| KKN_BLUE vs Steve | 62–82 | 43.06% |
| KKN_BLUE vs Jin | 60–74 | 44.78% |
| KKN_BLUE vs Bryan | 67–61 | 52.34% |
| KKN_BLUE vs Kazuya | 49–69 | 41.53% |
| KKN_BLUE vs Dragunov | 53–51 | 50.96% |
| KKN_BLUE vs King | 44–51 | 46.32% |
| KKN_BLUE vs Armor King | 29–61 | 32.22% |
| KKN_BLUE vs Reina | 39–50 | 43.82% |
| KKN_BLUE vs Heihachi | 36–48 | 42.86% |
| KKN_BLUE vs Law | 28–46 | 37.84% |
| KKN_BLUE vs Paul | 31–31 | 50.00% |
| KKN_BLUE vs Hwoarang | 23–39 | 37.10% |
| KKN_BLUE vs Yoshimitsu | 29–31 | 48.33% |
| KKN_BLUE vs Lili | 24–36 | 40.00% |
| KKN_BLUE vs Fahkumram | 21–36 | 36.84% |
| KKN_BLUE vs Lars | 23–33 | 41.07% |
| KKN_BLUE vs Jun | 27–27 | 50.00% |
| KKN_BLUE vs Asuka | 19–28 | 40.43% |
| KKN_BLUE vs Lee | 24–22 | 52.17% |
| KKN_BLUE vs Clive | 25–20 | 55.56% |
| KKN_BLUE vs Devil Jin | 17–23 | 42.50% |
| KKN_BLUE vs Azucena | 9–30 | 23.08% |
| KKN_BLUE vs Victor | 13–23 | 36.11% |
| KKN_BLUE vs Lidia | 14–18 | 43.75% |
| KKN_BLUE vs Eddy | 19–12 | 61.29% |
| KKN_BLUE vs Anna | 14–17 | 45.16% |
| KKN_BLUE vs Xiaoyu | 15–12 | 55.56% |
| KKN_BLUE vs Feng | 8–14 | 36.36% |
| KKN_BLUE vs Nina | 9–12 | 42.86% |
| KKN_BLUE vs Miary Zo | 11–9 | 55.00% |
| KKN_BLUE vs Leo | 8–11 | 42.11% |
| KKN_BLUE vs Claudio | 5–13 | 27.78% |
| KKN_BLUE vs Leroy | 5–12 | 29.41% |
| KKN_BLUE vs Jack-8 | 8–7 | 53.33% |
| KKN_BLUE vs Alisa | 7–5 | 58.33% |
| KKN_BLUE vs Shaheen | 2–10 | 16.67% |
| KKN_BLUE vs Panda | 3–5 | 37.50% |
| KKN_BLUE vs Raven | 2–4 | 33.33% |
| KKN_BLUE vs Zafina | 1–4 | 20.00% |
| KKN_BLUE vs Kuma | 1–2 | 33.33% |
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.