| WEAKindaKNEES vs Jin | 91–91 | 50.00% |
| WEAKindaKNEES vs Dragunov | 83–84 | 49.70% |
| WEAKindaKNEES vs Kazuya | 85–70 | 54.84% |
| WEAKindaKNEES vs Bryan | 69–77 | 47.26% |
| WEAKindaKNEES vs Lee | 69–55 | 55.65% |
| WEAKindaKNEES vs Hwoarang | 51–63 | 44.74% |
| WEAKindaKNEES vs Steve | 53–60 | 46.90% |
| WEAKindaKNEES vs Reina | 65–41 | 61.32% |
| WEAKindaKNEES vs Lili | 45–57 | 44.12% |
| WEAKindaKNEES vs Paul | 41–60 | 40.59% |
| WEAKindaKNEES vs Victor | 48–50 | 48.98% |
| WEAKindaKNEES vs King | 39–53 | 42.39% |
| WEAKindaKNEES vs Yoshimitsu | 38–39 | 49.35% |
| WEAKindaKNEES vs Law | 31–44 | 41.33% |
| WEAKindaKNEES vs Jack-8 | 24–48 | 33.33% |
| WEAKindaKNEES vs Devil Jin | 30–38 | 44.12% |
| WEAKindaKNEES vs Feng | 30–35 | 46.15% |
| WEAKindaKNEES vs Jun | 27–34 | 44.26% |
| WEAKindaKNEES vs Lars | 15–28 | 34.88% |
| WEAKindaKNEES vs Eddy | 19–22 | 46.34% |
| WEAKindaKNEES vs Alisa | 13–27 | 32.50% |
| WEAKindaKNEES vs Xiaoyu | 17–21 | 44.74% |
| WEAKindaKNEES vs Nina | 13–24 | 35.14% |
| WEAKindaKNEES vs Asuka | 16–20 | 44.44% |
| WEAKindaKNEES vs Leroy | 23–11 | 67.65% |
| WEAKindaKNEES vs Leo | 16–14 | 53.33% |
| WEAKindaKNEES vs Shaheen | 13–17 | 43.33% |
| WEAKindaKNEES vs Clive | 12–17 | 41.38% |
| WEAKindaKNEES vs Azucena | 10–15 | 40.00% |
| WEAKindaKNEES vs Kuma | 7–17 | 29.17% |
| WEAKindaKNEES vs Claudio | 7–16 | 30.43% |
| WEAKindaKNEES vs Lidia | 15–7 | 68.18% |
| WEAKindaKNEES vs Raven | 5–14 | 26.32% |
| WEAKindaKNEES vs Heihachi | 9–9 | 50.00% |
| WEAKindaKNEES vs Zafina | 7–7 | 50.00% |
| WEAKindaKNEES vs Panda | 0–4 | 0.00% |
| WEAKindaKNEES vs Armor King | 2–0 | 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.