| PB_Blaster vs Paul | 5–18 | 21.74% |
| PB_Blaster vs Reina | 7–15 | 31.82% |
| PB_Blaster vs Kazuya | 3–17 | 15.00% |
| PB_Blaster vs Dragunov | 7–13 | 35.00% |
| PB_Blaster vs Victor | 2–17 | 10.53% |
| PB_Blaster vs Jin | 5–13 | 27.78% |
| PB_Blaster vs Heihachi | 2–14 | 12.50% |
| PB_Blaster vs Bryan | 5–9 | 35.71% |
| PB_Blaster vs King | 4–9 | 30.77% |
| PB_Blaster vs Zafina | 1–12 | 7.69% |
| PB_Blaster vs Hwoarang | 5–7 | 41.67% |
| PB_Blaster vs Steve | 3–9 | 25.00% |
| PB_Blaster vs Lili | 3–9 | 25.00% |
| PB_Blaster vs Lars | 4–8 | 33.33% |
| PB_Blaster vs Jun | 3–9 | 25.00% |
| PB_Blaster vs Alisa | 1–9 | 10.00% |
| PB_Blaster vs Clive | 9–1 | 90.00% |
| PB_Blaster vs Lee | 4–5 | 44.44% |
| PB_Blaster vs Leroy | 4–4 | 50.00% |
| PB_Blaster vs Azucena | 2–6 | 25.00% |
| PB_Blaster vs Eddy | 2–6 | 25.00% |
| PB_Blaster vs Devil Jin | 2–4 | 33.33% |
| PB_Blaster vs Lidia | 2–4 | 33.33% |
| PB_Blaster vs Anna | 4–2 | 66.67% |
| PB_Blaster vs Feng | 0–5 | 0.00% |
| PB_Blaster vs Leo | 3–2 | 60.00% |
| PB_Blaster vs Nina | 0–5 | 0.00% |
| PB_Blaster vs Xiaoyu | 1–3 | 25.00% |
| PB_Blaster vs Jack-8 | 1–2 | 33.33% |
| PB_Blaster vs Raven | 1–2 | 33.33% |
| PB_Blaster vs Claudio | 0–2 | 0.00% |
| PB_Blaster vs Kuma | 0–2 | 0.00% |
| PB_Blaster vs Panda | 0–2 | 0.00% |
| PB_Blaster vs Law | 0–1 | 0.00% |
| PB_Blaster vs Asuka | 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.