| WH7sk3lly vs King | 12–9 | 57.14% |
| WH7sk3lly vs Jin | 20–0 | 100.00% |
| WH7sk3lly vs Kazuya | 14–6 | 70.00% |
| WH7sk3lly vs Lars | 13–1 | 92.86% |
| WH7sk3lly vs Bryan | 9–4 | 69.23% |
| WH7sk3lly vs Reina | 13–0 | 100.00% |
| WH7sk3lly vs Eddy | 12–1 | 92.31% |
| WH7sk3lly vs Lidia | 11–2 | 84.62% |
| WH7sk3lly vs Hwoarang | 9–1 | 90.00% |
| WH7sk3lly vs Steve | 5–5 | 50.00% |
| WH7sk3lly vs Law | 9–0 | 100.00% |
| WH7sk3lly vs Yoshimitsu | 4–5 | 44.44% |
| WH7sk3lly vs Jun | 8–0 | 100.00% |
| WH7sk3lly vs Azucena | 6–2 | 75.00% |
| WH7sk3lly vs Miary Zo | 3–3 | 50.00% |
| WH7sk3lly vs Asuka | 5–0 | 100.00% |
| WH7sk3lly vs Lili | 5–0 | 100.00% |
| WH7sk3lly vs Lee | 4–1 | 80.00% |
| WH7sk3lly vs Fahkumram | 2–3 | 40.00% |
| WH7sk3lly vs Armor King | 2–3 | 40.00% |
| WH7sk3lly vs Alisa | 2–2 | 50.00% |
| WH7sk3lly vs Victor | 2–2 | 50.00% |
| WH7sk3lly vs Clive | 3–1 | 75.00% |
| WH7sk3lly vs Paul | 2–1 | 66.67% |
| WH7sk3lly vs Devil Jin | 1–2 | 33.33% |
| WH7sk3lly vs Dragunov | 1–2 | 33.33% |
| WH7sk3lly vs Nina | 1–2 | 33.33% |
| WH7sk3lly vs Raven | 3–0 | 100.00% |
| WH7sk3lly vs Kuma | 2–0 | 100.00% |
| WH7sk3lly vs Zafina | 2–0 | 100.00% |
| WH7sk3lly vs Heihachi | 2–0 | 100.00% |
| WH7sk3lly vs Jack-8 | 1–0 | 100.00% |
| WH7sk3lly vs Feng | 1–0 | 100.00% |
| WH7sk3lly vs Claudio | 1–0 | 100.00% |
| WH7sk3lly 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.