| Woodenplank vs Clive | 14–17 | 45.16% |
| Woodenplank vs King | 13–17 | 43.33% |
| Woodenplank vs Heihachi | 11–7 | 61.11% |
| Woodenplank vs Jin | 11–6 | 64.71% |
| Woodenplank vs Jun | 6–10 | 37.50% |
| Woodenplank vs Kazuya | 6–8 | 42.86% |
| Woodenplank vs Hwoarang | 4–9 | 30.77% |
| Woodenplank vs Reina | 5–6 | 45.45% |
| Woodenplank vs Lee | 2–8 | 20.00% |
| Woodenplank vs Steve | 3–5 | 37.50% |
| Woodenplank vs Asuka | 6–2 | 75.00% |
| Woodenplank vs Azucena | 5–2 | 71.43% |
| Woodenplank vs Bryan | 2–4 | 33.33% |
| Woodenplank vs Kuma | 4–2 | 66.67% |
| Woodenplank vs Paul | 2–3 | 40.00% |
| Woodenplank vs Devil Jin | 2–2 | 50.00% |
| Woodenplank vs Alisa | 2–2 | 50.00% |
| Woodenplank vs Raven | 3–1 | 75.00% |
| Woodenplank vs Law | 2–1 | 66.67% |
| Woodenplank vs Yoshimitsu | 1–2 | 33.33% |
| Woodenplank vs Lili | 3–0 | 100.00% |
| Woodenplank vs Leroy | 2–1 | 66.67% |
| Woodenplank vs Lidia | 2–1 | 66.67% |
| Woodenplank vs Jack-8 | 2–0 | 100.00% |
| Woodenplank vs Feng | 2–0 | 100.00% |
| Woodenplank vs Dragunov | 2–0 | 100.00% |
| Woodenplank vs Leo | 0–2 | 0.00% |
| Woodenplank vs Lars | 2–0 | 100.00% |
| Woodenplank vs Shaheen | 0–2 | 0.00% |
| Woodenplank vs Nina | 2–0 | 100.00% |
| Woodenplank vs Zafina | 0–2 | 0.00% |
| Woodenplank vs Eddy | 1–1 | 50.00% |
| Woodenplank vs Panda | 0–1 | 0.00% |
| Woodenplank vs Fahkumram | 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.