| NAIF vs Kazuya | 35–20 | 63.64% |
| NAIF vs King | 20–31 | 39.22% |
| NAIF vs Jin | 29–19 | 60.42% |
| NAIF vs Dragunov | 25–21 | 54.35% |
| NAIF vs Bryan | 13–29 | 30.95% |
| NAIF vs Steve | 21–18 | 53.85% |
| NAIF vs Victor | 19–17 | 52.78% |
| NAIF vs Hwoarang | 17–14 | 54.84% |
| NAIF vs Lili | 14–16 | 46.67% |
| NAIF vs Reina | 17–12 | 58.62% |
| NAIF vs Law | 11–13 | 45.83% |
| NAIF vs Heihachi | 10–14 | 41.67% |
| NAIF vs Devil Jin | 10–10 | 50.00% |
| NAIF vs Feng | 7–12 | 36.84% |
| NAIF vs Lars | 9–8 | 52.94% |
| NAIF vs Eddy | 9–8 | 52.94% |
| NAIF vs Fahkumram | 10–7 | 58.82% |
| NAIF vs Xiaoyu | 10–6 | 62.50% |
| NAIF vs Alisa | 7–8 | 46.67% |
| NAIF vs Nina | 9–5 | 64.29% |
| NAIF vs Asuka | 5–8 | 38.46% |
| NAIF vs Jun | 3–9 | 25.00% |
| NAIF vs Paul | 6–5 | 54.55% |
| NAIF vs Claudio | 3–8 | 27.27% |
| NAIF vs Clive | 5–5 | 50.00% |
| NAIF vs Yoshimitsu | 4–5 | 44.44% |
| NAIF vs Lee | 3–4 | 42.86% |
| NAIF vs Leroy | 4–3 | 57.14% |
| NAIF vs Azucena | 6–1 | 85.71% |
| NAIF vs Anna | 3–3 | 50.00% |
| NAIF vs Jack-8 | 5–0 | 100.00% |
| NAIF vs Kuma | 3–2 | 60.00% |
| NAIF vs Raven | 0–5 | 0.00% |
| NAIF vs Armor King | 2–2 | 50.00% |
| NAIF vs Panda | 2–1 | 66.67% |
| NAIF vs Leo | 0–2 | 0.00% |
| NAIF vs Shaheen | 0–1 | 0.00% |
| NAIF vs Lidia | 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.