I actually have a combat simulator (which works a bit differently than Serena's), so I thought I'd show some numbers:
This is a comparison of swordsmen, since every race has them, and uses a logic of 'trade attacks until one dies, then queue the next combatant' until one side has 1,000 casualties (as this is statistical, it can have mild errors, which is why some races have a ratio other than 1 against themselves). I don't include dark elves because my simulator doesn't handle ranged combat. This does include regeneration but assumes no kiting, so trolls and barbarians are underrated (draconians, otoh, are assumed to always be the attacker against races that don't have thrown weapons). On the table, the row is the attacking race, the column is the defending race, and the entry is the ratio of defender casualties to attacker casualties -- i.e. 0.67 for BA vs TR means 0.67 trolls died per barbarian casualty. The average is the average number of foes killed, across all races.
Comparison at Regular level of experience:
Comparison at Elite experience:
Overall, live in fear of our halfling overlords.
This is a comparison of swordsmen, since every race has them, and uses a logic of 'trade attacks until one dies, then queue the next combatant' until one side has 1,000 casualties (as this is statistical, it can have mild errors, which is why some races have a ratio other than 1 against themselves). I don't include dark elves because my simulator doesn't handle ranged combat. This does include regeneration but assumes no kiting, so trolls and barbarians are underrated (draconians, otoh, are assumed to always be the attacker against races that don't have thrown weapons). On the table, the row is the attacking race, the column is the defending race, and the entry is the ratio of defender casualties to attacker casualties -- i.e. 0.67 for BA vs TR means 0.67 trolls died per barbarian casualty. The average is the average number of foes killed, across all races.
Comparison at Regular level of experience:
Code:
Race BA BE DR DW GN HF HE HM KL LZ OC NM TR Avg
BA 1.01 0.69 0.82 0.65 0.85 0.53 0.91 1.15 0.78 0.68 1.15 1.15 0.67 0.85
BE 1.42 1.02 1.10 0.96 1.14 0.83 1.28 1.63 1.21 1.05 1.66 1.67 0.98 1.23
DR 1.19 0.91 1.00 0.88 1.07 0.67 1.22 1.59 1.03 0.91 1.58 1.59 0.82 1.11
DW 1.55 1.02 1.16 1.01 1.20 0.81 1.36 1.78 1.21 1.06 1.76 1.79 1.00 1.29
GN 1.16 0.86 0.93 0.83 0.99 0.74 1.08 1.39 1.06 0.91 1.38 1.38 0.85 1.04
HF 1.96 1.23 1.52 1.23 1.34 0.99 1.54 2.13 1.49 1.28 2.13 2.08 1.14 1.54
HE 1.09 0.79 0.81 0.75 0.92 0.65 0.99 1.27 0.93 0.80 1.26 1.27 0.78 0.95
HM 0.86 0.61 0.63 0.57 0.71 0.47 0.80 1.02 0.69 0.59 1.02 1.00 0.57 0.73
KL 1.28 0.82 0.95 0.81 0.94 0.69 1.05 1.43 1.00 0.88 1.46 1.44 0.76 1.04
LZ 1.49 0.97 1.08 0.94 1.10 0.78 1.25 1.66 1.14 1.00 1.67 1.65 0.92 1.20
OC 0.85 0.61 0.63 0.56 0.74 0.47 0.78 1.00 0.70 0.61 1.00 1.02 0.57 0.73
NM 0.87 0.61 0.63 0.57 0.73 0.47 0.78 0.98 0.68 0.60 1.01 0.97 0.57 0.73
TR 1.57 1.02 1.25 1.02 1.19 0.87 1.29 1.77 1.34 1.10 1.78 1.72 1.00 1.30Code:
Race BA BE DR DW GN HF HE HM KL LZ OC NM TR Avg
BA 1.00 0.77 0.83 0.74 0.85 0.45 0.90 1.16 0.82 0.78 1.19 1.18 0.82 0.88
BE 1.31 1.00 0.96 1.00 1.09 0.66 1.12 1.52 1.11 1.03 1.55 1.53 1.08 1.15
DR 1.18 1.05 0.99 1.06 1.12 0.61 1.20 1.65 1.11 1.03 1.65 1.66 1.05 1.18
DW 1.32 0.99 0.95 1.00 1.07 0.62 1.13 1.53 1.08 1.02 1.57 1.55 1.06 1.15
GN 1.18 0.93 0.87 0.92 0.98 0.64 1.06 1.38 1.05 0.96 1.38 1.39 1.01 1.06
HF 2.17 1.52 1.66 1.65 1.57 1.02 1.69 2.39 1.70 1.66 2.47 2.46 1.62 1.81
HE 1.15 0.88 0.83 0.87 0.95 0.60 0.99 1.34 0.99 0.92 1.31 1.32 0.96 1.01
HM 0.84 0.65 0.62 0.64 0.71 0.41 0.76 1.00 0.70 0.66 1.01 1.00 0.69 0.75
KL 1.24 0.89 0.91 0.92 0.92 0.58 0.99 1.44 1.01 0.93 1.41 1.39 0.93 1.04
LZ 1.31 0.96 0.95 0.98 1.04 0.60 1.08 1.51 1.07 1.00 1.51 1.49 1.01 1.12
OC 0.85 0.64 0.61 0.64 0.73 0.41 0.76 1.00 0.70 0.67 0.99 1.01 0.68 0.74
NM 0.84 0.65 0.63 0.64 0.72 0.41 0.74 1.01 0.70 0.66 0.99 1.00 0.69 0.74
TR 1.23 0.91 0.95 0.92 0.98 0.61 1.03 1.43 1.08 0.98 1.45 1.43 1.01 1.08
