| h1_we vs Kazuya | 37–32 | 53.62% |
| h1_we vs Jin | 35–17 | 67.31% |
| h1_we vs Dragunov | 21–29 | 42.00% |
| h1_we vs Bryan | 23–26 | 46.94% |
| h1_we vs King | 23–19 | 54.76% |
| h1_we vs Steve | 16–16 | 50.00% |
| h1_we vs Law | 12–16 | 42.86% |
| h1_we vs Heihachi | 14–9 | 60.87% |
| h1_we vs Paul | 11–11 | 50.00% |
| h1_we vs Yoshimitsu | 11–10 | 52.38% |
| h1_we vs Hwoarang | 5–12 | 29.41% |
| h1_we vs Anna | 5–12 | 29.41% |
| h1_we vs Lee | 5–11 | 31.25% |
| h1_we vs Jun | 9–7 | 56.25% |
| h1_we vs Xiaoyu | 10–5 | 66.67% |
| h1_we vs Nina | 8–7 | 53.33% |
| h1_we vs Devil Jin | 7–7 | 50.00% |
| h1_we vs Alisa | 14–0 | 100.00% |
| h1_we vs Eddy | 5–9 | 35.71% |
| h1_we vs Fahkumram | 8–5 | 61.54% |
| h1_we vs Victor | 8–4 | 66.67% |
| h1_we vs Lili | 5–4 | 55.56% |
| h1_we vs Lars | 3–5 | 37.50% |
| h1_we vs Shaheen | 3–5 | 37.50% |
| h1_we vs Reina | 5–3 | 62.50% |
| h1_we vs Jack-8 | 4–3 | 57.14% |
| h1_we vs Feng | 4–3 | 57.14% |
| h1_we vs Azucena | 3–4 | 42.86% |
| h1_we vs Armor King | 2–5 | 28.57% |
| h1_we vs Asuka | 3–2 | 60.00% |
| h1_we vs Clive | 2–2 | 50.00% |
| h1_we vs Claudio | 1–2 | 33.33% |
| h1_we vs Leroy | 1–2 | 33.33% |
| h1_we vs Raven | 0–3 | 0.00% |
| h1_we vs Leo | 1–1 | 50.00% |
| h1_we vs Lidia | 1–1 | 50.00% |
| h1_we vs Kuma | 0–1 | 0.00% |
| h1_we vs Panda | 1–0 | 100.00% |
| h1_we vs Zafina | 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.