中文译文
下表列出各背景的预期属性。最后一列是自定义评分,衡量该背景相较于基准背景(学徒)的平均属性优势。计算时纳入全部属性,并按各属性的升级增幅加权:将每项属性的[平均值与学徒的差]÷[0 星时的升级增幅]÷[3,即每次升级可提升的属性数]相加,结果保留 2 位小数。因此,这个评分大致表示该背景相较学徒多出了多少次升级的属性收益。如需查看另一种“评分”算法,请参阅此页的旧版本。
英文原文
This is another table with expected attributes scores. The last column is a custom made rating that shows how much more points a Background gets from average scores (Apprentice). Every attribute is accounted for and weighed according to its level-up range, the sum of each ([attribute average difference from Apprentice] ÷ [level-up range at 0 stars] ÷ [3, the number of upgrades per level-up]), rounded to 2 decimal places. Thus, it represents roughly the number of attribute level-ups better that a Background is, compared to Apprentice. To see another version of the "Rating" column, refer to the previous page version.









