| WoodlandsP1 vs Kazuya | 21–33 | 38.89% |
| WoodlandsP1 vs Jin | 22–25 | 46.81% |
| WoodlandsP1 vs King | 18–26 | 40.91% |
| WoodlandsP1 vs Dragunov | 15–25 | 37.50% |
| WoodlandsP1 vs Reina | 20–15 | 57.14% |
| WoodlandsP1 vs Bryan | 13–14 | 48.15% |
| WoodlandsP1 vs Yoshimitsu | 13–12 | 52.00% |
| WoodlandsP1 vs Hwoarang | 14–11 | 56.00% |
| WoodlandsP1 vs Steve | 9–13 | 40.91% |
| WoodlandsP1 vs Law | 7–13 | 35.00% |
| WoodlandsP1 vs Asuka | 12–7 | 63.16% |
| WoodlandsP1 vs Eddy | 7–10 | 41.18% |
| WoodlandsP1 vs Fahkumram | 11–6 | 64.71% |
| WoodlandsP1 vs Jun | 3–13 | 18.75% |
| WoodlandsP1 vs Azucena | 7–9 | 43.75% |
| WoodlandsP1 vs Lili | 1–14 | 6.67% |
| WoodlandsP1 vs Devil Jin | 6–8 | 42.86% |
| WoodlandsP1 vs Lars | 6–7 | 46.15% |
| WoodlandsP1 vs Alisa | 6–6 | 50.00% |
| WoodlandsP1 vs Paul | 5–6 | 45.45% |
| WoodlandsP1 vs Leo | 5–6 | 45.45% |
| WoodlandsP1 vs Victor | 4–6 | 40.00% |
| WoodlandsP1 vs Xiaoyu | 6–3 | 66.67% |
| WoodlandsP1 vs Nina | 5–4 | 55.56% |
| WoodlandsP1 vs Lee | 8–1 | 88.89% |
| WoodlandsP1 vs Lidia | 4–5 | 44.44% |
| WoodlandsP1 vs Clive | 7–2 | 77.78% |
| WoodlandsP1 vs Feng | 1–7 | 12.50% |
| WoodlandsP1 vs Heihachi | 5–3 | 62.50% |
| WoodlandsP1 vs Leroy | 4–3 | 57.14% |
| WoodlandsP1 vs Armor King | 2–5 | 28.57% |
| WoodlandsP1 vs Claudio | 3–3 | 50.00% |
| WoodlandsP1 vs Kuma | 4–0 | 100.00% |
| WoodlandsP1 vs Anna | 2–2 | 50.00% |
| WoodlandsP1 vs Miary Zo | 2–2 | 50.00% |
| WoodlandsP1 vs Jack-8 | 0–3 | 0.00% |
| WoodlandsP1 vs Panda | 0–2 | 0.00% |
| WoodlandsP1 vs Shaheen | 0–1 | 0.00% |
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.