| LabimAMK vs Kazuya | 62–56–1 | 52.54% |
| LabimAMK vs Jin | 47–49 | 48.96% |
| LabimAMK vs King | 45–34 | 56.96% |
| LabimAMK vs Law | 38–37 | 50.67% |
| LabimAMK vs Hwoarang | 44–18 | 70.97% |
| LabimAMK vs Heihachi | 24–34 | 41.38% |
| LabimAMK vs Jun | 29–23 | 55.77% |
| LabimAMK vs Bryan | 23–27 | 46.00% |
| LabimAMK vs Reina | 30–18 | 62.50% |
| LabimAMK vs Lili | 24–22 | 52.17% |
| LabimAMK vs Dragunov | 24–21 | 53.33% |
| LabimAMK vs Eddy | 23–20 | 53.49% |
| LabimAMK vs Paul | 17–24 | 41.46% |
| LabimAMK vs Nina | 23–18 | 56.10% |
| LabimAMK vs Steve | 28–12 | 70.00% |
| LabimAMK vs Azucena | 22–15 | 59.46% |
| LabimAMK vs Yoshimitsu | 16–20 | 44.44% |
| LabimAMK vs Victor | 20–15 | 57.14% |
| LabimAMK vs Feng | 16–12 | 57.14% |
| LabimAMK vs Asuka | 14–11 | 56.00% |
| LabimAMK vs Devil Jin | 9–16 | 36.00% |
| LabimAMK vs Lars | 16–9 | 64.00% |
| LabimAMK vs Jack-8 | 10–13 | 43.48% |
| LabimAMK vs Claudio | 12–11 | 52.17% |
| LabimAMK vs Clive | 10–12 | 45.45% |
| LabimAMK vs Alisa | 8–13 | 38.10% |
| LabimAMK vs Lidia | 12–9 | 57.14% |
| LabimAMK vs Xiaoyu | 14–6 | 70.00% |
| LabimAMK vs Lee | 3–14 | 17.65% |
| LabimAMK vs Leroy | 4–11 | 26.67% |
| LabimAMK vs Kuma | 7–6 | 53.85% |
| LabimAMK vs Leo | 4–6 | 40.00% |
| LabimAMK vs Shaheen | 3–7 | 30.00% |
| LabimAMK vs Zafina | 3–7 | 30.00% |
| LabimAMK vs Anna | 8–1 | 88.89% |
| LabimAMK vs Fahkumram | 6–3 | 66.67% |
| LabimAMK vs Raven | 4–2 | 66.67% |
| LabimAMK vs Armor King | 4–2 | 66.67% |
| LabimAMK vs Miary Zo | 0–4 | 0.00% |
| LabimAMK vs Panda | 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.