| Blade8019 vs Jin | 123–91 | 57.48% |
| Blade8019 vs King | 107–92 | 53.77% |
| Blade8019 vs Bryan | 100–79 | 55.87% |
| Blade8019 vs Reina | 101–73 | 58.05% |
| Blade8019 vs Dragunov | 99–70 | 58.58% |
| Blade8019 vs Hwoarang | 94–65 | 59.12% |
| Blade8019 vs Paul | 103–53 | 66.03% |
| Blade8019 vs Kazuya | 97–56 | 63.40% |
| Blade8019 vs Yoshimitsu | 83–63 | 56.85% |
| Blade8019 vs Lili | 80–65 | 55.17% |
| Blade8019 vs Lars | 81–64 | 55.86% |
| Blade8019 vs Law | 81–55 | 59.56% |
| Blade8019 vs Nina | 70–64 | 52.24% |
| Blade8019 vs Lee | 72–62 | 53.73% |
| Blade8019 vs Jun | 71–62 | 53.38% |
| Blade8019 vs Azucena | 78–55 | 58.65% |
| Blade8019 vs Victor | 71–62 | 53.38% |
| Blade8019 vs Xiaoyu | 66–64 | 50.77% |
| Blade8019 vs Steve | 66–61 | 51.97% |
| Blade8019 vs Raven | 58–65 | 47.15% |
| Blade8019 vs Alisa | 50–59 | 45.87% |
| Blade8019 vs Devil Jin | 60–46 | 56.60% |
| Blade8019 vs Feng | 58–47–1 | 55.24% |
| Blade8019 vs Claudio | 48–50 | 48.98% |
| Blade8019 vs Eddy | 35–57 | 38.04% |
| Blade8019 vs Jack-8 | 53–38 | 58.24% |
| Blade8019 vs Asuka | 56–29 | 65.88% |
| Blade8019 vs Zafina | 48–35 | 57.83% |
| Blade8019 vs Kuma | 30–49 | 37.97% |
| Blade8019 vs Lidia | 47–29 | 61.84% |
| Blade8019 vs Leo | 42–27 | 60.87% |
| Blade8019 vs Shaheen | 39–28 | 58.21% |
| Blade8019 vs Leroy | 35–18 | 66.04% |
| Blade8019 vs Panda | 25–20 | 55.56% |
| Blade8019 vs Heihachi | 17–13 | 56.67% |
| Blade8019 vs Armor King | 10–11 | 47.62% |
| Blade8019 vs Anna | 9–11 | 45.00% |
| Blade8019 vs Fahkumram | 13–6 | 68.42% |
| Blade8019 vs Clive | 5–6 | 45.45% |
| Blade8019 vs Miary Zo | 5–5 | 50.00% |
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.