| Lãmbö vs Steve | 18–11 | 62.07% |
| Lãmbö vs King | 14–14 | 50.00% |
| Lãmbö vs Hwoarang | 13–12 | 52.00% |
| Lãmbö vs Law | 10–9 | 52.63% |
| Lãmbö vs Lars | 8–11 | 42.11% |
| Lãmbö vs Kazuya | 7–11 | 38.89% |
| Lãmbö vs Reina | 10–8 | 55.56% |
| Lãmbö vs Lidia | 7–10 | 41.18% |
| Lãmbö vs Jin | 2–14 | 12.50% |
| Lãmbö vs Eddy | 4–11 | 26.67% |
| Lãmbö vs Yoshimitsu | 7–7 | 50.00% |
| Lãmbö vs Bryan | 6–8 | 42.86% |
| Lãmbö vs Devil Jin | 10–4 | 71.43% |
| Lãmbö vs Nina | 8–5 | 61.54% |
| Lãmbö vs Leo | 7–5 | 58.33% |
| Lãmbö vs Heihachi | 7–5 | 58.33% |
| Lãmbö vs Lili | 9–2 | 81.82% |
| Lãmbö vs Alisa | 6–5 | 54.55% |
| Lãmbö vs Victor | 7–4 | 63.64% |
| Lãmbö vs Raven | 7–4 | 63.64% |
| Lãmbö vs Armor King | 5–6 | 45.45% |
| Lãmbö vs Jun | 8–2 | 80.00% |
| Lãmbö vs Azucena | 4–6 | 40.00% |
| Lãmbö vs Clive | 3–7 | 30.00% |
| Lãmbö vs Xiaoyu | 6–2 | 75.00% |
| Lãmbö vs Lee | 5–3 | 62.50% |
| Lãmbö vs Fahkumram | 4–4 | 50.00% |
| Lãmbö vs Paul | 2–5 | 28.57% |
| Lãmbö vs Dragunov | 4–3 | 57.14% |
| Lãmbö vs Shaheen | 3–4 | 42.86% |
| Lãmbö vs Feng | 2–3 | 40.00% |
| Lãmbö vs Kuma | 1–4 | 20.00% |
| Lãmbö vs Jack-8 | 1–3 | 25.00% |
| Lãmbö vs Asuka | 1–3 | 25.00% |
| Lãmbö vs Claudio | 0–3 | 0.00% |
| Lãmbö vs Panda | 1–2 | 33.33% |
| Lãmbö vs Leroy | 3–0 | 100.00% |
| Lãmbö vs Anna | 0–2 | 0.00% |
| Lãmbö vs Zafina | 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.