| ssjlamar vs King | 30–31 | 49.18% |
| ssjlamar vs Reina | 28–26 | 51.85% |
| ssjlamar vs Armor King | 21–27 | 43.75% |
| ssjlamar vs Jin | 21–26 | 44.68% |
| ssjlamar vs Kazuya | 28–16 | 63.64% |
| ssjlamar vs Law | 21–13 | 61.76% |
| ssjlamar vs Yoshimitsu | 22–12 | 64.71% |
| ssjlamar vs Hwoarang | 16–17 | 48.48% |
| ssjlamar vs Heihachi | 9–23 | 28.12% |
| ssjlamar vs Steve | 20–10 | 66.67% |
| ssjlamar vs Dragunov | 13–17 | 43.33% |
| ssjlamar vs Azucena | 13–16 | 44.83% |
| ssjlamar vs Asuka | 17–11 | 60.71% |
| ssjlamar vs Bryan | 17–10 | 62.96% |
| ssjlamar vs Paul | 15–10 | 60.00% |
| ssjlamar vs Eddy | 5–20 | 20.00% |
| ssjlamar vs Lidia | 17–7 | 70.83% |
| ssjlamar vs Lars | 12–10 | 54.55% |
| ssjlamar vs Jack-8 | 5–14 | 26.32% |
| ssjlamar vs Anna | 12–7 | 63.16% |
| ssjlamar vs Victor | 10–7 | 58.82% |
| ssjlamar vs Lili | 7–9 | 43.75% |
| ssjlamar vs Jun | 8–7 | 53.33% |
| ssjlamar vs Clive | 4–10 | 28.57% |
| ssjlamar vs Nina | 7–5 | 58.33% |
| ssjlamar vs Xiaoyu | 8–3 | 72.73% |
| ssjlamar vs Leo | 7–4 | 63.64% |
| ssjlamar vs Kuma | 3–7 | 30.00% |
| ssjlamar vs Miary Zo | 5–5 | 50.00% |
| ssjlamar vs Claudio | 2–5 | 28.57% |
| ssjlamar vs Lee | 2–5 | 28.57% |
| ssjlamar vs Leroy | 4–3 | 57.14% |
| ssjlamar vs Feng | 3–3 | 50.00% |
| ssjlamar vs Alisa | 6–0 | 100.00% |
| ssjlamar vs Devil Jin | 1–3 | 25.00% |
| ssjlamar vs Shaheen | 2–2 | 50.00% |
| ssjlamar vs Raven | 1–3 | 25.00% |
| ssjlamar vs Zafina | 2–1 | 66.67% |
| ssjlamar vs Fahkumram | 1–2 | 33.33% |
| ssjlamar vs Panda | 0–2 | 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.