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Match preview · Stake Ranked Episode 5

Inner Circle vs MIBR — match prediction & analysis

28 October at 19:30 Oslo · by the CS Edge model

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MIBR arrive in far better shape than Inner Circle — the recent results are not close. Form is the loudest signal in CS2 and the easiest to over-read, so it is one input here, not the answer.

Inner Circle come in ranked #39 in the world, MIBR #13.

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

Inner Circle

✅ Cache strength: 67% winrate over 6 maps is a strong tactical pick

✅ Reliably steers the veto to Dust2 (67% pick rate)

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

❌ Heavy Inferno ban usage (78% bans) limits their map bargaining

MIBR

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

✅ Strong recent form: 17 wins in last 27 (63%) shows momentum

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

Recent form

Inner CircleWLLWL2 of 5 won
MIBRWLWWW4 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.

Inner CircleMIBR
67%6 maps Cache 70%10 maps
33%6 maps Dust2 -0 maps
62%8 maps Mirage 62%13 maps
-0 maps Inferno 71%14 maps
50%6 maps Nuke 54%13 maps
57%7 maps Ancient 45%11 maps
33%6 maps Anubis 67%3 maps

The maps

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

Our picks

🔒 1 pick for this match — unlocked for premium members on csedge.io (today's featured matches are free for everyone).

Line-ups

Player rating: ★ top · high · average · low

Inner Circle
onic onic0.94
Dawy Dawy1.08
zeRRoFIX zeRRoFIX1.01
★ headtr1ck headtr1ck1.16
cptkurtka023 cptkurtka0231.11
MIBR
tomaszin tomaszin1.05
★ insani insani1.24
nqz nqz1.07
venomzera venomzera1.09
LNZ LNZ0.96

More on these teams

All Inner Circle predictions and results
All MIBR predictions and results

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