| LRNz vs Jin | 36–46 | 43.90% |
| LRNz vs Kazuya | 25–35 | 41.67% |
| LRNz vs Dragunov | 27–16 | 62.79% |
| LRNz vs Reina | 23–17 | 57.50% |
| LRNz vs King | 19–19 | 50.00% |
| LRNz vs Bryan | 20–16 | 55.56% |
| LRNz vs Hwoarang | 17–18 | 48.57% |
| LRNz vs Asuka | 16–14 | 53.33% |
| LRNz vs Paul | 15–13 | 53.57% |
| LRNz vs Law | 10–18 | 35.71% |
| LRNz vs Nina | 18–10 | 64.29% |
| LRNz vs Lili | 12–15 | 44.44% |
| LRNz vs Azucena | 17–8 | 68.00% |
| LRNz vs Jun | 8–16 | 33.33% |
| LRNz vs Anna | 10–12 | 45.45% |
| LRNz vs Yoshimitsu | 11–10 | 52.38% |
| LRNz vs Heihachi | 14–7 | 66.67% |
| LRNz vs Devil Jin | 10–9 | 52.63% |
| LRNz vs Eddy | 5–14 | 26.32% |
| LRNz vs Steve | 11–7 | 61.11% |
| LRNz vs Claudio | 6–12 | 33.33% |
| LRNz vs Lee | 9–8 | 52.94% |
| LRNz vs Lidia | 9–7 | 56.25% |
| LRNz vs Lars | 5–10 | 33.33% |
| LRNz vs Victor | 3–9 | 25.00% |
| LRNz vs Raven | 5–6 | 45.45% |
| LRNz vs Leo | 5–5 | 50.00% |
| LRNz vs Jack-8 | 2–7 | 22.22% |
| LRNz vs Feng | 2–7 | 22.22% |
| LRNz vs Zafina | 5–4 | 55.56% |
| LRNz vs Xiaoyu | 6–2 | 75.00% |
| LRNz vs Kuma | 5–3 | 62.50% |
| LRNz vs Clive | 4–3 | 57.14% |
| LRNz vs Fahkumram | 3–4 | 42.86% |
| LRNz vs Alisa | 1–5 | 16.67% |
| LRNz vs Panda | 2–4 | 33.33% |
| LRNz vs Leroy | 1–4 | 20.00% |
| LRNz vs Miary Zo | 2–2 | 50.00% |
| LRNz vs Shaheen | 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.