| TNXM vs Kazuya | 85–121 | 41.26% |
| TNXM vs Jin | 110–94 | 53.92% |
| TNXM vs King | 93–98 | 48.69% |
| TNXM vs Bryan | 56–99 | 36.13% |
| TNXM vs Steve | 66–80 | 45.21% |
| TNXM vs Armor King | 48–69 | 41.03% |
| TNXM vs Law | 54–60 | 47.37% |
| TNXM vs Dragunov | 40–57 | 41.24% |
| TNXM vs Heihachi | 30–55 | 35.29% |
| TNXM vs Paul | 23–47 | 32.86% |
| TNXM vs Clive | 30–36 | 45.45% |
| TNXM vs Hwoarang | 28–37 | 43.08% |
| TNXM vs Reina | 27–35 | 43.55% |
| TNXM vs Devil Jin | 27–31 | 46.55% |
| TNXM vs Victor | 21–29 | 42.00% |
| TNXM vs Fahkumram | 29–20 | 59.18% |
| TNXM vs Nina | 18–29 | 38.30% |
| TNXM vs Eddy | 16–29 | 35.56% |
| TNXM vs Asuka | 16–26 | 38.10% |
| TNXM vs Lee | 14–28 | 33.33% |
| TNXM vs Lili | 15–25 | 37.50% |
| TNXM vs Anna | 17–22 | 43.59% |
| TNXM vs Azucena | 19–18 | 51.35% |
| TNXM vs Yoshimitsu | 11–25 | 30.56% |
| TNXM vs Jun | 9–13 | 40.91% |
| TNXM vs Feng | 5–16 | 23.81% |
| TNXM vs Miary Zo | 9–12 | 42.86% |
| TNXM vs Alisa | 7–13 | 35.00% |
| TNXM vs Lidia | 7–12 | 36.84% |
| TNXM vs Jack-8 | 4–12 | 25.00% |
| TNXM vs Claudio | 10–6 | 62.50% |
| TNXM vs Xiaoyu | 10–5 | 66.67% |
| TNXM vs Leo | 6–9 | 40.00% |
| TNXM vs Lars | 6–9 | 40.00% |
| TNXM vs Leroy | 4–11 | 26.67% |
| TNXM vs Raven | 3–10 | 23.08% |
| TNXM vs Shaheen | 6–4 | 60.00% |
| TNXM vs Zafina | 1–6 | 14.29% |
| TNXM vs Panda | 1–4 | 20.00% |
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.