| Skeezy vs Fahkumram | 31–29 | 51.67% |
| Skeezy vs King | 26–22 | 54.17% |
| Skeezy vs Law | 24–16 | 60.00% |
| Skeezy vs Jin | 21–15 | 58.33% |
| Skeezy vs Victor | 25–9 | 73.53% |
| Skeezy vs Bryan | 17–14 | 54.84% |
| Skeezy vs Steve | 19–12 | 61.29% |
| Skeezy vs Hwoarang | 13–15 | 46.43% |
| Skeezy vs Lili | 19–6 | 76.00% |
| Skeezy vs Reina | 13–10 | 56.52% |
| Skeezy vs Kazuya | 15–7 | 68.18% |
| Skeezy vs Dragunov | 11–10 | 52.38% |
| Skeezy vs Azucena | 17–4 | 80.95% |
| Skeezy vs Eddy | 12–9 | 57.14% |
| Skeezy vs Jun | 11–7 | 61.11% |
| Skeezy vs Heihachi | 8–9 | 47.06% |
| Skeezy vs Clive | 11–6 | 64.71% |
| Skeezy vs Lars | 7–8 | 46.67% |
| Skeezy vs Asuka | 9–5 | 64.29% |
| Skeezy vs Nina | 8–6 | 57.14% |
| Skeezy vs Lidia | 10–2 | 83.33% |
| Skeezy vs Leo | 7–3 | 70.00% |
| Skeezy vs Xiaoyu | 6–3 | 66.67% |
| Skeezy vs Devil Jin | 5–4 | 55.56% |
| Skeezy vs Yoshimitsu | 6–2 | 75.00% |
| Skeezy vs Raven | 4–4 | 50.00% |
| Skeezy vs Jack-8 | 6–1 | 85.71% |
| Skeezy vs Lee | 4–3 | 57.14% |
| Skeezy vs Leroy | 5–0 | 100.00% |
| Skeezy vs Feng | 3–1 | 75.00% |
| Skeezy vs Claudio | 2–2 | 50.00% |
| Skeezy vs Shaheen | 3–1 | 75.00% |
| Skeezy vs Zafina | 4–0 | 100.00% |
| Skeezy vs Anna | 3–1 | 75.00% |
| Skeezy vs Kuma | 1–2 | 33.33% |
| Skeezy vs Paul | 1–1 | 50.00% |
| Skeezy vs Alisa | 0–2 | 0.00% |
| Skeezy vs Panda | 1–0 | 100.00% |
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.