Name history
| Blender | |
| SebasTian | |
| R E Z E | |
| MUDKIP | |
| IZUMO | |
| KongD | |
| 라인하트 | |
| RAZER | |
| ReDMaN | |
| ZekeYeager | |
| 비서는역시설레랑 |
| Blender vs Kazuya | 26–24 | 52.00% |
| Blender vs Paul | 18–22 | 45.00% |
| Blender vs Jin | 15–18 | 45.45% |
| Blender vs Bryan | 9–21 | 30.00% |
| Blender vs Reina | 14–15 | 48.28% |
| Blender vs Hwoarang | 16–12 | 57.14% |
| Blender vs King | 10–16 | 38.46% |
| Blender vs Steve | 13–10 | 56.52% |
| Blender vs Asuka | 7–13 | 35.00% |
| Blender vs Devil Jin | 10–10 | 50.00% |
| Blender vs Heihachi | 10–10 | 50.00% |
| Blender vs Lili | 9–10 | 47.37% |
| Blender vs Leo | 10–9 | 52.63% |
| Blender vs Law | 7–11 | 38.89% |
| Blender vs Nina | 9–8 | 52.94% |
| Blender vs Jun | 8–9 | 47.06% |
| Blender vs Anna | 5–12 | 29.41% |
| Blender vs Victor | 12–4 | 75.00% |
| Blender vs Lars | 6–8 | 42.86% |
| Blender vs Dragunov | 8–5 | 61.54% |
| Blender vs Eddy | 6–6 | 50.00% |
| Blender vs Lidia | 6–6 | 50.00% |
| Blender vs Armor King | 5–6 | 45.45% |
| Blender vs Alisa | 3–7 | 30.00% |
| Blender vs Xiaoyu | 4–5 | 44.44% |
| Blender vs Fahkumram | 3–6 | 33.33% |
| Blender vs Yoshimitsu | 4–4 | 50.00% |
| Blender vs Claudio | 5–3 | 62.50% |
| Blender vs Jack-8 | 3–4 | 42.86% |
| Blender vs Clive | 5–2 | 71.43% |
| Blender vs Miary Zo | 3–4 | 42.86% |
| Blender vs Feng | 3–3 | 50.00% |
| Blender vs Lee | 2–4 | 33.33% |
| Blender vs Azucena | 4–1 | 80.00% |
| Blender vs Panda | 2–2 | 50.00% |
| Blender vs Leroy | 2–2 | 50.00% |
| Blender vs Raven | 2–1 | 66.67% |
| Blender vs Shaheen | 2–0 | 100.00% |
| Blender vs Zafina | 2–0 | 100.00% |
| Blender vs Kuma | 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.