| SKABLAM vs Kazuya | 103–49 | 67.76% |
| SKABLAM vs King | 81–50 | 61.83% |
| SKABLAM vs Jin | 72–54 | 57.14% |
| SKABLAM vs Bryan | 68–55 | 55.28% |
| SKABLAM vs Reina | 66–55 | 54.55% |
| SKABLAM vs Lidia | 63–51 | 55.26% |
| SKABLAM vs Law | 74–33 | 69.16% |
| SKABLAM vs Hwoarang | 69–37 | 65.09% |
| SKABLAM vs Steve | 59–46 | 56.19% |
| SKABLAM vs Yoshimitsu | 48–55 | 46.60% |
| SKABLAM vs Heihachi | 47–30 | 61.04% |
| SKABLAM vs Dragunov | 39–37 | 51.32% |
| SKABLAM vs Armor King | 40–36 | 52.63% |
| SKABLAM vs Paul | 52–21 | 71.23% |
| SKABLAM vs Lili | 34–38 | 47.22% |
| SKABLAM vs Lars | 43–28 | 60.56% |
| SKABLAM vs Lee | 50–19 | 72.46% |
| SKABLAM vs Asuka | 43–24 | 64.18% |
| SKABLAM vs Jun | 36–30 | 54.55% |
| SKABLAM vs Devil Jin | 38–23 | 62.30% |
| SKABLAM vs Victor | 26–27 | 49.06% |
| SKABLAM vs Leo | 26–25 | 50.98% |
| SKABLAM vs Eddy | 26–24 | 52.00% |
| SKABLAM vs Jack-8 | 26–18 | 59.09% |
| SKABLAM vs Nina | 19–25 | 43.18% |
| SKABLAM vs Azucena | 15–27 | 35.71% |
| SKABLAM vs Xiaoyu | 19–22 | 46.34% |
| SKABLAM vs Raven | 26–14 | 65.00% |
| SKABLAM vs Leroy | 23–16 | 58.97% |
| SKABLAM vs Feng | 21–14 | 60.00% |
| SKABLAM vs Claudio | 16–17 | 48.48% |
| SKABLAM vs Kuma | 11–19 | 36.67% |
| SKABLAM vs Alisa | 9–15 | 37.50% |
| SKABLAM vs Panda | 12–9 | 57.14% |
| SKABLAM vs Shaheen | 13–5 | 72.22% |
| SKABLAM vs Fahkumram | 10–8 | 55.56% |
| SKABLAM vs Zafina | 6–10 | 37.50% |
| SKABLAM vs Clive | 4–12 | 25.00% |
| SKABLAM vs Anna | 0–4 | 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.