Rainbow Six Siege Teams

The Most Accurate, Data-Driven Rainbow Six Siege Team Rankings
Strafe ranks professional Rainbow Six Siege teams by competitive performance. View R6 team rankings with regional data, match results, win rate, recent form, and overall rating.
All Regions

R6:S Teams

Rank

Team

Esport

Region

Followers

Matches

WR

Rating

-
DeathroW Rising
DeathroW Rising(DWR)
R6:S
EU
24
0
0.0%
-
Odium
Odium(ODI)
R6:S
OCE
23
28
39.3%
1401
-
NegotiumSimia
NegotiumSimia(NTS)
R6:S
23
1
0.0%
1507
-
CL4L
CL4L(CL4L)
R6:S
22
5
60.0%
1619
-
12Knights
12Knights(12K)
R6:S
NA
22
2
0.0%
1332
-
LAVEGA Esports
LAVEGA Esports(lavega)
R6:S
ASIA
22
15
40.0%
1482
-
Skull Cracker
Skull Cracker(SC)
R6:S
NA
22
21
42.9%
1473
-
Infamous Gaming
Infamous Gaming(INF)
R6:S
SA
22
26
42.3%
1382
-
Taichou
Taichou(TCO)
R6:S
NA
22
3
33.3%
1429
-
ENTERPRISE EsportsN
ENTERPRISE EsportsN(ENTERPRISE EsportsN)
R6:S
21
32
53.1%
1594
-
Mir Gaming
Mir Gaming(mir)
R6:S
ASIA
21
39
28.2%
1356
-
Circular Spheres
Circular Spheres(Spheres)
R6:S
OCE
21
36
41.7%
1466
-
BlossoM
BlossoM(BLOSSOM)
R6:S
ASIA
21
31
19.4%
1270
-
Arial Arise
Arial Arise(AAE)
R6:S
NA
21
12
66.7%
1490
-
Ground Zero Gaming
Ground Zero Gaming(GZG)
R6:S
OCE
21
13
15.4%
1313
-
CAXAPOK
CAXAPOK(CAX)
R6:S
CIS
21
9
0.0%
1252
-
TENSTAR
TENSTAR(TEN)
R6:S
EU
21
7
14.3%
1366
-
MA4
MA4(MA4)
R6:S
CIS
21
13
38.5%
1488
-
Renjichimu
Renjichimu(REN)
R6:S
EU
21
3
33.3%
1432
-
BDE
BDE(BDE)
R6:S
NA
21
1
0.0%
1402

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FAQ

How to Read the Rainbow 6 Siege Team Rankings Table

The Rainbow 6 Siege team rankings table reflects current competitive strength using Strafe's Rating methodology.

Each team entry includes:

  • Rank
  • Rating
  • Win Rate
  • Matches
  • Recent Form

These R6 esports team rankings measure live performance. They do not represent historical Pro League titles, cumulative prize money, or legacy status.

Rank and Rating

Rank in the Rainbow Six Siege teams ranking table is assigned strictly by Rating. The team with the highest Rating sits at #1.

The Rating score reflects:

  • Recent match outcomes
  • Strength of opponents
  • Consistency
  • Results over time

Recent matches carry greater weight than older results. Beating strong teams increases Rating more than defeating lower-ranked opponents.

Small Rating differences at the top are meaningful because they are built from consistent high-level results. Lower in the rankings, gaps may reflect volatility or limited match volume.

These rankings represent current strength, not historical achievements.

Win Rate and Matches

Win Rate shows the percentage of matches won. However:

  • 70% over 10 matches ≠ 65% over 50 matches
  • Larger samples increase reliability
  • Small streaks can distort perception

The Matches column provides context for ranking stability.

Team Form (Recent Results)

Recent Form tracks the last five matches.

It highlights:

  • Short-term trends
  • Momentum swings
  • Potential movement in the Rainbow 6 Siege team rankings

Because recency is weighted in the Rating system, strong recent results can influence placement quickly.

What the Rating Score Represents

The Rating in R6 esports team rankings is calculated using:

  • Recent matches
  • Strength of opposition
  • Consistency
  • Weighted recency

Teams are sorted by Rating to determine Rank. Secondary rules may apply in the case of identical values.

Best Teams vs Most Successful Teams

The best Rainbow Six Siege teams right now are not automatically the highest earning Rainbow Six teams historically.

There is a difference between:

  • Historical success (titles, prize money, legacy periods)
  • Current competitive strength (recent weighted results)

A famous organization may rank lower if recent performance declines. A rising roster can climb quickly through consistent wins against strong opponents.

Recent months matter more than previous seasons in a live ranking model.

How to Use Rainbow Six Rankings

The Rainbow 6 Siege team rankings help users:

  • Follow competitive hierarchy
  • Compare team strength objectively
  • Understand momentum
  • Track shifts in form over time

They are analytical tools built on performance data.

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