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

-
eUnited
eUnited(eU)
R6:S
NA
783
24
20.8%
1420
-
Tempo Storm
Tempo Storm(TS)
R6:S
NA
770
29
27.6%
1442
-
Tempra Esports
Tempra Esports(TEM)
R6:S
EU
745
37
32.4%
1558
-
Beastcoast
Beastcoast(BCT)
R6:S
739
104
42.3%
1773
-
Santos e-Sports
Santos e-Sports(SFC)
R6:S
SA
738
52
21.2%
1397
-
Movistar Riders
Movistar Riders(MSR)
R6:S
674
44
59.1%
1612
-
Aerowolf
Aerowolf(AWF)
R6:S
ASIA
638
29
62.1%
1659
-
Mock-It Esports Academy
Mock-It Esports Academy(MEA)
R6:S
EU
626
4
25.0%
1409
-
Team Falcons
Team Falcons(FAL)
R6:S
MENA
625
115
65.2%
1866
-
Dplus
Dplus(DPL)
R6:S
ASIA
619
251
64.9%
1700
-
La Rascasse
La Rascasse(LAR)
R6:S
EU
600
0
0.0%
-
Team CryptiK
Team CryptiK(CRY)
R6:S
OCE
568
14
28.6%
1373
-
Trust Gaming
Trust Gaming(GXT)
R6:S
551
42
28.6%
1402
-
Astralis
Astralis(AST)
R6:S
NA
535
59
57.6%
1691
-
Yunktis Blue
Yunktis Blue(YUN)
R6:S
EU
486
3
33.3%
1512
-
dizLown Esport
dizLown Esport(diz)
R6:S
EU
478
7
42.9%
1367
-
KOI
KOI(KOI)
R6:S
EU
475
17
29.4%
1586
-
Cowana Gaming
Cowana Gaming(CGG)
R6:S
EU
468
65
58.5%
1720
-
FAV gaming
FAV gaming(FAV)
R6:S
ASIA
457
165
45.5%
1468
-
Heroic
Heroic(HER)
R6:S
EU
435
72
43.1%
1570

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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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