Turnyras

Thunderpick World Championship 2025 Closed Qualifiers

2025-09-09 – 2025-09-11 · Rungtynės: 12 · komandos: 16

12Rezultatai
0Artimiausios
16Komandos
1Etapai

Vietos

Imperial EsportsČempionasLGCYAntroji vietasaadzinTurnyro MVP · 1.44

Turnyro žemėlapiai

ŽemėlapisSužaisti žemėlapiaiPasirinkimaiDraudimaiCT raundų pergalės
Train68470%
Nuke57560%
Ancient55755%
Dust245738%
Inferno44841%
Overpass33960%
Mirage24852%

Etapai

Thunderpick World Championship 2025 Closed Qualifiers Rungtynės: 12

08:15Baigta
Bo3
ECSTATIC
PV
Thunderpick World Championship 2025 Closed Qualifiers
12
12:15Baigta
Bo3
SAW
BIG
Thunderpick World Championship 2025 Closed Qualifiers
12
16:10Baigta
Bo3
LGCY
JiJieHao
Thunderpick World Championship 2025 Closed Qualifiers
10
17:57Baigta
Bo3
BetBoom Team
9z
Thunderpick World Championship 2025 Closed Qualifiers
12
08:00Baigta
Bo3
ENCE
Nemiga Gaming
Thunderpick World Championship 2025 Closed Qualifiers
12
12:05Baigta
Bo3
OG
M80
Thunderpick World Championship 2025 Closed Qualifiers
20
15:05Baigta
Bo3
Ninjas in Pyjamas
Team Venom
Thunderpick World Championship 2025 Closed Qualifiers
02
17:50Baigta
Bo3
TNL
Imperial Esports
Thunderpick World Championship 2025 Closed Qualifiers
02
08:00Baigta
Bo3
Nemiga Gaming
Team Venom
Thunderpick World Championship 2025 Closed Qualifiers
02
11:00Baigta
Bo3
PV
9z
Thunderpick World Championship 2025 Closed Qualifiers
02
14:00Baigta
Bo3
BIG
OG
Thunderpick World Championship 2025 Closed Qualifiers
12
17:00Baigta
Bo3
LGCY
Imperial Esports
Thunderpick World Championship 2025 Closed Qualifiers
02

Komandos

KomandaSerijų balansas
9z2–0
Imperial Esports2–0
OG2–0
Team Venom2–0
BIG1–1
Nemiga Gaming1–1
PV1–1
JiJieHao0–0
BetBoom Team0–1
ECSTATIC0–1
ENCE0–1
LGCY0–1
M800–1
Ninjas in Pyjamas0–1
SAW0–1
TNL0–1

Statistikos lyderiai

ŽaidėjasŽemėlapiaiReitingasADR
saadzin LGCY31.4478.0
Sobol Team Venom41.3489.1
Dawy TNL21.3492.8
Magnojez LGCY41.31102.3
HUASOPEEK JiJieHao61.2891.0
Chr1zN OG51.2286.7
levi JiJieHao61.2183.6
Jame PV51.1779.4
Lake M8021.1794.6
Krimbo BIG61.1578.7

ADR ir KAST apskaičiuojame patys iš raundų duomenų. Reitingą apskaičiuojame patys iš raundų duomenų (1.0 formulė).