Adirondack Phantoms
GP: 63 | W: 25 | L: 32 | OTL: 6 | P: 56
GF: 180 | GA: 229 | PP%: 17.01% | PK%: 81.02%
DG: Mathieu Veilleux | Morale : 54 | Moyenne d'Équipe : N/A
Prochain matchs #1064 vs Chisinau Pelicans
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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
1Alexis LafrenièreXX100.0079408382808281846572746676728085000
2Mike WintherX100.00723784887380757776726966777778705000
3Jens Lööke (R)XX100.0066319179778278766569686870706845000
4Michael ParksX100.00813680788183837464696969787676705000
5Kyle OkposoX100.0075347872787474756269706778999915000
6Trevor Zegras (R)X100.0076447781748586817475716682686495000
7Peter MuellerXX100.0064308578727373797669696485999315000
8Fredrik Karlström (R)X100.0068259278818179797672736780686465000
9Drew ShoreXX100.00643090788183847978717265789292705000
10Zach BudishXX100.00864375758476757468696967728886705000
11Alexis LoiseauX100.00743879827675727974727167747578705000
12Byron FroeseX100.0074358374817979747569677370747515000
13Keegan Kolesar (R)X100.0088487474907779776768716570707055000
14Corey SchuenemanX100.00784577747880807750696381557176705000
15Daniel BrickleyX100.0091437374868279765074698762697155000
16Kirill Kirsanov (R)X100.0077408574798180745071608360677265000
17Jordie BennX100.0078467468747171715266638463868815000
18Teemu EronenX100.0070408376757771775071658468888915000
19Brian LashoffX100.0088487568847475755270658657888815000
20Chris Martenet (R)X100.0093477070917569695065638658706835000
Rayé
1Gerald MayhewXX71.2573437076728178787571736678798015000
2Brendan RanfordXX100.0064329083788585797371716779949415000
3Alexandre MalletXXX100.00783581757875747575686866707678705000
4Radovan Bondra (R)XX100.0088487073857572736567666966676535000
MOYENNE D'ÉQUIPE98.7977398076807977766570687271787923500
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
1Anthony Brodeur100.008579817985818080818181575745000
2Jakub Kovar99.008486838687828483848689686715000
Rayé
MOYENNE D'ÉQUIPE99.50858382838682828283848563623500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Daniel Brière73768882787770CAN4431,200,000$


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'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Alexis LafrenièreAdirondack Phantoms (PHI)LW/RW60354075-524097672368814614.83%14135422.5712122465189033112344147.37%36114017021.1113000812
2Drew ShoreAdirondack Phantoms (PHI)C/RW63244064-26035661437011616.78%28131220.84218202720041592454253.73%10598718000.9814000235
3Peter MuellerAdirondack Phantoms (PHI)LW/RW63153045-111005339146469510.27%19115118.288614362030002611058.33%606911000.7801000401
4Fredrik KarlströmAdirondack Phantoms (PHI)C63211435-17203547127446516.54%33104716.63011318000034246.53%3036230000.6701000314
5Brian LashoffAdirondack Phantoms (PHI)D6362329-2358014814910741545.61%151161225.59257212171013200200.00%0494000.3600000110
6Kyle OkposoAdirondack Phantoms (PHI)RW6381725-12360495311035987.27%2691314.50000061013290138.89%543815000.5501000020
7Jens LöökeAdirondack Phantoms (PHI)LW/RW6341721-2360455314139742.84%17105516.76257291690112260035.56%457714000.4000000000
8Gerald MayhewAdirondack Phantoms (PHI)C/RW4713821-4220512286365815.12%748110.2400000000023245.00%280526000.8700000311
9Mike WintherAdirondack Phantoms (PHI)C5671320-1860635413439885.22%1790016.08257201361017630050.82%61210611000.4411000020
10Michael ParksAdirondack Phantoms (PHI)RW6391019-29220975012947856.98%17103416.4334735187000111052.27%447612000.3701000001
11Teemu EronenAdirondack Phantoms (PHI)D4941317-14120471368434384.76%99121924.90369271720112155100.00%0865000.2800000010
12Daniel BrickleyAdirondack Phantoms (PHI)D2621214-326041563816195.26%4557622.181341169011174100.00%0839000.4900000001
13Alexis LoiseauAdirondack Phantoms (PHI)C637714-514034369728677.22%64997.93112530000000450.93%324704000.5600000021
14Alexandre MalletAdirondack Phantoms (PHI)C/LW/RW4221012-58043285223493.85%651912.3600000000000054.55%22258000.4600000010
15Corey SchuenemanAdirondack Phantoms (PHI)D4111011-1720035764216282.38%5575418.40022882000189000.00%0227000.2900000000
16Zach BudishAdirondack Phantoms (PHI)C/RW634711-1328069355821446.90%867810.7700000000000052.17%693018000.3200000001
17Chris MartenetAdirondack Phantoms (PHI)D583710-245801051226535324.62%95111019.15213121430000101000.00%0554000.1800000001
18Kirill KirsanovAdirondack Phantoms (PHI)D52279-216040967131352.82%7288016.93202453000251000.00%0346000.2000000002
19Jordie BennAdirondack Phantoms (PHI)D34459-6120287232121012.50%5150514.88101232000030100.00%0436000.3600000010
20Reid BoucherPhiladelphia FlyersLW/RW15459-40018166119426.56%334723.1832511460001570050.98%102398000.5200000000
21Radovan BondraAdirondack Phantoms (PHI)LW/RW56347-843556395613275.36%125099.0900000000000042.86%211512000.2700001000
22Trevor ZegrasAdirondack Phantoms (PHI)C2303-1004293333.33%44422.0220253000080052.38%4251001.3600000001
23Markus NiemelainenPhiladelphia FlyersD24033-38035642417160.00%3049520.65011466011059000.00%0324000.1200000000
24Keegan KolesarAdirondack Phantoms (PHI)RW63213180106237208.70%21792.85000000110321050.00%20100000.3300000100
25Brendan RanfordAdirondack Phantoms (PHI)LW/RW411200066521020.00%18120.500112170000180039.39%3390000.4900000010
26Byron FroeseAdirondack Phantoms (PHI)C61000-600719120.00%2681.13000210000150061.11%1851000.0000000000
Stats d'équipe Total ou en Moyenne1257184304488-254445512511391208576313218.82%8201933615.38467311932920577916461553231250.25%3469952571020.50312001221721
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
1Jakub KovarAdirondack Phantoms (PHI)63253160.8913.393483211971801981100.69213630553
2Anthony BrodeurAdirondack Phantoms (PHI)110100.8015.56324003015182000.0000063000
Stats d'équipe Total ou en Moyenne74253260.8843.5838072122719521063100.692136363553


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexandre MalletAdirondack Phantoms (PHI)C/LW/RW301991-01-22 04:34:51No195 Lbs6 ft1YesNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Alexis LafrenièreAdirondack Phantoms (PHI)LW/RW212000-01-02 10:49:47No192 Lbs6 ft1NoNoNo2Pro & Farm950,000$228,796$950,000$228,796$0$0$No950,000$
Alexis LoiseauAdirondack Phantoms (PHI)C281993-01-22 16:01:11No179 Lbs6 ft1YesNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Anthony BrodeurAdirondack Phantoms (PHI)G271994-01-22 07:21:10No194 Lbs5 ft10NoNoNo1Pro & Farm800,000$192,670$800,000$192,670$0$0$No
Brendan RanfordAdirondack Phantoms (PHI)LW/RW301991-01-22 05:25:43No182 Lbs5 ft11NoNoNo1Pro & Farm800,000$192,670$800,000$192,670$0$0$No
Brian LashoffAdirondack Phantoms (PHI)D321989-01-22 04:09:40No208 Lbs6 ft3NoNoNo1Pro & Farm750,000$180,628$750,000$180,628$0$0$No
Byron FroeseAdirondack Phantoms (PHI)C311990-01-22 02:07:30No198 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No
Chris MartenetAdirondack Phantoms (PHI)D261995-01-22 01:57:24Yes216 Lbs6 ft7NoNoNo3Pro & Farm900,000$216,754$900,000$216,754$0$0$No900,000$900,000$
Corey SchuenemanAdirondack Phantoms (PHI)D271994-01-02 12:50:09No201 Lbs6 ft0NoNoNo1Pro & Farm750,000$180,628$750,000$180,628$0$0$No
Daniel BrickleyAdirondack Phantoms (PHI)D271994-01-22 11:12:14No205 Lbs6 ft3NoNoNo3Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No1,500,000$1,500,000$
Drew ShoreAdirondack Phantoms (PHI)C/RW311990-01-22 15:55:26No190 Lbs6 ft2YesNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Fredrik KarlströmAdirondack Phantoms (PHI)C241997-01-02 05:22:47Yes196 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No
Gerald Mayhew (Sur la Masse Salariale)Adirondack Phantoms (PHI)C/RW301991-01-02 10:23:04No170 Lbs5 ft10NoNoNo1Pro & Farm1,770,000$426,283$1,770,000$426,283$0$0$Yes
Jakub KovarAdirondack Phantoms (PHI)G341987-01-22 02:33:31No201 Lbs6 ft1YesNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Jens LöökeAdirondack Phantoms (PHI)LW/RW251996-01-02 05:01:44Yes183 Lbs6 ft0NoNoNo1Pro & Farm750,000$180,628$750,000$180,628$0$0$No
Jordie BennAdirondack Phantoms (PHI)D351986-01-22 13:40:58No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$180,628$750,000$180,628$0$0$No
Keegan KolesarAdirondack Phantoms (PHI)RW251996-01-22 03:29:26Yes227 Lbs6 ft2NoNoNo1Pro & Farm950,000$228,796$950,000$228,796$0$0$No
Kirill KirsanovAdirondack Phantoms (PHI)D202001-01-02 01:14:35Yes198 Lbs6 ft1NoNoNo3Pro & Farm850,000$204,712$850,000$204,712$0$0$No850,000$850,000$
Kyle OkposoAdirondack Phantoms (PHI)RW341987-01-22 00:29:38No210 Lbs6 ft0NoNoNo1Pro & Farm750,000$180,628$750,000$180,628$0$0$No
Michael ParksAdirondack Phantoms (PHI)RW301991-01-22 10:15:43No196 Lbs6 ft0YesNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Mike WintherAdirondack Phantoms (PHI)C281993-01-22 07:52:34No170 Lbs5 ft11YesNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Peter MuellerAdirondack Phantoms (PHI)LW/RW341987-01-22 09:55:31No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$180,628$750,000$180,628$0$0$No
Radovan BondraAdirondack Phantoms (PHI)LW/RW251996-01-22 10:25:16Yes216 Lbs6 ft5NoNoNo1Pro & Farm700,000$168,586$700,000$168,586$0$0$No
Teemu EronenAdirondack Phantoms (PHI)D321989-01-22 20:03:05No180 Lbs5 ft10NoNoNo1Pro & Farm1,950,000$469,634$1,950,000$469,634$0$0$No
Trevor ZegrasAdirondack Phantoms (PHI)C212000-01-02 00:35:15Yes170 Lbs6 ft0NoNoNo2Pro & Farm950,000$228,796$950,000$228,796$0$0$No950,000$
Zach BudishAdirondack Phantoms (PHI)C/RW311990-01-22 06:02:20No214 Lbs6 ft3YesNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2628.38196 Lbs6 ft11.58918,077$



Attaque à 5 contre 5
Ligne # Ailier Gauche Centre Ailier Droit
1Alexis LafrenièreTrevor ZegrasPeter Mueller
2Jens LöökeMike WintherMichael Parks
3Zach BudishAlexis LoiseauKyle Okposo
4Alexis LafrenièreFredrik KarlströmZach Budish
Défense à 5 contre 5
Ligne # Défense Défense
1Brian LashoffTeemu Eronen
2Corey SchuenemanChris Martenet
3Kirill KirsanovFredrik Karlström
4Brian LashoffTeemu Eronen
Attaque en Avantage Numérique
Ligne # Ailier Gauche Centre Ailier Droit
1Alexis LafrenièreTrevor ZegrasPeter Mueller
2Jens LöökeMike WintherMichael Parks
Défense en Avantage Numérique
Ligne # Défense Défense
1Brian LashoffTeemu Eronen
2Corey SchuenemanChris Martenet
Attaque à 4 en Désavantage Numérique
Ligne # Centre Ailier
1Alexis LafrenièreTrevor Zegras
2Mike WintherPeter Mueller
Défense à 4 en Désavantage Numérique
Ligne # Défense Défense
1Brian LashoffTeemu Eronen
2Corey SchuenemanChris Martenet
3 joueurs en Désavantage Numérique
Ligne # Ailier Défense Défense
1Alexis LafrenièreBrian LashoffTeemu Eronen
2Drew ShoreCorey SchuenemanChris Martenet
Attaque à 4 contre 4
Ligne # Centre Ailier
1Trevor ZegrasAlexis Lafrenière
2Mike WintherPeter Mueller
Défense à 4 contre 4
Ligne # Défense Défense
1Brian LashoffTeemu Eronen
2Corey SchuenemanChris Martenet
Attaque Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Alexis LafrenièreTrevor ZegrasPeter MuellerBrian LashoffTeemu Eronen
Défense Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Alexis LafrenièreTrevor ZegrasPeter MuellerBrian LashoffTeemu Eronen
Attaquants Supplémentaires
Normal Avantage Numérique Désavantage Numérique
Trevor Zegras, Byron Froese, Keegan KolesarAlexis Loiseau, Byron FroeseKeegan Kolesar
Défenseurs Supplémentaires
Normal Avantage Numérique Désavantage Numérique
Brian Lashoff, Corey Schueneman, Chris MartenetTeemu EronenCorey Schueneman, Chris Martenet
Tirs de Pénalité
Alexis Lafrenière, Trevor Zegras, Mike Winther, Peter Mueller, Michael Parks
Gardien
#1 : Jakub Kovar, #2 : Anthony Brodeur
Lignes d'Attaque Perso. en Prol.
Alexis Lafrenière, Trevor Zegras, Mike Winther, Peter Mueller, Michael Parks, Kyle Okposo, Kyle Okposo, Byron Froese, Fredrik Karlström, Zach Budish, Alexis Loiseau
Lignes de Défense Perso. en Prol.
Brian Lashoff, Teemu Eronen, Corey Schueneman, Chris Martenet, Kirill Kirsanov


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 Devils63200010251783200001017893120000089-180.66725396400605461618760069569124178743212123626.09%16381.25%1672129951.73%602121149.71%41782950.30%14179071438517957473
2Binghamton Senators22000000743110000004311100000031241.000711180060546166960069569124593212439222.22%6183.33%0672129951.73%602121149.71%41782950.30%14179071438517957473
3Blainville-Boisbriand Armada1010000038-5000000000001010000038-500.000369006054616366006956912441128155120.00%4250.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
4Bridgeport Sound Tigers531010001596311010007612200000083580.80015254001605461615660069569124124612012113215.38%100100.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
5Charlotte Checkers30300000816-81010000056-120200000310-700.00081321006054616946006956912410556244315426.67%12283.33%0672129951.73%602121149.71%41782950.30%14179071438517957473
6Chicago Wolves1000010034-1000000000001000010034-110.50036900605461638600695691242813629400.00%30100.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
7Chisinau Pelicans1010000024-2000000000001010000024-200.00023500605461629600695691244012823300.00%40100.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
8Connecticut Whale604011001323-1030200100713-630201000610-430.25013233600605461617460069569124194874410626519.23%22959.09%1672129951.73%602121149.71%41782950.30%14179071438517957473
9Grand Rapids Griffins1010000013-2000000000001010000013-200.000112006054616336006956912429104255120.00%20100.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
10Henderson Silver Knights20200000614-81010000027-51010000047-300.000691500605461672600695691246828124210330.00%6266.67%0672129951.73%602121149.71%41782950.30%14179071438517957473
11Joliette Sportif1010000024-21010000024-20000000000000.000246006054616336006956912441101418200.00%7271.43%0672129951.73%602121149.71%41782950.30%14179071438517957473
12Lake Erie Monsters11000000312110000003120000000000021.00036900605461636600695691242582208225.00%10100.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
13Laval Chiefs10001000541000000000001000100054121.000591400605461635600695691243513810300.00%4175.00%1672129951.73%602121149.71%41782950.30%14179071438517957473
14Manitoba Moose21100000712-5110000006421010000018-720.5007101700605461656600695691246525123612216.67%6350.00%1672129951.73%602121149.71%41782950.30%14179071438517957473
15Mercer Island Hafgufa20200000713-61010000047-31010000036-300.00071118006054616696006956912465261631500.00%8362.50%0672129951.73%602121149.71%41782950.30%14179071438517957473
16Milwaukee Admirals1010000014-3000000000001010000014-300.000123006054616326006956912426101221200.00%6183.33%0672129951.73%602121149.71%41782950.30%14179071438517957473
17Norfolk Admirals1010000023-11010000023-10000000000000.00024600605461630600695691243515422500.00%2150.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
18Nunavik Natturaliit1000000123-11000000123-10000000000010.50024600605461639600695691243392306116.67%10100.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
19Oklahoma City Barons11000000312000000000001100000031221.0003580060546163560069569124251012194125.00%60100.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
20Providence Bruins404000001019-92020000069-320200000410-600.000101626006054616128600695691241205332691715.88%15193.33%1672129951.73%602121149.71%41782950.30%14179071438517957473
21Roberval Dwarfs11000000211110000002110000000000021.0002350060546162860069569124269818100.00%4175.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
22Rochester Americans2020000028-61010000016-51010000012-100.00023500605461657600695691245415104710110.00%5340.00%1672129951.73%602121149.71%41782950.30%14179071438517957473
23Rouyn-Noranda Huskies1000010023-11000010023-10000000000010.500224006054616356006956912435126142150.00%30100.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
24San Antonio Rampage422000001213-1220000009542020000038-540.5001221330060546161176006956912413355287914428.57%14285.71%0672129951.73%602121149.71%41782950.30%14179071438517957473
25Springfield Falcons531000101915443100000171431000001021180.8001930490060546161606006956912413846409919315.79%20195.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
26The Nuuk Vikings11000000211000000000001100000021121.00024600605461623600695691242515815400.00%30100.00%0672129951.73%602121149.71%41782950.30%14179071438517957473
Total63203203422180229-4932131301212105113-8317190221075116-41560.444180297477016054616199860069569124195279244112192414117.01%2164181.02%7672129951.73%602121149.71%41782950.30%14179071438517957473
28Trois-Rivières Lions20200000513-81010000026-41010000037-400.0005813006054616656006956912467292337500.00%9277.78%0672129951.73%602121149.71%41782950.30%14179071438517957473
29Verdun Junior11000000312000000000001100000031221.000358006054616346006956912433141023300.00%50100.00%1672129951.73%602121149.71%41782950.30%14179071438517957473
30Wilkes-Barre/Scranton Penguins31000101880210000015411000010034-140.6678142200605461698600695691241053324436116.67%12191.67%0672129951.73%602121149.71%41782950.30%14179071438517957473
_Since Last GM Reset63203203422180229-4932131301212105113-8317190221075116-41560.444180297477016054616199860069569124195279244112192414117.01%2164181.02%7672129951.73%602121149.71%41782950.30%14179071438517957473
_Vs Conference46142502221137171-34251011011118892-421414011104979-30390.42413722336001605461614336006956912414095843108781793318.44%1543179.87%5672129951.73%602121149.71%41782950.30%14179071438517957473
_Vs Division8912021202032-1236601110118353601010924-15271.68820345400605461626660069569124252885017041717.07%25676.00%2672129951.73%602121149.71%41782950.30%14179071438517957473

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6356L218029747719981952792441121901
Tous les Matchs
GPWLOTWOTL SOWSOL GFGA
6320323422180229
Matchs locaux
GPWLOTWOTL SOWSOL GFGA
3213131212105113
Matchs Éxtérieurs
GPWLOTWOTL SOWSOL GFGA
31719221075116
Derniers 10 Matchs
WLOTWOTL SOWSOL
350200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2414117.01%2164181.02%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
600695691246054616
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
672129951.73%602121149.71%41782950.30%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14179071438517957473


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
3 - 2022-09-0714Springfield Falcons2Adirondack Phantoms4WSommaire du Match
5 - 2022-09-0930Adirondack Phantoms3Bridgeport Sound Tigers1WSommaire du Match
7 - 2022-09-1143Connecticut Whale5Adirondack Phantoms2LSommaire du Match
8 - 2022-09-1258Adirondack Phantoms1Albany Devils4LSommaire du Match
11 - 2022-09-1581Albany Devils1Adirondack Phantoms2WXXSommaire du Match
14 - 2022-09-1899Wilkes-Barre/Scranton Penguins1Adirondack Phantoms3WSommaire du Match
16 - 2022-09-20110Adirondack Phantoms2Connecticut Whale6LSommaire du Match
20 - 2022-09-24132Adirondack Phantoms5Bridgeport Sound Tigers2WSommaire du Match
21 - 2022-09-25147Springfield Falcons6Adirondack Phantoms3LSommaire du Match
23 - 2022-09-27164Adirondack Phantoms3Wilkes-Barre/Scranton Penguins4LXSommaire du Match
25 - 2022-09-29179Bridgeport Sound Tigers0Adirondack Phantoms1WSommaire du Match
26 - 2022-09-30182Adirondack Phantoms3Providence Bruins8LSommaire du Match
30 - 2022-10-04210Adirondack Phantoms3Blainville-Boisbriand Armada8LSommaire du Match
33 - 2022-10-07222San Antonio Rampage1Adirondack Phantoms3WSommaire du Match
34 - 2022-10-08242Providence Bruins4Adirondack Phantoms2LSommaire du Match
37 - 2022-10-11264Adirondack Phantoms5Albany Devils1WSommaire du Match
38 - 2022-10-12275Binghamton Senators3Adirondack Phantoms4WSommaire du Match
41 - 2022-10-15294Adirondack Phantoms3Trois-Rivières Lions7LSommaire du Match
42 - 2022-10-16308Manitoba Moose4Adirondack Phantoms6WSommaire du Match
46 - 2022-10-20333Adirondack Phantoms5Laval Chiefs4WXSommaire du Match
47 - 2022-10-21341Trois-Rivières Lions6Adirondack Phantoms2LSommaire du Match
49 - 2022-10-23362Adirondack Phantoms3Mercer Island Hafgufa6LSommaire du Match
50 - 2022-10-24375Rochester Americans6Adirondack Phantoms1LSommaire du Match
53 - 2022-10-27392Adirondack Phantoms1Grand Rapids Griffins3LSommaire du Match
55 - 2022-10-29406Adirondack Phantoms1Milwaukee Admirals4LSommaire du Match
56 - 2022-10-30416Charlotte Checkers6Adirondack Phantoms5LSommaire du Match
59 - 2022-11-02436Adirondack Phantoms2Chisinau Pelicans4LSommaire du Match
61 - 2022-11-04448Springfield Falcons3Adirondack Phantoms5WSommaire du Match
64 - 2022-11-07469Adirondack Phantoms4Henderson Silver Knights7LSommaire du Match
65 - 2022-11-08481San Antonio Rampage4Adirondack Phantoms6WSommaire du Match
70 - 2022-11-13509Adirondack Phantoms3Chicago Wolves4LXSommaire du Match
71 - 2022-11-14517Springfield Falcons3Adirondack Phantoms5WSommaire du Match
74 - 2022-11-17537Adirondack Phantoms2The Nuuk Vikings1WSommaire du Match
76 - 2022-11-19546Providence Bruins5Adirondack Phantoms4LSommaire du Match
79 - 2022-11-22561Adirondack Phantoms1San Antonio Rampage4LSommaire du Match
80 - 2022-11-23576Adirondack Phantoms2Albany Devils4LSommaire du Match
83 - 2022-11-26587Henderson Silver Knights7Adirondack Phantoms2LSommaire du Match
85 - 2022-11-28608Mercer Island Hafgufa7Adirondack Phantoms4LSommaire du Match
86 - 2022-11-29623Adirondack Phantoms3Oklahoma City Barons1WSommaire du Match
88 - 2022-12-01637Adirondack Phantoms2Springfield Falcons1WXXSommaire du Match
90 - 2022-12-03650Roberval Dwarfs1Adirondack Phantoms2WSommaire du Match
94 - 2022-12-07679Bridgeport Sound Tigers3Adirondack Phantoms2LSommaire du Match
98 - 2022-12-11706Lake Erie Monsters1Adirondack Phantoms3WSommaire du Match
100 - 2022-12-13714Adirondack Phantoms1Rochester Americans2LSommaire du Match
102 - 2022-12-15735Bridgeport Sound Tigers3Adirondack Phantoms4WXSommaire du Match
104 - 2022-12-17747Adirondack Phantoms1Providence Bruins2LSommaire du Match
106 - 2022-12-19767Adirondack Phantoms3Verdun Junior1WSommaire du Match
109 - 2022-12-22780Wilkes-Barre/Scranton Penguins3Adirondack Phantoms2LXXSommaire du Match
112 - 2022-12-25803Norfolk Admirals3Adirondack Phantoms2LSommaire du Match
114 - 2022-12-27829Adirondack Phantoms2San Antonio Rampage4LSommaire du Match
115 - 2022-12-28836Nunavik Natturaliit3Adirondack Phantoms2LXXSommaire du Match
117 - 2022-12-30857Adirondack Phantoms1Manitoba Moose8LSommaire du Match
119 - 2023-01-01869Albany Devils4Adirondack Phantoms7WSommaire du Match
122 - 2023-01-04897Albany Devils3Adirondack Phantoms8WSommaire du Match
126 - 2023-01-08918Adirondack Phantoms3Binghamton Senators1WSommaire du Match
127 - 2023-01-09933Connecticut Whale3Adirondack Phantoms2LXSommaire du Match
130 - 2023-01-12951Adirondack Phantoms1Connecticut Whale2LSommaire du Match
131 - 2023-01-13964Adirondack Phantoms2Charlotte Checkers8LSommaire du Match
133 - 2023-01-15973Joliette Sportif4Adirondack Phantoms2LSommaire du Match
137 - 2023-01-19999Rouyn-Noranda Huskies3Adirondack Phantoms2LXSommaire du Match
139 - 2023-01-211012Adirondack Phantoms3Connecticut Whale2WXSommaire du Match
142 - 2023-01-241029Adirondack Phantoms1Charlotte Checkers2LSommaire du Match
143 - 2023-01-251038Connecticut Whale5Adirondack Phantoms3LSommaire du Match
146 - 2023-01-281064Chisinau Pelicans-Adirondack Phantoms-
149 - 2023-01-311085Adirondack Phantoms-Providence Bruins-
151 - 2023-02-021097Gatineau Olympiques-Adirondack Phantoms-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
153 - 2023-02-041113Adirondack Phantoms-Bridgeport Sound Tigers-
155 - 2023-02-061132Grand Rapids Griffins-Adirondack Phantoms-
159 - 2023-02-101161Houston Aeros-Adirondack Phantoms-
160 - 2023-02-111170Adirondack Phantoms-Houston Aeros-
163 - 2023-02-141188Adirondack Phantoms-Manitoba Moose-
164 - 2023-02-151198Chicoutimi Saguenéens-Adirondack Phantoms-
167 - 2023-02-181227Chicoutimi Saguenéens-Adirondack Phantoms-
170 - 2023-02-211251Adirondack Phantoms-Norfolk Admirals-
172 - 2023-02-231259Wilkes-Barre/Scranton Penguins-Adirondack Phantoms-
177 - 2023-02-281290Gatineau Olympiques-Adirondack Phantoms-
178 - 2023-03-011295Adirondack Phantoms-Springfield Falcons-
179 - 2023-03-021302Adirondack Phantoms-Blainville-Boisbriand Armada-
181 - 2023-03-041313Adirondack Phantoms-Bridgeport Sound Tigers-
185 - 2023-03-081325Oklahoma City Barons-Adirondack Phantoms-
186 - 2023-03-091332Adirondack Phantoms-Wilkes-Barre/Scranton Penguins-
189 - 2023-03-121351Adirondack Phantoms-Blainville-Boisbriand Armada-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets10060
Assistance59,59131,048
Assistance PCT93.11%97.03%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
9 2832 - 94.42% 244,437$7,821,980$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,575,212$ 3,785,000$ 3,785,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
19,817$ 1,661,858$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la Saison Dépenses Par JourDépenses de la Saison Éstimées
2,199,932$ 46 26,099$ 1,200,554$




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