44% |
| englishlitnerd vs Lars | 92–49 | 65.25% |
| englishlitnerd vs Kazuya | 82–55 | 59.85% |
| englishlitnerd vs Paul | 76–57 | 57.14% |
| englishlitnerd vs Clive | 73–60 | 54.89% |
| englishlitnerd vs Xiaoyu | 62–63 | 49.60% |
| englishlitnerd vs Jack-8 | 68–57 | 54.40% |
| englishlitnerd vs Nina | 84–41 | 67.20% |
| englishlitnerd vs Feng | 58–63 | 47.93% |
| englishlitnerd vs Yoshimitsu | 66–53 | 55.46% |
| englishlitnerd vs Lidia | 75–43 | 63.56% |
| englishlitnerd vs King | 60–56 | 51.72% |
| englishlitnerd vs Lili | 62–42 | 59.62% |
| englishlitnerd vs Leo | 51–53 | 49.04% |
| englishlitnerd vs Heihachi | 50–52 | 49.02% |
| englishlitnerd vs Reina | 68–33 | 67.33% |
| englishlitnerd vs Victor | 51–44 | 53.68% |
| englishlitnerd vs Lee | 49–40 | 55.06% |
| englishlitnerd vs Claudio | 51–36 | 58.62% |
| englishlitnerd vs Asuka | 50–36 | 58.14% |
| englishlitnerd vs Devil Jin | 52–28 | 65.00% |
| englishlitnerd vs Law | 40–34 | 54.05% |
| englishlitnerd vs Jun | 39–35 | 52.70% |
| englishlitnerd vs Alisa | 51–21 | 70.83% |
| englishlitnerd vs Raven | 46–23 | 66.67% |
| englishlitnerd vs Zafina | 40–28 | 58.82% |
| englishlitnerd vs Azucena | 35–33 | 51.47% |
| englishlitnerd vs Leroy | 36–31 | 53.73% |
| englishlitnerd vs Kuma | 36–24 | 60.00% |
| englishlitnerd vs Shaheen | 30–23 | 56.60% |
| englishlitnerd vs Eddy | 30–16 | 65.22% |
| englishlitnerd vs Panda | 18–11 | 62.07% |
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.