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Crunch
GP: 42 | W: 18 | L: 20 | OTL: 4 | P: 40
GF: 129 | GA: 135 | PP%: 18.49% | PK%: 76.42%
DG: Guillaume Cazes | Morale : 43 | Moyenne d’équipe : 62
Prochains matchs #667 vs Eagles
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Centre de jeu
Rocket
18-18-8, 44pts
0
FINAL
1 Crunch
18-20-4, 40pts
Team Stats
SOL1SéquenceL1
10-7-3Fiche domicile12-5-3
8-11-5Fiche domicile6-15-1
3-4-3Derniers 10 matchs4-5-1
3.11Buts par match 3.07
3.09Buts contre par match 3.21
22.14%Pourcentage en avantage numérique18.49%
78.83%Pourcentage en désavantage numérique76.42%
Crunch
18-20-4, 40pts
3
FINAL
4 Checkers
29-10-3, 61pts
Team Stats
L1SéquenceW2
12-5-3Fiche domicile15-4-2
6-15-1Fiche domicile14-6-1
4-5-1Derniers 10 matchs7-2-1
3.07Buts par match 3.86
3.21Buts contre par match 3.17
18.49%Pourcentage en avantage numérique25.36%
76.42%Pourcentage en désavantage numérique81.08%
Eagles
30-10-1, 61pts
2024-12-04
Crunch
18-20-4, 40pts
Statistiques d’équipe
W2SéquenceL1
16-5-0Fiche domicile12-5-3
14-5-1Fiche visiteur6-15-1
9-1-010 derniers matchs4-5-1
3.66Buts par match 3.07
2.51Buts contre par match 3.07
20.86%Pourcentage en avantage numérique18.49%
78.95%Pourcentage en désavantage numérique76.42%
BruinsF
19-16-7, 45pts
2024-12-07
Crunch
18-20-4, 40pts
Statistiques d’équipe
L1SéquenceL1
12-6-3Fiche domicile12-5-3
7-10-4Fiche visiteur6-15-1
3-4-310 derniers matchs4-5-1
3.24Buts par match 3.07
3.40Buts contre par match 3.07
26.12%Pourcentage en avantage numérique18.49%
79.84%Pourcentage en désavantage numérique76.42%
Crunch
18-20-4, 40pts
2024-12-10
SenatorsF
25-14-2, 52pts
Statistiques d’équipe
L1SéquenceL1
12-5-3Fiche domicile17-3-1
6-15-1Fiche visiteur8-11-1
4-5-110 derniers matchs8-1-1
3.07Buts par match 3.78
3.21Buts contre par match 3.78
18.49%Pourcentage en avantage numérique22.14%
76.42%Pourcentage en désavantage numérique73.03%
Meneurs d'équipe
Buts
Laurent Dauphin
14
Passes
Tommy Miller
22
Points
Tommy Miller
29
Plus/Moins
James Sheppard
8
Victoires
Dustin Tokarski
10
Pourcentage d’arrêts
Dustin Tokarski
0.905

Statistiques d’équipe
Buts pour
129
3.07 GFG
Tirs pour
1235
29.40 Avg
Pourcentage en avantage numérique
18.5%
27 GF
Début de zone offensive
39.5%
Buts contre
135
3.21 GAA
Tirs contre
1331
31.69 Avg
Pourcentage en désavantage numérique
76.4%%
29 GA
Début de la zone défensive
40.6%
Informations de l'équipe

Directeur généralGuillaume Cazes
EntraîneurMichel Therrien
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineMackenzie Entwistle
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,500
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 56
Espoirs19


Historique d'équipe

Saison actuelle18-20-4 (40PTS)
Historique62-51-12 (0.496%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)7 - 6 (0.538%)
Coupe Stanley0


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
1Laurent DauphinXX99.0077487275707578726968697560655255616602911,500,000$
2Stefan NoesenXX100.0060419069747080726767736968705746536503111,200,000$
3Mackenzie Entwistle (C)XX100.007145887371738672606869746165486852650252900,000$
4Johan SundstromX100.0057459469737073706671686966635350356403221,100,000$
5Kyle Maclean (R)X99.007250907270707572617172696645456051640251900,000$
6JC LiponXX100.0073698171707572706168716970494753436403121,200,000$
7Antoine MorandX100.006244947268727268717067696048466053630252750,000$
8James SheppardXX100.0069558668726769676563647062716130546303621,000,000$
9Tomas HykaXX100.0057439573696665676361646960494550536103121,000,000$
10Corey TrivinoX100.0060439772716470666562636662464538436003421,000,000$
11Graham BlackX100.005639877171625564675856686255544351590311700,000$
12Trevor CarrickX100.0077656773717576734573737060605351386503011,300,000$
13Klas DahlbeckX100.0062439368747181694568666963665047536403311,250,000$
14Kasper KotkansaloX100.006644867271717266456666725650476053630262750,000$
15Tommy MillerX100.006644867269697067456764735649476053630252750,000$
16Jett Woo (R)X100.007265657270707068456766706045457042620243750,000$
17Thomas SchemitschX100.006445897073677063456663685452465753620283900,000$
Rayé
1Par LindholmXX95.8961479471687678716870707370645147396503311,300,000$
2Adam MascherinXX100.006245827269666963636265616049456036600261750,000$
3Dominik UherXX100.006546756873646861706162656057524419590311700,000$
4Jonathan MatsumotoX100.0060458967686765656564626562494525235903821,000,000$
5Nick WolffX100.007663707275686662456360655546455720610283800,000$
6Luke GreenX100.006748907068676757456260675746455820600261750,000$
7Jeremy RoyX100.006548887068686058456461655746455819600273700,000$
MOYENNE D’ÉQUIPE99.71664985717169716758666669615449524262
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
1Dustin Tokarski98.007880797679778481828480636238576603521,500,000$
2Linden Rowat100.00746968757576817978797246523852620351900,000$
Rayé
MOYENNE D’ÉQUIPE99.0076757476777783808082765557385564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien72798496999939CAN624100,000$


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
1Tommy MillerCrunch (TB )D42722291220523756212912.50%5588721.1335828119011088200%000000.6500000210
2Antoine MorandCrunch (TB )C42101828560127085167311.76%1074317.69178231110002622146.90%95300010.7501000101
3Laurent DauphinCrunch (TB )LW/RW32141327-11407536117358711.97%1455917.476392291000131050.82%6100000.9700000122
4Mackenzie EntwistleCrunch (TB )LW/RW40111526-1140445512423878.87%1677219.31415251150220702041.95%20500000.6701000224
5Kasper KotkansaloCrunch (TB )D4252025018057296015378.33%5288721.1334740119011096200%000000.5600000003
6Trevor CarrickCrunch (TB )D3761723-157573396318449.52%5076620.723583195000043110%000000.6000001112
7Kyle MacleanCrunch (TB )LW41121022-1160563686267813.95%569116.871124221011240038.71%6200000.6401000132
8Corey TrivinoCrunch (TB )C42121022320165058132820.69%758113.85000002023580044.59%62800000.7600000120
9Tomas HykaCrunch (TB )LW/RW4210919-580112965145415.38%954913.093141282000001045.10%5100000.6900000221
10Par LindholmCrunch (TB )LW/RW3671017-160204210223876.86%859916.6604414860000210045.00%18000100.5700000101
11Johan SundstromCrunch (TB )C3651116-64017605712478.77%754115.040444420001422045.89%64500000.5900000102
12Klas DahlbeckCrunch (TB )D423121518025343821377.89%4894322.4613420113000195000%000000.3200000011
13Stefan NoesenCrunch (TB )LW/RW417714-980261710127696.93%758214.211129370002291043.94%6600000.4800000020
14James SheppardCrunch (TB )LW/RW4268148135462559155410.17%763215.06123548000031050.98%5100000.4400001200
15Thomas SchemitschCrunch (TB )D4211314-31402030288163.57%4376618.24000419011170000%000000.3700000010
16Graham BlackCrunch (TB )C39661212018362593124.00%439410.10000070000632047.22%39600000.6100000010
17Jett WooCrunch (TB )D4011011-435568261911125.26%4567716.94000317000020010%000000.3200010100
18JC LiponCrunch (TB )LW/RW263811017527173911217.69%327210.48000013000090038.10%10500000.8100100000
19Adam MascherinCrunch (TB )LW/RW25178595189287203.57%02248.98022542000000033.33%900000.7100001111
20Nick WolffCrunch (TB )D6022-1601201100%48814.670000100001000%000000.4500000000
21Jeremy RoyCrunch (TB )D1022120000100%01818.400110300000000%000002.1700000000
22Jonathan MatsumotoCrunch (TB )C10101-2002791311.11%1878.790001170000111041.58%10100000.2300000000
23Frederick GaudreauLightningLW/RW7101-82041014367.14%313419.260003150000120050.00%3600000.1500000000
24Dominik UherCrunch (TB )LW/RW3000000001000%051.940000100000000%00000000000000
Statistiques d’équipe totales ou en moyenne756129230359-1828325699694123533192010.45%3981240816.4127447125312253581283218345.45%354900110.5803113171920
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
1Dustin TokarskiCrunch (TB )24101020.9053.1413192169726011002220110
2Linden RowatCrunch (TB )2181020.8973.09120660626020120.66732022110
Statistiques d’équipe totales ou en moyenne45182040.9013.11252581131132802334242220


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 Plafond 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 MascherinCrunch (TB )LW/RW261998-06-06CANNo205 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Antoine MorandCrunch (TB )C251999-02-18CANNo184 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Corey TrivinoCrunch (TB )C341990-01-12CANNo193 Lbs6 ft1NoNoFree AgentNoNo22024-02-06FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Dominik UherCrunch (TB )LW/RW311992-12-31CHENo202 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Dustin TokarskiCrunch (TB )G351989-09-16CANNo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Graham BlackCrunch (TB )C311993-01-13CANNo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
JC LiponCrunch (TB )LW/RW311993-07-10CANNo189 Lbs6 ft0NoNoTrade2024-07-27NoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
James SheppardCrunch (TB )LW/RW361988-04-25CANNo215 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Jeremy RoyCrunch (TB )D271997-05-14CANNo187 Lbs6 ft0NoNoN/ANoNo32024-04-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Jett WooCrunch (TB )D242000-07-27CANYes205 Lbs6 ft0NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Johan SundstromCrunch (TB )C321992-09-21SWENo201 Lbs6 ft2NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Jonathan MatsumotoCrunch (TB )C381986-10-13CANNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Kasper KotkansaloCrunch (TB )D261998-11-16FINNo205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Klas DahlbeckCrunch (TB )D331991-07-06SWENo207 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
Kyle MacleanCrunch (TB )LW251999-04-29USAYes190 Lbs6 ft1NoNoTrade2024-06-27NoNo12024-06-27FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Laurent DauphinCrunch (TB )LW/RW291995-03-27CANNo180 Lbs6 ft1NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Linden RowatCrunch (TB )G351989-06-27CANNo177 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Luke GreenCrunch (TB )D261998-01-12CANNo187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Mackenzie EntwistleCrunch (TB )LW/RW251999-07-14CANNo184 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Nick WolffCrunch (TB )D281996-07-21USANo229 Lbs6 ft6NoNoN/ANoNo32024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Par LindholmCrunch (TB )LW/RW331991-10-05SWENo182 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Stefan NoesenCrunch (TB )LW/RW311993-02-12USANo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Thomas SchemitschCrunch (TB )D281996-10-26CANNo201 Lbs6 ft5NoNoN/ANoNo32024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Tomas HykaCrunch (TB )LW/RW311993-03-23CZENo185 Lbs5 ft10NoNoFree AgentNoNo22024-01-31FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Tommy MillerCrunch (TB )D251999-03-06USANo181 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Trevor CarrickCrunch (TB )D301994-07-04CANNo196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2629.81195 Lbs6 ft11.73975,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Laurent DauphinAntoine MorandMackenzie Entwistle25122
2JC LiponJames Sheppard25122
3Stefan NoesenGraham BlackJohan Sundstrom25122
4Laurent DauphinCorey TrivinoTomas Hyka25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor CarrickKlas Dahlbeck34122
2Kasper KotkansaloTommy Miller34122
3Jett WooThomas Schemitsch32122
4Kasper KotkansaloKlas Dahlbeck0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie EntwistleLaurent Dauphin50122
2James SheppardAntoine MorandTomas Hyka50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas SchemitschKlas Dahlbeck50122
2Kasper KotkansaloTommy Miller50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mackenzie EntwistleCorey Trivino50122
2Antoine MorandGraham Black50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas SchemitschKlas Dahlbeck50122
2Kasper KotkansaloTommy Miller50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Antoine Morand50122Thomas SchemitschKlas Dahlbeck50122
2Mackenzie Entwistle50122Kasper KotkansaloTommy Miller50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mackenzie EntwistleJames Sheppard50122
2Antoine MorandLaurent Dauphin50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas SchemitschKlas Dahlbeck50122
2Kasper KotkansaloTommy Miller50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie EntwistleLaurent DauphinKasper KotkansaloKlas Dahlbeck
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Laurent DauphinMackenzie EntwistleKasper KotkansaloKlas Dahlbeck
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mackenzie Entwistle, Laurent Dauphin, Antoine MorandMackenzie Entwistle, Laurent DauphinMackenzie Entwistle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Klas Dahlbeck, Thomas Schemitsch, Kasper KotkansaloKlas DahlbeckThomas Schemitsch, Kasper Kotkansalo
Tirs de pénalité
Mackenzie Entwistle, Tomas Hyka, , Antoine Morand, James Sheppard
Gardien
#1 : Dustin Tokarski, #2 : Linden Rowat


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
1Barracuda11000000321000000000001100000032121.0003690046453533641140741283092144250.00%10100.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
2Bears2010000158-31000000134-11010000024-210.2505101500464535367411407412856151633700.00%8187.50%0627139744.88%657143545.78%32970246.87%9546481027314547271
3BruinsF2020000027-51010000025-31010000002-200.00024600464535354411407412854181238400.00%6266.67%0627139744.88%657143545.78%32970246.87%9546481027314547271
4Canucks11000000615110000006150000000000021.000611170046453533341140741283498245120.00%40100.00%1627139744.88%657143545.78%32970246.87%9546481027314547271
5Checkers21100000660000000000002110000066020.5006111700464535340411407412872251928500.00%7271.43%0627139744.88%657143545.78%32970246.87%9546481027314547271
6Comets21100000990110000006511010000034-120.50091423004645353644114074128601712255120.00%6266.67%0627139744.88%657143545.78%32970246.87%9546481027314547271
7Condors20200000311-80000000000020200000311-800.0003690046453535541140741286931163510110.00%8362.50%0627139744.88%657143545.78%32970246.87%9546481027314547271
8Eagles1010000024-2000000000001010000024-200.00024610464535328411407412847121010300.00%4175.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
9Firebirds1010000013-2000000000001010000013-200.000123004645353294114074128278020100.00%000%0627139744.88%657143545.78%32970246.87%9546481027314547271
10Griffins11000000523110000005230000000000021.0005813004645353384114074128411317256233.33%10100.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
11Gulls1010000024-21010000024-20000000000000.0002350046453532341140741283315615400.00%30100.00%1627139744.88%657143545.78%32970246.87%9546481027314547271
12Icehogs1010000023-11010000023-10000000000000.0002460046453533141140741283311211100.00%10100.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
13Iowa Wild21100000550110000004221010000013-220.5005914004645353524114074128821410329111.11%5180.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
14Islanders402011001115-4200011007702020000048-430.375111930004645353134411407412814340328419526.32%16662.50%0627139744.88%657143545.78%32970246.87%9546481027314547271
15Marlies1010000013-2000000000001010000013-200.000123004645353314114074128289415600.00%2150.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
16Monsters1000010012-1000000000001000010012-110.5001230046453531941140741283511613200.00%30100.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
17Moose21100000880000000000002110000088020.50081321004645353564114074128662012308225.00%6266.67%0627139744.88%657143545.78%32970246.87%9546481027314547271
18PenguinsF11000000422110000004220000000000021.00048120046453533041140741281910424100.00%20100.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
19Reign1010000023-1000000000001010000023-100.000246004645353314114074128307212400.00%000%0627139744.88%657143545.78%32970246.87%9546481027314547271
20Roadrunners1010000057-2000000000001010000057-200.0005712104645353234114074128451215182150.00%5340.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
21Rocket21001000532210010005320000000000041.0005101501464535345411407412854211919400.00%5180.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
22SenatorsF220000001248110000006331100000061541.000122032004645353564114074128539154310550.00%5180.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
23Silver Knights10001000431100010004310000000000021.00048120046453532441140741283082114125.00%10100.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
24Thunderbirds1000010023-11000010023-10000000000010.500235004645353374114074128309222700.00%10100.00%0627139744.88%657143545.78%32970246.87%9546481027314547271
25Wolf Pack32100000121112110000078-11100000053240.6671223351046453531064114074128732726524125.00%12283.33%1627139744.88%657143545.78%32970246.87%9546481027314547271
26Wolves321000001165211000008531100000031240.6671119300046453539341140741288718224611436.36%11190.91%0627139744.88%657143545.78%32970246.87%9546481027314547271
Total42152003301129135-620950320173601322615001005675-19400.4761292303593146453531235411407412813313982916991462718.49%1232976.42%3627139744.88%657143545.78%32970246.87%9546481027314547271
_Since Last GM Reset42152003301129135-620950320173601322615001005675-19400.4761292303593146453531235411407412813313982916991462718.49%1232976.42%3627139744.88%657143545.78%32970246.87%9546481027314547271
_Vs Conference2711120210187852136302101484261459000003943-4280.519871552421146453538054114074128792237193457851821.18%862175.58%1627139744.88%657143545.78%32970246.87%9546481027314547271

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4240L11292303591235133139829169931
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4215203301129135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
209532017360
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2261501005675
Derniers 10 matchs
WLOTWOTL SOWSOL
252100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1462718.49%1232976.42%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
41140741284645353
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
627139744.88%657143545.78%32970246.87%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9546481027314547271


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
2 - 2024-09-0410Wolf Pack3Crunch4WSommaire du match
4 - 2024-09-0624Crunch0BruinsF2LSommaire du match
6 - 2024-09-0836Wolves1Crunch5WSommaire du match
7 - 2024-09-0951Crunch2Condors5LSommaire du match
11 - 2024-09-1376SenatorsF3Crunch6WSommaire du match
13 - 2024-09-1593Crunch3Islanders6LSommaire du match
14 - 2024-09-16103Crunch3Wolves1WSommaire du match
17 - 2024-09-19119BruinsF5Crunch2LSommaire du match
20 - 2024-09-22143Islanders4Crunch3LXSommaire du match
22 - 2024-09-24160Crunch2Moose5LSommaire du match
24 - 2024-09-26174Wolf Pack5Crunch3LSommaire du match
27 - 2024-09-29195Bears4Crunch3LXXSommaire du match
28 - 2024-09-30210Crunch1Marlies3LSommaire du match
31 - 2024-10-03228Icehogs3Crunch2LSommaire du match
35 - 2024-10-07246Crunch3Checkers2WSommaire du match
37 - 2024-10-09262PenguinsF2Crunch4WSommaire du match
39 - 2024-10-11279Crunch6SenatorsF1WSommaire du match
41 - 2024-10-13292Crunch2Reign3LSommaire du match
43 - 2024-10-15303Gulls4Crunch2LSommaire du match
45 - 2024-10-17323Canucks1Crunch6WSommaire du match
48 - 2024-10-20340Crunch3Comets4LSommaire du match
50 - 2024-10-22355Iowa Wild2Crunch4WSommaire du match
52 - 2024-10-24371Crunch5Wolf Pack3WSommaire du match
55 - 2024-10-27391Thunderbirds3Crunch2LXSommaire du match
57 - 2024-10-29408Crunch6Moose3WSommaire du match
59 - 2024-10-31418Crunch2Bears4LSommaire du match
61 - 2024-11-02432Griffins2Crunch5WSommaire du match
63 - 2024-11-04443Crunch1Condors6LSommaire du match
65 - 2024-11-06460Comets5Crunch6WSommaire du match
67 - 2024-11-08479Crunch1Iowa Wild3LSommaire du match
69 - 2024-11-10486Crunch1Islanders2LSommaire du match
71 - 2024-11-12498Islanders3Crunch4WXSommaire du match
73 - 2024-11-14520Crunch2Eagles4LSommaire du match
75 - 2024-11-16531Silver Knights3Crunch4WXSommaire du match
77 - 2024-11-18547Crunch3Barracuda2WSommaire du match
79 - 2024-11-20561Crunch5Roadrunners7LSommaire du match
80 - 2024-11-21570Wolves4Crunch3LSommaire du match
83 - 2024-11-24589Crunch1Monsters2LXSommaire du match
84 - 2024-11-25603Rocket3Crunch4WSommaire du match
87 - 2024-11-28625Crunch1Firebirds3LSommaire du match
88 - 2024-11-29633Rocket0Crunch1WXSommaire du match
91 - 2024-12-02657Crunch3Checkers4LSommaire du match
93 - 2024-12-04667Eagles-Crunch-
96 - 2024-12-07690BruinsF-Crunch-
99 - 2024-12-10712Crunch-SenatorsF-
101 - 2024-12-12725Marlies-Crunch-
102 - 2024-12-13738Crunch-Bears-
105 - 2024-12-16753Crunch-Phantoms-
107 - 2024-12-18765Marlies-Crunch-
109 - 2024-12-20780Crunch-Firebirds-
110 - 2024-12-21792Icehogs-Crunch-
113 - 2024-12-24812Crunch-Wolf Pack-
115 - 2024-12-26823Americans-Crunch-
117 - 2024-12-28842Crunch-StarsF-
119 - 2024-12-30854Wolf Pack-Crunch-
121 - 2025-01-01870Crunch-Wolves-
123 - 2025-01-03885Crunch-Admirals-
124 - 2025-01-04893Firebirds-Crunch-
127 - 2025-01-07917Crunch-Comets-
128 - 2025-01-08925PenguinsF-Crunch-
132 - 2025-01-12952Wranglers-Crunch-
134 - 2025-01-14971Crunch-Phantoms-
136 - 2025-01-16983Moose-Crunch-
139 - 2025-01-191007Comets-Crunch-
141 - 2025-01-211028Checkers-Crunch-
144 - 2025-01-241047Crunch-Marlies-
147 - 2025-01-271070Checkers-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-291082Crunch-Rocket-
151 - 2025-01-311100Americans-Crunch-
153 - 2025-02-021112Crunch-BruinsF-
156 - 2025-02-051133Moose-Crunch-
159 - 2025-02-081151Crunch-Americans-
161 - 2025-02-101163Crunch-PenguinsF-
162 - 2025-02-111172SenatorsF-Crunch-
166 - 2025-02-151198Phantoms-Crunch-
170 - 2025-02-191224Bears-Crunch-
172 - 2025-02-211236Crunch-Rocket-
176 - 2025-02-251256Phantoms-Crunch-
178 - 2025-02-271274Crunch-Americans-
179 - 2025-02-281279Crunch-BruinsF-
182 - 2025-03-031296Firebirds-Crunch-
184 - 2025-03-051311Crunch-PenguinsF-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance31,21618,790
Assistance PCT78.04%93.95%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 2500 - 83.34% 102,394$2,047,872$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,247,088$ 2,535,000$ 2,535,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,197,354$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,150,266$ 93 14,243$ 1,324,599$




Crunch 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
1Par Lindholm118334578031521053439.62%18203917.28515206611264549.20%00.7614
2Laurent Dauphin106373774-105423511733211.14%28168915.941212246500013248.21%00.8815
3Trevor Carrick11016587421552071041709.41%138242022.0061622701013510%00.6100
4Alexander Khokhlachev8127437011299612720313.30%16143717.75515202411274150.29%00.9713
5Stefan Noesen12331366752495713179.78%16194315.80510155600026247.26%10.6928

Crunch 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
1Dustin Tokarski82403070.9003.0744904323022920410.60923
2Andrey Makarov31131010.9092.59155102677390001.00010
3Linden Rowat2691130.8933.20144460777170120.5006

Crunch 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
Saison régulière
158238310323527424826412015022111341221241181601024140126149527449376704102818510247982879782266242067954914152546023.62%2253982.67%31428288349.53%1366269650.67%691133551.76%1979135419196051072539
1642152003301129135-620950320173601322615001005675-19401292303593146453531235411407412813313982916991462718.49%1232976.42%3627139744.88%657143545.78%32970246.87%9546481027314547271
Total Saison régulière12453510653640338320612920054122071822563243101124196201-5135403723112635148126120133714123912041234743751107784021144008721.75%3486880.46%62055428048.01%2023413148.97%1020203750.07%2934200329479201620810
Séries éliminatoires
1513760000044413624000001920-17520000025214144481125001513151363113116126841711510022238923.68%411368.29%121342450.24%22747947.39%11923251.29%3062113109617286
Total Séries éliminatoires13760000044413624000001920-17520000025214144481125001513151363113116126841711510022238923.68%411368.29%121342450.24%22747947.39%11923251.29%3062113109617286

Crunch 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
1Par Lindholm1084123211164318.60%120220.25112500012251.67%01.1900
2James Sheppard1374116919113023.33%323117.84011200000042.31%00.9500
3Trevor Carrick1347111182161822.22%2230423.4412370000000%00.7200
4Mikkel Boedker1137108268387.89%120718.84112200001029.55%00.9700
5Simon Benoit13010101121711260%1831324.11033110001000%00.6400

Crunch 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
1Andrey Makarov74300.9172.68426001922800000
2Dustin Tokarski63210.8843.65362002218900000