| LAFlame vs King | 113–94 | 54.59% |
| LAFlame vs Kazuya | 78–104 | 42.86% |
| LAFlame vs Reina | 83–76 | 52.20% |
| LAFlame vs Steve | 65–85 | 43.33% |
| LAFlame vs Jin | 59–74 | 44.36% |
| LAFlame vs Heihachi | 60–57 | 51.28% |
| LAFlame vs Law | 53–61 | 46.49% |
| LAFlame vs Jun | 59–49 | 54.63% |
| LAFlame vs Hwoarang | 61–37 | 62.24% |
| LAFlame vs Dragunov | 38–54 | 41.30% |
| LAFlame vs Bryan | 40–43 | 48.19% |
| LAFlame vs Asuka | 42–37 | 53.16% |
| LAFlame vs Azucena | 38–41 | 48.10% |
| LAFlame vs Lars | 30–47 | 38.96% |
| LAFlame vs Lee | 31–45 | 40.79% |
| LAFlame vs Lili | 29–43 | 40.28% |
| LAFlame vs Lidia | 40–27 | 59.70% |
| LAFlame vs Yoshimitsu | 39–26 | 60.00% |
| LAFlame vs Paul | 23–37 | 38.33% |
| LAFlame vs Alisa | 34–25 | 57.63% |
| LAFlame vs Victor | 33–26 | 55.93% |
| LAFlame vs Eddy | 28–31 | 47.46% |
| LAFlame vs Nina | 22–33 | 40.00% |
| LAFlame vs Xiaoyu | 31–22 | 58.49% |
| LAFlame vs Jack-8 | 20–28 | 41.67% |
| LAFlame vs Clive | 18–30 | 37.50% |
| LAFlame vs Armor King | 27–20 | 57.45% |
| LAFlame vs Leo | 21–23 | 47.73% |
| LAFlame vs Raven | 26–18 | 59.09% |
| LAFlame vs Claudio | 22–21 | 51.16% |
| LAFlame vs Feng | 20–22 | 47.62% |
| LAFlame vs Fahkumram | 15–19 | 44.12% |
| LAFlame vs Leroy | 11–22 | 33.33% |
| LAFlame vs Anna | 18–13 | 58.06% |
| LAFlame vs Miary Zo | 15–10 | 60.00% |
| LAFlame vs Devil Jin | 9–13 | 40.91% |
| LAFlame vs Shaheen | 12–10 | 54.55% |
| LAFlame vs Kuma | 10–11 | 47.62% |
| LAFlame vs Zafina | 7–13 | 35.00% |
| LAFlame vs Panda | 3–8 | 27.27% |
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.