← all matches · CS Asia Championships 2025 · October 15, 2025

MIBR vs Virtus.pro

MIBR
0
BO3
Virtus.pro
2

Virtus.pro beat MIBR 2–0 at CS Asia Championships 2025 on October 15, 2025 in a BO3 series.

Maps

# Map MIBR Virtus.pro Winner
1 Ancient 5 13 Virtus.pro
2 Train 11 13 Virtus.pro

What the result was worth

Our Elo model favoured Virtus.pro at 57% going in, and the result moved their rating +14 points to 1,471 as it stood that day.

The two had met 5 times before this, with Virtus.pro ahead on 2–3 — so this result took the head-to-head to 3–3.

Virtus.pro came into the series having won 3 of their previous 5 matches on record here.

MIBR Elo after
1,390
-15 from this match
Virtus.pro Elo after
1,471
+14 from this match
Model call going in
43%
MIBR to win

Head to head before this match

MIBR 3–2 Virtus.pro across 5 meetings.

DateEventResult
Aug 6, 2025 BLAST Bounty Fall 2025: Closed Qualifier MIBR 0–2 Virtus.pro
Jul 16, 2025 FISSURE Playground 1 Virtus.pro 0–2 MIBR
May 14, 2025 PGL Astana 2025 MIBR 2–1 Virtus.pro
Jan 31, 2025 Intel Extreme Masters Katowice 2025 Play-In MIBR 0–2 Virtus.pro
Nov 30, 2024 Perfect World Shanghai Major 2024 Opening Virtus.pro 0–1 MIBR

These maps, before this series

Each side's record on these maps going into the match — the series above is not counted, so the numbers are the form the two teams brought with them rather than the result of it.

MapMIBRVirtus.pro
Ancient 6–13 11–23
Train 3–7 6–7

Form going in

MIBR

L vs Liquid Oct 14
W vs Lynn Vision Oct 14
L vs Virtus.pro Aug 6
L vs HEROIC Jul 24
L vs 3DMAX Jul 23

Virtus.pro

W vs The Huns Oct 14
L vs Legacy Oct 14
L vs paiN Sep 17
W vs 3DMAX Sep 16
W vs Lynn Vision Sep 15

Elo here is our own opponent-weighted rating as it stood on the day, replayed from the results available then — not where the two sides stand now, which is on strength ratings, where the method is written out. How often the model has been right is on the prediction accuracy page.

Not betting advice. Every percentage on this page describes what past results imply, not what will happen. The model knows match results and nothing else — it cannot see a roster change until the new lineup has played, and it has no opinion on map vetoes or on whether a match is online or on LAN. We publish its hit rate and calibration so you can judge it for yourself. No bookmaker odds or affiliate links appear on this site.