| Loarang vs Jin | 146–121 | 54.68% |
| Loarang vs Kazuya | 132–127 | 50.97% |
| Loarang vs Hwoarang | 140–106 | 56.91% |
| Loarang vs Dragunov | 111–118 | 48.47% |
| Loarang vs Bryan | 116–91 | 56.04% |
| Loarang vs King | 109–92 | 54.23% |
| Loarang vs Law | 98–65 | 60.12% |
| Loarang vs Yoshimitsu | 103–60 | 63.19% |
| Loarang vs Paul | 67–89 | 42.95% |
| Loarang vs Devil Jin | 81–71 | 53.29% |
| Loarang vs Heihachi | 59–75–1 | 44.03% |
| Loarang vs Lee | 55–75 | 42.31% |
| Loarang vs Steve | 65–63 | 50.78% |
| Loarang vs Reina | 60–68 | 46.88% |
| Loarang vs Xiaoyu | 68–54 | 55.74% |
| Loarang vs Lili | 67–50 | 57.26% |
| Loarang vs Lidia | 48–54 | 47.06% |
| Loarang vs Jun | 48–50 | 48.98% |
| Loarang vs Lars | 49–48 | 50.52% |
| Loarang vs Raven | 50–46 | 52.08% |
| Loarang vs Feng | 56–39 | 58.95% |
| Loarang vs Asuka | 48–34 | 58.54% |
| Loarang vs Leroy | 37–44 | 45.68% |
| Loarang vs Claudio | 32–46 | 41.03% |
| Loarang vs Alisa | 43–32 | 57.33% |
| Loarang vs Clive | 36–38 | 48.65% |
| Loarang vs Eddy | 39–33 | 54.17% |
| Loarang vs Azucena | 37–34 | 52.11% |
| Loarang vs Nina | 47–23 | 67.14% |
| Loarang vs Zafina | 24–41 | 36.92% |
| Loarang vs Jack-8 | 27–37 | 42.19% |
| Loarang vs Victor | 35–26 | 57.38% |
| Loarang vs Leo | 29–29 | 50.00% |
| Loarang vs Armor King | 19–30 | 38.78% |
| Loarang vs Shaheen | 13–26 | 33.33% |
| Loarang vs Fahkumram | 16–20 | 44.44% |
| Loarang vs Kuma | 12–19 | 38.71% |
| Loarang vs Anna | 12–17 | 41.38% |
| Loarang vs Panda | 4–2 | 66.67% |
| Loarang vs Miary Zo | 2–3 | 40.00% |
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.