Phantoms

GP: 31 | W: 15 | L: 12 | OTL: 4 | P: 34
GF: 175 | GA: 171 | PP%: 68.35% | PK%: 49.02%
DG: Jonathan Gratton | Morale : 48 | Moyenne d'Équipe : 65
Prochain matchs #357 vs Icedogs
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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
1Thomas ChabotX100.006342847974779084306061697052518356700
2Troy StecherX100.007542828064818470305351706355534356680
3Jordan SchmaltzX100.005742765375596961306358615851517857600
Rayé
1Jordan WealXXX100.005841827761818971765560756854526332670
2Philippe Myers (R)X85.226045665085557957305954605450504440600
MOYENNE D'ÉQUIPE97.00634278687271826939585767635251624865
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle67918085877046CAN6241,000,000$


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
1Thomas ChabotPhantoms (PHI)D31345387-3940334428013211312.14%4778325.292734616987000673120.00%04848132.2200000790
2Troy StecherPhantoms (PHI)D31164864-4180543320883987.69%4278325.271327403786000572100.00%02256011.6301000359
3Jordan SchmaltzPhantoms (PHI)D31173855-7115222317784699.60%2962620.2212172936470111442048.28%582249021.7500001333
4Jordan WealPhantoms (PHI)C/LW/RW11131932-72091698317113.27%1427424.963121512351013250058.84%2942213022.3301000502
5Philippe MyersPhantoms (PHI)D2342125-910023139055444.44%1442718.594141816320001330050.00%2632001.1700000003
Stats d'équipe Total ou en Moyenne12784179263-1033551411298533853959.85%146289622.8059104163170290112162484257.06%354120198181.8202001181717
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
Jordan SchmaltzPhantoms (PHI)D231993-10-08No190 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Jordan WealPhantoms (PHI)C/LW/RW251992-04-15No179 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm1,750,000$0$0$NoLien
Philippe Myers (Sur la Masse Salariale)Phantoms (PHI)D201997-01-25Yes210 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Thomas ChabotPhantoms (PHI)D201997-01-30No196 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm863,333$0$0$No863,333$Lien
Troy StecherPhantoms (PHI)D231994-04-07No190 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm2,325,000$0$0$No2,325,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
522.20193 Lbs6 ft11.401,322,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
4Jordan Schmaltz10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas ChabotTroy Stecher40122
2Jordan Schmaltz30122
320122
4Thomas ChabotTroy Stecher10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas ChabotTroy Stecher60122
2Jordan Schmaltz40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas ChabotTroy Stecher60122
2Jordan Schmaltz40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Thomas ChabotTroy Stecher60122
240122Jordan Schmaltz40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas ChabotTroy Stecher60122
2Jordan Schmaltz40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Thomas ChabotTroy Stecher
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Thomas ChabotTroy Stecher
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Thomas Chabot, Troy Stecher, Jordan SchmaltzThomas ChabotTroy Stecher, Jordan Schmaltz
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
1Admirals11000000633110000006330000000000021.000612180024826903133453146210361815214375.00%5260.00%032168846.66%20245244.69%32870446.59%746485653237470239
2Bears33000000188101100000083522000000105561.0001832500024826901113345314621076191034141285.71%5340.00%032168846.66%20245244.69%32870446.59%746485653237470239
3Condors1010000038-5000000000001010000038-500.000369002482690433345314621036168192150.00%4250.00%032168846.66%20245244.69%32870446.59%746485653237470239
4Crunch11000000862000000000001100000086221.00081523002482690353345314621033138183266.67%40100.00%032168846.66%20245244.69%32870446.59%746485653237470239
5Devils312000001622-6211000001317-41010000035-220.3331630460024826901393345314621011531374411763.64%16662.50%032168846.66%20245244.69%32870446.59%746485653237470239
6Gulls21000100151321000010067-11100000096330.750152742002482690108334531462107022142912866.67%7614.29%032168846.66%20245244.69%32870446.59%746485653237470239
7Heat11000000734110000007340000000000021.00071118002482690463345314621016722066100.00%20100.00%032168846.66%20245244.69%32870446.59%746485653237470239
8Icedogs1010000023-1000000000001010000023-100.0002460024826902033453146210419419100.00%2150.00%032168846.66%20245244.69%32870446.59%746485653237470239
9Monsters330000002281411000000633220000001651161.000224466002482690142334531462104115103815960.00%5260.00%032168846.66%20245244.69%32870446.59%746485653237470239
10Moose1010000078-1000000000001010000078-100.00071219002482690433345314621045821211100.00%110.00%032168846.66%20245244.69%32870446.59%746485653237470239
11Penguins303000001019-91010000014-320200000915-600.000101828002482690111334531462108433265314642.86%13746.15%132168846.66%20245244.69%32870446.59%746485653237470239
12Reigh11000000853110000008530000000000021.00081422002482690373345314621028106197685.71%3166.67%032168846.66%20245244.69%32870446.59%746485653237470239
13Senateurs20100001712-51000000134-11010000048-410.250712190024826909433453146210792812418225.00%6350.00%032168846.66%20245244.69%32870446.59%746485653237470239
14Sound Tigers412001002226-4211000001112-1201001001114-330.37522396100248269019233453146210173662070181372.22%10820.00%032168846.66%20245244.69%32870446.59%746485653237470239
15Stars10100000314-1110100000314-110000000000000.0003470024826903833453146210581922216350.00%11827.27%032168846.66%20245244.69%32870446.59%746485653237470239
16Thunderbird210001001165110000007161000010045-130.7501120310024826908833453146210471612359888.89%6266.67%032168846.66%20245244.69%32870446.59%746485653237470239
Total3115120030117517141484001017976317780020096951340.54817531749200248269013343345314621010103352125071399568.35%1025249.02%132168846.66%20245244.69%32870446.59%746485653237470239
18Wolves1100000010730000000000011000000107321.000101727002482690563345314621032541488100.00%20100.00%032168846.66%20245244.69%32870446.59%746485653237470239
_Since Last GM Reset3115120030117517141484001017976317780020096951340.54817531749200248269013343345314621010103352125071399568.35%1025249.02%132168846.66%20245244.69%32870446.59%746485653237470239
_Vs Conference21108002011141077953000014944512550020065632230.54811421032400248269091233453146210648221135333925964.13%653152.31%132168846.66%20245244.69%32870446.59%746485653237470239
_Vs Division1687001008883574300000393909440010049445170.5318816325100248269069533453146210489164103239724765.28%492646.94%132168846.66%20245244.69%32870446.59%746485653237470239

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3134W31753174921334101033521250700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3115120301175171
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
148401017976
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
177802009695
Derniers 10 Matchs
WLOTWOTL SOWSOL
710200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1399568.35%1025249.02%1
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
334531462102482690
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
32168846.66%20245244.69%32870446.59%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
746485653237470239


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 - 2018-10-1111Phantoms3Penguins7LSommaire du Match
5 - 2018-10-1320Penguins4Phantoms1LSommaire du Match
7 - 2018-10-1529Monsters3Phantoms6WSommaire du Match
11 - 2018-10-1936Phantoms6Bears4WSommaire du Match
16 - 2018-10-2452Phantoms7Sound Tigers8LXSommaire du Match
18 - 2018-10-2661Phantoms3Devils5LSommaire du Match
20 - 2018-10-2868Phantoms6Monsters3WSommaire du Match
21 - 2018-10-2974Senateurs4Phantoms3LXXSommaire du Match
25 - 2018-11-0295Sound Tigers7Phantoms5LSommaire du Match
28 - 2018-11-05109Phantoms4Senateurs8LSommaire du Match
29 - 2018-11-06118Bears3Phantoms8WSommaire du Match
32 - 2018-11-09134Phantoms8Crunch6WSommaire du Match
34 - 2018-11-11141Devils9Phantoms3LSommaire du Match
37 - 2018-11-14157Phantoms6Penguins8LSommaire du Match
39 - 2018-11-16165Sound Tigers5Phantoms6WSommaire du Match
41 - 2018-11-18174Phantoms4Sound Tigers6LSommaire du Match
43 - 2018-11-20182Phantoms10Wolves7WSommaire du Match
45 - 2018-11-22190Thunderbird1Phantoms7WSommaire du Match
48 - 2018-11-25199Phantoms3Condors8LSommaire du Match
51 - 2018-11-28214Stars14Phantoms3LSommaire du Match
55 - 2018-12-02229Phantoms7Moose8LSommaire du Match
58 - 2018-12-05238Gulls7Phantoms6LXSommaire du Match
61 - 2018-12-08250Phantoms4Thunderbird5LXSommaire du Match
66 - 2018-12-13264Reigh5Phantoms8WSommaire du Match
68 - 2018-12-15275Phantoms4Bears1WSommaire du Match
70 - 2018-12-17286Admirals3Phantoms6WSommaire du Match
72 - 2018-12-19292Phantoms9Gulls6WSommaire du Match
74 - 2018-12-21300Phantoms2Icedogs3LSommaire du Match
76 - 2018-12-23311Heat3Phantoms7WSommaire du Match
81 - 2018-12-28333Devils8Phantoms10WSommaire du Match
83 - 2018-12-30346Phantoms10Monsters2WSommaire du Match
86 - 2019-01-02357Icedogs-Phantoms-
88 - 2019-01-04365Phantoms-Heat-
90 - 2019-01-06379Rocket-Phantoms-
93 - 2019-01-09392Phantoms-Reigh-
96 - 2019-01-12402Phantoms-Barracuda-
97 - 2019-01-13408Thunderbird-Phantoms-
101 - 2019-01-17426Phantoms-Bears-
103 - 2019-01-19431Wolves-Phantoms-
107 - 2019-01-23452Bruins-Phantoms-
111 - 2019-01-27468Phantoms-Bruins-
113 - 2019-01-29476Marlies-Phantoms-
115 - 2019-01-31483Phantoms-Marlies-
118 - 2019-02-03496Phantoms-Wolves-
120 - 2019-02-05502Sound Tigers-Phantoms-
126 - 2019-02-11524Devils-Phantoms-
129 - 2019-02-14538Phantoms-Marlies-
131 - 2019-02-16546Penguins-Phantoms-
134 - 2019-02-19563Phantoms-Monsters-
136 - 2019-02-21574Moose-Phantoms-
141 - 2019-02-26594Monsters-Phantoms-
146 - 2019-03-03613Phantoms-Rampages-
147 - 2019-03-04618Blacknight-Phantoms-
150 - 2019-03-07637Penguins-Phantoms-
152 - 2019-03-09646Phantoms-Penguins-
154 - 2019-03-11657Phantoms-Bruins-
156 - 2019-03-13667Bruins-Phantoms-
161 - 2019-03-18686Marlies-Phantoms-
163 - 2019-03-20698Phantoms-Crunch-
165 - 2019-03-22706Phantoms-Stars-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24712Rampages-Phantoms-
168 - 2019-03-25722Phantoms-Thunderbird-
171 - 2019-03-28732Phantoms-Sound Tigers-
174 - 2019-03-31742Monsters-Phantoms-
176 - 2019-04-02749Phantoms-Admirals-
181 - 2019-04-07764Barracuda-Phantoms-
186 - 2019-04-12785Wolves-Phantoms-
191 - 2019-04-17804Phantoms-Blacknight-
192 - 2019-04-18812Crunch-Phantoms-
197 - 2019-04-23830Crunch-Phantoms-
200 - 2019-04-26839Phantoms-Devils-
202 - 2019-04-28853Senateurs-Phantoms-
205 - 2019-05-01861Phantoms-Devils-
209 - 2019-05-05877Senateurs-Phantoms-
211 - 2019-05-07887Phantoms-Senateurs-
213 - 2019-05-09896Phantoms-Rocket-
216 - 2019-05-12907Condors-Phantoms-
218 - 2019-05-14919Phantoms-Rocket-
220 - 2019-05-16928Rocket-Phantoms-
226 - 2019-05-22950Phantoms-Senateurs-
229 - 2019-05-25958Bears-Phantoms-
236 - 2019-06-01984Bears-Phantoms-



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
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
580,493$ 586,333$ 586,333$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 226,038$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 6,693$ 1,024,029$




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
231151200301175171414840010179763177800200969513417531749200248269013343345314621010103352125071399568.35%1025249.02%132168846.66%20245244.69%32870446.59%746485653237470239
Total Saison Régulière31151200301175171414840010179763177800200969513417531749200248269013343345314621010103352125071399568.35%1025249.02%132168846.66%20245244.69%32870446.59%746485653237470239