| Y0LAND0 vs Kazuya | 77–70 | 52.38% |
| Y0LAND0 vs King | 82–59 | 58.16% |
| Y0LAND0 vs Jin | 66–71 | 48.18% |
| Y0LAND0 vs Hwoarang | 67–69 | 49.26% |
| Y0LAND0 vs Bryan | 48–66 | 42.11% |
| Y0LAND0 vs Reina | 73–33 | 68.87% |
| Y0LAND0 vs Steve | 41–44 | 48.24% |
| Y0LAND0 vs Yoshimitsu | 46–33 | 58.23% |
| Y0LAND0 vs Heihachi | 31–41 | 43.06% |
| Y0LAND0 vs Lili | 40–30 | 57.14% |
| Y0LAND0 vs Law | 33–31 | 51.56% |
| Y0LAND0 vs Dragunov | 30–34 | 46.88% |
| Y0LAND0 vs Jun | 35–20 | 63.64% |
| Y0LAND0 vs Eddy | 27–28 | 49.09% |
| Y0LAND0 vs Paul | 26–26 | 50.00% |
| Y0LAND0 vs Jack-8 | 23–27 | 46.00% |
| Y0LAND0 vs Asuka | 20–30 | 40.00% |
| Y0LAND0 vs Alisa | 19–29 | 39.58% |
| Y0LAND0 vs Lee | 16–32 | 33.33% |
| Y0LAND0 vs Lars | 21–22 | 48.84% |
| Y0LAND0 vs Leo | 26–16 | 61.90% |
| Y0LAND0 vs Azucena | 20–20 | 50.00% |
| Y0LAND0 vs Devil Jin | 14–20 | 41.18% |
| Y0LAND0 vs Clive | 15–17 | 46.88% |
| Y0LAND0 vs Xiaoyu | 24–7 | 77.42% |
| Y0LAND0 vs Raven | 16–15 | 51.61% |
| Y0LAND0 vs Lidia | 14–15 | 48.28% |
| Y0LAND0 vs Victor | 17–11 | 60.71% |
| Y0LAND0 vs Feng | 11–16 | 40.74% |
| Y0LAND0 vs Kuma | 10–16 | 38.46% |
| Y0LAND0 vs Claudio | 9–16 | 36.00% |
| Y0LAND0 vs Nina | 11–14 | 44.00% |
| Y0LAND0 vs Leroy | 14–8 | 63.64% |
| Y0LAND0 vs Zafina | 7–7 | 50.00% |
| Y0LAND0 vs Panda | 4–8 | 33.33% |
| Y0LAND0 vs Shaheen | 8–3 | 72.73% |
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.