| UT-Shadow vs King | 116–122 | 48.74% |
| UT-Shadow vs Kazuya | 120–88 | 57.69% |
| UT-Shadow vs Bryan | 103–93 | 52.55% |
| UT-Shadow vs Hwoarang | 65–93 | 41.14% |
| UT-Shadow vs Jin | 69–85 | 44.81% |
| UT-Shadow vs Steve | 65–76 | 46.10% |
| UT-Shadow vs Law | 59–78 | 43.07% |
| UT-Shadow vs Heihachi | 74–61 | 54.81% |
| UT-Shadow vs Yoshimitsu | 67–65 | 50.76% |
| UT-Shadow vs Reina | 61–60 | 50.41% |
| UT-Shadow vs Lee | 52–62 | 45.61% |
| UT-Shadow vs Azucena | 58–50 | 53.70% |
| UT-Shadow vs Lili | 39–68 | 36.45% |
| UT-Shadow vs Dragunov | 59–45–1 | 56.73% |
| UT-Shadow vs Paul | 60–43 | 58.25% |
| UT-Shadow vs Lars | 50–50 | 50.00% |
| UT-Shadow vs Armor King | 45–53 | 45.92% |
| UT-Shadow vs Xiaoyu | 46–43 | 51.69% |
| UT-Shadow vs Fahkumram | 41–47 | 46.59% |
| UT-Shadow vs Jun | 42–42 | 50.00% |
| UT-Shadow vs Asuka | 42–31 | 57.53% |
| UT-Shadow vs Nina | 35–34 | 50.72% |
| UT-Shadow vs Feng | 37–30 | 55.22% |
| UT-Shadow vs Devil Jin | 30–36 | 45.45% |
| UT-Shadow vs Clive | 22–40 | 35.48% |
| UT-Shadow vs Raven | 27–30 | 47.37% |
| UT-Shadow vs Leroy | 27–29 | 48.21% |
| UT-Shadow vs Victor | 26–30 | 46.43% |
| UT-Shadow vs Eddy | 24–32 | 42.86% |
| UT-Shadow vs Alisa | 25–30 | 45.45% |
| UT-Shadow vs Claudio | 31–20 | 60.78% |
| UT-Shadow vs Lidia | 24–25 | 48.98% |
| UT-Shadow vs Leo | 21–25 | 45.65% |
| UT-Shadow vs Jack-8 | 20–24 | 45.45% |
| UT-Shadow vs Anna | 19–18 | 51.35% |
| UT-Shadow vs Kuma | 10–20 | 33.33% |
| UT-Shadow vs Miary Zo | 7–22 | 24.14% |
| UT-Shadow vs Zafina | 10–15 | 40.00% |
| UT-Shadow vs Shaheen | 9–15 | 37.50% |
| UT-Shadow vs Panda | 7–2 | 77.78% |
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.