| Lazengann vs Hwoarang | 35–38 | 47.95% |
| Lazengann vs Kazuya | 45–23 | 66.18% |
| Lazengann vs Jin | 32–35 | 47.76% |
| Lazengann vs Steve | 40–25 | 61.54% |
| Lazengann vs Law | 34–27 | 55.74% |
| Lazengann vs King | 33–28 | 54.10% |
| Lazengann vs Bryan | 29–29 | 50.00% |
| Lazengann vs Yoshimitsu | 21–25–3 | 45.65% |
| Lazengann vs Dragunov | 18–27 | 40.00% |
| Lazengann vs Reina | 28–16 | 63.64% |
| Lazengann vs Jun | 26–13 | 66.67% |
| Lazengann vs Xiaoyu | 21–14 | 60.00% |
| Lazengann vs Eddy | 15–20 | 42.86% |
| Lazengann vs Asuka | 20–14 | 58.82% |
| Lazengann vs Lili | 16–16 | 50.00% |
| Lazengann vs Lee | 14–17 | 45.16% |
| Lazengann vs Azucena | 18–13 | 58.06% |
| Lazengann vs Devil Jin | 20–9 | 68.97% |
| Lazengann vs Paul | 14–13 | 51.85% |
| Lazengann vs Lars | 15–12 | 55.56% |
| Lazengann vs Feng | 11–15 | 42.31% |
| Lazengann vs Lidia | 8–17 | 32.00% |
| Lazengann vs Armor King | 11–12 | 47.83% |
| Lazengann vs Leo | 10–12 | 45.45% |
| Lazengann vs Nina | 9–13 | 40.91% |
| Lazengann vs Alisa | 12–8 | 60.00% |
| Lazengann vs Raven | 9–10 | 47.37% |
| Lazengann vs Heihachi | 11–7 | 61.11% |
| Lazengann vs Victor | 8–8 | 50.00% |
| Lazengann vs Fahkumram | 8–7 | 53.33% |
| Lazengann vs Jack-8 | 5–8 | 38.46% |
| Lazengann vs Leroy | 6–6 | 50.00% |
| Lazengann vs Claudio | 3–8 | 27.27% |
| Lazengann vs Shaheen | 5–5 | 50.00% |
| Lazengann vs Panda | 4–4 | 50.00% |
| Lazengann vs Zafina | 3–4 | 42.86% |
| Lazengann vs Clive | 3–3 | 50.00% |
| Lazengann vs Anna | 1–3 | 25.00% |
| Lazengann vs Kuma | 1–2 | 33.33% |
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.