| Nong_Tonorn vs King | 18–22 | 45.00% |
| Nong_Tonorn vs Kazuya | 18–19 | 48.65% |
| Nong_Tonorn vs Reina | 17–9 | 65.38% |
| Nong_Tonorn vs Dragunov | 11–12 | 47.83% |
| Nong_Tonorn vs Steve | 11–7 | 61.11% |
| Nong_Tonorn vs Victor | 11–7 | 61.11% |
| Nong_Tonorn vs Jin | 9–8 | 52.94% |
| Nong_Tonorn vs Lili | 7–9 | 43.75% |
| Nong_Tonorn vs Asuka | 8–7 | 53.33% |
| Nong_Tonorn vs Yoshimitsu | 8–6 | 57.14% |
| Nong_Tonorn vs Bryan | 9–5 | 64.29% |
| Nong_Tonorn vs Heihachi | 5–9 | 35.71% |
| Nong_Tonorn vs Xiaoyu | 4–7 | 36.36% |
| Nong_Tonorn vs Nina | 5–6 | 45.45% |
| Nong_Tonorn vs Paul | 1–9 | 10.00% |
| Nong_Tonorn vs Law | 4–5 | 44.44% |
| Nong_Tonorn vs Hwoarang | 4–5 | 44.44% |
| Nong_Tonorn vs Shaheen | 5–4 | 55.56% |
| Nong_Tonorn vs Eddy | 7–2 | 77.78% |
| Nong_Tonorn vs Lidia | 6–3 | 66.67% |
| Nong_Tonorn vs Alisa | 4–4 | 50.00% |
| Nong_Tonorn vs Jun | 4–4 | 50.00% |
| Nong_Tonorn vs Lars | 4–3 | 57.14% |
| Nong_Tonorn vs Claudio | 4–1 | 80.00% |
| Nong_Tonorn vs Lee | 4–1 | 80.00% |
| Nong_Tonorn vs Jack-8 | 4–0 | 100.00% |
| Nong_Tonorn vs Leo | 1–3 | 25.00% |
| Nong_Tonorn vs Azucena | 1–3 | 25.00% |
| Nong_Tonorn vs Devil Jin | 1–1 | 50.00% |
| Nong_Tonorn vs Kuma | 0–2 | 0.00% |
| Nong_Tonorn vs Panda | 0–2 | 0.00% |
| Nong_Tonorn vs Zafina | 0–2 | 0.00% |
| Nong_Tonorn vs Leroy | 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.