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Grisards
GP: 4 | W: 3 | L: 0 | OTL: 1 | P: 7
GF: 17 | GA: 15 | PP%: 41.67% | PK%: 60.00%
DG: Sebastian | Morale : 97 | Moyenne d’équipe : N/A
Prochains matchs #66 vs Americans

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%
Grisards
3-0-1, 7pts
Jour 9
Americans
2-1-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
2-0-0Fiche domicile1-1-0
1-0-1Fiche visiteur1-0-0
3-0-110 derniers matchs2-1-0
4.25Buts par match 4.67
3.75Buts contre par match 4.67
41.67%Pourcentage en avantage numérique41.67%
60.00%Pourcentage en désavantage numérique76.47%
Wolves
1-2-1, 3pts
Jour 11
Grisards
3-0-1, 7pts
Statistiques d’équipe
OTL1SéquenceOTL1
0-1-0Fiche domicile2-0-0
1-1-1Fiche visiteur1-0-1
1-2-110 derniers matchs3-0-1
4.00Buts par match 4.25
5.00Buts contre par match 4.25
22.22%Pourcentage en avantage numérique41.67%
68.18%Pourcentage en désavantage numérique60.00%
Grisards
3-0-1, 7pts
Jour 12
Blossom Bytes
3-0-0, 6pts
Statistiques d’équipe
OTL1SéquenceW3
2-0-0Fiche domicile1-0-0
1-0-1Fiche visiteur2-0-0
3-0-110 derniers matchs3-0-0
4.25Buts par match 5.00
3.75Buts contre par match 5.00
41.67%Pourcentage en avantage numérique22.73%
60.00%Pourcentage en désavantage numérique86.67%
Meneurs d'équipe
Buts
Andreas Athanasiou
3
Passes
Andreas Athanasiou
5
Points
Andreas Athanasiou
8
Plus/Moins
Andreas Athanasiou
6
Victoires
Trent Miner
3
Pourcentage d’arrêts
Trent Miner
0.893

Statistiques d’équipe
Buts pour
17
4.25 GFG
Tirs pour
129
32.25 Avg
Pourcentage en avantage numérique
41.7%
5 GF
Début de zone offensive
38.1%
Buts contre
15
3.75 GAA
Tirs contre
140
35.00 Avg
Pourcentage en désavantage numérique
60.0%%
6 GA
Début de la zone défensive
36.0%
Informations de l'équipe

Directeur généralSebastian
EntraîneurManny Malhotra
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,291
Billets de saison800


Informations de la formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 65
Espoirs13


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
1Dmitri RashevskyXX100.0060606060607070606060606060496109700241752,456$
2Rourke ChartierX99.0068509264767770687765667965636909700281650,000$
3Andreas AthanasiouXXX99.0060508973737782677167666865636309700301675,000$
4Alexander NylanderXXX100.0060509370777692646564656565606909700262650,000$
5Thomas BordeleauXXX100.00605089706877896364646265654257097002221,312,500$
6Arshdeep BainsXX99.0063509072707790686570666865455909700231682,500$
7Nikita ChibrikovXX100.00685092706578806461656373654156097002111,500,000$
8Jani NymanXX100.00625090708080926861676968654156097002011,500,000$
9Victor StjernborgXXX100.0060606060607070606060606060405509801212825,000$
10Cameron BergXXX100.0060606060607070606060606060405509701221825,000$
11Konsta Helenius (R)XX100.00606060606070706060606060604655097001831,500,000$
12Jake ChristiansenX100.0067529471747990692566657165576109700251900,000$
13Justin SchultzX100.0063509286738370782572736966626509700341650,000$
14Nick CicekX100.0060606060607070606060606060415609400241682,500$
15Connor PunnettX100.0060606060607070606060606060415609700211750,000$
16Gavin McCarthyX100.0060606060607070606060606060405509701192975,000$
Rayé
1Peter ReynoldsX100.0060606060607070606060606060415609500211650,000$
2David GoyetteXXX99.69606060606070706060606060604156085002011,250,000$
3Zac FunkXX100.0060606060607070606060606060415609500211850,000$
4David EdstromX100.00606060606070706060606060604055095011921,500,000$
5Daniil PylenkovX100.0060606060607070606060606060526409600241752,456$
6Bogdan KonyushkovX95.2360606060607070606060606060415608700221892,500$
7Simon ForsmarkX100.0060606060607070606060606060405509501212975,000$
8Vladimir GrudininX100.0060606060607070606060606060405509501212700,000$
9Luke KrysX100.0060606060607070606060606060405509500241660,000$
10Alfons Freij (R)X100.00606060606070706060606060604055095001831,250,000$
11Jackson Edward (R)X100.0060606060607070606060606060485509500203650,000$
MOYENNE D’ÉQUIPE99.676157706464737563596262636246580950
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
1Trent Miner98.006070706060606060606060735509700232826,875$
2Arno Tiefensee100.0060707060606060606060604156098002321,023,750$
Rayé
1Taylor Gauthier100.006070706060606060606060466109700231771,750$
2Juha Jatkola100.006070706060606060606060415609700221682,500$
3Dmitri Gamzin100.006070706060606060606060405509600211885,000$
MOYENNE D’ÉQUIPE99.60607070606060606060606048570970
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Manny Malhotra6565656564691CAN451600,000$


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
1Andreas AthanasiouGrisards (NYI)C/LW/RW4358620371281125.00%38521.2911227101281059.18%4931001.8801000011
2Arshdeep BainsGrisards (NYI)LW/RW425730088132915.38%18721.97033160000100046.94%4931001.5900000001
3Jani NymanGrisards (NYI)LW/RW42465204494822.22%17719.30101260111800100.00%223001.5500000100
4Nikita ChibrikovGrisards (NYI)LW/RW4314-2001061621218.75%07017.53101270000000100.00%223001.1400000100
5Rourke ChartierGrisards (NYI)C4123-1001814377.14%69022.63011170000100059.55%8940000.6611000000
6Nick CicekGrisards (NYI)D40331751144220%89924.780110600001000100.00%105000.6100010010
7Justin SchultzGrisards (NYI)D4202-44049114618.18%38521.402023700009100%030000.4700000001
8Alexander NylanderGrisards (NYI)C/LW/RW40220006514480%16616.5101116000010057.14%710000.6100000000
9Konsta HeleniusGrisards (NYI)C/RW2112012107252120.00%13618.27000000000000100.00%120001.0900200000
10Dmitri RashevskyGrisards (NYI)LW/RW210110000100100.00%063.010000000000000%000003.3200000001
11Jake ChristiansenGrisards (NYI)D4011-400376310%68721.8501107000111000%003000.2300000000
12Thomas BordeleauGrisards (NYI)C/LW/RW4011-200239290%36015.0600000000000050.00%3410000.3301000000
13Bogdan KonyushkovGrisards (NYI)D40111135665120%77819.520000100000000%000000.2600001000
14Zac FunkGrisards (NYI)LW/RW21012200021150.00%0189.100000000000000%110001.1000000000
15Connor PunnettGrisards (NYI)D4011620831120%57218.040000000006000%012000.2800000000
16Victor StjernborgGrisards (NYI)C/LW/RW3011-100204110%1237.8500000000000050.00%210000.8500000000
17Daniil PylenkovGrisards (NYI)D2000175111000%22814.290000000000000%00000000100000
18Peter ReynoldsGrisards (NYI)C2000-140311030%03015.42000000000000100.00%20100000000000
19David GoyetteGrisards (NYI)C/LW/RW3000-21010230120%0248.2100000000000050.00%60100000011000
20Cameron BergGrisards (NYI)C/LW/RW2000-200021200%02512.69000000000000100.00%22100000000000
21Gavin McCarthyGrisards (NYI)D2000300020010%14020.230000300004000%00100000000000
22Alfons FreijGrisards (NYI)D2000000000010%031.510000000000000%00000000000000
23Jackson EdwardGrisards (NYI)D2000000000000%000.300000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne721628441065358181129438712.40%49119716.63581312701124832056.68%2472622000.7313322224
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
1Trent MinerGrisards (NYI)43010.8933.67245001514080001.000340000
Statistiques d’équipe totales ou en moyenne43010.8933.6724500151408000340000


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
Alexander Nylander (contrat à 1 volet)Grisards (NYI)C/LW/RW261998-03-02SWENo205 Lbs6 ft1NoNoAssign ManuallyNoNo22025-11-09FalseFalsePro & Farm650,000$625,538$650,000$625,538$No650,000$--------650,000$--------No--------
Alfons FreijGrisards (NYI)D182006-02-12SWEYes196 Lbs5 ft11NoNoDraftNoNo32025-08-27FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Andreas AthanasiouGrisards (NYI)C/LW/RW301994-08-06CANNo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm675,000$649,867$67,500$64,987$No---------------------------
Arno TiefenseeGrisards (NYI)G232001-05-01GERNo212 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No1,023,750$--------1,023,750$--------No--------
Arshdeep BainsGrisards (NYI)LW/RW232001-01-09CANNo184 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Bogdan KonyushkovGrisards (NYI)D222002-12-20RUSNo176 Lbs5 ft11NoNoN/ANoNo12025-09-08FalseFalsePro & Farm892,500$859,269$89,250$85,927$No---------------------------
Cameron BergGrisards (NYI)C/LW/RW222002-01-29USANo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm825,000$794,282$82,500$79,428$No---------------------------
Connor PunnettGrisards (NYI)D212003-06-16CANNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Daniil PylenkovGrisards (NYI)D242000-09-26RUSNo194 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm752,456$724,439$75,246$72,444$No---------------------------
David EdstromGrisards (NYI)C192005-02-18SWENo190 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
David GoyetteGrisards (NYI)C/LW/RW202004-03-27CANNo174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Dmitri GamzinGrisards (NYI)G212003-04-08RUSNo174 Lbs6 ft3NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm885,000$852,048$88,500$85,205$No---------------------------
Dmitri RashevskyGrisards (NYI)LW/RW242000-10-09RUSNo174 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm752,456$724,439$75,246$72,444$No---------------------------
Gavin McCarthyGrisards (NYI)D192005-06-02USANo185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Jackson EdwardGrisards (NYI)D202004-02-27CANYes194 Lbs6 ft0NoNoDraftNoNo32025-08-27FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Jake ChristiansenGrisards (NYI)D251999-09-12CANNo197 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm900,000$866,489$90,000$86,649$No---------------------------
Jani NymanGrisards (NYI)LW/RW202004-07-30FINNo212 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No---------------------------
Juha JatkolaGrisards (NYI)G222002-09-12FINNo176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Justin SchultzGrisards (NYI)D341990-07-06CANNo190 Lbs6 ft2NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Konsta HeleniusGrisards (NYI)C/RW182006-05-11FIBYes190 Lbs5 ft9NoNoDraftNoNo32025-08-27FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Luke KrysGrisards (NYI)D242000-09-27USANo185 Lbs6 ft2NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm660,000$635,426$66,000$63,543$No---------------------------
Nick CicekGrisards (NYI)D242000-05-29CANNo201 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Nikita ChibrikovGrisards (NYI)LW/RW212003-02-16RUSNo170 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No---------------------------
Peter ReynoldsGrisards (NYI)C212003-01-20CANNo170 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Rourke ChartierGrisards (NYI)C281996-04-03CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Simon ForsmarkGrisards (NYI)D212003-10-17SWENo192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Taylor GauthierGrisards (NYI)G232001-02-15CANNo207 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm771,750$743,015$77,175$74,301$No---------------------------
Thomas BordeleauGrisards (NYI)C/LW/RW222002-01-03USANo180 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No1,312,500$--------1,312,500$--------No--------
Trent MinerGrisards (NYI)G232001-02-05CANNo185 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm826,875$796,087$82,688$79,609$No826,875$--------826,875$--------No--------
Victor StjernborgGrisards (NYI)C/LW/RW212003-05-22SWENo203 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Vladimir GrudininGrisards (NYI)D212003-12-09RUSNo157 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$--------700,000$--------No--------
Zac FunkGrisards (NYI)LW/RW212003-07-20CANNo209 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm850,000$818,351$85,000$81,835$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.53189 Lbs6 ft11.47910,931$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander NylanderRourke ChartierKonsta Helenius30212
2Arshdeep BainsAndreas AthanasiouJani Nyman28221
3Cameron BergThomas BordeleauNikita Chibrikov26122
4Victor StjernborgKonsta Helenius16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake ChristiansenJustin Schultz28122
2Gavin McCarthyConnor Punnett28122
3Nick Cicek25122
4Nick Cicek19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita ChibrikovRourke ChartierAndreas Athanasiou50122
2Jani NymanAlexander NylanderArshdeep Bains50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin SchultzJake Christiansen50122
2Nick CicekGavin McCarthy50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Arshdeep BainsRourke Chartier50122
2Andreas AthanasiouJani Nyman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin SchultzJake Christiansen50122
2Nick CicekGavin McCarthy50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andreas Athanasiou50122Justin SchultzJake Christiansen50122
2Rourke Chartier50122Nick CicekGavin McCarthy50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Arshdeep BainsRourke Chartier50122
2Andreas AthanasiouJani Nyman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin SchultzJake Christiansen50122
2Nick CicekGavin McCarthy50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arshdeep BainsRourke ChartierAndreas AthanasiouJustin SchultzJake Christiansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arshdeep BainsRourke ChartierAndreas AthanasiouJustin SchultzJake Christiansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Chibrikov, Thomas Bordeleau, Konsta HeleniusNikita Chibrikov, Thomas BordeleauKonsta Helenius
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Connor Punnett, Nick CicekConnor Punnett, Nick Cicek
Tirs de pénalité
Thomas Bordeleau, Rourke Chartier, Andreas Athanasiou, Jani Nyman, Arshdeep Bains
Gardien
#1 : Trent Miner, #2 : Arno Tiefensee


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
1Moose11000000321110000003210000000000021.0003580063712732504732881629200.00%3166.67%1599462.77%448949.44%376457.81%814382408039
2Senators10000010541000000000001000001054121.0005813006371403250473391513233133.33%4250.00%0599462.77%448949.44%376457.81%814382408039
3Whalers21000100990110000005411000010045-130.75091524006371623250473732636297457.14%8362.50%0599462.77%448949.44%376457.81%814382408039
Total4200011017152220000008622000011099070.875172845006371129325047314049658112541.67%15660.00%1599462.77%448949.44%376457.81%814382408039
_Since Last GM Reset4200011017152220000008622000011099070.875172845006371129325047314049658112541.67%15660.00%1599462.77%448949.44%376457.81%814382408039
_Vs Conference4200011017152220000008622000011099070.875172845006371129325047314049658112541.67%15660.00%1599462.77%448949.44%376457.81%814382408039

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
47OTL117284512914049658100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
42001101715
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000086
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
200011099
Derniers 10 matchs
WLOTWOTL SOWSOL
300100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
12541.67%15660.00%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
32504736371
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
599462.77%448949.44%376457.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
814382408039


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
18Grisards5Senators4WXXSommaire du match
323Moose2Grisards3WSommaire du match
537Whalers4Grisards5WSommaire du match
751Grisards4Whalers5LXSommaire du match
966Grisards-Americans-
1184Wolves-Grisards-
1286Grisards-Blossom Bytes-
14106Grisards-Reign-
16120Phantoms-Grisards-
20146Phantoms-Grisards-
22163Grisards-Wolf Pack-
24174Grisards-Phantoms-
26188Admirals-Grisards-
28197Grisards-Senators-
30217Grisards-Norsemen-
32224Norsemen-Grisards-
35250Grisards-Titans-
36253Moose-Grisards-
40280Blossom Bytes-Grisards-
42291Grisards-Roadrunners-
45310Wolf Pack-Grisards-
47330Grisards-Roadrunners-
49341Titans-Grisards-
51361Grisards-Phantoms-
53374Whalers-Grisards-
55390Grisards-Americans-
57404Grisards-Griffins-
58414Bears-Grisards-
61430Grisards-Americans-
62446Gorillas-Grisards-
66470Rams-Grisards-
69484Grisards-Admirals-
71501Grisards-Titans-
73509Whalers-Grisards-
75529Grisards-Wolf Pack-
77539Eagles-Grisards-
79555Grisards-Rams-
81569Octopus-Grisards-
84592Grisards-Rocket-
86603Rams-Grisards-
88620Grisards-Silver Knights-
90634Admirals-Grisards-
92649Grisards-Redhawks-
93662Grisards-Penguins-
95671Phantoms-Grisards-
98697Penguins-Grisards-
102719Grisards-Reign-
103731Wolves-Grisards-
107759Crunch-Grisards-
109774Grisards-Bills-
111787Grisards-Norsemen-
112794Americans-Grisards-
115814Grisards-Wolves-
116826Roadrunners-Grisards-
120850Grisards-Bulldogs-
121859Bears-Grisards-
124878Grisards-Blossom Bytes-
125890Blood Miners-Grisards-
128916Penguins-Grisards-
129922Grisards-Mountaineers-
133951Grisards-Senators-
134957Phantoms-Grisards-
138983White Wolves-Grisards-
140998Grisards-Whalers-
1411010Saints-Grisards-
1441030Grisards-Whalers-
1461041Grisards-Moose-
1471052Gulls-Grisards-
1501076Blood Miners-Grisards-
1511082Grisards-Moose-
1531096Grisards-Blossom Bytes-
1561115Senators-Grisards-
1601145Norsemen-Grisards-
1631169Grisards-Wolves-
1641175Senators-Grisards-
1651183Grisards-Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1691210Wolves-Grisards-
1741237Americans-Grisards-
1761251Grisards-Gulls-
1791268Norsemen-Grisards-
1821285Grisards-Gulls-
1871311Moose-Grisards-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3015
Assistance5,0009,582
Assistance PCT100.00%87.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 7291 - 91.14% 176,238$352,476$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
127,127$ 2,849,980$ 2,849,980$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
18,351$ 127,127$ 31 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,873,282$ 181 18,351$ 3,321,531$




Grisards 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

Grisards 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

Grisards 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

Grisards 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

Grisards 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