| Palkeno vs Kazuya | 147–94 | 61.00% |
| Palkeno vs Jin | 109–104 | 51.17% |
| Palkeno vs King | 123–70 | 63.73% |
| Palkeno vs Law | 128–53 | 70.72% |
| Palkeno vs Reina | 73–82 | 47.10% |
| Palkeno vs Steve | 79–70 | 53.02% |
| Palkeno vs Bryan | 77–58 | 57.04% |
| Palkeno vs Heihachi | 57–77 | 42.54% |
| Palkeno vs Eddy | 79–40 | 66.39% |
| Palkeno vs Clive | 75–43 | 63.56% |
| Palkeno vs Hwoarang | 59–47 | 55.66% |
| Palkeno vs Dragunov | 43–61 | 41.35% |
| Palkeno vs Yoshimitsu | 50–50 | 50.00% |
| Palkeno vs Paul | 60–39 | 60.61% |
| Palkeno vs Asuka | 63–36 | 63.64% |
| Palkeno vs Azucena | 57–41 | 58.16% |
| Palkeno vs Devil Jin | 50–46 | 52.08% |
| Palkeno vs Lee | 40–53 | 43.01% |
| Palkeno vs Lars | 30–50 | 37.50% |
| Palkeno vs Feng | 32–47 | 40.51% |
| Palkeno vs Lili | 39–35 | 52.70% |
| Palkeno vs Jun | 38–34 | 52.78% |
| Palkeno vs Victor | 22–46 | 32.35% |
| Palkeno vs Xiaoyu | 48–18 | 72.73% |
| Palkeno vs Lidia | 30–27 | 52.63% |
| Palkeno vs Leroy | 34–22 | 60.71% |
| Palkeno vs Armor King | 25–25 | 50.00% |
| Palkeno vs Jack-8 | 23–26 | 46.94% |
| Palkeno vs Raven | 23–26 | 46.94% |
| Palkeno vs Leo | 21–25 | 45.65% |
| Palkeno vs Claudio | 22–19 | 53.66% |
| Palkeno vs Alisa | 12–27 | 30.77% |
| Palkeno vs Shaheen | 20–17 | 54.05% |
| Palkeno vs Nina | 18–17 | 51.43% |
| Palkeno vs Zafina | 5–24 | 17.24% |
| Palkeno vs Kuma | 17–10 | 62.96% |
| Palkeno vs Anna | 15–11 | 57.69% |
| Palkeno vs Fahkumram | 13–13 | 50.00% |
| Palkeno vs Panda | 3–4 | 42.86% |
| Palkeno vs Miary Zo | 0–1 | 0.00% |
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.