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Redhawks
GP: 29 | W: 16 | L: 10 | OTL: 3 | P: 35
GF: 113 | GA: 100 | PP%: 24.59% | PK%: 75.61%
DG: Andre | Morale : 98 | Moyenne d’équipe : N/A
Prochains matchs #486 vs Rams

Centre de jeu
Redhawks
16-10-3, 35pts
3
FINAL
4 Rocket
8-19-2, 18pts
Team Stats
W1SéquenceSOL1
9-4-2Fiche domicile5-10-0
7-6-1Fiche domicile3-9-2
6-4-0Derniers 10 matchs2-6-2
3.90Buts par match 2.90
3.45Buts contre par match 4.34
24.59%Pourcentage en avantage numérique21.49%
75.61%Pourcentage en désavantage numérique69.18%
Redhawks
16-10-3, 35pts
5
FINAL
4 Moose
20-9-3, 43pts
Team Stats
W1SéquenceOTL1
9-4-2Fiche domicile9-4-2
7-6-1Fiche domicile11-5-1
6-4-0Derniers 10 matchs5-2-3
3.90Buts par match 3.09
3.45Buts contre par match 2.75
24.59%Pourcentage en avantage numérique24.82%
75.61%Pourcentage en désavantage numérique68.42%
Redhawks
16-10-3, 35pts
Jour 69
Rams
20-9-0, 40pts
Statistiques d’équipe
W1SéquenceW1
9-4-2Fiche domicile8-7-0
7-6-1Fiche visiteur12-2-0
6-4-010 derniers matchs8-2-0
3.90Buts par match 4.07
3.45Buts contre par match 4.07
24.59%Pourcentage en avantage numérique29.93%
75.61%Pourcentage en désavantage numérique76.61%
Penguins
14-18-1, 29pts
Jour 70
Redhawks
16-10-3, 35pts
Statistiques d’équipe
L1SéquenceW1
5-10-0Fiche domicile9-4-2
9-8-1Fiche visiteur7-6-1
6-3-110 derniers matchs6-4-0
2.88Buts par match 3.90
3.24Buts contre par match 3.90
25.42%Pourcentage en avantage numérique24.59%
72.55%Pourcentage en désavantage numérique75.61%
Bears
16-13-3, 35pts
Jour 74
Redhawks
16-10-3, 35pts
Statistiques d’équipe
W3SéquenceW1
6-6-3Fiche domicile9-4-2
10-7-0Fiche visiteur7-6-1
6-3-110 derniers matchs6-4-0
3.53Buts par match 3.90
3.38Buts contre par match 3.90
33.08%Pourcentage en avantage numérique24.59%
74.31%Pourcentage en désavantage numérique75.61%
Meneurs d'équipe
Buts
Daniel Sprong
12
Passes
Rasmus Asplund
24
Points
Rasmus Asplund
34
Plus/Moins
Daniel Sprong
10
Victoires
Kim Saarinen
6
Pourcentage d’arrêts
Joe Vrbetic
0.932

Statistiques d’équipe
Buts pour
113
3.90 GFG
Tirs pour
981
33.83 Avg
Pourcentage en avantage numérique
24.6%
30 GF
Début de zone offensive
36.5%
Buts contre
100
3.45 GAA
Tirs contre
942
32.48 Avg
Pourcentage en désavantage numérique
75.6%%
30 GA
Début de la zone défensive
37.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance7,446
Billets de saison800


Informations de la formation

Équipe Pro32
Équipe Mineure21
Limite contact 53 / 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 FoudyX100.00605092707175936361646367655159089002411,653,750$
2Chris TierneyX100.0063529175737670717268676965616707800301650,000$
3Jesse PuljujarviXX100.00805087788278877361696970655562086002611,750,000$
4Tanner LaczynskiX100.00605090717775856771676666655460081002711,521,750$
5Rasmus AsplundX100.0060509270727592657466656865556009000271650,000$
6Walker DuehrXX100.0075509566797588696165677165546008700272680,000$
7Daniel SprongXX100.00705095757479847161686667655864090002711,175,000$
8Alex BeaucageXX100.00606060606070706060606060605359090002311,023,750$
9Matej BlumelXX100.0060509273777593676167686765475708700241787,500$
10Brad LambertX100.00625091706778916464666268654055086002111,500,000$
11Dominic JamesXXX100.0060606060607070606060606060405507401221650,000$
12Parker BellXX100.0060606060607070606060606060405508301212650,000$
13Isaak PhillipsX100.00625084647878926225636271654957081002311,400,000$
14Zach MetsaX100.0060606060607070606060606060526208100261744,188$
15David JiricekX100.00625090687879836625676569654055090002111,500,000$
16Haakon HaneltXXXX100.0060606060607070606060606060405508000211825,000$
17Brent JohnsonX100.0060606060607070606060606060405508501212825,000$
18Jackson DorringtonX100.0060606060607070606060606060405508201202750,000$
Rayé
1Jakub BrabenecXXX84.4960606060607070606060606060485507000211825,000$
2Matthew SavoieXXX100.00605091716779926575666467654055072002011,500,000$
3Jared DavidsonX100.0060606060607070606060606060405507501221750,000$
4William TrudeauX100.0060606060607070606060606060405506900222787,500$
5Ryan ORourkeX67.27606060606070706060606060605159069002211,312,500$
6Finn Harding (R)X100.0060606060607070606060606060465506500193650,000$
7Isaac BelliveauX100.0060606060607070606060606060405506000221700,000$
8Ty NelsonX100.00606060606070706060606060604855075002011,250,000$
MOYENNE D’ÉQUIPE98.126255746567737863606362646247580800
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 Vrbetic100.0060707060606060606060601109000221700,000$
2Kim Saarinen (R)100.0060707060606060606060601108100183975,000$
Rayé
1Benjamin Gaudreau100.0060707060606060606060605055060002111,250,000$
2Nikita Quapp100.0060707060606060606060601108400211750,000$
3Nick Malik100.0060707060606060606060601108400221650,000$
4Domenic Divincentiis81.926070706060606060606060485508100201750,000$
MOYENNE D’ÉQUIPE96.83607070606060606060606017190800
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
1Rasmus AsplundRedhawks (ANA)C29102434795375967212314.93%2556219.392111311910114902052.16%510165001.2114001133
2Daniel SprongRedhawks (ANA)LW/RW29121527103115333663326119.05%747116.26000190000235047.14%702110001.1500102323
3Jesse PuljujarviRedhawks (ANA)LW/RW191015250135383074154613.51%1036119.0155101462000170150.00%38204011.3800001040
4Chris TierneyRedhawks (ANA)C24101222-53820413689307311.24%1647019.6252716630002620054.58%5682514000.9315013110
5Matthew SavoieRedhawks (ANA)C/LW/RW20101121000272759183216.95%933016.54461013620000231053.41%88132001.2735000203
6Walker DuehrRedhawks (ANA)LW/RW29812200423040259529598.42%2250117.312681185000142053.33%30138000.8001303211
7Brad LambertRedhawks (ANA)C289101902220342675173212.00%1245116.132467481011410144.59%14888000.8400202101
8Trevor LewisDucksC/LW/RW1711718-11410302495255311.58%1040824.0321316540004461144.83%29169010.8813020210
9Matej BlumelRedhawks (ANA)LW/RW27591450027265326459.43%734012.62123930000001080.00%5134000.8200000000
10David JiricekRedhawks (ANA)D294101471515303737171810.81%4366622.99101578000194010%01612000.4200003101
11Parker BellRedhawks (ANA)LW/RW202911915520101851111.11%21738.6511228000000033.33%1823001.2700010010
12Tanner LaczynskiRedhawks (ANA)C25639355191547151112.77%52058.20000030002171066.67%4894000.8800001110
13Liam FoudyRedhawks (ANA)C2844815520273622311.11%834912.4700001000061052.38%2137000.4600001100
14Isaak PhillipsRedhawks (ANA)D291782241050473912182.56%3968423.62112691000298000%01220000.2300002000
15Zach MetsaRedhawks (ANA)D22077-155153120205120%3044220.10022667000034000%01116000.3200102000
16Dominic JamesRedhawks (ANA)C/LW/RW1343741552012166825.00%115111.622133280002100054.90%5143000.9300001100
17Jakub BrabenecRedhawks (ANA)C/LW/RW10336-41751918132423.08%315415.451231190002190143.48%16113000.7800001010
18Alex BeaucageRedhawks (ANA)LW/RW28235615531212412118.33%42448.7400002000000033.33%624000.4100100001
19Finn HardingRedhawks (ANA)D11055035513156350%1221019.10022126000018000%003000.4800010000
20Haakon HaneltRedhawks (ANA)C/LW/RW/D9235095177144914.29%113114.61000020000280052.08%4844000.7600010001
21Ryan ORourkeRedhawks (ANA)D240443371528253111180%2147819.94022536000263000%0614000.1700012000
22Jackson DorringtonRedhawks (ANA)D23134667253436271183.70%2246320.15101360000056000%069000.1700023000
23Isaac BelliveauRedhawks (ANA)D3022-495257220%45317.8401111000003000%013000.7500010000
24Ty NelsonRedhawks (ANA)D100221011512122000%715415.470000100004000%023000.2600100000
25William TrudeauRedhawks (ANA)D9000030101992010%1114916.620000200006000%00400000101000
26Brent JohnsonRedhawks (ANA)D1300063810181310540%1420515.780000000002000%02500000101000
27Jared DavidsonRedhawks (ANA)C9000000000000%000.040000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne53711418329764571255690618101932558711.19%345881716.423049791319501122476614551.55%1839226181020.67618111030161514
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
1Kim SaarinenRedhawks (ANA)96200.9083.194520024262148100091012
2Benjamin GaudreauRedhawks (ANA)145320.8973.507380043417239000.63611141200
3Domenic DivincentiisRedhawks (ANA)93410.8783.21393002117297200.7147514100
4Joe VrbeticRedhawks (ANA)42000.9321.9212500459332000013000
5Nick MalikRedhawks (ANA)10100.8445.00600053222000010000
Statistiques d’équipe totales ou en moyenne37161030.8973.291769009794253950182929312


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$653,457$102,375$65,346$No---------------------------
Benjamin GaudreauRedhawks (ANA)G212003-01-11CANNo174 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$797,872$125,000$79,787$No---------------------------
Brad LambertRedhawks (ANA)C212003-12-19FINNo173 Lbs6 ft1NoNoTrade2026-01-13NoNo1FalseFalsePro & Farm1,500,000$957,447$150,000$95,745$No---------------------------
Brent JohnsonRedhawks (ANA)D212003-03-20USANo174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$526,596$82,500$52,660$No825,000$--------825,000$--------No--------
Chris TierneyRedhawks (ANA)C301994-07-01CANNo191 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-30FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
Daniel SprongRedhawks (ANA)LW/RW271997-03-17CANNo195 Lbs6 ft0NoNoFree AgentNoNo12025-05-21FalseFalsePro & Farm1,175,000$750,000$117,500$75,000$No---------------------------
David JiricekRedhawks (ANA)D212003-11-28CZENo204 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$957,447$65,000$41,489$No---------------------------
Domenic Divincentiis (sur la masse salariale)Redhawks (ANA)G202004-03-04CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$478,723$75,000$47,872$No---------------------------
Dominic JamesRedhawks (ANA)C/LW/RW222002-07-03USANo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
Finn HardingRedhawks (ANA)D192005-05-02CANYes192 Lbs6 ft0NoNoDraftNoNo32025-08-20FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Haakon HaneltRedhawks (ANA)C/LW/RW/D212003-06-01GERNo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm825,000$526,596$82,500$52,660$No---------------------------
Isaac BelliveauRedhawks (ANA)D222002-11-26CANNo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$446,809$70,000$44,681$No---------------------------
Isaak PhillipsRedhawks (ANA)D232001-09-28CANNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$893,617$140,000$89,362$No---------------------------
Jackson DorringtonRedhawks (ANA)D202004-04-13USANo192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$478,723$75,000$47,872$No750,000$--------750,000$--------No--------
Jakub Brabenec (sur la masse salariale)Redhawks (ANA)C/LW/RW212003-09-11CZENo176 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm825,000$526,596$82,500$52,660$No---------------------------
Jared DavidsonRedhawks (ANA)C222002-07-07CANNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$478,723$75,000$47,872$No---------------------------
Jesse Puljujarvi (contrat à 1 volet)Redhawks (ANA)LW/RW261998-05-07FINNo216 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,750,000$1,110,215$1,750,000$1,110,215$No---------------------------
Joe VrbeticRedhawks (ANA)G222002-10-24CANNo187 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$446,809$70,000$44,681$No---------------------------
Kim SaarinenRedhawks (ANA)G182006-07-22FINYes187 Lbs6 ft2NoNoDraftNoNo32025-08-20FalseFalsePro & Farm975,000$622,340$65,000$41,489$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$1,049,153$1,653,750$1,049,153$No---------------------------
Matej BlumelRedhawks (ANA)LW/RW242000-05-31CZENo205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm787,500$502,660$78,750$50,266$No---------------------------
Matthew SavoieRedhawks (ANA)C/LW/RW202004-01-01CANNo179 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$957,447$150,000$95,745$No---------------------------
Nick MalikRedhawks (ANA)G222002-04-26USANo179 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
Nikita QuappRedhawks (ANA)G212003-01-25GERNo203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$478,723$75,000$47,872$No---------------------------
Parker BellRedhawks (ANA)LW/RW212003-09-26CANNo205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Rasmus Asplund (contrat à 1 volet)Redhawks (ANA)C271997-12-03SWENo190 Lbs5 ft11NoNoAssign ManuallyNoNo12025-11-30FalseFalsePro & Farm650,000$412,366$650,000$412,366$No---------------------------
Ryan ORourke (sur la masse salariale)Redhawks (ANA)D222002-05-16CANNo181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$837,766$131,250$83,777$No---------------------------
Tanner LaczynskiRedhawks (ANA)C271997-06-01USANo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,521,750$971,330$152,175$97,133$No---------------------------
Ty NelsonRedhawks (ANA)D202004-03-30CANNo198 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$797,872$125,000$79,787$No---------------------------
Walker DuehrRedhawks (ANA)LW/RW271997-11-23USANo210 Lbs6 ft2NoNoTrade2025-11-30NoNo22025-11-16FalseFalsePro & Farm680,000$434,043$68,000$43,404$No680,000$--------680,000$--------No--------
William TrudeauRedhawks (ANA)D222002-10-11CANNo190 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$502,660$78,750$50,266$No787,500$--------787,500$--------No--------
Zach MetsaRedhawks (ANA)D261998-10-19USANo181 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm744,188$475,014$74,419$47,501$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.59191 Lbs6 ft11.28987,061$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Walker DuehrDominic JamesBrad Lambert34113
2Daniel SprongRasmus AsplundParker Bell30113
3Matej BlumelLiam FoudyJesse Puljujarvi20122
4Tanner LaczynskiChris TierneyAlex Beaucage16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsBrent Johnson34122
2Jackson DorringtonZach Metsa33122
3David JiricekHaakon Hanelt33122
4Isaak PhillipsDavid Jiricek0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Walker DuehrDominic JamesBrad Lambert50122
2Matej BlumelRasmus AsplundJesse Puljujarvi50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsZach Metsa50122
2Jackson DorringtonDavid Jiricek50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris TierneyJesse Puljujarvi50122
2Rasmus AsplundBrad Lambert50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsHaakon Hanelt50122
2Jackson DorringtonDavid Jiricek50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brad Lambert50122Isaak PhillipsDavid Jiricek50122
2Rasmus Asplund50122Zach MetsaJackson Dorrington50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominic JamesWalker Duehr50122
2Rasmus AsplundDaniel Sprong50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsBrent Johnson50122
2Jackson DorringtonDavid Jiricek50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel SprongBrad LambertWalker DuehrIsaak PhillipsDavid Jiricek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesse PuljujarviRasmus AsplundHaakon HaneltIsaak PhillipsDavid Jiricek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Sprong, Jesse Puljujarvi, Parker BellParker Bell, Haakon HaneltDaniel Sprong
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jackson Dorrington, David Jiricek, Isaak PhillipsJackson DorringtonJackson Dorrington, David Jiricek
Tirs de pénalité
Brad Lambert, Chris Tierney, Rasmus Asplund, Jesse Puljujarvi, Walker Duehr
Gardien
#1 : Kim Saarinen, #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
1Admirals11000000431000000000001100000043121.000459002042469372693243782835830206233.33%50100.00%032662452.24%35064953.93%21243848.40%598304580298590289
2Bills11000000862110000008620000000000021.000813210020424694826932437828281223254250.00%4250.00%032662452.24%35064953.93%21243848.40%598304580298590289
3Blood Miners1000000123-11000000123-10000000000010.5002240020424693226932437828332121253133.33%30100.00%032662452.24%35064953.93%21243848.40%598304580298590289
4Bulldogs1010000013-2000000000001010000013-200.000123002042469312693243782825102030300.00%5260.00%032662452.24%35064953.93%21243848.40%598304580298590289
5Eagles30200010915-630200010915-60000000000020.33391322002042469102269324378281373722708225.00%11190.91%032662452.24%35064953.93%21243848.40%598304580298590289
6Gorillas11000000615000000000001100000061521.0006713002042469272693243782837182028200.00%50100.00%132662452.24%35064953.93%21243848.40%598304580298590289
7Griffins311000101394110000007252010001067-140.667132134002042469101269324378288324577513323.08%16662.50%032662452.24%35064953.93%21243848.40%598304580298590289
8Moose201010008801010000034-11000100054120.500814220020424697926932437828511637475240.00%11554.55%032662452.24%35064953.93%21243848.40%598304580298590289
9Mountaineers1010000035-21010000035-20000000000000.000358002042469332693243782826719243133.33%2150.00%032662452.24%35064953.93%21243848.40%598304580298590289
10Octopus312000001213-1110000006422020000069-320.3331222340020424691102693243782811048855618316.67%10460.00%032662452.24%35064953.93%21243848.40%598304580298590289
11Reign20001001990100010003211000000167-130.750917260020424696826932437828522714595480.00%7357.14%032662452.24%35064953.93%21243848.40%598304580298590289
12Rocket21100000761000000000002110000076120.500711180020424695726932437828682438391119.09%9277.78%032662452.24%35064953.93%21243848.40%598304580298590289
13Saints220000001257110000005141100000074341.00012183000204246968269324378287435544012325.00%7185.71%032662452.24%35064953.93%21243848.40%598304580298590289
14Silver Knights22000000743220000007430000000000041.000712190020424695726932437828561323456116.67%9188.89%032662452.24%35064953.93%21243848.40%598304580298590289
15Titans11000000413110000004130000000000021.000459002042469372693243782827813345120.00%40100.00%032662452.24%35064953.93%21243848.40%598304580298590289
16White Wolves200010015501000000134-11000100021130.750571200204246967269324378287425414013215.38%8187.50%032662452.24%35064953.93%21243848.40%598304580298590289
17Wolves1010000034-1000000000001010000034-100.000358002042469272693243782826639205240.00%7185.71%032662452.24%35064953.93%21243848.40%598304580298590289
Total29111003023113100131574010126051914460201153494350.603113179292002042469981269324378289423395566771223024.59%1233075.61%132662452.24%35064953.93%21243848.40%598304580298590289
_Since Last GM Reset29111003023113100131574010126051914460201153494350.603113179292002042469981269324378289423395566771223024.59%1233075.61%132662452.24%35064953.93%21243848.40%598304580298590289
_Vs Conference2498020239484101363010125346711350101141383290.60494150244002042469801269324378288033014375561012322.77%962475.00%132662452.24%35064953.93%21243848.40%598304580298590289
_Vs Division966010114031954301010211110423000011920-1170.944406910900204246930326932437828292123176200411126.83%33972.73%032662452.24%35064953.93%21243848.40%598304580298590289

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2935W111317929298194233955667700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2911103023113100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
157410126051
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
144620115349
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1223024.59%1233075.61%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
269324378282042469
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
32662452.24%35064953.93%21243848.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
598304580298590289


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
212Eagles2Redhawks3WXXSommaire du match
322Redhawks3Octopus4LSommaire du match
538Redhawks3Octopus5LSommaire du match
858Mountaineers5Redhawks3LSommaire du match
1183White Wolves4Redhawks3LXXSommaire du match
1396Reign2Redhawks3WXSommaire du match
17127Silver Knights3Redhawks5WSommaire du match
19139Redhawks6Reign7LXXSommaire du match
22162Octopus4Redhawks6WSommaire du match
23169Redhawks7Saints4WSommaire du match
27193Redhawks4Rocket2WSommaire du match
28200Saints1Redhawks5WSommaire du match
32227Silver Knights1Redhawks2WSommaire du match
34236Redhawks4Griffins6LSommaire du match
36257Blood Miners3Redhawks2LXXSommaire du match
38269Redhawks2Griffins1WXXSommaire du match
40283Redhawks3Wolves4LSommaire du match
42293Moose4Redhawks3LSommaire du match
47326Titans1Redhawks4WSommaire du match
49345Redhawks1Bulldogs3LSommaire du match
51355Bills6Redhawks8WSommaire du match
53373Redhawks2White Wolves1WXSommaire du match
55385Redhawks4Admirals3WSommaire du match
56394Griffins2Redhawks7WSommaire du match
59418Eagles7Redhawks3LSommaire du match
61437Redhawks6Gorillas1WSommaire du match
63451Eagles6Redhawks3LSommaire du match
65459Redhawks3Rocket4LSommaire du match
67476Redhawks5Moose4WXSommaire du match
69486Redhawks-Rams-
70496Penguins-Redhawks-
74520Bears-Redhawks-
76532Redhawks-Reign-
78551Rocket-Redhawks-
80564Redhawks-Eagles-
84587Wolf Pack-Redhawks-
86607Redhawks-Crunch-
88617Redhawks-Bills-
89626Crunch-Redhawks-
92649Grisards-Redhawks-
95673Redhawks-Octopus-
96683Bulldogs-Redhawks-
100709Redhawks-Whalers-
101715Silver Knights-Redhawks-
104737Redhawks-Gulls-
106747White Wolves-Redhawks-
109772Roadrunners-Redhawks-
110784Redhawks-Blood Miners-
114805Redhawks-Eagles-
115812Bulldogs-Redhawks-
117833Redhawks-Gulls-
119843Rocket-Redhawks-
122867Admirals-Redhawks-
124879Redhawks-Phantoms-
126900Mountaineers-Redhawks-
127909Redhawks-Norsemen-
130933Crunch-Redhawks-
133954Redhawks-Mountaineers-
135961Redhawks-Octopus-
136971Gorillas-Redhawks-
139991Redhawks-Mountaineers-
1401002Mountaineers-Redhawks-
1421020Redhawks-Saints-
1441033Reign-Redhawks-
1461045Redhawks-Saints-
1471057Redhawks-Bills-
1491070White Wolves-Redhawks-
1531095Redhawks-Roadrunners-
1541104Gorillas-Redhawks-
1571128Redhawks-Blossom Bytes-
1581137Saints-Redhawks-
1621161Admirals-Redhawks-
1641178Redhawks-Rocket-
1671193Blood Miners-Redhawks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681201Redhawks-Silver Knights-
1711221Reign-Redhawks-
1731234Redhawks-Roadrunners-
1751247Redhawks-Americans-
1771259Redhawks-Silver Knights-
1791270Octopus-Redhawks-
1821284Redhawks-Senators-
1871312Octopus-Redhawks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3414
Assistance34,47977,204
Assistance PCT91.94%93.58%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 7446 - 93.07% 180,251$2,703,770$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,154,522$ 2,464,469$ 2,346,969$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,675$ 1,112,886$ 26 3

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,686,535$ 120 16,300$ 1,956,000$




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