| TIJSNL vs Jin | 30–50 | 37.50% |
| TIJSNL vs King | 40–34 | 54.05% |
| TIJSNL vs Hwoarang | 38–24 | 61.29% |
| TIJSNL vs Kazuya | 25–31 | 44.64% |
| TIJSNL vs Bryan | 36–19 | 65.45% |
| TIJSNL vs Law | 33–20 | 62.26% |
| TIJSNL vs Dragunov | 22–26 | 45.83% |
| TIJSNL vs Yoshimitsu | 19–25 | 43.18% |
| TIJSNL vs Eddy | 25–19 | 56.82% |
| TIJSNL vs Paul | 20–23 | 46.51% |
| TIJSNL vs Lee | 20–23 | 46.51% |
| TIJSNL vs Steve | 25–17 | 59.52% |
| TIJSNL vs Reina | 19–18 | 51.35% |
| TIJSNL vs Devil Jin | 9–22 | 29.03% |
| TIJSNL vs Lars | 18–13 | 58.06% |
| TIJSNL vs Alisa | 16–14 | 53.33% |
| TIJSNL vs Jun | 19–11 | 63.33% |
| TIJSNL vs Asuka | 23–2 | 92.00% |
| TIJSNL vs Lili | 9–14 | 39.13% |
| TIJSNL vs Feng | 12–10 | 54.55% |
| TIJSNL vs Xiaoyu | 13–7 | 65.00% |
| TIJSNL vs Nina | 7–13 | 35.00% |
| TIJSNL vs Kuma | 14–5 | 73.68% |
| TIJSNL vs Victor | 11–8 | 57.89% |
| TIJSNL vs Azucena | 8–10 | 44.44% |
| TIJSNL vs Raven | 10–5 | 66.67% |
| TIJSNL vs Claudio | 4–10 | 28.57% |
| TIJSNL vs Lidia | 8–5 | 61.54% |
| TIJSNL vs Jack-8 | 7–4 | 63.64% |
| TIJSNL vs Leroy | 8–3 | 72.73% |
| TIJSNL vs Leo | 1–7 | 12.50% |
| TIJSNL vs Heihachi | 5–2 | 71.43% |
| TIJSNL vs Shaheen | 3–3 | 50.00% |
| TIJSNL vs Zafina | 1–3 | 25.00% |
| TIJSNL vs Clive | 3–1 | 75.00% |
| TIJSNL vs Panda | 1–2 | 33.33% |
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.