Connexion

National
GP: 64 | W: 58 | L: 6 | OTL: 0 | P: 116
GF: 471 | GA: 182 | PP%: 62.40% | PK%: 66.51%
DG: Benoit Tassé | Morale : 97 | Moyenne d’équipe : 68
Prochains matchs #790 vs Sharks
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Centre de jeu
National
58-6-0, 116pts
4
FINAL
5 Senators
18-41-5, 41pts
Team Stats
W1SéquenceL1
32-1-0Fiche domicile10-18-5
26-5-0Fiche domicile8-23-0
9-1-0Derniers 10 matchs7-2-1
7.36Buts par match 4.17
2.84Buts contre par match 5.66
62.40%Pourcentage en avantage numérique40.00%
66.51%Pourcentage en désavantage numérique48.11%
Extreme
33-29-4, 70pts
1
FINAL
7 National
58-6-0, 116pts
Team Stats
L2SéquenceW1
20-11-1Fiche domicile32-1-0
13-18-3Fiche domicile26-5-0
4-5-1Derniers 10 matchs9-1-0
4.14Buts par match 7.36
4.24Buts contre par match 2.84
37.32%Pourcentage en avantage numérique62.40%
55.66%Pourcentage en désavantage numérique66.51%
National
58-6-0, 116pts
Jour 110
Sharks
34-27-5, 73pts
Statistiques d’équipe
W1SéquenceL2
32-1-0Fiche domicile18-11-3
26-5-0Fiche visiteur16-16-2
9-1-010 derniers matchs3-6-1
7.36Buts par match 5.27
2.84Buts contre par match 5.27
62.40%Pourcentage en avantage numérique59.90%
66.51%Pourcentage en désavantage numérique50.74%
National
58-6-0, 116pts
Jour 111
Vikings
24-36-3, 51pts
Statistiques d’équipe
W1SéquenceW1
32-1-0Fiche domicile14-18-1
26-5-0Fiche visiteur10-18-2
9-1-010 derniers matchs6-4-0
7.36Buts par match 4.35
2.84Buts contre par match 4.35
62.40%Pourcentage en avantage numérique42.63%
66.51%Pourcentage en désavantage numérique47.01%
Prospects
28-33-4, 60pts
Jour 112
National
58-6-0, 116pts
Statistiques d’équipe
L1SéquenceW1
14-15-3Fiche domicile32-1-0
14-18-1Fiche visiteur26-5-0
6-4-010 derniers matchs9-1-0
5.14Buts par match 7.36
5.91Buts contre par match 7.36
41.33%Pourcentage en avantage numérique62.40%
49.36%Pourcentage en désavantage numérique66.51%
Meneurs d'équipe
Buts
Jansen Harkins
70
Passes
Jansen Harkins
108
Points
Jansen Harkins
178
Plus/Moins
Jansen Harkins
90
Victoires
Casey DeSmith
55
Pourcentage d’arrêts
Casey DeSmith
0.9

Statistiques d’équipe
Buts pour
471
7.36 GFG
Tirs pour
3004
46.94 Avg
Pourcentage en avantage numérique
62.4%
156 GF
Début de zone offensive
35.0%
Buts contre
182
2.84 GAA
Tirs contre
1758
27.47 Avg
Pourcentage en désavantage numérique
66.5%%
70 GA
Début de la zone défensive
31.2%
Informations de l'équipe

Directeur généralBenoit Tassé
EntraîneurLane Lambert
DivisionRoy
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro15
Équipe Mineure20
Limite contact 35 / 55
Espoirs30


Historique d'équipe

Saison actuelle58-6-0 (116PTS)
Historique146-146-11 (0.482%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)0-8
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
1Alex BelzileX100.00766091858478407463737578566771068710321975,000$
2Fabian Zetterlund (R)X98.00756695828579747051736669506870083680241750,000$
3Jansen Harkins (R)X99.00745388837676406750647074507069085670272925,000$
4A.J. Greer (R)X100.00887761778775656650666675506971081670272762,500$
5Vincent Desharnais (R)X98.00827182779179406450676082506871082700282950,000$
6Arber Xhekaj (R)X100.00959059779981576950686962506870082690232828,333$
7Zach BogosianX100.00937481819180526350646166508681083690331880,000$
8Jacob Moverare (R)X100.00866295768580406050606075506565054670252600,000$
9Slater KoekkoekX100.00806382888066406250656065507270085650301925,000$
10Maxime Lajoie (R)X100.00735795917773406050606059506870087630261750,007$
Rayé
1Tyler MotteXXHO906297848678687053697087507577014710291950,000$
2Brandon Duhaime (R)X100.00948182828876556750617378517070064680271750,000$
3Jack Drury (R)X98.01645492877376416667686375506971061660242925,000$
4Bobby McMann (R)X83.83886195848676406350656068506466060650282600,000$
MOYENNE D’ÉQUIPE98.2983678582857749665266657251707107168
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
1Casey DeSmith99.00767978817775737576767471760867403221,800,000$
Rayé
MOYENNE D’ÉQUIPE99.007679788177757375767674717608674
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lane Lambert84898194707199CAN593550,000$


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
1Jansen HarkinsNational (BRA)C617010817890120879439612424417.68%21118819.482547725713210111510367.15%15197646083.000100013178
2Alex BelzileNational (BRA)RW40497312259181048592578415119.07%2485221.3215334831900110967366.57%3386737062.86000029122
3Fabian ZetterlundNational (BRA)LW40614810962392558362557312823.92%2587021.7621173829861017947562.50%885333092.50003111454
4Zach BogosianNational (BRA)D592482106777420142653191271387.52%65167828.441933525016705513148310%068117011.2600202268
5Arber XhekajNational (BRA)D611770877412745129522221201077.66%44114418.77101727178102210923133.33%35074001.5200324424
6A.J. GreerNational (BRA)LW3945408537612597342278215019.82%1972218.5316163233850115323246.43%284737052.3500410628
7Brandon DuhaimeNational (BRA)RW24242852211154319112446621.43%941417.258142214561014244153.85%263615022.5100001452
8Vincent DesharnaisNational (BRA)D3173441456230662810753586.54%4679425.6356111184022367100%02066011.0300600111
9Slater KoekkoekNational (BRA)D613323542235643212463642.42%3777212.67123423101115000%02239000.9100001012
10Maxime LajoieNational (BRA)D61424284355502513648572.94%3475312.3602237000061000%01635000.7400100013
11Bobby McMannNational (BRA)C191113241800261596326111.46%527514.4800004000000071.43%140275011.7400000202
12Jack DruryNational (BRA)C8314171355141019102815.79%112015.12112110000032075.49%102105002.8100100010
13Jacob MoverareNational (BRA)D5055600767040%48416.910000800008000%005001.1800000001
Statistiques d’équipe totales ou en moyenne5093185718895874371758314752277860125613.97%334967219.001211883092508394111544661401667.07%22444925140331.840120411555345
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
1Casey DeSmithNational (BRA)6155500.9002.7736220316716788224000610043
Statistiques d’équipe totales ou en moyenne6155500.9002.773622031671678822400610043


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
A.J. GreerNational (BRA)LW271996-12-14 03:47:28Yes209 Lbs6 ft3NoNoN/ANoNo2Pro & Farm762,500$152,500$0$0$No762,500$--------No--------
Alex BelzileNational (BRA)RW321991-08-31 03:37:51No196 Lbs6 ft0NoNoFree AgentNoNo12024-03-15Pro & Farm975,000$195,000$0$0$No------------------
Arber XhekajNational (BRA)D232001-01-30 04:03:29Yes240 Lbs6 ft4NoNoN/ANoNo2Pro & Farm828,333$165,667$0$0$No828,333$--------No--------
Bobby McMann (sur la masse salariale)National (BRA)C281996-06-15 06:58:33Yes210 Lbs6 ft2NoNoFree AgentNoNo22024-06-01Pro & Farm600,000$120,000$0$0$No600,000$--------No--------
Brandon DuhaimeNational (BRA)RW271997-05-22 12:57:05Yes200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$150,000$0$0$No------------------
Casey DeSmithNational (BRA)G321991-08-13 16:47:44No181 Lbs6 ft0NoNoFree AgentNoNo22024-03-15Pro & Farm1,800,000$360,000$0$0$No1,800,000$--------No--------
Fabian ZetterlundNational (BRA)LW241999-08-25 09:14:09Yes220 Lbs5 ft11NoNoTrade2024-04-14NoNo1Pro & Farm750,000$150,000$0$0$No------------------
Jack DruryNational (BRA)C242000-02-03 13:47:03Yes174 Lbs5 ft11NoNoN/ANoNo2Pro & Farm925,000$185,000$0$0$No925,000$--------No--------
Jacob MoverareNational (BRA)D251998-08-31 04:55:25Yes210 Lbs6 ft3NoNoFree AgentNoNo22024-05-01Pro & Farm600,000$120,000$0$0$No600,000$--------No--------
Jansen HarkinsNational (BRA)C271997-05-23 06:13:36Yes182 Lbs6 ft1NoNoFree AgentNoNo22024-03-03Pro & Farm925,000$185,000$0$0$No925,000$--------No--------Lien
Maxime LajoieNational (BRA)D261997-11-05 15:40:29Yes196 Lbs6 ft1NoNoFree AgentNoNo12024-03-03Pro & Farm750,007$150,001$0$0$No------------------
Slater KoekkoekNational (BRA)D301994-02-18 03:26:19No193 Lbs6 ft2NoNoN/ANoNo1Pro & Farm925,000$185,000$0$0$No------------------Lien
Tyler MotteNational (BRA)LW/RW291995-03-10 09:26:19No191 Lbs5 ft10NoNoFree AgentNoYes12024-04-01Pro & Farm950,000$190,000$0$0$No------------------Lien
Vincent DesharnaisNational (BRA)D281996-05-29 14:13:51Yes226 Lbs6 ft7NoNoFree AgentNoNo22024-04-01Pro & Farm950,000$190,000$0$0$No950,000$--------No--------
Zach BogosianNational (BRA)D331990-07-15 03:26:19No215 Lbs6 ft3NoNoN/ANoNo1Pro & Farm880,000$176,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1527.67203 Lbs6 ft21.53891,389$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundJansen Harkins40122
2A.J. Greer30122
320122
4Fabian Zetterlund10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent DesharnaisZach Bogosian40122
2Arber Xhekaj30122
3Slater KoekkoekMaxime Lajoie20122
4Vincent DesharnaisZach Bogosian10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian ZetterlundJansen Harkins60122
2A.J. Greer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent DesharnaisZach Bogosian60122
2Arber Xhekaj40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Fabian Zetterlund60122
2A.J. Greer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent DesharnaisZach Bogosian60122
2Arber Xhekaj40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Vincent DesharnaisZach Bogosian60122
2Fabian Zetterlund40122Arber Xhekaj40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Fabian Zetterlund60122
2A.J. Greer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vincent DesharnaisZach Bogosian60122
2Arber Xhekaj40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundJansen HarkinsVincent DesharnaisZach Bogosian
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Fabian ZetterlundJansen HarkinsVincent DesharnaisZach Bogosian
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jansen Harkins, , Jansen Harkins
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Slater Koekkoek, Maxime Lajoie, Arber XhekajSlater KoekkoekMaxime Lajoie, Arber Xhekaj
Tirs de pénalité
, Fabian Zetterlund, , A.J. Greer, Jansen Harkins
Gardien
#1 : Casey DeSmith, #2 :


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
1Bolt44000000398312200000023518220000001631381.00039691080010720116302121075103989001013166106261765.38%8275.00%2793138657.22%687123755.54%810133960.49%1669105711474771022585
2Brawlers220000002351811000000134911000000101941.0002341640010720116307610751039890042163330141285.71%9188.89%0793138657.22%687123755.54%810133960.49%1669105711474771022585
3Destroyers22000000177101100000073411000000104641.0001728450010720116301001075103989005416293911763.64%7271.43%0793138657.22%687123755.54%810133960.49%1669105711474771022585
4Distraction4220000011110220000008532020000036-340.50011162700107201163018010751039890016455286814642.86%14657.14%0793138657.22%687123755.54%810133960.49%1669105711474771022585
5Dynamos11000000523000000000001100000052321.0005914001072011630461075103989002251423100.00%7185.71%1793138657.22%687123755.54%810133960.49%1669105711474771022585
6Extreme550000003562933000000214172200000014212101.0003556910110720116302481075103989001223754121181055.56%12283.33%0793138657.22%687123755.54%810133960.49%1669105711474771022585
7Falcons11000000725110000007250000000000021.0007132000107201163046107510398900351662311100.00%3166.67%0793138657.22%687123755.54%810133960.49%1669105711474771022585
8Guerriers du Nord440000003082211000000835330000002251781.00030487800107201163018710751039890010834499618844.44%12375.00%2793138657.22%687123755.54%810133960.49%1669105711474771022585
9Intrepides76100000522824440000003614223210000016142120.85752901420010720116302641075103989001595038148181583.33%20860.00%1793138657.22%687123755.54%810133960.49%1669105711474771022585
10L'Euphorie330000002071311000000541220000001531261.000203858001072011630137107510398900581121538450.00%8362.50%0793138657.22%687123755.54%810133960.49%1669105711474771022585
11Monkeys 4400000033112233000000248161100000093681.00033579000107201163020210751039890016059437610330.00%9455.56%2793138657.22%687123755.54%810133960.49%1669105711474771022585
12Monster330000002314911000000743220000001610661.000234265001072011630131107510398900102342940141178.57%12833.33%1793138657.22%687123755.54%810133960.49%1669105711474771022585
13Monsters22000000182161100000010281100000080841.000182846011072011630951075103989003514294111981.82%20100.00%0793138657.22%687123755.54%810133960.49%1669105711474771022585
14Patriotes21100000770110000005411010000023-120.50071118001072011630107107510398900932822367342.86%11281.82%0793138657.22%687123755.54%810133960.49%1669105711474771022585
15Prospects3300000018991100000011472200000075261.0001834520010720116301471075103989008129177413538.46%6266.67%0793138657.22%687123755.54%810133960.49%1669105711474771022585
16Senators21100000151051100000011561010000045-120.50015294400107201163098107510398900442026376466.67%13746.15%0793138657.22%687123755.54%810133960.49%1669105711474771022585
17Shokers5500000041162533000000207132200000021912101.0004168109001072011630248107510398900148506584201680.00%15753.33%0793138657.22%687123755.54%810133960.49%1669105711474771022585
18Vikings1100000011471100000011470000000000021.00011203100107201163053107510398900254202044100.00%5340.00%0793138657.22%687123755.54%810133960.49%1669105711474771022585
19Warriors21100000101001010000045-11100000065120.5001017270010720116301001075103989008212165712541.67%8362.50%0793138657.22%687123755.54%810133960.49%1669105711474771022585
20Wildcats2200000014311110000005051100000093641.00014203401107201163085107510398900331210446466.67%5180.00%0793138657.22%687123755.54%810133960.49%1669105711474771022585
21Youngblood5500000042123033000000266202200000016610101.0004276118001072011630242107510398900903251109181266.67%23482.61%1793138657.22%687123755.54%810133960.49%1669105711474771022585
Total64586000004711822893332100000262931693126500000209891201160.906471810128103107201163030041075103989001758565666132525015662.40%2097066.51%10793138657.22%687123755.54%810133960.49%1669105711474771022585
_Since Last GM Reset64586000004711822893332100000262931693126500000209891201160.906471810128103107201163030041075103989001758565666132525015662.40%2097066.51%10793138657.22%687123755.54%810133960.49%1669105711474771022585
_Vs Conference413830000029511418121210000001625310920173000001336172760.9272955098040210720116301894107510398900105834137984715510064.52%1234365.04%5793138657.22%687123755.54%810133960.49%1669105711474771022585
_Vs Division926300000593128416000000281612510300000311516522.889591061650010720116304421075103989002497598165321856.25%391464.10%0793138657.22%687123755.54%810133960.49%1669105711474771022585

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64116W1471810128130041758565666132503
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
645860000471182
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
33321000026293
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31265000020989
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
25015662.40%2097066.51%10
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
1075103989001072011630
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
793138657.22%687123755.54%810133960.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1669105711474771022585


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
12National4Intrepides3AWSommaire du match
321Intrepides5National8BWSommaire du match
429Intrepides3National5BWSommaire du match
640National9Guerriers du Nord1AWSommaire du match
855National9Guerriers du Nord2AWSommaire du match
1065Shokers4National7BWSommaire du match
1277Extreme2National9BWSommaire du match
1493Warriors5National4BLSommaire du match
16104National6Warriors5AWSommaire du match
18117Senators5National11BWSommaire du match
20127National5Intrepides2AWSommaire du match
21139National7Bolt2AWSommaire du match
22149Youngblood4National6BWSommaire du match
24157National9Extreme0AWSommaire du match
26175National5Prospects4AWSommaire du match
28185National1Distraction3ALSommaire du match
30194Monkeys 2National10BWSommaire du match
31209Monsters2National10BWSommaire du match
32221National5Extreme2AWSommaire du match
34229Destroyers3National7BWSommaire du match
36243National9Monster5AWSommaire du match
38256National11Shokers4AWSommaire du match
40264Shokers2National7BWSommaire du match
42280Monster4National7BWSommaire du match
44297Intrepides3National12BWSommaire du match
45308National10Destroyers4AWSommaire du match
48321Bolt2National12BWSommaire du match
49340Brawlers4National13BWSommaire du match
51350National2Prospects1AWSommaire du match
53364Distraction3National5BWSommaire du match
54377Falcons2National7BWSommaire du match
56389National2Distraction3ALSommaire du match
58401Distraction2National3BWSommaire du match
60412National7L'Euphorie2AWSommaire du match
62432National9Monkeys 3AWSommaire du match
63438Extreme1National5BWSommaire du match
65456Vikings4National11BWSommaire du match
67467National7Monster5AWSommaire du match
69478National8Youngblood4AWSommaire du match
70485Youngblood1National12BWSommaire du match
72501National7Intrepides9ALSommaire du match
74509Wildcats0National5BWSommaire du match
75524National2Patriotes3ALSommaire du match
77535L'Euphorie4National5BWSommaire du match
80554National10Brawlers1AWSommaire du match
82565Monkeys 3National7BWSommaire du match
83580Prospects4National11BWSommaire du match
85598Intrepides3National11BWSommaire du match
86604National9Wildcats3AWSommaire du match
87618National8Youngblood2AWSommaire du match
89627Shokers1National6BWSommaire du match
90644Monkeys 3National7BWSommaire du match
91656National9Bolt1AWSommaire du match
93666National8Monsters0AWSommaire du match
94674Patriotes4National5BWSommaire du match
96688National10Shokers5AWSommaire du match
98700Guerriers du Nord3National8BWSommaire du match
99712National4Guerriers du Nord2AWSommaire du match
100717National5Dynamos2AWSommaire du match
102726Bolt3National11BWSommaire du match
104744Youngblood1National8BWSommaire du match
105753National8L'Euphorie1AWSommaire du match
107769National4Senators5ALSommaire du match
108773Extreme1National7BWSommaire du match
110790National-Sharks-
111795National-Vikings-
112805Prospects-National-
114821Dynamos-National-
115831National-Les Restants-
116845Les Restants-National-
117850National-Monster-
118866National-Senators-
119874Monster-National-
121895Wildcats-National-
122899National-Warriors-
124917Sharks-National-
125920National-Les Restants-
126928National-Falcons-
127935National-Guerriers du Nord-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128946Prospects-National-
129952National-Sharks-
134981L'Euphorie-National-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,458,786$ 1,182,084$ 1,182,084$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,018,782$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 27 12,830$ 346,410$




National 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
1Zach Bogosian92521441961031492021135329.77%105252127.404063103890662051100.00%41.5500
2Jansen Harkins61701081789012879439617.68%21118819.4825477257101110367.15%83.0001
3Alex Belzile4657831406618546828919.72%3096821.051734513401108366.18%72.8900
4Fabian Zetterlund4061481096239583625523.92%2587021.762117382910177562.50%92.5000
5Arber Xhekaj6117708774127129522227.66%44114418.7710172717022103133.33%01.5200

National 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
1Casey DeSmith6155500.9002.7736220316716788224000

National Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
202282324302410422477-5541181801310219221-241142501100203256-5374422787120910741761693227566980679882669846687116025312549.41%32215452.17%20469110542.44%524133939.13%795190041.84%162692618947881412652
20236458600000471182289333210000026293169312650000020989120116471810128103107201163030041075103989001758565666132525015662.40%2097066.51%10793138657.22%687123755.54%810133960.49%1669105711474771022585
Total Saison régulière310135146010171116611668-715674640891086880068154618202801793868-753101661301246732333668263212963130453280328245996233062664480494548651.43%117158649.96%542266467948.43%2336518845.03%3300701647.04%653238356839282352712533
Séries éliminatoires
2022404000002341-18202000001017-7202000001324-1102344670066110101232652017063384313538.46%191710.53%1183847.37%307241.67%4310640.57%7244105366226
Total Séries éliminatoires808000003269-37404000001430-16404000001839-21032589000118130215626093030298868620840.00%382728.95%13712030.83%5212641.27%7118538.38%140842028113751

National 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

National 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