| shlongdinger vs Steve | 19–29 | 39.58% |
| shlongdinger vs King | 20–21 | 48.78% |
| shlongdinger vs Jin | 14–26 | 35.00% |
| shlongdinger vs Dragunov | 13–21 | 38.24% |
| shlongdinger vs Kazuya | 7–23 | 23.33% |
| shlongdinger vs Yoshimitsu | 10–14 | 41.67% |
| shlongdinger vs Bryan | 7–13 | 35.00% |
| shlongdinger vs Lili | 9–10 | 47.37% |
| shlongdinger vs Law | 3–15 | 16.67% |
| shlongdinger vs Heihachi | 10–7 | 58.82% |
| shlongdinger vs Hwoarang | 9–7 | 56.25% |
| shlongdinger vs Asuka | 5–11 | 31.25% |
| shlongdinger vs Reina | 8–8 | 50.00% |
| shlongdinger vs Azucena | 5–9 | 35.71% |
| shlongdinger vs Victor | 5–8 | 38.46% |
| shlongdinger vs Jun | 4–7 | 36.36% |
| shlongdinger vs Lars | 2–7 | 22.22% |
| shlongdinger vs Shaheen | 3–5 | 37.50% |
| shlongdinger vs Fahkumram | 4–4 | 50.00% |
| shlongdinger vs Miary Zo | 2–6 | 25.00% |
| shlongdinger vs Armor King | 5–2 | 71.43% |
| shlongdinger vs Eddy | 2–4 | 33.33% |
| shlongdinger vs Lidia | 3–3 | 50.00% |
| shlongdinger vs Paul | 2–3 | 40.00% |
| shlongdinger vs Leo | 1–4 | 20.00% |
| shlongdinger vs Alisa | 2–3 | 40.00% |
| shlongdinger vs Claudio | 2–3 | 40.00% |
| shlongdinger vs Lee | 1–4 | 20.00% |
| shlongdinger vs Panda | 0–5 | 0.00% |
| shlongdinger vs Xiaoyu | 4–0 | 100.00% |
| shlongdinger vs Devil Jin | 1–3 | 25.00% |
| shlongdinger vs Feng | 2–2 | 50.00% |
| shlongdinger vs Nina | 1–2 | 33.33% |
| shlongdinger vs Clive | 1–2 | 33.33% |
| shlongdinger vs Zafina | 0–2 | 0.00% |
| shlongdinger vs Leroy | 0–2 | 0.00% |
| shlongdinger vs Anna | 0–1 | 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.