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Arbrio Leo Berlus-Roy

Arbrio (Leo Berlus-Roy, Canada) plays League of Legends as a top laner for Apex Mission Impossible.

Maps
2
Last 90 days
Kill participation
37%
Last 90 days
Kills − deaths
-2
Last 90 days

Team History

  1. Apex Mission Impossible current

    12 Mar 2026 – present 7 m

    W-L 1-10

  2. Contingent Esports

    21 Aug 2026 – 3 Sep 2026 0 m by match dates This line-up has no recorded dates: the period runs from its first match to its last

    W-L 1-2

Arbrio Statistics

Kill participation
37% below the average map
share of the team’s kills
GPM
370
gold per minute
Creep score
418
+/-
-2 below the average map
kills minus deaths
Maps
2
K-D
6-8
kills and deaths
Assists
3

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
Jax 3 0-3 0% 28%
K'Sante 3 1-2 33% 48%
Renekton 3 0-3 0% 47%
Yorick 3 0-3 0% 34%
Ambessa 2 1-1 50% 30%
Ornn 2 1-1 50% 43%
Sion 2 0-2 0% 42%
Camille 1 0-1 0% 41%
Gnar 1 0-1 0% 50%
Zaahen 1 0-1 0% 27%
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Arbrio 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 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
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
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
6-8
+/-
-2 below the average map
KP
37% below the average map
Maps
2 maps
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
0-4
+/-
-4 below the average map
KP
14% below 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
2-8
+/-
-6 below the average map
KP
30% 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
5-9
+/-
-4 below the average map
KP
53% below 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
7-4
+/-
+3 above the average map
KP
48% below 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
4-7
+/-
-3 below the average map
KP
35% 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
6-7
+/-
-1 below the average map
KP
49% 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
5-8
+/-
-3 below the average map
KP
49% 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
3-8
+/-
-5 below the average map
KP
47% 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
0-5
+/-
-5 below the average map
KP
25% below the average map
Maps
2 maps

AMI ENSI.Score Chart

10 Matches
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