Phantoms

DG: Vladimir Krob Morale : 52 Moyenne d'Équipe : 53
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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
1Shane HarperXX98.00756975625368666074393558504444053550
2Zach O'BrienXX100.00746975685366645667353360504444053540
3Curtis Hamilton (R)X100.00697868585766595579353259605259043540
4Tim Bozon (R)X100.00837278625550595364273159504444050520
5Adam PayerlXX100.00588058645965635774323556504444052520
6Colin CampbellXX100.00607562655764635465283356504444057510
7Harry Zolnierczyk (A)X100.00576859665261615564293554505050053510
8Ross MauermannXX100.00616570635156615665323158504444053510
9Andrew YoganX100.00617663605858615668323258504444053510
10Anthony Camara (R)X100.00547056635363625667323051504444053500
11Caleb Herbert (R)XXX100.00676772645249595259272757504444049490
12Daniel CiampiniXX100.00676772635148575256253257504444053490
13Troy BourkeXX100.00556259674965635459292951504444053490
14Jordan Schmaltz (R)X100.00617268705962666725383162505050053560
15Oliver LauridsenX100.00647759586459685350313460565661051540
16Erik BurgdoerferX100.00597966586368705925303159504747053530
17Taylor DohertyX100.00609161626555575925342860504747043520
18Jonathan Racine (R)X100.00567263685968705425262755504545053520
19James MelindyX100.00583572617545404530293153474347050480
Rayé
MOYENNE D'ÉQUIPE99.8963716663576062555531315751464705152
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
1Josh Robinson100.0062656567707668706768555555053650
Rayé
1Linus Ullmark (R)96.0073788581798075727471466160079720
MOYENNE D'ÉQUIPE98.006872757475787271717051585806669
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan59524249434448CAN455100,000$


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'Équipe# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Jordan SchmaltzPhantomsPhantoms (PHI)D44610900220101120.00%727.:.411010009000.00%0412011.8100
2Andrew YoganPhantomsPhantoms (PHI)RW45385401272971.43%125.:.3322400080047.14%7012011.5712
3Zach O'BrienPhantomsPhantoms (PHI)C/RW44262007851450.00%417.:.3612300000053.06%49152001.7000
4Erik BurgdoerferPhantomsPhantoms (PHI)D4145320921450.00%724.:.2701100010000.00%027001.0200
5Adam PayerlPhantomsPhantoms (PHI)C/RW404433420126780.00%219.:.0100000050060.00%15160001.0500
6Oliver LauridsenPhantomsPhantoms (PHI)D413441010682112.50%1228.:.531010008100.00%0612000.6901
7Tim BozonPhantomsPhantoms (PHI)LW40333751014280.00%118.:.0901100040066.67%383000.8301
8Harry ZolnierczykPhantomsPhantoms (PHI)LW42131406931022.22%125.:.08101000101028.57%7133000.6012
9Jonathan RacinePhantomsPhantoms (PHI)D402210035130.00%624.:.0600000011000.00%007000.4100
10Shane HarperPhantomsPhantoms (PHI)LW/RW402252078690.00%226.:.3401100020065.57%61115000.3801
11Caleb HerbertPhantomsPhantoms (PHI)C/LW/RW4101500330333.33%012.:.0800000020045.45%1101000.4100
12Colin CampbellPhantomsPhantoms (PHI)LW/RW40112101011020.00%005.:.110000000000.00%010000.9600
13Troy BourkePhantomsPhantoms (PHI)C/LW4101000251320.00%009.:.5200000000142.86%740000.5100
14Anthony CamaraPhantomsPhantoms (PHI)LW400010001000.00%002.:.300000003000.00%001000.0000
15Daniel CiampiniPhantomsPhantoms (PHI)LW/RW400000000000.00%000.:.270000000000.00%000000.0000
16James MelindyPhantomsPhantoms (PHI)D400000011000.00%003.:.160000000000.00%010000.0000
17Ross MauermannPhantomsPhantoms (PHI)C/LW400000010000.00%000.:.20000000000100.00%200000.0000
18Taylor DohertyPhantomsPhantoms (PHI)D40001693523410.00%714.:.200000000000.00%016000.0000
19Curtis HamiltonPhantomsPhantoms (PHI)LW50001037251011410.00%116.:.1600000010060.00%561000.0001
Stats d'équipe Total ou en Moyenne771931505517910594101112488716.96%51122215.8867139690003782154.35%2308962020.82283711223
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
1Linus UllmarkPhantomsPhantoms (PHI)430195.1%1.68250007144931077.8%940110
Stats d'équipe Total ou en Moyenne43010.9511.6825000714493100.778940110


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 POS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire 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
Adam PayerlC/RW2504.03.1991No218 Lbs6 ft3NoNo1Pro & Farm700,000$0$Lien
Andrew YoganRW2404.12.1991 15:06:34No204 Lbs6 ft3NoNo7Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Anthony CamaraLW2304.09.1993Yes192 Lbs6 ft0NoNo8Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Caleb HerbertC/LW/RW2512.10.1991Yes185 Lbs5 ft11NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Colin CampbellLW/RW2516.04.1991No207 Lbs6 ft1NoNo1Pro & Farm700,000$0$Lien
Curtis HamiltonLW2404.12.1991 3:18:03Yes208 Lbs6 ft2NoNo6Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$
Daniel CiampiniLW/RW2525.11.1990No185 Lbs5 ft11NoNo1Pro & Farm700,000$0$Lien
Erik BurgdoerferD2711.12.1988No216 Lbs6 ft2NoNo1Pro & Farm1,100,000$0$Lien
Harry ZolnierczykLW2901.09.1987No185 Lbs6 ft0NoNo1Pro & Farm600,000$0$Lien
James MelindyD2211.12.1993No190 Lbs6 ft2NoNo1Pro & Farm600,000$0$Lien
Jonathan RacineD2328.05.1993 15:08:43Yes194 Lbs6 ft2NoNo7Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Jordan SchmaltzD2308.10.1993 14:40:00Yes190 Lbs6 ft2NoNo9Pro & Farm100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Josh RobinsonG2601.12.1989No185 Lbs6 ft0NoNo1Pro & Farm600,000$0$Lien
Linus UllmarkG2331.07.1993 14:02:54Yes220 Lbs6 ft3NoYes2Pro & Farm1,100,000$0$1,100,000$Lien
Oliver LauridsenD2724.03.1989 1:46:47No220 Lbs6 ft6NoNo1Pro & Farm800,000$0$
Ross MauermannC/LW2619.10.1990No185 Lbs5 ft9NoNo1Pro & Farm700,000$0$Lien
Shane HarperLW/RW2701.02.1989No193 Lbs5 ft11NoNo5Farm Only100,000$0$100,000$100,000$100,000$100,000$Lien
Taylor DohertyD2502.03.1991 14:45:26No236 Lbs6 ft8NoNo1Pro & Farm600,000$0$Lien
Tim BozonLW2224.03.1994 14:42:47Yes196 Lbs6 ft1NoNo9Pro & Farm100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Troy BourkeC/LW2230.03.1994No170 Lbs5 ft10NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Zach O'BrienC/RW2429.06.1992No192 Lbs5 ft11NoNo1Pro & Farm600,000$0$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2124.62199 Lbs6 ft13.952380952381461,905$



Attaque à 5 contre 5
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Shane HarperHarry ZolnierczykCurtis Hamilton40122
2Zach O'BrienAdam PayerlAndrew Yogan30122
3Andrew YoganTim BozonShane Harper20122
4Andrew YoganTroy BourkeShane Harper10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Oliver LauridsenJordan Schmaltz45122
2Erik BurgdoerferTaylor Doherty25122
3Oliver LauridsenJonathan Racine17122
4Oliver LauridsenJonathan Racine13122
Attaque en Avantage Numérique
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Andrew YoganTim BozonZach O'Brien60122
2Troy BourkeHarry ZolnierczykShane Harper40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Oliver LauridsenJonathan Racine60122
2Erik BurgdoerferTaylor Doherty40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andrew YoganHarry Zolnierczyk60122
2Shane HarperAnthony Camara40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Oliver LauridsenJordan Schmaltz60122
2Jonathan RacineErik Burgdoerfer40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Shane Harper60122Jonathan RacineOliver Lauridsen60122
2Andrew Yogan40122Jordan SchmaltzTaylor Doherty40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Shane HarperTim Bozon60122
2Andrew YoganHarry Zolnierczyk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzOliver Lauridsen60122
2Jonathan RacineErik Burgdoerfer40122
Attaque Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Shane HarperHarry ZolnierczykZach O'BrienJordan SchmaltzOliver Lauridsen
Défense Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Andrew YoganTim BozonShane HarperJordan SchmaltzErik Burgdoerfer
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andrew Yogan, Harry Zolnierczyk, Shane HarperTroy Bourke, Harry ZolnierczykAndrew Yogan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jonathan Racine, Oliver Lauridsen, Jordan SchmaltzOliver LauridsenJonathan Racine, Oliver Lauridsen
Tirs de Pénalité
Andrew Yogan, Harry Zolnierczyk, Shane Harper, Curtis Hamilton, Tim Bozon
Gardien
#1 : , #2 : Josh Robinson


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
# VS Équipe 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 GF% SH% SV% PDO PDOBRK
1PhantomsSound Tigers1000001021121.0002130085623334353317321424213133.33%2150.00%0396956.52%479450.00%376457.81%8148101356633
2PhantomsIceCaps11000000104621.0001016260085622434353317481983173266.67%4175.00%0396956.52%479450.00%376457.81%8148101356633
3PhantomsWild1000000112-110.50012300856233343533173791022000.00%5180.00%0396956.52%479450.00%376457.81%8148101356633
4PhantomsAdmirals.1100000071621.00071219008562213435331727962345360.00%10100.00%0396956.52%479450.00%376457.81%8148101356633
Vs Conference1000001021121.0002130085623334353317321424213133.33%2150.00%0396956.52%479450.00%376457.81%8148101356633
Since Last GM Reset420000112081270.87520315100856211134353317144511799411654.55%12375.00%0396956.52%479450.00%376457.81%8148101356633
Total420000112081270.87520315100856211134353317144511799411654.55%12375.00%0396956.52%479450.00%376457.81%8148101356633

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
47W1203151111144511799400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4200011208
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
200001133
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2200000175
Derniers 10 Matchs
WLOTWOTL SOWSOL
200011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
11654.55%12375.00%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
343533178562
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
396956.52%479450.00%376457.81%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
8148101356633


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
DateMatchup Result Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Tue, Apr 22Phantoms@PhantomsPhantoms7,Admirals.1RECAP
Wed, Apr 23Phantoms@PhantomsWild2,Phantoms1 (SO)RECAP
Thu, Apr 24Phantoms@PhantomsSound Tigers1,Phantoms2 (SO)RECAP
Sun, Apr 27Phantoms@PhantomsPhantoms10,IceCaps4RECAP



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
0 0 - 0.00% 0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
970,000$ 200,000$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
0$ 0$ 0$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 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