| x Lark vs Kazuya | 38–73 | 34.23% |
| x Lark vs Law | 40–60 | 40.00% |
| x Lark vs Jin | 48–51 | 48.48% |
| x Lark vs King | 39–56 | 41.05% |
| x Lark vs Steve | 45–50 | 47.37% |
| x Lark vs Dragunov | 27–34–1 | 44.26% |
| x Lark vs Lars | 29–33 | 46.77% |
| x Lark vs Clive | 33–29 | 53.23% |
| x Lark vs Jun | 25–36 | 40.98% |
| x Lark vs Bryan | 25–32 | 43.86% |
| x Lark vs Reina | 30–25 | 54.55% |
| x Lark vs Hwoarang | 27–25 | 51.92% |
| x Lark vs Azucena | 28–24 | 53.85% |
| x Lark vs Lili | 25–25 | 50.00% |
| x Lark vs Anna | 20–27 | 42.55% |
| x Lark vs Yoshimitsu | 19–22 | 46.34% |
| x Lark vs Eddy | 19–21 | 47.50% |
| x Lark vs Alisa | 19–20 | 48.72% |
| x Lark vs Fahkumram | 17–22 | 43.59% |
| x Lark vs Nina | 13–25 | 34.21% |
| x Lark vs Asuka | 15–20 | 42.86% |
| x Lark vs Xiaoyu | 17–15 | 53.12% |
| x Lark vs Heihachi | 15–17 | 46.88% |
| x Lark vs Paul | 13–18 | 41.94% |
| x Lark vs Devil Jin | 8–23 | 25.81% |
| x Lark vs Leo | 20–11 | 64.52% |
| x Lark vs Lidia | 11–17–1 | 39.29% |
| x Lark vs Armor King | 11–18 | 37.93% |
| x Lark vs Jack-8 | 9–17 | 34.62% |
| x Lark vs Victor | 12–12 | 50.00% |
| x Lark vs Lee | 9–14 | 39.13% |
| x Lark vs Kuma | 13–9 | 59.09% |
| x Lark vs Claudio | 10–11 | 47.62% |
| x Lark vs Leroy | 9–11 | 45.00% |
| x Lark vs Raven | 12–7 | 63.16% |
| x Lark vs Feng | 7–11 | 38.89% |
| x Lark vs Zafina | 3–11 | 21.43% |
| x Lark vs Miary Zo | 5–6 | 45.45% |
| x Lark vs Shaheen | 1–8 | 11.11% |
| x Lark vs Panda | 2–5 | 28.57% |
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.