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JRockets Cole Cwiklowski

JRockets (Cole Cwiklowski, United States) plays League of Legends as a top laner for Contingent Esports.

Maps
24
Last 90 days
Kill participation
45%
Last 90 days
Kills − deaths
-23
Last 90 days

Team History

  1. Contingent Esports current

    14 May 2026 – present 5 m

    W-L 6-3

JRockets Statistics

Kill participation
45% below the average map
share of the team’s kills
GPM
371
gold per minute
Creep score
5838
+/-
-23 below the average map
kills minus deaths
Maps
24
K-D
85-108
kills and deaths
Assists
102

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

Champions · career

Champion Played W-L Win rate Kill participation
Ambessa 4 1-3 25% 56%
Gnar 3 0-3 0% 51%
Olaf 3 2-1 67% 35%
Gwen 2 1-0+1 no result 100% 33%
Jayce 2 1-1 50% 51%
Zaahen 2 1-1 50% 51%
Camille 1 1-0 100% 37%
Dr. Mundo 1 1-0 100% 29%
Jax 1 0-1 0% 25%
K'Sante 1 0-1 0% 58%
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JRockets 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 Group Stage Ended CCG Esports 1 Contingent Esports, Winner 2 Game 1 — 13–22 kills — Winner: Contingent Esports; Game 2 — 17–18 kills — Winner: Contingent Esports; Game 3 — 17–26 kills — Winner: Contingent Esports
K-D
18-8
+/-
+10 above the average map
KP
43% below the average map
Maps
3 maps
LoL T3 bo3 NACL Group Stage Ended NRG Esports, Winner 2 Contingent Esports 0 Game 1 — 24–10 kills — Winner: NRG Esports; Game 2 — 21–7 kills — Winner: NRG Esports
K-D
5-10
+/-
-5 below the average map
KP
40% below the average map
Maps
2 maps
LoL T3 bo3 NACL Group Stage Ended Maryville University, Winner 2 Contingent Esports 0 Game 1 — 36–36 kills — Winner: Maryville University; Game 2 — 29–12 kills — Winner: Maryville University
K-D
11-14
+/-
-3 below the average map
KP
50% below the average map
Maps
2 maps
LoL T3 bo3 NACL Group Stage Ended Conviction, Winner 2 Contingent Esports 0 Game 1 — 32–13 kills — Winner: Conviction; Game 2 — 20–6 kills — Winner: Conviction
K-D
6-13
+/-
-7 below the average map
KP
61% below the average map
Maps
2 maps
LoL T3 bo3 NACL Group Stage Ended Blue Otter 1 Contingent Esports, Winner 2 Game 1 — 35–16 kills — Winner: Blue Otter; Game 2 — 10–27 kills — Winner: Contingent Esports; Game 3 — 12–13 kills — Winner: Contingent Esports
K-D
16-13
+/-
+3 above the average map
KP
53% below the average map
Maps
3 maps
LoL T3 bo3 NACL Group Stage Ended University of Mississippi 1 Contingent Esports, Winner 2 Game 1 — 21–5 kills — Winner: University of Mississippi; Game 2 — 14–32 kills — Winner: Contingent Esports; Game 3 — 17–19 kills — Winner: Contingent Esports
K-D
11-11
+/-
+0
KP
47% below the average map
Maps
3 maps
LoL T3 bo5 NACL Summer Promotion Ended Contingent Esports, Winner 3 DeathMark E-Sports 0 Game 1 — —; Game 2 — —; Game 3 — —
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 Summer Promotion Ended Contingent Esports, Winner 2 Nine Lives Esports 1 Game 1 — —; Game 2 — —; Game 3 — —

CON ENSI.Score Chart

10 Matches
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