| N1117 vs Kazuya | 21–36 | 36.84% |
| N1117 vs Hwoarang | 32–21 | 60.38% |
| N1117 vs Jin | 22–29 | 43.14% |
| N1117 vs Steve | 24–15 | 61.54% |
| N1117 vs Bryan | 16–17 | 48.48% |
| N1117 vs Law | 14–15 | 48.28% |
| N1117 vs Heihachi | 7–20 | 25.93% |
| N1117 vs King | 16–10 | 61.54% |
| N1117 vs Reina | 15–10 | 60.00% |
| N1117 vs Paul | 10–10 | 50.00% |
| N1117 vs Fahkumram | 11–9 | 55.00% |
| N1117 vs Yoshimitsu | 11–8 | 57.89% |
| N1117 vs Dragunov | 9–9 | 50.00% |
| N1117 vs Devil Jin | 10–7 | 58.82% |
| N1117 vs Lili | 6–8 | 42.86% |
| N1117 vs Jun | 6–8 | 42.86% |
| N1117 vs Lidia | 9–5 | 64.29% |
| N1117 vs Anna | 8–6 | 57.14% |
| N1117 vs Lars | 7–5 | 58.33% |
| N1117 vs Armor King | 6–6 | 50.00% |
| N1117 vs Lee | 4–7 | 36.36% |
| N1117 vs Victor | 6–5 | 54.55% |
| N1117 vs Eddy | 5–5 | 50.00% |
| N1117 vs Alisa | 5–4 | 55.56% |
| N1117 vs Nina | 7–2 | 77.78% |
| N1117 vs Azucena | 3–5 | 37.50% |
| N1117 vs Leroy | 1–6 | 14.29% |
| N1117 vs Clive | 1–6 | 14.29% |
| N1117 vs Leo | 0–6 | 0.00% |
| N1117 vs Jack-8 | 3–2 | 60.00% |
| N1117 vs Claudio | 1–4 | 20.00% |
| N1117 vs Panda | 2–3 | 40.00% |
| N1117 vs Feng | 2–2 | 50.00% |
| N1117 vs Kuma | 2–2 | 50.00% |
| N1117 vs Asuka | 2–1 | 66.67% |
| N1117 vs Shaheen | 1–1 | 50.00% |
| N1117 vs Miary Zo | 0–2 | 0.00% |
| N1117 vs Zafina | 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.