| PasteldelaBlerd vs King | 10–23 | 30.30% |
| PasteldelaBlerd vs Steve | 12–11 | 52.17% |
| PasteldelaBlerd vs Lili | 8–8 | 50.00% |
| PasteldelaBlerd vs Fahkumram | 7–8 | 46.67% |
| PasteldelaBlerd vs Bryan | 1–11 | 8.33% |
| PasteldelaBlerd vs Dragunov | 2–9 | 18.18% |
| PasteldelaBlerd vs Lars | 5–6 | 45.45% |
| PasteldelaBlerd vs Kazuya | 5–5 | 50.00% |
| PasteldelaBlerd vs Jun | 6–4 | 60.00% |
| PasteldelaBlerd vs Lidia | 6–4 | 60.00% |
| PasteldelaBlerd vs Law | 3–6 | 33.33% |
| PasteldelaBlerd vs Reina | 4–5 | 44.44% |
| PasteldelaBlerd vs Hwoarang | 5–3 | 62.50% |
| PasteldelaBlerd vs Miary Zo | 1–7 | 12.50% |
| PasteldelaBlerd vs Azucena | 4–3 | 57.14% |
| PasteldelaBlerd vs Victor | 4–3 | 57.14% |
| PasteldelaBlerd vs Yoshimitsu | 3–3 | 50.00% |
| PasteldelaBlerd vs Zafina | 2–4 | 33.33% |
| PasteldelaBlerd vs Clive | 2–4 | 33.33% |
| PasteldelaBlerd vs Xiaoyu | 2–3 | 40.00% |
| PasteldelaBlerd vs Heihachi | 3–2 | 60.00% |
| PasteldelaBlerd vs Anna | 3–2 | 60.00% |
| PasteldelaBlerd vs Asuka | 2–2 | 50.00% |
| PasteldelaBlerd vs Kuma | 0–4 | 0.00% |
| PasteldelaBlerd vs Devil Jin | 2–1 | 66.67% |
| PasteldelaBlerd vs Leo | 2–1 | 66.67% |
| PasteldelaBlerd vs Alisa | 1–2 | 33.33% |
| PasteldelaBlerd vs Shaheen | 1–2 | 33.33% |
| PasteldelaBlerd vs Eddy | 0–3 | 0.00% |
| PasteldelaBlerd vs Paul | 1–1 | 50.00% |
| PasteldelaBlerd vs Feng | 2–0 | 100.00% |
| PasteldelaBlerd vs Lee | 0–2 | 0.00% |
| PasteldelaBlerd vs Armor King | 0–2 | 0.00% |
| PasteldelaBlerd vs Jin | 0–1 | 0.00% |
| PasteldelaBlerd vs Raven | 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.