| plapplap vs Hwoarang | 25–30 | 45.45% |
| plapplap vs Kazuya | 34–16 | 68.00% |
| plapplap vs Bryan | 26–22 | 54.17% |
| plapplap vs Armor King | 26–20 | 56.52% |
| plapplap vs Law | 18–26 | 40.91% |
| plapplap vs Paul | 18–25 | 41.86% |
| plapplap vs King | 24–17 | 58.54% |
| plapplap vs Dragunov | 22–18 | 55.00% |
| plapplap vs Reina | 26–10 | 72.22% |
| plapplap vs Heihachi | 21–15 | 58.33% |
| plapplap vs Lars | 18–16 | 52.94% |
| plapplap vs Jin | 19–14 | 57.58% |
| plapplap vs Steve | 16–12 | 57.14% |
| plapplap vs Asuka | 9–15 | 37.50% |
| plapplap vs Lili | 14–10 | 58.33% |
| plapplap vs Lee | 13–11 | 54.17% |
| plapplap vs Yoshimitsu | 13–10 | 56.52% |
| plapplap vs Jun | 12–10 | 54.55% |
| plapplap vs Nina | 7–12 | 36.84% |
| plapplap vs Victor | 11–8 | 57.89% |
| plapplap vs Leo | 9–8 | 52.94% |
| plapplap vs Azucena | 10–6 | 62.50% |
| plapplap vs Devil Jin | 8–7 | 53.33% |
| plapplap vs Lidia | 8–7 | 53.33% |
| plapplap vs Fahkumram | 10–5 | 66.67% |
| plapplap vs Miary Zo | 5–10 | 33.33% |
| plapplap vs Feng | 11–3 | 78.57% |
| plapplap vs Panda | 7–3 | 70.00% |
| plapplap vs Clive | 3–7 | 30.00% |
| plapplap vs Leroy | 6–3 | 66.67% |
| plapplap vs Eddy | 6–3 | 66.67% |
| plapplap vs Raven | 2–6 | 25.00% |
| plapplap vs Anna | 1–7 | 12.50% |
| plapplap vs Xiaoyu | 5–2 | 71.43% |
| plapplap vs Jack-8 | 1–5 | 16.67% |
| plapplap vs Shaheen | 3–3 | 50.00% |
| plapplap vs Zafina | 3–3 | 50.00% |
| plapplap vs Claudio | 0–5 | 0.00% |
| plapplap vs Alisa | 3–1 | 75.00% |
| plapplap vs Kuma | 2–0 | 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.