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  • LoL
  • Italy
  • Free Agent
  • Role: Jungler

Mario Mario D'Agostino

Mario (Mario D'Agostino, Italy) plays League of Legends as a jungler.

Maps
50
Last 12 months
Kill participation
70%
Last 12 months
Kills − deaths
+13
Last 12 months

Team History

  1. GMBLERS ESPORTS

    3 Jan 2026 – 17 Jul 2026 6 m

    W-L 14-14

  2. Axolotl

    9 Jul 2025 – 20 Nov 2025 4 m

    W-L 3-5

Mario Statistics

Kill participation
70% above the average map
share of the team’s kills
GPM
377
gold per minute
Creep score
9625
+/-
+13 above the average map
kills minus deaths
Maps
50
K-D
195-182
kills and deaths
Assists
389

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

Champions · career

Champion Played W-L Win rate Kill participation
Pantheon 8 4-4 50% 79%
Vi 7 4-3 57% 68%
Xin Zhao 7 1-6 14% 67%
Trundle 6 3-3 50% 68%
Wukong 6 2-4 33% 67%
Jarvan IV 5 3-2 60% 79%
Nocturne 4 4-0 100% 59%
Skarner 3 1-2 33% 59%
Dr. Mundo 2 2-0 100% 86%
Sejuani 2 0-2 0% 78%
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Mario 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 T2 bo1 EMEA Play-in Stage Ended GOAL, Winner 1 GMBLERS ESPORTS 0 Game 1 — 19–4 kills — Winner: GOAL
K-D
0-4
+/-
-4 below the average map
KP
75% above the average map
Maps
1 map
LoL T2 bo1 EMEA Play-in Stage Ended GMBLERS ESPORTS, Winner 1 MAGAZA 0 Game 1 — — — Winner: GMBLERS ESPORTS
K-D
1-5
+/-
-4 below the average map
KP
85% above the average map
Maps
1 map
LoL T2 bo1 EMEA Play-in Stage Ended GMBLERS ESPORTS 0 The Otter Side, Winner 1 Game 1 — 5–22 kills — Winner: The Otter Side
K-D
3-4
+/-
-1 below the average map
KP
100% above the average map
Maps
1 map
LoL T2 bo1 EMEA Play-in Stage Ended GMBLERS ESPORTS 0 Nightbirds, Winner 1 Game 1 — 3–15 kills — Winner: Nightbirds
K-D
2-4
+/-
-2 below the average map
KP
100% above the average map
Maps
1 map
LoL T3 bo5 LIT Playoffs Ended HMBLE, Winner 3 GMBLERS ESPORTS 0 Game 1 — 23–11 kills — Winner: HMBLE; Game 2 — 19–6 kills — Winner: HMBLE; Game 3 — 36–10 kills — Winner: HMBLE
K-D
2-25
+/-
-23 below the average map
KP
72% above the average map
Maps
3 maps
LoL T3 bo5 LIT Playoffs Ended Colossal Gaming 2 GMBLERS ESPORTS, Winner 3 Game 1 — 27–18 kills — Winner: Colossal Gaming; Game 2 — 6–28 kills — Winner: GMBLERS ESPORTS; Game 3 — 8–29 kills — Winner: GMBLERS ESPORTS; Game 4 — 19–4 kills — Winner: Colossal Gaming; Game 5 — 10–21 kills — Winner: GMBLERS ESPORTS
K-D
16-15
+/-
+1 above the average map
KP
57% below the average map
Maps
5 maps
LoL T3 bo5 LIT Playoffs Ended EKO Esports 0 GMBLERS ESPORTS, Winner 3 Game 1 — 5–22 kills — Winner: GMBLERS ESPORTS; Game 2 — 4–26 kills — Winner: GMBLERS ESPORTS; Game 3 — 6–33 kills — Winner: GMBLERS ESPORTS
K-D
16-2
+/-
+14 above the average map
KP
70% above the average map
Maps
3 maps
LoL T3 bo5 LIT Playoffs Ended GMBLERS ESPORTS, Winner 3 Zena Esports 2 Game 1 — 6–19 kills — Winner: Zena Esports; Game 2 — 20–10 kills — Winner: GMBLERS ESPORTS; Game 3 — 14–20 kills — Winner: Zena Esports; Game 4 — 19–14 kills — Winner: GMBLERS ESPORTS; Game 5 — 36–20 kills — Winner: GMBLERS ESPORTS
K-D
22-19
+/-
+3 above the average map
KP
58% below the average map
Maps
5 maps
LoL T3 bo5 LIT Playoffs Ended HMBLE, Winner 3 GMBLERS ESPORTS 0 Game 1 — 22–8 kills — Winner: HMBLE; Game 2 — 25–12 kills — Winner: HMBLE; Game 3 — 27–23 kills — Winner: HMBLE
K-D
16-13
+/-
+3 above the average map
KP
73% above the average map
Maps
3 maps
LoL T3 bo1 LIT Spring Split Ended GMBLERS ESPORTS 0 Colossal Gaming, Winner 1 Game 1 — 4–16 kills — Winner: Colossal Gaming
K-D
1-5
+/-
-4 below the average map
KP
75% above the average map
Maps
1 map
LoL T3 bo1 LIT Spring Split Ended GMBLERS ESPORTS, Winner 1 Zena Esports 0 Game 1 — 20–2 kills — Winner: GMBLERS ESPORTS
K-D
1-2
+/-
-1 below the average map
KP
50% below the average map
Maps
1 map
LoL T3 bo1 LIT Spring Split Ended GMBLERS ESPORTS, Winner 1 TITANS 0 Game 1 — 12–5 kills — Winner: GMBLERS ESPORTS
K-D
1-2
+/-
-1 below the average map
KP
58% below the average map
Maps
1 map
LoL T3 bo1 LIT Spring Split Ended GMBLERS ESPORTS, Winner 1 StoneHenge Esports 0 Game 1 — 22–8 kills — Winner: GMBLERS ESPORTS
K-D
5-2
+/-
+3 above the average map
KP
68%
Maps
1 map
LoL T3 bo1 LIT Spring Split Ended GMBLERS ESPORTS 0 EKO Esports, Winner 1 Game 1 — 4–19 kills — Winner: EKO Esports
K-D
0-5
+/-
-5 below the average map
KP
75% above the average map
Maps
1 map
LoL T3 bo1 LIT Spring Split Ended Aeterna Esports 0 GMBLERS ESPORTS, Winner 1 Game 1 — 12–30 kills — Winner: GMBLERS ESPORTS
K-D
8-4
+/-
+4 above the average map
KP
60% below the average map
Maps
1 map
Show more

Mario Achievements

Date Tournament Place Team
2026 League of Legends Italian Tournament Spring T3 2nd GMBLERS ESPORTS

Grand finals from the brackets; the prizes of every tournament are under Earnings.

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