| DieLärks vs Jin | 33–52 | 38.82% |
| DieLärks vs Armor King | 36–40 | 47.37% |
| DieLärks vs Miary Zo | 25–36 | 40.98% |
| DieLärks vs Kazuya | 24–34 | 41.38% |
| DieLärks vs Reina | 23–28 | 45.10% |
| DieLärks vs Eddy | 21–26 | 44.68% |
| DieLärks vs King | 20–26 | 43.48% |
| DieLärks vs Asuka | 17–27 | 38.64% |
| DieLärks vs Steve | 20–14 | 58.82% |
| DieLärks vs Devil Jin | 15–18 | 45.45% |
| DieLärks vs Azucena | 16–15 | 51.61% |
| DieLärks vs Law | 13–15 | 46.43% |
| DieLärks vs Lili | 9–19 | 32.14% |
| DieLärks vs Bryan | 11–15 | 42.31% |
| DieLärks vs Dragunov | 9–17 | 34.62% |
| DieLärks vs Lidia | 10–12 | 45.45% |
| DieLärks vs Feng | 11–10 | 52.38% |
| DieLärks vs Heihachi | 9–12 | 42.86% |
| DieLärks vs Fahkumram | 8–10 | 44.44% |
| DieLärks vs Paul | 11–5 | 68.75% |
| DieLärks vs Alisa | 7–9 | 43.75% |
| DieLärks vs Jun | 5–11 | 31.25% |
| DieLärks vs Lee | 6–9 | 40.00% |
| DieLärks vs Nina | 8–6 | 57.14% |
| DieLärks vs Yoshimitsu | 7–6 | 53.85% |
| DieLärks vs Clive | 8–5 | 61.54% |
| DieLärks vs Xiaoyu | 5–7 | 41.67% |
| DieLärks vs Victor | 3–9 | 25.00% |
| DieLärks vs Raven | 5–7 | 41.67% |
| DieLärks vs Anna | 6–6 | 50.00% |
| DieLärks vs Hwoarang | 6–5 | 54.55% |
| DieLärks vs Jack-8 | 5–6 | 45.45% |
| DieLärks vs Kuma | 7–4 | 63.64% |
| DieLärks vs Lars | 4–6 | 40.00% |
| DieLärks vs Leo | 3–3 | 50.00% |
| DieLärks vs Leroy | 0–6 | 0.00% |
| DieLärks vs Shaheen | 1–2 | 33.33% |
| DieLärks vs Zafina | 0–2 | 0.00% |
| DieLärks 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.