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Connexion

Crunch
GP: 82 | W: 53 | L: 23 | OTL: 6 | P: 112
GF: 315 | GA: 190 | PP%: 21.25% | PK%: 89.10%
DG: Ron | Morale : 50 | Moyenne d’équipe : 57

Centre de jeu
Crunch
53-23-6, 112pts
2
FINAL
4 Penguins
30-50-2, 62pts
Team Stats
OTL1SéquenceW4
26-12-3Fiche domicile16-23-2
27-11-3Fiche domicile14-27-0
6-2-2Derniers 10 matchs7-3-0
3.84Buts par match 3.23
2.32Buts contre par match 4.71
21.25%Pourcentage en avantage numérique12.89%
89.10%Pourcentage en désavantage numérique79.22%
Canucks
60-17-5, 125pts
5
FINAL
4 Crunch
53-23-6, 112pts
Team Stats
OTW1SéquenceOTL1
31-6-4Fiche domicile26-12-3
29-11-1Fiche domicile27-11-3
10-0-0Derniers 10 matchs6-2-2
4.44Buts par match 3.84
2.01Buts contre par match 2.32
17.85%Pourcentage en avantage numérique21.25%
87.18%Pourcentage en désavantage numérique89.10%
Meneurs d'équipe
Buts
Fabian Lysell
48
Passes
Riley Damiani
54
Points
Fabian Lysell
98
Plus/Moins
Riley Damiani
34
Victoires
Ty Young
53
Pourcentage d’arrêts
Ruslan Khazheyev
0.92

Statistiques d’équipe
Buts pour
315
3.84 GFG
Tirs pour
2229
27.18 Avg
Pourcentage en avantage numérique
21.3%
78 GF
Début de zone offensive
42.7%
Buts contre
190
2.32 GAA
Tirs contre
1543
18.82 Avg
Pourcentage en désavantage numérique
89.1%%
41 GA
Début de la zone défensive
34.4%
Informations de l'équipe

Directeur généralRon
EntraîneurDan Hinote
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,944
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 51
Espoirs40


Historique d'équipe

Saison actuelle53-23-6 (112PTS)
Historique0-0-0
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
1Jonathan Lekkerimaki (R)X100.006942976963637573256164607546466650620213918,333$
2Brian Halonen (R)X100.007574786974778161505068646544446650620272800,000$
3Fabian Lysell (R)X100.0063418568666580652563585925454563506002311,034,167$
4Givani SmithX100.008099637381454661255055682561626050590281775,000$
5Riley DamianiX100.006759846159747955694956585344445850570261775,000$
6Jakub BrabenecXX100.007669936569727752654951624844445850570222828,333$
7Gabriel FortierX100.007164886564636655504758605544445950570261775,000$
8Jack Malone (R)XXX100.007972956472525252654356645344445850560253775,000$
9Tyler Tullio (R)X100.006660806060707455505056585344445950560231833,333$
10Ethan KeppenX100.007875866375434057714960645744446050560252775,000$
11Philippe DaoustXX100.007772906572515055695650634844445850560242821,667$
12Victor Mancini (R)X100.007745897383677159255448702546466150640233870,000$
13Elias Pettersson2 (R)X100.007966828171608359254648652546465950630223838,333$
14Luca Cagnoni (R)X100.007164866864808561255454625144446350620213895,000$
15Taige Harding (R)X100.008290648090494953255239653744445550610243775,000$
16Ronan SeeleyX100.007971976471768445253540623844445350590231837,500$
17Bryce Montgomery (R)X100.008081778081505341252839613744444950570233775,000$
Rayé
1Sonny MilanoXX100.0079709980703533465038446842666753505502912,000,000$
2Matthew Maggio (R)X100.007367866367525352504950614844445650540233775,000$
3Robert Mastrosimone (R)XX100.006860866260494953504457585444445650530253775,000$
4Lucas EdmondsXX100.007164876464474651504751594844445450530252950,000$
5Jett WooX100.007174636574535549254240593844445150550251775,000$
6Akito HiroseX100.006764756464535450254342574044445150540271775,000$
7Rodwin Dionicio (R)X100.006976546376424052253753595044445450540223925,000$
8Eemil ViroX100.007471816471515344253339593744444950540242902,500$
MOYENNE D’ÉQUIPE100.00746883687058615441475162454646575057
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
1Ty Young (R)100.00514050745451545754543044445250530213825,000$
2Ruslan Khazheyev (R)100.00454556834344505246473044444750500213775,000$
Rayé
MOYENNE D’ÉQUIPE100.0048435379494852555051304444505052
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Hinote74726967706579USA473500,000$


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
1Fabian LysellCrunch (TBL)RW8248509825555431132627116118.32%20148318.0912162850264000066243.36%11300031.32130001064
2Jonathan LekkerimakiCrunch (TBL)RW8248449230280471303158419615.24%15147317.97131023632730000125342.68%8200021.2503000767
3Riley DamianiCrunch (TBL)C82265480343551001501844711814.13%31174221.255152032273123142673161.72%168500010.9211010385
4Jakub BrabenecCrunch (TBL)C/LW822549741771251431921904611413.16%38188322.975111639272033123165161.80%217000010.7913131264
5Philippe DaoustCrunch (TBL)C/LW822546713410745144871584510515.82%30155518.975152032239112112005171.28%9400000.9100243643
6Luca CagnoniCrunch (TBL)D82204666262804064145437513.79%28138016.841425399132320221042023.08%1300000.9600000422
7Gabriel FortierCrunch (TBL)LW8222386025500111921965314911.22%25183322.36391230260202182856150.70%14200000.6512000323
8Jack MaloneCrunch (TBL)C/LW/RW82223658344151041351544211814.29%32143217.4625747600061525057.85%104400000.8111100343
9Ethan KeppenCrunch (TBL)LW82222951258410106791875014711.76%15125315.291233230001423166.67%6300000.8122110325
10Jack FinleyLightningC/LW/RW48262248249010102631414110718.44%680116.70681426162000039062.00%10000021.2000200313
11Matthew MaggioCrunch (TBL)RW68162642283806581128237912.50%498714.5200000000002056.82%4400000.8500000233
12Elias Pettersson2Crunch (TBL)D82102838-57751375010129659.90%56151918.5361218642350000156300%100000.5000010113
13Jake ChristiansenLightningD421126377220364758173218.97%3792221.9861117401350110133300%000000.8000000041
14Victor ManciniCrunch (TBL)D8232528-14601014927151411.11%59130115.87000170001152000%000000.4300000001
15Taige HardingCrunch (TBL)D82721282210810165523151522.58%3396211.74022734000024110%000000.5800200132
16Brian HalonenCrunch (TBL)RW4019625-171807463115358616.52%4846311.5900011000020038.46%2600011.0800000123
17Givani SmithCrunch (TBL)RW82371042351282721611.11%31161.42224933000022050.00%1400001.7223100001
18Tyler TullioCrunch (TBL)RW82000200204010%0300.370000300001000%00000000000000
Statistiques d’équipe totales ou en moyenne1346353553906314921125153214552423648159814.57%4802114315.718014322349226216713651866601160.04%5591000100.8691810104495453
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
1Ty YoungCrunch (TBL)82532350.8752.2947704918214550400.55618820312
2Ruslan KhazheyevCrunch (TBL)60010.9202.201910078800000082000
Statistiques d’équipe totales ou en moyenne88532360.8782.294961491891543040188282312


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
Akito HiroseCrunch (TBL)D271999-04-09CANNo170 Lbs6 ft0NoNoFree Agent2025-02-09NoYes12025-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Brian HalonenCrunch (TBL)RW271999-01-11USAYes207 Lbs6 ft0NoNoTrade2026-01-09NoYes22025-08-02FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Bryce MontgomeryCrunch (TBL)D232002-11-12USAYes216 Lbs6 ft4NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Eemil ViroCrunch (TBL)D242002-04-03FINNo190 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-19FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------Lien
Elias Pettersson2Crunch (TBL)D222004-02-16SWEYes185 Lbs6 ft2NoNoAssign ManuallyNoNo32025-06-14FalseFalsePro & Farm838,333$0$0$No838,333$838,333$-------838,333$838,333$-------NoNo-------Lien
Ethan KeppenCrunch (TBL)LW252001-03-20ONNo203 Lbs6 ft2NoNoAssign ManuallyNoYes22025-08-19FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Fabian LysellCrunch (TBL)RW232003-01-19SWEYes181 Lbs5 ft11NoNoTrade2025-08-02NoNo1FalseFalsePro & Farm1,034,167$0$0$No---------------------------Lien
Gabriel FortierCrunch (TBL)LW262000-02-06CANNo179 Lbs5 ft11NoNoFree AgentNoYes12025-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Givani SmithCrunch (TBL)RW281998-02-27CANNo214 Lbs6 ft2NoNoFree AgentNoYes12025-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jack MaloneCrunch (TBL)C/LW/RW252000-10-13USAYes195 Lbs6 ft1NoNoAssign ManuallyNoYes32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Jakub BrabenecCrunch (TBL)C/LW222003-09-11CZENo185 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-19FalseFalsePro & Farm828,333$0$0$No828,333$--------828,333$--------No--------Lien
Jett WooCrunch (TBL)D252000-07-27MANNo205 Lbs6 ft0NoNoFree AgentNoYes12025-08-19FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Jonathan LekkerimakiCrunch (TBL)RW212004-07-24SWEYes172 Lbs5 ft11NoNoAssign ManuallyNoNo32025-06-14FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Lien
Luca CagnoniCrunch (TBL)D212004-12-21CANYes180 Lbs5 ft9NoNoAssign ManuallyNoNo32025-06-14FalseFalsePro & Farm895,000$0$0$No895,000$895,000$-------895,000$895,000$-------NoNo-------Lien
Lucas EdmondsCrunch (TBL)LW/RW252001-01-27ONTNo178 Lbs5 ft11NoNoAssign ManuallyNoYes22024-07-19FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Matthew MaggioCrunch (TBL)RW232002-11-25ONTYes187 Lbs5 ft11NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Philippe DaoustCrunch (TBL)C/LW242001-11-05ONNo195 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-19FalseFalsePro & Farm821,667$0$0$No821,667$--------821,667$--------No--------Lien
Riley DamianiCrunch (TBL)C262000-03-20ONTNo161 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Robert MastrosimoneCrunch (TBL)C/LW252001-01-24USAYes165 Lbs5 ft10NoNoAssign ManuallyNoYes32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Rodwin DionicioCrunch (TBL)D222004-03-30SWIYes207 Lbs6 ft2NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Ronan SeeleyCrunch (TBL)D232002-08-02CANNo192 Lbs6 ft1NoNoTrade2024-07-12NoNo1FalseFalsePro & Farm837,500$0$0$No---------------------------Lien
Ruslan KhazheyevCrunch (TBL)G212004-11-20RUSYes201 Lbs6 ft4NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Sonny MilanoCrunch (TBL)LW/RW291996-05-12USANo194 Lbs6 ft0NoNoFree AgentNoYes12024-08-01FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Taige HardingCrunch (TBL)D242002-01-03GBRYes237 Lbs6 ft7NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Ty YoungCrunch (TBL)G212004-09-11CANYes183 Lbs6 ft3NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
Tyler TullioCrunch (TBL)RW232002-05-04USAYes165 Lbs5 ft10NoNoTrade2024-06-30NoNo1FalseFalsePro & Farm833,333$0$0$No---------------------------Lien
Victor ManciniCrunch (TBL)D232002-05-26USAYes229 Lbs6 ft3NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.00192 Lbs6 ft12.11873,302$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gabriel FortierJakub BrabenecJonathan Lekkerimaki40023
2Philippe DaoustRiley DamianiFabian Lysell30023
3Ethan KeppenJack Malone20221
4Gabriel FortierJakub BrabenecFabian Lysell10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Victor ManciniElias Pettersson230221
3Luca CagnoniTaige Harding20122
410221
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gabriel FortierJakub BrabenecJonathan Lekkerimaki60122
2Philippe DaoustRiley DamianiFabian Lysell40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca Cagnoni60122
2Elias Pettersson240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakub BrabenecGabriel Fortier60122
2Riley DamianiPhilippe Daoust40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Victor ManciniElias Pettersson240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jakub Brabenec6012260122
2Riley Damiani40122Victor ManciniElias Pettersson240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jakub BrabenecGabriel Fortier60122
2Riley DamianiPhilippe Daoust40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Victor ManciniElias Pettersson240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gabriel FortierJakub BrabenecJonathan LekkerimakiLuca Cagnoni
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gabriel FortierJakub BrabenecGivani Smith
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Fortier, Riley Damiani, Jack MaloneGabriel Fortier, Riley DamianiGabriel Fortier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Elias Pettersson2, Luca Cagnoni, Taige HardingElias Pettersson2Elias Pettersson2, Luca Cagnoni
Tirs de pénalité
Jonathan Lekkerimaki, Fabian Lysell, Givani Smith, Jakub Brabenec, Gabriel Fortier
Gardien
#1 : Ty Young, #2 : Ruslan Khazheyev
Lignes d’attaque personnalisées en prolongation
Jonathan Lekkerimaki, Fabian Lysell, Givani Smith, Jakub Brabenec, Gabriel Fortier, Riley Damiani, Jack Malone, Tyler Tullio, Philippe Daoust, Ethan Keppen
Lignes de défense personnalisées en prolongation
, , Victor Mancini, Elias Pettersson2, Luca Cagnoni


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
1 Americans2020000016-51010000014-31010000002-200.00012300126102781628722746729503992435900.00%12283.33%01457231762.88%1096186358.83%733124358.97%232017041677526968523
2Admirals211000007611010000014-31100000062420.500712190012610278168072274672950499123210440.00%5180.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
3Barracuda2110000046-21010000015-41100000031220.50047110012610278163972274672950491639344125.00%15193.33%01457231762.88%1096186358.83%733124358.97%232017041677526968523
4Bears2200000016016110000008081100000080841.00016254102126102781673722746729501621840200.00%80100.00%11457231762.88%1096186358.83%733124358.97%232017041677526968523
5Bruins2020000017-61010000013-21010000004-400.00012300126102781626722746729503992239900.00%10280.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
6Canucks41200100811-32010010068-22110000023-130.3758142200126102781692722746729509318378329517.24%16193.75%01457231762.88%1096186358.83%733124358.97%232017041677526968523
7Checkers431000001082321000007701100000031260.75010182800126102781673722746729505927728415320.00%25292.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
8Comets421010001991022000000121112010100078-160.75019335201126102781615372274672950922742110800.00%21195.24%11457231762.88%1096186358.83%733124358.97%232017041677526968523
9Condors4210100015782110000043121001000114760.750152944001261027816116722746729507527326914428.57%16287.50%01457231762.88%1096186358.83%733124358.97%232017041677526968523
10Eagles21100000660110000003031010000036-320.500611170112610278163972274672950502130289333.33%15286.67%01457231762.88%1096186358.83%733124358.97%232017041677526968523
11Firebirds2200000016115110000007161100000090941.000162844011261027816947227467295028719393266.67%7185.71%01457231762.88%1096186358.83%733124358.97%232017041677526968523
12Griffins440000001578220000008262200000075281.00015264100126102781610872274672950571263841119.09%14285.71%11457231762.88%1096186358.83%733124358.97%232017041677526968523
13Gulls2200000017413110000008261100000092741.0001729460012610278167972274672950301124443133.33%11190.91%21457231762.88%1096186358.83%733124358.97%232017041677526968523
14Ice Hogs2200000016412110000008351100000081741.000163046001261027816106722746729502532150200.00%8187.50%01457231762.88%1096186358.83%733124358.97%232017041677526968523
15Islanders330000002041611000000505220000001541161.00020385801126102781613672274672950482420644125.00%9188.89%01457231762.88%1096186358.83%733124358.97%232017041677526968523
16Marlies43001000176112200000010462100100072581.00017284500126102781693722746729508424306925624.00%10190.00%11457231762.88%1096186358.83%733124358.97%232017041677526968523
17Monsters4200011014113220000008532000011066070.8751421350012610278161027227467295078284969311032.26%21290.48%01457231762.88%1096186358.83%733124358.97%232017041677526968523
18Moose20101000660100010003211010000034-120.5006111700126102781640722746729503217163513215.38%8275.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
19Penguins2110000056-1110000003211010000024-220.50051015001261027816557227467295033723381119.09%7271.43%01457231762.88%1096186358.83%733124358.97%232017041677526968523
20Phantoms2000020079-21000010045-11000010034-120.5007121900126102781660722746729505415333012216.67%14378.57%01457231762.88%1096186358.83%733124358.97%232017041677526968523
21Reign211000007701010000034-11100000043120.5007121900126102781645722746729504714123111218.18%5180.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
22Roadrunners220000001257110000005411100000071641.0001222340012610278167572274672950247203413646.15%10370.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
23Rocket51300100916-72100010075230300000211-930.300916250012610278168772274672950110337110427311.11%25292.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
24Senators40101011880201010004402000001144050.6258142200126102781664722746729507433586314428.57%22290.91%01457231762.88%1096186358.83%733124358.97%232017041677526968523
25Silver Knights21100000862110000006331010000023-120.500812200012610278164272274672950321424361417.14%12191.67%01457231762.88%1096186358.83%733124358.97%232017041677526968523
26Stars220000001358110000007161100000064241.000132134001261027816667227467295042912408225.00%60100.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
27Thunderbirds2200000016313110000007161100000092741.000163147001261027816767227467295030312494375.00%5180.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
28Wild211000006241010000012-11100000050520.5006101601126102781654722746729503019223711218.18%110100.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
29Wolf Pack20101000611-51010000017-61000100054120.5006101600126102781646722746729504917313114321.43%90100.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
30Wolves21001000413100010002111100000020241.00047110112610278164072274672950361325348337.50%10190.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
31Wranglers211000006241010000012-11100000050520.50069150112610278164272274672950399203119315.79%90100.00%01457231762.88%1096186358.83%733124358.97%232017041677526968523
Total824423075213151901254123120330015295574121110422116395681120.683315550865091261027816222972274672950154348493315663677821.25%3764189.10%61457231762.88%1096186358.83%733124358.97%232017041677526968523
_Since Last GM Reset824423075213151901254123120330015295574121110422116395681120.683315550865091261027816222972274672950154348493315663677821.25%3764189.10%61457231762.88%1096186358.83%733124358.97%232017041677526968523
_Vs Conference48231205521159114452414502300865432249703221736013660.6881592744330512610278161208722746729509222895949422204219.09%2212290.05%41457231762.88%1096186358.83%733124358.97%232017041677526968523
_Vs Division251370332161583139201200382991245021212329-6400.80061106167001261027816479722746729504621473404781101715.45%1181388.98%21457231762.88%1096186358.83%733124358.97%232017041677526968523

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82112OTL131555086522291543484933156609
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8244237521315190
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412312330015295
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
412111422116395
Derniers 10 matchs
WLOTWOTL SOWSOL
521200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3677821.25%3764189.10%6
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
722746729501261027816
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
1457231762.88%1096186358.83%733124358.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
232017041677526968523


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
213Senators1Crunch0LSommaire du match
531Crunch1Rocket4LSommaire du match
748Checkers2Crunch3WSommaire du match
968Marlies1Crunch6WSommaire du match
1290Crunch3Griffins2WSommaire du match
1498Monsters3Crunch4WSommaire du match
16116Crunch2Senators3LXXSommaire du match
18131Griffins1Crunch5WSommaire du match
20146Crunch3Monsters4LXSommaire du match
23162Crunch7Condors1WSommaire du match
25173Condors1Crunch4WSommaire du match
28196Canucks3Crunch2LSommaire du match
31222Crunch0Rocket2LSommaire du match
32231Checkers1Crunch2WSommaire du match
36257Rocket2Crunch1LXSommaire du match
40285Crunch2Canucks1WSommaire du match
41291Rocket3Crunch6WSommaire du match
44320Crunch3Monsters2WXXSommaire du match
45322Ice Hogs3Crunch8WSommaire du match
49352Wild2Crunch1LSommaire du match
53379Crunch0Bruins4LSommaire du match
54385Checkers4Crunch2LSommaire du match
57409Crunch9Thunderbirds2WSommaire du match
58417Griffins1Crunch3WSommaire du match
61441Crunch7Roadrunners1WSommaire du match
62449Moose2Crunch3WXSommaire du match
65476Crunch2Senators1WXXSommaire du match
66482Bruins3Crunch1LSommaire du match
69504Crunch4Condors3WXSommaire du match
71513Senators3Crunch4WXSommaire du match
74538Crunch3Comets5LSommaire du match
75545Eagles0Crunch3WSommaire du match
78565Crunch3Eagles6LSommaire du match
80578Bears0Crunch8WSommaire du match
82598Crunch5Wolf Pack4WXSommaire du match
84609Roadrunners4Crunch5WSommaire du match
86625Crunch2Wolves0WSommaire du match
88640Firebirds1Crunch7WSommaire du match
90657Crunch0 Americans2LSommaire du match
92669Crunch6Admirals2WSommaire du match
93676Thunderbirds1Crunch7WSommaire du match
97706Condors2Crunch0LSommaire du match
99721Crunch10Islanders2WSommaire du match
101736Crunch3Checkers1WSommaire du match
102744Islanders0Crunch5WSommaire du match
105771Gulls2Crunch8WSommaire du match
109791Crunch8Ice Hogs1WSommaire du match
110804Wolves1Crunch2WXSommaire du match
113826Crunch0Canucks2LSommaire du match
114834 Americans4Crunch1LSommaire du match
119866Barracuda5Crunch1LSommaire du match
122883Crunch5Islanders2WSommaire du match
124898Admirals4Crunch1LSommaire du match
126918Crunch9Gulls2WSommaire du match
128930Crunch6Stars4WSommaire du match
129933Penguins2Crunch3WSommaire du match
132954Crunch4Comets3WXSommaire du match
133965Marlies3Crunch4WSommaire du match
137992Crunch4Reign3WSommaire du match
138999Wolf Pack7Crunch1LSommaire du match
1411025Wranglers2Crunch1LSommaire du match
1431034Crunch3Moose4LSommaire du match
1451051Crunch3Phantoms4LXSommaire du match
1461060Crunch3Barracuda1WSommaire du match
1471063Comets1Crunch8WSommaire du match
1501088Crunch8Bears0WSommaire du match
1511094Comets0Crunch4WSommaire du match
1541117Crunch5Wranglers0WSommaire du match
1561126Reign4Crunch3LSommaire du match
1591153Crunch2Silver Knights3LSommaire du match
1601158Silver Knights3Crunch6WSommaire du match
1611168Crunch5Wild0WSommaire du match
1631185Crunch9Firebirds0WSommaire du match
1641190Crunch4Griffins3WSommaire du match
1651197Monsters2Crunch4WSommaire du match
1681219Crunch2Marlies1WXSommaire du match
1691222Crunch1Rocket5LSommaire du match
1711238Stars1Crunch7WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731251Crunch5Marlies1WSommaire du match
1751271Phantoms5Crunch4LXSommaire du match
1771285Crunch2Penguins4LSommaire du match
1811306Canucks5Crunch4LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets300
Assistance82,00038,699
Assistance PCT100.00%94.39%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2944 - 98.13% 60,000$2,460,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,963,925$ 2,357,916$ 2,357,916$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,815$ 2,463,985$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,532$ 0$




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