FOREVER CENSUSby Arqen
World of Warcraft: Forever census

Who plays what in Forever

Classes, races, the new combos and how fast people level, counted from in-game /who scans by volunteer scanners. Updated after every scan.

Launch countdownNov 4, 3:00 PM PST
--Days
--Hours
--Minutes
--Seconds
≈ 70,400
Players online now, estimated from the latest scans
Alliance 46.6%≈ 32,800 Horde 53.4%≈ 37,600

17,492 different characters counted by our scanners since 12 Oct 2026. A sample, not every character in the game.

Most played class
Warrior
16.2% of characters
Most played race
Undead
20.4% of characters
Top combo
Skyborne Druid
7.6% · new in Forever
On a new-in-Forever combo
32.6%
incl. every Skyborne

Classes

Share of all characters seen

Warrior
16.2%2,841
Druid
13.7%2,405
Hunter
13.6%2,381
Mage
10.6%1,860
Shaman
10.5%1,837
Paladin
10.1%1,770
Warlock
9.1%1,586
Priest
8.6%1,502
Rogue
7.5%1,310

Races

Skyborne is the only race on both sides

Undead
20.4%3,574
Tauren
14.1%2,461
Skyborne
13.4%2,347
Orc
12.7%2,220
Human
10.5%1,840
Troll
9.5%1,659
Skyborne
6.3%1,094
Night Elf
4.7%815
Dwarf
4.6%803
Gnome
3.9%679

Race × Class

Share of all characters for every combination. Brighter means more popular.

Warrior
Paladin
Hunter
Rogue
Priest
Shaman
Mage
Warlock
Druid
Human1.93.21.00.60.9–0.82.1–
Dwarf0.61.10.50.10.22.1–––
Night Elf0.8–1.20.60.6–––1.5
Gnome0.4––0.30.7–0.81.7–
Orc3.4–2.50.9–3.01.91.0–
Undead1.45.8–2.44.6–3.32.9–
Tauren4.9–2.5––1.9––4.7
Troll0.8–2.10.71.60.82.21.3–
Skyborne2.1–3.72.0–2.71.7–7.6
less → more popular (% of all)new in Forever– not seen

Levels

Characters at their latest seen level. Hover a bar for numbers.

01,0002,000151015202530
AllianceHorde

About the data

How the numbers are made

Scans
14
by 1 scanner
Last scan
12 Oct 2026, 20:56 UTC
Characters
17,492
unique, names never stored

Scanners run the Arqen Census addon, which sends small /who queries one key press at a time, the way the game allows. Each character is counted once, at the latest level we saw. /who only shows your own faction, so a side with fewer scanners is under-counted until more people scan it. Treat the numbers as a large sample, not a head count.

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