| V3onm vs Law | 34–33 | 50.75% |
| V3onm vs Steve | 24–32 | 42.86% |
| V3onm vs Kazuya | 24–28 | 46.15% |
| V3onm vs Jin | 17–33 | 34.00% |
| V3onm vs King | 12–27 | 30.77% |
| V3onm vs Armor King | 17–19 | 47.22% |
| V3onm vs Hwoarang | 10–20 | 33.33% |
| V3onm vs Eddy | 13–16 | 44.83% |
| V3onm vs Lili | 14–14 | 50.00% |
| V3onm vs Bryan | 11–10 | 52.38% |
| V3onm vs Dragunov | 6–14 | 30.00% |
| V3onm vs Yoshimitsu | 7–10 | 41.18% |
| V3onm vs Paul | 7–9 | 43.75% |
| V3onm vs Clive | 6–9 | 40.00% |
| V3onm vs Heihachi | 6–8 | 42.86% |
| V3onm vs Miary Zo | 5–9 | 35.71% |
| V3onm vs Asuka | 8–5 | 61.54% |
| V3onm vs Jun | 5–7 | 41.67% |
| V3onm vs Alisa | 4–7 | 36.36% |
| V3onm vs Nina | 4–7 | 36.36% |
| V3onm vs Reina | 6–5 | 54.55% |
| V3onm vs Fahkumram | 5–6 | 45.45% |
| V3onm vs Lee | 7–3 | 70.00% |
| V3onm vs Victor | 6–4 | 60.00% |
| V3onm vs Zafina | 5–4 | 55.56% |
| V3onm vs Azucena | 2–7 | 22.22% |
| V3onm vs Lars | 2–6 | 25.00% |
| V3onm vs Claudio | 4–4 | 50.00% |
| V3onm vs Xiaoyu | 3–3 | 50.00% |
| V3onm vs Devil Jin | 1–5 | 16.67% |
| V3onm vs Feng | 3–3 | 50.00% |
| V3onm vs Leo | 1–5 | 16.67% |
| V3onm vs Lidia | 4–2 | 66.67% |
| V3onm vs Leroy | 3–1 | 75.00% |
| V3onm vs Raven | 3–1 | 75.00% |
| V3onm vs Shaheen | 1–2 | 33.33% |
| V3onm vs Panda | 2–1 | 66.67% |
| V3onm vs Jack-8 | 0–2 | 0.00% |
| V3onm vs Anna | 1–1 | 50.00% |
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.