Name history
| Morning | |
| Mishima lover | |
| M4orning | |
| Happy glimore | |
| Ewfg | |
| Mk player | |
| Law is top tier | |
| Morning on yt |
| Morning vs King | 44–60 | 42.31% |
| Morning vs Law | 55–47 | 53.92% |
| Morning vs Steve | 49–51 | 49.00% |
| Morning vs Armor King | 53–47 | 53.00% |
| Morning vs Kazuya | 43–49 | 46.74% |
| Morning vs Jin | 41–42 | 49.40% |
| Morning vs Hwoarang | 40–35 | 53.33% |
| Morning vs Lars | 26–45 | 36.62% |
| Morning vs Bryan | 26–42 | 38.24% |
| Morning vs Lee | 27–41 | 39.71% |
| Morning vs Dragunov | 20–43 | 31.75% |
| Morning vs Azucena | 30–33 | 47.62% |
| Morning vs Eddy | 32–26 | 55.17% |
| Morning vs Yoshimitsu | 29–27 | 51.79% |
| Morning vs Reina | 25–30 | 45.45% |
| Morning vs Heihachi | 27–28 | 49.09% |
| Morning vs Asuka | 21–31 | 40.38% |
| Morning vs Jun | 16–24 | 40.00% |
| Morning vs Lidia | 9–31 | 22.50% |
| Morning vs Devil Jin | 23–15 | 60.53% |
| Morning vs Fahkumram | 11–25 | 30.56% |
| Morning vs Lili | 14–21 | 40.00% |
| Morning vs Victor | 18–15 | 54.55% |
| Morning vs Clive | 17–16 | 51.52% |
| Morning vs Nina | 18–14 | 56.25% |
| Morning vs Xiaoyu | 18–13 | 58.06% |
| Morning vs Anna | 10–21 | 32.26% |
| Morning vs Miary Zo | 9–16 | 36.00% |
| Morning vs Alisa | 11–13 | 45.83% |
| Morning vs Paul | 5–18 | 21.74% |
| Morning vs Leo | 6–17 | 26.09% |
| Morning vs Raven | 6–17 | 26.09% |
| Morning vs Jack-8 | 10–8 | 55.56% |
| Morning vs Feng | 5–11 | 31.25% |
| Morning vs Leroy | 7–8 | 46.67% |
| Morning vs Claudio | 4–10 | 28.57% |
| Morning vs Kuma | 6–5 | 54.55% |
| Morning vs Shaheen | 6–3 | 66.67% |
| Morning vs Zafina | 1–5 | 16.67% |
| Morning vs Panda | 4–1 | 80.00% |
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.