CS2 Map Meta Stats

Competitive map statistics aggregated from professional teams — pick rates, ban rates, side balance, and more.

How the CS2 map meta is measured

Counter-Strike 2 has seven active duty maps in the competitive pool: Mirage, Inferno, Nuke, Anubis, Ancient, Dust 2, and Train. Each is contested with a veto system where teams alternately ban and pick maps before a series begins. The "meta" refers to which maps are being picked, banned, and won most often at the pro level — and it shifts whenever Valve patches a map or rotates the pool.

What this page tracks

  • Pick rate — how often each map is selected when it survives the veto
  • Ban rate — how often each map is removed in the first ban phase
  • CT-side win rate — percentage of rounds won by the Counter-Terrorist side
  • T-side win rate — percentage of rounds won by the Terrorist side
  • Side balance — how skewed each map currently is (a map at 60% CT is "CT-favoured")
  • Recent trend — how each metric has changed over the last 30 days

Why it matters

Map meta data is the foundation of pro-level draft strategy. Teams ban maps where their opponents have a strong T-side win rate, pick maps with favourable side balance, and adapt their playstyles to whichever maps are currently dominant. Watching the meta shift after a Valve patch — such as Inferno's 2025 mid-round rebalance — gives you a tactical edge whether you're playing the game or forecasting matches.

Related

11Maps Tracked
16,780Total Maps Played
16Teams Analyzed
402,840Total Rounds

Full Comparison

#MapPlayedAvg Pick%Avg Ban%CT WRT WRBalancePistol WRTeams
1
MirageMirage
2,64211.8%35.7%54.6%48.5%🛡️ CT +6.151.9%16
2
InfernoInferno
2,63013.1%28.8%51.2%51.5%⚖️ Even51.7%16
3
NukeNuke
2,42912.4%31.6%56.5%47.1%🛡️ CT +9.452.2%16
4
AncientAncient
2,30412.1%19.5%52.8%49.8%🛡️ CT +3.050.2%15
5
Dust2Dust2
1,86811.7%26.9%51.7%52.5%⚖️ Even50.5%16
6
OverpassOverpass
1,6186.5%18.3%56.6%46.6%🛡️ CT +10.051.1%16
7
AnubisAnubis
1,2026.1%25.3%45%56.9%💣 T +11.951.3%15
8
VertigoVertigo
1,0081.7%16.5%50.5%52.5%⚖️ Even51.7%15
9
TrainTrain
8304.3%13.1%57.8%45.3%🛡️ CT +12.553.3%16
10
CacheCache
1791.9%8.1%48.3%53.5%💣 T +5.250%9
11
CobblestoneCobblestone
700.2%8.5%46.2%49.5%💣 T +3.345.7%6

Data aggregated from 16 professional teams via PandaScore. Statistics include all competitive matches tracked for each team.