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Tubs Ivan Guan

Tubs (Ivan Guan, United States) plays League of Legends for Contingent Esports.

Maps
16
Last 90 days
Kill participation
64%
Last 90 days
Kills − deaths
-69
Last 90 days

Team History

  1. Contingent Esports current

    9 Jul 2026 – present 4 m

    W-L 4-5

  2. Pulse Star

    1 Jan 2025 – 9 May 2025 4 m by last match

    W-L 0-5

Tubs Statistics

Kill participation
64%
share of the team’s kills
GPM
264
gold per minute
Creep score
510
+/-
-69 below the average map
kills minus deaths
Maps
16
K-D
15-84
kills and deaths
Assists
148

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

Champions · career

Champion Played W-L Win rate Kill participation
Nautilus 10 4-6 40% 67%
Leona 5 1-3+1 no result 25% 73%
Alistar 4 1-3 25% 73%
Bard 3 0-3 0% 63%
Camille 3 2-1 67% 52%
Rakan 3 1-2 33% 80%
Shen 3 1-2 33% 68%
Poppy 2 1-1 50% 64%
Rell 2 1-1 50% 60%
Braum 1 0-1 0% 100%
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Tubs Match Results

Calendar

November 2026

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

Times in GMT+00:00
LoL T3 bo5 NACL Playoffs Ended Contingent Esports 2 Maryville University, Winner 3 Game 1 — 21–12 kills — Winner: Contingent Esports; Game 2 — 19–31 kills — Winner: Maryville University; Game 3 — 11–25 kills — Winner: Maryville University; Game 4 — 20–14 kills — Winner: Contingent Esports; Game 5 — 8–23 kills — Winner: Maryville University
K-D
6-29
+/-
-23 below the average map
KP
64%
Maps
5 maps
LoL T3 bo5 NACL Playoffs Ended Contingent Esports, Winner 3 University of Mississippi 1 Game 1 — 15–15 kills; Game 2 — 24–15 kills — Winner: Contingent Esports; Game 3 — 10–19 kills — Winner: University of Mississippi; Game 4 — 19–10 kills — Winner: Contingent Esports
K-D
1-14
+/-
-13 below the average map
KP
64%
Maps
4 maps
LoL T3 bo3 NACL Playoffs Ended NRG Esports, Winner 2 Contingent Esports 0 Game 1 — 21–6 kills — Winner: NRG Esports; Game 2 — 31–17 kills — Winner: NRG Esports
K-D
2-14
+/-
-12 below the average map
KP
71% above the average map
Maps
2 maps
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
5-19
+/-
-14 below the average map
KP
66%
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
1-8
+/-
-7 below the average map
KP
51% 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
3-12
+/-
-9 below the average map
KP
63%
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
1-13
+/-
-12 below the average map
KP
68%
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
3-12
+/-
-9 below the average map
KP
74% above 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
3-9
+/-
-6 below the average map
KP
67%
Maps
3 maps
LoL T2 bo3 NACL Group Stage Ended Near Airport, Winner 2 Pulse Star 0 Game 1 — 28–20 kills — Winner: Near Airport; Game 2 — 24–6 kills — Winner: Near Airport
K-D
3-8
+/-
-5 below the average map
KP
64%
Maps
2 maps
LoL T2 bo3 NACL Group Stage Ended Supernova, Winner 2 Pulse Star 1 Game 1 — 6–19 kills — Winner: Pulse Star; Game 2 — 26–16 kills — Winner: Supernova; Game 3 — 27–6 kills — Winner: Supernova
K-D
1-15
+/-
-14 below the average map
KP
70% above the average map
Maps
3 maps
LoL T2 bo3 NACL Group Stage Ended Conviction, Winner 2 Pulse Star 0 Game 1 — 24–9 kills — Winner: Conviction; Game 2 — 18–15 kills — Winner: Conviction
K-D
2-14
+/-
-12 below the average map
KP
75% above the average map
Maps
2 maps
LoL T2 bo3 NACL Group Stage Ended Pulse Star 1 CCG Esports, Winner 2 Game 1 — 30–15 kills — Winner: Pulse Star; Game 2 — 3–15 kills — Winner: CCG Esports; Game 3 — 9–22 kills — Winner: CCG Esports
K-D
1-9
+/-
-8 below the average map
KP
82% above the average map
Maps
3 maps
LoL T2 bo3 NACL Group Stage Ended Luminosity Gaming, Winner 2 Pulse Star 0 Game 1 — 20–4 kills — Winner: Luminosity Gaming; Game 2 — 31–5 kills — Winner: Luminosity Gaming
K-D
1-14
+/-
-13 below the average map
KP
80% above the average map
Maps
2 maps

CON ENSI.Score Chart

10 Matches
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