IceHogs
GP: 5 | W: 1 | L: 4
GF: 10 | GA: 14 | PP%: 10.64% | PK%: 92.11%
DG: Jonathan Samuel | Morale : 50 | Moyenne d'Équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 BroadhurstX100.00726394616366686075565765545555615000272725,000$
2Anthony LouisXX100.00645391655373775873525860555555614400252925,000$
3Brendan GaunceXX100.00807981717972756580596471616060675000264700,000$
4Carsen TwarynskiX100.00924691667357755626505864254545625000222925,000$
5Joakim NordstromXX100.008457897470627658295658882568706760002831,750,000$
6Julien GauthierX100.007344866984518556346455532547476150002221,163,333$
7Kole LindX100.006866716766717363506359615644446250002121,125,000$
8John HaydenXX100.00859953738554665732525873255959625000252750,000$
9Luke JohnsonX100.00717072677070726480566763644545665000252925,000$
10Riley NashXX100.007644947971618857766258738570716550003122,750,000$
11Frederik GauthierX100.00764594708854835780586080256364665000253675,000$
12Justin BaileyX100.00797979757975776850597170675252713700242700,000$
13Adam Ruzicka (R)XXX100.00827792637760615974565767544444625000213850,000$
14Lucas Elvenes (R)XX100.00736590656567686550685864554444645000203776,667$
15Tommy Novak (R)X100.00736690686667686379655763544444635000233823,750$
16Kyle CapobiancoX100.006766696466646464255955615245456250002211,000,000$
17Gustav ForslingX100.00736884686867705625474865465959595000242925,000$
18Robert BortuzzoX100.008158857082616854254948752566686040003111,150,000$
Rayé
1Pierre-Edouard BellemareX100.006752918072659062906564842568707079003532,550,000$
2Andreas MartinsenXX100.00848287608259624950444570436464555000301675,600$
3Alexandre CarrierX100.006763776863788458255742624055555750002311,000,000$
4Michael PaliottaX100.00777874637849514525353961374444505000272600,000$
5Joseph Duszak (R)X100.006866716766555460255946604444445750002211,000,000$
MOYENNE D'ÉQUIPE100.0075658368726372595156566845545462500
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 SP
1Alex Nedeljkovic100.0060729070566658656362304444624900
2Matt Tomkins (R)100.0052637979495350574949304444535000
Rayé
1Stuart Skinner100.0050546881485150555050304444514600
MOYENNE D'ÉQUIPE100.005463797751575359545430444455480
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo75858080686380CAN4832,750,000$


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
1Robert BortuzzoIceHogs (CHI)D522408016680525.00%413326.75213536000029000.00%000000.6000000100
2Connor CarrickBlackhawksD5213-4004583225.00%314328.68112540000028100.00%000000.4200000000
3John HaydenIceHogs (CHI)LW/RW50331801487220.00%09719.48011437000000050.00%600000.6200000001
4Riley NashIceHogs (CHI)C/RW5033-5003178450.00%213727.430336400000310050.00%11200000.4400000000
5Justin BaileyIceHogs (CHI)RW5213-5401513133315.38%114328.732136410000350027.14%7000000.4200000001
6Robert HaggBlackhawksD5022-4808118020.00%1114428.88011640000028000.00%000000.2800000000
7Frederik GauthierIceHogs (CHI)C52021002991622.22%011923.930001370000220051.89%10600000.3300000000
8Lucas ElvenesIceHogs (CHI)LW/RW5022100256180.00%09719.58011438000000050.00%400000.4100000000
9Carsen TwarynskiIceHogs (CHI)LW510106011551220.00%16613.340000100000000.00%200000.3000000000
10Kyle CapobiancoIceHogs (CHI)D50110100743310.00%213226.55011236000028000.00%000000.1500000000
11Dylan SikuraBlackhawksC/LW/RW510102001153520.00%09919.99000080000220041.67%6000000.2000000000
12Kole LindIceHogs (CHI)RW5011040153270.00%06613.2600001000000033.33%600000.3000000000
13Tommy NovakIceHogs (CHI)C5011-280993220.00%69819.7900000000000036.36%1100000.2000000000
14Alex BroadhurstIceHogs (CHI)C5000-200032010.00%05010.0100017000080051.85%2700000.0000000000
15Anthony LouisIceHogs (CHI)C/LW5000020130100.00%1265.2200004000070050.00%200000.0000000000
16Brendan GaunceIceHogs (CHI)C/LW5000-5100858440.00%112625.390003410000210036.84%1900000.0000000000
17Julien GauthierIceHogs (CHI)RW5000-240412020.00%0459.13000000000000100.00%200000.0000000000
18Luke JohnsonIceHogs (CHI)C5000-21001151410.00%29118.300000000000000.00%000000.0000000000
19Adam RuzickaIceHogs (CHI)C/LW/RW5000-200401010.00%1459.13000000000000100.00%200000.0000000000
Stats d'équipe Total ou en Moyenne95101727-30840120125100345910.00%35186719.66510154341300002661044.76%42900000.2900000102
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
1Alex NedeljkovicIceHogs (CHI)51220.8792.2637200141160000.000050000
2Matt TomkinsIceHogs (CHI)10000.0000.001600000000.000005000
Stats d'équipe Total ou en Moyenne61220.8792.1738800141160000.000055000


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam RuzickaIceHogs (CHI)C/LW/RW211999-05-11Yes203 Lbs6 ft4NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$
Alex BroadhurstIceHogs (CHI)C271993-03-06No178 Lbs5 ft10NoNoNo2Pro & Farm725,000$450,000$0$0$No725,000$Lien
Alex NedeljkovicIceHogs (CHI)G241996-01-07No189 Lbs6 ft0NoNoNo1Pro & Farm894,167$894,167$0$0$NoLien
Alexandre CarrierIceHogs (CHI)D231996-10-08No174 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Andreas MartinsenIceHogs (CHI)LW/RW301990-06-12No220 Lbs6 ft3NoNoNo1Pro & Farm675,600$675,600$0$0$NoLien
Anthony LouisIceHogs (CHI)C/LW251995-02-10No151 Lbs5 ft7NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Brendan GaunceIceHogs (CHI)C/LW261994-03-25No217 Lbs6 ft2NoNoNo4Pro & Farm700,000$700,000$0$0$No700,000$700,000$700,000$Lien
Carsen TwarynskiIceHogs (CHI)LW221997-11-24No198 Lbs6 ft2NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Frederik GauthierIceHogs (CHI)C251995-04-26No238 Lbs6 ft5NoNoNo3Pro & Farm675,000$675,000$0$0$No675,000$675,000$Lien
Gustav ForslingIceHogs (CHI)D241996-06-12No186 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Joakim NordstromIceHogs (CHI)C/LW281992-02-25No189 Lbs6 ft1NoNoNo3Pro & Farm1,750,000$1,000,000$0$0$No1,000,000$1,000,000$Lien
John HaydenIceHogs (CHI)LW/RW251995-02-14No223 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Joseph DuszakIceHogs (CHI)D221997-07-22Yes185 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Julien GauthierIceHogs (CHI)RW221997-10-15No225 Lbs6 ft4NoNoNo2Pro & Farm1,163,333$450,000$0$0$No1,163,333$Lien
Justin BaileyIceHogs (CHI)RW241995-07-01No214 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Kole LindIceHogs (CHI)RW211998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm1,125,000$450,000$0$0$No1,125,000$Lien
Kyle CapobiancoIceHogs (CHI)D221997-08-13No178 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Lucas ElvenesIceHogs (CHI)LW/RW201999-08-18Yes172 Lbs6 ft1NoNoNo3Pro & Farm776,667$776,667$0$0$No776,667$776,667$Lien
Luke JohnsonIceHogs (CHI)C251994-09-18No198 Lbs5 ft11NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Matt TomkinsIceHogs (CHI)G261994-06-19Yes194 Lbs6 ft3NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$
Michael PaliottaIceHogs (CHI)D271993-04-05No207 Lbs6 ft4NoNoNo2Pro & Farm600,000$450,000$0$0$No600,000$Lien
Pierre-Edouard BellemareIceHogs (CHI)C351985-03-05No198 Lbs6 ft0NoNoNo3Pro & Farm2,550,000$1,800,000$0$0$No1,800,000$1,800,000$Lien
Riley NashIceHogs (CHI)C/RW311989-05-09No190 Lbs6 ft1NoNoNo2Pro & Farm2,750,000$2,750,000$0$0$No2,750,000$Lien
Robert BortuzzoIceHogs (CHI)D311989-03-18No216 Lbs6 ft4NoNoNo1Pro & Farm1,150,000$1,150,000$0$0$NoLien
Stuart SkinnerIceHogs (CHI)G211998-11-01No203 Lbs6 ft3NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Tommy NovakIceHogs (CHI)C231997-04-28Yes179 Lbs6 ft1NoNoNo3Pro & Farm823,750$817,500$0$0$No817,500$817,500$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.00196 Lbs6 ft12.121,037,828$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceRiley Nash35122
2John HaydenFrederik GauthierLucas Elvenes30122
3Carsen TwarynskiKole Lind25122
4Adam RuzickaTommy NovakJulien Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Robert BortuzzoKyle Capobianco30122
3Tommy NovakLuke Johnson25122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceRiley Nash60122
2John HaydenFrederik GauthierLucas Elvenes40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Robert BortuzzoKyle Capobianco40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Riley Nash60122
2Brendan GaunceFrederik Gauthier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Robert BortuzzoKyle Capobianco40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
2Riley Nash40122Robert BortuzzoKyle Capobianco40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Riley Nash60122
2Brendan GaunceFrederik Gauthier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Robert BortuzzoKyle Capobianco40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceRiley Nash
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceRiley Nash
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Broadhurst, , Alex Broadhurst,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Robert Bortuzzo, Kyle Capobianco, Robert BortuzzoKyle Capobianco,
Tirs de Pénalité
, Riley Nash, Brendan Gaunce, Frederik Gauthier, John Hayden
Gardien
#1 : Alex Nedeljkovic, #2 : Matt Tomkins


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
LigueDomicileVisiteur
# 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
1Moose514000001014-430300000610-42110000044020.20010172700342110023292226116358412147510.64%38392.11%06715942.14%7819041.05%478058.75%14493163548040
Total514000001014-430300000610-42110000044020.20010172700342110023292226116358412147510.64%38392.11%06715942.14%7819041.05%478058.75%14493163548040
_Since Last GM Reset514000001014-430300000610-42110000044020.20010172700342110023292226116358412147510.64%38392.11%06715942.14%7819041.05%478058.75%14493163548040
_Vs Conference514000001014-430300000610-42110000044020.20010172700342110023292226116358412147510.64%38392.11%06715942.14%7819041.05%478058.75%14493163548040

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52OTL1101727100116358412100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001014
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000610
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000044
Derniers 10 Matchs
WLOTWOTL SOWSOL
120200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
47510.64%38392.11%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
232922263421
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
6715942.14%7819041.05%478058.75%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14493163548040


Derniers Match 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
1 - 2021-03-152Moose3IceHogs1LSommaire du Match
2 - 2021-03-164Moose4IceHogs3LSommaire du Match
3 - 2021-03-176IceHogs1Moose2LXSommaire du Match
4 - 2021-03-188IceHogs3Moose2WXSommaire du Match
5 - 2021-03-1910Moose3IceHogs2LXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
-3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,698,352$ 2,176,394$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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
202082452105146226173534125802132118823641201303014108911711522639962516748162171720543566581691487406102415344957014.14%4324988.66%31367233958.44%1193215155.46%659115856.91%2122148018456121021522
Total Saison Régulière82452105146226173534125802132118823641201303014108911711522639962516748162171720543566581691487406102415344957014.14%4324988.66%31367233958.44%1193215155.46%659115856.91%2122148018456121021522
2020514000001014-430300000610-421100000440210172700342110023292226116358412147510.64%38392.11%06715942.14%7819041.05%478058.75%14493163548040
Total Séries514000001014-430300000610-421100000440210172700342110023292226116358412147510.64%38392.11%06715942.14%7819041.05%478058.75%14493163548040