| Ntgmlp69 vs Armor King | 81–50 | 61.83% |
| Ntgmlp69 vs Jin | 52–44 | 54.17% |
| Ntgmlp69 vs Hwoarang | 39–48 | 44.83% |
| Ntgmlp69 vs Bryan | 40–47 | 45.98% |
| Ntgmlp69 vs Steve | 37–50 | 42.53% |
| Ntgmlp69 vs Kazuya | 44–32 | 57.89% |
| Ntgmlp69 vs Law | 28–44 | 38.89% |
| Ntgmlp69 vs King | 28–32 | 46.67% |
| Ntgmlp69 vs Paul | 38–19 | 66.67% |
| Ntgmlp69 vs Dragunov | 26–31 | 45.61% |
| Ntgmlp69 vs Reina | 30–26 | 53.57% |
| Ntgmlp69 vs Heihachi | 24–28 | 46.15% |
| Ntgmlp69 vs Fahkumram | 22–28 | 44.00% |
| Ntgmlp69 vs Devil Jin | 24–23 | 51.06% |
| Ntgmlp69 vs Yoshimitsu | 24–22 | 52.17% |
| Ntgmlp69 vs Asuka | 18–23 | 43.90% |
| Ntgmlp69 vs Lars | 20–16 | 55.56% |
| Ntgmlp69 vs Xiaoyu | 14–21 | 40.00% |
| Ntgmlp69 vs Feng | 16–17 | 48.48% |
| Ntgmlp69 vs Miary Zo | 21–11 | 65.62% |
| Ntgmlp69 vs Lee | 18–12 | 60.00% |
| Ntgmlp69 vs Lili | 18–11 | 62.07% |
| Ntgmlp69 vs Leroy | 15–14 | 51.72% |
| Ntgmlp69 vs Jun | 12–17 | 41.38% |
| Ntgmlp69 vs Anna | 14–11 | 56.00% |
| Ntgmlp69 vs Nina | 10–14 | 41.67% |
| Ntgmlp69 vs Lidia | 11–13 | 45.83% |
| Ntgmlp69 vs Azucena | 12–10 | 54.55% |
| Ntgmlp69 vs Victor | 10–11 | 47.62% |
| Ntgmlp69 vs Eddy | 10–9 | 52.63% |
| Ntgmlp69 vs Jack-8 | 8–9 | 47.06% |
| Ntgmlp69 vs Leo | 10–7 | 58.82% |
| Ntgmlp69 vs Zafina | 11–6 | 64.71% |
| Ntgmlp69 vs Claudio | 7–7 | 50.00% |
| Ntgmlp69 vs Alisa | 7–5 | 58.33% |
| Ntgmlp69 vs Clive | 7–5 | 58.33% |
| Ntgmlp69 vs Raven | 6–4 | 60.00% |
| Ntgmlp69 vs Panda | 4–4 | 50.00% |
| Ntgmlp69 vs Kuma | 2–4 | 33.33% |
| Ntgmlp69 vs Shaheen | 0–2 | 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.