| IKuIKuz vs Jin | 238–241 | 49.69% |
| IKuIKuz vs Kazuya | 202–187 | 51.93% |
| IKuIKuz vs Bryan | 164–161 | 50.46% |
| IKuIKuz vs King | 162–159 | 50.47% |
| IKuIKuz vs Law | 144–175 | 45.14% |
| IKuIKuz vs Dragunov | 154–160 | 49.04% |
| IKuIKuz vs Lili | 118–132 | 47.20% |
| IKuIKuz vs Hwoarang | 110–132 | 45.45% |
| IKuIKuz vs Steve | 123–99 | 55.41% |
| IKuIKuz vs Reina | 101–102 | 49.75% |
| IKuIKuz vs Paul | 105–91 | 53.57% |
| IKuIKuz vs Lee | 80–103 | 43.72% |
| IKuIKuz vs Yoshimitsu | 77–95 | 44.77% |
| IKuIKuz vs Xiaoyu | 83–78 | 51.55% |
| IKuIKuz vs Victor | 72–87 | 45.28% |
| IKuIKuz vs Devil Jin | 69–80 | 46.31% |
| IKuIKuz vs Azucena | 62–78 | 44.29% |
| IKuIKuz vs Heihachi | 53–85 | 38.41% |
| IKuIKuz vs Lars | 69–68 | 50.36% |
| IKuIKuz vs Nina | 64–69 | 48.12% |
| IKuIKuz vs Asuka | 58–71 | 44.96% |
| IKuIKuz vs Jun | 57–69 | 45.24% |
| IKuIKuz vs Clive | 41–73 | 35.96% |
| IKuIKuz vs Armor King | 50–62 | 44.64% |
| IKuIKuz vs Alisa | 48–61 | 44.04% |
| IKuIKuz vs Leroy | 51–57 | 47.22% |
| IKuIKuz vs Eddy | 33–72 | 31.43% |
| IKuIKuz vs Feng | 42–59 | 41.58% |
| IKuIKuz vs Leo | 44–53 | 45.36% |
| IKuIKuz vs Fahkumram | 43–54 | 44.33% |
| IKuIKuz vs Lidia | 38–54 | 41.30% |
| IKuIKuz vs Shaheen | 35–56 | 38.46% |
| IKuIKuz vs Raven | 35–49 | 41.67% |
| IKuIKuz vs Claudio | 32–44 | 42.11% |
| IKuIKuz vs Anna | 31–38 | 44.93% |
| IKuIKuz vs Miary Zo | 37–29 | 56.06% |
| IKuIKuz vs Jack-8 | 32–33 | 49.23% |
| IKuIKuz vs Zafina | 22–34 | 39.29% |
| IKuIKuz vs Kuma | 20–27 | 42.55% |
| IKuIKuz vs Panda | 8–8 | 50.00% |
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.