| LazyCare vs Kazuya | 50–44 | 53.19% |
| LazyCare vs Dragunov | 41–53 | 43.62% |
| LazyCare vs Paul | 61–28 | 68.54% |
| LazyCare vs Jin | 39–38 | 50.65% |
| LazyCare vs Nina | 47–29–1 | 61.84% |
| LazyCare vs Hwoarang | 46–27 | 63.01% |
| LazyCare vs Bryan | 43–30 | 58.90% |
| LazyCare vs Reina | 32–27 | 54.24% |
| LazyCare vs King | 31–24 | 56.36% |
| LazyCare vs Law | 31–23 | 57.41% |
| LazyCare vs Lili | 32–21 | 60.38% |
| LazyCare vs Steve | 26–26 | 50.00% |
| LazyCare vs Jack-8 | 24–28 | 46.15% |
| LazyCare vs Victor | 27–24 | 52.94% |
| LazyCare vs Devil Jin | 28–18 | 60.87% |
| LazyCare vs Claudio | 22–23 | 48.89% |
| LazyCare vs Heihachi | 24–18 | 57.14% |
| LazyCare vs Lee | 20–21 | 48.78% |
| LazyCare vs Eddy | 20–20 | 50.00% |
| LazyCare vs Lars | 20–19 | 51.28% |
| LazyCare vs Asuka | 21–15 | 58.33% |
| LazyCare vs Yoshimitsu | 17–18 | 48.57% |
| LazyCare vs Feng | 19–16 | 54.29% |
| LazyCare vs Leo | 15–20 | 42.86% |
| LazyCare vs Alisa | 17–15 | 53.12% |
| LazyCare vs Azucena | 10–17 | 37.04% |
| LazyCare vs Raven | 10–17 | 37.04% |
| LazyCare vs Xiaoyu | 15–10 | 60.00% |
| LazyCare vs Leroy | 12–13 | 48.00% |
| LazyCare vs Kuma | 13–9 | 59.09% |
| LazyCare vs Zafina | 13–9 | 59.09% |
| LazyCare vs Panda | 8–10 | 44.44% |
| LazyCare vs Jun | 8–10 | 44.44% |
| LazyCare vs Shaheen | 6–10 | 37.50% |
| LazyCare vs Lidia | 6–6 | 50.00% |
| LazyCare vs Fahkumram | 8–3 | 72.73% |
| LazyCare vs Clive | 0–9 | 0.00% |
| LazyCare vs Anna | 6–2 | 75.00% |
| LazyCare vs Armor King | 3–4 | 42.86% |
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.