Name history
| Ramram | |
| Asuli | |
| Arcane auska | |
| JSS|Arcane | |
| JSS|Skuttle | |
| SV|Skuttle | |
| SV cap'n | |
| TUDS cap'n | |
| cap'n crunch | |
| TLH| cap'n |
| Ramram vs Kazuya | 74–64 | 53.62% |
| Ramram vs Bryan | 66–59 | 52.80% |
| Ramram vs Jin | 56–64 | 46.67% |
| Ramram vs Reina | 72–42 | 63.16% |
| Ramram vs King | 62–50 | 55.36% |
| Ramram vs Steve | 57–40 | 58.76% |
| Ramram vs Law | 43–37 | 53.75% |
| Ramram vs Hwoarang | 45–35 | 56.25% |
| Ramram vs Lee | 31–37 | 45.59% |
| Ramram vs Yoshimitsu | 40–27 | 59.70% |
| Ramram vs Paul | 32–30 | 51.61% |
| Ramram vs Feng | 23–34 | 40.35% |
| Ramram vs Dragunov | 26–29 | 47.27% |
| Ramram vs Eddy | 35–17 | 67.31% |
| Ramram vs Fahkumram | 16–36 | 30.77% |
| Ramram vs Jun | 20–30 | 40.00% |
| Ramram vs Azucena | 22–27 | 44.90% |
| Ramram vs Lidia | 31–18 | 63.27% |
| Ramram vs Lars | 21–20 | 51.22% |
| Ramram vs Asuka | 29–10 | 74.36% |
| Ramram vs Lili | 26–12 | 68.42% |
| Ramram vs Leroy | 13–25 | 34.21% |
| Ramram vs Raven | 19–18 | 51.35% |
| Ramram vs Heihachi | 19–15 | 55.88% |
| Ramram vs Xiaoyu | 12–21 | 36.36% |
| Ramram vs Jack-8 | 17–16 | 51.52% |
| Ramram vs Victor | 12–17 | 41.38% |
| Ramram vs Leo | 11–14 | 44.00% |
| Ramram vs Alisa | 17–7 | 70.83% |
| Ramram vs Nina | 10–12 | 45.45% |
| Ramram vs Anna | 15–7 | 68.18% |
| Ramram vs Devil Jin | 9–12 | 42.86% |
| Ramram vs Claudio | 10–8 | 55.56% |
| Ramram vs Zafina | 9–5 | 64.29% |
| Ramram vs Clive | 6–8 | 42.86% |
| Ramram vs Shaheen | 9–4 | 69.23% |
| Ramram vs Armor King | 3–7 | 30.00% |
| Ramram vs Kuma | 2–5 | 28.57% |
| Ramram vs Panda | 4–2 | 66.67% |
| Ramram vs Miary Zo | 3–1 | 75.00% |
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.