Name history
| LOGM | |
| sinclair | |
| Manhattan cafe | |
| 5 years old | |
| umamusume | |
| dream journey | |
| logm |
| LOGM vs Dragunov | 86–77 | 52.76% |
| LOGM vs Hwoarang | 85–73 | 53.80% |
| LOGM vs Kazuya | 80–68 | 54.05% |
| LOGM vs Lidia | 74–71 | 51.03% |
| LOGM vs Bryan | 69–51 | 57.50% |
| LOGM vs Jin | 59–60 | 49.58% |
| LOGM vs King | 53–65 | 44.92% |
| LOGM vs Azucena | 60–48 | 55.56% |
| LOGM vs Victor | 53–55 | 49.07% |
| LOGM vs Jun | 54–48 | 52.94% |
| LOGM vs Paul | 48–49–1 | 49.48% |
| LOGM vs Reina | 42–56 | 42.86% |
| LOGM vs Steve | 36–56 | 39.13% |
| LOGM vs Yoshimitsu | 47–36 | 56.63% |
| LOGM vs Lili | 39–43 | 47.56% |
| LOGM vs Nina | 44–34 | 56.41% |
| LOGM vs Asuka | 43–34 | 55.84% |
| LOGM vs Heihachi | 42–33 | 56.00% |
| LOGM vs Law | 39–34 | 53.42% |
| LOGM vs Feng | 33–38–1 | 46.48% |
| LOGM vs Alisa | 32–32 | 50.00% |
| LOGM vs Claudio | 27–37 | 42.19% |
| LOGM vs Lars | 26–36 | 41.94% |
| LOGM vs Lee | 32–28 | 53.33% |
| LOGM vs Devil Jin | 23–32 | 41.82% |
| LOGM vs Raven | 22–29 | 43.14% |
| LOGM vs Jack-8 | 22–28 | 44.00% |
| LOGM vs Leo | 27–21 | 56.25% |
| LOGM vs Zafina | 16–29 | 35.56% |
| LOGM vs Xiaoyu | 19–25 | 43.18% |
| LOGM vs Kuma | 29–14 | 67.44% |
| LOGM vs Eddy | 17–24 | 41.46% |
| LOGM vs Leroy | 20–19 | 51.28% |
| LOGM vs Shaheen | 16–17 | 48.48% |
| LOGM vs Clive | 11–12 | 47.83% |
| LOGM vs Panda | 13–7 | 65.00% |
| LOGM vs Fahkumram | 7–6 | 53.85% |
| LOGM vs Anna | 5–2 | 71.43% |
| LOGM vs Miary Zo | 2–1 | 66.67% |
| LOGM vs Armor King | 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.