Rocket

GP: 34 | W: 7 | L: 23 | OTL: 4 | P: 18
GF: 123 | GA: 196 | PP%: 25.81% | PK%: 54.49%
DG: Eric Morin | Morale : 37 | Moyenne d'Équipe : 66
Prochain matchs #383 vs Condors
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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
1Alex TuchX100.007042847386829672706167667053528358680
2Derek GrantX100.006741827082788270835565766856534958680
3Zemgus GirgensonsX100.007942787978829271675058687164598258680
4Magnus PaajarviX100.007241827279799374564558706965587358670
5Peter CehlarikX100.006141786278697061535962606351516358660
6Sonny MilanoX100.006041828470758083585060597352518458650
7Filip ChlapikX100.006044707874639169755054625950507346630
8Nic PetanX100.005543747459669669544061616454527458620
9Ryan MurphyX100.005443757165608670305056645756538246630
Rayé
MOYENNE D'ÉQUIPE100.00644278747573877161516065665653745566
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
1Anders Nilsson100.00727796937978807777687458655658750
Rayé
MOYENNE D'ÉQUIPE100.0072779693797880777768745865565875
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien63847177856162CAN5441,000,000$


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
1Ryan MurphyRocket (MTL)D3411718-1280101712358630.81%3049614.610001200002000.00%0643000.7200000427
2Filip ChlapikRocket (MTL)C3421517360141511522721.74%83119.1700000000000062.20%291259001.0900000324
Stats d'équipe Total ou en Moyenne6833235-91402432238801351.26%3880811.8900012000020062.20%2913152000.87000007411
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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
Alex TuchRocket (MTL)RW211996-05-10No222 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Anders NilssonRocket (MTL)G271990-03-19No229 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm2,500,000$0$0$NoLien
Derek GrantRocket (MTL)C271990-04-20No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Filip ChlapikRocket (MTL)C201997-06-03No196 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$No750,000$Lien
Magnus PaajarviRocket (MTL)LW261991-04-12No206 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$NoLien
Nic PetanRocket (MTL)LW221995-03-22No179 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm874,125$0$0$NoLien
Peter CehlarikRocket (MTL)LW221995-08-02No202 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Ryan MurphyRocket (MTL)D241993-03-31No185 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Sonny MilanoRocket (MTL)LW211996-05-12No195 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm863,333$0$0$NoLien
Zemgus GirgensonsRocket (MTL)C231994-01-05No207 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,600,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1023.30204 Lbs6 ft21.101,066,246$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
3Filip Chlapik20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Ryan Murphy30122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ryan Murphy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ryan Murphy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
240122Ryan Murphy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ryan Murphy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Filip Chlapik, , Filip Chlapik
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Murphy, , Ryan Murphy,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Admirals11000000651110000006510000000000021.000691500165453032269278322231104135240.00%20100.00%022951544.47%22354341.07%34371647.91%719435767315559256
2Barracuda202000001215-31010000068-21010000067-100.0001223351016545305526927832224020322513538.46%16662.50%022951544.47%22354341.07%34371647.91%719435767315559256
3Bears1010000045-1000000000001010000045-100.00048120016545302626927832221966186233.33%3233.33%022951544.47%22354341.07%34371647.91%719435767315559256
4Blacknight1000010045-11000010045-10000000000010.500461000165453016269278322231141410200.00%7271.43%222951544.47%22354341.07%34371647.91%719435767315559256
5Bruins513001001924-511000000954403001001019-930.300193756001654530133269278322212743407415213.33%20765.00%122951544.47%22354341.07%34371647.91%719435767315559256
6Condors10100000110-90000000000010100000110-900.0001230016545301626927832223671811200.00%9633.33%022951544.47%22354341.07%34371647.91%719435767315559256
7Crunch513001002129-821000100129330300000920-1130.300214162001654530135269278322210845366718738.89%18855.56%122951544.47%22354341.07%34371647.91%719435767315559256
8Devils31200000817-921100000611-51010000026-420.333815230016545307626927832221184224381218.33%12558.33%022951544.47%22354341.07%34371647.91%719435767315559256
9Heat1010000026-41010000026-40000000000000.000246001654530292692783222301114134250.00%7357.14%022951544.47%22354341.07%34371647.91%719435767315559256
10Icedogs1010000036-3000000000001010000036-300.0003580016545301726927832223778133133.33%4250.00%022951544.47%22354341.07%34371647.91%719435767315559256
11Marlies30300000922-131010000027-520200000715-800.0009162500165453081269278322212139323014214.29%18666.67%022951544.47%22354341.07%34371647.91%719435767315559256
12Monsters1000010045-11000010045-10000000000010.500471100165453025269278322219312123133.33%6433.33%022951544.47%22354341.07%34371647.91%719435767315559256
13Phantoms11000000633000000000001100000063321.000611170016545302626927832223384822100.00%220.00%022951544.47%22354341.07%34371647.91%719435767315559256
14Reigh1010000046-2000000000001010000046-200.000481200165453021269278322232810164125.00%5180.00%022951544.47%22354341.07%34371647.91%719435767315559256
15Senateurs40400000823-1530300000617-111010000026-400.0008162400165453098269278322216970265610220.00%131023.08%022951544.47%22354341.07%34371647.91%719435767315559256
16Thunderbird21100000712-51100000042210100000310-720.50071421001654530612692783222682420218112.50%10640.00%022951544.47%22354341.07%34371647.91%719435767315559256
Total3472300400123196-731557003006180-19192160010062116-54180.265123232355101654530871269278322210413653084311243225.81%1567154.49%422951544.47%22354341.07%34371647.91%719435767315559256
18Wolves11000000532000000000001100000053221.00051015001654530242692783222228863133.33%4175.00%022951544.47%22354341.07%34371647.91%719435767315559256
_Since Last GM Reset3472300400123196-731557003006180-19192160010062116-54180.265123232355101654530871269278322210413653084311243225.81%1567154.49%422951544.47%22354341.07%34371647.91%719435767315559256
_Vs Conference255170030086140-541145002004356-1314112001004384-41130.260861652510016545306612692783222782280200324882022.73%1025050.98%222951544.47%22354341.07%34371647.91%719435767315559256
_Vs Division193140020064110-46834001003340-711010001003170-3980.211641241880016545305082692783222593221154248651421.54%793753.16%222951544.47%22354341.07%34371647.91%719435767315559256

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3418W1123232355871104136530843110
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
347230400123196
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
155703006180
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
19216010062116
Derniers 10 Matchs
WLOTWOTL SOWSOL
270100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1243225.81%1567154.49%4
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
26927832221654530
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
22951544.47%22354341.07%34371647.91%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
719435767315559256


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
3 - 2018-10-119Rocket1Bruins5LSommaire du Match
5 - 2018-10-1318Marlies7Rocket2LSommaire du Match
11 - 2018-10-1937Rocket3Thunderbird10LSommaire du Match
13 - 2018-10-2142Thunderbird2Rocket4WSommaire du Match
17 - 2018-10-2556Rocket2Senateurs6LSommaire du Match
18 - 2018-10-2662Rocket2Marlies4LSommaire du Match
20 - 2018-10-2869Bruins5Rocket9WSommaire du Match
22 - 2018-10-3079Rocket3Bruins4LXSommaire du Match
25 - 2018-11-0294Devils4Rocket5WSommaire du Match
27 - 2018-11-04104Rocket2Devils6LSommaire du Match
28 - 2018-11-05111Rocket3Crunch10LSommaire du Match
30 - 2018-11-07120Crunch6Rocket5LXSommaire du Match
33 - 2018-11-10139Rocket5Marlies11LSommaire du Match
34 - 2018-11-11144Senateurs4Rocket3LSommaire du Match
38 - 2018-11-15162Crunch3Rocket7WSommaire du Match
41 - 2018-11-18175Rocket2Crunch5LSommaire du Match
44 - 2018-11-21187Senateurs8Rocket1LSommaire du Match
50 - 2018-11-27209Barracuda8Rocket6LSommaire du Match
53 - 2018-11-30221Rocket4Reigh6LSommaire du Match
55 - 2018-12-02228Blacknight5Rocket4LXSommaire du Match
57 - 2018-12-04234Rocket5Wolves3WSommaire du Match
62 - 2018-12-09251Devils7Rocket1LSommaire du Match
65 - 2018-12-12262Rocket6Barracuda7LSommaire du Match
69 - 2018-12-16279Heat6Rocket2LSommaire du Match
71 - 2018-12-18290Rocket4Crunch5LSommaire du Match
73 - 2018-12-20297Rocket2Bruins5LSommaire du Match
75 - 2018-12-22306Admirals5Rocket6WSommaire du Match
77 - 2018-12-24318Rocket3Icedogs6LSommaire du Match
79 - 2018-12-26326Rocket4Bears5LSommaire du Match
81 - 2018-12-28332Rocket1Condors10LSommaire du Match
82 - 2018-12-29338Monsters5Rocket4LXSommaire du Match
86 - 2019-01-02355Senateurs5Rocket2LSommaire du Match
88 - 2019-01-04369Rocket4Bruins5LSommaire du Match
90 - 2019-01-06379Rocket6Phantoms3WSommaire du Match
91 - 2019-01-07383Condors-Rocket-
96 - 2019-01-12403Sound Tigers-Rocket-
99 - 2019-01-15419Rocket-Stars-
101 - 2019-01-17424Rocket-Moose-
102 - 2019-01-18429Sound Tigers-Rocket-
107 - 2019-01-23451Rocket-Penguins-
108 - 2019-01-24455Wolves-Rocket-
111 - 2019-01-27466Rocket-Gulls-
114 - 2019-01-30478Moose-Rocket-
119 - 2019-02-04500Bruins-Rocket-
125 - 2019-02-10520Icedogs-Rocket-
128 - 2019-02-13532Rocket-Thunderbird-
130 - 2019-02-15543Reigh-Rocket-
132 - 2019-02-17552Rocket-Penguins-
135 - 2019-02-20569Gulls-Rocket-
138 - 2019-02-23581Rocket-Monsters-
141 - 2019-02-26593Devils-Rocket-
144 - 2019-03-01603Rocket-Thunderbird-
146 - 2019-03-03616Crunch-Rocket-
148 - 2019-03-05627Rocket-Admirals-
151 - 2019-03-08641Marlies-Rocket-
152 - 2019-03-09650Rocket-Marlies-
155 - 2019-03-12663Rocket-Senateurs-
156 - 2019-03-13669Marlies-Rocket-
162 - 2019-03-19691Monsters-Rocket-
163 - 2019-03-20699Rocket-Heat-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24714Thunderbird-Rocket-
172 - 2019-03-29736Reigh-Rocket-
176 - 2019-04-02750Rocket-Sound Tigers-
180 - 2019-04-06758Bruins-Rocket-
183 - 2019-04-09772Rocket-Sound Tigers-
185 - 2019-04-11780Rocket-Rampages-
186 - 2019-04-12788Thunderbird-Rocket-
189 - 2019-04-15800Rocket-Bears-
192 - 2019-04-18810Rampages-Rocket-
195 - 2019-04-21825Rocket-Monsters-
198 - 2019-04-24833Stars-Rocket-
202 - 2019-04-28854Penguins-Rocket-
207 - 2019-05-03871Penguins-Rocket-
209 - 2019-05-05879Rocket-Blacknight-
213 - 2019-05-09896Phantoms-Rocket-
215 - 2019-05-11905Rocket-Devils-
218 - 2019-05-14919Phantoms-Rocket-
220 - 2019-05-16928Rocket-Phantoms-
224 - 2019-05-20944Bears-Rocket-
232 - 2019-05-28964Bears-Rocket-
233 - 2019-05-29974Rocket-Devils-
235 - 2019-05-31980Rocket-Senateurs-



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
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
784,620$ 1,066,245$ 1,066,245$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 404,910$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 147 8,718$ 1,281,546$




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
23472300400123196-731557003006180-19192160010062116-5418123232355101654530871269278322210413653084311243225.81%1567154.49%422951544.47%22354341.07%34371647.91%719435767315559256
Total Saison Régulière3472300400123196-731557003006180-19192160010062116-5418123232355101654530871269278322210413653084311243225.81%1567154.49%422951544.47%22354341.07%34371647.91%719435767315559256