| Plank vs Kazuya | 25–36 | 40.98% |
| Plank vs Law | 23–20 | 53.49% |
| Plank vs King | 22–16 | 57.89% |
| Plank vs Jin | 21–15 | 58.33% |
| Plank vs Reina | 20–14 | 58.82% |
| Plank vs Yoshimitsu | 15–17 | 46.88% |
| Plank vs Steve | 16–15 | 51.61% |
| Plank vs Victor | 19–12 | 61.29% |
| Plank vs Hwoarang | 16–14 | 53.33% |
| Plank vs Bryan | 14–12 | 53.85% |
| Plank vs Heihachi | 12–12 | 50.00% |
| Plank vs Nina | 16–5 | 76.19% |
| Plank vs Eddy | 12–9 | 57.14% |
| Plank vs Lars | 11–8 | 57.89% |
| Plank vs Feng | 11–7 | 61.11% |
| Plank vs Azucena | 9–9 | 50.00% |
| Plank vs Asuka | 9–8 | 52.94% |
| Plank vs Dragunov | 6–11 | 35.29% |
| Plank vs Fahkumram | 10–7 | 58.82% |
| Plank vs Lili | 6–8 | 42.86% |
| Plank vs Lidia | 6–8 | 42.86% |
| Plank vs Lee | 8–5 | 61.54% |
| Plank vs Anna | 3–10 | 23.08% |
| Plank vs Paul | 4–8 | 33.33% |
| Plank vs Claudio | 6–3 | 66.67% |
| Plank vs Leroy | 2–7 | 22.22% |
| Plank vs Jun | 6–3 | 66.67% |
| Plank vs Xiaoyu | 5–3 | 62.50% |
| Plank vs Devil Jin | 5–3 | 62.50% |
| Plank vs Alisa | 3–5 | 37.50% |
| Plank vs Kuma | 6–2 | 75.00% |
| Plank vs Raven | 3–5 | 37.50% |
| Plank vs Leo | 2–2 | 50.00% |
| Plank vs Clive | 2–2 | 50.00% |
| Plank vs Jack-8 | 1–2 | 33.33% |
| Plank vs Zafina | 0–2 | 0.00% |
| Plank vs Shaheen | 1–0 | 100.00% |
| Plank 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.