| parcullam vs Clive | 44–24 | 64.71% |
| parcullam vs Bryan | 34–17 | 66.67% |
| parcullam vs Jin | 33–13 | 71.74% |
| parcullam vs Paul | 28–15 | 65.12% |
| parcullam vs Heihachi | 24–16 | 60.00% |
| parcullam vs Law | 25–12 | 67.57% |
| parcullam vs Reina | 25–12 | 67.57% |
| parcullam vs Lili | 21–14 | 60.00% |
| parcullam vs Steve | 21–12 | 63.64% |
| parcullam vs Dragunov | 20–13 | 60.61% |
| parcullam vs Victor | 12–14 | 46.15% |
| parcullam vs Kazuya | 15–10 | 60.00% |
| parcullam vs Feng | 18–7 | 72.00% |
| parcullam vs Xiaoyu | 19–5 | 79.17% |
| parcullam vs Asuka | 12–12 | 50.00% |
| parcullam vs King | 12–8 | 60.00% |
| parcullam vs Devil Jin | 13–7 | 65.00% |
| parcullam vs Lee | 5–14 | 26.32% |
| parcullam vs Leroy | 13–6 | 68.42% |
| parcullam vs Jun | 10–9 | 52.63% |
| parcullam vs Hwoarang | 13–5 | 72.22% |
| parcullam vs Alisa | 14–4 | 77.78% |
| parcullam vs Yoshimitsu | 10–6 | 62.50% |
| parcullam vs Nina | 9–6 | 60.00% |
| parcullam vs Kuma | 8–7 | 53.33% |
| parcullam vs Leo | 11–3 | 78.57% |
| parcullam vs Eddy | 9–5 | 64.29% |
| parcullam vs Fahkumram | 10–4 | 71.43% |
| parcullam vs Jack-8 | 12–1 | 92.31% |
| parcullam vs Azucena | 9–4 | 69.23% |
| parcullam vs Armor King | 8–4 | 66.67% |
| parcullam vs Shaheen | 8–3 | 72.73% |
| parcullam vs Anna | 5–6 | 45.45% |
| parcullam vs Zafina | 6–4 | 60.00% |
| parcullam vs Lidia | 3–4 | 42.86% |
| parcullam vs Lars | 3–3 | 50.00% |
| parcullam vs Raven | 2–3 | 40.00% |
| parcullam vs Claudio | 3–1 | 75.00% |
| parcullam vs Panda | 1–2 | 33.33% |
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.