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Redhawks
GP: 3 | W: 1 | L: 2
GF: 13 | GA: 12 | PP%: 16.67% | PK%: 46.15%
DG: Andre | Morale : 98 | Moyenne d’équipe : N/A
Prochains matchs #30 vs Mountaineers

Centre de jeu
Redhawks
1-2-0, 2pts
6
FINAL
2 Mountaineers
2-1-0, 4pts
Team Stats
OTL1SéquenceW1
0-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-0-0
1-1-1Derniers 10 matchs2-1-0
4.33Buts par match 4.00
4.00Buts contre par match 4.33
16.67%Pourcentage en avantage numérique53.85%
46.15%Pourcentage en désavantage numérique83.33%
Mountaineers
2-1-0, 4pts
6
FINAL
5 Redhawks
1-2-0, 2pts
Team Stats
W1SéquenceOTL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche domicile1-1-0
2-1-0Derniers 10 matchs1-1-1
4.00Buts par match 4.33
4.33Buts contre par match 4.00
53.85%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique46.15%
Mountaineers
2-1-0, 4pts
Jour 8
Redhawks
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-1-0
2-1-010 derniers matchs1-1-1
4.00Buts par match 4.33
4.33Buts contre par match 4.33
53.85%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique46.15%
Redhawks
1-2-0, 2pts
Jour 10
Mountaineers
2-1-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
0-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-0-0
1-1-110 derniers matchs2-1-0
4.33Buts par match 4.00
4.00Buts contre par match 4.00
16.67%Pourcentage en avantage numérique53.85%
46.15%Pourcentage en désavantage numérique83.33%
Mountaineers
2-1-0, 4pts
Jour 12
Redhawks
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceOTL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-1-0
2-1-010 derniers matchs1-1-1
4.00Buts par match 4.33
4.33Buts contre par match 4.33
53.85%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique46.15%
Meneurs d'équipe
Buts
Daniel Sprong
3
Passes
Chris Tierney
4
Points
Chris Tierney
5
Plus/Moins
Liam Foudy
4
Victoires
Joe Vrbetic
1
Pourcentage d’arrêts
Kim Saarinen
0.909

Statistiques d’équipe
Buts pour
13
4.33 GFG
Tirs pour
122
40.67 Avg
Pourcentage en avantage numérique
16.7%
2 GF
Début de zone offensive
36.9%
Buts contre
12
4.00 GAA
Tirs contre
108
36.00 Avg
Pourcentage en désavantage numérique
46.2%%
7 GA
Début de la zone défensive
36.4%
Informations de l'équipe

Directeur généralAndre
EntraîneurKirk Muller
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,686
Billets de saison800


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 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
1Liam FoudyX100.00605092707175936361646367655159080002411,653,750$
2Chris TierneyX99.0063529175737670717268676965616706000301650,000$
3Tanner LaczynskiX100.00605090717775856771676666655460077002711,521,750$
4Rasmus AsplundX100.0060509270727592657466656865556008000271650,000$
5Walker DuehrXX100.0075509566797588696165677165546008000272680,000$
6Daniel SprongXX100.00705095757479847161686667655864061002711,175,000$
7Alex BeaucageXX100.00606060606070706060606060605359072002311,023,750$
8Matej BlumelXX100.0060509273777593676167686765475707800241787,500$
9Brad LambertX100.00625091706778916464666268654055065002111,500,000$
10Matthew SavoieXXX100.00605091716779926575666467654055079002011,500,000$
11Dominic JamesXXX100.0060606060607070606060606060405507701221650,000$
12Parker BellXX100.0060606060607070606060606060405507601212650,000$
13Isaak PhillipsX100.00625084647878926225636271654957076002311,400,000$
14Zach MetsaX100.0060606060607070606060606060526207100261744,188$
15Ryan ORourkeX100.00606060606070706060606060605159073002211,312,500$
16Finn Harding (R)X100.0060606060607070606060606060465502600193650,000$
17Brent JohnsonX100.0060606060607070606060606060405507601212825,000$
18Jackson DorringtonX99.0060606060607070606060606060405506901202750,000$
Rayé
1Jakub BrabenecXXX100.0060606060607070606060606060485504600211825,000$
2Jared DavidsonX100.0060606060607070606060606060405502601221750,000$
3William TrudeauX100.0060606060607070606060606060405502100222787,500$
4David JiricekX100.00625090687879836625676569654055064002111,500,000$
5Isaac BelliveauX100.0060606060607070606060606060405502200221700,000$
6Haakon HaneltXXXX100.0060606060607070606060606060405503700211825,000$
7Ty NelsonX100.00606060606070706060606060604855029002011,250,000$
MOYENNE D’ÉQUIPE99.926156746566737863606362646247570610
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
1Joe Vrbetic100.0060707060606060606060601107900221700,000$
Rayé
1Benjamin Gaudreau100.0060707060606060606060605055033002111,250,000$
2Nikita Quapp100.0060707060606060606060601106200211750,000$
3Nick Malik100.0060707060606060606060601106100221650,000$
4Domenic Divincentiis100.006070706060606060606060485504200201750,000$
5Kim Saarinen (R)89.9160707060606060606060601103900183975,000$
MOYENNE D’ÉQUIPE98.17607070606060606060606017190530
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller6878767973751CAN591600,000$


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
1Chris TierneyRedhawks (ANA)C314520034215134.76%26321.3211258000270058.62%2932001.5600000001
2Daniel SprongRedhawks (ANA)LW/RW332545535151920.00%14816.1200019000000150.00%211002.0700010010
3Liam FoudyRedhawks (ANA)C33144005371642.86%13411.3800000000000066.67%310002.3400000100
4Rasmus AsplundRedhawks (ANA)C3044200347350%15919.95000010000170059.42%6922001.3400000000
5Matthew SavoieRedhawks (ANA)C/LW/RW322422047187511.11%56220.9911238000061063.64%7721001.2700000010
6Walker DuehrRedhawks (ANA)LW/RW32130002163333.33%0299.790000000000000%010002.0400000000
7Tanner LaczynskiRedhawks (ANA)C31124006211159.09%25819.450002900037000%231000.6900000000
8Matej BlumelRedhawks (ANA)LW/RW3022200128250%13210.990000000000000%010001.2100000000
9Brent JohnsonRedhawks (ANA)D3022080641000%14916.510000000000000%010000.8100000000
10Zach MetsaRedhawks (ANA)D301111610404200%25618.740112800000000%000000.3600020000
11Ryan ORourkeRedhawks (ANA)D31013751130033.33%65418.290000000007000%021000.3600001000
12Alex BeaucageRedhawks (ANA)LW/RW301122410613260%24916.6400018000000050.00%411000.4000020000
13Brad LambertRedhawks (ANA)C3011-155325140%13411.5900000000000041.67%1210000.5700001000
14Dominic JamesRedhawks (ANA)C/LW/RW3011100431330%23511.7300000000000033.33%1500000.5700000000
15Isaak PhillipsRedhawks (ANA)D3000100254010%67525.170001800008000%04300000000000
16Finn HardingRedhawks (ANA)D3000300944140%36521.920000900006000%00100000000000
17Parker BellRedhawks (ANA)LW/RW3000-120320120%1299.740000000000000%10000000000000
18Jackson DorringtonRedhawks (ANA)D30001201044310%47023.440002900006000%02200000000000
Statistiques d’équipe totales ou en moyenne541323363071357554122367210.66%4191116.8823517930006591157.01%2142515000.7900052121
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
1Joe VrbeticRedhawks (ANA)21010.8755.05950086434000003000
2Kim SaarinenRedhawks (ANA)30100.9092.67900044418000030000
Statistiques d’équipe totales ou en moyenne51110.8893.8918500121085200033000


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
Alex BeaucageRedhawks (ANA)LW/RW232001-07-25CANNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$585,000$102,375$58,500$No---------------------------
Benjamin GaudreauRedhawks (ANA)G212003-01-11CANNo174 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$714,286$125,000$71,429$No---------------------------
Brad LambertRedhawks (ANA)C212003-12-19FINNo173 Lbs6 ft1NoNoTrade2026-01-13NoNo1FalseFalsePro & Farm1,500,000$857,143$150,000$85,714$No---------------------------
Brent JohnsonRedhawks (ANA)D212003-03-20USANo174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$471,429$82,500$47,143$No825,000$--------825,000$--------No--------
Chris TierneyRedhawks (ANA)C301994-07-01CANNo191 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-30FalseFalsePro & Farm650,000$371,429$65,000$37,143$No---------------------------
Daniel SprongRedhawks (ANA)LW/RW271997-03-17CANNo195 Lbs6 ft0NoNoFree AgentNoNo12025-05-21FalseFalsePro & Farm1,175,000$671,429$117,500$67,143$No---------------------------
David JiricekRedhawks (ANA)D212003-11-28CZENo204 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$857,143$65,000$37,143$No---------------------------
Domenic DivincentiisRedhawks (ANA)G202004-03-04CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$428,571$75,000$42,857$No---------------------------
Dominic JamesRedhawks (ANA)C/LW/RW222002-07-03USANo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$371,429$65,000$37,143$No---------------------------
Finn HardingRedhawks (ANA)D192005-05-02CANYes192 Lbs6 ft0NoNoDraftNoNo32025-08-20FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Haakon HaneltRedhawks (ANA)C/LW/RW/D212003-06-01GERNo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm825,000$471,429$82,500$47,143$No---------------------------
Isaac BelliveauRedhawks (ANA)D222002-11-26CANNo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$400,000$70,000$40,000$No---------------------------
Isaak PhillipsRedhawks (ANA)D232001-09-28CANNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$800,000$140,000$80,000$No---------------------------
Jackson DorringtonRedhawks (ANA)D202004-04-13USANo192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$428,571$75,000$42,857$No750,000$--------750,000$--------No--------
Jakub BrabenecRedhawks (ANA)C/LW/RW212003-09-11CZENo176 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm825,000$471,429$82,500$47,143$No---------------------------
Jared DavidsonRedhawks (ANA)C222002-07-07CANNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$428,571$75,000$42,857$No---------------------------
Joe VrbeticRedhawks (ANA)G222002-10-24CANNo187 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$400,000$70,000$40,000$No---------------------------
Kim Saarinen (sur la masse salariale)Redhawks (ANA)G182006-07-22FINYes187 Lbs6 ft2NoNoDraftNoNo32025-08-20FalseFalsePro & Farm975,000$557,143$65,000$37,143$No975,000$975,000$-------650,000$650,000$-------NoNo-------
Liam Foudy (contrat à 1 volet)Redhawks (ANA)C242000-02-04CANNo186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,653,750$945,000$1,653,750$945,000$No---------------------------
Matej BlumelRedhawks (ANA)LW/RW242000-05-31CZENo205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm787,500$450,000$78,750$45,000$No---------------------------
Matthew SavoieRedhawks (ANA)C/LW/RW202004-01-01CANNo179 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$857,143$150,000$85,714$No---------------------------
Nick MalikRedhawks (ANA)G222002-04-26USANo179 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$371,429$65,000$37,143$No---------------------------
Nikita QuappRedhawks (ANA)G212003-01-25GERNo203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$428,571$75,000$42,857$No---------------------------
Parker BellRedhawks (ANA)LW/RW212003-09-26CANNo205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm650,000$371,429$65,000$37,143$No650,000$--------650,000$--------No--------
Rasmus Asplund (contrat à 1 volet)Redhawks (ANA)C271997-12-03SWENo190 Lbs5 ft11NoNoAssign ManuallyNoNo12025-11-30FalseFalsePro & Farm650,000$371,429$650,000$371,429$No---------------------------
Ryan ORourkeRedhawks (ANA)D222002-05-16CANNo181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$750,000$131,250$75,000$No---------------------------
Tanner LaczynskiRedhawks (ANA)C271997-06-01USANo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,521,750$869,571$152,175$86,957$No---------------------------
Ty NelsonRedhawks (ANA)D202004-03-30CANNo198 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$714,286$125,000$71,429$No---------------------------
Walker DuehrRedhawks (ANA)LW/RW271997-11-23USANo210 Lbs6 ft2NoNoTrade2025-11-30NoNo22025-11-16FalseFalsePro & Farm680,000$388,571$68,000$38,857$No680,000$--------680,000$--------No--------
William TrudeauRedhawks (ANA)D222002-10-11CANNo190 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$450,000$78,750$45,000$No787,500$--------787,500$--------No--------
Zach MetsaRedhawks (ANA)D261998-10-19USANo181 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm744,188$425,250$74,419$42,525$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.48190 Lbs6 ft11.29962,450$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex BeaucageMatthew SavoieChris Tierney34113
2Tanner LaczynskiRasmus AsplundDaniel Sprong30113
3Matej BlumelDominic JamesLiam Foudy20122
4Walker DuehrBrad LambertParker Bell16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsBrent Johnson34122
2Jackson DorringtonZach Metsa33122
3Finn HardingRyan ORourke33122
4Isaak PhillipsZach Metsa0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex BeaucageChris TierneyMatthew Savoie50122
2Tanner LaczynskiRasmus AsplundDaniel Sprong50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsZach Metsa50122
2Jackson DorringtonFinn Harding50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris TierneyTanner Laczynski50122
2Rasmus AsplundMatthew Savoie50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsRyan ORourke50122
2Jackson DorringtonFinn Harding50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Savoie50122Isaak PhillipsFinn Harding50122
2Rasmus Asplund50122Zach MetsaJackson Dorrington50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris TierneyTanner Laczynski50122
2Rasmus AsplundBrad Lambert50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsBrent Johnson50122
2Jackson DorringtonFinn Harding50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad LambertMatthew SavoieAlex BeaucageIsaak PhillipsBrent Johnson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel SprongRasmus AsplundBrad LambertIsaak PhillipsBrent Johnson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brad Lambert, Dominic James, Parker BellParker Bell, Brad LambertBrad Lambert
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jackson Dorrington, Isaak Phillips, Zach MetsaJackson DorringtonJackson Dorrington, Isaak Phillips
Tirs de pénalité
Brad Lambert, Daniel Sprong, Rasmus Asplund, Matthew Savoie, Alex Beaucage
Gardien
#1 : , #2 : Joe Vrbetic


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
1Mountaineers31200000131211010000056-12110000086220.333132336003550122363446610841717512216.67%13746.15%0547968.35%347843.59%345759.65%653761305827
Total31200000131211010000056-12110000086220.333132336003550122363446610841717512216.67%13746.15%0547968.35%347843.59%345759.65%653761305827
_Since Last GM Reset31200000131211010000056-12110000086220.333132336003550122363446610841717512216.67%13746.15%0547968.35%347843.59%345759.65%653761305827
_Vs Conference31200000131211010000056-12110000086220.333132336003550122363446610841717512216.67%13746.15%0547968.35%347843.59%345759.65%653761305827

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
32OTL113233612210841717500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
31200001312
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000056
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000086
Derniers 10 matchs
WLOTWOTL SOWSOL
110100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
12216.67%13746.15%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
36344663550
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
547968.35%347843.59%345759.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
653761305827


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
26Redhawks2Mountaineers4LSommaire du match
414Redhawks6Mountaineers2WSommaire du match
622Mountaineers6Redhawks5LXSommaire du match
830Mountaineers-Redhawks-
1038Redhawks-Mountaineers-
1246Mountaineers-Redhawks-
1454Redhawks-Mountaineers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3414
Assistance2,4035,283
Assistance PCT96.12%96.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 7686 - 96.08% 186,797$186,797$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,655,719$ 2,570,719$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 28 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




Redhawks 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

Redhawks 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

Redhawks 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

Redhawks 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

Redhawks 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