Adirondack Phantoms

GP: 67 | W: 46 | L: 15 | OTL: 6 | P: 98
GF: 218 | GA: 102 | PP%: 13.79% | PK%: 91.60%
DG: Kriss Cardenas | Morale : 78 | Moyenne d'Équipe : N/A
Prochain matchs #994 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 TambelliniXX99.0067646664647268607558586255505018900
2Brandon MashinterX99.0054806368806764605052626659515219000
3Colin McDonaldXX99.0064796567796966625053647161596018800
4Chris ThorburnXX99.0086505869865068555052577050798018900
5Landon FerraroXX99.0069687970686262637959626659535418900
6Iiro PakarinenXX99.0059506379785261575062666150565618900
7Scott KosmachukXX99.0063677760677067595056576154505018900
8Adam ComrieX100.0065846562725965512550506650505017300
9Chris CarlisleX100.0054626664626971502550505750505016100
10Andrew CampbellX100.0062786968786973502550506350505019000
11Patrick McNallyX100.0057696762696066502550506050505017400
12Matt TennysonX100.0063507270766262552561606250565618900
13Yohann Auvitu (R)X100.0055507578716574742561616550505018900
14Jakub KindlX100.0062506972746974592558556650676818000
15Mattias BackmanX100.0056696369696468502550506050505016800
16Brian Cooper (R)X100.0058696862695860502550506050505013000
17Griffin ReinhartX100.0089816968877074522560556550685018800
Rayé
1Alex FriesenX100.0062656960657068506050505850505012000
2Bryce Van BrabantX100.0059765762765660505050505750505012000
3Marco Roy (R)X100.0072676762675660506350506150505012000
4Paul BissonnetteXX100.0058795561925159505050506150626312000
5Cameron GaunceX100.0070507667776477602555507750707011500
MOYENNE D'ÉQUIPE99.686466676774636755415455635256551660
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 Lack100.007571707680666572797396797717900
2Mike McKenna100.006480857865676469636331706918800
Rayé
MOYENNE D'ÉQUIPE100.00707678777367657171686475731840
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
1Rene BourquePhiladelphie FlyersLW/RW66363268448001311562640013.64%12161024.4011718793311121141111055.52%101400000.84130008113
2Colin McDonaldAdirondack Phantoms (Phi)LW/RW67263460364610391102220111.71%10127419.02614206831422482224253.62%20700020.9401101443
3Yohann AuvituAdirondack Phantoms (Phi)D67144660404606759153029.15%57139120.78514191003070446354300.00%000010.8600000364
4Jacob De La RosePhiladelphie FlyersC/LW6517415837123151651511700010.00%9151723.347121955330000144074066.10%130100000.7613102368
5Chris ThorburnAdirondack Phantoms (Phi)LW/RW67173451391160191571270113.39%6115717.2849133130210121132165.48%8400000.8801000165
6Landon FerraroAdirondack Phantoms (Phi)C/RW6723275038240331261690213.61%8122718.3267133531811261727265.96%80500000.8102000543
7Jakub KindlAdirondack Phantoms (Phi)D607273423315325998107.14%55137222.8761016723040113340310.00%000000.5000100103
8Iiro PakarinenAdirondack Phantoms (Phi)LW/RW671717342644050781671110.18%697514.55549411660001242261.29%9300100.7000000213
9Matt TennysonAdirondack Phantoms (Phi)D672313337780953461003.28%42120017.91099372310222248010.00%000000.5500000211
10Adam TambelliniAdirondack Phantoms (Phi)C/LW6713193226600751191160111.21%2102415.29538282010001532162.89%98900000.6200000015
11Griffin ReinhartAdirondack Phantoms (Phi)D6792231241944024544781111.54%55148522.1831013473381012340200.00%000100.4200214132
12Brandon MashinterAdirondack Phantoms (Phi)LW6716102622562056981280012.50%889813.400005180004811056.23%32900000.5811202220
13Andrew CampbellAdirondack Phantoms (Phi)D67419234092108134400110.00%3599714.88044161070112148200.00%300000.4600101100
14Scott KosmachukAdirondack Phantoms (Phi)LW/RW67101020184355470107009.35%489013.300001251013421155.26%7600000.4501001322
15Adam ComrieAdirondack Phantoms (Phi)D593101324117358626140021.43%2665311.07000012000048000.00%000000.4000034010
16Mattias BackmanAdirondack Phantoms (Phi)D440889340491116000.00%83427.79000170110140028.57%700000.4700000000
17Bryce Van BrabantAdirondack Phantoms (Phi)LW61233205340025.00%1447.3800013000040133.33%300001.3500000000
18Cameron GaunceAdirondack Phantoms (Phi)D10123010012613007.69%822322.30112936000070100.00%000000.2700000000
19Paul BissonnetteAdirondack Phantoms (Phi)LW/RW21022145151067000.00%51155.5200001000050055.56%900000.3500012000
20Alex FriesenAdirondack Phantoms (Phi)C7011120614000.00%0436.2000005000130048.28%2900000.4600000000
21Chris CarlisleAdirondack Phantoms (Phi)D4101151601266000.00%82275.550000400003000.00%000000.0900000000
22Patrick McNallyAdirondack Phantoms (Phi)D49101516016771014.29%92304.71000418000050000.00%200000.0900000010
23Marco RoyAdirondack Phantoms (Phi)C13011212091012000.00%0896.8500000000000060.29%6800000.2200000000
24Brian CooperAdirondack Phantoms (Phi)D19000000410000.00%4442.3700008000018000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1197217396613500128715515231272198341010.94%3781903615.9059104163630339971320663181451261.53%502000230.643128517364942
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)64441460.9231.5037934159512260200.58312640734
2Mike McKennaAdirondack Phantoms (Phi)62100.9361.19253015780000.0000363001
Stats d'équipe Total ou en Moyenne70461560.9231.48404741610013040200.583126763735


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$
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$
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 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$
Scott KosmachukAdirondack Phantoms (Phi)LW/RW221994-01-23No185 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
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
2426.25199 Lbs6 ft22.54450,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colin McDonaldLandon FerraroChris Thorburn40122
2Iiro PakarinenAdam TambelliniScott Kosmachuk30122
3Brandon MashinterColin McDonaldChris Thorburn20122
4Iiro PakarinenLandon FerraroBrandon Mashinter10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Griffin ReinhartJakub Kindl40122
2Yohann AuvituMatt Tennyson30122
3Andrew CampbellAdam Comrie20122
4Mattias BackmanChris Carlisle10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colin McDonaldLandon FerraroChris Thorburn60122
2Iiro PakarinenAdam TambelliniScott Kosmachuk40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Griffin ReinhartJakub Kindl60122
2Yohann AuvituMatt Tennyson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Colin McDonaldChris Thorburn60122
2Landon FerraroIiro Pakarinen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Griffin ReinhartJakub Kindl60122
2Yohann AuvituMatt Tennyson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Colin McDonald60122Griffin ReinhartJakub Kindl60122
2Chris Thorburn40122Yohann AuvituMatt Tennyson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Colin McDonaldChris Thorburn60122
2Landon FerraroIiro Pakarinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Griffin ReinhartJakub Kindl60122
2Yohann AuvituMatt Tennyson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colin McDonaldLandon FerraroChris ThorburnGriffin ReinhartJakub Kindl
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colin McDonaldLandon FerraroChris ThorburnGriffin ReinhartJakub Kindl
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Mashinter, Adam Tambellini, Scott KosmachukBrandon Mashinter, Adam TambelliniScott Kosmachuk
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrick McNally, Brian Cooper, Andrew CampbellPatrick McNallyBrian Cooper, Andrew Campbell
Tirs de Pénalité
Colin McDonald, Chris Thorburn, Landon Ferraro, Iiro Pakarinen, Brandon Mashinter
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
1Abbotsford Heat22000000606110000005051100000010141.000611170280656967260467469620268246119210.53%110100.00%01398225362.05%1110187359.26%61297462.83%189313541356465802432
2Albany Devils22000000633110000003211100000031241.000681400806569642604674696204510523915426.67%26292.31%01398225362.05%1110187359.26%61297462.83%189313541356465802432
3Binghampton Senateurs41001200880210001005502000110033060.75081523018065696113604674696207921788424520.83%33390.91%01398225362.05%1110187359.26%61297462.83%189313541356465802432
4Bridgeport Sound Tigers21000001440110000003211000000112-130.750471100806569642604674696204713424317211.76%21385.71%01398225362.05%1110187359.26%61297462.83%189313541356465802432
5Charlotte Checkers2200000012012110000008081100000040441.0001223350280656968660467469620189224110330.00%110100.00%01398225362.05%1110187359.26%61297462.83%189313541356465802432
6Chicago Wolves2010010015-41010000003-31000010012-110.2501230080656964960467469620371432442015.00%15286.67%01398225362.05%1110187359.26%61297462.83%189313541356465802432
7Connecticut Whale330000002332022000000162141100000071661.00023456801806569617160467469620537325610550.00%150100.00%11398225362.05%1110187359.26%61297462.83%189313541356465802432
8Grand Rapids Griffins220000001037110000004221100000061541.0001018280080656965660467469620411529439222.22%10190.00%01398225362.05%1110187359.26%61297462.83%189313541356465802432
9Hamilton Bulldogs3110000145-11000000123-12110000022030.50047110080656968760467469620552159722613.85%26292.31%01398225362.05%1110187359.26%61297462.83%189313541356465802432
10Hershey Bears41201000871201010003302110000054140.50081422008065696128604674696207418709330310.00%26388.46%11398225362.05%1110187359.26%61297462.83%189313541356465802432
11Houston Aeros11000000413110000004130000000000021.000481200806569633604674696203081226300.00%6183.33%01398225362.05%1110187359.26%61297462.83%189313541356465802432
12Lake Erie Monsters11000000808110000008080000000000021.0008162401806569648604674696201318244125.00%40100.00%01398225362.05%1110187359.26%61297462.83%189313541356465802432
13Manchester Monarchs220000001221022000000122100000000000041.0001222340080656968460467469620277364612541.67%12191.67%01398225362.05%1110187359.26%61297462.83%189313541356465802432
14Milwaukee Admirals2020000027-51010000014-31010000013-200.0002350080656964960467469620531165591300.00%16381.25%01398225362.05%1110187359.26%61297462.83%189313541356465802432
15Norfolk Admirals5500000034430440000002622411000000826101.0003461950280656962286046746962094119911720210.00%280100.00%31398225362.05%1110187359.26%61297462.83%189313541356465802432
16Oklahoma City Barons21100000523110000005051010000002-220.500591401806569640604674696204319444711218.18%17194.12%01398225362.05%1110187359.26%61297462.83%189313541356465802432
17Peoria Rivermen32000100743110000004132100010033050.8337132000806569690604674696203717445924416.67%18288.89%01398225362.05%1110187359.26%61297462.83%189313541356465802432
18Portland Pirates311000108711010000012-12100001075240.667813210080656966860467469620762072811616.25%26484.62%01398225362.05%1110187359.26%61297462.83%189313541356465802432
19Providence Bruins32100000743220000007341010000001-140.6677142100806569658604674696207327536024520.83%23195.65%01398225362.05%1110187359.26%61297462.83%189313541356465802432
20Rockford IceHogs11000000202110000002020000000000021.000246018065696226046746962016516257228.57%70100.00%01398225362.05%1110187359.26%61297462.83%189313541356465802432
21San Antonio Rampage11000000523000000000001100000052321.0005101500806569632604674696203292438000.00%12283.33%01398225362.05%1110187359.26%61297462.83%189313541356465802432
22Springfield Falcons32100000761110000002022110000056-140.6677111801806569651604674696207129737218316.67%32196.88%01398225362.05%1110187359.26%61297462.83%189313541356465802432
23St-John Ice Caps3210000013852200000010281010000036-340.6671324370180656967160467469620672076591119.09%20480.00%01398225362.05%1110187359.26%61297462.83%189313541356465802432
24Syracuse Crunch22000000413110000002021100000021141.0004711018065696446046746962031824481915.26%11190.91%11398225362.05%1110187359.26%61297462.83%189313541356465802432
25Texas Stars211000003211010000012-11100000020220.500358018065696366046746962034143838600.00%19194.74%01398225362.05%1110187359.26%61297462.83%189313541356465802432
26Toronto Marlies1010000023-1000000000001010000023-100.00024600806569636604674696201735121600.00%6183.33%01398225362.05%1110187359.26%61297462.83%189313541356465802432
Total674215034122181021163325501101134419334171002311846123980.73121839761501680656961982604674696201304377128715194285913.79%5004291.60%71398225362.05%1110187359.26%61297462.83%189313541356465802432
28Wilkes-Barre Penguins2110000067-1000000000002110000067-120.500611170080656965160467469620411343431616.25%19289.47%01398225362.05%1110187359.26%61297462.83%189313541356465802432
29Worchester Sharks42101000743000000000004210100074360.750712190180656969560467469620741969803837.89%30196.67%11398225362.05%1110187359.26%61297462.83%189313541356465802432
_Since Last GM Reset674215034122181021163325501101134419334171002311846123980.73121839761501680656961982604674696201304377128715194285913.79%5004291.60%71398225362.05%1110187359.26%61297462.83%189313541356465802432
_Vs Conference4227803211147687921172011009025652110602111574314650.7741472644110880656961246604674696208522238199212704115.19%3222691.93%71398225362.05%1110187359.26%61297462.83%189313541356465802432
_Vs Division16810000140261475000000201379310000120137170.5314075115028065696426604674696203281043183661081412.96%1211190.91%11398225362.05%1110187359.26%61297462.83%189313541356465802432

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6798W32183976151982130437712871519016
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6742153412218102
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
33255110113441
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
34171023118461
Derniers 10 Matchs
WLOTWOTL SOWSOL
820000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4285913.79%5004291.60%7
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
604674696208065696
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
1398225362.05%1110187359.26%61297462.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
189313541356465802432


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
2 - 2017-10-028Adirondack Phantoms3Worchester Sharks0WSommaire du Match
4 - 2017-10-0423Norfolk Admirals0Adirondack Phantoms8WSommaire du Match
5 - 2017-10-0530Adirondack Phantoms3Springfield Falcons2WSommaire du Match
10 - 2017-10-1053Norfolk Admirals1Adirondack Phantoms8WSommaire du Match
11 - 2017-10-1170Adirondack Phantoms2Hamilton Bulldogs1WSommaire du Match
14 - 2017-10-1480Adirondack Phantoms0Worchester Sharks2LSommaire du Match
15 - 2017-10-1592Norfolk Admirals0Adirondack Phantoms4WSommaire du Match
17 - 2017-10-17112Binghampton Senateurs2Adirondack Phantoms1LXSommaire du Match
19 - 2017-10-19130Hershey Bears1Adirondack Phantoms0LSommaire du Match
21 - 2017-10-21141Adirondack Phantoms2Binghampton Senateurs3LXSommaire du Match
22 - 2017-10-22149Adirondack Phantoms2Peoria Rivermen1WSommaire du Match
23 - 2017-10-23167St-John Ice Caps2Adirondack Phantoms4WSommaire du Match
28 - 2017-10-28193Manchester Monarchs1Adirondack Phantoms3WSommaire du Match
29 - 2017-10-29197Adirondack Phantoms4Portland Pirates3WXXSommaire du Match
31 - 2017-10-31221Manchester Monarchs1Adirondack Phantoms9WSommaire du Match
33 - 2017-11-02234Adirondack Phantoms3Albany Devils1WSommaire du Match
34 - 2017-11-03251Oklahoma City Barons0Adirondack Phantoms5WSommaire du Match
36 - 2017-11-05264Adirondack Phantoms2Hershey Bears3LSommaire du Match
39 - 2017-11-08280Portland Pirates2Adirondack Phantoms1LSommaire du Match
40 - 2017-11-09295Adirondack Phantoms1Abbotsford Heat0WSommaire du Match
42 - 2017-11-11312Springfield Falcons0Adirondack Phantoms2WSommaire du Match
43 - 2017-11-12325Adirondack Phantoms1Milwaukee Admirals3LSommaire du Match
45 - 2017-11-14339Abbotsford Heat0Adirondack Phantoms5WSommaire du Match
47 - 2017-11-16358Adirondack Phantoms1Peoria Rivermen2LXSommaire du Match
48 - 2017-11-17370Connecticut Whale2Adirondack Phantoms10WSommaire du Match
50 - 2017-11-19377Adirondack Phantoms1Chicago Wolves2LXSommaire du Match
53 - 2017-11-22400Syracuse Crunch0Adirondack Phantoms2WSommaire du Match
54 - 2017-11-23418Adirondack Phantoms6Grand Rapids Griffins1WSommaire du Match
57 - 2017-11-26425Adirondack Phantoms1Wilkes-Barre Penguins4LSommaire du Match
58 - 2017-11-27440Bridgeport Sound Tigers2Adirondack Phantoms3WSommaire du Match
60 - 2017-11-29461Milwaukee Admirals4Adirondack Phantoms1LSommaire du Match
62 - 2017-12-01481Adirondack Phantoms0Providence Bruins1LSommaire du Match
63 - 2017-12-02492Rockford IceHogs0Adirondack Phantoms2WSommaire du Match
66 - 2017-12-05512Adirondack Phantoms1Bridgeport Sound Tigers2LXXSommaire du Match
69 - 2017-12-08523Hamilton Bulldogs3Adirondack Phantoms2LXXSommaire du Match
71 - 2017-12-10545Adirondack Phantoms4Charlotte Checkers0WSommaire du Match
73 - 2017-12-12554Adirondack Phantoms2Toronto Marlies3LSommaire du Match
74 - 2017-12-13562Providence Bruins2Adirondack Phantoms4WSommaire du Match
76 - 2017-12-15583Adirondack Phantoms5San Antonio Rampage2WSommaire du Match
77 - 2017-12-16589Texas Stars2Adirondack Phantoms1LSommaire du Match
81 - 2017-12-20605Adirondack Phantoms3Portland Pirates2WSommaire du Match
83 - 2017-12-22621Hershey Bears2Adirondack Phantoms3WXSommaire du Match
85 - 2017-12-24623Adirondack Phantoms0Hamilton Bulldogs1LSommaire du Match
88 - 2017-12-27640Adirondack Phantoms2Texas Stars0WSommaire du Match
89 - 2017-12-28651Adirondack Phantoms2Syracuse Crunch1WSommaire du Match
90 - 2017-12-29658Peoria Rivermen1Adirondack Phantoms4WSommaire du Match
93 - 2018-01-01682Grand Rapids Griffins2Adirondack Phantoms4WSommaire du Match
95 - 2018-01-03703Adirondack Phantoms8Norfolk Admirals2WSommaire du Match
96 - 2018-01-04712Albany Devils2Adirondack Phantoms3WSommaire du Match
98 - 2018-01-06723Adirondack Phantoms1Binghampton Senateurs0WXSommaire du Match
100 - 2018-01-08735Adirondack Phantoms2Worchester Sharks1WXSommaire du Match
101 - 2018-01-09745Connecticut Whale0Adirondack Phantoms6WSommaire du Match
104 - 2018-01-12765Adirondack Phantoms0Oklahoma City Barons2LSommaire du Match
105 - 2018-01-13775Norfolk Admirals1Adirondack Phantoms6WSommaire du Match
106 - 2018-01-14790Adirondack Phantoms2Springfield Falcons4LSommaire du Match
108 - 2018-01-16805Binghampton Senateurs3Adirondack Phantoms4WSommaire du Match
111 - 2018-01-19827Houston Aeros1Adirondack Phantoms4WSommaire du Match
114 - 2018-01-22846Adirondack Phantoms7Connecticut Whale1WSommaire du Match
115 - 2018-01-23857Adirondack Phantoms3Hershey Bears1WSommaire du Match
116 - 2018-01-24867Charlotte Checkers0Adirondack Phantoms8WSommaire du Match
119 - 2018-01-27890Adirondack Phantoms5Wilkes-Barre Penguins3WSommaire du Match
120 - 2018-01-28896Lake Erie Monsters0Adirondack Phantoms8WSommaire du Match
121 - 2018-01-29910Adirondack Phantoms3St-John Ice Caps6LSommaire du Match
123 - 2018-01-31924Chicago Wolves3Adirondack Phantoms0LSommaire du Match
125 - 2018-02-02952St-John Ice Caps0Adirondack Phantoms6WSommaire du Match
126 - 2018-02-03955Adirondack Phantoms2Worchester Sharks1WSommaire du Match
131 - 2018-02-08977Providence Bruins1Adirondack Phantoms3WSommaire du Match
133 - 2018-02-10994Adirondack Phantoms-Albany Devils-
135 - 2018-02-121007Adirondack Phantoms-Rockford IceHogs-
137 - 2018-02-141016San Antonio Rampage-Adirondack Phantoms-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
141 - 2018-02-181035Adirondack Phantoms-Springfield Falcons-
142 - 2018-02-191045Toronto Marlies-Adirondack Phantoms-
144 - 2018-02-211072San Antonio Rampage-Adirondack Phantoms-
146 - 2018-02-231086Adirondack Phantoms-Rochester Americans-
147 - 2018-02-241100Rochester Americans-Adirondack Phantoms-
150 - 2018-02-271120Adirondack Phantoms-Manchester Monarchs-
152 - 2018-03-011130Adirondack Phantoms-Houston Aeros-
153 - 2018-03-021138Syracuse Crunch-Adirondack Phantoms-
155 - 2018-03-041159Adirondack Phantoms-Lake Erie Monsters-
158 - 2018-03-071168Worchester Sharks-Adirondack Phantoms-
163 - 2018-03-121198Bridgeport Sound Tigers-Adirondack Phantoms-
168 - 2018-03-171228Wilkes-Barre Penguins-Adirondack Phantoms-



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
8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
168,805$ 108,000$ 134,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 91,259$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 38 1,231$ 46,778$




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
126742150341221810211633255011011344193341710023118461239821839761501680656961982604674696201304377128715194285913.79%5004291.60%71398225362.05%1110187359.26%61297462.83%189313541356465802432
Total Saison Régulière6742150341221810211633255011011344193341710023118461239821839761501680656961982604674696201304377128715194285913.79%5004291.60%71398225362.05%1110187359.26%61297462.83%189313541356465802432