| NSbish vs Kazuya | 527–388 | 57.60% |
| NSbish vs Jin | 496–396 | 55.61% |
| NSbish vs Bryan | 408–334 | 54.99% |
| NSbish vs King | 370–273 | 57.54% |
| NSbish vs Hwoarang | 330–299 | 52.46% |
| NSbish vs Dragunov | 329–259 | 55.95% |
| NSbish vs Lee | 249–246 | 50.30% |
| NSbish vs Steve | 250–231 | 51.98% |
| NSbish vs Reina | 258–214 | 54.66% |
| NSbish vs Heihachi | 253–213 | 54.29% |
| NSbish vs Yoshimitsu | 226–221 | 50.56% |
| NSbish vs Paul | 252–189 | 57.14% |
| NSbish vs Devil Jin | 226–202 | 52.80% |
| NSbish vs Feng | 230–187 | 55.16% |
| NSbish vs Lili | 214–194 | 52.45% |
| NSbish vs Law | 209–153 | 57.73% |
| NSbish vs Lars | 168–184 | 47.73% |
| NSbish vs Alisa | 150–168 | 47.17% |
| NSbish vs Asuka | 152–151 | 50.17% |
| NSbish vs Nina | 132–168 | 44.00% |
| NSbish vs Claudio | 158–133 | 54.30% |
| NSbish vs Raven | 135–123 | 52.33% |
| NSbish vs Leo | 140–112 | 55.56% |
| NSbish vs Zafina | 93–157 | 37.20% |
| NSbish vs Jack-8 | 111–133 | 45.49% |
| NSbish vs Azucena | 93–143 | 39.41% |
| NSbish vs Victor | 74–144 | 33.94% |
| NSbish vs Eddy | 102–113 | 47.44% |
| NSbish vs Xiaoyu | 82–124 | 39.81% |
| NSbish vs Anna | 95–109 | 46.57% |
| NSbish vs Jun | 92–110 | 45.54% |
| NSbish vs Lidia | 99–103 | 49.01% |
| NSbish vs Shaheen | 78–105 | 42.62% |
| NSbish vs Armor King | 102–81 | 55.74% |
| NSbish vs Leroy | 99–81 | 55.00% |
| NSbish vs Clive | 63–116 | 35.20% |
| NSbish vs Kuma | 59–92 | 39.07% |
| NSbish vs Fahkumram | 47–70 | 40.17% |
| NSbish vs Panda | 35–58 | 37.63% |
| NSbish vs Miary Zo | 26–38 | 40.62% |
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.