| WaRoLaNd vs Clive | 48–23 | 67.61% |
| WaRoLaNd vs King | 28–16 | 63.64% |
| WaRoLaNd vs Steve | 27–14 | 65.85% |
| WaRoLaNd vs Jin | 16–22 | 42.11% |
| WaRoLaNd vs Heihachi | 19–13 | 59.38% |
| WaRoLaNd vs Law | 18–13 | 58.06% |
| WaRoLaNd vs Kazuya | 13–15 | 46.43% |
| WaRoLaNd vs Dragunov | 13–13 | 50.00% |
| WaRoLaNd vs Jun | 15–11 | 57.69% |
| WaRoLaNd vs Victor | 18–8 | 69.23% |
| WaRoLaNd vs Reina | 13–11 | 54.17% |
| WaRoLaNd vs Lars | 10–12 | 45.45% |
| WaRoLaNd vs Nina | 16–6 | 72.73% |
| WaRoLaNd vs Bryan | 10–11 | 47.62% |
| WaRoLaNd vs Yoshimitsu | 7–13 | 35.00% |
| WaRoLaNd vs Hwoarang | 9–11 | 45.00% |
| WaRoLaNd vs Devil Jin | 14–5 | 73.68% |
| WaRoLaNd vs Xiaoyu | 13–2 | 86.67% |
| WaRoLaNd vs Lili | 11–4 | 73.33% |
| WaRoLaNd vs Eddy | 8–7 | 53.33% |
| WaRoLaNd vs Jack-8 | 6–6 | 50.00% |
| WaRoLaNd vs Leo | 6–6 | 50.00% |
| WaRoLaNd vs Lidia | 5–6 | 45.45% |
| WaRoLaNd vs Zafina | 9–1 | 90.00% |
| WaRoLaNd vs Leroy | 8–2 | 80.00% |
| WaRoLaNd vs Claudio | 8–1 | 88.89% |
| WaRoLaNd vs Asuka | 0–7 | 0.00% |
| WaRoLaNd vs Feng | 5–2 | 71.43% |
| WaRoLaNd vs Alisa | 2–5 | 28.57% |
| WaRoLaNd vs Kuma | 3–4 | 42.86% |
| WaRoLaNd vs Paul | 5–1 | 83.33% |
| WaRoLaNd vs Shaheen | 0–6 | 0.00% |
| WaRoLaNd vs Lee | 3–3 | 50.00% |
| WaRoLaNd vs Panda | 3–2 | 60.00% |
| WaRoLaNd vs Azucena | 5–0 | 100.00% |
| WaRoLaNd vs Raven | 4–1 | 80.00% |
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.