| Nabs vs King | 78–136 | 36.45% |
| Nabs vs Reina | 91–114 | 44.39% |
| Nabs vs Kazuya | 98–103 | 48.76% |
| Nabs vs Hwoarang | 75–105 | 41.67% |
| Nabs vs Jin | 69–95 | 42.07% |
| Nabs vs Law | 71–90 | 44.10% |
| Nabs vs Steve | 58–97 | 37.42% |
| Nabs vs Clive | 64–91 | 41.29% |
| Nabs vs Bryan | 64–61 | 51.20% |
| Nabs vs Dragunov | 54–70 | 43.55% |
| Nabs vs Heihachi | 52–62 | 45.61% |
| Nabs vs Lili | 53–59 | 47.32% |
| Nabs vs Paul | 37–64 | 36.63% |
| Nabs vs Lidia | 45–56 | 44.55% |
| Nabs vs Lars | 39–57 | 40.62% |
| Nabs vs Jun | 34–55 | 38.20% |
| Nabs vs Victor | 37–50 | 42.53% |
| Nabs vs Eddy | 35–50 | 41.18% |
| Nabs vs Azucena | 41–42 | 49.40% |
| Nabs vs Yoshimitsu | 35–46 | 43.21% |
| Nabs vs Xiaoyu | 31–50 | 38.27% |
| Nabs vs Lee | 29–49 | 37.18% |
| Nabs vs Nina | 32–44 | 42.11% |
| Nabs vs Asuka | 28–41 | 40.58% |
| Nabs vs Leroy | 32–29 | 52.46% |
| Nabs vs Alisa | 29–28 | 50.88% |
| Nabs vs Jack-8 | 29–24 | 54.72% |
| Nabs vs Leo | 19–33 | 36.54% |
| Nabs vs Kuma | 15–24 | 38.46% |
| Nabs vs Claudio | 11–25 | 30.56% |
| Nabs vs Raven | 15–16 | 48.39% |
| Nabs vs Devil Jin | 6–22 | 21.43% |
| Nabs vs Zafina | 15–9 | 62.50% |
| Nabs vs Feng | 4–19 | 17.39% |
| Nabs vs Fahkumram | 9–12 | 42.86% |
| Nabs vs Shaheen | 9–8 | 52.94% |
| Nabs vs Anna | 4–3 | 57.14% |
| Nabs vs Panda | 0–6 | 0.00% |
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.