| LardonLord vs Kazuya | 13–3 | 81.25% |
| LardonLord vs Jin | 13–0 | 100.00% |
| LardonLord vs King | 9–3 | 75.00% |
| LardonLord vs Law | 8–2 | 80.00% |
| LardonLord vs Armor King | 6–4 | 60.00% |
| LardonLord vs Bryan | 6–3 | 66.67% |
| LardonLord vs Dragunov | 8–1 | 88.89% |
| LardonLord vs Eddy | 9–0 | 100.00% |
| LardonLord vs Steve | 6–2 | 75.00% |
| LardonLord vs Paul | 6–0 | 100.00% |
| LardonLord vs Yoshimitsu | 3–3 | 50.00% |
| LardonLord vs Nina | 6–0 | 100.00% |
| LardonLord vs Reina | 5–1 | 83.33% |
| LardonLord vs Victor | 6–0 | 100.00% |
| LardonLord vs Zafina | 2–3 | 40.00% |
| LardonLord vs Hwoarang | 2–2 | 50.00% |
| LardonLord vs Lili | 3–1 | 75.00% |
| LardonLord vs Lee | 4–0 | 100.00% |
| LardonLord vs Jun | 4–0 | 100.00% |
| LardonLord vs Azucena | 4–0 | 100.00% |
| LardonLord vs Leo | 3–0 | 100.00% |
| LardonLord vs Lars | 3–0 | 100.00% |
| LardonLord vs Claudio | 3–0 | 100.00% |
| LardonLord vs Shaheen | 2–1 | 66.67% |
| LardonLord vs Kuma | 2–1 | 66.67% |
| LardonLord vs Lidia | 2–1 | 66.67% |
| LardonLord vs Clive | 2–1 | 66.67% |
| LardonLord vs Jack-8 | 2–0 | 100.00% |
| LardonLord vs Feng | 1–1 | 50.00% |
| LardonLord vs Heihachi | 2–0 | 100.00% |
| LardonLord vs Anna | 2–0 | 100.00% |
| LardonLord vs Fahkumram | 0–2 | 0.00% |
| LardonLord vs Xiaoyu | 0–1 | 0.00% |
| LardonLord vs Panda | 0–1 | 0.00% |
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.