Crunch

GP: 10 | W: 5 | L: 5 | OTL: 0 | P: 10
GF: 28 | GA: 23 | PP%: 16.67% | PK%: 80.00%
DG: Stéphane Lacasse | Morale : 50 | Moyenne d'Équipe : 63
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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
1Byron FroeseX100.006238856378939161746059725875785753650
2Dmitrij JaskinX100.009036896684767264526358656271667853640
3Tyler GraovacX100.007437876291928961655960636171665953640
4Nicolas DeslauriersXX100.009645726582666164586163715975685352640
5Francis PerronX100.005237896268928960686257565965636453610
6Mario KempeX100.007938886071706759725658645979715039610
7Nathan BastianX100.007249816087836959525664585963627454610
8Matt PuempelX100.005836906278807060585961575871667753610
9Reid BoucherX100.005435936369766962696161596371665953610
10Austin CzarnikXX100.005136936163696759636558576073703753590
11Chase De LeoX100.005135945965847158636057615567645853590
12Mason Shaw (R)X100.005037875766959656635852535461636453590
13Henrik SamuelssonX100.007339835487837753595351585369657753580
14Michael Del ZottoX100.009337816775825565307361725477696653680
15Maxime LajoieX100.005438896674857164306663695763625853640
16Kevin CzuczmanX100.006739825682928954305651574575685753630
17Duncan SiemensX100.007141765385888252305451594871667754620
18Brandon CrawleyX100.006545665678898354305552594563626353610
19Joni Tuulola (R)X100.006736915583908454305451564565636253610
Rayé
1Kevin PorterX100.005838866072918759706254565782795240610
2Colin GreeningX100.006835945482928853565351565282735240590
3Spencer WatsonX100.005135935556726853565451565365636240550
4Juuso RiikolaX100.007336916372756962306558625470675340630
MOYENNE D'ÉQUIPE100.00663886607683775953595761557167615061
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 Hill100.00808179937978807978807965696748770
2Oscar Dansk100.00787775827776787776787769735153740
Rayé
1Kaden Fulcher100.00646563776362646362646361654934630
MOYENNE D'ÉQUIPE100.0074747284737274737274736569564571
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Van Ryn60706565595586CAN3951,000,000$


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'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
1Tyler GraovacCrunch (Tam)C1046104602021214919.05%521821.830335420000460066.10%17700000.9200000111
2Byron FroeseCrunch (Tam)C10279020830304376.67%424824.820557470000461065.51%28700000.7300000110
3Nathan BastianCrunch (Tam)RW1026841551891881311.11%114414.46011219000001072.73%1100001.1100001001
4Dmitrij JaskinCrunch (Tam)RW10145-21403110243194.17%019119.141235470002160055.17%2900000.5200000000
5Maxime LajoieCrunch (Tam)D10235000112176911.76%1124624.631121247000036000.00%000000.4100000101
6Reid BoucherCrunch (Tam)C1023530008234128.70%312712.7800000000070166.67%11700000.7800000010
7Joni TuulolaCrunch (Tam)D10055320334120.00%214614.640000300003000.00%000000.6800000000
8Michael Del ZottoCrunch (Tam)D10235014032141841511.11%823823.882131348000030100.00%000000.4200000011
9Austin CzarnikCrunch (Tam)C/RW1031432026196815.79%1979.7100000000010150.00%400000.8200000010
10Kevin CzuczmanCrunch (Tam)D10314212097102830.00%822322.35202641000032100.00%000000.3600000100
11Matt PuempelCrunch (Tam)LW1013426057185135.56%014414.44101325000000070.00%1000000.5500000000
12Duncan SiemensCrunch (Tam)D1012329512452920.00%821421.45101342000035000.00%000000.2800001001
13Chase De LeoCrunch (Tam)C1011212021152420.00%1656.5800000000070067.74%6200000.6100000000
14Francis PerronCrunch (Tam)LW1011220021024884.17%018318.371121047000030055.56%900000.2200000000
15Mario KempeCrunch (Tam)RW5112-1209313557.69%18917.990114240000900100.00%500000.4400000001
16Brandon CrawleyCrunch (Tam)D101123281066711114.29%512712.780000000006000.00%000000.3100101001
17Nicolas DeslauriersCrunch (Tam)LW/RW6022016013584180.00%08514.27011117000060060.00%500000.4700000000
18Mason ShawCrunch (Tam)LW101011002111369.09%1818.1400000000001033.33%300000.2500000000
19Henrik SamuelssonCrunch (Tam)LW10000-120504200.00%0373.750000200000000.00%200000.0000000000
Stats d'équipe Total ou en Moyenne18128507826132201801672797420610.04%59291316.09916257146100022905265.46%72100000.5400103457
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 HillCrunch (Tam)105500.8962.3857900232210000.0000100100
2Oscar DanskCrunch (Tam)10001.0000.001900060000.0000010000
Stats d'équipe Total ou en Moyenne115500.8992.3059900232270000.00001010100


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 Link
Adin HillCrunch (Tam)G231996-05-11No202 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Austin CzarnikCrunch (Tam)C/RW261992-12-12No170 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Brandon CrawleyCrunch (Tam)D221997-02-02No204 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Byron FroeseCrunch (Tam)C281991-03-12No202 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm400,000$0$0$NoLien
Chase De LeoCrunch (Tam)C231995-10-25No179 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Colin GreeningCrunch (Tam)C331986-03-09No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm300,000$0$0$NoLien
Dmitrij JaskinCrunch (Tam)RW261993-03-23No216 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Duncan SiemensCrunch (Tam)D251993-09-07No210 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Francis PerronCrunch (Tam)LW231996-04-18No166 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Henrik SamuelssonCrunch (Tam)LW251994-02-07No219 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Joni TuulolaCrunch (Tam)D231996-01-01Yes198 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Juuso RiikolaCrunch (Tam)D251993-11-09No189 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Kaden FulcherCrunch (Tam)G201998-09-23No182 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Kevin CzuczmanCrunch (Tam)D281991-01-09No206 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Kevin PorterCrunch (Tam)C331986-03-12No190 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm300,000$0$0$NoLien
Mario KempeCrunch (Tam)RW301988-09-19No185 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm300,000$0$0$NoLien
Mason ShawCrunch (Tam)LW201998-11-03Yes182 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Matt PuempelCrunch (Tam)LW261993-01-24No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Maxime LajoieCrunch (Tam)D211997-11-05No183 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Michael Del ZottoCrunch (Tam)D291990-06-24No201 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$NoLien
Nathan BastianCrunch (Tam)RW211997-12-06No205 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Nicolas DeslauriersCrunch (Tam)LW/RW281991-02-22No221 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm903,386$0$0$NoLien
Oscar DanskCrunch (Tam)G251994-02-28No195 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Reid BoucherCrunch (Tam)C251993-09-08No195 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Spencer WatsonCrunch (Tam)RW231996-04-25No170 Lbs5 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Tyler GraovacCrunch (Tam)C261993-04-27No208 Lbs6 ft5NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.27196 Lbs6 ft12.62457,823$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Francis PerronByron FroeseDmitrij Jaskin40122
2Matt PuempelTyler GraovacMario Kempe30122
3Mason ShawReid BoucherNathan Bastian20122
4Henrik SamuelssonChase De LeoAustin Czarnik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael Del ZottoMaxime Lajoie40122
2Kevin CzuczmanDuncan Siemens30122
3Joni TuulolaBrandon Crawley20122
4Michael Del ZottoMaxime Lajoie10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Francis PerronByron FroeseDmitrij Jaskin60122
2Matt PuempelTyler GraovacMario Kempe40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael Del ZottoMaxime Lajoie60122
2Kevin CzuczmanDuncan Siemens40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Byron FroeseTyler Graovac60122
2Dmitrij JaskinMario Kempe40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael Del ZottoMaxime Lajoie60122
2Kevin CzuczmanDuncan Siemens40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Byron Froese60122Michael Del ZottoMaxime Lajoie60122
2Tyler Graovac40122Kevin CzuczmanDuncan Siemens40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Byron FroeseTyler Graovac60122
2Dmitrij JaskinMario Kempe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michael Del ZottoMaxime Lajoie60122
2Kevin CzuczmanDuncan Siemens40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Francis PerronByron FroeseDmitrij JaskinMichael Del ZottoMaxime Lajoie
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Francis PerronByron FroeseDmitrij JaskinMichael Del ZottoMaxime Lajoie
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nathan Bastian, Reid Boucher, Chase De LeoNathan Bastian, Reid BoucherChase De Leo
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joni Tuulola, Brandon Crawley, Kevin CzuczmanJoni TuulolaBrandon Crawley, Kevin Czuczman
Tirs de Pénalité
Byron Froese, Tyler Graovac, Dmitrij Jaskin, Mario Kempe, Nathan Bastian
Gardien
#1 : Adin Hill, #2 : Oscar Dansk


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
1Bears211000006601010000024-21100000042220.50061117001198057101819705016245111327.27%9277.78%020031264.10%17627464.23%9613571.11%2792062006812064
2Gulls220000001248110000005231100000072541.0001222340011980751018197045918346233.33%8187.50%020031264.10%17627464.23%9613571.11%2792062006812064
3Moose11000000211000000000001100000021121.0002350011980261018197029917184125.00%50100.00%020031264.10%17627464.23%9613571.11%2792062006812064
4Penguins2020000025-31010000012-11010000013-200.00024600119805210181970471330311815.56%10370.00%020031264.10%17627464.23%9613571.11%2792062006812064
5Senators3120000067-1211000004311010000024-220.33361016001198069101819705612434615213.33%13376.92%020031264.10%17627464.23%9613571.11%2792062006812064
Total1055000002823552300000121115320000016124100.5002850780011980279101819702275913218054916.67%45980.00%020031264.10%17627464.23%9613571.11%2792062006812064
_Since Last GM Reset1055000002823552300000121115320000016124100.5002850780011980279101819702275913218054916.67%45980.00%020031264.10%17627464.23%9613571.11%2792062006812064
_Vs Conference1055000002823552300000121115320000016124100.5002850780011980279101819702275913218054916.67%45980.00%020031264.10%17627464.23%9613571.11%2792062006812064
_Vs Division44500000811-32230000036-32220000055081.000815230011980109101819709729548229413.79%19573.68%020031264.10%17627464.23%9613571.11%2792062006812064

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1010W12850782792275913218000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
105500002823
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001211
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
53200001612
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
54916.67%45980.00%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
1018197011980
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
20031264.10%17627464.23%9613571.11%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2792062006812064


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 - 2019-09-0316Senators1Crunch4WSommaire du Match
4 - 2019-09-0532Bears4Crunch2LSommaire du Match
5 - 2019-09-0638Crunch2Senators4LSommaire du Match
9 - 2019-09-1067Gulls2Crunch5WSommaire du Match
11 - 2019-09-1288Crunch7Gulls2WSommaire du Match
12 - 2019-09-1397Crunch2Moose1WSommaire du Match
14 - 2019-09-15108Penguins2Crunch1LSommaire du Match
15 - 2019-09-16122Crunch1Penguins3LSommaire du Match
17 - 2019-09-18138Senators2Crunch0LSommaire du Match
18 - 2019-09-19141Crunch4Bears2WSommaire 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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 119,034$ 27,930$ 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