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Retrozing Luke Siebert

Retrozing (Luke Siebert, United States) plays League of Legends as a mid laner for Apex Mission Impossible.

Maps
2
Last 90 days
Kill participation
66%
Last 90 days
Kills − deaths
-1
Last 90 days

Team History

  1. Apex Mission Impossible current

    12 Mar 2026 – present 7 m

    W-L 1-10

Retrozing Statistics

Kill participation
66%
share of the team’s kills
GPM
346
gold per minute
Creep score
549
+/-
-1 below the average map
kills minus deaths
Maps
2
K-D
3-4
kills and deaths
Assists
8

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

Champions · career

Champion Played W-L Win rate Kill participation
Orianna 4 1-3 25% 65%
Ryze 4 1-3 25% 56%
Anivia 3 0-3 0% 57%
Galio 3 1-2 33% 59%
Mel 2 0-2 0% 79%
Ahri 1 0-1 0% 67%
Akali 1 0-1 0% 22%
Aurora 1 0-1 0% 56%
Azir 1 0-1 0% 50%
Syndra 1 0-1 0% 64%
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Retrozing 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 bo3 NACL Summer Promotion Ended Lotus, Winner 2 Apex Mission Impossible 0 Game 1 — —; Game 2 — —
LoL T3 bo3 NACL Summer Promotion Ended Apex Mission Impossible 1 Contingent Esports, Winner 2 Game 1 — —; Game 2 — —; Game 3 — —
LoL T3 bo3 NACL Regular Season Ended Apex Mission Impossible 0 Citadel Gaming, Winner 2 Game 1 — 5–18 kills — Winner: Citadel Gaming; Game 2 — 11–16 kills — Winner: Citadel Gaming
K-D
5-4
+/-
+1 above the average map
KP
72% above the average map
Maps
2 maps
LoL T3 bo3 NACL Regular Season Ended Maryville University, Winner 2 Apex Mission Impossible 0 Game 1 — 25–10 kills — Winner: Maryville University; Game 2 — 22–7 kills — Winner: Maryville University
K-D
4-4
+/-
+0
KP
39% below the average map
Maps
2 maps
LoL T3 bo3 NACL Regular Season Ended Dorado Gaming, Winner 2 Apex Mission Impossible 1 Game 1 — 12–15 kills — Winner: Apex Mission Impossible; Game 2 — 17–11 kills — Winner: Dorado Gaming; Game 3 — 15–3 kills — Winner: Dorado Gaming
K-D
4-2
+/-
+2 above the average map
KP
73% above the average map
Maps
3 maps
LoL T3 bo3 NACL Regular Season Ended Apex Mission Impossible, Winner 2 Blue Otter 0 Game 1 — 12–4 kills — Winner: Apex Mission Impossible; Game 2 — 19–15 kills — Winner: Apex Mission Impossible
K-D
6-4
+/-
+2 above the average map
KP
83% above the average map
Maps
2 maps
LoL T3 bo3 NACL Regular Season Ended Conviction, Winner 2 Apex Mission Impossible 0 Game 1 — 25–11 kills — Winner: Conviction; Game 2 — 17–12 kills — Winner: Conviction
K-D
4-4
+/-
+0
KP
62% below the average map
Maps
2 maps
LoL T2 bo3 NACL Regular Season Ended Apex Mission Impossible 0 Supernova, Winner 2 Game 1 — 10–18 kills — Winner: Supernova; Game 2 — 9–16 kills — Winner: Supernova
K-D
3-5
+/-
-2 below the average map
KP
31% below the average map
Maps
2 maps
LoL T2 bo3 NACL Regular Season Ended Apex Mission Impossible 0 Winthrop University, Winner 2 Game 1 — 4–17 kills — Winner: Winthrop University; Game 2 — 18–24 kills — Winner: Winthrop University
K-D
8-9
+/-
-1 below the average map
KP
53% below the average map
Maps
2 maps
LoL T2 bo3 NACL Regular Season Ended Apex Mission Impossible 0 CCG Esports, Winner 2 Game 1 — 4–13 kills — Winner: CCG Esports; Game 2 — 9–24 kills — Winner: CCG Esports
K-D
6-4
+/-
+2 above the average map
KP
52% below the average map
Maps
2 maps
LoL T2 bo3 NACL Regular Season Ended Apex Mission Impossible 0 NRG Esports, Winner 2 Game 1 — 3–18 kills — Winner: NRG Esports; Game 2 — 6–14 kills — Winner: NRG Esports
K-D
1-5
+/-
-4 below the average map
KP
58% below the average map
Maps
2 maps

AMI ENSI.Score Chart

10 Matches
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