| W1LLK1LL vs Clive | 28–35 | 44.44% |
| W1LLK1LL vs Reina | 29–25 | 53.70% |
| W1LLK1LL vs Heihachi | 17–27 | 38.64% |
| W1LLK1LL vs Kazuya | 19–21 | 47.50% |
| W1LLK1LL vs Steve | 17–21 | 44.74% |
| W1LLK1LL vs Jin | 14–23 | 37.84% |
| W1LLK1LL vs King | 20–15 | 57.14% |
| W1LLK1LL vs Lili | 19–15 | 55.88% |
| W1LLK1LL vs Eddy | 12–22 | 35.29% |
| W1LLK1LL vs Victor | 18–14 | 56.25% |
| W1LLK1LL vs Hwoarang | 13–18 | 41.94% |
| W1LLK1LL vs Jun | 11–19 | 36.67% |
| W1LLK1LL vs Law | 9–20 | 31.03% |
| W1LLK1LL vs Dragunov | 16–11 | 59.26% |
| W1LLK1LL vs Lidia | 10–15 | 40.00% |
| W1LLK1LL vs Azucena | 9–14 | 39.13% |
| W1LLK1LL vs Nina | 5–14 | 26.32% |
| W1LLK1LL vs Bryan | 10–8 | 55.56% |
| W1LLK1LL vs Yoshimitsu | 8–9 | 47.06% |
| W1LLK1LL vs Miary Zo | 4–12 | 25.00% |
| W1LLK1LL vs Lee | 5–9 | 35.71% |
| W1LLK1LL vs Anna | 5–8 | 38.46% |
| W1LLK1LL vs Armor King | 9–4 | 69.23% |
| W1LLK1LL vs Xiaoyu | 5–7 | 41.67% |
| W1LLK1LL vs Lars | 4–8 | 33.33% |
| W1LLK1LL vs Shaheen | 5–7 | 41.67% |
| W1LLK1LL vs Jack-8 | 7–4 | 63.64% |
| W1LLK1LL vs Devil Jin | 3–8 | 27.27% |
| W1LLK1LL vs Raven | 6–5 | 54.55% |
| W1LLK1LL vs Leroy | 2–7 | 22.22% |
| W1LLK1LL vs Alisa | 4–4 | 50.00% |
| W1LLK1LL vs Paul | 4–3 | 57.14% |
| W1LLK1LL vs Kuma | 1–3 | 25.00% |
| W1LLK1LL vs Asuka | 0–3 | 0.00% |
| W1LLK1LL vs Claudio | 1–2 | 33.33% |
| W1LLK1LL vs Zafina | 2–1 | 66.67% |
| W1LLK1LL vs Fahkumram | 1–2 | 33.33% |
| W1LLK1LL vs Feng | 0–1 | 0.00% |
| W1LLK1LL vs Panda | 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.