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Match preview · Stake Pulse Beat III

Ninjas in Pyjamas vs MIBR — match prediction & analysis

17 October at 19:00 Oslo · by the CS Edge model

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Some matches you feel, some you count. For Ninjas in Pyjamas vs MIBR at Stake Pulse Beat III we did the counting: world ranking, three months of form, head-to-head and every map either team can realistically play.

Ninjas in Pyjamas come in ranked #26 in the world, MIBR #12.

Our call publishes before kickoff. Free on csedge.io — premium members get every call up front.

Ninjas in Pyjamas

✅ Nuke strength: 79% winrate over 19 maps is a strong tactical pick

✅ Reliably steers the veto to Nuke (61% pick rate)

✅ Strong recent form: 25 wins in last 43 (63%) shows momentum

❌ Only 33% winrate on Dust2 over 9 maps — exploitable in the veto

❌ Heavy Anubis ban usage (56% bans) limits their map bargaining

MIBR

✅ Inferno strength: 71% winrate over 14 maps is a strong tactical pick

✅ Strong recent form: 16 wins in last 25 (65%) shows momentum

❌ Practically never plays Dust2 (100% banned), reducing veto flexibility

Recent form

Ninjas in PyjamasWWLLW3 of 5 won
MIBRWWWWL4 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 PyjamasMIBR
47%17 maps Cache 67%9 maps
33%9 maps Dust2 -0 maps
47%17 maps Mirage 64%11 maps
58%12 maps Inferno 71%14 maps
79%19 maps Nuke 54%13 maps
62%16 maps Ancient 56%9 maps
67%3 maps Anubis -2 maps

The maps

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

Our picks

Per-map picks publish automatically the moment the map veto is done.

Line-ups

Player rating: ★ top · high · average · low

Ninjas in Pyjamas
sjuush sjuush1.01
★ stavn stavn1.12
xKacpersky xKacpersky1.09
adamb adamb1.10
Krimbo Krimbo1.06
MIBR
tomaszin tomaszin1.06
★ insani insani1.25
nqz nqz1.09
venomzera venomzera1.09
LNZ LNZ0.97

More on these teams

All Ninjas in Pyjamas predictions and results
All MIBR predictions and results

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