Adirondack Phantoms

GP: 82 | W: 56 | L: 19 | OTL: 7 | P: 119
GF: 260 | GA: 123 | PP%: 14.31% | PK%: 91.38%
DG: Kriss Cardenas | Morale : 84 | 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 TambelliniXX100.0067646664647268607558586255505018800
2Brandon MashinterX100.0054806368806764605052626659515218800
3Rene BourqueXX100.0083507773857775705059686350788018000
4Colin McDonaldXX100.0064796567796966625053647161596018900
5Marco Roy (R)X100.0072676762675660506350506150505012700
6Chris ThorburnXX100.0086505869865068555052577050798018800
7Landon FerraroXX100.0069687970686262637959626659535418800
8Tomas JurcoXX100.0060506383725660635050566150616216800
9Paul BissonnetteXX100.0058795561925159505050506150626312900
10Iiro PakarinenXX100.0059506379785261575062666150565618800
11Jacob De La RoseXX100.0087777979778773597454586755515218100
12Scott KosmachukXX100.0063677760677067595056576154505018800
13Mike BlundenX100.0052817768817268585050586955585913000
14Andrew CampbellX100.0062786968786973502550506350505018800
15Matt TennysonX100.0063507270766262552561606250565618800
16Cameron GaunceX100.0070507667776477602555507750707012000
17Yohann Auvitu (R)X100.0055507578716574742561616550505018800
18Jakub KindlX100.0062506972746974592558556650676818400
19Griffin ReinhartX100.0089816968877074522560556550685018800
Rayé
1Alex FriesenX100.0062656960657068506050505850505012000
2Bryce Van BrabantX100.0059765762765660505050505750505011900
3Adam ComrieX100.0065846562725965512550506650505016300
4Chris CarlisleX100.0054626664626971502550505750505015800
5Patrick McNallyX100.0057696762696066502550506050505016300
6Mattias BackmanX100.0056696369696468502550506050505015800
7Brian Cooper (R)X100.0058696862695860502550506050505012000
MOYENNE D'ÉQUIPE100.006566686875646756435456645257561650
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 Lack100.007571707680666572797396797718300
2Mike McKenna100.006480857865676469636331706918800
Rayé
1Frank Palazzese (R)100.005976616967726968676946676614400
MOYENNE D'ÉQUIPE100.00667672747168667070685872711720
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 BourqueAdirondack Phantoms (Phi)LW/RW733636724780014817528591212.63%13177424.3111819823661121345711056.23%112400000.81140008114
2Colin McDonaldAdirondack Phantoms (Phi)LW/RW8230396939651552139261134011.49%12158719.35816248338422492874256.39%30500020.8701201455
3Yohann AuvituAdirondack Phantoms (Phi)D821749664250080731809309.44%71171220.89715221193790447431410.00%000010.7700000365
4Tomas JurcoAdirondack Phantoms (Phi)LW/RW65243963371604910718352113.11%11115517.77611173724600051445251.85%16200001.0901000461
5Landon FerraroAdirondack Phantoms (Phi)C/RW82243761433354515420562911.71%8148418.10611174338711272127266.60%106900000.8202001544
6Jacob De La RoseAdirondack Phantoms (Phi)C/LW7018426039125151721681807610.00%9163023.297121957354000144404066.19%139600000.7413102468
7Chris ThorburnAdirondack Phantoms (Phi)LW/RW822237594414402176915171814.57%7143817.55411153737310121722162.02%12900000.8202000176
8Adam TambelliniAdirondack Phantoms (Phi)C/LW821628443274010114115392310.46%4125915.356814372570001634163.06%124000000.7000000117
9Iiro PakarinenAdirondack Phantoms (Phi)LW/RW82202343295206792199143510.05%6123015.017613522300002413260.00%11000100.7000000323
10Matt TennysonAdirondack Phantoms (Phi)D826364243102011844794127.59%55145817.7821214492740222287210.00%000000.5800000321
11Jakub KindlAdirondack Phantoms (Phi)D75832402853545761187176.78%75170322.7171118873780115413310.00%000000.4700100104
12Griffin ReinhartAdirondack Phantoms (Phi)D829314031218402965410010169.00%67182522.2631619644081014415200.00%000100.4400214142
13Brandon MashinterAdirondack Phantoms (Phi)LW8222143631672564114169113113.02%10110513.490007350005972057.06%35400000.6511203340
14Scott KosmachukAdirondack Phantoms (Phi)LW/RW821215272449566801297149.30%5106713.021125441013482153.93%8900000.5101001432
15Andrew CampbellAdirondack Phantoms (Phi)D824192345108101044346288.70%45122414.930441711901121762025.00%400000.3800101100
16Adam ComrieAdirondack Phantoms (Phi)D623101323121359129150020.00%2868211.01000013000049000.00%000000.3800034010
17Robert BortuzzoPhiladelphie FlyersD74110115540703528113.57%155747.770000400003000.00%000000.3800000000
18Cameron GaunceAdirondack Phantoms (Phi)D1754941201812313716.13%1638622.7251622660000109210.00%000000.4700000200
19Mattias BackmanAdirondack Phantoms (Phi)D470889340551216000.00%83677.83000170110140028.57%700000.4300000000
20Marco RoyAdirondack Phantoms (Phi)C2534782802719254912.00%02198.7900000000000260.56%18000000.6400000101
21Mike BlundenAdirondack Phantoms (Phi)LW23145-51010923386142.63%433914.780005490001320052.83%5300000.2900101000
22Bryce Van BrabantAdirondack Phantoms (Phi)LW101233207350020.00%1575.7200017000080125.00%400001.0500000000
23Paul BissonnetteAdirondack Phantoms (Phi)LW/RW340222551512910120.00%61765.19000180000140050.00%1800000.2300012000
24Alex FriesenAdirondack Phantoms (Phi)C7011120614000.00%0436.2000005000130048.28%2900000.4600000000
25Chris CarlisleAdirondack Phantoms (Phi)D4801172401877230.00%83156.5800007000012000.00%000000.0600000000
26Patrick McNallyAdirondack Phantoms (Phi)D52101520016782012.50%92424.67000420000051000.00%300000.0800000010
27Brian CooperAdirondack Phantoms (Phi)D22000000410000.00%4552.5100009000023000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1606283523806616159818019571687262513934810.78%4972512015.6480143223810444171320834016591861.59%627700230.6431510520496353
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)76531670.9241.46451861711014550200.53315761746
2Mike McKennaAdirondack Phantoms (Phi)83200.9301.293732181150000.0000575002
Stats d'équipe Total ou en Moyenne84561870.9251.45489281811815700200.533158176748


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
1Abbotsford Heat22000000606110000005051100000010141.000611170296778367274981083823268246119210.53%110100.00%01695273262.04%1368228659.84%744116463.92%230216431674573979526
2Albany Devils32100000642110000003212110000032140.667681400967783652749810838236014667120420.00%32293.75%01695273262.04%1368228659.84%744116463.92%230216431674573979526
3Binghampton Senateurs41001200880210001005502000110033060.75081523019677836113749810838237921788424520.83%33390.91%01695273262.04%1368228659.84%744116463.92%230216431674573979526
4Bridgeport Sound Tigers3110000157-22110000045-11000000112-130.50059140096778367774981083823702159642428.33%27388.89%01695273262.04%1368228659.84%744116463.92%230216431674573979526
5Charlotte Checkers2200000012012110000008081100000040441.0001223350296778368674981083823189224110330.00%110100.00%01695273262.04%1368228659.84%744116463.92%230216431674573979526
6Chicago Wolves2010010015-41010000003-31000010012-110.2501230096778364974981083823371432442015.00%15286.67%01695273262.04%1368228659.84%744116463.92%230216431674573979526
7Connecticut Whale330000002332022000000162141100000071661.00023456801967783617174981083823537325610550.00%150100.00%11695273262.04%1368228659.84%744116463.92%230216431674573979526
8Grand Rapids Griffins220000001037110000004221100000061541.0001018280096778365674981083823411529439222.22%10190.00%01695273262.04%1368228659.84%744116463.92%230216431674573979526
9Hamilton Bulldogs3110000145-11000000123-12110000022030.50047110096778368774981083823552159722613.85%26292.31%01695273262.04%1368228659.84%744116463.92%230216431674573979526
10Hershey Bears41201000871201010003302110000054140.50081422009677836128749810838237418709330310.00%26388.46%11695273262.04%1368228659.84%744116463.92%230216431674573979526
11Houston Aeros22000000826110000004131100000041341.000816240096778365874981083823601724477228.57%12283.33%01695273262.04%1368228659.84%744116463.92%230216431674573979526
12Lake Erie Monsters2200000014113110000008081100000061541.000142741019677836877498108382331625416116.67%100100.00%01695273262.04%1368228659.84%744116463.92%230216431674573979526
13Manchester Monarchs330000001721522000000122101100000050561.000173249019677836135749810838234513467116531.25%16193.75%01695273262.04%1368228659.84%744116463.92%230216431674573979526
14Milwaukee Admirals2020000027-51010000014-31010000013-200.0002350096778364974981083823531165591300.00%16381.25%01695273262.04%1368228659.84%744116463.92%230216431674573979526
15Norfolk Admirals5500000034430440000002622411000000826101.0003461950296778362287498108382394119911720210.00%280100.00%31695273262.04%1368228659.84%744116463.92%230216431674573979526
16Oklahoma City Barons21100000523110000005051010000002-220.500591401967783640749810838234319444711218.18%17194.12%01695273262.04%1368228659.84%744116463.92%230216431674573979526
17Peoria Rivermen32000100743110000004132100010033050.8337132000967783690749810838233717445924416.67%18288.89%01695273262.04%1368228659.84%744116463.92%230216431674573979526
18Portland Pirates311000108711010000012-12100001075240.667813210096778366874981083823762072811616.25%26484.62%01695273262.04%1368228659.84%744116463.92%230216431674573979526
19Providence Bruins32100000743220000007341010000001-140.6677142100967783658749810838237327536024520.83%23195.65%01695273262.04%1368228659.84%744116463.92%230216431674573979526
20Rochester Americans21100000422110000003031010000012-120.50047110196778362874981083823281330371417.14%15286.67%01695273262.04%1368228659.84%744116463.92%230216431674573979526
21Rockford IceHogs22000000413110000002021100000021141.000481201967783650749810838233712305014428.57%14192.86%01695273262.04%1368228659.84%744116463.92%230216431674573979526
22San Antonio Rampage33000000945220000004221100000052361.0009182700967783695749810838237519567614321.43%27388.89%01695273262.04%1368228659.84%744116463.92%230216431674573979526
23Springfield Falcons431000001174110000002023210000097260.750111829019677836697498108382389341059325416.00%42295.24%01695273262.04%1368228659.84%744116463.92%230216431674573979526
24St-John Ice Caps3210000013852200000010281010000036-340.6671324370196778367174981083823672076591119.09%20480.00%01695273262.04%1368228659.84%744116463.92%230216431674573979526
25Syracuse Crunch32100000431211000002201100000021140.66747110196778366474981083823441436612414.17%17194.12%11695273262.04%1368228659.84%744116463.92%230216431674573979526
26Texas Stars211000003211010000012-11100000020220.500358019677836367498108382334143838600.00%19194.74%01695273262.04%1368228659.84%744116463.92%230216431674573979526
27Toronto Marlies211000001064110000008351010000023-120.5001020300096778369174981083823309574313430.77%9366.67%01695273262.04%1368228659.84%744116463.92%230216431674573979526
Total82521903413260123137413070110215455994122120231110668381190.72626047773701896778362406749810838231588471152718375177414.31%6035291.38%71695273262.04%1368228659.84%744116463.92%230216431674573979526
29Wilkes-Barre Penguins32100000880110000002112110000067-140.667814220096778367074981083823621965602229.09%30293.33%01695273262.04%1368228659.84%744116463.92%230216431674573979526
30Worchester Sharks521010019721000000123-14210100074370.70091625019677836128749810838239728911094548.89%38392.11%11695273262.04%1368228659.84%744116463.92%230216431674573979526
_Since Last GM Reset82521903413260123137413070110215455994122120231110668381190.72626047773701896778362406749810838231588471152718375177414.31%6035291.38%71695273262.04%1368228659.84%744116463.92%230216431674573979526
_Vs Conference49301103212161798225184011019534612412702111664521720.73516129045109967783614327498108382398326794810793114414.15%3732992.23%71695273262.04%1368228659.84%744116463.92%230216431674573979526
_Vs Division22930000156352112510000035201510420000121156190.43256106162039677836592749810838234251393984761482214.86%1601690.00%11695273262.04%1368228659.84%744116463.92%230216431674573979526

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82119W12604777372406158847115271837018
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8252193413260123
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41307110215455
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412212231110668
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
5177414.31%6035291.38%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
749810838239677836
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
1695273262.04%1368228659.84%744116463.92%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
230216431674573979526


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 Phantoms0Albany Devils1LSommaire du Match
135 - 2018-02-121007Adirondack Phantoms2Rockford IceHogs1WSommaire du Match
137 - 2018-02-141016San Antonio Rampage1Adirondack Phantoms2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
141 - 2018-02-181035Adirondack Phantoms4Springfield Falcons1WSommaire du Match
142 - 2018-02-191045Toronto Marlies3Adirondack Phantoms8WSommaire du Match
144 - 2018-02-211072San Antonio Rampage1Adirondack Phantoms2WSommaire du Match
146 - 2018-02-231086Adirondack Phantoms1Rochester Americans2LSommaire du Match
147 - 2018-02-241100Rochester Americans0Adirondack Phantoms3WSommaire du Match
150 - 2018-02-271120Adirondack Phantoms5Manchester Monarchs0WSommaire du Match
152 - 2018-03-011130Adirondack Phantoms4Houston Aeros1WSommaire du Match
153 - 2018-03-021138Syracuse Crunch2Adirondack Phantoms0LSommaire du Match
155 - 2018-03-041159Adirondack Phantoms6Lake Erie Monsters1WSommaire du Match
158 - 2018-03-071168Worchester Sharks3Adirondack Phantoms2LXXSommaire du Match
163 - 2018-03-121198Bridgeport Sound Tigers3Adirondack Phantoms1LSommaire du Match
168 - 2018-03-171228Wilkes-Barre Penguins1Adirondack Phantoms2WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
218,614$ 133,000$ 166,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 118,589$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 1,379$ 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
12825219034132601231374130701102154559941221202311106683811926047773701896778362406749810838231588471152718375177414.31%6035291.38%71695273262.04%1368228659.84%744116463.92%230216431674573979526
Total Saison Régulière825219034132601231374130701102154559941221202311106683811926047773701896778362406749810838231588471152718375177414.31%6035291.38%71695273262.04%1368228659.84%744116463.92%230216431674573979526