| Umbra vs Kazuya | 74–82 | 47.44% |
| Umbra vs Jin | 67–67 | 50.00% |
| Umbra vs Steve | 65–60 | 52.00% |
| Umbra vs Hwoarang | 61–47 | 56.48% |
| Umbra vs Reina | 54–48 | 52.94% |
| Umbra vs Eddy | 46–56 | 45.10% |
| Umbra vs King | 48–51 | 48.48% |
| Umbra vs Bryan | 46–50 | 47.92% |
| Umbra vs Law | 43–43–1 | 50.00% |
| Umbra vs Lili | 41–36 | 53.25% |
| Umbra vs Jun | 42–31 | 57.53% |
| Umbra vs Lee | 35–36 | 49.30% |
| Umbra vs Heihachi | 41–30 | 57.75% |
| Umbra vs Devil Jin | 34–30 | 53.12% |
| Umbra vs Lars | 29–34 | 46.03% |
| Umbra vs Victor | 34–28 | 54.84% |
| Umbra vs Azucena | 26–35 | 42.62% |
| Umbra vs Dragunov | 21–36 | 36.84% |
| Umbra vs Asuka | 27–27 | 50.00% |
| Umbra vs Paul | 23–30 | 43.40% |
| Umbra vs Feng | 18–32 | 36.00% |
| Umbra vs Alisa | 26–22 | 54.17% |
| Umbra vs Yoshimitsu | 27–19 | 58.70% |
| Umbra vs Leroy | 24–18 | 57.14% |
| Umbra vs Raven | 23–18 | 56.10% |
| Umbra vs Xiaoyu | 21–19 | 52.50% |
| Umbra vs Jack-8 | 20–18 | 52.63% |
| Umbra vs Leo | 16–11 | 59.26% |
| Umbra vs Shaheen | 13–14 | 48.15% |
| Umbra vs Nina | 8–15 | 34.78% |
| Umbra vs Zafina | 12–7 | 63.16% |
| Umbra vs Lidia | 7–12 | 36.84% |
| Umbra vs Claudio | 11–7 | 61.11% |
| Umbra vs Fahkumram | 10–8 | 55.56% |
| Umbra vs Kuma | 9–8 | 52.94% |
| Umbra vs Clive | 10–3 | 76.92% |
| Umbra vs Panda | 5–6 | 45.45% |
| Umbra vs Anna | 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.