| w1ggl3s vs Kazuya | 19–23 | 45.24% |
| w1ggl3s vs Bryan | 18–16 | 52.94% |
| w1ggl3s vs Jin | 18–12 | 60.00% |
| w1ggl3s vs Heihachi | 9–17 | 34.62% |
| w1ggl3s vs King | 8–16 | 33.33% |
| w1ggl3s vs Reina | 11–8 | 57.89% |
| w1ggl3s vs Steve | 12–3 | 80.00% |
| w1ggl3s vs Law | 7–6 | 53.85% |
| w1ggl3s vs Jun | 5–7 | 41.67% |
| w1ggl3s vs Victor | 5–7 | 41.67% |
| w1ggl3s vs Paul | 0–9 | 0.00% |
| w1ggl3s vs Feng | 4–5 | 44.44% |
| w1ggl3s vs Lili | 3–6 | 33.33% |
| w1ggl3s vs Leroy | 3–6 | 33.33% |
| w1ggl3s vs Xiaoyu | 3–5 | 37.50% |
| w1ggl3s vs Lee | 1–6 | 14.29% |
| w1ggl3s vs Hwoarang | 1–5 | 16.67% |
| w1ggl3s vs Nina | 4–2 | 66.67% |
| w1ggl3s vs Azucena | 3–3 | 50.00% |
| w1ggl3s vs Lidia | 4–2 | 66.67% |
| w1ggl3s vs Yoshimitsu | 3–2 | 60.00% |
| w1ggl3s vs Raven | 1–4 | 20.00% |
| w1ggl3s vs Jack-8 | 2–2 | 50.00% |
| w1ggl3s vs Asuka | 1–3 | 25.00% |
| w1ggl3s vs Claudio | 4–0 | 100.00% |
| w1ggl3s vs Eddy | 3–1 | 75.00% |
| w1ggl3s vs Devil Jin | 1–2 | 33.33% |
| w1ggl3s vs Dragunov | 1–2 | 33.33% |
| w1ggl3s vs Lars | 0–3 | 0.00% |
| w1ggl3s vs Zafina | 2–1 | 66.67% |
| w1ggl3s vs Clive | 0–3 | 0.00% |
| w1ggl3s vs Armor King | 1–2 | 33.33% |
| w1ggl3s vs Leo | 0–2 | 0.00% |
| w1ggl3s vs Alisa | 0–2 | 0.00% |
| w1ggl3s vs Shaheen | 1–1 | 50.00% |
| w1ggl3s vs Fahkumram | 0–2 | 0.00% |
| w1ggl3s vs Anna | 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.