| ikennyng vs King | 36–94 | 27.69% |
| ikennyng vs Steve | 26–85 | 23.42% |
| ikennyng vs Jin | 20–70 | 22.22% |
| ikennyng vs Reina | 19–66 | 22.35% |
| ikennyng vs Hwoarang | 23–59 | 28.05% |
| ikennyng vs Kazuya | 10–55 | 15.38% |
| ikennyng vs Bryan | 12–51 | 19.05% |
| ikennyng vs Law | 12–50 | 19.35% |
| ikennyng vs Clive | 17–45 | 27.42% |
| ikennyng vs Azucena | 15–46 | 24.59% |
| ikennyng vs Yoshimitsu | 17–34–1 | 33.33% |
| ikennyng vs Dragunov | 10–39–1 | 20.41% |
| ikennyng vs Lili | 9–39 | 18.75% |
| ikennyng vs Eddy | 10–37 | 21.28% |
| ikennyng vs Asuka | 7–39 | 15.22% |
| ikennyng vs Jun | 6–39–1 | 13.33% |
| ikennyng vs Victor | 9–37 | 19.57% |
| ikennyng vs Lee | 4–39 | 9.30% |
| ikennyng vs Lars | 8–33 | 19.51% |
| ikennyng vs Fahkumram | 4–35 | 10.26% |
| ikennyng vs Heihachi | 5–33 | 13.16% |
| ikennyng vs Leo | 7–30 | 18.92% |
| ikennyng vs Xiaoyu | 13–23 | 36.11% |
| ikennyng vs Nina | 8–27 | 22.86% |
| ikennyng vs Lidia | 8–26 | 23.53% |
| ikennyng vs Paul | 11–19–1 | 36.67% |
| ikennyng vs Armor King | 3–27 | 10.00% |
| ikennyng vs Leroy | 7–22 | 24.14% |
| ikennyng vs Zafina | 10–18 | 35.71% |
| ikennyng vs Anna | 7–20 | 25.93% |
| ikennyng vs Alisa | 6–19 | 24.00% |
| ikennyng vs Raven | 2–23 | 8.00% |
| ikennyng vs Devil Jin | 7–16–1 | 30.43% |
| ikennyng vs Jack-8 | 2–21 | 8.70% |
| ikennyng vs Feng | 5–16 | 23.81% |
| ikennyng vs Shaheen | 5–14 | 26.32% |
| ikennyng vs Claudio | 1–16 | 5.88% |
| ikennyng vs Kuma | 1–13 | 7.14% |
| ikennyng vs Miary Zo | 4–9 | 30.77% |
| ikennyng vs Panda | 1–7 | 12.50% |
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.