| NMF TRINI vs King | 310–322 | 49.05% |
| NMF TRINI vs Jin | 248–323 | 43.43% |
| NMF TRINI vs Kazuya | 227–316 | 41.80% |
| NMF TRINI vs Hwoarang | 258–259 | 49.90% |
| NMF TRINI vs Bryan | 239–252 | 48.68% |
| NMF TRINI vs Law | 219–245 | 47.20% |
| NMF TRINI vs Steve | 234–189 | 55.32% |
| NMF TRINI vs Yoshimitsu | 189–223 | 45.87% |
| NMF TRINI vs Reina | 192–197 | 49.36% |
| NMF TRINI vs Paul | 137–183 | 42.81% |
| NMF TRINI vs Lars | 147–165 | 47.12% |
| NMF TRINI vs Dragunov | 148–155 | 48.84% |
| NMF TRINI vs Azucena | 100–142 | 41.32% |
| NMF TRINI vs Lidia | 111–126 | 46.84% |
| NMF TRINI vs Eddy | 125–110 | 53.19% |
| NMF TRINI vs Lee | 98–122 | 44.55% |
| NMF TRINI vs Lili | 90–121 | 42.65% |
| NMF TRINI vs Leo | 92–119 | 43.60% |
| NMF TRINI vs Nina | 88–112 | 44.00% |
| NMF TRINI vs Asuka | 99–97 | 50.51% |
| NMF TRINI vs Victor | 67–127 | 34.54% |
| NMF TRINI vs Heihachi | 80–109 | 42.33% |
| NMF TRINI vs Raven | 97–90 | 51.87% |
| NMF TRINI vs Armor King | 77–109 | 41.40% |
| NMF TRINI vs Feng | 94–88 | 51.65% |
| NMF TRINI vs Xiaoyu | 84–97 | 46.41% |
| NMF TRINI vs Alisa | 94–83 | 53.11% |
| NMF TRINI vs Jun | 77–87 | 46.95% |
| NMF TRINI vs Leroy | 86–72 | 54.43% |
| NMF TRINI vs Devil Jin | 57–93 | 38.00% |
| NMF TRINI vs Kuma | 54–85 | 38.85% |
| NMF TRINI vs Jack-8 | 60–58 | 50.85% |
| NMF TRINI vs Zafina | 43–52 | 45.26% |
| NMF TRINI vs Shaheen | 34–59 | 36.56% |
| NMF TRINI vs Claudio | 30–61 | 32.97% |
| NMF TRINI vs Fahkumram | 45–44 | 50.56% |
| NMF TRINI vs Clive | 43–38 | 53.09% |
| NMF TRINI vs Anna | 26–27 | 49.06% |
| NMF TRINI vs Miary Zo | 17–10 | 62.96% |
| NMF TRINI vs Panda | 12–10 | 54.55% |
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.