Phantoms

GP: 5 | W: 5 | L: 0 | OTL: 0 | P: 10
GF: 40 | GA: 15 | PP%: 67.86% | PK%: 79.17%
DG: Jonathan Gratton | Morale : 53 | Moyenne d'Équipe : 68
Prochain matchs #60 vs Devils
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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 WealX100.005738866566747664786763776473685651690
2Marcus PetterssonX97.007863706379829562307554734965637555710
3Philippe MyersX100.007839836391856861306258634863625458670
4Jordan SchmaltzX100.005836915978766458306153594771667755630
Rayé
MOYENNE D'ÉQUIPE99.25684483637979766142665768526865665568
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
1Michal Neuvirth98.00726462797170727170727179856252700
Rayé
MOYENNE D'ÉQUIPE98.0072646279717072717072717985625270
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle77797176938751CAN6231,000,000$


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'ÉquipePOSGP 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
1Marcus PetterssonPhantoms (PHI)D54151976020626171415.38%613627.224711721011318200.00%048012.7900000221
2Philippe MyersPhantoms (PHI)D541418755654311169.30%413226.5948121419011419100.00%088002.7100100311
3Jordan SchmaltzPhantoms (PHI)D51101120048262193.85%111122.270444600001300100.00%1411001.9800000012
Stats d'équipe Total ou en Moyenne15939481611530199549399.47%1138025.3681927254702275130100.00%11627012.5200100544
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
1Michal NeuvirthPhantoms (PHI)55000.8893.00300201513576100.000050001
Stats d'équipe Total ou en Moyenne55000.8893.00300201513576100.000050001


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 & Farm750,000$0$0$NoLien
Jordan WealPhantoms (PHI)C251992-04-15No179 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm1,400,000$0$0$NoLien
Marcus PetterssonPhantoms (PHI)D211996-05-08No177 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Michal NeuvirthPhantoms (PHI)G291988-03-23No209 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Philippe MyersPhantoms (PHI)D201997-01-25No210 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
523.60193 Lbs6 ft21.20880,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
4Jordan Schmaltz10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus PetterssonPhilippe Myers40122
2Jordan Schmaltz30122
320122
4Marcus PetterssonPhilippe Myers10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus PetterssonPhilippe Myers60122
2Jordan Schmaltz40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus PetterssonPhilippe Myers60122
2Jordan Schmaltz40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Marcus PetterssonPhilippe Myers60122
240122Jordan Schmaltz40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus PetterssonPhilippe Myers60122
2Jordan Schmaltz40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Marcus PetterssonPhilippe Myers
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Marcus PetterssonPhilippe Myers
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marcus Pettersson, Philippe Myers, Jordan SchmaltzMarcus PetterssonPhilippe Myers, Jordan Schmaltz
Tirs de Pénalité
, , , ,
Gardien
#1 : Michal Neuvirth, #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
1Bears3300000025718110000001111022000000146861.0002544690062113098476475071133255171164.71%16381.25%05110349.51%4110041.00%5512942.64%11367101448542
2Monsters11000000963000000000001100000096321.0009182700621130444764750371222195480.00%6266.67%15110349.51%4110041.00%5512942.64%11367101448542
3Sound Tigers11000000624110000006240000000000021.000612180062113044476475027114176466.67%20100.00%05110349.51%4110041.00%5512942.64%11367101448542
Total55000000401525220000001731433000000231211101.0004074114006211301864764750135365891281967.86%24579.17%15110349.51%4110041.00%5512942.64%11367101448542
_Since Last GM Reset55000000401525220000001731433000000231211101.0004074114006211301864764750135365891281967.86%24579.17%15110349.51%4110041.00%5512942.64%11367101448542
_Vs Conference55000000401525220000001731433000000231211101.0004074114006211301864764750135365891281967.86%24579.17%15110349.51%4110041.00%5512942.64%11367101448542
_Vs Division55000000401525220000001731433000000231211101.0004074114006211301864764750135365891281967.86%24579.17%15110349.51%4110041.00%5512942.64%11367101448542

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
510W5407411418613536589100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
55000004015
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000173
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
33000002312
Derniers 10 Matchs
WLOTWOTL SOWSOL
500000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
281967.86%24579.17%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
4764750621130
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
5110349.51%4110041.00%5512942.64%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11367101448542


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 - 2019-10-058Bears1Phantoms11WSommaire du Match
4 - 2019-10-0717Phantoms10Bears3WSommaire du Match
6 - 2019-10-0932Phantoms4Bears3WSommaire du Match
7 - 2019-10-1040Sound Tigers2Phantoms6WSommaire du Match
10 - 2019-10-1349Phantoms9Monsters6WSommaire du Match
12 - 2019-10-1560Phantoms-Devils-
14 - 2019-10-1770Senateurs-Phantoms-
16 - 2019-10-1986Monsters-Phantoms-
17 - 2019-10-2092Phantoms-Sound Tigers-
20 - 2019-10-23110Penguins-Phantoms-
23 - 2019-10-26125Phantoms-Penguins-
24 - 2019-10-27135Wolves-Phantoms-
26 - 2019-10-29147Phantoms-Penguins-
29 - 2019-11-01161Devils-Phantoms-
31 - 2019-11-03172Phantoms-Monsters-
33 - 2019-11-05180Phantoms-Bruins-
34 - 2019-11-06185Phantoms-Bears-
35 - 2019-11-07192Thunderbird-Phantoms-
39 - 2019-11-11212Moose-Phantoms-
41 - 2019-11-13221Phantoms-Monsters-
44 - 2019-11-16235Stars-Phantoms-
46 - 2019-11-18248Phantoms-Penguins-
48 - 2019-11-20258Devils-Phantoms-
51 - 2019-11-23276Phantoms-Bruins-
53 - 2019-11-25284Penguins-Phantoms-
55 - 2019-11-27295Phantoms-Bears-
57 - 2019-11-29307Blacknight-Phantoms-
59 - 2019-12-01318Phantoms-Admirals-
61 - 2019-12-03328Phantoms-Devils-
63 - 2019-12-05336Penguins-Phantoms-
65 - 2019-12-07353Phantoms-Reigh-
66 - 2019-12-08360Marlies-Phantoms-
69 - 2019-12-11371Phantoms-Bears-
71 - 2019-12-13384Condors-Phantoms-
73 - 2019-12-15390Phantoms-Barracuda-
75 - 2019-12-17404Reigh-Phantoms-
77 - 2019-12-19412Phantoms-Moose-
79 - 2019-12-21423Phantoms-Senateurs-
80 - 2019-12-22430Monsters-Phantoms-
82 - 2019-12-24444Phantoms-Icedogs-
84 - 2019-12-26456Rocket-Phantoms-
87 - 2019-12-29470Phantoms-Blacknight-
88 - 2019-12-30479Marlies-Phantoms-
91 - 2020-01-02492Phantoms-Condors-
93 - 2020-01-04502Heat-Phantoms-
96 - 2020-01-07514Phantoms-Senateurs-
98 - 2020-01-09527Barracuda-Phantoms-
103 - 2020-01-14550Wolves-Phantoms-
106 - 2020-01-17564Phantoms-Heat-
107 - 2020-01-18575Admirals-Phantoms-
111 - 2020-01-22592Phantoms-Gulls-
112 - 2020-01-23599Bruins-Phantoms-
117 - 2020-01-28620Gulls-Phantoms-
119 - 2020-01-30633Phantoms-Crunch-
121 - 2020-02-01643Thunderbird-Phantoms-
123 - 2020-02-03656Phantoms-Crunch-
125 - 2020-02-05666Icedogs-Phantoms-
127 - 2020-02-07684Rocket-Phantoms-
129 - 2020-02-09688Phantoms-Devils-
131 - 2020-02-11700Phantoms-Marlies-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-13712Monsters-Phantoms-
135 - 2020-02-15723Phantoms-Stars-
138 - 2020-02-18738Devils-Phantoms-
141 - 2020-02-21748Phantoms-Marlies-
144 - 2020-02-24761Phantoms-Sound Tigers-
145 - 2020-02-25768Bears-Phantoms-
148 - 2020-02-28787Phantoms-Sound Tigers-
149 - 2020-02-29792Rampages-Phantoms-
153 - 2020-03-04808Phantoms-Wolves-
154 - 2020-03-05815Senateurs-Phantoms-
157 - 2020-03-08828Phantoms-Rampages-
158 - 2020-03-09837Bruins-Phantoms-
163 - 2020-03-14858Sound Tigers-Phantoms-
165 - 2020-03-16865Phantoms-Rocket-
168 - 2020-03-19881Sound Tigers-Phantoms-
169 - 2020-03-20888Phantoms-Rocket-
172 - 2020-03-23907Senateurs-Phantoms-
176 - 2020-03-27926Bears-Phantoms-
177 - 2020-03-28934Phantoms-Thunderbird-
181 - 2020-04-01948Crunch-Phantoms-
183 - 2020-04-03956Phantoms-Thunderbird-
189 - 2020-04-09980Crunch-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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
82,929$ 440,000$ 440,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 25,344$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 180 7,539$ 1,357,020$




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
355000000401525220000001731433000000231211104074114006211301864764750135365891281967.86%24579.17%15110349.51%4110041.00%5512942.64%11367101448542
Total Saison Régulière55000000401525220000001731433000000231211104074114006211301864764750135365891281967.86%24579.17%15110349.51%4110041.00%5512942.64%11367101448542
Séries
21156000006670-4523000002829-1633000003841-31066116182009282814371431291641410168116146452657.78%583343.10%38623536.60%7520336.95%8423136.36%2421592489516975
Total Séries1156000006670-4523000002829-1633000003841-31066116182009282814371431291641410168116146452657.78%583343.10%38623536.60%7520336.95%8423136.36%2421592489516975