| Dylanln vs King | 172–182 | 48.59% |
| Dylanln vs Kazuya | 141–212 | 39.94% |
| Dylanln vs Armor King | 151–155 | 49.35% |
| Dylanln vs Bryan | 132–173 | 43.28% |
| Dylanln vs Jin | 132–150 | 46.81% |
| Dylanln vs Reina | 131–122 | 51.78% |
| Dylanln vs Steve | 102–144 | 41.46% |
| Dylanln vs Heihachi | 123–113 | 52.12% |
| Dylanln vs Dragunov | 91–125 | 42.13% |
| Dylanln vs Law | 89–125 | 41.59% |
| Dylanln vs Hwoarang | 89–99 | 47.34% |
| Dylanln vs Lili | 70–84 | 45.45% |
| Dylanln vs Paul | 69–84 | 45.10% |
| Dylanln vs Jun | 61–89 | 40.67% |
| Dylanln vs Azucena | 55–86 | 39.01% |
| Dylanln vs Lee | 55–79 | 41.04% |
| Dylanln vs Fahkumram | 51–83 | 38.06% |
| Dylanln vs Eddy | 51–71 | 41.80% |
| Dylanln vs Yoshimitsu | 52–69 | 42.98% |
| Dylanln vs Asuka | 44–71 | 38.26% |
| Dylanln vs Lars | 43–71 | 37.72% |
| Dylanln vs Victor | 34–72 | 32.08% |
| Dylanln vs Anna | 36–61 | 37.11% |
| Dylanln vs Nina | 41–48 | 46.07% |
| Dylanln vs Devil Jin | 34–54 | 38.64% |
| Dylanln vs Xiaoyu | 29–58 | 33.33% |
| Dylanln vs Miary Zo | 40–43 | 48.19% |
| Dylanln vs Raven | 41–41 | 50.00% |
| Dylanln vs Jack-8 | 24–53 | 31.17% |
| Dylanln vs Clive | 32–43 | 42.67% |
| Dylanln vs Feng | 39–32 | 54.93% |
| Dylanln vs Leo | 30–41 | 42.25% |
| Dylanln vs Alisa | 31–37 | 45.59% |
| Dylanln vs Lidia | 30–37 | 44.78% |
| Dylanln vs Claudio | 24–37 | 39.34% |
| Dylanln vs Leroy | 24–37 | 39.34% |
| Dylanln vs Kuma | 18–34 | 34.62% |
| Dylanln vs Zafina | 16–21 | 43.24% |
| Dylanln vs Shaheen | 12–18 | 40.00% |
| Dylanln vs Panda | 1–9 | 10.00% |
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.