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

-
Xavier eSports
Xavier eSports(XAV)
R6:S
ASIA
424
62
64.5%
1699
-
Team MCES
Team MCES(MCES)
R6:S
EU
422
17
23.5%
1322
-
XSET
XSET(XSE)
R6:S
NA
398
67
43.3%
1650
-
Mirage
Mirage(MIR)
R6:S
NA
387
89
36.0%
1568
-
Sengoku Gaming
Sengoku Gaming(SG)
R6:S
ASIA
382
59
40.7%
1426
-
x6tence
x6tence(X6E)
R6:S
EU
381
7
0.0%
1283
-
Father's Back
Father's Back(FTB)
R6:S
ASIA
363
48
29.2%
1387
-
PACT
PACT(PCT)
R6:S
EU
341
21
23.8%
1385
-
IziDream
IziDream(IZI)
R6:S
EU
328
35
57.1%
1674
-
Maestria
Maestria(MAE)
R6:S
EU
323
21
14.3%
1251
-
Aquila Esports
Aquila Esports(AQU)
R6:S
EU
323
1
0.0%
-
OrgLess
OrgLess(ORG)
R6:S
319
29
27.6%
1597
-
Knights
Knights(KNI)
R6:S
OCE
317
172
58.7%
1613
-
Team Singularity
Team Singularity(SNG)
R6:S
SA
298
17
17.6%
1371
-
GODSENT
GODSENT(GOD)
R6:S
EU
293
13
30.8%
1417
-
Giants Spain
Giants Spain(GIA)
R6:S
EU
288
20
55.0%
1564
-
ex-Noble eSports
ex-Noble eSports(ex-NBL)
R6:S
NA
279
0
0.0%
-
9z Team
9z Team(9z)
R6:S
SA
278
68
35.3%
1332
-
Shopify Rebellion
Shopify Rebellion(Shopify Rebellion)
R6:S
278
50
58.0%
1772
-
GUTS Gaming
GUTS Gaming(GUT)
R6:S
ASIA
278
98
53.1%
1630

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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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