| its lmao vs Kazuya | 62–48 | 56.36% |
| its lmao vs Bryan | 47–40 | 54.02% |
| its lmao vs King | 47–30 | 61.04% |
| its lmao vs Dragunov | 40–29 | 57.97% |
| its lmao vs Fahkumram | 36–33 | 52.17% |
| its lmao vs Reina | 36–32 | 52.94% |
| its lmao vs Steve | 44–23 | 65.67% |
| its lmao vs Jun | 43–18 | 70.49% |
| its lmao vs Jin | 32–28 | 53.33% |
| its lmao vs Yoshimitsu | 29–30 | 49.15% |
| its lmao vs Heihachi | 25–28 | 47.17% |
| its lmao vs Lili | 26–25 | 50.98% |
| its lmao vs Leo | 34–17 | 66.67% |
| its lmao vs Law | 30–20 | 60.00% |
| its lmao vs Azucena | 24–24 | 50.00% |
| its lmao vs Xiaoyu | 23–23 | 50.00% |
| its lmao vs Asuka | 23–20 | 53.49% |
| its lmao vs Hwoarang | 20–21 | 48.78% |
| its lmao vs Anna | 20–21 | 48.78% |
| its lmao vs Lee | 18–22 | 45.00% |
| its lmao vs Armor King | 24–15 | 61.54% |
| its lmao vs Paul | 20–17 | 54.05% |
| its lmao vs Lidia | 21–16 | 56.76% |
| its lmao vs Clive | 20–12 | 62.50% |
| its lmao vs Lars | 10–20 | 33.33% |
| its lmao vs Feng | 15–13 | 53.57% |
| its lmao vs Nina | 18–10 | 64.29% |
| its lmao vs Eddy | 13–14 | 48.15% |
| its lmao vs Devil Jin | 11–10 | 52.38% |
| its lmao vs Zafina | 10–9 | 52.63% |
| its lmao vs Leroy | 7–9 | 43.75% |
| its lmao vs Victor | 7–8 | 46.67% |
| its lmao vs Jack-8 | 9–5 | 64.29% |
| its lmao vs Claudio | 3–10 | 23.08% |
| its lmao vs Raven | 3–8 | 27.27% |
| its lmao vs Miary Zo | 4–6 | 40.00% |
| its lmao vs Kuma | 7–1 | 87.50% |
| its lmao vs Panda | 6–2 | 75.00% |
| its lmao vs Alisa | 3–2 | 60.00% |
| its lmao vs Shaheen | 1–2 | 33.33% |
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.