Hey there.
Since I had read several threads with nerf/buffs about the same classes today and wanted to test whether ChatGPT is suitable as a programming aid, I just thought I could write a program with AI support, which evaluates the shuffle ladder and presents specs according to strength.
For this the programm analyzed the top 100 players of each spec (except tanks and outlaw rogue). To determine the strength of the specs, it multiplied the average rating with the average winratio of each spec.
Here is the result, with the last two columns showing how far they are from the median:
Spec | Avg Rating | Win Ratio | Spec Strength | D2Median | in % |
---|---|---|---|---|---|
druid/balance | 2417.95 | 0.5638 | 1363.24 | 174.82 | 14.71 |
warlock/destruction | 2331.3 | 0.5762 | 1343.3 | 154.88 | 13.03 |
monk/mistweaver | 2303.31 | 0.5682 | 1308.74 | 120.32 | 10.12 |
shaman/elemental | 2331.16 | 0.5471 | 1275.38 | 86.96 | 7.32 |
warlock/demonology | 2305.47 | 0.5485 | 1264.55 | 76.13 | 6.41 |
priest/shadow | 2363.35 | 0.5337 | 1261.32 | 72.9 | 6.13 |
rogue/subtlety | 2272.57 | 0.548 | 1245.37 | 56.95 | 4.79 |
druid/restoration | 2273.99 | 0.5467 | 1243.19 | 54.77 | 4.61 |
paladin/retribution | 2343.4 | 0.529 | 1239.66 | 51.24 | 4.31 |
shaman/enhancement | 2289.61 | 0.5412 | 1239.14 | 50.72 | 4.27 |
mage/fire | 2281.27 | 0.5406 | 1233.25 | 44.83 | 3.77 |
priest/holy | 2247.32 | 0.5446 | 1223.89 | 35.47 | 2.98 |
warrior/fury | 2226.68 | 0.5474 | 1218.88 | 30.46 | 2.56 |
druid/feral | 2272.37 | 0.5304 | 1205.27 | 16.85 | 1.42 |
warrior/arms | 2266.29 | 0.5264 | 1192.98 | 4.56 | 0.38 |
monk/windwalker | 2261.93 | 0.5254 | 1188.42 | 0.0 | 0.0 |
shaman/restoration | 2208.09 | 0.5354 | 1182.21 | -6.21 | -0.52 |
hunter/survival | 2227.94 | 0.5268 | 1173.68 | -14.74 | -1.24 |
evoker/preservation | 2185.11 | 0.5357 | 1170.56 | -17.86 | -1.5 |
priest/discipline | 2217.18 | 0.5247 | 1163.35 | -25.07 | -2.11 |
warlock/affliction | 2183.84 | 0.5304 | 1158.31 | -30.11 | -2.53 |
demonhunter/havoc | 2203.34 | 0.5191 | 1143.75 | -44.67 | -3.76 |
mage/frost | 2152.52 | 0.5216 | 1122.75 | -65.67 | -5.53 |
hunter/marksmanship | 2142.08 | 0.5225 | 1119.24 | -69.18 | -5.82 |
evoker/devastation | 2099.72 | 0.5309 | 1114.74 | -73.68 | -6.2 |
hunter/beastmastery | 2084.12 | 0.5268 | 1097.91 | -90.51 | -7.62 |
deathknight/unholy | 2076.91 | 0.5135 | 1066.49 | -121.93 | -10.26 |
paladin/holy | 2058.76 | 0.518 | 1066.44 | -121.98 | -10.26 |
rogue/assassination | 2043.24 | 0.5079 | 1037.76 | -150.66 | -12.68 |
deathknight/frost | 1933.18 | 0.5193 | 1003.9 | -184.52 | -15.53 |
mage/arcane | 1905.22 | 0.5187 | 988.24 | -200.18 | -16.84 |
According to the data, WW Monk is at the median, meaning that 50% of the specs are performing better on the ladder while 50% are lagging behind.
I think that speaks for itself, but for better visualization, I’ve created a tier list based on this data which you can find here:
https://ibb.co/4NYPTYX
I’m actually surprised that the data almost perfectly matches my expectations. I would have thought that sub rogue and hunter would be higher, but I suppose the reason is due to random groups and the difficulties in setting up good setups that way. Also, I expected DH to be higher, but whatever.
The rest, however, was exactly what I expected and it clearly shows the current wizard meta and how powerful control + range abilities + magic damage (ret/enha) really are! To be fair though, we need a god tier for boomy since S tier isn’t even close enough to show its strength!!
What do you think about this kind of analysis? Do you find it helpful to see a more statistical and therefore less biased tier list? Let me know!