| SageOfLostWoods vs Kazuya | 18–6 | 75.00% |
| SageOfLostWoods vs Reina | 18–5 | 78.26% |
| SageOfLostWoods vs Hwoarang | 12–7 | 63.16% |
| SageOfLostWoods vs Jin | 6–11 | 35.29% |
| SageOfLostWoods vs Steve | 4–13 | 23.53% |
| SageOfLostWoods vs Asuka | 8–9 | 47.06% |
| SageOfLostWoods vs King | 11–4 | 73.33% |
| SageOfLostWoods vs Bryan | 9–6 | 60.00% |
| SageOfLostWoods vs Dragunov | 11–2 | 84.62% |
| SageOfLostWoods vs Devil Jin | 5–7 | 41.67% |
| SageOfLostWoods vs Lili | 3–8 | 27.27% |
| SageOfLostWoods vs Nina | 3–7 | 30.00% |
| SageOfLostWoods vs Victor | 7–3 | 70.00% |
| SageOfLostWoods vs Xiaoyu | 3–6 | 33.33% |
| SageOfLostWoods vs Lee | 6–3 | 66.67% |
| SageOfLostWoods vs Eddy | 7–2 | 77.78% |
| SageOfLostWoods vs Lars | 7–1 | 87.50% |
| SageOfLostWoods vs Shaheen | 5–3 | 62.50% |
| SageOfLostWoods vs Law | 4–3 | 57.14% |
| SageOfLostWoods vs Alisa | 6–1 | 85.71% |
| SageOfLostWoods vs Leroy | 6–1 | 85.71% |
| SageOfLostWoods vs Jun | 5–2 | 71.43% |
| SageOfLostWoods vs Yoshimitsu | 2–3 | 40.00% |
| SageOfLostWoods vs Azucena | 3–2 | 60.00% |
| SageOfLostWoods vs Feng | 1–3 | 25.00% |
| SageOfLostWoods vs Claudio | 3–1 | 75.00% |
| SageOfLostWoods vs Zafina | 2–2 | 50.00% |
| SageOfLostWoods vs Raven | 3–1 | 75.00% |
| SageOfLostWoods vs Jack-8 | 2–1 | 66.67% |
| SageOfLostWoods vs Paul | 0–2 | 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.