| CodeNameLazy vs Jin | 27–35 | 43.55% |
| CodeNameLazy vs Armor King | 19–38 | 33.33% |
| CodeNameLazy vs Reina | 18–18 | 50.00% |
| CodeNameLazy vs Bryan | 10–25 | 28.57% |
| CodeNameLazy vs Steve | 16–19 | 45.71% |
| CodeNameLazy vs Dragunov | 12–21 | 36.36% |
| CodeNameLazy vs Paul | 16–13 | 55.17% |
| CodeNameLazy vs Kazuya | 16–13 | 55.17% |
| CodeNameLazy vs Law | 9–16 | 36.00% |
| CodeNameLazy vs Asuka | 8–16 | 33.33% |
| CodeNameLazy vs Lili | 5–18 | 21.74% |
| CodeNameLazy vs Yoshimitsu | 10–12 | 45.45% |
| CodeNameLazy vs Clive | 10–12 | 45.45% |
| CodeNameLazy vs Claudio | 7–12 | 36.84% |
| CodeNameLazy vs Victor | 10–9 | 52.63% |
| CodeNameLazy vs King | 9–9 | 50.00% |
| CodeNameLazy vs Nina | 5–12 | 29.41% |
| CodeNameLazy vs Hwoarang | 6–10 | 37.50% |
| CodeNameLazy vs Devil Jin | 6–9 | 40.00% |
| CodeNameLazy vs Eddy | 4–11 | 26.67% |
| CodeNameLazy vs Lars | 8–5 | 61.54% |
| CodeNameLazy vs Kuma | 5–8 | 38.46% |
| CodeNameLazy vs Azucena | 6–7 | 46.15% |
| CodeNameLazy vs Jun | 2–9 | 18.18% |
| CodeNameLazy vs Heihachi | 5–6 | 45.45% |
| CodeNameLazy vs Feng | 3–7 | 30.00% |
| CodeNameLazy vs Alisa | 9–1 | 90.00% |
| CodeNameLazy vs Shaheen | 4–6 | 40.00% |
| CodeNameLazy vs Leo | 6–3 | 66.67% |
| CodeNameLazy vs Fahkumram | 7–2 | 77.78% |
| CodeNameLazy vs Xiaoyu | 7–0 | 100.00% |
| CodeNameLazy vs Anna | 4–3 | 57.14% |
| CodeNameLazy vs Lidia | 2–4 | 33.33% |
| CodeNameLazy vs Lee | 2–2 | 50.00% |
| CodeNameLazy vs Zafina | 0–4 | 0.00% |
| CodeNameLazy vs Leroy | 2–2 | 50.00% |
| CodeNameLazy vs Jack-8 | 0–1 | 0.00% |
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.