Crunch

GP: 7 | W: 4 | L: 3 | OTL: 0 | P: 8
GF: 23 | GA: 16 | PP%: 20.59% | PK%: 82.86%
DG: Stéphane Lacasse | Morale : 51 | Moyenne d'Équipe : 63
Prochain matchs #122 vs Penguins
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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
4Francis PerronX100.005237896268928960686257565965636453610
5Mario KempeX100.007938886071706759725658645979715040610
6Nathan BastianX100.007249816087836959525664585963627453610
7Matt PuempelX100.005836906278807060585961575871667753610
8Reid BoucherX100.005435936369766962696161596371665953610
9Austin CzarnikXX100.005136936163696759636558576073703753590
10Chase De LeoX100.005135945965847158636057615567645853590
11Mason Shaw (R)X100.005037875766959656635852535461636453590
12Henrik SamuelssonX100.007339835487837753595351585369657753580
13Michael Del ZottoX100.009337816775825565307361725477696653680
14Maxime LajoieX100.005438896674857164306663695763625853640
15Kevin CzuczmanX100.006739825682928954305651574575685753630
16Duncan SiemensX100.007141765385888252305451594871667754620
17Brandon CrawleyX100.006545665678898354305552594563626350610
18Joni Tuulola (R)X100.006736915583908454305451564565636253610
Rayé
1Kevin PorterX100.005838866072918759706254565782795243620
2Colin GreeningX100.006835945482928853565351565282735243590
3Spencer WatsonX100.005135935556726853565451565365636243550
4Juuso RiikolaX100.007336916372756962306558625470675343630
MOYENNE D'ÉQUIPE100.00653887607684775852595660557067625161
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 Fulcher100.00646563776362646362646361654937630
MOYENNE D'ÉQUIPE100.0074747284737274737274736569564671
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)C74483401617163625.00%215622.420334280000340066.94%12400001.0200000111
2Nathan BastianCrunch (Tam)RW7167480146128118.33%110915.67011218000001083.33%600001.2800000001
3Byron FroeseCrunch (Tam)C7246120520213279.52%417625.250334290000341069.90%19600000.6800000100
4Austin CzarnikCrunch (Tam)C/RW731432016196715.79%17610.9700000000000166.67%300001.0400000010
5Dmitrij JaskinCrunch (Tam)RW7134040168183125.56%013218.891124290002150058.33%2400000.6100000000
6Kevin CzuczmanCrunch (Tam)D731431005582637.50%815722.55202427000024100.00%000000.5100000100
7Matt PuempelCrunch (Tam)LW713426053154116.67%09613.85101310000000075.00%800000.8300000000
8Reid BoucherCrunch (Tam)C722430004214119.52%19313.2900000000070168.67%8300000.8600000010
9Joni TuulolaCrunch (Tam)D7044100214120.00%110314.750000200003000.00%000000.7700000000
10Michael Del ZottoCrunch (Tam)D71341100219124118.33%516723.96112829000024000.00%000000.4800000010
11Duncan SiemensCrunch (Tam)D71234955232833.33%515021.48101228000026000.00%000000.4000001001
12Maxime LajoieCrunch (Tam)D70331001109450.00%617324.74011628000028000.00%000000.3500000001
13Chase De LeoCrunch (Tam)C71121202741425.00%1405.7600000000020072.73%4400000.9900000000
14Francis PerronCrunch (Tam)LW71124001717685.88%012518.00112629000020066.67%600000.3200000000
15Nicolas DeslauriersTampa Bay LightningLW/RW5022016013584180.00%08517.12011117000060060.00%500000.4700000000
16Mario KempeCrunch (Tam)RW2011-100513130.00%03819.170110100000500100.00%100000.5200000000
17Brandon CrawleyCrunch (Tam)D710122355261716.67%38512.150000000004000.00%000000.2400001001
18Mason ShawCrunch (Tam)LW71011002152220.00%1466.680000000000100.00%000000.4300000000
19Henrik SamuelssonCrunch (Tam)LW7000-120201100.00%0172.530000200000000.00%200000.0000000000
Stats d'équipe Total ou en Moyenne1262341643298101211142026015911.39%39203416.15713204429600022234268.53%50200000.6300002345
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)74300.8902.4139900161450000.000070100
2Oscar DanskCrunch (Tam)10001.0000.001900060000.000007000
Stats d'équipe Total ou en Moyenne84300.8942.2941900161510000.000077100


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
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
2525.16195 Lbs6 ft12.64440,000$



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
1Bears1010000024-21010000024-20000000000000.00024600986027745573019712235120.00%5260.00%014121665.28%13119168.59%729575.79%205153130468445
2Gulls220000001248110000005231100000072541.00012223400986075745573045918346233.33%8187.50%014121665.28%13119168.59%729575.79%205153130468445
3Moose11000000211000000000001100000021121.00023500986026745573029917184125.00%50100.00%014121665.28%13119168.59%729575.79%205153130468445
4Penguins1010000012-11010000012-10000000000000.000123009860277455730195121610110.00%6183.33%014121665.28%13119168.59%729575.79%205153130468445
5Senators21100000651110000004131010000024-220.5006101600986047745573039939309222.22%11281.82%014121665.28%13119168.59%729575.79%205153130468445
Total743000002316742200000129332100000117480.5712341640098602027455730151399812134720.59%35682.86%014121665.28%13119168.59%729575.79%205153130468445
_Since Last GM Reset743000002316742200000129332100000117480.5712341640098602027455730151399812134720.59%35682.86%014121665.28%13119168.59%729575.79%205153130468445
_Vs Conference743000002316742200000129332100000117480.5712341640098602027455730151399812134720.59%35682.86%014121665.28%13119168.59%729575.79%205153130468445
_Vs Division2330000036-32220000036-30110000000061.5003690098605474557303812243915213.33%11372.73%014121665.28%13119168.59%729575.79%205153130468445

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
78L1234164202151399812100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
74300002316
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4220000129
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3210000117
Derniers 10 Matchs
WLOTWOTL SOWSOL
430000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
34720.59%35682.86%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
74557309860
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
14121665.28%13119168.59%729575.79%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
205153130468445


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 - 2019-09-16122Crunch-Penguins-
17 - 2019-09-18138Senators-Crunch-
18 - 2019-09-19141Crunch-Bears-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 110,000$ 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$ 7 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