| NTNL|Mobilia vs Kazuya | 17–11 | 60.71% |
| NTNL|Mobilia vs Lili | 16–7 | 69.57% |
| NTNL|Mobilia vs Yoshimitsu | 18–1 | 94.74% |
| NTNL|Mobilia vs Paul | 13–5 | 72.22% |
| NTNL|Mobilia vs King | 13–3 | 81.25% |
| NTNL|Mobilia vs Jin | 9–7 | 56.25% |
| NTNL|Mobilia vs Devil Jin | 10–5 | 66.67% |
| NTNL|Mobilia vs Azucena | 10–5 | 66.67% |
| NTNL|Mobilia vs Jun | 9–4 | 69.23% |
| NTNL|Mobilia vs Law | 9–3 | 75.00% |
| NTNL|Mobilia vs Nina | 8–4 | 66.67% |
| NTNL|Mobilia vs Fahkumram | 9–3 | 75.00% |
| NTNL|Mobilia vs Leroy | 6–5 | 54.55% |
| NTNL|Mobilia vs Eddy | 5–6 | 45.45% |
| NTNL|Mobilia vs Armor King | 8–3 | 72.73% |
| NTNL|Mobilia vs Xiaoyu | 8–2 | 80.00% |
| NTNL|Mobilia vs Steve | 5–5 | 50.00% |
| NTNL|Mobilia vs Dragunov | 6–4 | 60.00% |
| NTNL|Mobilia vs Lee | 6–4 | 60.00% |
| NTNL|Mobilia vs Reina | 5–5 | 50.00% |
| NTNL|Mobilia vs Hwoarang | 7–2 | 77.78% |
| NTNL|Mobilia vs Anna | 7–2 | 77.78% |
| NTNL|Mobilia vs Bryan | 6–2 | 75.00% |
| NTNL|Mobilia vs Claudio | 6–2 | 75.00% |
| NTNL|Mobilia vs Kuma | 4–4 | 50.00% |
| NTNL|Mobilia vs Leo | 3–4 | 42.86% |
| NTNL|Mobilia vs Victor | 6–1 | 85.71% |
| NTNL|Mobilia vs Feng | 4–2 | 66.67% |
| NTNL|Mobilia vs Lars | 6–0 | 100.00% |
| NTNL|Mobilia vs Alisa | 5–0 | 100.00% |
| NTNL|Mobilia vs Raven | 4–0 | 100.00% |
| NTNL|Mobilia vs Heihachi | 4–0 | 100.00% |
| NTNL|Mobilia vs Asuka | 0–3 | 0.00% |
| NTNL|Mobilia vs Jack-8 | 2–0 | 100.00% |
| NTNL|Mobilia vs Shaheen | 2–0 | 100.00% |
| NTNL|Mobilia vs Zafina | 1–1 | 50.00% |
| NTNL|Mobilia vs Clive | 2–0 | 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.