Phantoms

GP: 65 | W: 33 | L: 26 | OTL: 6 | P: 72
GF: 396 | GA: 372 | PP%: 70.61% | PK%: 44.72%
DG: Jonathan Gratton | Morale : 49 | Moyenne d'Équipe : 64
Prochain matchs #764 vs Barracuda
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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
1Jordan WealXXX100.005841827761818971765560756854526320670
2Troy StecherX100.007542828064818470305351706355534365690
3Jordan SchmaltzX100.005742765375596961306358615851517866600
4Philippe Myers (R)X100.006045665085557957305954605450504436590
Rayé
MOYENNE D'ÉQUIPE100.00634377657169806542585667615352574764
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
1Troy StecherPhantoms (PHI)D6538125163-69200123614782082307.95%106164525.3232751078616903312163520.00%059115021.980100081615
2Thomas ChabotFlyersD475380133-5840556744521318311.91%73119325.3944539711313102214115120.00%07069162.230000012131
3Jordan SchmaltzPhantoms (PHI)D654186127-12395455438519615210.65%76141521.7732376974111044131095044.55%10148104031.79000017710
4Jordan WealPhantoms (PHI)C/LW/RW22304070-511518401997215515.08%1956125.5310243425601124521059.23%6505226042.4901100844
5Philippe MyersPhantoms (PHI)D42223860126035322501241078.80%3185120.2717193637640004690160.00%52149031.4100000236
Stats d'équipe Total ou en Moyenne241184369553-14310010276254175781382710.47%305566723.52135208343335536110114750912557.28%7562503631181.9502101374336
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 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 MyersPhantoms (PHI)D201997-01-25Yes210 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Troy StecherPhantoms (PHI)D231994-04-07No190 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm2,325,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
422.75192 Lbs6 ft11.251,437,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan Weal40122
230122
320122
4Philippe MyersJordan Weal10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy StecherJordan Schmaltz40122
2Philippe Myers30122
320122
4Troy StecherJordan Schmaltz10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan Weal60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy StecherJordan Schmaltz60122
2Philippe Myers40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jordan Weal60122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy StecherJordan Schmaltz60122
2Philippe Myers40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jordan Weal60122Troy StecherJordan Schmaltz60122
240122Philippe Myers40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jordan Weal60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy StecherJordan Schmaltz60122
2Philippe Myers40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan WealTroy StecherJordan Schmaltz
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan WealTroy StecherJordan Schmaltz
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Weal, , Jordan Weal,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Troy Stecher, Jordan Schmaltz, Philippe MyersTroy StecherJordan Schmaltz, Philippe Myers
Tirs de Pénalité
Jordan Weal, , , ,
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
1Admirals220000001385110000006331100000075241.00013263900541771633676921037106117712423336583.33%9544.44%0659145745.23%447102543.61%696150246.34%152797513795131012514
2Barracuda10000010871000000000001000001087121.00081119005417716335469210371061172568147571.43%440.00%0659145745.23%447102543.61%696150246.34%152797513795131012514
3Bears440000002512131100000083533000000179881.000254671005417716331376921037106117111301643191684.21%8362.50%0659145745.23%447102543.61%696150246.34%152797513795131012514
4Blacknight11000000853110000008530000000000021.000813210054177163345692103710611714181144100.00%4325.00%0659145745.23%447102543.61%696150246.34%152797513795131012514
5Bruins44000000321517220000001771022000000158781.00032599100541771633160692103710611797163461161487.50%17758.82%2659145745.23%447102543.61%696150246.34%152797513795131012514
6Condors1010000038-5000000000001010000038-500.0003690054177163343692103710611736168192150.00%4250.00%0659145745.23%447102543.61%696150246.34%152797513795131012514
7Crunch211000001615100000000000211000001615120.50016294500541771633836921037106117763318309555.56%9455.56%0659145745.23%447102543.61%696150246.34%152797513795131012514
8Devils422000002427-3321000002122-11010000035-240.500244367005417716331896921037106117155404362171164.71%19952.63%0659145745.23%447102543.61%696150246.34%152797513795131012514
9Gulls21000100151321000010067-11100000096330.7501527420054177163310869210371061177022142912866.67%7614.29%0659145745.23%447102543.61%696150246.34%152797513795131012514
10Heat220000001367110000007341100000063341.00013233600541771633936921037106117351523511872.73%20100.00%0659145745.23%447102543.61%696150246.34%152797513795131012514
11Icedogs211000001091110000008621010000023-120.5001016260054177163357692103710611772178337571.43%4250.00%1659145745.23%447102543.61%696150246.34%152797513795131012514
12Marlies404000001427-1320200000915-620200000512-700.00014233700541771633194692103710611713741738517635.29%271544.44%1659145745.23%447102543.61%696150246.34%152797513795131012514
13Monsters642000004331123210000020173321000002314980.6674382125005417716332856921037106117134433885322165.63%191142.11%0659145745.23%447102543.61%696150246.34%152797513795131012514
14Moose2110000014140110000007611010000078-120.5001424380054177163381692103710611710029102544100.00%5420.00%0659145745.23%447102543.61%696150246.34%152797513795131012514
15Penguins615000003340-73120000018171303000001523-820.167336093005417716332356921037106117204765892281760.71%291741.38%2659145745.23%447102543.61%696150246.34%152797513795131012514
16Rampages20200000915-61010000056-11010000049-500.0009162500541771633886921037106117803024358562.50%12741.67%1659145745.23%447102543.61%696150246.34%152797513795131012514
17Reigh220000001385110000008531100000053241.00013243700541771633716921037106117572363111981.82%3166.67%0659145745.23%447102543.61%696150246.34%152797513795131012514
18Rocket1010000036-31010000036-30000000000000.00036900541771633336921037106117261541722100.00%220.00%0659145745.23%447102543.61%696150246.34%152797513795131012514
19Senateurs20100001712-51000000134-11010000048-410.2507121900541771633946921037106117792812418225.00%6350.00%0659145745.23%447102543.61%696150246.34%152797513795131012514
20Sound Tigers623001003739-2312000001421-7311001002318550.41737641010054177163327669210371061172581014296302376.67%211528.57%0659145745.23%447102543.61%696150246.34%152797513795131012514
21Stars20200000820-1210100000314-111010000056-100.000814220054177163376692103710611711140283611763.64%141028.57%0659145745.23%447102543.61%696150246.34%152797513795131012514
22Thunderbird4200020024141021000100138521000100116560.750244468005417716331816921037106117100352470181688.89%12375.00%1659145745.23%447102543.61%696150246.34%152797513795131012514
Total653126015113963722431161101201192182103415150031020419014720.554396712110800541771633280169210371061172137704519104429620970.61%24613644.72%9659145745.23%447102543.61%696150246.34%152797513795131012514
24Wolves310011002421310001000871210001001614250.83324446800541771633151692103710611789231861171588.24%9366.67%1659145745.23%447102543.61%696150246.34%152797513795131012514
_Since Last GM Reset653126015113963722431161101201192182103415150031020419014720.554396712110800541771633280169210371061172137704519104429620970.61%24613644.72%9659145745.23%447102543.61%696150246.34%152797513795131012514
_Vs Conference4320190030125823820211090010112612062210100020013211814440.5122584687260054177163318676921037106117137745836268219613367.86%1698947.34%6659145745.23%447102543.61%696150246.34%152797513795131012514
_Vs Division261312001001621491313760000081801136600100816912270.51916229545700541771633112269210371061178622901973781268869.84%965542.71%2659145745.23%447102543.61%696150246.34%152797513795131012514

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6572W1396712110828012137704519104400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6531261511396372
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3116111201192182
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3415150310204190
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
29620970.61%24613644.72%9
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
6921037106117541771633
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
659145745.23%447102543.61%696150246.34%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
152797513795131012514


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 - 2019-01-02357Icedogs6Phantoms8WSommaire du Match
88 - 2019-01-04365Phantoms6Heat3WSommaire du Match
90 - 2019-01-06379Rocket6Phantoms3LSommaire du Match
93 - 2019-01-09392Phantoms5Reigh3WSommaire du Match
96 - 2019-01-12402Phantoms8Barracuda7WXXSommaire du Match
97 - 2019-01-13408Thunderbird7Phantoms6LXSommaire du Match
101 - 2019-01-17426Phantoms7Bears4WSommaire du Match
103 - 2019-01-19431Wolves7Phantoms8WXSommaire du Match
107 - 2019-01-23452Bruins5Phantoms8WSommaire du Match
111 - 2019-01-27468Phantoms7Bruins5WSommaire du Match
113 - 2019-01-29476Marlies8Phantoms6LSommaire du Match
115 - 2019-01-31483Phantoms3Marlies4LSommaire du Match
118 - 2019-02-03496Phantoms6Wolves7LXSommaire du Match
120 - 2019-02-05502Sound Tigers9Phantoms3LSommaire du Match
126 - 2019-02-11524Devils5Phantoms8WSommaire du Match
129 - 2019-02-14538Phantoms2Marlies8LSommaire du Match
131 - 2019-02-16546Penguins3Phantoms10WSommaire du Match
134 - 2019-02-19563Phantoms7Monsters9LSommaire du Match
136 - 2019-02-21574Moose6Phantoms7WSommaire du Match
141 - 2019-02-26594Monsters5Phantoms8WSommaire du Match
146 - 2019-03-03613Phantoms4Rampages9LSommaire du Match
147 - 2019-03-04618Blacknight5Phantoms8WSommaire du Match
150 - 2019-03-07637Penguins10Phantoms7LSommaire du Match
152 - 2019-03-09646Phantoms6Penguins8LSommaire du Match
154 - 2019-03-11657Phantoms8Bruins3WSommaire du Match
156 - 2019-03-13667Bruins2Phantoms9WSommaire du Match
161 - 2019-03-18686Marlies7Phantoms3LSommaire du Match
163 - 2019-03-20698Phantoms8Crunch9LSommaire du Match
165 - 2019-03-22706Phantoms5Stars6LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24712Rampages6Phantoms5LSommaire du Match
168 - 2019-03-25722Phantoms7Thunderbird1WSommaire du Match
171 - 2019-03-28732Phantoms12Sound Tigers4WSommaire du Match
174 - 2019-03-31742Monsters9Phantoms6LSommaire du Match
176 - 2019-04-02749Phantoms7Admirals5WSommaire du Match
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
10 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,230,183$ 575,000$ 575,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 470,620$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 6,646$ 378,822$




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
265312601511396372243116110120119218210341515003102041901472396712110800541771633280169210371061172137704519104429620970.61%24613644.72%9659145745.23%447102543.61%696150246.34%152797513795131012514
Total Saison Régulière65312601511396372243116110120119218210341515003102041901472396712110800541771633280169210371061172137704519104429620970.61%24613644.72%9659145745.23%447102543.61%696150246.34%152797513795131012514