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Whalers
GP: 4 | W: 2 | L: 2 | OTL: 0 | P: 4
GF: 14 | GA: 13 | PP%: 28.57% | PK%: 57.14%
DG: Christoph | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #62 vs Wolves

Centre de jeu
Whalers
2-2-0, 4pts
4
FINAL
5 Grisards
3-0-1, 7pts
Team Stats
W1SéquenceOTL1
1-1-0Fiche domicile2-0-0
1-1-0Fiche domicile1-0-1
2-2-0Derniers 10 matchs3-0-1
3.50Buts par match 4.25
3.25Buts contre par match 3.75
28.57%Pourcentage en avantage numérique41.67%
57.14%Pourcentage en désavantage numérique60.00%
Grisards
3-0-1, 7pts
4
FINAL
5 Whalers
2-2-0, 4pts
Team Stats
OTL1SéquenceW1
2-0-0Fiche domicile1-1-0
1-0-1Fiche domicile1-1-0
3-0-1Derniers 10 matchs2-2-0
4.25Buts par match 3.50
3.75Buts contre par match 3.25
41.67%Pourcentage en avantage numérique28.57%
60.00%Pourcentage en désavantage numérique57.14%
Whalers
2-2-0, 4pts
Jour 9
Wolves
1-2-1, 3pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile0-1-0
1-1-0Fiche visiteur1-1-1
2-2-010 derniers matchs1-2-1
3.50Buts par match 4.00
3.25Buts contre par match 4.00
28.57%Pourcentage en avantage numérique22.22%
57.14%Pourcentage en désavantage numérique68.18%
Whalers
2-2-0, 4pts
Jour 10
Moose
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceW1
1-1-0Fiche domicile0-1-0
1-1-0Fiche visiteur1-1-0
2-2-010 derniers matchs1-2-0
3.50Buts par match 2.00
3.25Buts contre par match 2.00
28.57%Pourcentage en avantage numérique21.43%
57.14%Pourcentage en désavantage numérique83.33%
Senators
0-1-1, 1pts
Jour 12
Whalers
2-2-0, 4pts
Statistiques d’équipe
L1SéquenceW1
0-1-1Fiche domicile1-1-0
0-0-0Fiche visiteur1-1-0
0-1-110 derniers matchs2-2-0
2.50Buts par match 3.50
4.50Buts contre par match 3.50
30.00%Pourcentage en avantage numérique28.57%
83.33%Pourcentage en désavantage numérique57.14%
Meneurs d'équipe
Buts
Sam Colangelo
5
Passes
Sam Colangelo
6
Points
Sam Colangelo
11
Plus/Moins
Sam Colangelo
3
Victoires
Michael DiPietro
1
Pourcentage d’arrêts
Michael DiPietro
0.887

Statistiques d’équipe
Buts pour
14
3.50 GFG
Tirs pour
141
35.25 Avg
Pourcentage en avantage numérique
28.6%
4 GF
Début de zone offensive
41.5%
Buts contre
13
3.25 GAA
Tirs contre
103
25.75 Avg
Pourcentage en désavantage numérique
57.1%%
6 GA
Début de la zone défensive
32.9%
Informations de l'équipe

Directeur généralChristoph
EntraîneurMarco Sturm
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,081
Billets de saison800


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 65
Espoirs16


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
1Adam RuzickaX100.00625093738277707164676766655664098002511,312,500$
2Justin SchutzXX100.0060606060607070606060606060537409800242771,750$
3Patrik PuistolaXX100.00606060606070706060606060605260098002311,312,500$
4Maxim SorkinXX100.0060606060607070606060606060506009800241682,500$
5Ryan JohansenX100.00695090808280707484687269657172098003215,500,000$
6Cole HuckinsXXX100.0060606060607070606060606060405509700211975,000$
7Connor LockhartX100.0060606060607070606060606060405509800211750,000$
8Sam ColangeloXXX100.00755095808079917461657670654055099012311,250,000$
9Dmitri BuchelnikovXX100.0060606060607070606060606060405509801212825,000$
10Julian LutzXX100.0060606060607070606060606060405509901202975,000$
11Veit OswaldXX100.0060606060607070606060606060405509801202650,000$
12Oliver Moore (R)X100.00606060606070706060606060604455098001931,500,000$
13Ty SmithX100.00605086736880846725706468655561098002411,750,000$
14John LudvigX100.00665089697979826425666272655563098002421,074,938$
15Artem GrushnikovX100.00606060606070706060606060604758095002121,023,750$
16Maksymilian SzuberX100.0060606060607070606060606060405509800221700,000$
17Mikhail Gulyayev (R)X100.00606060606070706060606060604655098001931,250,000$
18Norwin Panocha (R)X100.0060606060607070606060606060445509800193650,000$
Rayé
1Bogdan TrineyevXX97.0860606060607070606060606060475808900222787,500$
2Alexander Rykov (R)XX100.0060606060607070606060606060465509500193825,000$
3Alexander NikishinX100.00606060606070706060606060604958095002321,023,750$
4Artem GuryevX100.0060606060607070606060606060405509500211700,000$
MOYENNE D’ÉQUIPE99.866158676364727262586262626147590970
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
1Vadim Zherenko100.006070706060606060606060486009800231682,500$
2Dylan Garand97.006070706060606060606060515709800222866,250$
Rayé
1Amir Miftakhov100.006070706060606060606060526009700241682,500$
2Michael DiPietro76.8060707060606060606060605966087002511,157,625$
MOYENNE D’ÉQUIPE93.25607070606060606060606053610950
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marco Sturm6565656563681GER482600,000$


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
1Sam ColangeloWhalers (VAN)C/LW/RW45611355552461420.83%19223.23123110000081042.31%7800002.3700100120
2Justin SchutzWhalers (VAN)LW/RW423524064103720.00%17117.98112110000080040.00%542001.3900000000
3Ryan JohansenWhalers (VAN)C4404200372071420.00%18220.60101110000081058.62%5822000.9700000110
4Maxim SorkinWhalers (VAN)LW/RW40330006411130%36716.9301111000000000%200000.8900000000
5Artem GrushnikovWhalers (VAN)D4123210102391211.11%48120.3611211000008000%033000.7400011001
6Ty SmithWhalers (VAN)D4022-1175259340%39022.7101101000006000%031000.4400001000
7Adam RuzickaWhalers (VAN)C40221003510390%36917.3200000000090047.06%5132000.5800000000
8Patrik PuistolaWhalers (VAN)LW/RW4022280538360%16416.0601121000000000%101000.6200000010
9Dmitri BuchelnikovWhalers (VAN)LW/RW40110406510260%26716.83011310000000050.00%210000.3000000000
10Julian LutzWhalers (VAN)LW/RW4101010106354320.00%25413.58000000000100100.00%101000.3700200000
11Norwin PanochaWhalers (VAN)D41011404262616.67%38220.7100001000009000%011000.2400000000
12Oliver MooreWhalers (VAN)C3011-100200220%03010.0200000000000057.69%2600000.6700000000
13John LudvigWhalers (VAN)D4000-1001036260%39724.4100001000008000%01300000000000
14Bogdan TrineyevWhalers (VAN)LW/RW2000000424000%0189.200000000000000%00000000000000
15Artem GuryevWhalers (VAN)D1000000000000%000.500000000000000%00000000000000
16Cole HuckinsWhalers (VAN)C/LW/RW2000-100111000%0115.580000000000000%10000000000000
17Connor LockhartWhalers (VAN)C4000000221000%0205.1200000000000011.11%90000000000000
18Maksymilian SzuberWhalers (VAN)D4000340531220%16215.730000000000000%02000000000000
19Veit OswaldWhalers (VAN)LW/RW4000020934230%35313.370000000000000%00000000000000
20Mikhail GulyayevWhalers (VAN)D4000255132000%26015.100000000003000%00200000001000
Statistiques d’équipe totales ou en moyenne72142236147335826314143879.93%33118016.394812101070000722047.44%2342018000.6100313241
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
1Michael DiPietroWhalers (VAN)31100.8872.121700065333000030000
2Dylan GarandWhalers (VAN)21100.8606.18680075026000011000
Statistiques d’équipe totales ou en moyenne52200.8743.2623900131035900041000


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Adam RuzickaWhalers (VAN)C251999-05-11SVKNo215 Lbs6 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No---------------------------
Alexander NikishinWhalers (VAN)D232001-10-02RUSNo216 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No1,023,750$--------1,023,750$--------No--------
Alexander RykovWhalers (VAN)LW/RW192005-07-14RUSYes196 Lbs5 ft9NoNoProspectNoNo32025-08-21FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Amir MiftakhovWhalers (VAN)G242000-04-26RUSNo165 Lbs6 ft0NoNoN/ANoNo12024-08-31FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Artem GrushnikovWhalers (VAN)D212003-03-20RUSNo194 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No1,023,750$--------1,023,750$--------No--------
Artem GuryevWhalers (VAN)D212003-05-17RUSNo220 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Bogdan TrineyevWhalers (VAN)LW/RW222002-03-04RUSNo190 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$758,178$78,750$75,818$No787,500$--------787,500$--------No--------
Cole HuckinsWhalers (VAN)C/LW/RW212003-05-14CANNo201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Connor LockhartWhalers (VAN)C212003-01-21CANNo161 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Dmitri BuchelnikovWhalers (VAN)LW/RW212003-09-06RUSNo170 Lbs5 ft10NoNoProspectNoNo22024-08-29FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Dylan GarandWhalers (VAN)G222002-06-07CANNo172 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm866,250$833,996$86,625$83,400$No866,250$--------866,250$--------No--------
John LudvigWhalers (VAN)D242000-08-02CZENo210 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,074,938$1,034,914$107,494$103,492$No1,074,938$--------1,074,938$--------No--------
Julian LutzWhalers (VAN)LW/RW202004-02-29GERNo194 Lbs6 ft2NoNoProspectNoNo22024-08-29FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Justin SchutzWhalers (VAN)LW/RW242000-06-24GERNo181 Lbs5 ft11NoNoN/ANoNo22025-09-08FalseFalsePro & Farm771,750$743,015$77,175$74,301$No771,750$--------771,750$--------No--------
Maksymilian SzuberWhalers (VAN)D222002-08-25GERNo201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Maxim SorkinWhalers (VAN)LW/RW242000-04-19RUSNo187 Lbs6 ft2NoNoN/ANoNo12024-08-31FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Michael DiPietro (sur la masse salariale)Whalers (VAN)G251999-06-09CANNo201 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,157,625$1,114,522$115,762$111,452$No---------------------------
Mikhail GulyayevWhalers (VAN)D192005-04-26RUSYes183 Lbs5 ft9NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Norwin PanochaWhalers (VAN)D192005-02-24GERYes192 Lbs6 ft0NoNoProspectNoNo32025-08-21FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Oliver MooreWhalers (VAN)C192005-01-22USAYes194 Lbs5 ft9NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Patrik PuistolaWhalers (VAN)LW/RW232001-01-11FINNo174 Lbs6 ft0NoNoN/ANoNo12024-08-31FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No---------------------------
Ryan JohansenWhalers (VAN)C321992-07-31CANNo218 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm5,500,000$5,295,213$550,000$529,521$No---------------------------
Sam ColangeloWhalers (VAN)C/LW/RW232001-12-26USANo211 Lbs6 ft2NoNoProspectNoNo12024-08-29FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Ty SmithWhalers (VAN)D242000-03-24CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,750,000$1,684,840$175,000$168,484$No---------------------------
Vadim ZherenkoWhalers (VAN)G232001-03-15RUSNo196 Lbs6 ft4NoNoN/ANoNo12024-08-31FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Veit OswaldWhalers (VAN)LW/RW202004-08-31GERNo179 Lbs6 ft2NoNoProspectNoNo22024-08-29FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2622.35192 Lbs6 ft11.651,141,464$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin SchutzSam ColangeloPatrik Puistola28122
2Maxim SorkinRyan JohansenDmitri Buchelnikov28122
3Julian LutzAdam RuzickaVeit Oswald25122
4Cole HuckinsOliver MooreSam Colangelo19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigTy Smith28122
2Artem GrushnikovNorwin Panocha28122
3Maksymilian SzuberMikhail Gulyayev25122
4John LudvigTy Smith19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin SchutzSam ColangeloPatrik Puistola50122
2Maxim SorkinRyan JohansenDmitri Buchelnikov50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigTy Smith50122
2Artem GrushnikovNorwin Panocha50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloRyan Johansen50122
2Adam RuzickaJustin Schutz50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigTy Smith50122
2Artem GrushnikovNorwin Panocha50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Colangelo50122John LudvigTy Smith50122
2Ryan Johansen50122Artem GrushnikovNorwin Panocha50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam ColangeloRyan Johansen50122
2Adam RuzickaJustin Schutz50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1John LudvigTy Smith50122
2Artem GrushnikovNorwin Panocha50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin SchutzSam ColangeloPatrik PuistolaJohn LudvigTy Smith
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin SchutzSam ColangeloPatrik PuistolaJohn LudvigTy Smith
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Lockhart, Oliver Moore, Julian LutzConnor Lockhart, Oliver MooreJulian Lutz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maksymilian Szuber, Mikhail Gulyayev, Artem GrushnikovMaksymilian SzuberMikhail Gulyayev, Artem Grushnikov
Tirs de pénalité
Sam Colangelo, Ryan Johansen, Adam Ruzicka, Justin Schutz, Patrik Puistola
Gardien
#1 : Dylan Garand, #2 : Vadim Zherenko


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
TotalDomicileVisiteur
# 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
1Grisards20101000990100010005411010000045-120.50091423005261734246521622044388337.50%7442.86%0509751.55%367746.75%256041.67%844272388240
2Moose11000000312000000000001100000031221.00035800526136424652115421223133.33%30100.00%0509751.55%367746.75%256041.67%844272388240
3Norsemen1010000023-11010000023-10000000000000.000235005261324246521269822300.00%4250.00%0509751.55%367746.75%256041.67%844272388240
Total4120100014131201010007702110000076140.500142236005261141424652110333738214428.57%14657.14%0509751.55%367746.75%256041.67%844272388240
_Since Last GM Reset4120100014131201010007702110000076140.500142236005261141424652110333738214428.57%14657.14%0509751.55%367746.75%256041.67%844272388240
_Vs Conference4120100014131201010007702110000076140.500142236005261141424652110333738214428.57%14657.14%0509751.55%367746.75%256041.67%844272388240
_Vs Division21201000990101010005411110000045-141.00091423005261734246521622044388337.50%7442.86%0509751.55%367746.75%256041.67%844272388240

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
44W114223614110333738200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
41210001413
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
201100077
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000076
Derniers 10 matchs
WLOTWOTL SOWSOL
220000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14428.57%14657.14%0
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
42465215261
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
509751.55%367746.75%256041.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
844272388240


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
13Norsemen3Whalers2LSommaire du match
210Whalers3Moose1WSommaire du match
537Whalers4Grisards5LSommaire du match
751Grisards4Whalers5WXSommaire du match
962Whalers-Wolves-
1073Whalers-Moose-
1288Senators-Whalers-
15110Whalers-Phantoms-
17121Rams-Whalers-
19141Whalers-Americans-
21155Senators-Whalers-
24177Whalers-Wolves-
26187Norsemen-Whalers-
29209Rams-Whalers-
34238Phantoms-Whalers-
37260Whalers-Admirals-
39272Wolves-Whalers-
42296Whalers-Rams-
44305Mountaineers-Whalers-
46317Whalers-Moose-
48334Penguins-Whalers-
51360Blossom Bytes-Whalers-
53374Whalers-Grisards-
55387Whalers-Octopus-
56398Wolves-Whalers-
60425Bears-Whalers-
62439Whalers-Wolves-
64455Silver Knights-Whalers-
68479Whalers-Penguins-
70491Wolf Pack-Whalers-
73509Whalers-Grisards-
74521Moose-Whalers-
78548Norsemen-Whalers-
80563Whalers-Wolf Pack-
82574Whalers-Gorillas-
84586Moose-Whalers-
87612Americans-Whalers-
89622Whalers-Eagles-
91637Whalers-Crunch-
92650Titans-Whalers-
94670Whalers-Bears-
96682Penguins-Whalers-
100709Redhawks-Whalers-
104739Wolf Pack-Whalers-
106754Whalers-Phantoms-
109771Phantoms-Whalers-
111786Whalers-Bulldogs-
114803Griffins-Whalers-
115819Whalers-Americans-
117834Bills-Whalers-
119841Whalers-Rams-
122866Phantoms-Whalers-
124882Whalers-Americans-
126895Whalers-White Wolves-
127904Rams-Whalers-
130930Whalers-Gulls-
131936Rocket-Whalers-
134960Whalers-Bears-
135965Americans-Whalers-
137979Whalers-Saints-
140998Grisards-Whalers-
1411011Whalers-Senators-
1441030Grisards-Whalers-
1461046Whalers-Norsemen-
1471051Whalers-Titans-
1491065Senators-Whalers-
1501077Whalers-Titans-
1531098Reign-Whalers-
1561122Whalers-Admirals-
1571129Blood Miners-Whalers-
1611155Whalers-Bills-
1621159Whalers-Blossom Bytes-
1631166Roadrunners-Whalers-
1661190Rocket-Whalers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681200Whalers-Moose-
1721223Gulls-Whalers-
1741238Whalers-Blossom Bytes-
1761252Whalers-Senators-
1771256Whalers-Norsemen-
1781264Whalers-Eagles-
1811279Admirals-Whalers-
1851299Gulls-Whalers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3515
Assistance4,3449,817
Assistance PCT86.88%89.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 7081 - 88.51% 179,577$359,154$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
129,322$ 2,852,044$ 2,852,044$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
18,362$ 129,322$ 25 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,003,503$ 181 18,362$ 3,323,522$




Whalers 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

Whalers 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

Whalers 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

Whalers 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

Whalers 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