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Vyctor Diego Piccardi

Vyctor (Diego Piccardi, Italy) plays League of Legends for aNc Legends.

Maps
20
Career
Kill participation
63%
Career
Kills − deaths
+1
Career

Team History

  1. aNc Legends current

    1 Jan 2025 – present 1 y 8 m

    W-L 3-14

Vyctor Statistics

Kill participation
63%
share of the team’s kills
GPM
392
gold per minute
Creep score
5172
+/-
+1 above the average map
kills minus deaths
Maps
20
K-D
62-61
kills and deaths
Assists
70

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. L
  9. L
  10. L

Champions · career

Champion Played W-L Win rate Kill participation
Aurora 4 1-3 25% 46%
Hwei 4 0-4 0% 65%
Taliyah 2 0-2 0% 69%
Akali 1 0-1 0% 75%
Annie 1 0-1 0% 100%
Azir 1 0-1 0% 43%
Ezreal 1 0-1 0% 17%
Galio 1 1-0 100% 65%
Orianna 1 0-1 0% 86%
Smolder 1 0-1 0% 92%
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Vyctor Match Results

Calendar

September 2026

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

Times in GMT+00:00
LoL T2 bo3 EMEA Last Chance Qualifier Ended aNc Legends 0 Nightbirds, Winner 2 Game 1 — 6–17 kills — Winner: Nightbirds; Game 2 — 18–29 kills — Winner: Nightbirds
K-D
3-2
+/-
+1 above the average map
KP
45% below the average map
Maps
2 maps
LoL T3 bo5 LIT Playoffs Ended Zena Esports, Winner 3 aNc Legends 1 Game 1 — 22–7 kills — Winner: Zena Esports; Game 2 — 25–12 kills — Winner: Zena Esports; Game 3 — 11–18 kills — Winner: aNc Legends; Game 4 — 29–12 kills — Winner: Zena Esports
K-D
16-16
+/-
+0
KP
73% above the average map
Maps
4 maps
LoL T3 bo5 LIT Playoffs Ended aNc Legends, Winner 3 Axolotl 1 Game 1 — —; Game 2 — —; Game 3 — —; Game 4 — —
LoL T3 bo5 LIT Playoffs Ended aNc Legends 0 Colossal Gaming, Winner 3 Game 1 — 8–16 kills — Winner: Colossal Gaming; Game 2 — 15–27 kills — Winner: Colossal Gaming; Game 3 — 6–23 kills — Winner: Colossal Gaming
K-D
12-11
+/-
+1 above the average map
KP
63%
Maps
3 maps
LoL T3 bo3 LIT Playoffs Ended Axolotl 0 aNc Legends, Winner 2 Game 1 — —; Game 2 — —
LoL T3 bo1 LIT Group Stage Ended aNc Legends 0 GMBLERS ESPORTS, Winner 1 Game 1 — 7–18 kills — Winner: GMBLERS ESPORTS
K-D
2-4
+/-
-2 below the average map
KP
57% below the average map
Maps
1 map
LoL T3 bo1 LIT Group Stage Ended aNc Legends 0 Colossal Gaming, Winner 1 Game 1 — 2–23 kills — Winner: Colossal Gaming
K-D
0-4
+/-
-4 below the average map
KP
100% above the average map
Maps
1 map
LoL T3 bo1 LIT Group Stage Ended Axolotl, Winner 1 aNc Legends 0 Game 1 — —
LoL T3 bo1 LIT Group Stage Ended Zena Esports, Winner 1 aNc Legends 0 Game 1 — 18–14 kills — Winner: Zena Esports
K-D
4-3
+/-
+1 above the average map
KP
43% below the average map
Maps
1 map
LoL T3 bo1 LIT Group Stage Ended EKO Esports 0 aNc Legends, Winner 1 Game 1 — 7–23 kills — Winner: aNc Legends
K-D
5-1
+/-
+4 above the average map
KP
65%
Maps
1 map
LoL T3 bo5 LIT Playoffs Ended Zena Esports, Winner 3 aNc Legends 0 Game 1 — 21–11 kills — Winner: Zena Esports; Game 2 — 22–10 kills — Winner: Zena Esports; Game 3 — 20–23 kills — Winner: Zena Esports
K-D
15-9
+/-
+6 above the average map
KP
68% above the average map
Maps
3 maps
LoL T3 bo3 LIT Playoffs Ended Axolotl, Winner 2 aNc Legends 0 Game 1 — —; Game 2 — —
LoL T3 bo1 LIT Group Stage Ended Zena Esports, Winner 1 aNc Legends 0 Game 1 — 15–7 kills — Winner: Zena Esports
K-D
0-1
+/-
-1 below the average map
KP
57% below the average map
Maps
1 map
LoL T3 bo1 LIT Group Stage Ended aNc Legends 0 GMBLERS ESPORTS, Winner 1 Game 1 — 4–20 kills — Winner: GMBLERS ESPORTS
K-D
2-5
+/-
-3 below the average map
KP
75% above the average map
Maps
1 map
LoL T3 bo1 LIT Group Stage Ended aNc Legends 0 Colossal Gaming, Winner 1 Game 1 — 5–15 kills — Winner: Colossal Gaming
K-D
2-2
+/-
+0
KP
60% below the average map
Maps
1 map
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ANC ENSI.Score Chart

10 Matches
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