| Neowolf vs King | 159–182 | 46.63% |
| Neowolf vs Kazuya | 149–180 | 45.29% |
| Neowolf vs Armor King | 152–164 | 48.10% |
| Neowolf vs Bryan | 150–137 | 52.26% |
| Neowolf vs Jin | 144–131 | 52.36% |
| Neowolf vs Law | 115–156 | 42.44% |
| Neowolf vs Steve | 117–140 | 45.53% |
| Neowolf vs Reina | 100–127 | 44.05% |
| Neowolf vs Heihachi | 99–114 | 46.48% |
| Neowolf vs Fahkumram | 102–110 | 48.11% |
| Neowolf vs Hwoarang | 90–111 | 44.78% |
| Neowolf vs Lili | 77–97 | 44.25% |
| Neowolf vs Paul | 79–92 | 46.20% |
| Neowolf vs Azucena | 69–100 | 40.83% |
| Neowolf vs Dragunov | 74–89 | 45.40% |
| Neowolf vs Asuka | 84–77 | 52.17% |
| Neowolf vs Lee | 69–91 | 43.12% |
| Neowolf vs Lars | 97–56 | 63.40% |
| Neowolf vs Yoshimitsu | 77–73 | 51.33% |
| Neowolf vs Eddy | 48–81 | 37.21% |
| Neowolf vs Xiaoyu | 50–78 | 39.06% |
| Neowolf vs Jun | 50–75 | 40.00% |
| Neowolf vs Victor | 63–51 | 55.26% |
| Neowolf vs Feng | 43–68 | 38.74% |
| Neowolf vs Anna | 50–61 | 45.05% |
| Neowolf vs Lidia | 54–56 | 49.09% |
| Neowolf vs Clive | 56–52 | 51.85% |
| Neowolf vs Raven | 36–52 | 40.91% |
| Neowolf vs Leo | 41–40 | 50.62% |
| Neowolf vs Nina | 43–37 | 53.75% |
| Neowolf vs Kuma | 38–41 | 48.10% |
| Neowolf vs Devil Jin | 22–56 | 28.21% |
| Neowolf vs Leroy | 33–45 | 42.31% |
| Neowolf vs Jack-8 | 37–32 | 53.62% |
| Neowolf vs Zafina | 25–28 | 47.17% |
| Neowolf vs Alisa | 20–31 | 39.22% |
| Neowolf vs Miary Zo | 20–24 | 45.45% |
| Neowolf vs Shaheen | 12–21 | 36.36% |
| Neowolf vs Claudio | 11–15 | 42.31% |
| Neowolf vs Panda | 6–11 | 35.29% |
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.