| BLK_SLAMMERS019 vs King | 19–6 | 76.00% |
| BLK_SLAMMERS019 vs Kazuya | 14–11 | 56.00% |
| BLK_SLAMMERS019 vs Reina | 15–5 | 75.00% |
| BLK_SLAMMERS019 vs Clive | 8–12 | 40.00% |
| BLK_SLAMMERS019 vs Jin | 6–10 | 37.50% |
| BLK_SLAMMERS019 vs Jun | 9–3 | 75.00% |
| BLK_SLAMMERS019 vs Yoshimitsu | 10–1 | 90.91% |
| BLK_SLAMMERS019 vs Steve | 10–1 | 90.91% |
| BLK_SLAMMERS019 vs Lars | 8–2 | 80.00% |
| BLK_SLAMMERS019 vs Eddy | 5–4 | 55.56% |
| BLK_SLAMMERS019 vs Heihachi | 3–6 | 33.33% |
| BLK_SLAMMERS019 vs Paul | 3–5 | 37.50% |
| BLK_SLAMMERS019 vs Asuka | 5–3 | 62.50% |
| BLK_SLAMMERS019 vs Victor | 3–5 | 37.50% |
| BLK_SLAMMERS019 vs Fahkumram | 4–4 | 50.00% |
| BLK_SLAMMERS019 vs Hwoarang | 3–4 | 42.86% |
| BLK_SLAMMERS019 vs Kuma | 4–3 | 57.14% |
| BLK_SLAMMERS019 vs Xiaoyu | 5–1 | 83.33% |
| BLK_SLAMMERS019 vs Lili | 3–3 | 50.00% |
| BLK_SLAMMERS019 vs Azucena | 3–3 | 50.00% |
| BLK_SLAMMERS019 vs Armor King | 2–3 | 40.00% |
| BLK_SLAMMERS019 vs Law | 2–2 | 50.00% |
| BLK_SLAMMERS019 vs Feng | 2–2 | 50.00% |
| BLK_SLAMMERS019 vs Leo | 3–1 | 75.00% |
| BLK_SLAMMERS019 vs Alisa | 1–2 | 33.33% |
| BLK_SLAMMERS019 vs Nina | 1–2 | 33.33% |
| BLK_SLAMMERS019 vs Lee | 2–1 | 66.67% |
| BLK_SLAMMERS019 vs Bryan | 2–0 | 100.00% |
| BLK_SLAMMERS019 vs Devil Jin | 1–1 | 50.00% |
| BLK_SLAMMERS019 vs Dragunov | 0–2 | 0.00% |
| BLK_SLAMMERS019 vs Lidia | 0–2 | 0.00% |
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.