PROVIDENCE Bruins
GP: 1 | W: 1 | L: 0
GF: 3 | GA: 1 | PP%: 0.00% | PK%: 100.00%
DG: JF Hotte | Morale : 99 | Moyenne d'Équipe : 66
Prochain matchs #15 vs MILWAUKEE Admirals
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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
1Nicolas Roy0X100.006945886686757364716362656365646299680235750,000$
2Josh Norris0X100.006238866579857463766264626361658399680213750,000$
3Maxim Letunov0X100.006243886382807962686159606367647299670241750,000$
4Jayce Hawryluk0XX100.007142796472777163596258606367647599660241900,000$
5Gabriel Vilardi0X100.006442906584746763756159626561638599660213750,000$
6Zach Senyshyn0X100.006142896176777262535960586265668399650232750,000$
7Carsen Twarynski0X100.006645896080757259535758615965625999650221750,000$
8Jack Studnicka0X100.005843896372797462736061596261637199650213750,000$
9Morgan Frost0X100.005541896766787064746361586961638099650213750,000$
10Joel Kiviranta (R)0X100.005842896168777160525859575967645299640243750,000$
11Jonas Siegenthaler0X100.006945766385827962306954844865646999700233950,000$
12Ben Harpur0X100.007859776099867859305856675269655899690251800,000$
13Jarred Tinordi0X100.007457795998827458305756644875716899680281750,000$
14Joakim Ryan0X100.006742856469807163307053664873674299670271750,000$
15Roland McKeown0X100.006453836276889059305853564667746999670246750,000$
16Christian Djoos0X100.005840886270797461306356575371665399650261750,000$
17Jeremy Lauzon0X100.006349796178807659305856645365627299650234850,000$
18Urho Vaakanainen0X100.006342876174797259306058655362638399650211750,000$
19Samuel Morin0X100.006935755393645253305050655850508399590252750,000$
Rayé
MOYENNE D'ÉQUIPE100.00654484627979736149605863576564699966
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
1Dan Vladar100.00767775867574767574767565696699680
Rayé
MOYENNE D'ÉQUIPE100.0076777586757476757476756569669968
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins74717171797966USA531300,000$


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
1Jarred TinordiPROVIDENCE Bruins (BOS)D1022100101000.00%02121.480000300002000.00%000001.8600000001
2Nicolas RoyPROVIDENCE Bruins (BOS)C11122202141125.00%01717.6700000000011050.00%200002.2600000100
3Jonas SiegenthalerPROVIDENCE Bruins (BOS)D1011100113110.00%02525.050002300003000.00%000000.8000000000
4Gabriel VilardiPROVIDENCE Bruins (BOS)C11012000053320.00%02323.10000030000000100.00%100000.8700000010
5Joel KivirantaPROVIDENCE Bruins (BOS)LW110100010102100.00%02020.230000300001000.00%000000.9900000000
6Josh NorrisPROVIDENCE Bruins (BOS)C1011200114040.00%02323.7300003000010067.74%3100000.8400000000
7Morgan FrostPROVIDENCE Bruins (BOS)C1011020117230.00%01818.5200003000000077.78%1800001.0800000000
8Ben HarpurPROVIDENCE Bruins (BOS)D1000100221000.00%12121.700001300003000.00%000000.0000000000
9Christian DjoosPROVIDENCE Bruins (BOS)D1000000002000.00%01313.470000000000000.00%000000.0000000000
10Joakim RyanPROVIDENCE Bruins (BOS)D1000100001100.00%12121.480000300002000.00%000000.0000000000
11Jayce HawrylukPROVIDENCE Bruins (BOS)C/RW1000020112040.00%01717.9000003000020044.44%900000.0000000000
12Roland McKeownPROVIDENCE Bruins (BOS)D1000000000000.00%01313.470000000000000.00%000000.0000000000
13Zach SenyshynPROVIDENCE Bruins (BOS)RW1000000000000.00%055.620000300000000.00%000000.0000000000
14Carsen TwarynskiPROVIDENCE Bruins (BOS)LW1000000121020.00%01717.080000000013000.00%000000.0000000000
15Maxim LetunovPROVIDENCE Bruins (BOS)C1000000101010.00%01212.8300000000000088.24%1700000.0000000000
16Jack StudnickaPROVIDENCE Bruins (BOS)C1000000000050.00%01515.98000000000000100.00%300000.0000000000
Stats d'équipe Total ou en Moyenne163691060129338269.09%228918.080003350001211072.84%8100000.6200000111
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
1Dan VladarPROVIDENCE Bruins (BOS)11000.9601.0060001250000.000010000
Stats d'équipe Total ou en Moyenne11000.9601.0060001250000.000010000


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
Ben HarpurPROVIDENCE Bruins (BOS)D251/12/1995No105 Kg198 CMNoNoNo1Pro & Farm800,000$685,714$800,000$685,714$0$0$NoLien
Carsen TwarynskiPROVIDENCE Bruins (BOS)LW2211/24/1997No90 Kg188 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Christian DjoosPROVIDENCE Bruins (BOS)D268/6/1994No82 Kg183 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Dan VladarPROVIDENCE Bruins (BOS)G238/20/1997No84 Kg196 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Gabriel VilardiPROVIDENCE Bruins (BOS)C218/16/1999No91 Kg191 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Jack StudnickaPROVIDENCE Bruins (BOS)C212/18/1999No78 Kg185 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Jarred TinordiPROVIDENCE Bruins (BOS)D282/20/1992No105 Kg198 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Jayce HawrylukPROVIDENCE Bruins (BOS)C/RW241/1/1996No89 Kg180 CMNoNoNo1Pro & Farm900,000$771,429$900,000$771,429$0$0$NoLien
Jeremy LauzonPROVIDENCE Bruins (BOS)D234/28/1997No93 Kg185 CMNoNoNo4Pro & Farm850,000$728,571$850,000$728,571$0$0$No850,000$850,000$850,000$Lien
Joakim RyanPROVIDENCE Bruins (BOS)D276/17/1993No84 Kg180 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Joel KivirantaPROVIDENCE Bruins (BOS)LW243/23/1996Yes82 Kg180 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Jonas SiegenthalerPROVIDENCE Bruins (BOS)D235/6/1997No95 Kg191 CMNoNoNo3Pro & Farm950,000$814,286$950,000$814,286$0$0$No950,000$950,000$Lien
Josh NorrisPROVIDENCE Bruins (BOS)C215/5/1999No87 Kg188 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Maxim LetunovPROVIDENCE Bruins (BOS)C242/20/1996No82 Kg193 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Morgan FrostPROVIDENCE Bruins (BOS)C215/14/1999No77 Kg180 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Nicolas RoyPROVIDENCE Bruins (BOS)C232/5/1997No91 Kg193 CMNoNoNo5Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$750,000$Lien
Roland McKeownPROVIDENCE Bruins (BOS)D241/20/1996No89 Kg185 CMNoNoNo6Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Samuel MorinPROVIDENCE Bruins (BOS)D257/12/1995No92 Kg198 CMNoNoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$Lien
Urho VaakanainenPROVIDENCE Bruins (BOS)D211/1/1999No84 Kg185 CMNoNoNo1Pro & Farm750,000$642,857$500,000$428,571$0$0$NoLien
Zach SenyshynPROVIDENCE Bruins (BOS)RW233/30/1997No87 Kg185 CMNoNoNo2Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2023.4588 Kg188 CM2.30775,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel VilardiJosh NorrisNicolas Roy40014
2Joel KivirantaMorgan FrostJack Studnicka34113
3Carsen TwarynskiMaxim LetunovJayce Hawryluk18113
4Gabriel VilardiJosh NorrisZach Senyshyn8104
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonas SiegenthalerBen Harpur34131
2Jarred TinordiJoakim Ryan32131
3Roland McKeownChristian Djoos27122
4Jonas Siegenthaler7122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel VilardiJosh NorrisJayce Hawryluk71005
2Joel KivirantaMorgan FrostJayce Hawryluk29113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonas SiegenthalerBen Harpur71122
2Jarred TinordiJoakim Ryan29122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jayce HawrylukCarsen Twarynski55122
2Josh NorrisJoel Kiviranta45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonas SiegenthalerBen Harpur70140
2Jarred TinordiJoakim Ryan30140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jayce Hawryluk51122Jonas SiegenthalerBen Harpur73140
2Josh Norris49122Jarred TinordiJoakim Ryan27230
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jack StudnickaCarsen Twarynski55122
2Morgan FrostNicolas Roy45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonas SiegenthalerBen Harpur55122
2Jarred TinordiJoakim Ryan45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Carsen TwarynskiNicolas RoyJayce HawrylukJonas SiegenthalerBen Harpur
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Carsen TwarynskiNicolas RoyJayce HawrylukJonas SiegenthalerBen Harpur
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gabriel Vilardi, Zach Senyshyn, Carsen TwarynskiGabriel Vilardi, Zach SenyshynGabriel Vilardi
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Samuel Morin, , Jonas SiegenthalerChristian DjoosJonas Siegenthaler,
Tirs de Pénalité
Nicolas Roy, Josh Norris, Maxim Letunov, Jayce Hawryluk, Gabriel Vilardi
Gardien
#1 : Dan Vladar, #2 :
Lignes d'Attaque Perso. en Prol.
Nicolas Roy, Josh Norris, Maxim Letunov, Jayce Hawryluk, Gabriel Vilardi, Zach Senyshyn, Zach Senyshyn, Carsen Twarynski, Jack Studnicka, Morgan Frost, Joel Kiviranta
Lignes de Défense Perso. en Prol.
Jonas Siegenthaler, Ben Harpur, Jarred Tinordi, Joakim Ryan, Roland McKeown


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
1MILWAUKEE Admirals11000000312110000003120000000000021.000369002010331012110252612400.00%30100.00%0324472.73%212875.00%6966.67%3022186115
Total11000000312110000003120000000000021.000369002010331012110252612400.00%30100.00%0324472.73%212875.00%6966.67%3022186115
_Since Last GM Reset11000000312110000003120000000000021.000369002010331012110252612400.00%30100.00%0324472.73%212875.00%6966.67%3022186115
_Vs Conference11000000312110000003120000000000021.000369002010331012110252612400.00%30100.00%0324472.73%212875.00%6966.67%3022186115

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
12W13693325261200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
110000031
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000031
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
400.00%30100.00%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
10121102010
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
324472.73%212875.00%6966.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
3022186115


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
2 - 2021-05-167MILWAUKEE Admirals1PROVIDENCE Bruins3WSommaire du Match
4 - 2021-05-1815MILWAUKEE Admirals-PROVIDENCE Bruins-
6 - 2021-05-2023PROVIDENCE Bruins-MILWAUKEE Admirals-
8 - 2021-05-2231PROVIDENCE Bruins-MILWAUKEE Admirals-
10 - 2021-05-2439MILWAUKEE Admirals-PROVIDENCE Bruins-
12 - 2021-05-2647PROVIDENCE Bruins-MILWAUKEE Admirals-
14 - 2021-05-2855MILWAUKEE Admirals-PROVIDENCE Bruins-



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,550,000$ 1,525,000$ 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$ 12 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