Name history
| Mage | |
| Samuel | |
| SixthFireShadow | |
| Guardian | |
| KonohaSamFang崩獣 | |
| Merlin | |
| Samka | |
| SamuelSam |
| Mage vs King | 62–72 | 46.27% |
| Mage vs Kazuya | 70–62 | 53.03% |
| Mage vs Jin | 62–66 | 48.44% |
| Mage vs Bryan | 57–57 | 50.00% |
| Mage vs Steve | 45–45 | 50.00% |
| Mage vs Law | 39–48 | 44.83% |
| Mage vs Dragunov | 36–49 | 42.35% |
| Mage vs Heihachi | 32–48 | 40.00% |
| Mage vs Fahkumram | 34–45 | 43.04% |
| Mage vs Hwoarang | 32–35 | 47.76% |
| Mage vs Devil Jin | 30–36 | 45.45% |
| Mage vs Reina | 29–30 | 49.15% |
| Mage vs Lili | 29–29 | 50.00% |
| Mage vs Armor King | 26–32 | 44.83% |
| Mage vs Asuka | 26–29 | 47.27% |
| Mage vs Paul | 20–30 | 40.00% |
| Mage vs Victor | 27–23 | 54.00% |
| Mage vs Yoshimitsu | 16–33 | 32.65% |
| Mage vs Lee | 23–22 | 51.11% |
| Mage vs Jun | 15–28 | 34.88% |
| Mage vs Clive | 24–19 | 55.81% |
| Mage vs Nina | 18–22 | 45.00% |
| Mage vs Eddy | 22–17 | 56.41% |
| Mage vs Xiaoyu | 23–14 | 62.16% |
| Mage vs Azucena | 20–11 | 64.52% |
| Mage vs Anna | 15–15 | 50.00% |
| Mage vs Lars | 14–15 | 48.28% |
| Mage vs Feng | 11–17 | 39.29% |
| Mage vs Leroy | 16–9 | 64.00% |
| Mage vs Alisa | 10–14 | 41.67% |
| Mage vs Lidia | 10–13 | 43.48% |
| Mage vs Miary Zo | 8–14 | 36.36% |
| Mage vs Claudio | 6–15 | 28.57% |
| Mage vs Jack-8 | 10–10 | 50.00% |
| Mage vs Kuma | 6–12 | 33.33% |
| Mage vs Zafina | 6–9 | 40.00% |
| Mage vs Raven | 6–5 | 54.55% |
| Mage vs Leo | 3–5 | 37.50% |
| Mage vs Shaheen | 3–5 | 37.50% |
| Mage vs Panda | 4–4 | 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.