Adirondack Phantoms

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Kriss Cardenas | Morale : 50 | Moyenne d'Équipe : N/A
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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
1Adam TambelliniXX100.0067646664647268607558586255505018700
2Brandon MashinterX100.0054806368806764605052626659515218300
3Rene BourqueXX100.0083507773857775705059686350788017900
4Colin McDonaldXX100.0064796567796966625053647161596018800
5Marco RoyX100.0072676762675660506350506150505013100
6Chris ThorburnXX100.0086505869865068555052577050798018700
7Landon FerraroXX100.0069687970686262637959626659535418800
8Tomas JurcoXX100.0060506383725660635050566150616217200
9Paul BissonnetteXX100.0058795561925159505050506150626313200
10Iiro PakarinenXX100.0059506379785261575062666150565618700
11Scott KosmachukXX100.0063677760677067595056576154505018700
12Mike BlundenX100.0052817768817268585050586955585913400
13Andrew CampbellX100.0062786968786973502550506350505018600
14Matt TennysonX100.0063507270766262552561606250565618700
15Cameron GaunceX100.0070507667776477602555507750707012100
16Yohann AuvituX100.0055507578716574742561616550505018700
17Jakub KindlX100.0062506972746974592558556650676818200
18Griffin ReinhartX100.0089816968877074522560556550685018300
Rayé
1Alex FriesenX100.0062656960657068506050505850505012100
2Bryce Van BrabantX100.0059765762765660505050505750505012000
3Adam ComrieX100.0065846562725965512550506650505016400
4Chris CarlisleX100.0054626664626971502550505750505015900
5Patrick McNallyX100.0057696762696066502550506050505016400
6Mattias BackmanX100.0056696369696468502550506050505015900
7Brian CooperX100.0058696862695860502550506050505012100
MOYENNE D'ÉQUIPE100.006466686875646756425456645257561640
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
1Eddie Lack100.007571707680666572797396797718100
2Mike McKenna100.006480857865676469636331706918700
Rayé
1Frank Palazzese100.005976616967726968676946676614500
MOYENNE D'ÉQUIPE100.00667672747168667070685872711710
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Kowalsky57847751706066CAN453100,000$


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
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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire 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 ComrieAdirondack Phantoms (Phi)D261990-07-31No227 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Adam TambelliniAdirondack Phantoms (Phi)C/LW221994-10-31No169 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
Alex FriesenAdirondack Phantoms (Phi)C251991-01-30No185 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Andrew CampbellAdirondack Phantoms (Phi)D281988-02-04No206 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Brandon MashinterAdirondack Phantoms (Phi)LW281988-09-19No212 Lbs6 ft4NoNoNo0Sans RestrictionPro & Farm0$0$No
Brian CooperAdirondack Phantoms (Phi)D231993-10-31No197 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Bryce Van BrabantAdirondack Phantoms (Phi)LW251991-11-11No205 Lbs6 ft2NoNoNo0Avec RestrictionPro & Farm0$0$No
Cameron GaunceAdirondack Phantoms (Phi)D261990-03-19No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Chris CarlisleAdirondack Phantoms (Phi)D221994-12-16No174 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Chris ThorburnAdirondack Phantoms (Phi)LW/RW331983-06-02No235 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Colin McDonaldAdirondack Phantoms (Phi)LW/RW321984-09-29No219 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Eddie LackAdirondack Phantoms (Phi)G291988-01-05No187 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$No
Frank PalazzeseAdirondack Phantoms (Phi)G231993-05-28No174 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Griffin ReinhartAdirondack Phantoms (Phi)D221994-01-23No217 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Iiro PakarinenAdirondack Phantoms (Phi)LW/RW251991-08-24No215 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jakub KindlAdirondack Phantoms (Phi)D291987-02-09No199 Lbs6 ft3NoNoNo0Sans RestrictionPro & Farm0$0$No
Landon FerraroAdirondack Phantoms (Phi)C/RW251991-08-07No186 Lbs6 ft0NoNoNo0Avec RestrictionPro & Farm0$0$No
Marco RoyAdirondack Phantoms (Phi)C221994-11-05No183 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Matt TennysonAdirondack Phantoms (Phi)D261990-04-23No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Mattias BackmanAdirondack Phantoms (Phi)D241992-10-03No181 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$0$0$No
Mike BlundenAdirondack Phantoms (Phi)LW301986-12-15No216 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Mike McKennaAdirondack Phantoms (Phi)G331983-04-11No190 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Patrick McNallyAdirondack Phantoms (Phi)D251991-12-04No181 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Paul BissonnetteAdirondack Phantoms (Phi)LW/RW311985-03-10No216 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Rene BourqueAdirondack Phantoms (Phi)LW/RW351981-12-09No214 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Scott KosmachukAdirondack Phantoms (Phi)LW/RW221994-01-23No185 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Tomas JurcoAdirondack Phantoms (Phi)LW/RW241992-12-27No203 Lbs5 ft11NoNoNo0Avec RestrictionPro & Farm0$0$No
Yohann AuvituAdirondack Phantoms (Phi)D271989-07-27No198 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2826.50200 Lbs6 ft21.54357,143$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rene BourqueChris Thorburn40122
2Colin McDonaldLandon FerraroIiro Pakarinen30122
3Brandon MashinterAdam TambelliniTomas Jurco20122
4Mike BlundenMarco RoyScott Kosmachuk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cameron GaunceGriffin Reinhart40122
2Jakub KindlYohann Auvitu30122
3Matt TennysonAndrew Campbell20122
4Cameron GaunceGriffin Reinhart10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rene BourqueChris Thorburn60122
2Colin McDonaldLandon FerraroIiro Pakarinen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cameron GaunceGriffin Reinhart60122
2Jakub KindlYohann Auvitu40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Rene Bourque60122
2Chris ThorburnColin McDonald40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cameron GaunceGriffin Reinhart60122
2Jakub KindlYohann Auvitu40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Rene Bourque60122Cameron GaunceGriffin Reinhart60122
240122Jakub KindlYohann Auvitu40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Rene Bourque60122
2Chris ThorburnColin McDonald40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cameron GaunceGriffin Reinhart60122
2Jakub KindlYohann Auvitu40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rene BourqueChris ThorburnCameron GaunceGriffin Reinhart
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rene BourqueChris ThorburnCameron GaunceGriffin Reinhart
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Paul Bissonnette, Adam Tambellini, Brandon MashinterPaul Bissonnette, Adam TambelliniBrandon Mashinter
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Tennyson, Andrew Campbell, Jakub KindlMatt TennysonAndrew Campbell, Jakub Kindl
Tirs de Pénalité
Rene Bourque, , Chris Thorburn, Colin McDonald, Iiro Pakarinen
Gardien
#1 : Eddie Lack, #2 : Mike McKenna


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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 100,000$ 138,750$ 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
Séries
129540000021192431000009815230000012111102139600077702225667762320447193199921010.87%74691.89%118833855.62%16330852.92%8814560.69%2571742207812565
129540000021192431000009815230000012111102139600077702225667762320447193199921010.87%74691.89%118833855.62%16330852.92%8814560.69%2571742207812565
Total Séries18108000004238486200000181621046000002422220427812000141414044411213415246408943863981842010.87%1481291.89%237667655.62%32661652.92%17629060.69%515349441156251131