| GNARLYYY vs King | 151–166 | 47.63% |
| GNARLYYY vs Jin | 153–159 | 49.04% |
| GNARLYYY vs Dragunov | 164–148 | 52.56% |
| GNARLYYY vs Bryan | 137–162 | 45.82% |
| GNARLYYY vs Hwoarang | 120–173 | 40.96% |
| GNARLYYY vs Kazuya | 117–127 | 47.95% |
| GNARLYYY vs Yoshimitsu | 155–80 | 65.96% |
| GNARLYYY vs Lili | 114–116 | 49.57% |
| GNARLYYY vs Reina | 124–99 | 55.61% |
| GNARLYYY vs Lars | 104–105 | 49.76% |
| GNARLYYY vs Steve | 88–120 | 42.31% |
| GNARLYYY vs Devil Jin | 90–108 | 45.45% |
| GNARLYYY vs Law | 104–89 | 53.89% |
| GNARLYYY vs Victor | 104–72 | 59.09% |
| GNARLYYY vs Asuka | 93–81 | 53.45% |
| GNARLYYY vs Paul | 75–98 | 43.35% |
| GNARLYYY vs Lee | 78–92 | 45.88% |
| GNARLYYY vs Jun | 74–86 | 46.25% |
| GNARLYYY vs Feng | 77–79 | 49.36% |
| GNARLYYY vs Alisa | 83–73 | 53.21% |
| GNARLYYY vs Xiaoyu | 80–75 | 51.61% |
| GNARLYYY vs Leo | 72–70 | 50.70% |
| GNARLYYY vs Azucena | 76–66 | 53.52% |
| GNARLYYY vs Heihachi | 77–65 | 54.23% |
| GNARLYYY vs Nina | 63–72 | 46.67% |
| GNARLYYY vs Shaheen | 60–68 | 46.88% |
| GNARLYYY vs Eddy | 66–61 | 51.97% |
| GNARLYYY vs Jack-8 | 65–59 | 52.42% |
| GNARLYYY vs Kuma | 56–58 | 49.12% |
| GNARLYYY vs Lidia | 42–54 | 43.75% |
| GNARLYYY vs Claudio | 44–48 | 47.83% |
| GNARLYYY vs Zafina | 53–37 | 58.89% |
| GNARLYYY vs Leroy | 35–53 | 39.77% |
| GNARLYYY vs Raven | 40–43 | 48.19% |
| GNARLYYY vs Anna | 31–23 | 57.41% |
| GNARLYYY vs Panda | 30–22 | 57.69% |
| GNARLYYY vs Fahkumram | 12–11 | 52.17% |
| GNARLYYY vs Clive | 5–12 | 29.41% |
| GNARLYYY vs Armor King | 1–1 | 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.