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HAWAII PUNCH
GP: 31 | W: 15 | L: 14 | OTL: 2 | P: 32
GF: 103 | GA: 108 | PP%: 14.75% | PK%: 73.91%
DG: Sean S | Morale : 81 | Moyenne d’équipe : 64
Prochains matchs #349 vs DETROIT STEELERS

Centre de jeu
SAN JOSE AVACADOES
14-16-1, 29pts
2
4 HAWAII PUNCH
15-14-2, 32pts
Team Stats
L5SéquenceL1
10-6-0Fiche domicile8-6-1
4-10-1Fiche domicile7-8-1
4-6-0Derniers 10 matchs5-4-1
2.74Buts par match 3.32
3.77Buts contre par match 3.48
26.00%Pourcentage en avantage numérique14.75%
68.60%Pourcentage en désavantage numérique73.91%
HAWAII PUNCH
15-14-2, 32pts
4
6 BROOKLYN GRINDERS
16-13-2, 34pts
Team Stats
L1SéquenceW2
8-6-1Fiche domicile9-6-1
7-8-1Fiche domicile7-7-1
5-4-1Derniers 10 matchs7-3-0
3.32Buts par match 3.42
3.48Buts contre par match 3.61
14.75%Pourcentage en avantage numérique16.22%
73.91%Pourcentage en désavantage numérique87.23%
DETROIT STEELERS
15-12-5, 35pts
Jour 59
HAWAII PUNCH
15-14-2, 32pts
Statistiques d’équipe
SOL1SéquenceL1
10-4-1Fiche domicile8-6-1
5-8-4Fiche visiteur7-8-1
5-4-110 derniers matchs5-4-1
3.72Buts par match 3.32
3.41Buts contre par match 3.32
26.79%Pourcentage en avantage numérique14.75%
79.67%Pourcentage en désavantage numérique73.91%
HAWAII PUNCH
15-14-2, 32pts
Jour 60
SYRACUSE BABY BULLS
17-11-4, 38pts
Statistiques d’équipe
L1SéquenceL1
8-6-1Fiche domicile5-7-4
7-8-1Fiche visiteur12-4-0
5-4-110 derniers matchs4-6-0
3.32Buts par match 3.88
3.48Buts contre par match 3.88
14.75%Pourcentage en avantage numérique23.08%
73.91%Pourcentage en désavantage numérique77.78%
CHICAGO UNDERTAKERS
14-13-4, 32pts
Jour 62
HAWAII PUNCH
15-14-2, 32pts
Statistiques d’équipe
W4SéquenceL1
8-8-0Fiche domicile8-6-1
6-5-4Fiche visiteur7-8-1
7-2-110 derniers matchs5-4-1
2.71Buts par match 3.32
3.13Buts contre par match 3.32
42.86%Pourcentage en avantage numérique14.75%
80.77%Pourcentage en désavantage numérique73.91%
Meneurs d'équipe
Buts
Lukas Reichel
19
Passes
Lukas Reichel
18
Points
Lukas Reichel
37
Plus/Moins
Tomas Jurco
10
Victoires
Samuel Ersson
9
Pourcentage d’arrêts
Samuel Ersson
0.9

Statistiques d’équipe
Buts pour
103
3.32 GFG
Tirs pour
907
29.26 Avg
Pourcentage en avantage numérique
14.8%
9 GF
Début de zone offensive
36.4%
Buts contre
108
3.48 GAA
Tirs contre
900
29.03 Avg
Pourcentage en désavantage numérique
73.9%%
24 GA
Début de la zone défensive
36.6%
Informations de l'équipe

Directeur généralSean S
EntraîneurJared Bednar
DivisionNorris
ConférenceNeid Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,747
Billets de saison300


Informations de la formation

Équipe Pro39
Équipe Mineure22
Limite contact 61 / 66
Espoirs0


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
1Lukas Reichel (R)XX100.00391077868591948151797663589089079751234800,000$
2Matthew Knies (R)XXX100.0049779878786897654697463537375079722235800,000$
3Marko DanoXXX100.00288996175768386628478605599990797213131,321,313$
4Jan JenikX100.0059873888685877649666564669174078712251650,000$
5Juuso Pärssinen (R)XX100.0019197899693917258656461538875079702241897,000$
6Adam Fantilli (R)X100.00805764828580856655666860637978068691212900,000$
7Macklin Celebrini (R)X100.0022178727874736961686764607868080661193900,000$
8Jack DruryXX100.0028794877877886662616056609675080662251600,000$
9Tomas JurcoX100.00292577617883756457666573619993079662321600,000$
10Matthew Wood (R)XXX100.005199797570687248646468587474079651202900,000$
11Quentin Musty (R)X100.00656578737573746643656461586573079651202800,000$
12Ryan Greene (R)X100.00181880687269676752595862577069078612211700,000$
13Josh JacobsX100.00887033727878846940534559589789079682291600,000$
14T.J. BrodieX100.00999715637558774633695957489993078650351600,000$
15Julius BergmanX100.00887130608149775540525165458990081642301600,000$
16Beau Akey (R)X100.00716365657363655744595665446770080631202600,000$
17Calle Odelius (R)X100.009198717567726444696460456470078622211600,000$
18Cameron Whynot (R)X100.00856462608158605544524958446357060602225700,000$
Rayé
1Ivan Miroshnichenko (R)XXX100.0029199848585886460616063617869073661211800,000$
2Jeremy MorinX100.0099999617760795748555670509999049640341600,000$
3Patrice CormierXX100.0020399548159677085696266579999073640352600,000$
4Matt Savoie (R)XX100.0025199798182756159585660668273059631211900,000$
5Akil ThomasX100.0021199747383845238605554448370049602252650,000$
6Ryder Ritchie (R)XXX100.00261078656367666248626159655863054592193700,000$
7Luke Misa (R)X100.001189646365646352586158575962053582203650,000$
8Cam Squires (R)X100.0010382697067676247595959486057049582202500,000$
9Mikhail Abramov (R)X100.001195657455645353495559656464049552241500,000$
10Ty Voit (R)XX100.00445258717357604945464659485461049542225600,000$
11Michael Del ZottoX100.0022199597780807645706576599999073690352700,000$
12Theo Lindstein (R)X100.003919977747473624459586045674065611202800,000$
13Jett WooX100.003197597974675844575463588375049592251650,000$
14Haakon Hänelt (R)XXXX100.00686246717457585166565358486361049592225600,000$
15Tarin Smith (R)X100.00544928625956586044515665465459049570193800,000$
16Luke Prokop (R)X100.00291480628065655144514858476953049562234500,000$
17Matvei Shuravin (R)X100.0018198646366675944595557405863054562193650,000$
MOYENNE D’ÉQUIPE100.0040257670777174635061606254767506763
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
1Samuel Ersson100.0074727477766572696967568669080712261500,000$
2Devon Levi (R)99.0070686776695862555761587969072642234600,000$
Rayé
1Sam Montembeault100.0063706981715966636866609576078682291702,000$
2Joel Hofer (R)100.0073737277746064625861608976072672253550,000$
MOYENNE D’ÉQUIPE99.757071717873616662636459877307668
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jared Bednar60758575807570CAN5341,300,000$


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
1Lukas ReichelHAWAII PUNCH (HAW)C/LW311918379202835119246515.97%1857118.45011140000004050.31%4771911001.2911000224
2Jesper BoqvistHAWAII TYPHOONC/LW/RW23101828820195095316410.53%1451022.201015371123521161.54%392215001.1001000230
3Matthew KniesHAWAII PUNCH (HAW)C/LW/RW31111627-780404311432789.65%1759419.1725712510001351047.46%59366000.9100000411
4Marko DanoHAWAII PUNCH (HAW)C/LW/RW31111324900202492244411.96%1043914.1700000000002050.00%20198001.0900000132
5Jan JenikHAWAII PUNCH (HAW)RW31149230100385184285516.67%1254217.491122351234622249.18%1222610110.8501000202
6Jack DruryHAWAII PUNCH (HAW)C/LW284131710073833152512.12%640714.54178345000001051.13%311144000.8300000100
7Matthew WoodHAWAII PUNCH (HAW)C/LW/RW31781520093664173810.94%740813.1800007000030052.59%135112000.7300000111
8Juuso PärssinenHAWAII PUNCH (HAW)C/LW315914-90031647182810.64%1336211.69000090000170038.24%34136000.7700000120
9Adam FantilliHAWAII PUNCH (HAW)C847113751572471616.67%314518.242132121011210042.24%11663001.5100001102
10Tomas JurcoHAWAII PUNCH (HAW)RW312911108022332061410.00%1041913.5200000000000036.36%1129000.5200000000
11Quentin MustyHAWAII PUNCH (HAW)LW31551044042453192316.13%1154317.520000380002560048.48%33412000.3711000001
12Macklin CelebriniHAWAII PUNCH (HAW)C25347-6408202662211.54%22259.0400027000071044.55%21115000.6201000001
13Beau AkeyHAWAII PUNCH (HAW)D3107743557252339190%5375924.50011256000067000%0530000.1800100000
14Calle OdeliusHAWAII PUNCH (HAW)D2825720042820121010.00%3258821.01101547000027000%0618000.2400000000
15Julius BergmanHAWAII PUNCH (HAW)D3107703610623017660%2250016.1600005011152000%0012000.2800101000
16Cameron WhynotHAWAII PUNCH (HAW)D17167-1315562317665.88%2434720.440000100003010%0112000.4000010010
17Michael Del ZottoHAWAII PUNCH (HAW)D14246-200219154513.33%1027919.970000000001110%0410000.4300000001
18Josh JacobsHAWAII PUNCH (HAW)D271451051595262512124.00%3159922.20101431000048000%0320000.1700100000
19Ryder RitchieHAWAII PUNCH (HAW)C/LW/RW8044-200258150%1749.3200000000000033.33%302001.0711000001
20T.J. BrodieHAWAII PUNCH (HAW)D310336240712212340%1851116.50000439011170000%0123000.1200000000
21Luke MisaHAWAII PUNCH (HAW)C9022-1003105560%411212.49000000000120048.78%4103000.3612000000
22Matt SavoieHAWAII PUNCH (HAW)C/RW4000000022010%1389.7300000000170050.00%22000000000000
23Ivan MiroshnichenkoHAWAII PUNCH (HAW)C/LW/RW14000000010010%0231.710000000000000%00000000000000
24Theo LindsteinHAWAII PUNCH (HAW)D4000-400552110%48721.960000200008000%00100000000000
25Ryan GreeneHAWAII PUNCH (HAW)C10000020291010%5939.3500000000000058.06%312200000000000
26Patrice CormierHAWAII PUNCH (HAW)C/LW14000000000000%040.290000000000000%00000000000000
27Matvei ShuravinHAWAII PUNCH (HAW)D3000300021010%05719.230000600001000%00100000000000
Statistiques d’équipe totales ou en moyenne577101171272392243062563290727655011.14%328925016.0391625424783581455913549.12%1645197225110.5948312151316
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
1Samuel ErssonHAWAII PUNCH (HAW)169600.9002.939210045450245111.00021511111
2Devon LeviHAWAII PUNCH (HAW)123720.8643.936870045331177020.6673123100
3Joel HoferHAWAII PUNCH (HAW)53100.8793.23260001411665101.000243000
Statistiques d’équipe totales ou en moyenne33151420.8843.341870001048974872373117211


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam FantilliHAWAII PUNCH (HAW)C212004-10-12CANYes189 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-02FalseFalsePro & Farm900,000$566,883$900,000$566,883$No900,000$--------40,000$--------No--------
Akil ThomasHAWAII PUNCH (HAW)C252000-01-02CANNo181 Lbs5 ft11NoNoN/ANoYes2FalseFalsePro & Farm650,000$409,416$65,000$40,942$No650,000$--------40,000$--------No--------
Beau AkeyHAWAII PUNCH (HAW)D202005-02-11CANYes211 Lbs6 ft5NoNoAssign ManuallyNoNo22024-07-08FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$--------40,000$--------No--------
Calle OdeliusHAWAII PUNCH (HAW)D212004-05-30SWEYes189 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Cam SquiresHAWAII PUNCH (HAW)RW202005-04-11CANYes172 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-09FalseFalsePro & Farm500,000$314,935$50,000$31,494$No500,000$--------40,000$--------No--------
Cameron WhynotHAWAII PUNCH (HAW)D222003-06-01CANYes231 Lbs6 ft6NoNoN/ANoNo52025-06-12FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$700,000$700,000$700,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Devon LeviHAWAII PUNCH (HAW)G232001-12-27CANYes197 Lbs6 ft0NoNoTrade2025-07-13NoNo42024-06-09FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$600,000$------40,000$40,000$40,000$------NoNoNo------
Haakon HäneltHAWAII PUNCH (HAW)C/LW/RW/D222003-06-01GERYes190 Lbs6 ft3NoNoN/ANoNo52025-06-12FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$600,000$600,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Ivan MiroshnichenkoHAWAII PUNCH (HAW)C/LW/RW212004-02-04RUSYes189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$503,896$80,000$50,390$No---------------------------
Jack DruryHAWAII PUNCH (HAW)C/LW252000-02-03USANo198 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Jan JenikHAWAII PUNCH (HAW)RW252000-09-15CZENo195 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm650,000$409,416$65,000$40,942$No---------------------------
Jeremy MorinHAWAII PUNCH (HAW)LW341991-04-16USANo214 Lbs6 ft1NoNoAssign Manually2024-06-22NoYes12025-07-02FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Jett WooHAWAII PUNCH (HAW)D252000-07-27CANNo223 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm650,000$409,416$65,000$40,942$No---------------------------
Joel HoferHAWAII PUNCH (HAW)G252000-07-30CANYes184 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm550,000$346,429$55,000$34,643$No550,000$550,000$-------40,000$40,000$-------NoNo-------
Josh JacobsHAWAII PUNCH (HAW)D291996-06-01USANo207 Lbs6 ft5NoNoAssign ManuallyNoYes12025-09-23FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Julius BergmanHAWAII PUNCH (HAW)D301995-11-02SWENo223 Lbs6 ft4NoNoAssign ManuallyNoYes12025-06-12FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Juuso PärssinenHAWAII PUNCH (HAW)C/LW242001-02-01FINYes206 Lbs6 ft3NoNoTrade2024-02-05NoNo12024-06-09FalseFalsePro & Farm897,000$564,994$89,700$56,499$No---------------------------
Lukas ReichelHAWAII PUNCH (HAW)C/LW232002-05-17GERYes182 Lbs6 ft2NoNoN/ANoNo42024-06-09FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$800,000$800,000$------40,000$40,000$40,000$------NoNoNo------
Luke MisaHAWAII PUNCH (HAW)C202005-11-25CANYes170 Lbs5 ft10NoNoAssign ManuallyNoNo32025-07-18FalseFalsePro & Farm650,000$409,416$65,000$40,942$No650,000$650,000$-------40,000$40,000$-------NoNo-------
Luke Prokop HAWAII PUNCH (HAW)D232002-06-01CANYes216 Lbs6 ft4NoNoN/ANoNo42024-06-09FalseFalsePro & Farm500,000$314,935$50,000$31,494$No500,000$500,000$500,000$------40,000$40,000$40,000$------NoNoNo------
Macklin CelebriniHAWAII PUNCH (HAW)C192006-06-13CANYes190 Lbs6 ft0NoNoAssign ManuallyNoNo32025-07-12FalseFalsePro & Farm900,000$566,883$90,000$56,688$No900,000$900,000$-------40,000$40,000$-------NoNo-------
Marko DanoHAWAII PUNCH (HAW)C/LW/RW311994-11-30AUSNo209 Lbs5 ft11NoNoN/ANoYes32025-03-04FalseFalsePro & Farm1,321,313$832,256$132,131$83,225$No1,321,313$1,321,313$-------40,000$40,000$-------NoNo-------Lien NHL
Matt SavoieHAWAII PUNCH (HAW)C/RW212004-01-01CANYes183 Lbs5 ft9NoNoTrade2025-07-13NoNo1FalseFalsePro & Farm900,000$566,883$90,000$56,688$No---------------------------
Matthew KniesHAWAII PUNCH (HAW)C/LW/RW232002-10-17USAYes220 Lbs6 ft3NoNoN/ANoNo52025-06-12FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$800,000$800,000$800,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Matthew WoodHAWAII PUNCH (HAW)C/LW/RW202005-02-06CANYes196 Lbs6 ft5NoNoAssign ManuallyNoNo22024-07-02FalseFalsePro & Farm900,000$566,883$90,000$56,688$No900,000$--------40,000$--------No--------
Matvei ShuravinHAWAII PUNCH (HAW)D192006-03-22RUSYes172 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-18FalseFalsePro & Farm650,000$409,416$65,000$40,942$No650,000$650,000$-------40,000$40,000$-------NoNo-------
Michael Del ZottoHAWAII PUNCH (HAW)D351990-06-24CANNo216 Lbs6 ft0NoNoN/ANoYes22024-06-13FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$--------40,000$--------No--------
Mikhail Abramov HAWAII PUNCH (HAW)C242001-03-26RUSYes194 Lbs6 ft0NoNoN/ANoNo12024-06-13FalseFalsePro & Farm500,000$314,935$50,000$31,494$No---------------------------
Patrice CormierHAWAII PUNCH (HAW)C/LW351990-06-14CANNo240 Lbs6 ft2NoNoN/ANoYes22025-06-12FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$--------40,000$--------No--------
Quentin MustyHAWAII PUNCH (HAW)LW202005-07-06USAYes208 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-04FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$--------40,000$--------No--------
Ryan GreeneHAWAII PUNCH (HAW)C212004-06-01CANYes186 Lbs6 ft0NoNoTrade2025-11-25NoNo12024-06-22FalseFalsePro & Farm700,000$440,909$70,000$44,091$No---------------------------
Ryder RitchieHAWAII PUNCH (HAW)C/LW/RW192006-08-03CANYes100 Lbs4 ft0NoNoAssign ManuallyNoNo32025-07-16FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Sam MontembeaultHAWAII PUNCH (HAW)G291996-10-30CANNo214 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm702,000$442,169$70,200$44,217$No---------------------------
Samuel ErssonHAWAII PUNCH (HAW)G261999-10-20SWENo194 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm500,000$314,935$50,000$31,494$No---------------------------
T.J. BrodieHAWAII PUNCH (HAW)D351990-06-07CANNo203 Lbs6 ft1NoNoN/ANoYes12025-06-12FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Tarin SmithHAWAII PUNCH (HAW)D192006-06-01CANYes200 Lbs6 ft3NoNoAssign ManuallyNoNo32025-07-14FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Theo LindsteinHAWAII PUNCH (HAW)D202005-01-05SWEYes188 Lbs6 ft3NoNoTrade2024-09-20NoNo22024-07-04FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$--------40,000$--------No--------
Tomas JurcoHAWAII PUNCH (HAW)RW321992-12-28SLONo213 Lbs6 ft2NoNoN/ANoYes12024-06-13FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Ty VoitHAWAII PUNCH (HAW)C/LW222003-06-01USAYes190 Lbs6 ft3NoNoN/ANoNo52025-06-12FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$600,000$600,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3924.31197 Lbs6 ft12.23695,393$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juuso PärssinenMacklin CelebriniMatthew Knies29005
2Marko DanoLukas ReichelTomas Jurco28014
3Quentin MustyAdam FantilliJan Jenik28104
4Jack DruryRyan GreeneMatthew Wood15014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Beau AkeyCameron Whynot40113
2Calle OdeliusJosh Jacobs34122
3T.J. BrodieJulius Bergman20140
4Julius BergmanJosh Jacobs6122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack DruryAdam FantilliMatthew Knies56005
2Quentin MustyLukas ReichelJan Jenik44104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle OdeliusBeau Akey55113
2T.J. BrodieJosh Jacobs45113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jan JenikAdam Fantilli52131
2Matthew KniesQuentin Musty48131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Beau AkeyT.J. Brodie51140
2Julius BergmanJosh Jacobs49140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Fantilli50050Beau AkeyJosh Jacobs50140
2Jan Jenik50050Julius BergmanT.J. Brodie50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew KniesQuentin Musty60113
2Matthew WoodJack Drury40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius BergmanCalle Odelius60122
2Beau AkeyJosh Jacobs40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelMacklin CelebriniAdam FantilliBeau AkeyJulius Bergman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Quentin MustyMatthew KniesJan JenikJosh JacobsT.J. Brodie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Knies, Ryan Greene, Adam FantilliJack Drury, Quentin MustyJan Jenik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Jacobs, T.J. Brodie, Beau AkeyCalle OdeliusJosh Jacobs, Beau Akey
Tirs de pénalité
Macklin Celebrini, Tomas Jurco, Jan Jenik, Jack Drury, Matthew Knies
Gardien
#1 : Devon Levi, #2 : Samuel Ersson
Lignes d’attaque personnalisées en prolongation
Lukas Reichel, Adam Fantilli, Macklin Celebrini, Jack Drury, Matthew Wood, Matthew Knies, Jan Jenik, Quentin Musty, Juuso Pärssinen, Ryan Greene
Lignes de défense personnalisées en prolongation
Calle Odelius, T.J. Brodie, Beau Akey, Josh Jacobs, Julius Bergman


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
1BANGOR PUPPIES11000000422110000004220000000000021.000461000263637641279289330173415816200.00%40100.00%028458848.30%30959252.20%20743747.37%637354664289575281
2BROOKLYN GRINDERS1010000046-2000000000001010000046-200.000471110263637638279289330173315422000%20100.00%028458848.30%30959252.20%20743747.37%637354664289575281
3CALGARY WRANGLERS1010000025-3000000000001010000025-300.00024600263637612279289330172751022200.00%5180.00%028458848.30%30959252.20%20743747.37%637354664289575281
4CAPE BRETON LEPRECHAUNS201010006601010000034-11000100032120.500610160026363766127928933017581516308112.50%8450.00%128458848.30%30959252.20%20743747.37%637354664289575281
5CHICAGO UNDERTAKERS3110010078-1110000004222010010036-330.500712190026363767427928933017612820657228.57%10460.00%028458848.30%30959252.20%20743747.37%637354664289575281
6COQUITLAM EXPRESS4310000016106220000008442110000086260.750162541002636376113279289330171133020789111.11%10370.00%228458848.30%30959252.20%20743747.37%637354664289575281
7LAS CRUCES MESCALEROS21100000862211000008620000000000020.50081422002636376592792893301762211842300.00%9188.89%028458848.30%30959252.20%20743747.37%637354664289575281
8NEWTON NIGHTHAWKS1010000024-2000000000001010000024-200.00024610263637629279289330172516425100.00%220.00%028458848.30%30959252.20%20743747.37%637354664289575281
9NORTH VAN ROCKERS623000011928-931100001911-2312000001017-750.41719335200263637619727928933017191713911011218.18%12191.67%028458848.30%30959252.20%20743747.37%637354664289575281
10PENSACOLA BLACK BEARS11000000523000000000001100000052321.0005914002636376292792893301742142155120.00%10100.00%028458848.30%30959252.20%20743747.37%637354664289575281
11PHILADELPHIA PHANTOMS3110001078-11010000004-42100001074340.66771017002636376662792893301786373569400.00%10280.00%028458848.30%30959252.20%20743747.37%637354664289575281
12PINCHER CREEK WOLVERINES1010000046-21010000046-20000000000000.000471110263637622279289330173714417000%20100.00%028458848.30%30959252.20%20743747.37%637354664289575281
13SAN JOSE AVACADOES21100000651110000004221010000023-120.5006111700263637665279289330173913205122100.00%5260.00%028458848.30%30959252.20%20743747.37%637354664289575281
14VANCOUVER THOUSANDAIRES3010101013121201000109901000100043140.6671319320026363761012792893301792302461700.00%12466.67%028458848.30%30959252.20%20743747.37%637354664289575281
Total31111402121103108-5157600011535031648021105058-8320.5161031712743026363769072792893301790032422462361914.75%922473.91%328458848.30%30959252.20%20743747.37%637354664289575281
_Since Last GM Reset31111402121103108-5157600011535031648021105058-8320.5161031712743026363769072792893301790032422462361914.75%922473.91%328458848.30%30959252.20%20743747.37%637354664289575281
_Vs Conference241090112181801126400011423841245011103942-3280.583811322131026363767092792893301770626217048149612.24%701775.71%228458848.30%30959252.20%20743747.37%637354664289575281
_Vs Division1456010115054-47320001126242724010002430-6150.5365081131102636376440279289330174211478727428310.71%361072.22%228458848.30%30959252.20%20743747.37%637354664289575281

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3132L110317127490790032422462330
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3111142121103108
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
157600115350
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
164821105058
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
61914.75%922473.91%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
279289330172636376
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
28458848.30%30959252.20%20743747.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
637354664289575281


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
313NORTH VAN ROCKERS2HAWAII PUNCH1LXXSommaire du match
520HAWAII PUNCH2NORTH VAN ROCKERS6LSommaire du match
734VANCOUVER THOUSANDAIRES3HAWAII PUNCH4WXXSommaire du match
841HAWAII PUNCH3PHILADELPHIA PHANTOMS2WXXSommaire du match
953PHILADELPHIA PHANTOMS4HAWAII PUNCH0LSommaire du match
1058HAWAII PUNCH1NORTH VAN ROCKERS7LSommaire du match
1376NORTH VAN ROCKERS5HAWAII PUNCH2LSommaire du match
1590VANCOUVER THOUSANDAIRES6HAWAII PUNCH5LSommaire du match
1693HAWAII PUNCH2NEWTON NIGHTHAWKS4LSommaire du match
17106HAWAII PUNCH4COQUITLAM EXPRESS5LSommaire du match
18114HAWAII PUNCH4VANCOUVER THOUSANDAIRES3WXSommaire du match
20125LAS CRUCES MESCALEROS2HAWAII PUNCH1LSommaire du match
22141COQUITLAM EXPRESS1HAWAII PUNCH2WSommaire du match
24153BANGOR PUPPIES2HAWAII PUNCH4WSommaire du match
26163HAWAII PUNCH2CALGARY WRANGLERS5LSommaire du match
28174HAWAII PUNCH5PENSACOLA BLACK BEARS2WSommaire du match
30185CHICAGO UNDERTAKERS2HAWAII PUNCH4WSommaire du match
33200COQUITLAM EXPRESS3HAWAII PUNCH6WSommaire du match
34208HAWAII PUNCH4COQUITLAM EXPRESS1WSommaire du match
36218HAWAII PUNCH4PHILADELPHIA PHANTOMS2WSommaire du match
37229HAWAII PUNCH1CHICAGO UNDERTAKERS3LSommaire du match
38237PINCHER CREEK WOLVERINES6HAWAII PUNCH4LSommaire du match
41252NORTH VAN ROCKERS4HAWAII PUNCH6WSommaire du match
42263HAWAII PUNCH7NORTH VAN ROCKERS4WSommaire du match
45275LAS CRUCES MESCALEROS4HAWAII PUNCH7WSommaire du match
46285HAWAII PUNCH2SAN JOSE AVACADOES3LSommaire du match
48293CAPE BRETON LEPRECHAUNS4HAWAII PUNCH3LSommaire du match
50306HAWAII PUNCH3CAPE BRETON LEPRECHAUNS2WXSommaire du match
52317HAWAII PUNCH2CHICAGO UNDERTAKERS3LXSommaire du match
54325SAN JOSE AVACADOES2HAWAII PUNCH4WSommaire du match
56338HAWAII PUNCH4BROOKLYN GRINDERS6LSommaire du match
59349DETROIT STEELERS-HAWAII PUNCH-
60358HAWAII PUNCH-SYRACUSE BABY BULLS-
62370CHICAGO UNDERTAKERS-HAWAII PUNCH-
64384CALGARY WRANGLERS-HAWAII PUNCH-
66394HAWAII PUNCH-DETROIT STEELERS-
68406PENSACOLA BLACK BEARS-HAWAII PUNCH-
70419HAWAII PUNCH-COLORADO CUBS-
71425BANGOR PUPPIES-HAWAII PUNCH-
73441NEWTON NIGHTHAWKS-HAWAII PUNCH-
74445HAWAII PUNCH-PENSACOLA BLACK BEARS-
77464DETROIT STEELERS-HAWAII PUNCH-
79473HAWAII PUNCH-NEWTON NIGHTHAWKS-
81484COLORADO CUBS-HAWAII PUNCH-
82495HAWAII PUNCH-DETROIT STEELERS-
85505HAWAII PUNCH-PINCHER CREEK WOLVERINES-
87517NORTH VAN ROCKERS-HAWAII PUNCH-
88525HAWAII PUNCH-PHILADELPHIA PHANTOMS-
89533HAWAII PUNCH-VANCOUVER THOUSANDAIRES-
91545VANCOUVER THOUSANDAIRES-HAWAII PUNCH-
93558PHILADELPHIA PHANTOMS-HAWAII PUNCH-
95572HAWAII PUNCH-BANGOR PUPPIES-
97582HAWAII PUNCH-COQUITLAM EXPRESS-
98590CHICAGO UNDERTAKERS-HAWAII PUNCH-
100605MANHATTAN SWEDES-HAWAII PUNCH-
103617HAWAII PUNCH-NORTH VAN ROCKERS-
104625CALGARY WRANGLERS-HAWAII PUNCH-
106639BROOKLYN GRINDERS-HAWAII PUNCH-
108648HAWAII PUNCH-EDMONTON OILERS-
110660EDMONTON OILERS-HAWAII PUNCH-
112668HAWAII PUNCH-HALIFAX HELL-
113679HAWAII PUNCH-CALGARY WRANGLERS-
115692CAPE FEAR WILDCATS-HAWAII PUNCH-
117703HAWAII PUNCH-NORTH VAN ROCKERS-
118708HAWAII PUNCH-PENSACOLA BLACK BEARS-
119716HAWAII PUNCH-NEWTON NIGHTHAWKS-
121727NEWTON NIGHTHAWKS-HAWAII PUNCH-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123745SYRACUSE BABY BULLS-HAWAII PUNCH-
125754HAWAII PUNCH-MANHATTAN SWEDES-
126764PENSACOLA BLACK BEARS-HAWAII PUNCH-
128777HAWAII PUNCH-SYRACUSE BABY BULLS-
130788VANCOUVER THOUSANDAIRES-HAWAII PUNCH-
132799HAWAII PUNCH-DETROIT STEELERS-
134810NEWTON NIGHTHAWKS-HAWAII PUNCH-
135817HAWAII PUNCH-CAPE FEAR WILDCATS-
137832BANGOR PUPPIES-HAWAII PUNCH-
139843LAS CRUCES MESCALEROS-HAWAII PUNCH-
141858HAWAII PUNCH-LAS CRUCES MESCALEROS-
142866COQUITLAM EXPRESS-HAWAII PUNCH-
143872HAWAII PUNCH-LAS CRUCES MESCALEROS-
144877HAWAII PUNCH-BANGOR PUPPIES-
148900HALIFAX HELL-HAWAII PUNCH-
150908HAWAII PUNCH-VANCOUVER THOUSANDAIRES-
152921SYRACUSE BABY BULLS-HAWAII PUNCH-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance26,22214,980
Assistance PCT87.41%99.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 2747 - 91.56% 76,165$1,142,470$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,562,558$ 3,522,031$ 3,522,031$ 1,300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,522,031$ 1,081,376$ 39 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,056,446$ 97 31,312$ 3,037,264$




HAWAII PUNCH 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

HAWAII PUNCH 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

HAWAII PUNCH 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

HAWAII PUNCH 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

HAWAII PUNCH 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