Name history
| KageX | |
| MAHVEL When? | |
| P2 Practice | |
| Season 2 When? | |
| PHIDX Enjoyer | |
| Player | |
| PHIDX ENJOYER | |
| Tanjiro | |
| Player 2 | |
| Tanjiro Kamado |
| KageX vs Kazuya | 112–67 | 62.57% |
| KageX vs Bryan | 96–43 | 69.06% |
| KageX vs Jin | 85–45 | 65.38% |
| KageX vs Hwoarang | 74–43 | 63.25% |
| KageX vs King | 66–48 | 57.89% |
| KageX vs Dragunov | 63–51 | 55.26% |
| KageX vs Lili | 66–47 | 58.41% |
| KageX vs Reina | 67–41 | 62.04% |
| KageX vs Yoshimitsu | 57–36 | 61.29% |
| KageX vs Law | 57–33 | 63.33% |
| KageX vs Steve | 56–29 | 65.88% |
| KageX vs Victor | 58–21 | 73.42% |
| KageX vs Feng | 55–21 | 72.37% |
| KageX vs Nina | 45–31 | 59.21% |
| KageX vs Lee | 45–31 | 59.21% |
| KageX vs Lars | 40–33 | 54.79% |
| KageX vs Heihachi | 37–36 | 50.68% |
| KageX vs Asuka | 45–25 | 64.29% |
| KageX vs Devil Jin | 43–17 | 71.67% |
| KageX vs Jack-8 | 39–19 | 67.24% |
| KageX vs Xiaoyu | 36–21 | 63.16% |
| KageX vs Paul | 30–24 | 55.56% |
| KageX vs Clive | 31–23 | 57.41% |
| KageX vs Shaheen | 22–27 | 44.90% |
| KageX vs Jun | 29–17 | 63.04% |
| KageX vs Alisa | 31–13 | 70.45% |
| KageX vs Azucena | 26–16 | 61.90% |
| KageX vs Leo | 25–16 | 60.98% |
| KageX vs Kuma | 24–17 | 58.54% |
| KageX vs Claudio | 24–16 | 60.00% |
| KageX vs Leroy | 22–15 | 59.46% |
| KageX vs Raven | 25–5 | 83.33% |
| KageX vs Zafina | 19–10 | 65.52% |
| KageX vs Eddy | 13–9 | 59.09% |
| KageX vs Lidia | 9–9 | 50.00% |
| KageX vs Panda | 6–3 | 66.67% |
| KageX vs Armor King | 4–3 | 57.14% |
| KageX vs Miary Zo | 5–1 | 83.33% |
| KageX vs Fahkumram | 4–1 | 80.00% |
| KageX vs Anna | 0–2 | 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.