UTubeAG2Cool vs Jin | 49–31 | 61.25% |
UTubeAG2Cool vs King | 38–41 | 48.10% |
UTubeAG2Cool vs Eddy | 26–44 | 37.14% |
UTubeAG2Cool vs Hwoarang | 27–35 | 43.55% |
UTubeAG2Cool vs Law | 23–24 | 48.94% |
UTubeAG2Cool vs Steve | 24–16 | 60.00% |
UTubeAG2Cool vs Kazuya | 17–21 | 44.74% |
UTubeAG2Cool vs Yoshimitsu | 17–16 | 51.52% |
UTubeAG2Cool vs Xiaoyu | 18–15 | 54.55% |
UTubeAG2Cool vs Dragunov | 14–18 | 43.75% |
UTubeAG2Cool vs Bryan | 18–12 | 60.00% |
UTubeAG2Cool vs Reina | 18–12 | 60.00% |
UTubeAG2Cool vs Jun | 17–11 | 60.71% |
UTubeAG2Cool vs Asuka | 9–16 | 36.00% |
UTubeAG2Cool vs Lili | 12–13 | 48.00% |
UTubeAG2Cool vs Lars | 14–11 | 56.00% |
UTubeAG2Cool vs Azucena | 5–19 | 20.83% |
UTubeAG2Cool vs Lee | 14–9 | 60.87% |
UTubeAG2Cool vs Leroy | 9–9 | 50.00% |
UTubeAG2Cool vs Victor | 10–8 | 55.56% |
UTubeAG2Cool vs Raven | 13–5 | 72.22% |
UTubeAG2Cool vs Paul | 7–9 | 43.75% |
UTubeAG2Cool vs Jack-8 | 9–6 | 60.00% |
UTubeAG2Cool vs Feng | 5–10 | 33.33% |
UTubeAG2Cool vs Alisa | 6–7–1 | 46.15% |
UTubeAG2Cool vs Nina | 7–6 | 53.85% |
UTubeAG2Cool vs Devil Jin | 7–4 | 63.64% |
UTubeAG2Cool vs Leo | 7–2 | 77.78% |
UTubeAG2Cool vs Kuma | 4–5 | 44.44% |
UTubeAG2Cool vs Shaheen | 2–5 | 28.57% |
UTubeAG2Cool vs Claudio | 3–2 | 60.00% |
UTubeAG2Cool vs Zafina | 3–0 | 100.00% |
UTubeAG2Cool vs Panda | 0–2 | 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.