| LB_Hz vs Dragunov | 38–17 | 69.09% |
| LB_Hz vs Kazuya | 37–12 | 75.51% |
| LB_Hz vs Hwoarang | 24–15 | 61.54% |
| LB_Hz vs Jin | 24–15 | 61.54% |
| LB_Hz vs Bryan | 28–8 | 77.78% |
| LB_Hz vs Paul | 26–6 | 81.25% |
| LB_Hz vs Law | 27–5 | 84.38% |
| LB_Hz vs King | 22–7–1 | 75.86% |
| LB_Hz vs Lili | 21–5 | 80.77% |
| LB_Hz vs Reina | 16–7 | 69.57% |
| LB_Hz vs Victor | 17–5 | 77.27% |
| LB_Hz vs Lidia | 12–9 | 57.14% |
| LB_Hz vs Yoshimitsu | 15–2 | 88.24% |
| LB_Hz vs Alisa | 14–3 | 82.35% |
| LB_Hz vs Lars | 7–9 | 43.75% |
| LB_Hz vs Xiaoyu | 12–3 | 80.00% |
| LB_Hz vs Steve | 10–5 | 66.67% |
| LB_Hz vs Devil Jin | 10–5 | 66.67% |
| LB_Hz vs Azucena | 8–6 | 57.14% |
| LB_Hz vs Jun | 11–2 | 84.62% |
| LB_Hz vs Raven | 8–3 | 72.73% |
| LB_Hz vs Armor King | 10–1 | 90.91% |
| LB_Hz vs Feng | 10–0 | 100.00% |
| LB_Hz vs Leroy | 6–4 | 60.00% |
| LB_Hz vs Jack-8 | 6–3 | 66.67% |
| LB_Hz vs Claudio | 4–5 | 44.44% |
| LB_Hz vs Asuka | 5–3 | 62.50% |
| LB_Hz vs Leo | 6–2 | 75.00% |
| LB_Hz vs Nina | 7–1 | 87.50% |
| LB_Hz vs Heihachi | 5–1 | 83.33% |
| LB_Hz vs Anna | 5–0 | 100.00% |
| LB_Hz vs Lee | 4–0 | 100.00% |
| LB_Hz vs Kuma | 2–2 | 50.00% |
| LB_Hz vs Zafina | 3–1 | 75.00% |
| LB_Hz vs Eddy | 3–1 | 75.00% |
| LB_Hz vs Miary Zo | 0–3 | 0.00% |
| LB_Hz vs Panda | 0–2 | 0.00% |
| LB_Hz vs Shaheen | 1–0 | 100.00% |
| LB_Hz vs Clive | 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.