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 Cache. 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
25,246Total Maps Played
26Teams Analyzed
605,877Total Rounds

Full Comparison

#MapPlayedAvg Pick%Avg Ban%CT WRT WRBalancePistol WRTeams
1
MirageMirage
4,23016.5%28.4%55.3%49.6%🛡️ CT +5.752.3%26
2
NukeNuke
4,15012.6%23.1%57.9%47.8%🛡️ CT +10.152.1%25
3
InfernoInferno
3,87110.5%30.5%52.1%52%⚖️ Even51.8%26
4
Dust2Dust2
3,24214.3%22.2%52.5%53.2%⚖️ Even50.7%26
5
AncientAncient
2,90011.3%24.2%54.2%50.5%🛡️ CT +3.752%26
6
OverpassOverpass
2,2875.6%19.2%56.4%47.5%🛡️ CT +8.952.6%26
7
AnubisAnubis
1,5635.2%24.4%46.5%57.5%💣 T +11.052.4%25
8
VertigoVertigo
1,4061.8%14.1%51.7%53.1%⚖️ Even52.7%24
9
TrainTrain
1,2563.4%15.4%57.9%47.2%🛡️ CT +10.752.7%26
10
CacheCache
2320.8%7.5%50%52%⚖️ Even49.6%23
11
CobblestoneCobblestone
1090.1%6.3%45.4%49%💣 T +3.644.5%9

Data aggregated from 26 professional teams via PandaScore. Statistics include all competitive matches tracked for each team.