| Lamberrt vs King | 31–37 | 45.59% |
| Lamberrt vs Kazuya | 40–26 | 60.61% |
| Lamberrt vs Steve | 27–26 | 50.94% |
| Lamberrt vs Eddy | 24–18 | 57.14% |
| Lamberrt vs Lili | 16–24 | 40.00% |
| Lamberrt vs Jin | 21–15 | 58.33% |
| Lamberrt vs Paul | 11–23 | 32.35% |
| Lamberrt vs Law | 14–20 | 41.18% |
| Lamberrt vs Dragunov | 14–20 | 41.18% |
| Lamberrt vs Reina | 23–11 | 67.65% |
| Lamberrt vs Azucena | 16–15 | 51.61% |
| Lamberrt vs Hwoarang | 14–16 | 46.67% |
| Lamberrt vs Asuka | 14–14 | 50.00% |
| Lamberrt vs Lars | 7–19 | 26.92% |
| Lamberrt vs Devil Jin | 15–9 | 62.50% |
| Lamberrt vs Clive | 13–11 | 54.17% |
| Lamberrt vs Bryan | 7–15 | 31.82% |
| Lamberrt vs Lee | 10–11 | 47.62% |
| Lamberrt vs Jun | 4–16 | 20.00% |
| Lamberrt vs Nina | 9–6 | 60.00% |
| Lamberrt vs Heihachi | 6–9 | 40.00% |
| Lamberrt vs Anna | 7–8 | 46.67% |
| Lamberrt vs Victor | 9–5 | 64.29% |
| Lamberrt vs Claudio | 8–5 | 61.54% |
| Lamberrt vs Leroy | 5–7 | 41.67% |
| Lamberrt vs Xiaoyu | 4–7 | 36.36% |
| Lamberrt vs Panda | 8–3 | 72.73% |
| Lamberrt vs Lidia | 4–7 | 36.36% |
| Lamberrt vs Fahkumram | 5–6 | 45.45% |
| Lamberrt vs Armor King | 8–3 | 72.73% |
| Lamberrt vs Alisa | 4–5 | 44.44% |
| Lamberrt vs Yoshimitsu | 6–2 | 75.00% |
| Lamberrt vs Jack-8 | 3–5 | 37.50% |
| Lamberrt vs Kuma | 2–4 | 33.33% |
| Lamberrt vs Shaheen | 4–1 | 80.00% |
| Lamberrt vs Leo | 2–2 | 50.00% |
| Lamberrt vs Zafina | 2–1 | 66.67% |
| Lamberrt vs Raven | 1–2 | 33.33% |
| Lamberrt vs Feng | 2–0 | 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.