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Connexion

Redhawks
GP: 60 | W: 30 | L: 25 | OTL: 5 | P: 65
GF: 236 | GA: 230 | PP%: 25.84% | PK%: 71.04%
DG: Andre | Morale : 92 | Moyenne d’équipe : N/A
Prochains matchs #991 vs Mountaineers

Centre de jeu
Redhawks
30-25-5, 65pts
5
FINAL
7 Octopus
30-24-2, 62pts
Team Stats
W1SéquenceW1
16-12-3Fiche domicile20-10-1
14-13-2Fiche domicile10-14-1
5-4-1Derniers 10 matchs6-4-0
3.93Buts par match 4.18
3.83Buts contre par match 3.89
25.84%Pourcentage en avantage numérique31.52%
71.04%Pourcentage en désavantage numérique70.90%
Gorillas
26-31-7, 59pts
3
FINAL
4 Redhawks
30-25-5, 65pts
Team Stats
L2SéquenceW1
14-13-3Fiche domicile16-12-3
12-18-4Fiche domicile14-13-2
7-3-0Derniers 10 matchs5-4-1
3.19Buts par match 3.93
3.77Buts contre par match 3.83
25.18%Pourcentage en avantage numérique25.84%
70.97%Pourcentage en désavantage numérique71.04%
Redhawks
30-25-5, 65pts
Jour 139
Mountaineers
35-23-5, 75pts
Statistiques d’équipe
W1SéquenceW3
16-12-3Fiche domicile19-9-2
14-13-2Fiche visiteur16-14-3
5-4-110 derniers matchs5-5-0
3.93Buts par match 3.35
3.83Buts contre par match 3.35
25.84%Pourcentage en avantage numérique30.53%
71.04%Pourcentage en désavantage numérique72.43%
Mountaineers
35-23-5, 75pts
Jour 140
Redhawks
30-25-5, 65pts
Statistiques d’équipe
W3SéquenceW1
19-9-2Fiche domicile16-12-3
16-14-3Fiche visiteur14-13-2
5-5-010 derniers matchs5-4-1
3.35Buts par match 3.93
3.27Buts contre par match 3.93
30.53%Pourcentage en avantage numérique25.84%
72.43%Pourcentage en désavantage numérique71.04%
Redhawks
30-25-5, 65pts
Jour 142
Saints
29-23-10, 68pts
Statistiques d’équipe
W1SéquenceL1
16-12-3Fiche domicile17-9-4
14-13-2Fiche visiteur12-14-6
5-4-110 derniers matchs4-5-1
3.93Buts par match 3.90
3.83Buts contre par match 3.90
25.84%Pourcentage en avantage numérique36.05%
71.04%Pourcentage en désavantage numérique69.31%
Meneurs d'équipe
Buts
Rasmus Asplund
30
Passes
Rasmus Asplund
44
Points
Rasmus Asplund
74
Plus/Moins
Matej Blumel
19
Victoires
Benjamin Gaudreau
14
Pourcentage d’arrêts
Joe Vrbetic
0.916

Statistiques d’équipe
Buts pour
236
3.93 GFG
Tirs pour
2069
34.48 Avg
Pourcentage en avantage numérique
25.8%
69 GF
Début de zone offensive
37.8%
Buts contre
230
3.83 GAA
Tirs contre
1904
31.73 Avg
Pourcentage en désavantage numérique
71.0%%
75 GA
Début de la zone défensive
35.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance7,346
Billets de saison800


Informations de la formation

Équipe Pro31
Équipe Mineure21
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
1Liam FoudyX100.00605092707175936361646367655159080002411,653,750$
2Chris TierneyX100.0063529175737670717268676965616706400301650,000$
3Tanner LaczynskiX100.00605090717775856771676666655460078002711,521,750$
4Rasmus AsplundX100.0060509270727592657466656865556008000271650,000$
5Walker DuehrXX100.0075509566797588696165677165546008600272680,000$
6Daniel SprongXX100.00705095757479847161686667655864078002711,175,000$
7Alex BeaucageXX100.00606060606070706060606060605359074002311,023,750$
8Matej BlumelXX100.0060509273777593676167686765475707700241787,500$
9Brad LambertX100.00625091706778916464666268654055065002111,500,000$
10Matthew SavoieXXX100.00605091716779926575666467654055077002011,500,000$
11Dominic JamesXXX100.0060606060607070606060606060405508101221650,000$
12Parker BellXX100.0060606060607070606060606060405507901212650,000$
13Isaak PhillipsX100.00625084647878926225636271654957080002311,400,000$
14Zach MetsaX100.0060606060607070606060606060526207300261744,188$
15Ryan ORourkeX100.00606060606070706060606060605159072002211,312,500$
16David JiricekX100.00625090687879836625676569654055075002111,500,000$
17Brent JohnsonX100.0060606060607070606060606060405508201212825,000$
18Jackson DorringtonX100.0060606060607070606060606060405507201202750,000$
Rayé
1Jakub BrabenecXXX100.0060606060607070606060606060485505600211825,000$
2Jared DavidsonX100.0060606060607070606060606060405504601221750,000$
3William TrudeauX100.0060606060607070606060606060405504000222787,500$
4Finn Harding (R)X100.0060606060607070606060606060465503400193650,000$
5Isaac BelliveauX100.0060606060607070606060606060405502900221700,000$
6Haakon HaneltXXXX100.0060606060607070606060606060405505700211825,000$
7Ty NelsonX100.00606060606070706060606060604855045002011,250,000$
MOYENNE D’ÉQUIPE100.006156746566737863606362646247570670
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 Vrbetic100.0060707060606060606060601108400221700,000$
2Domenic Divincentiis100.006070706060606060606060485507000201750,000$
Rayé
1Benjamin Gaudreau100.0060707060606060606060605055050002111,250,000$
2Nikita Quapp100.0060707060606060606060601106900211750,000$
3Nick Malik100.0060707060606060606060601106800221650,000$
4Kim Saarinen (R)100.0060707060606060606060601105900183975,000$
MOYENNE D’ÉQUIPE100.00607070606060606060606017190670
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)C603044748201076115160509518.75%40116119.369223125196022121825252.82%10983516001.2737011543
2Daniel SprongRedhawks (ANA)LW/RW5323335614533572581336110717.29%1886116.2543710740000347151.85%1084216011.3001205524
3Matej BlumelRedhawks (ANA)LW/RW5817345119151554561485010011.49%1676713.234121617134000001058.33%243817001.3300021033
4Walker DuehrRedhawks (ANA)LW/RW56203050-1057457552204611239.80%3398917.678162426173000263449.33%753117001.0103504522
5Matthew SavoieRedhawks (ANA)C/LW/RW47202545-1622205877172499711.63%2587718.671014243615410141051053.76%5583610001.0337202203
6Chris TierneyRedhawks (ANA)C51182240-958406072181581229.94%1988317.3388162510600061421153.98%7913920000.9017134212
7Jesse PuljujarviDucksLW/RW40132033-11756649107277012.15%1561115.29561115760001240150.00%46326011.0800001050
8Brad LambertRedhawks (ANA)C54122032253455951117335810.26%2180414.892467581012620146.37%1791712000.8002216111
9Dominic JamesRedhawks (ANA)C/LW/RW42171330176735713660153428.33%853312.7074119800002102049.44%35675001.1200421231
10Liam FoudyRedhawks (ANA)C59131225132210445783135315.66%1669211.73000040000133054.10%611010000.7200011200
11David JiricekRedhawks (ANA)D58817258473562739436338.51%67130122.43235131761014175110%02727000.3800007202
12Isaak PhillipsRedhawks (ANA)D606162266430111888336297.23%80140723.46538162010004203010%02439000.3100015011
13Tanner LaczynskiRedhawks (ANA)C47991831515403488303410.23%134469.50000030114562056.41%117157000.8100201110
14Jakub BrabenecRedhawks (ANA)C/LW/RW2961016-10571560425073212.00%1548416.691342520003530143.33%18036000.6611102021
15Parker BellRedhawks (ANA)LW/RW494121676230502635182811.43%950410.30112223000000041.38%2956000.6300024020
16Jackson DorringtonRedhawks (ANA)D522141621556588666323223.17%52109621.0913481660000132000%01526000.2900067000
17Zach MetsaRedhawks (ANA)D5301515-91555576525618220%55103819.6003311164000071000%01828000.2900236000
18Ryan ORourkeRedhawks (ANA)D47010106843065665219230%4990919.350225460002121000%01426000.2200015000
19Alex BeaucageRedhawks (ANA)LW/RW49347-1411565333816217.89%84749.68000025000000050.00%1625000.3000102001
20Brent JohnsonRedhawks (ANA)D43167995354741339113.03%3968716.0000004000013000%0515000.2000304000
21Haakon HaneltRedhawks (ANA)C/LW/RW/D18246234203014237118.70%1328115.66000040000480053.06%4986000.4300013001
22Finn HardingRedhawks (ANA)D13055-139514158360%1224218.68022126000019000%003000.4100010000
23Isaac BelliveauRedhawks (ANA)D3022-495257220%45317.8401111000003000%013000.7500010000
24Ty NelsonRedhawks (ANA)D110221011512122000%716615.180000100004000%023000.2400100000
25Jared DavidsonRedhawks (ANA)C1110110001112100.00%0171.62000010000000100.00%200001.1200000000
26William TrudeauRedhawks (ANA)D110001321020104010%1419517.80000012000010000%00400000101000
Statistiques d’équipe totales ou en moyenne1074225379604671284630137712012002642113611.24%6481749216.29671101772291982336461498261352.07%3689426333020.69828272673272725
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
1Benjamin GaudreauRedhawks (ANA)32141040.8873.821820201161023582000.61921322300
2Kim SaarinenRedhawks (ANA)1610500.8883.468150047420240101.0003162012
3Domenic DivincentiisRedhawks (ANA)154810.8483.857320047310176200.71471114100
4Joe VrbeticRedhawks (ANA)82100.9162.782160010119712000042000
5Nick MalikRedhawks (ANA)10100.8445.00600053222000010000
Statistiques d’équipe totales ou en moyenne72302550.8823.713644202251904109150316060412


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$283,165$102,375$28,316$No---------------------------
Benjamin GaudreauRedhawks (ANA)G212003-01-11CANNo174 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$345,745$125,000$34,574$No---------------------------
Brad LambertRedhawks (ANA)C212003-12-19FINNo173 Lbs6 ft1NoNoTrade2026-01-13NoNo1FalseFalsePro & Farm1,500,000$414,894$150,000$41,489$No---------------------------
Brent JohnsonRedhawks (ANA)D212003-03-20USANo174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$228,191$82,500$22,819$No825,000$--------825,000$--------No--------
Chris TierneyRedhawks (ANA)C301994-07-01CANNo191 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-30FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Daniel SprongRedhawks (ANA)LW/RW271997-03-17CANNo195 Lbs6 ft0NoNoFree AgentNoNo12025-05-21FalseFalsePro & Farm1,175,000$325,000$117,500$32,500$No---------------------------
David JiricekRedhawks (ANA)D212003-11-28CZENo204 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$414,894$65,000$17,979$No---------------------------
Domenic DivincentiisRedhawks (ANA)G202004-03-04CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$207,447$75,000$20,745$No---------------------------
Dominic JamesRedhawks (ANA)C/LW/RW222002-07-03USANo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Finn HardingRedhawks (ANA)D192005-05-02CANYes192 Lbs6 ft0NoNoDraftNoNo32025-08-20FalseFalsePro & Farm650,000$179,787$65,000$17,979$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Haakon HaneltRedhawks (ANA)C/LW/RW/D212003-06-01GERNo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm825,000$228,191$82,500$22,819$No---------------------------
Isaac BelliveauRedhawks (ANA)D222002-11-26CANNo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$193,617$70,000$19,362$No---------------------------
Isaak PhillipsRedhawks (ANA)D232001-09-28CANNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$387,234$140,000$38,723$No---------------------------
Jackson DorringtonRedhawks (ANA)D202004-04-13USANo192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$207,447$75,000$20,745$No750,000$--------750,000$--------No--------
Jakub BrabenecRedhawks (ANA)C/LW/RW212003-09-11CZENo176 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm825,000$228,191$82,500$22,819$No---------------------------
Jared DavidsonRedhawks (ANA)C222002-07-07CANNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$207,447$75,000$20,745$No---------------------------
Joe VrbeticRedhawks (ANA)G222002-10-24CANNo187 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$193,617$70,000$19,362$No---------------------------
Kim SaarinenRedhawks (ANA)G182006-07-22FINYes187 Lbs6 ft2NoNoDraftNoNo32025-08-20FalseFalsePro & Farm975,000$269,681$65,000$17,979$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$444,556$1,653,750$444,556$No---------------------------
Matej BlumelRedhawks (ANA)LW/RW242000-05-31CZENo205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm787,500$217,819$78,750$21,782$No---------------------------
Matthew SavoieRedhawks (ANA)C/LW/RW202004-01-01CANNo179 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$414,894$150,000$41,489$No---------------------------
Nick MalikRedhawks (ANA)G222002-04-26USANo179 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Nikita QuappRedhawks (ANA)G212003-01-25GERNo203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$207,447$75,000$20,745$No---------------------------
Parker BellRedhawks (ANA)LW/RW212003-09-26CANNo205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm650,000$179,787$65,000$17,979$No650,000$--------650,000$--------No--------
Rasmus Asplund (contrat à 1 volet)Redhawks (ANA)C271997-12-03SWENo190 Lbs5 ft11NoNoAssign ManuallyNoNo12025-11-30FalseFalsePro & Farm650,000$174,731$650,000$174,731$No---------------------------
Ryan ORourkeRedhawks (ANA)D222002-05-16CANNo181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$363,032$131,250$36,303$No---------------------------
Tanner LaczynskiRedhawks (ANA)C271997-06-01USANo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,521,750$420,910$152,175$42,091$No---------------------------
Ty NelsonRedhawks (ANA)D202004-03-30CANNo198 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$345,745$125,000$34,574$No---------------------------
Walker DuehrRedhawks (ANA)LW/RW271997-11-23USANo210 Lbs6 ft2NoNoTrade2025-11-30NoNo22025-11-16FalseFalsePro & Farm680,000$188,085$68,000$18,809$No680,000$--------680,000$--------No--------
William TrudeauRedhawks (ANA)D222002-10-11CANNo190 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$217,819$78,750$21,782$No787,500$--------787,500$--------No--------
Zach MetsaRedhawks (ANA)D261998-10-19USANo181 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm744,188$205,839$74,419$20,584$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
2Brad LambertRasmus AsplundDaniel Sprong30113
3Matej BlumelDominic JamesLiam Foudy20122
4Walker DuehrTanner LaczynskiParker Bell16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsBrent Johnson34122
2Jackson DorringtonZach Metsa33122
3David JiricekRyan ORourke33122
4Isaak PhillipsDavid Jiricek0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex BeaucageChris TierneyMatthew Savoie50122
2Matej BlumelRasmus AsplundDaniel Sprong50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsZach Metsa50122
2Jackson DorringtonDavid Jiricek50122
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 DorringtonDavid Jiricek50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Savoie50122Isaak PhillipsDavid Jiricek50122
2Rasmus Asplund50122Zach MetsaJackson Dorrington50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Daniel SprongAlex Beaucage50122
2Rasmus AsplundBrad Lambert50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsBrent Johnson50122
2Jackson DorringtonDavid Jiricek50122
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, Tanner Laczynski, 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 : Domenic Divincentiis, #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
1Admirals220000001174110000007431100000043141.000111728005581941273654689715426317654414642.86%10190.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
2Bears10000010651100000106510000000000021.00069150055819412366546897154235729264125.00%7357.14%0730136853.36%684128553.23%47896349.64%126865911726051204593
3Bills2200000014104110000008621100000064241.00014223600558194128165468971542602552579333.33%11372.73%0730136853.36%684128553.23%47896349.64%126865911726051204593
4Blood Miners210000017701000000123-11100000054130.7507916005581941269654689715426428384910220.00%40100.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
5Bulldogs312000001113-221100000101001010000013-220.333111829005581941297654689715427725897414750.00%17852.94%0730136853.36%684128553.23%47896349.64%126865911726051204593
6Crunch30300000510-52020000015-41010000045-100.0005101500558194127665468971542641941471218.33%18666.67%0730136853.36%684128553.23%47896349.64%126865911726051204593
7Eagles504000101327-1430200010915-620200000412-820.200132033005581941216765468971542225675211014321.43%21385.71%0730136853.36%684128553.23%47896349.64%126865911726051204593
8Gorillas220000001046110000004311100000061541.00010132300558194125765468971542642949506233.33%12191.67%2730136853.36%684128553.23%47896349.64%126865911726051204593
9Griffins311000101394110000007252010001067-140.6671321340055819412101654689715428324577513323.08%16662.50%0730136853.36%684128553.23%47896349.64%126865911726051204593
10Grisards1010000013-21010000013-20000000000000.00011200558194123665468971542208920300.00%2150.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
11Gulls211000001210200000000000211000001210220.500122133005581941282654689715427628705411327.27%5260.00%1730136853.36%684128553.23%47896349.64%126865911726051204593
12Moose201010008801010000034-11000100054120.5008142200558194127965468971542511637475240.00%11554.55%0730136853.36%684128553.23%47896349.64%126865911726051204593
13Mountaineers3120000013130211000009721010000046-220.3331322350055819412112654689715428519885916425.00%8450.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
14Norsemen1010000014-3000000000001010000014-300.0001120055819412386546897154231182117800.00%3166.67%0730136853.36%684128553.23%47896349.64%126865911726051204593
15Octopus513000011923-411000000642403000011319-630.3001935540055819412178654689715421896716210428517.86%21861.90%0730136853.36%684128553.23%47896349.64%126865911726051204593
16Penguins1010000015-41010000015-40000000000000.0001230055819412286546897154232125024100.00%5180.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
17Phantoms11000000734000000000001100000073421.0007111800558194123965468971542381234324250.00%7185.71%0730136853.36%684128553.23%47896349.64%126865911726051204593
18Rams11000000431000000000001100000043121.00048120055819412336546897154222925267114.29%5180.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
19Reign31001001151051000100032121000001128450.8331527420055819412110654689715427534218110550.00%8362.50%0730136853.36%684128553.23%47896349.64%126865911726051204593
20Roadrunners11000000642110000006420000000000021.000611170055819412376546897154222115285240.00%000%0730136853.36%684128553.23%47896349.64%126865911726051204593
21Rocket4210000115132210000018712110000076150.62515233800558194121406546897154211044619623417.39%13561.54%0730136853.36%684128553.23%47896349.64%126865911726051204593
22Saints220000001257110000005141100000074341.000121830005581941268654689715427435544012325.00%7185.71%0730136853.36%684128553.23%47896349.64%126865911726051204593
23Silver Knights321000001111032100000111100000000000040.6671118290055819412956546897154210025356310330.00%15380.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
24Titans11000000413110000004130000000000021.0004590055819412376546897154227813345120.00%40100.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
25Whalers11000000431000000000001100000043121.00046100055819412306546897154235101927100.00%2150.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
26White Wolves30101001911-220100001710-31000100021130.5009132200558194121026546897154212340606215320.00%15473.33%0730136853.36%684128553.23%47896349.64%126865911726051204593
27Wolf Pack1010000014-31010000014-30000000000000.00012300558194124165468971542331110322150.00%5260.00%0730136853.36%684128553.23%47896349.64%126865911726051204593
28Wolves1010000034-1000000000001010000034-100.0003580055819412276546897154226639205240.00%7185.71%0730136853.36%684128553.23%47896349.64%126865911726051204593
Total602425030352362306311312010231191163291113020121171143650.54223638261800558194122069654689715421904654128513982676925.84%2597571.04%3730136853.36%684128553.23%47896349.64%126865911726051204593
_Since Last GM Reset602425030352362306311312010231191163291113020121171143650.54223638261800558194122069654689715421904654128513982676925.84%2597571.04%3730136853.36%684128553.23%47896349.64%126865911726051204593
_Vs Conference44171802025173170324118010139690620610010127780-3470.534173280453005581941214906546897154214154928649951975025.38%1865570.43%2730136853.36%684128553.23%47896349.64%126865911726051204593
_Vs Division1691101013736211664010112518710370000248444250.78173125198005581941256365468971542549199361369721926.39%581868.97%1730136853.36%684128553.23%47896349.64%126865911726051204593

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6065W1236382618206919046541285139800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6024253035236230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3113121023119116
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2911132012117114
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2676925.84%2597571.04%3
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
6546897154255819412
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
730136853.36%684128553.23%47896349.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
126865911726051204593


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
69486Redhawks4Rams3WSommaire du match
70496Penguins5Redhawks1LSommaire du match
74520Bears5Redhawks6WXXSommaire du match
76532Redhawks6Reign1WSommaire du match
78551Rocket2Redhawks4WSommaire du match
80564Redhawks3Eagles7LSommaire du match
84587Wolf Pack4Redhawks1LSommaire du match
86607Redhawks4Crunch5LSommaire du match
88617Redhawks6Bills4WSommaire du match
89626Crunch3Redhawks1LSommaire du match
92649Grisards3Redhawks1LSommaire du match
95673Redhawks2Octopus3LXXSommaire du match
96683Bulldogs5Redhawks8WSommaire du match
100709Redhawks4Whalers3WSommaire du match
101715Silver Knights7Redhawks4LSommaire du match
104737Redhawks4Gulls7LSommaire du match
106747White Wolves6Redhawks4LSommaire du match
109772Roadrunners4Redhawks6WSommaire du match
110784Redhawks5Blood Miners4WSommaire du match
114805Redhawks1Eagles5LSommaire du match
115812Bulldogs5Redhawks2LSommaire du match
117833Redhawks8Gulls3WSommaire du match
119843Rocket5Redhawks4LXXSommaire du match
122867Admirals4Redhawks7WSommaire du match
124879Redhawks7Phantoms3WSommaire du match
126900Mountaineers2Redhawks6WSommaire du match
127909Redhawks1Norsemen4LSommaire du match
130933Crunch2Redhawks0LSommaire du match
133954Redhawks4Mountaineers6LSommaire du match
135961Redhawks5Octopus7LSommaire du match
136971Gorillas3Redhawks4WSommaire du match
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
Assistance70,272157,457
Assistance PCT90.67%92.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 7346 - 91.83% 177,819$5,512,375$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,336,164$ 2,753,219$ 2,635,719$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,211$ 2,254,810$ 29 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,778,185$ 52 17,836$ 927,472$




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