| LingaPanda vs King | 111–128 | 46.44% |
| LingaPanda vs Kazuya | 105–134 | 43.93% |
| LingaPanda vs Bryan | 98–128 | 43.36% |
| LingaPanda vs Reina | 116–100 | 53.70% |
| LingaPanda vs Law | 84–91 | 48.00% |
| LingaPanda vs Hwoarang | 82–91 | 47.40% |
| LingaPanda vs Jin | 77–87 | 46.95% |
| LingaPanda vs Lili | 81–73 | 52.60% |
| LingaPanda vs Heihachi | 71–77 | 47.97% |
| LingaPanda vs Dragunov | 58–77 | 42.96% |
| LingaPanda vs Lee | 66–67 | 49.62% |
| LingaPanda vs Yoshimitsu | 64–62 | 50.79% |
| LingaPanda vs Steve | 62–63 | 49.60% |
| LingaPanda vs Paul | 61–63 | 49.19% |
| LingaPanda vs Armor King | 46–78 | 37.10% |
| LingaPanda vs Xiaoyu | 46–61 | 42.99% |
| LingaPanda vs Lars | 52–43 | 54.74% |
| LingaPanda vs Feng | 48–39 | 55.17% |
| LingaPanda vs Azucena | 42–41 | 50.60% |
| LingaPanda vs Asuka | 36–38 | 48.65% |
| LingaPanda vs Devil Jin | 30–43 | 41.10% |
| LingaPanda vs Jun | 35–30 | 53.85% |
| LingaPanda vs Nina | 31–33 | 48.44% |
| LingaPanda vs Leroy | 35–27 | 56.45% |
| LingaPanda vs Alisa | 39–20 | 66.10% |
| LingaPanda vs Victor | 39–19 | 67.24% |
| LingaPanda vs Clive | 31–22 | 58.49% |
| LingaPanda vs Eddy | 22–30 | 42.31% |
| LingaPanda vs Shaheen | 23–28 | 45.10% |
| LingaPanda vs Claudio | 17–23 | 42.50% |
| LingaPanda vs Leo | 22–17 | 56.41% |
| LingaPanda vs Lidia | 18–21 | 46.15% |
| LingaPanda vs Kuma | 18–15 | 54.55% |
| LingaPanda vs Jack-8 | 20–11 | 64.52% |
| LingaPanda vs Raven | 16–14 | 53.33% |
| LingaPanda vs Fahkumram | 17–12 | 58.62% |
| LingaPanda vs Zafina | 14–11 | 56.00% |
| LingaPanda vs Panda | 14–10 | 58.33% |
| LingaPanda vs Anna | 9–7 | 56.25% |
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.