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Marbirius Marcus Birgander

Marbirius (Marcus Birgander, Sweden) plays League of Legends for Team UNiTY.

Maps
42
Career
Kill participation
65%
Career
Kills − deaths
+60
Career

Team History

  1. Team UNiTY current

    19 Jul 2025 – present 1 y 2 m

    W-L 0-1

  2. mCon esports

    5 Jan 2025 – 15 Jun 2025 5 m

    W-L 7-4

Marbirius Statistics

Kill participation
65%
share of the team’s kills
GPM
406
gold per minute
Creep score
10333
+/-
+60 above the average map
kills minus deaths
Maps
42
K-D
166-106
kills and deaths
Assists
313

Kill participation and GPM are averages of the maps

▲ above and ▼ below the average map of all players; a number near the average has no mark.

Last 10 maps

  1. W
  2. W
  3. L
  4. L
  5. W
  6. W
  7. W
  8. L
  9. L
  10. L

Champions · career

Champion Played W-L Win rate Kill participation
Orianna 9 4-5 44% 73%
Syndra 9 4-5 44% 69%
Aurora 7 4-3 57% 70%
Ahri 5 3-2 60% 53%
Ryze 4 0-4 0% 49%
Annie 3 2-1 67% 70%
Cho'Gath 1 0-1 0% 36%
Corki 1 0-1 0% 100%
Taliyah 1 1-0 100% 40%
Xerath 1 1-0 100% 67%
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Marbirius Match Results

Calendar

October 2026

The number in the corner of a day is how many matches it has.

Times in GMT+00:00
LoL T3 bo5 HPM Playoffs Ended Tan'i eSports CZ, Winner 3 Team UNiTY 0 Game 1 — 19–7 kills — Winner: Tan'i eSports CZ; Game 2 — 27–18 kills — Winner: Tan'i eSports CZ; Game 3 — 27–17 kills — Winner: Tan'i eSports CZ
K-D
11-10
+/-
+1 above the average map
KP
81% above the average map
Maps
3 maps
LoL T2 bo3 EMEA Group Stage Ended FlameHard, Winner 2 mCon esports 0 Game 1 — 28–12 kills — Winner: FlameHard; Game 2 — 22–35 kills — Winner: FlameHard
K-D
16-5
+/-
+11 above the average map
KP
62%
Maps
2 maps
LoL T2 bo3 EMEA Group Stage Ended CGN Esports, Winner 2 mCon esports 0 Game 1 — 24–7 kills — Winner: CGN Esports; Game 2 — 25–4 kills — Winner: CGN Esports
K-D
1-11
+/-
-10 below the average map
KP
41% below the average map
Maps
2 maps
LoL T3 bo5 ROL Playoffs Ended ZennIT, Winner 3 mCon esports 0 Game 1 — 15–7 kills — Winner: ZennIT; Game 2 — 16–24 kills — Winner: ZennIT; Game 3 — 18–8 kills — Winner: ZennIT
K-D
9-7
+/-
+2 above the average map
KP
67%
Maps
3 maps
LoL T3 bo5 ROL Playoffs Ended mCon esports, Winner 3 A One Man Army Esports 0 Game 1 — 29–7 kills — Winner: mCon esports; Game 2 — 27–16 kills — Winner: mCon esports; Game 3 — 25–4 kills — Winner: mCon esports
K-D
16-6
+/-
+10 above the average map
KP
62% below the average map
Maps
3 maps
LoL T3 bo3 ROL Group Stage Ended mCon esports, Winner 2 Senshi eSports 0 Game 1 — 20–11 kills — Winner: mCon esports; Game 2 — 26–8 kills — Winner: mCon esports
K-D
10-2
+/-
+8 above the average map
KP
64%
Maps
2 maps
LoL T3 bo3 ROL Group Stage Ended mCon esports, Winner 2 Aurora 0 Game 1 — 16–11 kills — Winner: mCon esports; Game 2 — 28–11 kills — Winner: mCon esports
K-D
11-2
+/-
+9 above the average map
KP
55% below the average map
Maps
2 maps
LoL T3 bo3 ROL Group Stage Ended mCon esports, Winner 2 Jörmungang 0 Game 1 — 19–9 kills — Winner: mCon esports; Game 2 — 27–8 kills — Winner: mCon esports
K-D
7-3
+/-
+4 above the average map
KP
57% below the average map
Maps
2 maps
LoL T3 bo5 ROL Playoffs Ended mCon esports, Winner 3 Myth Esports 0 Game 1 — 22–12 kills — Winner: mCon esports; Game 2 — 19–3 kills — Winner: mCon esports; Game 3 — 19–12 kills — Winner: mCon esports
K-D
16-5
+/-
+11 above the average map
KP
69% above the average map
Maps
3 maps
LoL T3 bo3 ROL Swiss Stage Ended mCon esports, Winner 2 Once Upon A Team 1 Game 1 — 13–13 kills — Winner: Once Upon A Team; Game 2 — —; Game 3 — —
K-D
0-3
+/-
-3 below the average map
KP
85% above the average map
Maps
1 map
LoL T3 bo3 ROL Swiss Stage Ended ZennIT, Winner 2 mCon esports 1 Game 1 — 13–11 kills — Winner: ZennIT; Game 2 — —; Game 3 — —
K-D
2-4
+/-
-2 below the average map
KP
55% below the average map
Maps
1 map
LoL T3 bo3 ROL Swiss Stage Ended mCon esports, Winner 2 Jörmungang 0 Game 1 — 23–6 kills — Winner: mCon esports; Game 2 — —
K-D
6-0
+/-
+6 above the average map
KP
74% above the average map
Maps
1 map

UNIT ENSI.Score Chart

10 Matches
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