Syracuse Crunch

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 5 | GA: 15 | PP%: 12.50% | PK%: 81.58%
DG: Stéphane Lacasse | Morale : 75 | Moyenne d'Équipe : N/A
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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 SP
1Adrian KempeXX100.0069508876756166726563586550505017600
2Chase De LeoX100.0064626162627268587354586155505017200
3Francis Perron (R)X100.0064626760627567545056506050505017900
4Michael ZalewskiX100.0058766969767464525052506350505017900
5Tyler BertuzziXX100.0060657769656966645065606257505017900
6Matt PuempelXX100.0060506672755463615058685850545415200
7Kevin PorterX100.0068696872696974648065566853646411900
8Borna RendulicX100.0058757272757167545050576454505017900
9Tyler GraovacX100.0076506275785565516954645250505017900
10Henrik SamuelssonX100.0058797762795260505850506250505017500
11Sam HenleyXX100.0059806866807567506050506350505017700
12Ashton SautnerX100.0058716564715966502550506050505017800
13Ryan GravesX100.0068836964777578522556506550505018000
14Kevin CzuczmanX100.0062766965766978532555506450505018000
15Duncan SiemensX100.0056775665776669502550505950505017900
16Nathan PaetschX100.0061727062727578502552506650616218000
17Lukas Bengtsson (R)X100.0055636764635654512556505950505017800
18Nate GueninX100.0067777068776474502550506750636418000
19Mat BodieX100.0054656160656971592560586050505017900
20Nick EbertX100.0059736462736467532553566250505017900
Rayé
MOYENNE D'ÉQUIPE100.006269686672666855445554625152521740
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
1Adin Hill (R)100.006068638065656367636331606215700
2Jamie Phillips (R)100.006069666466656367636331606217900
Rayé
MOYENNE D'ÉQUIPE100.00606965726665636763633160621680
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Spott78707469636470CAN4711$


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 GP 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
1Matt PuempelSyracuse Crunch (Tam)LW/RW512326065100910.00%09819.760111110000140025.00%400000.6100000000
2Chase De LeoSyracuse Crunch (Tam)C511216071387412.50%09519.02101213000070059.41%10100000.4200000001
3Nathan PaetschSyracuse Crunch (Tam)D5022060734020.00%410721.58011113000027000.00%000000.3700000000
4Sam HenleySyracuse Crunch (Tam)LW/RW51121007590511.11%08717.45000213000001050.00%200000.4600000010
5Francis PerronSyracuse Crunch (Tam)LW5101-1203221050.00%1336.75000040000110028.57%700000.5900000000
6Michael ZalewskiSyracuse Crunch (Tam)LW5011-320324110.00%05110.39011000000000100.00%200000.3800000000
7Tyler BertuzziSyracuse Crunch (Tam)LW/RW5011-140145440.00%05210.47011090000130040.00%2500000.3800000000
8Kevin PorterSyracuse Crunch (Tam)C5101-21001711921011.11%211623.38101190000270054.74%9500000.1700000000
9Borna RendulicSyracuse Crunch (Tam)LW5011-255302240.00%36012.0800001000000025.00%400000.3300001000
10Tyler GraovacSyracuse Crunch (Tam)C5011-21001253230.00%17314.72000000000130047.54%6100000.2700000000
11Adrian KempeSyracuse Crunch (Tam)LW/RW5000-4601910470.00%211022.03000070001270064.29%1400000.0000000000
12Ashton SautnerSyracuse Crunch (Tam)D50001100302000.00%4377.450000100001000.00%000000.0000000000
13Ryan GravesSyracuse Crunch (Tam)D5000-5401212010.00%39919.9700029000027000.00%000000.0000000000
14Kevin CzuczmanSyracuse Crunch (Tam)D5000-500731000.00%510020.1800008000028000.00%000000.0000000000
15Duncan SiemensSyracuse Crunch (Tam)D5000100500000.00%3357.060000100000000.00%000000.0000000000
16Lukas BengtssonSyracuse Crunch (Tam)D5000100100000.00%040.800000100000000.00%000000.0000000000
17Nate GueninSyracuse Crunch (Tam)D50000601634100.00%510621.31000213000025000.00%000000.0000000000
18Henrik SamuelssonSyracuse Crunch (Tam)C5000-300281000.00%05210.5200000000020067.31%5200000.0000000000
19Mat BodieSyracuse Crunch (Tam)D5000-1100452000.00%06112.3600000000010000.00%000000.0000000000
20Nick EbertSyracuse Crunch (Tam)D5000-2201313000.00%25310.620000000002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne10051015-24895130808124506.17%35143914.392461112100012411055.04%36700000.2100001011
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
1Adin HillSyracuse Crunch (Tam)51310.8972.9930101151450000.000050100
Stats d'équipe Total ou en Moyenne51310.8972.9930101151450000.000050100


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adin HillSyracuse Crunch (Tam)G201996-05-11Yes198 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Adrian KempeSyracuse Crunch (Tam)LW/RW201996-09-13No203 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Ashton SautnerSyracuse Crunch (Tam)D221994-05-27No194 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Borna RendulicSyracuse Crunch (Tam)LW241992-03-24No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Chase De LeoSyracuse Crunch (Tam)C211995-10-24No178 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Duncan SiemensSyracuse Crunch (Tam)D231993-09-06No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No900,000$
Francis PerronSyracuse Crunch (Tam)LW201996-04-17Yes166 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Henrik SamuelssonSyracuse Crunch (Tam)C221994-02-06No210 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No900,000$
Jamie PhillipsSyracuse Crunch (Tam)G231993-03-24Yes170 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Kevin CzuczmanSyracuse Crunch (Tam)D261991-01-08No209 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Kevin PorterSyracuse Crunch (Tam)C301986-03-12No194 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Lukas BengtssonSyracuse Crunch (Tam)D221994-04-13Yes172 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Mat BodieSyracuse Crunch (Tam)D261990-03-06No175 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Matt PuempelSyracuse Crunch (Tam)LW/RW231993-01-24No205 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Michael ZalewskiSyracuse Crunch (Tam)LW241992-08-18No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Nate GueninSyracuse Crunch (Tam)D341982-12-10No207 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm450,000$0$0$No450,000$450,000$
Nathan PaetschSyracuse Crunch (Tam)D331983-03-29No195 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm400,000$0$0$No
Nick EbertSyracuse Crunch (Tam)D221994-05-10No203 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
Ryan GravesSyracuse Crunch (Tam)D211995-05-20No220 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm865,000$0$0$No865,000$
Sam HenleySyracuse Crunch (Tam)LW/RW231993-07-25No210 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Tyler BertuzziSyracuse Crunch (Tam)LW/RW211995-02-23No178 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Tyler GraovacSyracuse Crunch (Tam)C231993-04-26No200 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2223.77195 Lbs6 ft22.45455,227$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adrian KempeKevin PorterTyler Bertuzzi40122
2Matt PuempelChase De LeoSam Henley30122
3Borna RendulicTyler GraovacKevin Porter20122
4Michael ZalewskiHenrik SamuelssonAdrian Kempe10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate GueninNathan Paetsch40122
2Ryan GravesKevin Czuczman30122
3Mat BodieNick Ebert20122
4Ashton SautnerDuncan Siemens10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adrian KempeKevin PorterTyler Bertuzzi60122
2Matt PuempelChase De LeoSam Henley40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate GueninNathan Paetsch60122
2Ryan GravesKevin Czuczman40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kevin PorterAdrian Kempe60122
2Tyler BertuzziMatt Puempel40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate GueninNathan Paetsch60122
2Ryan GravesKevin Czuczman40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Kevin Porter60122Nate GueninNathan Paetsch60122
2Adrian Kempe40122Ryan GravesKevin Czuczman40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kevin PorterAdrian Kempe60122
2Tyler BertuzziMatt Puempel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate GueninNathan Paetsch60122
2Ryan GravesKevin Czuczman40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Adrian KempeKevin PorterTyler BertuzziNate GueninNathan Paetsch
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Adrian KempeKevin PorterTyler BertuzziNate GueninNathan Paetsch
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Francis Perron, Borna Rendulic, Tyler GraovacFrancis Perron, Borna RendulicTyler Graovac
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lukas Bengtsson, Mat Bodie, Nick EbertLukas BengtssonMat Bodie, Nick Ebert
Tirs de Pénalité
Kevin Porter, Adrian Kempe, Tyler Bertuzzi, Matt Puempel, Chase De Leo
Gardien
#1 : Adin Hill, #2 : Jamie Phillips


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
Total51400000515-102110000055030300000010-1020.20051015011130812626281145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
2Wilkes-Barre Penguins51400000515-102110000055030300000010-1020.20051015011130812626281145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
_Since Last GM Reset51400000515-102110000055030300000010-1020.20051015011130812626281145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
_Vs Conference51400000515-102110000055030300000010-1020.20051015011130812626281145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
_Vs Division51400000515-102110000055030300000010-1020.20051015011130812626281145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L15101581145358913001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5140000515
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000055
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000010
Derniers 10 Matchs
WLOTWOTL SOWSOL
130100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
16212.50%38781.58%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
26262811130
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
7513256.82%9217054.12%356553.85%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10063138376329


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 - 2018-04-071Syracuse Crunch0Wilkes-Barre Penguins3LSommaire du Match
3 - 2018-04-099Syracuse Crunch0Wilkes-Barre Penguins4LSommaire du Match
5 - 2018-04-1117Wilkes-Barre Penguins5Syracuse Crunch4LXSommaire du Match
7 - 2018-04-1325Wilkes-Barre Penguins0Syracuse Crunch1WSommaire du Match
9 - 2018-04-1533Syracuse Crunch0Wilkes-Barre Penguins3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité 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$ 100,150$ 109,118$ 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$ 2 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
1251400000515-102110000055030300000010-10251015011130812626281145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
Total Séries51400000515-102110000055030300000010-10251015011130812626281145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329