| nigIet09tiktok vs King | 32–11 | 74.42% |
| nigIet09tiktok vs Bryan | 32–10 | 76.19% |
| nigIet09tiktok vs Kazuya | 23–11 | 67.65% |
| nigIet09tiktok vs Jin | 18–11 | 62.07% |
| nigIet09tiktok vs Feng | 21–7 | 75.00% |
| nigIet09tiktok vs Paul | 18–8 | 69.23% |
| nigIet09tiktok vs Dragunov | 20–5 | 80.00% |
| nigIet09tiktok vs Hwoarang | 17–7 | 70.83% |
| nigIet09tiktok vs Law | 16–7 | 69.57% |
| nigIet09tiktok vs Steve | 17–2 | 89.47% |
| nigIet09tiktok vs Reina | 14–5 | 73.68% |
| nigIet09tiktok vs Devil Jin | 13–5 | 72.22% |
| nigIet09tiktok vs Asuka | 8–8 | 50.00% |
| nigIet09tiktok vs Eddy | 10–6 | 62.50% |
| nigIet09tiktok vs Yoshimitsu | 12–3 | 80.00% |
| nigIet09tiktok vs Lars | 13–2 | 86.67% |
| nigIet09tiktok vs Nina | 9–6 | 60.00% |
| nigIet09tiktok vs Lee | 8–5 | 61.54% |
| nigIet09tiktok vs Azucena | 6–5 | 54.55% |
| nigIet09tiktok vs Kuma | 3–7 | 30.00% |
| nigIet09tiktok vs Jun | 8–1 | 88.89% |
| nigIet09tiktok vs Xiaoyu | 7–1 | 87.50% |
| nigIet09tiktok vs Zafina | 5–3 | 62.50% |
| nigIet09tiktok vs Victor | 6–2 | 75.00% |
| nigIet09tiktok vs Lili | 4–3 | 57.14% |
| nigIet09tiktok vs Leroy | 5–2 | 71.43% |
| nigIet09tiktok vs Leo | 3–3 | 50.00% |
| nigIet09tiktok vs Raven | 4–2 | 66.67% |
| nigIet09tiktok vs Claudio | 2–3 | 40.00% |
| nigIet09tiktok vs Alisa | 3–1 | 75.00% |
| nigIet09tiktok vs Shaheen | 1–3 | 25.00% |
| nigIet09tiktok vs Jack-8 | 1–2 | 33.33% |
| nigIet09tiktok vs Clive | 1–2 | 33.33% |
| nigIet09tiktok vs Heihachi | 2–0 | 100.00% |
| nigIet09tiktok vs Armor King | 2–0 | 100.00% |
| nigIet09tiktok vs Lidia | 0–1 | 0.00% |
| nigIet09tiktok vs Fahkumram | 1–0 | 100.00% |
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.