Adirondack Phantoms

GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 15 | GA: 9 | PP%: 12.73% | PK%: 93.48%
DG: Kriss Cardenas | Morale : 97 | Moyenne d'Équipe : N/A
Prochain matchs #62 vs Albany 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
1Adam TambelliniXX99.0067646664647268607558586255505019100
2Brandon MashinterX99.0054806368806764605052626659515219000
3Rene BourqueXX99.0083507773857775705059686350788018300
4Colin McDonaldXX99.0064796567796966625053647161596019200
5Marco Roy (R)X100.0072676762675660506350506150505013300
6Chris ThorburnXX99.0086505869865068555052577050798019100
7Landon FerraroXX99.0069687970686262637959626659535419100
8Tomas JurcoXX99.0060506383725660635050566150616217400
9Paul BissonnetteXX100.0058795561925159505050506150626313500
10Iiro PakarinenXX99.0059506379785261575062666150565619100
11Jacob De La RoseXX99.0087777979778773597454586755515218300
12Scott KosmachukXX100.0063677760677067595056576154505019100
13Mike BlundenX100.0052817768817268585050586955585913700
14Andrew CampbellX99.0062786968786973502550506350505019000
15Matt TennysonX99.0063507270766262552561606250565619100
16Cameron GaunceX99.0070507667776477602555507750707012300
17Yohann Auvitu (R)X99.0055507578716574742561616550505019100
18Jakub KindlX99.0062506972746974592558556650676818600
19Griffin ReinhartX99.0089816968877074522560556550685018700
Rayé
1Alex FriesenX100.0062656960657068506050505850505012500
2Bryce Van BrabantX100.0059765762765660505050505750505012400
3Adam ComrieX100.0065846562725965512550506650505016800
4Chris CarlisleX100.0054626664626971502550505750505016300
5Patrick McNallyX100.0057696762696066502550506050505016800
6Mattias BackmanX100.0056696369696468502550506050505016300
7Brian Cooper (R)X100.0058696862695860502550506050505012500
MOYENNE D'ÉQUIPE99.426566686875646756435456645257561690
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 Lack96.007571707680666572797396797718500
2Mike McKenna100.006480857865676469636331706919100
Rayé
1Frank Palazzese (R)100.005976616967726968676946676614900
MOYENNE D'ÉQUIPE98.67667672747168667070685872711750
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Kowalsky57847751706066CAN444100,000$


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
1Cameron GaunceAdirondack Phantoms (Phi)D5066375379280.00%613527.18033836011032000.00%000000.8800010000
2Griffin ReinhartAdirondack Phantoms (Phi)D5055326101823270.00%513226.40022337011024000.00%000000.7600010000
3Iiro PakarinenAdirondack Phantoms (Phi)LW/RW5415360410146728.57%08316.79213534000001160.00%1000001.1900000200
4Rene BourqueAdirondack Phantoms (Phi)LW/RW53141204161342023.08%013927.881126381011391052.68%11200000.5700000200
5Colin McDonaldAdirondack Phantoms (Phi)LW/RW52243551061961110.53%110621.371125340000190142.86%700000.7500001020
6Jakub KindlAdirondack Phantoms (Phi)D5134-112015511539.09%313326.741231033000130100.00%000000.6000000000
7Landon FerraroAdirondack Phantoms (Phi)C/RW5213314041474728.57%08517.01101235000010064.21%9500000.7100000010
8Jacob De La RoseAdirondack Phantoms (Phi)C/LW5123180511115139.09%113426.981238390000351054.55%12100000.4400000000
9Brandon MashinterAdirondack Phantoms (Phi)LW5202120261421114.29%06813.79000000001160069.23%1300000.5800000001
10Andrew CampbellAdirondack Phantoms (Phi)D50220401613020.00%19218.4000025000018000.00%000000.4300000001
11Yohann AuvituAdirondack Phantoms (Phi)D50220007886100.00%713326.61022734000030000.00%000000.3000000000
12Adam TambelliniAdirondack Phantoms (Phi)C/LW5011140492250.00%16012.1300002000040067.31%5200000.3300000000
13Matt TennysonAdirondack Phantoms (Phi)D5011-1100935130.00%18617.260002600009000.00%000000.2300000000
14Tomas JurcoAdirondack Phantoms (Phi)LW/RW5011120285570.00%05210.43000100000000100.00%100000.3800000000
15Marco RoyAdirondack Phantoms (Phi)C5000-320770230.00%1408.0900000000000042.11%3800000.0000000000
16Chris ThorburnAdirondack Phantoms (Phi)LW/RW5000-1140152101050.00%010821.650004350000180080.00%1500000.0000000000
17Paul BissonnetteAdirondack Phantoms (Phi)LW/RW5000000110010.00%1142.8700006000030083.33%600000.0000000000
18Scott KosmachukAdirondack Phantoms (Phi)LW/RW5000-320118010.00%1408.09000000000000100.00%100000.0000000000
19Mike BlundenAdirondack Phantoms (Phi)LW5000-300141440.00%1408.090000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne951528438120201281211436612810.49%30168817.78714216338112332814258.05%47200000.5100021432
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
1Eddie LackAdirondack Phantoms (Phi)54010.9241.513570091180000.000050010
Stats d'équipe Total ou en Moyenne54010.9241.513570091180000.000050010


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 ft4NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Adam TambelliniAdirondack Phantoms (Phi)C/LW221994-10-31No169 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Alex FriesenAdirondack Phantoms (Phi)C251991-01-30No185 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Andrew CampbellAdirondack Phantoms (Phi)D281988-02-04No206 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Brandon MashinterAdirondack Phantoms (Phi)LW281988-09-19No212 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Brian CooperAdirondack Phantoms (Phi)D231993-10-31Yes197 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Bryce Van BrabantAdirondack Phantoms (Phi)LW251991-11-11No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Cameron GaunceAdirondack Phantoms (Phi)D261990-03-19No210 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Chris CarlisleAdirondack Phantoms (Phi)D221994-12-16No174 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Chris ThorburnAdirondack Phantoms (Phi)LW/RW331983-06-02No235 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Colin McDonaldAdirondack Phantoms (Phi)LW/RW321984-09-29No219 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Eddie LackAdirondack Phantoms (Phi)G291988-01-05No187 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$No1,000,000$
Frank PalazzeseAdirondack Phantoms (Phi)G231993-05-28Yes174 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Griffin ReinhartAdirondack Phantoms (Phi)D221994-01-23No217 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Iiro PakarinenAdirondack Phantoms (Phi)LW/RW251991-08-24No215 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Jacob De La RoseAdirondack Phantoms (Phi)C/LW211995-05-19No207 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No900,000$
Jakub KindlAdirondack Phantoms (Phi)D291987-02-09No199 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$No
Landon FerraroAdirondack Phantoms (Phi)C/RW251991-08-07No186 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Marco RoyAdirondack Phantoms (Phi)C221994-11-05Yes183 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Matt TennysonAdirondack Phantoms (Phi)D261990-04-23No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Mattias BackmanAdirondack Phantoms (Phi)D241992-10-03No181 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No900,000$
Mike BlundenAdirondack Phantoms (Phi)LW301986-12-15No216 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Mike McKennaAdirondack Phantoms (Phi)G331983-04-11No190 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Patrick McNallyAdirondack Phantoms (Phi)D251991-12-04No181 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Paul BissonnetteAdirondack Phantoms (Phi)LW/RW311985-03-10No216 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Rene BourqueAdirondack Phantoms (Phi)LW/RW351981-12-09No214 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Scott KosmachukAdirondack Phantoms (Phi)LW/RW221994-01-23No185 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Tomas JurcoAdirondack Phantoms (Phi)LW/RW241992-12-27No203 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Yohann AuvituAdirondack Phantoms (Phi)D271989-07-27Yes198 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2926.31200 Lbs6 ft22.52458,621$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Rene BourqueJacob De La RoseChris 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 BourqueJacob De La RoseChris 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 BourqueJacob De La Rose60122
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
2Jacob De La Rose40122Jakub KindlYohann Auvitu40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Rene BourqueJacob De La Rose60122
2Chris ThorburnColin McDonald40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cameron GaunceGriffin Reinhart60122
2Jakub KindlYohann Auvitu40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rene BourqueJacob De La RoseChris ThorburnCameron GaunceGriffin Reinhart
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Rene BourqueJacob De La RoseChris 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, Jacob De La Rose, 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
1Albany Devils1010000012-1000000000001010000012-100.000123005640433144482042731352015.00%130100.00%012220459.80%9917855.62%539058.89%157110127457238
2Providence Bruins440000001477220000006332200000084481.000142640005640100314448207623899335617.14%33390.91%112220459.80%9917855.62%539058.89%157110127457238
Total541000001596220000006333210000096380.800152843005640143314448201183012012855712.73%46393.48%112220459.80%9917855.62%539058.89%157110127457238
_Since Last GM Reset541000001596220000006333210000096380.800152843005640143314448201183012012855712.73%46393.48%112220459.80%9917855.62%539058.89%157110127457238
_Vs Conference541000001596220000006333210000096380.800152843005640143314448201183012012855712.73%46393.48%112220459.80%9917855.62%539058.89%157110127457238
_Vs Division401000001477200000006332010000084400.000142640005640100314448207623899335617.14%33390.91%112220459.80%9917855.62%539058.89%157110127457238

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
58OTL11528431431183012012800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5410000159
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000063
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
321000096
Derniers 10 Matchs
WLOTWOTL SOWSOL
400100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
55712.73%46393.48%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
314448205640
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
12220459.80%9917855.62%539058.89%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
157110127457238


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")
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JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2018-04-073Providence Bruins2Adirondack Phantoms3WSommaire du Match
3 - 2018-04-0911Providence Bruins1Adirondack Phantoms3WSommaire du Match
5 - 2018-04-1119Adirondack Phantoms6Providence Bruins3WSommaire du Match
7 - 2018-04-1327Adirondack Phantoms2Providence Bruins1WSommaire du Match
15 - 2018-04-2158Adirondack Phantoms1Albany Devils2LXSommaire du Match
17 - 2018-04-2362Adirondack Phantoms-Albany Devils-
19 - 2018-04-2566Albany Devils-Adirondack Phantoms-
21 - 2018-04-2770Albany Devils-Adirondack Phantoms-
23 - 2018-04-2974Adirondack Phantoms-Albany Devils-
25 - 2018-05-0178Albany Devils-Adirondack Phantoms-
27 - 2018-05-0382Adirondack Phantoms-Albany Devils-



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
0$ 133,000$ 166,750$ 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$ 13 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
1254100000159622000000633321000009638152843005640143314448201183012012855712.73%46393.48%112220459.80%9917855.62%539058.89%157110127457238
Total Séries54100000159622000000633321000009638152843005640143314448201183012012855712.73%46393.48%112220459.80%9917855.62%539058.89%157110127457238