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Vandals
GP: 39 | W: 12 | L: 25 | OTL: 2 | P: 26
GF: 72 | GA: 115 | PP%: 13.77% | PK%: 84.56%
DG: Pierre-Alexandre Racine | Morale : 90 | Moyenne d’équipe : 57
Prochains matchs #614 vs Marmots

Centre de jeu
Vandals
12-25-2, 26pts
1
2 Twins
17-17-5, 39pts
Team Stats
L4SéquenceW1
5-15-0Fiche domicile11-6-2
7-10-2Fiche domicile6-11-3
3-7-0Derniers 10 matchs5-4-1
1.85Buts par match 2.67
2.95Buts contre par match 3.03
13.77%Pourcentage en avantage numérique12.72%
84.56%Pourcentage en désavantage numérique86.05%
Hunters
22-15-4, 48pts
4
1 Vandals
12-25-2, 26pts
Team Stats
W1SéquenceL4
11-5-3Fiche domicile5-15-0
11-10-1Fiche domicile7-10-2
4-6-0Derniers 10 matchs3-7-0
3.56Buts par match 1.85
3.24Buts contre par match 2.95
16.15%Pourcentage en avantage numérique13.77%
86.61%Pourcentage en désavantage numérique84.56%
Vandals
12-25-2, 26pts
Jour 49
Marmots
21-18-1, 43pts
Statistiques d’équipe
L4SéquenceL1
5-15-0Fiche domicile15-4-0
7-10-2Fiche visiteur6-14-1
3-7-010 derniers matchs5-5-0
1.85Buts par match 2.38
2.95Buts contre par match 2.38
13.77%Pourcentage en avantage numérique20.73%
84.56%Pourcentage en désavantage numérique89.12%
Smirnoff Ice
16-21-3, 35pts
Jour 50
Vandals
12-25-2, 26pts
Statistiques d’équipe
W1SéquenceL4
7-12-1Fiche domicile5-15-0
9-9-2Fiche visiteur7-10-2
5-5-010 derniers matchs3-7-0
1.98Buts par match 1.85
2.85Buts contre par match 1.85
11.76%Pourcentage en avantage numérique13.77%
84.25%Pourcentage en désavantage numérique84.56%
Vandals
12-25-2, 26pts
Jour 52
Husky
15-19-5, 35pts
Statistiques d’équipe
L4SéquenceOTL1
5-15-0Fiche domicile8-9-3
7-10-2Fiche visiteur7-10-2
3-7-010 derniers matchs5-2-3
1.85Buts par match 2.69
2.95Buts contre par match 2.69
13.77%Pourcentage en avantage numérique17.42%
84.56%Pourcentage en désavantage numérique82.56%
Meneurs d'équipe
Trent FredericButs
Trent Frederic
10
Jayden StrublePasses
Jayden Struble
13
Trent FredericPoints
Trent Frederic
20
Nico SturmPlus/Moins
Nico Sturm
-1
Marcus HogbergVictoires
Marcus Hogberg
9
Marcus HogbergPourcentage d’arrêts
Marcus Hogberg
0.908

Statistiques d’équipe
Buts pour
72
1.85 GFG
Tirs pour
827
21.21 Avg
Pourcentage en avantage numérique
13.8%
23 GF
Début de zone offensive
37.0%
Buts contre
115
2.95 GAA
Tirs contre
1234
31.64 Avg
Pourcentage en désavantage numérique
84.6%%
23 GA
Début de la zone défensive
44.1%
Informations de l'équipe

Directeur généralPierre-Alexandre Racine
EntraîneurJohn Tortorella
DivisionDivision Ouest
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,975
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite Contrat45 / 50
Espoirs33


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Riley Tufte (R)X96.00544590729150404530405056508774090540271775,000$
2Jaret Anderson-DolanX96.00724590766250404730445055508572090540262775,000$
3Egor Sokolov (R)X98.00504595746050404530405055508269090520253775,000$
4Sampo Ranta (R)X97.005045957660504045304050555082690905202511,100,000$
5Jayden StrubleX100.00975170806362685530565479678372090670242900,000$
6Derek ForbortX99.007354727775716554305455756693840906703341,500,000$
7Robert BortuzzoX100.00705165767050404930485074509684090620363900,000$
8Erik BrannstromX100.005748788448624059305563696885740906202651,000,000$
9Ryan Merkley (R)X100.00504595786050404530405055508370090560253775,000$
10Ryan Ufko (R)X100.00504595794665404530405059508171090560225800,000$
11Nicolas Beaudin (R)X100.00504595804350404530405055508471090550252775,000$
12Calen AddisonX100.00504568844550404530405055508475090550254775,000$
13Samuel Knazko (R)X99.00504595766050404530405055508070090550235800,000$
Rayé
1Nico SturmX100.008551867775527554894959736689760906603041,700,000$
2Pontus HolmbergX100.006148848065638256795458736786760906502621,400,000$
3Trent FredericX98.009957747781697056745061606787780906502711,000,000$
4Raphael Lavoie (R)X100.00644592748050404530405055508471090540252775,000$
5Aleksi Heponiemi (R)X93.00504595826050404530405055508471090530263775,000$
6Shane Bowers (R)X100.00564595786150404530405058508572090530265800,000$
7Tyce ThompsonX100.00504595796050404530405055508370090520263775,000$
8Alex Barre-BouletX100.00504592794951404530405058508774090520284775,000$
9Jonathan Gruden (R)X100.00504588795150404530405055508370090520255800,000$
10Dillon DubeX100.00504590805650404530405055508573090520271775,000$
MOYENNE D’ÉQUIPE98.9660478778625447483744526154857309057
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Marcus Hogberg97.0070506397707070707070809080090630302800,000$
2Jesper Wallstedt (R)100.00705060917070707070707082690906202221,200,000$
Rayé
1Jack LaFontaine (R)100.0070404088656565656565658471090580275800,000$
2Alexei Melnichuk (R)100.0070404085656565656565658269090570271900,000$
MOYENNE D’ÉQUIPE99.257045519068686868686870857209060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella83727691996938USA6852,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Trent FredericVandals (SEA)C34101020-137351349683255012.05%976722.58628221190112790163.50%96700000.5203100332
2Pontus HolmbergVandals (SEA)RW2371118-5007537524549.33%1152322.7407713901013732069.39%4900100.6933000142
3Jayden StrubleVandals (SEA)D3931316-13740152536816504.41%4481620.9526851141000192100%000000.3900000125
4Erik BrannstromVandals (SEA)D3651015-176026626330577.94%5870419.57459491250111103110%000000.4311000220
5Derek ForbortVandals (SEA)D3941014-1525529527419415.41%5686922.293255014300011091125.00%400000.3200010122
6Ryan UfkoVandals (SEA)D375712-1612038173041616.67%3560316.31011825000033010%500000.4000000133
7Robert BortuzzoVandals (SEA)D392911-20620104383418305.88%4074419.1025730128000087000%000000.3000000001
8Ryan MerkleyVandals (SEA)D392911-1220034252810187.14%3762315.98022121000048010%300000.3500000121
9Calen AddisonVandals (SEA)D36279-91206151409225.00%2057215.90000315000001035.44%20600000.3100000120
10Nicolas BeaudinVandals (SEA)D39268-620823264197.69%1150612.991342290000470031.33%8300000.3200000000
11Samuel KnazkoVandals (SEA)D35347-16602023378128.11%1661917.70101988000030141.30%4600000.2300000030
12Raphael LavoieVandals (SEA)C28246-71003639344185.88%752718.840227660000470037.55%46600000.2301000101
13Aleksi HeponiemiVandals (SEA)RW39325-180017523916287.69%574219.0400081180000400032.14%11200000.1301000200
14Sampo RantaVandals (SEA)RW29415-72010262832314.29%448716.80101329000071034.72%7200000.2100000100
15Riley TufteVandals (SEA)LW31314-10005132351213.04%662420.1510161080000570037.18%7800000.1313000101
16Mavrik BourqueSeattle KrakenC7213-520623222119.09%315321.980115210000170159.86%14700000.3900000001
17Alex Barre-BouletVandals (SEA)RW7112-2009663216.67%012217.4801106000001017.65%1700000.3300000000
18Egor SokolovVandals (SEA)RW14112-112041112288.33%126218.76000428000160041.67%2400000.1500000000
19Vasiliy PonomarevSeattle KrakenC8112-32071818495.56%514818.58000190000130040.36%16600000.2700000001
20Jaret Anderson-DolanVandals (SEA)C19022-6120422819690%137519.760114490000370042.81%31300000.1100000001
21Shane BowersVandals (SEA)C2000-120131320%03718.7400003000000042.86%70000000000000
22Nico SturmVandals (SEA)C1000-140051120%01919.1200001000000077.27%220000000000000
Statistiques d’équipe totales ou en moyenne58162110172-213328107507177612164938.15%3691085318.68213859276137212399108748.58%278700100.32512110162321
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Marcus HogbergVandals (SEA)2991820.9082.71175141798570010.83362910633
2Jesper WallstedtVandals (SEA)103700.9073.4860400353760000.83361029223
Statistiques d’équipe totales ou en moyenne39122520.9082.902356411141233001123939856


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aleksi HeponiemiVandals (SEA)RW261999-01-09FINYes155 Lbs5 ft10NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Alex Barre-BouletVandals (SEA)RW281997-05-21CANNo178 Lbs5 ft10NoNoN/ANoNo42026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien NHL
Alexei MelnichukVandals (SEA)G271998-06-29RUSYes190 Lbs6 ft2NoNoAssign ManuallyNoNo12026-03-08FalseFalsePro & Farm900,000$500,000$0$0$No---------------------------
Calen AddisonVandals (SEA)D252000-04-11CANNo173 Lbs5 ft11NoNoN/ANoNo42026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien NHL
Derek ForbortVandals (SEA)D331992-03-04USANo216 Lbs6 ft4NoNoTrade2024-12-13NoNo42026-03-08FalseFalsePro & Farm1,500,000$833,333$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------Lien NHL
Dillon DubeVandals (SEA)C271998-07-20CANNo185 Lbs5 ft11NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No---------------------------Lien NHL
Egor SokolovVandals (SEA)RW252000-06-07RUSYes222 Lbs6 ft3NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Erik BrannstromVandals (SEA)D261999-09-02SWENo185 Lbs5 ft10NoNoAssign ManuallyNoNo52026-03-20FalseFalsePro & Farm1,000,000$555,556$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$-----1,000,000$1,000,000$1,000,000$1,000,000$-----NoNoNoNo-----Lien NHL
Jack LaFontaineVandals (SEA)G271998-01-06CANYes204 Lbs6 ft2NoNoAssign ManuallyNoNo52026-03-20FalseFalsePro & Farm800,000$444,444$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Jaret Anderson-DolanVandals (SEA)C261999-09-12CANNo200 Lbs5 ft11NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No775,000$--------775,000$--------No--------Lien NHL
Jayden StrubleVandals (SEA)D242001-09-08USANo202 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm900,000$500,000$0$0$No900,000$--------900,000$--------No--------Lien NHL
Jesper WallstedtVandals (SEA)G222002-11-14SWEYes214 Lbs6 ft3NoNoTrade2026-03-20NoNo22026-03-08FalseFalsePro & Farm1,200,000$666,667$0$0$No1,200,000$--------1,200,000$--------No--------Lien NHL
Jonathan GrudenVandals (SEA)C252000-05-04USAYes172 Lbs6 ft0NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$444,444$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Marcus HogbergVandals (SEA)G301994-11-25SWENo222 Lbs6 ft5NoNoAssign ManuallyNoNo22026-03-20FalseFalsePro & Farm800,000$444,444$0$0$No800,000$--------800,000$--------No--------Lien NHL
Nico SturmVandals (SEA)C301995-05-03GERNo209 Lbs6 ft3NoNoTrade2026-01-09NoNo42026-03-08FalseFalsePro & Farm1,700,000$944,444$0$0$No1,700,000$1,700,000$1,700,000$------1,700,000$1,700,000$1,700,000$------NoNoNo------Lien NHL
Nicolas BeaudinVandals (SEA)D251999-10-07CANYes168 Lbs5 ft11NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No775,000$--------775,000$--------No--------
Pontus HolmbergVandals (SEA)RW261999-03-09SWENo188 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm1,400,000$777,778$0$0$No1,400,000$--------1,400,000$--------No--------Lien NHL
Raphael LavoieVandals (SEA)C252000-09-25CANYes215 Lbs6 ft4NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No775,000$--------775,000$--------No--------Lien NHL
Riley TufteVandals (SEA)LW271998-04-10USAYes230 Lbs6 ft6NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No---------------------------Lien NHL
Robert BortuzzoVandals (SEA)D361989-03-18CANNo216 Lbs6 ft4NoNoTrade2025-03-26NoNo32026-03-08FalseFalsePro & Farm900,000$500,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien NHL
Ryan MerkleyVandals (SEA)D252000-08-14CANYes186 Lbs6 ft0NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Ryan UfkoVandals (SEA)D222003-05-07USAYes174 Lbs6 ft0NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$444,444$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Sampo RantaVandals (SEA)RW252000-05-31FINYes195 Lbs6 ft2NoNoAssign ManuallyNoNo12026-03-08FalseFalsePro & Farm1,100,000$611,111$0$0$No---------------------------
Samuel KnazkoVandals (SEA)D232002-08-07SLKYes198 Lbs6 ft1NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$444,444$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Shane BowersVandals (SEA)C261999-07-30CANYes186 Lbs6 ft2NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$444,444$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Trent FredericVandals (SEA)C271998-02-11USANo220 Lbs6 ft3NoNoTrade2025-03-24NoNo12026-03-08FalseFalsePro & Farm1,000,000$555,556$0$0$No---------------------------Lien NHL
Tyce ThompsonVandals (SEA)C261999-07-12USANo175 Lbs6 ft1NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$430,556$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.44195 Lbs6 ft12.96923,148$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley Tufte35122
2Samuel KnazkoJaret Anderson-DolanSampo Ranta30122
3Nicolas BeaudinCalen AddisonEgor Sokolov25122
4Jaret Anderson-DolanRiley Tufte10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derek ForbortJayden Struble35122
2Erik BrannstromRobert Bortuzzo30122
3Ryan UfkoRyan Merkley25122
4Samuel KnazkoCalen Addison10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley Tufte55122
2Samuel KnazkoJaret Anderson-DolanSampo Ranta45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derek ForbortJayden Struble55122
2Erik BrannstromRobert Bortuzzo45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jaret Anderson-Dolan55122
2Riley Tufte45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derek ForbortJayden Struble55122
2Erik BrannstromRobert Bortuzzo45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
155122Derek ForbortJayden Struble55122
2Jaret Anderson-Dolan45122Erik BrannstromRobert Bortuzzo45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jaret Anderson-Dolan55122
2Riley Tufte45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derek ForbortJayden Struble55122
2Erik BrannstromRobert Bortuzzo45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteDerek ForbortJayden Struble
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteDerek ForbortJayden Struble
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Egor Sokolov, Sampo Ranta, Egor Sokolov, Sampo Ranta
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Ufko, Ryan Merkley, Nicolas BeaudinRyan UfkoRyan Merkley, Nicolas Beaudin
Tirs de pénalité
, Jaret Anderson-Dolan, Riley Tufte, , Sampo Ranta
Gardien
#1 : Marcus Hogberg, #2 : Jesper Wallstedt


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicile Visiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT RI
1Chiwawa30300000410-61010000023-12020000027-500.00047111023202654728426127816742126543133.33%13284.62%0543111248.83%658132649.62%28456650.18%931634932277497254
2Farmers1010000013-2000000000001010000013-200.0001230023202652928426127816195422400.00%20100.00%0543111248.83%658132649.62%28456650.18%931634932277497254
3Goons211000003211010000012-11100000020220.5003580123202652728426127816381122217228.57%10190.00%0543111248.83%658132649.62%28456650.18%931634932277497254
4Grizzlies2010010035-2000000000002010010035-210.25036900232026556284261278168022254115320.00%100100.00%0543111248.83%658132649.62%28456650.18%931634932277497254
5Hunters30300000411-72020000027-51010000024-200.000481200232026561284261278161023722601715.88%11190.91%0543111248.83%658132649.62%28456650.18%931634932277497254
6Igloos3210000079-22110000037-41100000042240.6677121900232026578284261278169925327619210.53%16381.25%0543111248.83%658132649.62%28456650.18%931634932277497254
7Marlies31100010880110000003212010001056-140.66781422002320265722842612781610427266012216.67%10190.00%0543111248.83%658132649.62%28456650.18%931634932277497254
8Marmots1010000023-11010000023-10000000000000.00024600232026514284261278161851221000%6266.67%0543111248.83%658132649.62%28456650.18%931634932277497254
9Predateurs10000010431000000000001000001043121.000448002320265222842612781625118217228.57%4175.00%0543111248.83%658132649.62%28456650.18%931634932277497254
10Raptors10000010211000000000001000001021121.000224002320265172842612781629121017300.00%50100.00%1543111248.83%658132649.62%28456650.18%931634932277497254
11Rockets3110010047-32110000035-21000010012-130.500471100232026576284261278161043520811700.00%9188.89%0543111248.83%658132649.62%28456650.18%931634932277497254
12Scorpions11000000321110000003210000000000021.0003580023202652328426127816401212165240.00%5260.00%0543111248.83%658132649.62%28456650.18%931634932277497254
13Smirnoff Ice2020000002-22020000002-20000000000000.000000002320265412842612781636151636600.00%8187.50%0543111248.83%658132649.62%28456650.18%931634932277497254
14Spartans1010000034-11010000034-10000000000000.00035800232026522284261278163686266233.33%20100.00%0543111248.83%658132649.62%28456650.18%931634932277497254
15Supreme2110000048-41010000027-51100000021120.50046100023202654128426127816793716409111.11%8450.00%0543111248.83%658132649.62%28456650.18%931634932277497254
16Thugs1010000013-21010000013-20000000000000.00012300232026523284261278163110415500.00%2150.00%0543111248.83%658132649.62%28456650.18%931634932277497254
17TigersCats20200000311-81010000015-41010000026-400.0003690023202653228426127816742227406116.67%7271.43%0543111248.83%658132649.62%28456650.18%931634932277497254
18Twins2020000026-41010000014-31010000012-100.000246002320265272842612781654101632400.00%6183.33%0543111248.83%658132649.62%28456650.18%931634932277497254
19Vipers1010000024-2000000000001010000024-200.00024600232026538284261278162966248112.50%30100.00%0543111248.83%658132649.62%28456650.18%931634932277497254
20Wolves2110000056-11010000025-31100000031220.50057120023202653828426127816701912366116.67%50100.00%0543111248.83%658132649.62%28456650.18%931634932277497254
21Xpress21100000770110000005321010000024-220.500711180023202654328426127816932423578225.00%70100.00%0543111248.83%658132649.62%28456650.18%931634932277497254
Total399250023072115-4320515000003464-3019410002303851-13260.333721211931123202658272842612781612343743457961672313.77%1492384.56%1543111248.83%658132649.62%28456650.18%931634932277497254
_Since Last GM Reset399250023072115-4320515000003464-3019410002303851-13260.333721211931123202658272842612781612343743457961672313.77%1492384.56%1543111248.83%658132649.62%28456650.18%931634932277497254
_Vs Conference15310000203047-17716000001428-14824000201619-3100.33330467610232026529828426127816467146116281561017.86%531179.25%1543111248.83%658132649.62%28456650.18%931634932277497254
_Vs Division614000101319-62020000039-6412000101010040.33313193200232026512528426127816178464211325416.00%18288.89%0543111248.83%658132649.62%28456650.18%931634932277497254

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3926L472121193827123437434579611
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
39925023072115
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2051500003464
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1941002303851
Derniers 10 matchs
WLOTWOTL SOWSOL
170020
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1672313.77%1492384.56%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
284261278162320265
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
543111248.83%658132649.62%28456650.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
931634932277497254


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
15Smirnoff Ice1Vandals0LSommaire du match
229Vandals2Supreme1WSommaire du match
437Rockets2Vandals3WSommaire du match
547Vandals0Chiwawa3LSommaire du match
673Smirnoff Ice1Vandals0LSommaire du match
895TigersCats5Vandals1LSommaire du match
9100Vandals2Xpress4LSommaire du match
11129Igloos1Vandals2WSommaire du match
12133Vandals2Marlies4LSommaire du match
14161Chiwawa3Vandals2LSommaire du match
15174Vandals2TigersCats6LSommaire du match
16189Spartans4Vandals3LSommaire du match
18212Vandals1Farmers3LSommaire du match
19222Hunters3Vandals1LSommaire du match
20241Vandals1Grizzlies2LSommaire du match
21251Goons2Vandals1LSommaire du match
23266Vandals3Wolves1WSommaire du match
24281Vandals4Igloos2WSommaire du match
25295Wolves5Vandals2LSommaire du match
26315Rockets3Vandals0LSommaire du match
28337Vandals1Rockets2LXSommaire du match
29349Vandals2Goons0WSommaire du match
30362Twins4Vandals1LSommaire du match
31377Thugs3Vandals1LSommaire du match
33398Vandals2Grizzlies3LXSommaire du match
34404Scorpions2Vandals3WSommaire du match
35421Vandals3Marlies2WXXSommaire du match
36436Igloos6Vandals1LSommaire du match
37457Marlies2Vandals3WSommaire du match
39471Vandals2Chiwawa4LSommaire du match
40489Vandals4Predateurs3WXXSommaire du match
41501Supreme7Vandals2LSommaire du match
42518Vandals2Hunters4LSommaire du match
43530Xpress3Vandals5WSommaire du match
44539Vandals2Raptors1WXXSommaire du match
45558Vandals2Vipers4LSommaire du match
46570Marmots3Vandals2LSommaire du match
47585Vandals1Twins2LSommaire du match
48603Hunters4Vandals1LSommaire du match
49614Vandals-Marmots-
50634Smirnoff Ice-Vandals-
52653Vandals-Husky-
53657Vandals-Scorpions-
54673TigersCats-Vandals-
55694Spartans-Vandals-
56708Vandals-Xpress-
57724Vandals-Barracudas-
58731Vandals-Bayou-
59744Barracudas-Vandals-
60762Marmots-Vandals-
62788Chiwawa-Vandals-
63802Vandals-Sags-
64810Vandals-Thugs-
65827Raptors-Vandals-
67842Vandals-Vipers-
68856Snowbirds-Vandals-
69871Vandals-Spartans-
70887Sags-Vandals-
71895Vandals-CoolFm-
73914Bandits-Vandals-
74931Vandals-TigersCats-
76947Vandals-Husky-
77955Vandals-Smirnoff Ice-
78967Husky-Vandals-
79988Warriors-Vandals-
80998Vandals-Snowbirds-
811015Goons-Vandals-
831038Vandals-CoolFm-
841049Outlaws-Vandals-
861070Grizzlies-Vandals-
891097Farmers-Vandals-
911123Predateurs-Vandals-
921134Vandals-Outlaws-
941154CoolFm-Vandals-
961175Vandals-Bandits-
971183Bayou-Vandals-
981196Vandals-Warriors-
1011216Vipers-Vandals-
1021232Vandals-Bandits-
1061246Vipers-Vandals-
1071259Vandals-Farmers-
1081269Vandals-Warriors-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance39,62519,869
Assistance PCT99.06%99.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
21 2975 - 99.16% 118,943$2,378,856$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,859,370$ 2,492,500$ 2,492,500$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,067,997$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,497,799$ 60 41,597$ 2,495,820$




Vandals Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Vandals Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Vandals Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Vandals Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Vandals Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA