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Connexion

Crunch
GP: 19 | W: 12 | L: 7
GF: 66 | GA: 56 | PP%: 13.56% | PK%: 85.48%
DG: Eric Pilon | Morale : 50 | Moyenne d’équipe : 66

Centre de jeu
Heat
16-4-0, 32pts
5
FINAL
3 Crunch
12-7-0, 24pts
Team Stats
W4SéquenceL4
9-2-0Fiche domicile6-3-0
7-2-0Fiche domicile6-4-0
9-1-0Derniers 10 matchs3-7-0
3.90Buts par match 3.47
2.60Buts contre par match 2.95
19.80%Pourcentage en avantage numérique13.56%
81.94%Pourcentage en désavantage numérique85.48%
Heat
16-4-0, 32pts
4
FINAL
2 Crunch
12-7-0, 24pts
Team Stats
W4SéquenceL4
9-2-0Fiche domicile6-3-0
7-2-0Fiche domicile6-4-0
9-1-0Derniers 10 matchs3-7-0
3.90Buts par match 3.47
2.60Buts contre par match 2.95
19.80%Pourcentage en avantage numérique13.56%
81.94%Pourcentage en désavantage numérique85.48%
Meneurs d'équipe
Buts
Alexei Morozov
9
Passes
Craig Adams
15
Points
Craig Adams
22
Plus/Moins
Dmitri Mironov
19
Victoires
John Grahame
12
Pourcentage d’arrêts
John Grahame
0.887

Statistiques d’équipe
Buts pour
66
3.47 GFG
Tirs pour
571
30.05 Avg
Pourcentage en avantage numérique
13.6%
8 GF
Début de zone offensive
41.0%
Buts contre
56
2.95 GAA
Tirs contre
493
25.95 Avg
Pourcentage en désavantage numérique
85.5%%
9 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralEric Pilon
EntraîneurBruce Cassidy
DivisionDivision 2
ConférenceEST
Capitaine
Assistant #1
Assistant #2Scott Mellanby


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,200


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 65
Espoirs3


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
1Valery Zelepukin0X100.0050468673767175757076777174778925507103431,450,000$
2Todd Harvey0X100.0099993580757880755773677165585874507102731,150,000$
3Michael Peca0X100.0054389783717070708771688574666939507002831,475,000$
4Steven Reinprecht (R)0X100.0066418071736872789180718066566164507002641,350,000$
5Scott Mellanby (A)27X100.009286466674738063696563747091987506903611,150,000$
6Alexei Morozov (R)95X100.004626997773638080687775717260516450690251681,000$
7Peter Worrell28X100.009999336584698269446567845957516250690251735,000$
8Craig Adams (R)0X100.007769727474667980716766836743487750690251450,000$
9Alyn McCauley (R)10X100.005732967774718764785756766657516950650251600,000$
10Matt Stajan (R)0X100.007470687872716669846765685534358550650183450,000$
11Mikael Andersson0X100.00382699697362726162616070649999850640362650,000$
12Stephane Veilleux (R)0X100.007855757274777966685961655044458050640203450,000$
13Dmitri Mironov0X100.005245926378717469667266816299971507103721,450,000$
14Karlis Skrastins3X100.0093855464778182603555499148645159507102831,450,000$
15Filip Kuba (R)0X100.0061458774817274742576608254635575507002641,450,000$
16Martin Skoula (R)0X100.0069419076806773804468628054495382506902331,050,000$
17Anton Volchenkov (R)0X100.006952677176757370256245824540428250660203450,000$
18Stanislav Neckar0X100.005347927379626858355651755561616050640272675,000$
Rayé
1Antti Laaksonen0X100.004230977472698071615658676375635850630292750,000$
2Sean Pronger0X100.004739997778546958645957676167735850620302625,000$
3Bates Battaglia (R)0X100.007144726777748656545452636462516150610263515,000$
4Jamie Wright0X100.006043886974768163465252666659505550610264650,000$
5Stacy Roest0X100.005932966971717758785250706267536350610281600,000$
6Carlo Colaiacovo (R)0X100.006058777671727164356650744043448250650193450,000$
7Joel Bouchard0X100.004440897675576258465742773461646550630283665,000$
8Andy Delmore (R)0X100.005535906974646852254948725462526350620264650,000$
MOYENNE D’ÉQUIPE100.00645180727569756757645975596260585066
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
1John Grahame0100.00676866787084797878606450546450710273750,000$
2Ty Conklin (R)0100.00626569736766656871686248526450650262450,000$
Rayé
1Dan Blackburn (R)0100.00635554646262655961556042397250580192450,000$
MOYENNE D’ÉQUIPE100.0064636372667170687061624748675065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy75787680657290CAN37295,000$


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
1Craig AdamsCrunch (TAM)C197152292083868154510.29%437019.5223517470000441045.68%40500001.1900000102
2Alexei MorozovCrunch (TAM)RW199101970003077144211.69%235918.950111748000002056.67%3000011.0600000110
3Steven ReinprechtCrunch (TAM)C194151970021465215377.69%336519.25022749000050062.98%47000001.0400000012
4Valery ZelepukinCrunch (TAM)LW198816122042460143813.33%135718.8110110490000154040.91%2200000.9000000141
5Todd HarveyCrunch (TAM)RW197916-32915632350164714.00%130315.97213949000001043.75%1600001.0500012210
6Matt StajanCrunch (TAM)C1977140552264173017.07%128414.972131348000000150.31%32400000.9800001100
7Peter WorrellCrunch (TAM)LW1931013329560214910366.12%338520.2702212480000401115.00%2000000.6800100012
8Dmitri MironovCrunch (TAM)D19471119204161782123.53%1743322.81145950000049100%000100.5100000101
9Anton VolchenkovCrunch (TAM)D1911011172406310911011.11%2838420.2200009000039100%000000.5700000121
10Stanislav NeckarCrunch (TAM)D19358-27565123625.00%1533717.7601106000025110%000000.4700010001
11Alyn McCauleyCrunch (TAM)LW1935802002219112015.79%428615.07011020000500160.00%1500000.5600000001
12Scott MellanbyCrunch (TAM)RW192571121553162513178.00%125713.5600003000000058.82%1700000.5400010000
13Martin SkoulaCrunch (TAM)D16156-4402210196145.26%1835722.370001138000043000%000000.3400000000
14Michael PecaCrunch (TAM)C19134-400327288233.57%222111.66000030002570051.46%23900000.3600000000
15Filip KubaCrunch (TAM)D15134-460211911369.09%1330320.2500042900007000%000000.2600000010
16Karlis SkrastinsCrunch (TAM)D10134-8180391123350.00%1420220.2600001000022000%000000.3900000100
17Stephane VeilleuxCrunch (TAM)LW19314-520264176917.65%01528.0300000000000033.33%900000.5200000000
18Carlo ColaiacovoCrunch (TAM)D120331803375020%1023819.91000317000025000%000000.2500000000
19Mikael AnderssonCrunch (TAM)RW19101-50001093711.11%21548.1200000000000061.54%1300000.1300000000
20Duvie WestcottLightningD40003401221320%56817.010000000001000%00000000000000
Statistiques d’équipe totales ou en moyenne34266124190541653544036757115941511.56%144582517.0381624112503000242912452.72%158000110.650013391111
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
1John GrahameCrunch (TAM)1912700.8872.811131035346700100190301
2Ty ConklinCrunch (TAM)20000.9202.14560022500000019000
Statistiques d’équipe totales ou en moyenne2112700.8882.781187035549200101919301


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
Alexei MorozovCrunch (TAM)RW252004-02-16RUSYes184 Lbs6 ft1NoNoExpansion DraftNoNo12024-08-07FalseFalsePro & Farm681,000$0$0$No---------------------------
Alyn McCauleyCrunch (TAM)LW252004-05-29CANYes202 Lbs6 ft0NoNoFree AgentNoNo12025-09-16FalseFalsePro & Farm600,000$0$0$No---------------------------
Andy DelmoreCrunch (TAM)D262003-12-26CANYes200 Lbs6 ft1NoNoFree AgentNoNo42025-09-16FalseFalsePro & Farm650,000$0$0$No650,000$650,000$650,000$------650,000$650,000$650,000$------NoNoNo------
Anton VolchenkovCrunch (TAM)D202009-09-01RUSYes235 Lbs6 ft0NoNoTrade2026-01-28NoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Antti LaaksonenCrunch (TAM)LW292000-10-03FINNo180 Lbs6 ft0NoNoFree AgentNoNo22025-03-25FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Bates BattagliaCrunch (TAM)LW262003-12-13USAYes209 Lbs6 ft2NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm515,000$0$0$No515,000$515,000$-------515,000$515,000$-------NoNo-------
Carlo ColaiacovoCrunch (TAM)D192010-09-01CANYes202 Lbs6 ft1NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Craig AdamsCrunch (TAM)C252004-04-26CANYes200 Lbs6 ft0NoNoExpansion DraftNoNo12024-08-21FalseFalsePro & Farm450,000$0$0$No---------------------------
Dan BlackburnCrunch (TAM)G192010-03-28CANYes180 Lbs6 ft0NoNoProspectNoNo22025-03-28FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Lien
Dmitri MironovCrunch (TAM)D371992-02-09RUSNo217 Lbs6 ft3NoNoFree AgentNoNo22025-03-25FalseFalsePro & Farm1,450,000$0$0$No1,450,000$--------1,450,000$--------No--------
Filip KubaCrunch (TAM)D262003-12-29CZEYes226 Lbs6 ft4NoNoFree AgentNoNo42025-09-16FalseFalsePro & Farm1,450,000$0$0$No1,450,000$1,450,000$1,450,000$------1,450,000$1,450,000$1,450,000$------NoNoNo------
Jamie WrightCrunch (TAM)LW262003-05-13CANNo198 Lbs6 ft0NoNoFree AgentNoNo42025-09-16FalseFalsePro & Farm650,000$0$0$No650,000$650,000$650,000$------650,000$650,000$650,000$------NoNoNo------
Joel Bouchard (contrat à 1 volet)Crunch (TAM)D282001-02-09CANNo192 Lbs6 ft2NoNoFree AgentNoNo32025-09-23FalseFalsePro & Farm665,000$665,000$0$No665,000$665,000$-------665,000$665,000$-------NoNo-------
John GrahameCrunch (TAM)G272002-08-31USANo210 Lbs6 ft2NoNoFree Agent2024-08-27NoNo32025-09-20FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Karlis SkrastinsCrunch (TAM)D282001-07-19LETNo210 Lbs6 ft1NoNoFree AgentNoNo32025-03-21FalseFalsePro & Farm1,450,000$0$0$No1,450,000$1,450,000$-------1,450,000$1,450,000$-------NoNo-------
Martin SkoulaCrunch (TAM)D232006-10-28CZEYes226 Lbs6 ft3NoNoTrade2026-01-28NoNo32025-09-15FalseFalsePro & Farm1,050,000$0$0$No1,050,000$1,050,000$-------1,050,000$1,050,000$-------NoNo-------
Matt StajanCrunch (TAM)C182011-09-01CANYes195 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Michael PecaCrunch (TAM)C282001-02-09CANNo184 Lbs5 ft11NoNoFree Agent2024-06-03NoNo32025-09-20FalseFalsePro & Farm1,475,000$0$0$No1,475,000$1,475,000$-------1,475,000$1,475,000$-------NoNo-------
Mikael AnderssonCrunch (TAM)RW361993-02-09SWENo189 Lbs5 ft11NoNoFree AgentNoNo22025-09-26FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------
Peter WorrellCrunch (TAM)LW252004-08-18CANNo234 Lbs6 ft8NoNoExpansion DraftNoNo12024-08-07FalseFalsePro & Farm735,000$0$0$No---------------------------
Scott MellanbyCrunch (TAM)RW361993-02-09CANNo201 Lbs6 ft1NoNoFree AgentNoNo12025-09-26FalseFalsePro & Farm1,150,000$0$0$No---------------------------
Sean ProngerCrunch (TAM)C301999-02-09CANNo206 Lbs6 ft3NoNoFree AgentNoNo22025-03-25FalseFalsePro & Farm625,000$0$0$No625,000$--------625,000$--------No--------
Stacy RoestCrunch (TAM)C282001-05-15CANNo190 Lbs5 ft10NoNoFree AgentNoNo12025-03-25FalseFalsePro & Farm600,000$0$0$No---------------------------
Stanislav NeckarCrunch (TAM)D272002-04-19CZRNo220 Lbs6 ft1NoNoFree AgentNoNo22025-03-25FalseFalsePro & Farm675,000$0$0$No675,000$--------675,000$--------No--------
Stephane VeilleuxCrunch (TAM)LW202009-09-01CANYes200 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Steven ReinprechtCrunch (TAM)C262003-05-07CANYes195 Lbs6 ft0NoNoFree AgentNoNo42025-09-16FalseFalsePro & Farm1,350,000$0$0$No1,350,000$1,350,000$1,350,000$------1,350,000$1,350,000$1,350,000$------NoNoNo------
Todd HarveyCrunch (TAM)RW272002-04-19CANNo202 Lbs6 ft1NoNoExpansion DraftNoNo32025-03-11FalseFalsePro & Farm1,150,000$0$0$No1,150,000$1,150,000$-------1,150,000$1,150,000$-------NoNo-------
Ty ConklinCrunch (TAM)G262003-03-28USAYes185 Lbs6 ft1NoNoProspectNoNo22025-03-28FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Lien
Valery ZelepukinCrunch (TAM)LW341995-02-09CANNo205 Lbs6 ft1NoNoFree AgentNoNo32025-09-23FalseFalsePro & Farm1,450,000$0$0$No1,450,000$1,450,000$-------1,450,000$1,450,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.55203 Lbs6 ft12.48816,241$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valery ZelepukinSteven ReinprechtTodd Harvey40014
2Peter WorrellCraig AdamsAlexei Morozov30023
3Alyn McCauleyMatt StajanScott Mellanby25023
4Stephane VeilleuxMichael PecaMikael Andersson5131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri MironovMartin Skoula35041
2Karlis SkrastinsFilip Kuba35041
3Anton VolchenkovStanislav Neckar30041
4Dmitri MironovAnton Volchenkov0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valery ZelepukinSteven ReinprechtAlexei Morozov50014
2Peter WorrellMatt StajanTodd Harvey50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Craig AdamsDmitri Mironov50041
2Filip KubaMartin Skoula50041
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael PecaPeter Worrell50050
2Craig AdamsAlyn McCauley50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Karlis SkrastinsDmitri Mironov50050
2Anton VolchenkovMartin Skoula50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Peca50050Karlis SkrastinsDmitri Mironov50140
2Craig Adams50050Anton VolchenkovMartin Skoula50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Steven ReinprechtScott Mellanby50023
2Matt StajanTodd Harvey50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri MironovAnton Volchenkov50041
2Karlis SkrastinsFilip Kuba50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valery ZelepukinSteven ReinprechtAlexei MorozovDmitri MironovFilip Kuba
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alyn McCauleyMichael PecaCraig AdamsDmitri MironovKarlis Skrastins
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Valery Zelepukin, Alexei Morozov, Michael PecaAlexei Morozov, Valery ZelepukinMichael Peca
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitri Mironov, Karlis Skrastins, Anton VolchenkovDmitri MironovDmitri Mironov, Karlis Skrastins
Tirs de pénalité
Alexei Morozov, Scott Mellanby, Craig Adams, Alyn McCauley, Todd Harvey
Gardien
#1 : John Grahame, #2 : Ty Conklin


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
1Citadelles44000000208122200000094522000000114781.00020355501232316415617318618725973428861915.26%90100.00%033964852.31%31560252.33%17933054.24%491339444141253132
2Heat404000001019-92020000059-420200000510-500.0001019291023231641001731861872510835368016318.75%18572.22%033964852.31%31560252.33%17933054.24%491339444141253132
3Senators440000001679220000009452200000073481.00016304601232316413117318618725872522976233.33%11190.91%033964852.31%31560252.33%17933054.24%491339444141253132
4Wolfpack743000002022-23210000067-1422000001415-180.57120406001232316418417318618725201507917718211.11%24387.50%033964852.31%31560252.33%17933054.24%491339444141253132
Total1912700000665610963000002924510640000037325240.632661241901323231645711731861872549314416544059813.56%62985.48%033964852.31%31560252.33%17933054.24%491339444141253132
_Since Last GM Reset1912700000665610963000002924510640000037325240.632661241901323231645711731861872549314416544059813.56%62985.48%033964852.31%31560252.33%17933054.24%491339444141253132
_Vs Conference1512300000563719761000002415986200000322210240.800561051610323231644711731861872538510912936043511.63%44490.91%033964852.31%31560252.33%17933054.24%491339444141253132
_Vs Division11830000040301054100000151146420000025196160.727407511502232316434017318618725298841072633738.11%33390.91%033964852.31%31560252.33%17933054.24%491339444141253132

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1924L46612419057149314416544013
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1912700006656
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96300002924
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
106400003732
Derniers 10 matchs
WLOTWOTL SOWSOL
172000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
59813.56%62985.48%0
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
173186187252323164
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
33964852.31%31560252.33%17933054.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
491339444141253132


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
14Citadelles0Crunch4WSommaire du match
212Citadelles4Crunch5WXSommaire du match
320Crunch6Citadelles1WSommaire du match
428Crunch5Citadelles3WSommaire du match
858Senators1Crunch3WSommaire du match
962Senators3Crunch6WSommaire du match
1066Crunch3Senators0WSommaire du match
1170Crunch4Senators3WSommaire du match
1585Crunch5Wolfpack4WXSommaire du match
1687Crunch3Wolfpack4LSommaire du match
1789Wolfpack0Crunch1WSommaire du match
1891Wolfpack3Crunch0LSommaire du match
1993Crunch3Wolfpack5LSommaire du match
2095Wolfpack4Crunch5WXSommaire du match
2197Crunch3Wolfpack2WXSommaire du match
2299Crunch2Heat4LSommaire du match
23100Crunch3Heat6LSommaire du match
24101Heat5Crunch3LSommaire du match
25102Heat4Crunch2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets255
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,300,600$ 2,300,600$ 95,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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