| SNELXMEGA vs King | 12–8 | 60.00% |
| SNELXMEGA vs Lili | 7–9 | 43.75% |
| SNELXMEGA vs Jin | 8–6 | 57.14% |
| SNELXMEGA vs Jun | 4–9 | 30.77% |
| SNELXMEGA vs Lidia | 8–5 | 61.54% |
| SNELXMEGA vs Steve | 8–4 | 66.67% |
| SNELXMEGA vs Reina | 8–4 | 66.67% |
| SNELXMEGA vs Victor | 5–7 | 41.67% |
| SNELXMEGA vs Bryan | 7–4 | 63.64% |
| SNELXMEGA vs Azucena | 7–4 | 63.64% |
| SNELXMEGA vs Hwoarang | 5–5 | 50.00% |
| SNELXMEGA vs Paul | 4–5 | 44.44% |
| SNELXMEGA vs Miary Zo | 3–6 | 33.33% |
| SNELXMEGA vs Kazuya | 7–1 | 87.50% |
| SNELXMEGA vs Eddy | 4–4 | 50.00% |
| SNELXMEGA vs Yoshimitsu | 3–4 | 42.86% |
| SNELXMEGA vs Lars | 3–4 | 42.86% |
| SNELXMEGA vs Asuka | 5–1 | 83.33% |
| SNELXMEGA vs Panda | 3–3 | 50.00% |
| SNELXMEGA vs Law | 3–2 | 60.00% |
| SNELXMEGA vs Dragunov | 1–4 | 20.00% |
| SNELXMEGA vs Clive | 2–3 | 40.00% |
| SNELXMEGA vs Armor King | 2–3 | 40.00% |
| SNELXMEGA vs Lee | 3–1 | 75.00% |
| SNELXMEGA vs Fahkumram | 1–3 | 25.00% |
| SNELXMEGA vs Feng | 2–1 | 66.67% |
| SNELXMEGA vs Leroy | 1–2 | 33.33% |
| SNELXMEGA vs Leo | 0–2 | 0.00% |
| SNELXMEGA vs Nina | 0–2 | 0.00% |
| SNELXMEGA vs Kuma | 0–2 | 0.00% |
| SNELXMEGA vs Jack-8 | 0–1 | 0.00% |
| SNELXMEGA vs Alisa | 0–1 | 0.00% |
| SNELXMEGA vs Zafina | 1–0 | 100.00% |
| SNELXMEGA vs Raven | 1–0 | 100.00% |
| SNELXMEGA vs Anna | 0–1 | 0.00% |
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.