Please rotate your device to landscape mode for a better experience.
Connexion

Crunch
GP: 56 | W: 29 | L: 24 | OTL: 3 | P: 61
GF: 214 | GA: 200 | PP%: 14.54% | PK%: 78.82%
DG: Keven St-Amand | Morale : 42 | Moyenne d’équipe : 68
Prochains matchs #764 vs Wolfpack

Centre de jeu
Crunch
29-24-3, 61pts
4
2 Eagles
29-26-3, 61pts
Team Stats
W4SéquenceL2
17-12-1Fiche domicile19-10-0
12-12-2Fiche domicile10-16-3
7-3-0Derniers 10 matchs5-5-0
3.82Buts par match 4.55
3.57Buts contre par match 4.41
14.54%Pourcentage en avantage numérique26.99%
78.82%Pourcentage en désavantage numérique78.28%
Admirals
27-26-6, 60pts
4
7 Crunch
29-24-3, 61pts
Team Stats
L1SéquenceW4
14-11-4Fiche domicile17-12-1
13-15-2Fiche domicile12-12-2
2-7-1Derniers 10 matchs7-3-0
4.31Buts par match 3.82
4.53Buts contre par match 3.57
24.19%Pourcentage en avantage numérique14.54%
77.39%Pourcentage en désavantage numérique78.82%
Crunch
29-24-3, 61pts
Jour 122
Wolfpack
28-23-7, 63pts
Statistiques d’équipe
W4SéquenceL2
17-12-1Fiche domicile15-11-3
12-12-2Fiche visiteur13-12-4
7-3-010 derniers matchs5-4-1
3.82Buts par match 3.97
3.57Buts contre par match 3.97
14.54%Pourcentage en avantage numérique19.20%
78.82%Pourcentage en désavantage numérique78.19%
Griffins
26-26-4, 56pts
Jour 124
Crunch
29-24-3, 61pts
Statistiques d’équipe
W1SéquenceW4
14-13-2Fiche domicile17-12-1
12-13-2Fiche visiteur12-12-2
3-6-110 derniers matchs7-3-0
3.75Buts par match 3.82
3.93Buts contre par match 3.82
16.08%Pourcentage en avantage numérique14.54%
79.62%Pourcentage en désavantage numérique78.82%
Crunch
29-24-3, 61pts
Jour 125
Griffins
26-26-4, 56pts
Statistiques d’équipe
W4SéquenceW1
17-12-1Fiche domicile14-13-2
12-12-2Fiche visiteur12-13-2
7-3-010 derniers matchs3-6-1
3.82Buts par match 3.75
3.57Buts contre par match 3.75
14.54%Pourcentage en avantage numérique16.08%
78.82%Pourcentage en désavantage numérique79.62%
Meneurs d'équipe
Buts
Andrei Svechnikov
38
Passes
Andrei Svechnikov
43
Points
Andrei Svechnikov
81
Plus/Moins
Anatoli Golyshev
22
Victoires
Pyotr Kochetkov
17
Pourcentage d’arrêts
Pyotr Kochetkov
0.905

Statistiques d’équipe
Buts pour
214
3.82 GFG
Tirs pour
1794
32.04 Avg
Pourcentage en avantage numérique
14.5%
33 GF
Début de zone offensive
38.4%
Buts contre
200
3.57 GAA
Tirs contre
1731
30.91 Avg
Pourcentage en désavantage numérique
78.8%%
36 GA
Début de la zone défensive
33.9%
Informations de l'équipe

Directeur généralKeven St-Amand
EntraîneurAlex Kovalev
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,763
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 250
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
1Jeremy Bracco (R)X100.006931787671788280878772586759544356730231975,000$
2Andrei Svechnikov (R)X100.007133828363777685717376639254507056730204950,000$
3Anatoli GolyshevX100.006633737472747373768472626357564056700252900,000$
4Matias Maccelli (R)X100.006334767157747776838777556248456646700201500,000$
5Jesperi Kotkaniemi (R)X100.007735806972776876746866677248436232680203700,000$
6Michael JolyX100.006920767369757364717671646554513535680251800,000$
7Liam Foudy (R)X100.006731787864716276727167628144436144680202900,000$
8Barrett Hayton (R)X100.006533746858637565818474545645446056670203800,000$
9Joe Veleno (R)X100.006947797065746669717071607045446156670203800,000$
10Dylan Cozens (R)X100.005733827457736966828771516243417146670191500,000$
11Brandon Biro (R)X100.006939797367706672736872587146464656670222700,000$
12Ty Dellandrea (R)X100.007044836668707073677270597243426443670203800,000$
13Blake Lizotte (R)X100.005328767655676174686571636947474138650232500,000$
14Cam Hillis (R)X100.006132796555666666768261465242435756630204600,000$
15Tristen Robins (R)X100.006134635756655862645152535340407635560182500,000$
16Ryan Lindgren (R)X100.007634867673766966506963816260475146720224900,000$
17Gustav Lindstrom (R)X100.007334817766647085497463745857474846710221800,000$
18Nils Lundkvist (R)X100.006735808167647382508161745555446554710204900,000$
19Moritz Seider (R)X100.005833798457687682398363725146428056690191500,000$
20Jake Sanderson (R)X100.007043816465737272466355715840409256660182500,000$
21Michael DowningX100.005440747561666874487754724849493256660251500,000$
22Blake Hillman (R)X100.007153746272737359396244635447493432640242500,000$
Rayé
1Jakub Vrana (R)X76.497138777671797677776978757762524022730241950,000$
MOYENNE D’ÉQUIPE98.98663678736471707366746663644946564768
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
1Josef Korenar100.00746573747259646471647348464566660221600,000$
Rayé
1Pyotr Kochetkov94.00855774898461637073609048457133700211500,000$
2Lukas Dostal100.00568048596158577269564942426140600203500,000$
MOYENNE D’ÉQUIPE98.0072676574725961697160714644594665
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Kovalev66646970404258RUS502750,000$


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
1Andrei SvechnikovCrunch (T.B)RW5638438162401125826610218314.29%24116920.889817521991013844049.17%1816521021.3913000384
2Matias MaccelliCrunch (T.B)LW563531667460102491865612018.82%27112420.076814302020003407146.15%913515011.1700000604
3Jeremy BraccoCrunch (T.B)RW562726531116083561575110117.20%2285415.2635815940002474258.93%564120011.2423000292
4Anatoli GolyshevCrunch (T.B)LW56193049222609061149349712.75%2296617.26639241420004651142.11%572917001.0100000620
5Jesperi KotkaniemiCrunch (T.B)C591234461234010310182214714.63%29103517.5525778610131162247.87%12891617000.8900000004
6Dylan CozensCrunch (T.B)C54162743111606872101215615.84%1994517.52191091790000193052.10%10001214000.9100000214
7Gustav LindstromCrunch (T.B)D5443236216080968652354.65%86137225.41156151930000135000%02743000.5200000021
8Nils LundkvistCrunch (T.B)D5022729214056818041442.50%60121724.34077131880003111000%02430000.4800000011
9Moritz SeiderCrunch (T.B)D5632629320041719229363.26%70119021.25235191780005106000%01938000.4900000111
10Jakub VranaCrunch (T.B)RW351313264100553683285915.66%1458116.622135840113691153.85%391813010.8913000211
11Barrett HaytonCrunch (T.B)C5671623024069588222668.54%1777213.800118900000340049.74%3901910000.6000000001
12Joe VelenoCrunch (T.B)LW5681220320503668184011.76%105439.70000040000512064.29%14213000.7400000300
13Brandon BiroCrunch (T.B)LW5613720-13100704675285717.33%1863611.36000132000040257.14%211515000.6300000002
14Ryan LindgrenCrunch (T.B)D261151664041603019133.33%4767225.87033386000272000%0826000.4800000001
15Jake SandersonCrunch (T.B)D56210121916048463714135.41%4288315.77011264000048000%0427000.2700000000
16Blake LizotteCrunch (T.B)C425712-312025335718408.77%114019.5600000000170143.33%120167000.6000000001
17Connor BunnamanLightningC19291100039423210266.25%1335618.780114230000370047.20%42865000.6200000001
18Michael JolyCrunch (T.B)RW39281006033304312264.65%53228.27000010000010100.00%4173000.6200000000
19Michael DowningCrunch (T.B)D5627952402649415194.88%4786915.52112362000244100%0334000.2100000000
20Ty DellandreaCrunch (T.B)RW51516-34029831102116.13%52104.1400008000000066.67%354000.5700000000
21Liam FoudyCrunch (T.B)RW53246-8601828395225.13%52564.85000012000061050.00%233000.4700000001
22Cam HillisCrunch (T.B)C56235-66011141411114.29%92664.7600003000080050.98%10244000.3700000000
23Blake HillmanCrunch (T.B)D42011-214035247250%2543210.3000000000012000%019000.0500000000
24Tristen RobinsCrunch (T.B)C39000120130000%0370.96000000000310041.67%120100000000000
Statistiques d’équipe totales ou en moyenne1179220389609793520128511581838599113711.97%6271711914.523361942101941213311158271049.36%3809408379050.7149000252529
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
1Pyotr KochetkovCrunch (T.B)31171110.9052.9817710088930552220.6673302120
2Josef KorenarCrunch (T.B)26101320.8604.22143600101723400100.60052429000
3Lukas DostalCrunch (T.B)52000.8952.9616200876470000225000
Statistiques d’équipe totales ou en moyenne62292430.8863.5133700019717299993285656120


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
Anatoli GolyshevCrunch (T.B)LW251995-01-01RUSNo187 Lbs5 ft8NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm900,000$260,947$0$0$No900,000$--------900,000$--------No--------Lien
Andrei SvechnikovCrunch (T.B)RW202000-01-01RUSYes195 Lbs6 ft2NoNoFree Agent2025-04-13NoNo42025-10-01FalseFalsePro & Farm950,000$275,444$0$0$No2,500,000$3,500,000$4,500,000$------2,500,000$3,500,000$4,500,000$------NoNoNo------Lien
Barrett HaytonCrunch (T.B)C202000-01-01CANYes207 Lbs6 ft1NoNoFree Agent2025-07-17NoNo32025-10-01FalseFalsePro & Farm800,000$231,953$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Blake HillmanCrunch (T.B)D241996-01-01USAYes181 Lbs6 ft1NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Blake LizotteCrunch (T.B)C231997-01-01USAYes172 Lbs5 ft7NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Brandon BiroCrunch (T.B)LW221998-01-01CANYes170 Lbs5 ft11NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm700,000$202,959$0$0$No800,000$--------600,000$--------No--------Lien
Cam HillisCrunch (T.B)C202000-01-01CANYes189 Lbs5 ft10NoNoFree AgentNoNo42025-10-01FalseFalsePro & Farm600,000$173,964$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------Lien
Dylan CozensCrunch (T.B)C192001-01-01CANYes194 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Gustav LindstromCrunch (T.B)D221998-01-01SWEYes183 Lbs6 ft2NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm800,000$231,953$0$0$No---------------------------Lien
Jake SandersonCrunch (T.B)D182002-01-01USAYes186 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Jakub Vrana (sur la masse salariale)Crunch (T.B)RW241996-01-01CZEYes197 Lbs6 ft0NoNoTrade2025-07-17NoNo12024-08-20FalseFalsePro & Farm950,000$275,444$0$0$Yes---------------------------Lien
Jeremy BraccoCrunch (T.B)RW231997-01-01USAYes185 Lbs5 ft11NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm975,000$282,692$0$0$No---------------------------Lien
Jesperi KotkaniemiCrunch (T.B)C202000-01-01FINYes201 Lbs6 ft2NoNoTrade2026-01-21NoNo32025-09-12FalseFalsePro & Farm700,000$202,959$0$0$No800,000$900,000$-------800,000$900,000$-------NoNo-------Lien
Joe VelenoCrunch (T.B)LW202000-01-01CANYes206 Lbs6 ft1NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm800,000$231,953$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Josef KorenarCrunch (T.B)G221998-01-01CZENo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm600,000$173,964$0$0$No---------------------------Lien
Liam FoudyCrunch (T.B)RW202000-01-01CANYes188 Lbs6 ft2NoNoFree AgentNoNo22025-10-01FalseFalsePro & Farm900,000$260,947$0$0$No900,000$--------900,000$--------No--------Lien
Lukas DostalCrunch (T.B)G202000-01-01CZENo174 Lbs6 ft2NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Matias MaccelliCrunch (T.B)LW202000-01-01FINYes176 Lbs5 ft11NoNoTrade2025-04-10NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Michael DowningCrunch (T.B)D251995-01-01USANo185 Lbs6 ft3NoNoFree AgentNoNo12025-10-01FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Michael JolyCrunch (T.B)RW251995-01-01CANNo185 Lbs5 ft10NoNoTrade2024-09-24NoNo1FalseFalsePro & Farm800,000$231,953$0$0$No---------------------------Lien
Moritz SeiderCrunch (T.B)D192001-01-01DEUYes205 Lbs6 ft3NoNoTrade2025-04-10NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Nils LundkvistCrunch (T.B)D202000-01-01SWEYes190 Lbs5 ft11NoNoFree Agent2024-08-20NoNo42025-10-01FalseFalsePro & Farm900,000$260,947$0$0$No950,000$2,000,000$3,750,000$------900,000$2,000,000$3,750,000$------NoNoNo------Lien
Pyotr KochetkovCrunch (T.B)G211999-01-01RUSNo205 Lbs6 ft3NoNoTrade2025-07-17NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Ryan LindgrenCrunch (T.B)D221998-01-01USAYes198 Lbs6 ft0NoNoFree AgentNoNo42025-10-01FalseFalsePro & Farm900,000$260,947$0$0$No950,000$2,000,000$2,500,000$------950,000$2,000,000$2,500,000$------NoNoNo------Lien
Tristen RobinsCrunch (T.B)C182002-01-01CANYes174 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Ty DellandreaCrunch (T.B)RW202000-01-01CANYes195 Lbs6 ft1NoNoFree AgentNoNo32025-10-01FalseFalsePro & Farm800,000$231,953$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2621.23189 Lbs6 ft02.12695,192$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anatoli GolyshevJesperi KotkaniemiJeremy Bracco40122
2Matias MaccelliDylan CozensAndrei Svechnikov30122
3Brandon BiroBarrett HaytonMichael Joly20122
4Joe VelenoBlake LizotteLiam Foudy10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan LindgrenNils Lundkvist40122
2Gustav LindstromMoritz Seider30122
3Michael DowningJake Sanderson20122
4Blake HillmanRyan Lindgren10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anatoli GolyshevJesperi KotkaniemiJeremy Bracco60122
2Matias MaccelliDylan CozensAndrei Svechnikov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan LindgrenNils Lundkvist60122
2Gustav LindstromMoritz Seider40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jeremy BraccoAndrei Svechnikov60122
2Anatoli GolyshevMatias Maccelli40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan LindgrenNils Lundkvist60122
2Gustav LindstromMoritz Seider40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jeremy Bracco60122Ryan LindgrenNils Lundkvist60122
2Andrei Svechnikov40122Gustav LindstromMoritz Seider40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jeremy BraccoAndrei Svechnikov60122
2Anatoli GolyshevMatias Maccelli40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan LindgrenNils Lundkvist60122
2Gustav LindstromMoritz Seider40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anatoli GolyshevJesperi KotkaniemiJeremy BraccoRyan LindgrenNils Lundkvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anatoli GolyshevJesperi KotkaniemiJeremy BraccoRyan LindgrenNils Lundkvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Dellandrea, Cam Hillis, Tristen RobinsTy Dellandrea, Cam HillisTristen Robins
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Downing, Jake Sanderson, Blake HillmanMichael DowningJake Sanderson, Blake Hillman
Tirs de pénalité
Jeremy Bracco, Andrei Svechnikov, Anatoli Golyshev, Matias Maccelli, Michael Joly
Gardien
#1 : , #2 : Josef Korenar
Lignes d’attaque personnalisées en prolongation
Jeremy Bracco, Andrei Svechnikov, Anatoli Golyshev, Matias Maccelli, Michael Joly, Liam Foudy, Jesperi Kotkaniemi, Brandon Biro, Ty Dellandrea, Dylan Cozens
Lignes de défense personnalisées en prolongation
Ryan Lindgren, Nils Lundkvist, Gustav Lindstrom, Moritz Seider, Michael Downing


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
1Admirals21100000972110000007431010000023-120.500916250056886757455164459612591814356116.67%7185.71%0607124048.95%558109351.05%43689348.82%12397081140504996515
2Americans2010001047-3100000103211010000015-420.50046100056886755555164459612582812619111.11%6183.33%0607124048.95%558109351.05%43689348.82%12397081140504996515
3Barracuda2200000011470000000000022000000114741.000111829005688675665516445961265271251400.00%6183.33%0607124048.95%558109351.05%43689348.82%12397081140504996515
4Bears2110000078-1110000004311010000035-220.50071219105688675505516445961259251252400.00%6183.33%0607124048.95%558109351.05%43689348.82%12397081140504996515
5Canucks11000000514110000005140000000000021.000561100568867527551644596122871022300.00%5180.00%0607124048.95%558109351.05%43689348.82%12397081140504996515
6Checkers1010000024-21010000024-20000000000000.00023500568867529551644596122191415700.00%7185.71%0607124048.95%558109351.05%43689348.82%12397081140504996515
7Comets41101100191811010000034-1310011001614250.625193453005688675142551644596121323526787228.57%13284.62%0607124048.95%558109351.05%43689348.82%12397081140504996515
8Condors20200000512-71010000024-21010000038-500.00059140056886755155164459612752420427114.29%10190.00%0607124048.95%558109351.05%43689348.82%12397081140504996515
9Eagles32100000912-3110000004312110000059-440.6679172600568867585551644596128635165815213.33%8187.50%0607124048.95%558109351.05%43689348.82%12397081140504996515
10Firebirds1010000014-31010000014-30000000000000.000112005688675315516445961250166195120.00%30100.00%0607124048.95%558109351.05%43689348.82%12397081140504996515
11Griffins11000000312110000003120000000000021.000369005688675275516445961228161013200.00%50100.00%0607124048.95%558109351.05%43689348.82%12397081140504996515
12Gulls30300000616-1020200000512-71010000014-300.0006101600568867580551644596121044614741000.00%7442.86%0607124048.95%558109351.05%43689348.82%12397081140504996515
13Icehogs220000001064110000005411100000052341.0001018280056886756555164459612602185010330.00%4250.00%0607124048.95%558109351.05%43689348.82%12397081140504996515
14Islander11000000826110000008260000000000021.0008142200568867534551644596123215430100.00%2150.00%0607124048.95%558109351.05%43689348.82%12397081140504996515
15Little Stars321000001192211000007701100000042240.6671122330056886759955164459612882614621317.69%7271.43%0607124048.95%558109351.05%43689348.82%12397081140504996515
16Marlies412000011420-61010000024-2311000011216-430.3751424380056886751455516445961211130229318316.67%11281.82%1607124048.95%558109351.05%43689348.82%12397081140504996515
17Moose22000000734110000004221100000031241.0007121900568867564551644596125516164510220.00%8362.50%0607124048.95%558109351.05%43689348.82%12397081140504996515
18Penguins321000001468211000005321100000093640.667142640005688675104551644596128438207419526.32%10190.00%0607124048.95%558109351.05%43689348.82%12397081140504996515
19Punishers1000010023-11000010023-10000000000010.5002350056886753655164459612287621300.00%3166.67%0607124048.95%558109351.05%43689348.82%12397081140504996515
20Roadrunners1010000035-21010000035-20000000000000.00036910568867530551644596124013617100.00%3166.67%0607124048.95%558109351.05%43689348.82%12397081140504996515
21Rockets615000002126-5312000001413130300000713-620.16721365700568867519655164459612185562413829310.34%12283.33%0607124048.95%558109351.05%43689348.82%12397081140504996515
22Thunderbirds21100000660110000004311010000023-120.500610160056886756755164459612633112475120.00%6183.33%0607124048.95%558109351.05%43689348.82%12397081140504996515
23Wolfpack11000000624110000006240000000000021.00061117005688675395516445961230910178225.00%50100.00%0607124048.95%558109351.05%43689348.82%12397081140504996515
24Wranglers641000103118133300000017893110001014104100.83331538400568867519855164459612190623212131516.13%16662.50%0607124048.95%558109351.05%43689348.82%12397081140504996515
Total56262401221214200143016120011011698182610120111198102-4610.545214373587205688675179455164459612173161034012352273314.54%1703678.82%1607124048.95%558109351.05%43689348.82%12397081140504996515
_Since Last GM Reset56262401221214200143016120011011698182610120111198102-4610.545214373587205688675179455164459612173161034012352273314.54%1703678.82%1607124048.95%558109351.05%43689348.82%12397081140504996515
_Vs Conference3515160111113713161789000006258418770111175732360.51413723937600568867511425516445961210863792067511552314.84%1032080.58%1607124048.95%558109351.05%43689348.82%12397081140504996515
_Vs Division1667011107162974300000342599240111037370170.531711231940056886755365516445961250715382337671014.93%411075.61%0607124048.95%558109351.05%43689348.82%12397081140504996515

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5661W421437358717941731610340123520
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5626241221214200
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
301612011011698
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
261012111198102
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2273314.54%1703678.82%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
551644596125688675
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
607124048.95%558109351.05%43689348.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12397081140504996515


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
13Gulls5Crunch2LSommaire du match
427Marlies4Crunch2LSommaire du match
641Crunch3Marlies4LXXSommaire du match
854Crunch7Comets6WXSommaire du match
1064Comets4Crunch3LSommaire du match
1281Gulls7Crunch3LSommaire du match
1595Crunch2Rockets5LSommaire du match
17107Rockets5Crunch8WSommaire du match
19118Crunch6Wranglers5WXXSommaire du match
21133Wranglers4Crunch6WSommaire du match
23148Crunch3Rockets5LSommaire du match
25157Crunch4Comets5LXSommaire du match
26167Rockets3Crunch2LSommaire du match
29180Crunch8Marlies7WSommaire du match
32194Wranglers2Crunch5WSommaire du match
35212Bears3Crunch4WSommaire du match
39236Condors4Crunch2LSommaire du match
43260Penguins1Crunch4WR1Sommaire du match
44269Crunch3Condors8LSommaire du match
47285Crunch3Moose1WSommaire du match
48292Wranglers2Crunch6WSommaire du match
51312Punishers3Crunch2LXSommaire du match
52321Crunch3Bears5LSommaire du match
55334Crunch3Barracuda1WSommaire du match
56341Rockets5Crunch4LSommaire du match
58360Crunch1Americans5LSommaire du match
60368Moose2Crunch4WSommaire du match
63387Crunch2Admirals3LSommaire du match
64393Islander2Crunch8WSommaire du match
67417Thunderbirds3Crunch4WSommaire du match
69431Crunch2Thunderbirds3LSommaire du match
71443Americans2Crunch3WXXSommaire du match
73458Crunch1Eagles7LR1Sommaire du match
75468Crunch1Gulls4LSommaire du match
76474Roadrunners5Crunch3LSommaire du match
79495Crunch5Comets3WSommaire du match
80498Canucks1Crunch5WSommaire du match
83522Griffins1Crunch3WSommaire du match
84527Crunch2Rockets3LSommaire du match
87544Crunch1Marlies5LSommaire du match
88551Eagles3Crunch4WR1Sommaire du match
91570Crunch9Penguins3WR1Sommaire du match
92577Little Stars4Crunch6WSommaire du match
95594Crunch6Wranglers1WSommaire du match
96603Checkers4Crunch2LR1Sommaire du match
100625Little Stars3Crunch1LSommaire du match
101638Crunch2Wranglers4LSommaire du match
102646Crunch8Barracuda3WSommaire du match
103654Penguins2Crunch1LR1Sommaire du match
107678Icehogs4Crunch5WSommaire du match
109686Crunch5Icehogs2WSommaire du match
111704Firebirds4Crunch1LSommaire du match
113714Crunch4Little Stars2WSommaire du match
116730Wolfpack2Crunch6WR1Sommaire du match
118742Crunch4Eagles2WSommaire du match
120755Admirals4Crunch7WSommaire du match
122764Crunch-Wolfpack-
124781Griffins-Crunch-
125787Crunch-Griffins-
128808Barracuda-Crunch-
130817Crunch-Senators-
132833Crunch-Firebirds-
133836Wolfpack-Crunch-
136855Crunch-Islander-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
137862Gulls-Crunch-
138869Crunch-Senators-
141888Senators-Crunch-
143899Crunch-Roadrunners-
144907Crunch-Punishers-
146914Marlies-Crunch-
147923Crunch-Canucks-
150939Crunch-Firebirds-
151947Marlies-Crunch-
154966Senators-Crunch-
155969Crunch-Checkers-
160993Comets-Crunch-
1611006Crunch-Canucks-
1641018Comets-Crunch-
1651027Crunch-Roadrunners-
1661031Crunch-Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance55,20227,684
Assistance PCT92.00%92.28%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 2763 - 92.10% 174,002$5,220,074$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,995,862$ 2,522,500$ 2,522,500$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,926$ 1,463,319$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,740,025$ 49 19,364$ 948,836$




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

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

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

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

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