LEHIGH VALLEY Phantoms

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Sylvain Beauchamp | Morale : 99 | Moyenne d'Équipe : 63
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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 SPÂgeContratSalaire
1Vinnie Hinostroza0XX100.006838897166778570637265647671664899710261750,000$
2Logan Shaw0X100.006546886285757863555960646275655399680272750,000$
3Joel Lowry0X100.005755806173868759576056585677695697670281750,000$
4Curtis Lazar0X100.006645896277797861726060666269658097670252950,000$
5Dryden Hunt0X100.006843846373807862576161646269655299670242750,000$
6Frederick Gaudreau0X100.005839826370777562676159646273675899660273750,000$
7Jonny Brodzinski0X100.006443886280737261645860635973675299660273750,000$
8Nick Moutrey0X100.007450875688858354505253585669655999660253750,000$
9Jacob Josefson0X100.006241837170785660596262686863577097650291750,000$
10Ryan Fitzgerald0X100.005443866164878859555856545971665799650255750,000$
11Mark Letestu0X100.005035697069505170706464526472572399610355750,000$
12Spencer Watson (R)0X100.005089735655505056505252505250504499530242750,000$
13Casey Nelson0X100.006043895974817558305756615375685798650285750,000$
14Alexandre Carrier0X100.005642886067848059306157585467645899650234750,000$
15Jacob Middleton0X100.006651836185757159305857605367645499650242750,000$
16Joel Persson (R)0X100.005837866266786861306057594871665399640263750,000$
17Brandon Hickey0X100.006645885681767554305352554567646599630241750,000$
18Blake Hillman0X100.006145895476818352305151534667646197620241750,000$
Rayé
1Justin Falk0X100.0074627159945355593049465756615347975903100$
2Brandon Crawley (R)0X100.005489486378505063304742505250504499540231750,000$
MOYENNE D'ÉQUIPE100.00624982627574726048585659576863559864
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
1Colton Point (R)100.00615452936059616059616063675899570
2Kaden Fulcher (R)100.00585554775757585757575350544499530
Rayé
MOYENNE D'ÉQUIPE100.0060555385595860595859575761519955
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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 Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexandre CarrierLEHIGH VALLEY Phantoms (PHI)D2310/8/1996No79 Kg180 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Blake HillmanLEHIGH VALLEY Phantoms (PHI)D241/26/1996No88 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Brandon CrawleyLEHIGH VALLEY Phantoms (PHI)D232/2/1997Yes93 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Brandon HickeyLEHIGH VALLEY Phantoms (PHI)D244/13/1996No91 Kg188 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Casey NelsonLEHIGH VALLEY Phantoms (PHI)D287/18/1992No84 Kg185 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Colton PointLEHIGH VALLEY Phantoms (PHI)G223/4/1998Yes107 Kg193 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Curtis LazarLEHIGH VALLEY Phantoms (PHI)C252/2/1995No96 Kg183 CMNoNoNo2Pro & Farm950,000$950,000$950,000$950,000$0$0$No950,000$Lien
Dryden HuntLEHIGH VALLEY Phantoms (PHI)LW2411/24/1995No88 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Frederick GaudreauLEHIGH VALLEY Phantoms (PHI)C275/1/1993No81 Kg183 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Jacob JosefsonLEHIGH VALLEY Phantoms (PHI)C293/2/1991No89 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Jacob MiddletonLEHIGH VALLEY Phantoms (PHI)D241/2/1996No95 Kg191 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Joel LowryLEHIGH VALLEY Phantoms (PHI)LW2811/15/1991No82 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Joel PerssonLEHIGH VALLEY Phantoms (PHI)D263/4/1994Yes77 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Jonny BrodzinskiLEHIGH VALLEY Phantoms (PHI)C276/19/1993No98 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Justin FalkLEHIGH VALLEY Phantoms (PHI)D3110/11/1988No101 Kg196 CMNoNoNo0Pro & Farm0$0$NoLien
Kaden FulcherLEHIGH VALLEY Phantoms (PHI)G219/23/1998Yes83 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$
Logan ShawLEHIGH VALLEY Phantoms (PHI)RW2710/5/1992No95 Kg191 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Mark LetestuLEHIGH VALLEY Phantoms (PHI)C352/4/1985No89 Kg178 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Nick MoutreyLEHIGH VALLEY Phantoms (PHI)RW256/24/1995No101 Kg191 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Ryan FitzgeraldLEHIGH VALLEY Phantoms (PHI)LW2510/19/1994No78 Kg175 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Spencer WatsonLEHIGH VALLEY Phantoms (PHI)LW244/25/1996Yes77 Kg155 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$
Vinnie HinostrozaLEHIGH VALLEY Phantoms (PHI)LW/RW264/3/1994No79 Kg175 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2225.8289 Kg183 CM2.36725,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joel LowryCurtis LazarLogan Shaw31122
2Dryden HuntFrederick Gaudreau31122
3Nick MoutreyJonny BrodzinskiJacob Josefson23122
4Joel LowryJacob JosefsonJonny Brodzinski15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Casey NelsonAlexandre Carrier31122
2Jacob MiddletonJoel Persson26122
323122
4Casey NelsonAlexandre Carrier20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joel LowryCurtis LazarLogan Shaw55122
2Dryden HuntJonny BrodzinskiCurtis Lazar45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Casey NelsonAlexandre Carrier55122
2Jacob MiddletonJoel Persson45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Curtis LazarJoel Lowry55122
2Jonny BrodzinskiDryden Hunt45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Casey NelsonAlexandre Carrier55122
2Jacob MiddletonJoel Persson45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Curtis Lazar55122Casey NelsonAlexandre Carrier55122
2Jonny Brodzinski45122Jacob MiddletonJoel Persson45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Curtis LazarJoel Lowry55122
2Jonny BrodzinskiDryden Hunt45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Casey NelsonAlexandre Carrier55122
2Jacob MiddletonJoel Persson45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joel LowryCurtis LazarLogan ShawCasey NelsonAlexandre Carrier
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joel LowryCurtis LazarLogan ShawCasey NelsonAlexandre Carrier
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dryden Hunt, Jonny Brodzinski, Nick MoutreyDryden Hunt, Jonny BrodzinskiDryden Hunt
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joel Persson, , Joel PerssonJoel Persson,
Tirs de Pénalité
Logan Shaw, Curtis Lazar, , Joel Lowry, Dryden Hunt
Gardien
#1 : Colton Point, #2 : Kaden Fulcher
Lignes d'Attaque Perso. en Prol.
Logan Shaw, Curtis Lazar, , Joel Lowry, Dryden Hunt, Jonny Brodzinski, Jonny Brodzinski, Nick Moutrey, Frederick Gaudreau, Jacob Josefson, Ryan Fitzgerald
Lignes de Défense Perso. en Prol.
Casey Nelson, Alexandre Carrier, Jacob Middleton, Joel Persson,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



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
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,595,000$ 1,595,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 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
Saison Régulière
34802832056542592509401514025311201101040131803123139140-18625942768625101717712264084386287689265674350112332854917.19%2074876.81%21371256053.55%1257259348.48%616121850.57%191113842006550952465
34802832056542592509401514025311201101040131803123139140-18625942768625101717712264084386287689265674350112332854917.19%2074876.81%21371256053.55%1257259348.48%616121850.57%191113842006550952465
Total Saison Régulière160566401012108518500188030280410622402202080263606246278280-2172518854137241020214215424528016861724175217853121486100224665709817.19%4149676.81%42742512053.55%2514518648.48%1232243650.57%38222768401311001904930
Séries
34404000001014-42020000068-22020000046-201020300027101313339362315756506320210.00%20290.00%08115552.26%8416650.60%336550.77%10368126365928
Total Séries404000001014-42020000068-22020000046-201020300027101313339362315756506320210.00%20290.00%08115552.26%8416650.60%336550.77%10368126365928