// Event · Tier S

Intel Extreme Masters Beijing 2026

2 Nov – 7 Nov 2026 LAN $1,250,000 prize pool After the cut
Race impact ?
0
Little effect on the race

It ends after the cut on 2 November, so it cannot change who goes to the Major: its race impact is 0.

Why it matters

Facts beside our number
Valve's event weight
1.00
From its prize pool, $1,250,000, through Valve's curve. It scales what every result here is worth.
Teams in the race known to attend
0
Between 1 and 99% for the Major, on the event's list or in bo3's fixtures.
Timing
After the cut
TodayCut · 2 Nov
After the cut on 2 November: nothing here counts for this Major.

Race impact is ours: how many points of Major chance this event is expected to move, summed over the teams in the race. For each team, how likely a top-half or a bottom-half finish is here in our runs, and how far apart its chance of the Major is after each. After the cut it is 0.

Who it matters to

0 teams in the race known to attend

No team in the race is expected here.

The field

16 known · in the race · strongest first, by our Elo
Europe #3
Elo 1,880 · 3rd
Europe #5
Elo 1,856 · 4th
Americas #2
Elo 1,844 · 5th
Europe #7
Elo 1,830 · 6th
In the race · 76%
Europe #28
Elo 1,775 · 8th
Americas #1
Elo 1,774 · 9th
Europe #4
Elo 1,771 · 10th
Europe #9
Elo 1,771 · 11th
Europe #30
Elo 1,741 · 12th
Americas #4
Elo 1,731 · 14th
Asia-Pacific #2
Elo 1,731 · 15th
In the race · 69%
Europe #10
Elo 1,710 · 18th
In the race · 98%
Europe #12
Elo 1,704 · 20th
In the race · 92%
Europe #20
Elo 1,682 · 22nd
In the race · 78%
Asia-Pacific #1
Elo 1,653 · 29th
Americas #5
Elo 1,637 · 36th
How these numbers are made
  • Ours: race impact, the chances, the finishes and Elo, from our forecast of 22 October (how our Elo is scored). Valve's: the standings and the event weight.
  • Race impact is how many points of Major chance the event is expected to move, summed over the teams in the race.
  • Event weight is the prize pool through Valve's curve. A stage or qualifier also takes half the pool of each finished event it feeds.
  • The whole method: the model, its sources, how well it has done and what it cannot see.