| Ytterby vs Jin | 94–139 | 40.34% |
| Ytterby vs Kazuya | 123–110 | 52.79% |
| Ytterby vs Dragunov | 58–103 | 36.02% |
| Ytterby vs Steve | 67–82 | 44.97% |
| Ytterby vs Bryan | 53–93 | 36.30% |
| Ytterby vs Lili | 52–93–1 | 35.86% |
| Ytterby vs Hwoarang | 49–86 | 36.30% |
| Ytterby vs Reina | 56–77 | 42.11% |
| Ytterby vs Paul | 38–72 | 34.55% |
| Ytterby vs King | 45–64 | 41.28% |
| Ytterby vs Yoshimitsu | 37–64 | 36.63% |
| Ytterby vs Law | 40–57 | 41.24% |
| Ytterby vs Jun | 48–36 | 57.14% |
| Ytterby vs Asuka | 26–54 | 32.50% |
| Ytterby vs Heihachi | 23–48 | 32.39% |
| Ytterby vs Armor King | 27–41 | 39.71% |
| Ytterby vs Lars | 18–43 | 29.51% |
| Ytterby vs Azucena | 25–34 | 42.37% |
| Ytterby vs Victor | 28–29 | 49.12% |
| Ytterby vs Fahkumram | 19–38 | 33.33% |
| Ytterby vs Alisa | 19–36 | 34.55% |
| Ytterby vs Lee | 20–35 | 36.36% |
| Ytterby vs Claudio | 19–35 | 35.19% |
| Ytterby vs Devil Jin | 22–28 | 44.00% |
| Ytterby vs Eddy | 23–23 | 50.00% |
| Ytterby vs Leo | 18–22 | 45.00% |
| Ytterby vs Lidia | 12–26 | 31.58% |
| Ytterby vs Anna | 18–19 | 48.65% |
| Ytterby vs Leroy | 15–19 | 44.12% |
| Ytterby vs Xiaoyu | 8–25 | 24.24% |
| Ytterby vs Feng | 12–20 | 37.50% |
| Ytterby vs Miary Zo | 9–20 | 31.03% |
| Ytterby vs Kuma | 11–17 | 39.29% |
| Ytterby vs Shaheen | 11–16 | 40.74% |
| Ytterby vs Raven | 11–13 | 45.83% |
| Ytterby vs Nina | 9–14 | 39.13% |
| Ytterby vs Zafina | 11–12 | 47.83% |
| Ytterby vs Jack-8 | 6–15 | 28.57% |
| Ytterby vs Clive | 11–9 | 55.00% |
| Ytterby vs Panda | 9–5 | 64.29% |
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.