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Match preview · Stake Pulse Beat III

Ninjas in Pyjamas vs Betclic — match prediction & analysis

12 October at 12:00 Oslo · by the CS Edge model

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On paper this is lopsided: Ninjas in Pyjamas sit 39 places above Betclic in the world ranking. Those gaps close more often than people expect, so here is what the numbers say once form, head-to-head and the map pool get a vote.

Ninjas in Pyjamas come in ranked #26 in the world, Betclic #65.

Our call: Ninjas in Pyjamas to win — 79% (a low-risk pick)

Ninjas in Pyjamas

✅ Nuke strength: 78% winrate over 18 maps is a strong tactical pick

✅ Reliably steers the veto to Nuke (74% pick rate)

✅ Strong recent form: 23 wins in last 39 (64%) shows momentum

❌ Only 33% winrate on Dust2 over 6 maps — exploitable in the veto

❌ Heavy Dust2 ban usage (59% bans) limits their map bargaining

Betclic

✅ Nuke strength: 62% winrate over 8 maps is a strong tactical pick

✅ Reliably steers the veto to Anubis (62% pick rate)

❌ Practically never plays Inferno (90% banned), reducing veto flexibility

Recent form

Ninjas in PyjamasWWWWW5 of 5 won
BetclicLLWLW2 of 5 won

The map pool

Win, pick and ban rates over the last three months. This is where a series is often decided before it starts — a team can steer the veto onto a map the opponent rarely plays.

Ninjas in PyjamasBetclic
46%13 maps Cache 57%7 maps
33%6 maps Dust2 -2 maps
47%15 maps Mirage 50%6 maps
64%11 maps Inferno -0 maps
78%18 maps Nuke 62%8 maps
69%16 maps Ancient 62%8 maps
67%3 maps Anubis 45%11 maps

The maps

The veto isn't done yet — map picks land right before kickoff, and this page updates automatically.

Our picks

🎯 Series — Ninjas in Pyjamas to win 2-0

Line-ups

Player rating: ★ top · high · average · low

Ninjas in Pyjamas
sjuush sjuush1.01
★ stavn stavn1.13
xKacpersky xKacpersky1.12
adamb adamb1.12
Krimbo Krimbo1.11
Betclic
Demho Demho1.06
Prism Prism1.06
★ ex1st ex1st1.20
Qlocuu Qlocuu1.08
ultimate ultimate0.96

More on these teams

All Ninjas in Pyjamas predictions and results
All Betclic predictions and results

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Statistical model estimates, published for entertainment. Match data: HLTV.org.