| KimchiPapi vs King | 86–105 | 45.03% |
| KimchiPapi vs Jin | 94–97 | 49.21% |
| KimchiPapi vs Kazuya | 93–80 | 53.76% |
| KimchiPapi vs Bryan | 83–68 | 54.97% |
| KimchiPapi vs Yoshimitsu | 78–69 | 53.06% |
| KimchiPapi vs Hwoarang | 69–71 | 49.29% |
| KimchiPapi vs Steve | 71–63 | 52.99% |
| KimchiPapi vs Reina | 74–59 | 55.64% |
| KimchiPapi vs Paul | 65–53 | 55.08% |
| KimchiPapi vs Xiaoyu | 63–55 | 53.39% |
| KimchiPapi vs Lars | 59–58 | 50.43% |
| KimchiPapi vs Law | 53–60 | 46.90% |
| KimchiPapi vs Lili | 46–66 | 41.07% |
| KimchiPapi vs Lee | 32–60 | 34.78% |
| KimchiPapi vs Victor | 55–33 | 62.50% |
| KimchiPapi vs Raven | 45–43 | 51.14% |
| KimchiPapi vs Dragunov | 43–42 | 50.59% |
| KimchiPapi vs Asuka | 43–38 | 53.09% |
| KimchiPapi vs Azucena | 38–40 | 48.72% |
| KimchiPapi vs Jun | 34–42 | 44.74% |
| KimchiPapi vs Eddy | 36–35 | 50.70% |
| KimchiPapi vs Devil Jin | 28–38 | 42.42% |
| KimchiPapi vs Nina | 26–34 | 43.33% |
| KimchiPapi vs Lidia | 32–28 | 53.33% |
| KimchiPapi vs Feng | 29–27 | 51.79% |
| KimchiPapi vs Alisa | 20–29 | 40.82% |
| KimchiPapi vs Leo | 20–27 | 42.55% |
| KimchiPapi vs Leroy | 19–21 | 47.50% |
| KimchiPapi vs Jack-8 | 20–18 | 52.63% |
| KimchiPapi vs Shaheen | 17–20 | 45.95% |
| KimchiPapi vs Claudio | 18–13 | 58.06% |
| KimchiPapi vs Kuma | 9–19 | 32.14% |
| KimchiPapi vs Panda | 5–10 | 33.33% |
| KimchiPapi vs Zafina | 6–9 | 40.00% |
| KimchiPapi vs Armor King | 6–8 | 42.86% |
| KimchiPapi vs Heihachi | 7–3 | 70.00% |
| KimchiPapi vs Anna | 0–2 | 0.00% |
| KimchiPapi vs Fahkumram | 0–2 | 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.