| Whargls vs Kazuya | 65–72 | 47.45% |
| Whargls vs Jin | 69–57 | 54.76% |
| Whargls vs Bryan | 60–60 | 50.00% |
| Whargls vs Reina | 49–50 | 49.49% |
| Whargls vs Heihachi | 48–48 | 50.00% |
| Whargls vs Dragunov | 42–53 | 44.21% |
| Whargls vs Hwoarang | 42–52 | 44.68% |
| Whargls vs King | 32–57 | 35.96% |
| Whargls vs Yoshimitsu | 39–40 | 49.37% |
| Whargls vs Law | 30–36 | 45.45% |
| Whargls vs Lili | 30–36 | 45.45% |
| Whargls vs Paul | 32–30 | 51.61% |
| Whargls vs Eddy | 22–40 | 35.48% |
| Whargls vs Steve | 23–29 | 44.23% |
| Whargls vs Asuka | 27–23 | 54.00% |
| Whargls vs Lee | 28–22 | 56.00% |
| Whargls vs Jun | 20–27 | 42.55% |
| Whargls vs Nina | 26–19 | 57.78% |
| Whargls vs Lars | 18–26 | 40.91% |
| Whargls vs Armor King | 19–22 | 46.34% |
| Whargls vs Azucena | 17–23 | 42.50% |
| Whargls vs Devil Jin | 21–18 | 53.85% |
| Whargls vs Xiaoyu | 15–21 | 41.67% |
| Whargls vs Leroy | 17–15 | 53.12% |
| Whargls vs Feng | 15–15 | 50.00% |
| Whargls vs Claudio | 16–12 | 57.14% |
| Whargls vs Fahkumram | 13–15 | 46.43% |
| Whargls vs Alisa | 15–10 | 60.00% |
| Whargls vs Raven | 15–10 | 60.00% |
| Whargls vs Clive | 15–9 | 62.50% |
| Whargls vs Victor | 9–11 | 45.00% |
| Whargls vs Shaheen | 8–9 | 47.06% |
| Whargls vs Zafina | 5–12 | 29.41% |
| Whargls vs Leo | 9–7 | 56.25% |
| Whargls vs Lidia | 7–9 | 43.75% |
| Whargls vs Kuma | 5–7 | 41.67% |
| Whargls vs Miary Zo | 1–11 | 8.33% |
| Whargls vs Anna | 7–4 | 63.64% |
| Whargls vs Jack-8 | 1–4 | 20.00% |
| Whargls vs Panda | 1–4 | 20.00% |
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.