| wood vs Jin | 35–41 | 46.05% |
| wood vs Dragunov | 28–37 | 43.08% |
| wood vs Reina | 42–20 | 67.74% |
| wood vs Steve | 27–24 | 52.94% |
| wood vs King | 29–20 | 59.18% |
| wood vs Victor | 28–14 | 66.67% |
| wood vs Bryan | 11–27 | 28.95% |
| wood vs Asuka | 21–16 | 56.76% |
| wood vs Yoshimitsu | 15–20 | 42.86% |
| wood vs Kazuya | 20–12 | 62.50% |
| wood vs Jun | 18–14 | 56.25% |
| wood vs Hwoarang | 12–19 | 38.71% |
| wood vs Xiaoyu | 13–12 | 52.00% |
| wood vs Lili | 12–12 | 50.00% |
| wood vs Alisa | 11–11 | 50.00% |
| wood vs Paul | 9–12 | 42.86% |
| wood vs Fahkumram | 8–13 | 38.10% |
| wood vs Eddy | 8–11 | 42.11% |
| wood vs Azucena | 9–9 | 50.00% |
| wood vs Feng | 9–7 | 56.25% |
| wood vs Devil Jin | 8–7 | 53.33% |
| wood vs Leo | 9–6 | 60.00% |
| wood vs Lee | 6–8 | 42.86% |
| wood vs Lars | 3–9 | 25.00% |
| wood vs Law | 4–7 | 36.36% |
| wood vs Zafina | 1–10 | 9.09% |
| wood vs Claudio | 5–5 | 50.00% |
| wood vs Shaheen | 4–6 | 40.00% |
| wood vs Clive | 2–8 | 20.00% |
| wood vs Leroy | 4–4 | 50.00% |
| wood vs Heihachi | 3–5 | 37.50% |
| wood vs Nina | 4–3 | 57.14% |
| wood vs Raven | 2–4 | 33.33% |
| wood vs Kuma | 1–4 | 20.00% |
| wood vs Jack-8 | 2–2 | 50.00% |
| wood vs Lidia | 0–4 | 0.00% |
| wood vs Anna | 0–4 | 0.00% |
| wood vs Armor King | 0–2 | 0.00% |
| wood vs Miary Zo | 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.