| LONLON vs Kazuya | 199–277 | 41.81% |
| LONLON vs Reina | 194–249 | 43.79% |
| LONLON vs King | 164–216 | 43.16% |
| LONLON vs Jin | 163–210 | 43.70% |
| LONLON vs Paul | 161–211 | 43.28% |
| LONLON vs Dragunov | 153–214 | 41.69% |
| LONLON vs Bryan | 135–194 | 41.03% |
| LONLON vs Hwoarang | 143–184 | 43.73% |
| LONLON vs Asuka | 141–186 | 43.12% |
| LONLON vs Lili | 124–154 | 44.60% |
| LONLON vs Steve | 104–135 | 43.51% |
| LONLON vs Jun | 101–118 | 46.12% |
| LONLON vs Lidia | 102–112 | 47.66% |
| LONLON vs Law | 100–106 | 48.54% |
| LONLON vs Victor | 69–118 | 36.90% |
| LONLON vs Yoshimitsu | 58–108 | 34.94% |
| LONLON vs Heihachi | 54–106 | 33.75% |
| LONLON vs Clive | 48–110 | 30.38% |
| LONLON vs Devil Jin | 57–89 | 39.04% |
| LONLON vs Fahkumram | 58–87 | 40.00% |
| LONLON vs Xiaoyu | 62–66 | 48.44% |
| LONLON vs Azucena | 43–84 | 33.86% |
| LONLON vs Armor King | 50–77 | 39.37% |
| LONLON vs Alisa | 45–75 | 37.50% |
| LONLON vs Claudio | 48–70 | 40.68% |
| LONLON vs Feng | 37–80 | 31.62% |
| LONLON vs Nina | 44–68 | 39.29% |
| LONLON vs Lars | 53–58 | 47.75% |
| LONLON vs Jack-8 | 31–75 | 29.25% |
| LONLON vs Leroy | 47–56 | 45.63% |
| LONLON vs Leo | 46–53 | 46.46% |
| LONLON vs Anna | 37–58 | 38.95% |
| LONLON vs Lee | 40–45 | 47.06% |
| LONLON vs Eddy | 27–49 | 35.53% |
| LONLON vs Kuma | 25–30–1 | 45.45% |
| LONLON vs Zafina | 25–27 | 48.08% |
| LONLON vs Shaheen | 18–33 | 35.29% |
| LONLON vs Raven | 22–29 | 43.14% |
| LONLON vs Miary Zo | 20–28 | 41.67% |
| LONLON vs Panda | 17–15 | 53.12% |
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.