Phantoms

DG: Vladimir Krob Morale : 1 Moyenne d'Équipe : 54
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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
1Jimmy Vesey (R)X100.00574078796475746250434660555050028600
2Jim O'BrienXX100.00617664635869576177393961695864033570
3Shane HarperXX100.00756975625368666074393558504444019550
4Zach O'BrienXX100.0074697568536664566735336050444409540
5Curtis Hamilton (R)X100.00697868585766595579353259605259016540
6Tim Bozon (R)X100.00837278625550595364273159504444020520
7Adam PayerlXX100.00588058645965635774323556504444020520
8Colin CampbellXX100.00607562655764635465283356504444048510
9Harry Zolnierczyk (A)X100.00576859665261615564293554505050013510
10Ross MauermannXX100.00616570635156615665323158504444020510
11Andrew YoganX100.00617663605858615668323258504444015510
12Anthony Camara (R)X100.00547056635363625667323051504444022500
13Zach Werenski (R)X100.00644073726975747050464271505050018620
14Erik BurgdoerferX100.00597966586368705925303159504747036530
15Taylor DohertyX100.00609161626555575925342860504747018520
16Jonathan Racine (R)X100.00567263685968705425262755504545012520
17James MelindyX100.00583572617545404530293153474347013480
Rayé
1Matthew Tkachuk (R)X100.00675362786972717250414360505050012600
2Caleb Herbert (R)XXX100.00676772645249595259272757504444019490
3Daniel CiampiniXX100.00676772635148575256253257504444018490
4Troy BourkeXX100.00556259674965635459292951504444019490
5Jordan Schmaltz (R)X100.00617268705962666725383162505050021560
6Joey MorminaX100.0061856657646568542528266050484809520
7Spiro GoulakosX100.00617268665954575425253160504747012510
MOYENNE D'ÉQUIPE100.0063686765596263575333335851474702053
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 Robinson100.0062656567707668706768555555024650
2Brandon Halverson (R)100.0055555555555555555555555555011550
Rayé
MOYENNE D'ÉQUIPE100.005960606163666263616255555501860
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
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


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 Ballotage Forcé Contrat StatusType 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 PayerlPhantoms (PHI)C/RW264.3.1991No218 Lbs6 ft3NoNo1Avec RestrictionPro & Farm700,000$Lien
Andrew YoganPhantoms (PHI)RW254.12.1991 15:06:34No204 Lbs6 ft3NoNo7Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Anthony CamaraPhantoms (PHI)LW234.9.1993Yes192 Lbs6 ft0NoNo8Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Brandon HalversonPhantoms (PHI)G2129.3.1996 15:47:39Yes91 Lbs6 ft4NoNo10Contrat d'EntréePro & Farm100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Caleb HerbertPhantoms (PHI)C/LW/RW2512.10.1991Yes185 Lbs5 ft11NoNo10Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Colin CampbellPhantoms (PHI)LW/RW2616.4.1991No207 Lbs6 ft1NoNo1Avec RestrictionPro & Farm700,000$Lien
Curtis HamiltonPhantoms (PHI)LW254.12.1991 3:18:03Yes208 Lbs6 ft2NoNo6Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$
Daniel CiampiniPhantoms (PHI)LW/RW2625.11.1990No185 Lbs5 ft11NoNo1Avec RestrictionPro & Farm700,000$Lien
Erik BurgdoerferPhantoms (PHI)D2811.12.1988No216 Lbs6 ft2NoNo1Sans RestrictionPro & Farm1,100,000$Lien
Harry ZolnierczykPhantoms (PHI)LW291.9.1987No185 Lbs6 ft0NoNo1Sans RestrictionPro & Farm600,000$Lien
James MelindyPhantoms (PHI)D2311.12.1993No190 Lbs6 ft2NoNo1Avec RestrictionPro & Farm600,000$Lien
Jim O'BrienPhantoms (PHI)C/RW2829.1.1989No202 Lbs6 ft2NoNo1Sans RestrictionPro & Farm600,000$Lien
Jimmy VeseyPhantoms (PHI)LW2326.5.1993 23:14:15Yes194 Lbs6 ft1NoNo1Avec RestrictionPro & Farm399,999$
Joey MorminaPhantoms (PHI)D3429.6.1982No220 Lbs6 ft6NoNo1Sans RestrictionPro & Farm1,100,000$Lien
Jonathan RacinePhantoms (PHI)D2328.5.1993 15:08:43Yes194 Lbs6 ft2NoNo7Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Jordan SchmaltzPhantoms (PHI)D238.10.1993 14:40:00Yes190 Lbs6 ft2NoNo9Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Josh RobinsonPhantoms (PHI)G271.12.1989No185 Lbs6 ft0NoNo1Sans RestrictionPro & Farm600,000$Lien
Matthew TkachukPhantoms (PHI)LW1911.12.1997 23:23:43Yes203 Lbs6 ft2NoNo1Contrat d'EntréePro & Farm399,999$
Ross MauermannPhantoms (PHI)C/LW2619.10.1990No185 Lbs5 ft9NoNo1Avec RestrictionPro & Farm700,000$Lien
Shane HarperPhantoms (PHI)LW/RW281.2.1989No193 Lbs5 ft11NoNo5Sans RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$Lien
Spiro GoulakosPhantoms (PHI)D2716.2.1990No194 Lbs6 ft2NoNo1Sans RestrictionPro & Farm1,100,000$Lien
Taylor DohertyPhantoms (PHI)D262.3.1991 14:45:26No236 Lbs6 ft8NoNo1Avec RestrictionPro & Farm600,000$Lien
Tim BozonPhantoms (PHI)LW2324.3.1994 14:42:47Yes196 Lbs6 ft1NoNo9Avec RestrictionPro & Farm100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Troy BourkePhantoms (PHI)C/LW2330.3.1994No170 Lbs5 ft10NoNo9Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Zach O'BrienPhantoms (PHI)C/RW2429.6.1992No192 Lbs5 ft11NoNo1Avec RestrictionPro & Farm600,000$Lien
Zach WerenskiPhantoms (PHI)D1919.7.1997 23:19:35Yes209 Lbs6 ft2NoNo1Contrat d'EntréePro & Farm399,999$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.00194 Lbs6 ft13.69457,692$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jimmy VeseyJim O'BrienShane Harper40122
2Ross MauermannAdam PayerlZach O'Brien30122
3Harry ZolnierczykJimmy VeseyColin Campbell20122
4Anthony CamaraJim O'BrienAndrew Yogan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor DohertyZach Werenski45122
2Jonathan Racine25122
3Zach WerenskiErik Burgdoerfer17122
4Jonathan Racine13122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ross MauermannAdam PayerlColin Campbell60122
2Jim O'BrienJimmy VeseyHarry Zolnierczyk40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik BurgdoerferJonathan Racine60122
2Zach Werenski40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Colin CampbellAdam Payerl60122
2Adam PayerlAnthony Camara40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik Burgdoerfer60122
2Jonathan RacineZach Werenski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ross Mauermann60122Jonathan RacineZach Werenski60122
2Adam Payerl40122Taylor DohertyErik Burgdoerfer40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jim O'BrienRoss Mauermann60122
2Adam PayerlColin Campbell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach Werenski60122
2Jonathan RacineErik Burgdoerfer40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Harry ZolnierczykZach O'BrienJim O'BrienZach WerenskiJonathan Racine
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jim O'BrienAdam PayerlShane HarperJonathan RacineZach Werenski
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Payerl, Jimmy Vesey, Jim O'BrienAdam Payerl, Harry ZolnierczykColin Campbell
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jonathan Racine, Zach Werenski, Erik BurgdoerferTaylor DohertyJonathan Racine, Zach Werenski
Tirs de Pénalité
Jimmy Vesey, Jim O'Brien, Ross Mauermann, Adam Payerl, Colin Campbell
Gardien
#1 : Brandon Halverson, #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
Total0000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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
DateMatchup Result Detail



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
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
41 0 - 0.00%0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,080,000$ 100,000$ 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