| TqTninja vs King | 40–54 | 42.55% |
| TqTninja vs Kazuya | 50–37 | 57.47% |
| TqTninja vs Bryan | 41–32 | 56.16% |
| TqTninja vs Xiaoyu | 35–30 | 53.85% |
| TqTninja vs Jin | 35–29 | 54.69% |
| TqTninja vs Hwoarang | 35–22 | 61.40% |
| TqTninja vs Lili | 27–28 | 49.09% |
| TqTninja vs Paul | 40–13 | 75.47% |
| TqTninja vs Dragunov | 25–17 | 59.52% |
| TqTninja vs Reina | 22–17 | 56.41% |
| TqTninja vs Heihachi | 19–14 | 57.58% |
| TqTninja vs Yoshimitsu | 16–15 | 51.61% |
| TqTninja vs Jack-8 | 20–10 | 66.67% |
| TqTninja vs Lee | 19–11 | 63.33% |
| TqTninja vs Raven | 20–10 | 66.67% |
| TqTninja vs Steve | 21–8 | 72.41% |
| TqTninja vs Armor King | 15–14 | 51.72% |
| TqTninja vs Law | 14–14 | 50.00% |
| TqTninja vs Zafina | 11–16 | 40.74% |
| TqTninja vs Leo | 11–15 | 42.31% |
| TqTninja vs Claudio | 11–14 | 44.00% |
| TqTninja vs Eddy | 11–14 | 44.00% |
| TqTninja vs Nina | 14–10 | 58.33% |
| TqTninja vs Feng | 13–10 | 56.52% |
| TqTninja vs Victor | 11–12 | 47.83% |
| TqTninja vs Devil Jin | 14–8 | 63.64% |
| TqTninja vs Lidia | 10–12 | 45.45% |
| TqTninja vs Leroy | 8–13 | 38.10% |
| TqTninja vs Kuma | 14–5 | 73.68% |
| TqTninja vs Azucena | 10–8 | 55.56% |
| TqTninja vs Asuka | 10–7 | 58.82% |
| TqTninja vs Shaheen | 9–8 | 52.94% |
| TqTninja vs Lars | 11–4 | 73.33% |
| TqTninja vs Jun | 9–6 | 60.00% |
| TqTninja vs Anna | 3–7 | 30.00% |
| TqTninja vs Alisa | 5–3 | 62.50% |
| TqTninja vs Clive | 6–2 | 75.00% |
| TqTninja vs Panda | 3–4 | 42.86% |
| TqTninja vs Fahkumram | 4–1 | 80.00% |
| TqTninja vs Miary Zo | 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.