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Connexion

Phantoms
GP: 82 | W: 29 | L: 45 | OTL: 8 | P: 66
GF: 193 | GA: 261 | PP%: 16.03% | PK%: 82.82%
DG: Frank | Morale : 50 | Moyenne d’équipe : 64
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Centre de jeu
Comets
24-53-5, 53pts
3
FINAL
1 Phantoms
29-45-8, 66pts
Team Stats
L1SéquenceW1
12-26-3Fiche domicile15-23-3
12-27-2Fiche domicile14-22-5
2-7-1Derniers 10 matchs4-5-1
2.57Buts par match 2.35
4.01Buts contre par match 3.18
15.89%Pourcentage en avantage numérique16.03%
78.57%Pourcentage en désavantage numérique82.82%
Bears
23-55-4, 50pts
2
FINAL
4 Phantoms
29-45-8, 66pts
Team Stats
L2SéquenceW1
15-24-2Fiche domicile15-23-3
8-31-2Fiche domicile14-22-5
3-6-1Derniers 10 matchs4-5-1
2.48Buts par match 2.35
4.15Buts contre par match 3.18
15.19%Pourcentage en avantage numérique16.03%
82.58%Pourcentage en désavantage numérique82.82%
Meneurs d'équipe
Justin RichardsButs
Justin Richards
34
Passes
Filip Roos
42
Justin RichardsPoints
Justin Richards
64
Brett SutterPlus/Moins
Brett Sutter
-4
Jet GreavesVictoires
Jet Greaves
21
Jon GilliesPourcentage d’arrêts
Jon Gillies
1

Statistiques d’équipe
Buts pour
193
2.35 GFG
Tirs pour
1557
18.99 Avg
Pourcentage en avantage numérique
16.0%
71 GF
Début de zone offensive
38.1%
Buts contre
261
3.18 GAA
Tirs contre
1722
21.00 Avg
Pourcentage en désavantage numérique
82.8%%
84 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralFrank
DivisionAtlantique
ConférenceEst
CapitaineBrett Sutter
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure21
Limite contact 40 / 250
Espoirs17


Historique d'équipe

Saison actuelle29-45-8 (66PTS)
Historique432-249-52 (0.589%)
Apparitions en séries éliminatoires 8
Historique en séries éliminatoires (W-L)34-30
Coupe Stanley2


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 SPÂgeContratSalaire
1Nicholas RobertsonXX100.00774299745858516856656470254646050710212796,667$
2Brett Sutter (C)XX100.00757379637368715771505865555454050670351500,000$
3Tyson Foerster (R)XX100.00737276637263646379606264594545050670203863,333$
4Justin Richards (R)XX100.00716975636977816176625662534444050670241750,000$
5C.J. Suess (R)X100.00716974666962645850545761544444050650281775,000$
6Zayde Wisdom (R)X100.00756988676959624961474661444444050620203896,667$
7Bokondji Imama (R)X100.00698042668068735050494758454444050610261750,000$
8Samuel Dove-McFallsX100.00757672667651534556384660444444050600251500,000$
9Justin BraunX100.007356888077677759254347792579800507503511,750,000$
10Filip Roos (R)X100.00714391637469696925504871254545050700232925,000$
11Mark BorowieckiX100.00847832747850535157454578376970050690331900,000$
12Emil Andrae (R)X100.00686282656258595825495360504444050670201500,000$
13Nicolas BeaudinX100.006967726667687255255441603946460506602311,105,000$
14Steven SantiniX100.00787684637675834725364065385556050660271750,000$
Rayé
1Gustav Olofsson (R)X100.00797587727552544925433963374444050650271750,000$
2Dillon Heatherington (R)X100.00788170638169754725374162394545050640272762,500$
MOYENNE D’ÉQUIPE100.0074687667726366554649496542505005066
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 SPÂgeContratSalaire
1Michael Houser (R)100.0054535473585653595857304444050580301750,000$
2Jet Greaves (R)100.0049606365495150555151304444050530212758,333$
Rayé
1Jon Gillies100.00465860894445505346473047470505102810$
MOYENNE D’ÉQUIPE100.005057597650515156525230454505054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Justin RichardsPhantoms (PHI)C/RW82343064-236001591821703212120.00%18193423.601214264134610163984057.01%141200100.66310000763
2Filip RoosPhantoms (PHI)D82104252-1642010111713937907.19%83186122.70819271123230221362100%000000.5600000014
3Tyson FoersterPhantoms (PHI)C/RW70282149-55159197152379618.42%12129718.531211235229611262133360.83%21700120.7638001624
4Nicholas RobertsonPhantoms (PHI)LW/RW57193049-13240421591244310315.32%12123621.69714212922811272432044.89%56800000.7919000243
5Bokondji ImamaPhantoms (PHI)LW82271441-2116315168113143418818.88%12135816.574376640001586247.56%8200000.6000002342
6C.J. SuessPhantoms (PHI)LW82172441-1034010312018136999.39%8151118.44610165430511232051341.96%14300000.5401000460
7Brett SutterPhantoms (PHI)C/LW82172037-45201051801525811911.18%17152418.60771448300112112221155.13%125700000.4912000223
8Emil AndraePhantoms (PHI)D8272734-198410117648025538.75%51175921.4541317483030001335000%000000.3901100023
9Nicolas BeaudinPhantoms (PHI)D8232932-16860133775122235.88%61165220.1521012372740221246000%100000.3900000021
10Zayde WisdomPhantoms (PHI)C8292231-315757516611521607.83%15142117.34268111100000763148.30%108900000.4400100112
11Gustav OlofssonPhantoms (PHI)D7712728-6721011139338123.03%64123216.0105512650110110000%000000.4500011012
12Steven SantiniPhantoms (PHI)D8232528-1813210149657121364.23%67177921.7021214473340220335100%100000.3100110111
13Mark BorowieckiPhantoms (PHI)D7151823-33217352477149194510.20%71112115.8035825129101289210%100000.4100223100
14Samuel Dove-McFallsPhantoms (PHI)C8281018-875151086473184710.96%5138216.86224182710000111250.78%38400000.2600021002
15Dillon HeatheringtonPhantoms (PHI)D6931215-191612513349355228.57%51112616.3212374100001290025.00%400000.2700211001
16Wayne SimmondsFlyersLW/RW28861467610953147143817.02%453719.194049940000871038.46%3900010.5214001100
Statistiques d’équipe totales ou en moyenne1192199357556-2361386140193715941615437105212.32%5512273619.0776133209556349161117393127261352.35%519800230.499357710283231
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
1Jet GreavesPhantoms (PHI)66213460.8593.0535412118012730110.619216122210
2Michael HouserPhantoms (PHI)2181120.8272.97115122573300100.8577210110
3Jon GilliesPhantoms (PHI)10001.00002300040000005000
Statistiques d’équipe totales ou en moyenne88294580.8533.024715432371607021288227320


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Bokondji ImamaPhantoms (PHI)LW261996-08-02Yes214 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Brett SutterPhantoms (PHI)C/LW351987-06-02No200 Lbs6 ft0NoNoNoNo1Pro & Farm500,000$0$0$No------------------Lien / Lien NHL
C.J. SuessPhantoms (PHI)LW281994-03-16Yes190 Lbs5 ft11NoNoNoNo1Pro & Farm775,000$0$0$No------------------Lien
Dillon HeatheringtonPhantoms (PHI)D271995-05-09Yes215 Lbs6 ft4NoNoNoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Emil AndraePhantoms (PHI)D202002-02-23Yes176 Lbs5 ft9NoNoNoNo1Pro & Farm500,000$0$0$No------------------
Filip RoosPhantoms (PHI)D231999-05-01Yes190 Lbs6 ft4NoNoNoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien
Gustav OlofssonPhantoms (PHI)D271994-12-01Yes200 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jet GreavesPhantoms (PHI)G212001-03-30Yes180 Lbs6 ft0NoNoNoNo2Pro & Farm758,333$0$0$No758,333$--------No--------Lien / Lien NHL
Jon GilliesPhantoms (PHI)G281994-01-21No216 Lbs6 ft5NoNoNoYes1Pro & Farm0$0$No------------------Lien / Lien NHL
Justin BraunPhantoms (PHI)D351987-02-10No205 Lbs6 ft2NoNoNoYes1Pro & Farm1,750,000$0$0$No------------------Lien / Lien NHL
Justin RichardsPhantoms (PHI)C/RW241998-03-17Yes190 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Mark BorowieckiPhantoms (PHI)D331989-07-12No204 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$0$0$No------------------Lien / Lien NHL
Michael HouserPhantoms (PHI)G301992-09-12Yes190 Lbs6 ft1NoNoNoYes1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Nicholas RobertsonPhantoms (PHI)LW/RW212001-09-11No162 Lbs5 ft9NoNoNoNo2Pro & Farm796,667$0$0$No796,667$--------No--------Lien / Lien NHL
Nicolas BeaudinPhantoms (PHI)D231999-10-07No188 Lbs5 ft11NoNoNoNo1Pro & Farm1,105,000$0$0$No------------------Lien / Lien NHL
Samuel Dove-McFallsPhantoms (PHI)C251997-04-10No207 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$0$0$No------------------Lien / Lien NHL
Steven SantiniPhantoms (PHI)D271995-03-07No205 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Tyson FoersterPhantoms (PHI)C/RW202002-01-18Yes194 Lbs6 ft2NoNoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$-------NoNo-------
Zayde WisdomPhantoms (PHI)C202002-05-20Yes195 Lbs5 ft10NoNoNoNo3Pro & Farm896,667$0$0$No896,667$896,667$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1925.95196 Lbs6 ft11.42778,026$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonJustin RichardsTyson Foerster30122
2C.J. SuessBrett SutterSamuel Dove-McFalls30122
3Bokondji ImamaZayde Wisdom20122
4Nicholas RobertsonSamuel Dove-McFallsJustin Richards20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip RoosMark Borowiecki30122
2Emil AndraeSteven Santini30122
3Nicolas Beaudin20122
4Filip Roos20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonJustin RichardsTyson Foerster60122
2C.J. SuessBrett SutterSamuel Dove-McFalls40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip RoosMark Borowiecki60122
2Emil AndraeSteven Santini40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicholas RobertsonJustin Richards60122
2Tyson FoersterBrett Sutter40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip RoosMark Borowiecki60122
2Emil AndraeSteven Santini40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nicholas Robertson60122Filip RoosMark Borowiecki60122
2Justin Richards40122Emil AndraeSteven Santini40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicholas RobertsonJustin Richards60122
2Tyson FoersterBrett Sutter40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip RoosMark Borowiecki60122
2Emil AndraeSteven Santini40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonJustin RichardsTyson FoersterFilip RoosMark Borowiecki
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas RobertsonJustin RichardsTyson FoersterFilip RoosMark Borowiecki
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zayde Wisdom, Bokondji Imama, C.J. SuessZayde Wisdom, Bokondji ImamaC.J. Suess
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Beaudin, , Nicolas Beaudin,
Tirs de pénalité
Nicholas Robertson, Justin Richards, Tyson Foerster, Brett Sutter, C.J. Suess
Gardien
#1 : Jet Greaves, #2 :


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
TotalDomicileVisiteur
# 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
1Admirals22000000725110000003121100000041341.000710170075644995751352550943267243010110.00%120100.00%11097211351.92%1047221647.25%636121752.26%1931130820246171024507
2Americans32000001862110000002022100000166050.8338142201756449965513525509436327415918527.78%140100.00%11097211351.92%1047221647.25%636121752.26%1931130820246171024507
3Barracuda2020000035-21010000023-11010000012-100.0003580075644993251352550943339283912216.67%13192.31%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
4Bears321000001293220000009541010000034-140.66712233500756449970513525509435513336820630.00%13192.31%11097211351.92%1047221647.25%636121752.26%1931130820246171024507
5Bruins30200001412-820200000310-71000000112-110.16747110075644994551352550943861949581119.09%21576.19%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
6Canucks2110000034-1110000002111010000013-220.5003690075644992851352550943264314610220.00%13192.31%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
7Checkers31200000813-51100000051420200000312-920.3338162400756449962513525509436517607217317.65%14285.71%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
8Comets40200011811-32010000136-32010001055030.375813211075644998051352550943702644532627.69%20385.00%11097211351.92%1047221647.25%636121752.26%1931130820246171024507
9Condors220000001257110000007251100000053241.000122436007564499635135255094325624359333.33%11190.91%21097211351.92%1047221647.25%636121752.26%1931130820246171024507
10Crunch321000001192211000007611100000043140.6671117280075644995951352550943542044711417.14%22481.82%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
11Eagles211000006511010000045-11100000020220.5006121801756449945513525509435419294615426.67%10190.00%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
12Firebirds2020000048-41010000034-11010000014-300.00048120075644993351352550943651920464125.00%9366.67%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
13Griffins32100000911-2110000005232110000049-540.667916250075644996151352550943871248641715.88%17570.59%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
14Gulls2020000019-81010000017-61010000002-200.000112007564499205135255094340136033600.00%14378.57%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
15IceHogs2020000013-21010000012-11010000001-100.000123007564499415135255094343124452500.00%22290.91%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
16Islanders30200010511-61010000013-22010001048-420.33358130075644994751352550943581347771915.26%19384.21%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
17Marlies3020010049-52020000026-41000010023-110.167461000756449937513525509436719416311218.18%18383.33%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
18Monsters41300000816-820200000311-82110000055020.2508132100756449961513525509431193553692229.09%24866.67%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
19Moose21000010954100000105411100000041341.00091524007564499435135255094347812398225.00%60100.00%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
20Penguins41201000912-3210010006422020000038-540.5009152400756449964513525509437025498124520.83%22481.82%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
21Reign2010010069-31000010034-11010000035-210.2506121800756449937513525509433519184614321.43%9188.89%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
22Roadrunners2020000026-41010000024-21010000002-200.000235007564499335135255094348930391317.69%15380.00%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
23Rocket3110000159-41010000015-42100000144030.500591400756449948513525509436613304513430.77%14378.57%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
24Senators320000101284220000007431000001054161.00012183000756449973513525509435418387017211.76%19384.21%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
25Silver Knights22000000624110000002021100000042241.0006111701756449948513525509433910284013323.08%140100.00%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
26Stars2020000048-41010000024-21010000024-200.000471100756449937513525509434113244812216.67%12283.33%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
27Thunderbirds20200000411-71010000025-31010000026-400.000461000756449936513525509436022324011218.18%16568.75%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
28Wild2020000016-51010000003-31010000013-200.0001230075644993051352550943471524351417.14%12375.00%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
29Wolf Pack413000001014-42020000037-42110000077020.25010182800756449990513525509436824606828414.29%28485.71%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
30Wolves40400000616-102020000035-220200000311-800.0006111700756449971513525509437921657917317.65%29872.41%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
31Wranglers2000000257-21000000134-11000000123-120.500510150075644994151352550943327144313215.38%7271.43%01097211351.92%1047221647.25%636121752.26%1931130820246171024507
Total82244501246193261-6841132301112102128-264111220013491133-42660.4021933385311375644991557513525509431722494114416544437116.03%4898482.82%61097211351.92%1047221647.25%636121752.26%1931130820246171024507
_Since Last GM Reset82244501246193261-6841132301112102128-264111220013491133-42660.4021933385311375644991557513525509431722494114416544437116.03%4898482.82%61097211351.92%1047221647.25%636121752.26%1931130820246171024507
_Vs Conference45132301134108150-4223813010015473-1922510001335477-23390.433108183291117564499837513525509439552916218942514015.94%2644881.82%31097211351.92%1047221647.25%636121752.26%1931130820246171024507
_Vs Division26514010115889-311346010002841-131318000113048-18150.28858101159107564499483513525509435191573514951562314.74%1553180.00%21097211351.92%1047221647.25%636121752.26%1931130820246171024507

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8266W1193338531155717224941144165413
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8224451246193261
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113231112102128
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
411122013491133
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4437116.03%4898482.82%6
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
513525509437564499
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
1097211351.92%1047221647.25%636121752.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1931130820246171024507


Derniers matchs 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 - 2023-10-1211Phantoms3Monsters1AWSommaire du match
5 - 2023-10-1419Phantoms5Senators4AWXXSommaire du match
8 - 2023-10-1742Canucks1Phantoms2BWSommaire du match
10 - 2023-10-1954Condors2Phantoms7BWSommaire du match
12 - 2023-10-2172Phantoms2Stars4ALSommaire du match
15 - 2023-10-2498Phantoms4Silver Knights2AWSommaire du match
17 - 2023-10-26104Wild3Phantoms0BLSommaire du match
19 - 2023-10-28117Gulls7Phantoms1BLSommaire du match
21 - 2023-10-30131Wolves3Phantoms2BLSommaire du match
23 - 2023-11-01141Americans0Phantoms2BWSommaire du match
25 - 2023-11-03157Phantoms2Americans3ALXXSommaire du match
26 - 2023-11-04164Reign4Phantoms3BLXSommaire du match
29 - 2023-11-07189Phantoms1Barracuda2ALSommaire du match
32 - 2023-11-10208Phantoms0Gulls2ALSommaire du match
33 - 2023-11-11221Phantoms3Reign5ALSommaire du match
37 - 2023-11-15238Phantoms1Wolves5ALSommaire du match
40 - 2023-11-18255Silver Knights0Phantoms2BWSommaire du match
41 - 2023-11-19268Monsters4Phantoms1BLSommaire du match
44 - 2023-11-22286Phantoms0Islanders5ALSommaire du match
46 - 2023-11-24294Wolf Pack4Phantoms1BLSommaire du match
47 - 2023-11-25312Phantoms4Islanders3AWXXSommaire du match
50 - 2023-11-28328Wolves2Phantoms1BLSommaire du match
52 - 2023-11-30344Comets3Phantoms2BLXXSommaire du match
54 - 2023-12-02363Phantoms2Penguins4ALSommaire du match
56 - 2023-12-04374Penguins3Phantoms4BWSommaire du match
59 - 2023-12-07400Phantoms0Roadrunners2ALSommaire du match
61 - 2023-12-09417Phantoms2Eagles0AWSommaire du match
64 - 2023-12-12435Phantoms4Admirals1AWSommaire du match
66 - 2023-12-14448Bears3Phantoms5BWSommaire du match
68 - 2023-12-16466Griffins2Phantoms5BWSommaire du match
71 - 2023-12-19487Phantoms3Comets2AWXXSommaire du match
73 - 2023-12-21502Admirals1Phantoms3BWSommaire du match
74 - 2023-12-22510Phantoms3Griffins2AWSommaire du match
80 - 2023-12-28543Phantoms1Canucks3ALSommaire du match
81 - 2023-12-29554Phantoms1Firebirds4ALSommaire du match
83 - 2023-12-31570Phantoms2Wranglers3ALXXSommaire du match
85 - 2024-01-02583Phantoms5Condors3AWSommaire du match
87 - 2024-01-04592Monsters7Phantoms2BLSommaire du match
89 - 2024-01-06605Wranglers4Phantoms3BLXXSommaire du match
91 - 2024-01-08622Penguins1Phantoms2BWXSommaire du match
93 - 2024-01-10635Rocket5Phantoms1BLSommaire du match
95 - 2024-01-12652Phantoms1Wild3ALSommaire du match
96 - 2024-01-13657Phantoms4Moose1AWSommaire du match
98 - 2024-01-15679Phantoms2Thunderbirds6ALSommaire du match
101 - 2024-01-18694Stars4Phantoms2BLSommaire du match
103 - 2024-01-20707Eagles5Phantoms4BLSommaire du match
104 - 2024-01-21718Senators2Phantoms3BWSommaire du match
106 - 2024-01-23732Crunch4Phantoms1BLSommaire du match
108 - 2024-01-25747Phantoms1Griffins7ALSommaire du match
110 - 2024-01-27759Bruins7Phantoms1BLSommaire du match
120 - 2024-02-06786Phantoms3Checkers9ALSommaire du match
122 - 2024-02-08797Moose4Phantoms5BWXXSommaire du match
124 - 2024-02-10814Firebirds4Phantoms3BLSommaire du match
126 - 2024-02-12821Roadrunners4Phantoms2BLSommaire du match
129 - 2024-02-15843Phantoms2Marlies3ALXSommaire du match
131 - 2024-02-17859Phantoms2Comets3ALSommaire du match
135 - 2024-02-21885Phantoms0IceHogs1ALSommaire du match
138 - 2024-02-24905Wolf Pack3Phantoms2BLSommaire du match
139 - 2024-02-25917Phantoms1Penguins4ALSommaire du match
141 - 2024-02-27930Crunch2Phantoms6BWSommaire du match
144 - 2024-03-01954Phantoms3Bears4ALSommaire du match
145 - 2024-03-02962Senators2Phantoms4BWSommaire du match
147 - 2024-03-04977Thunderbirds5Phantoms2BLSommaire du match
150 - 2024-03-07996Phantoms0Checkers3ALSommaire du match
152 - 2024-03-091016Phantoms4Crunch3AWSommaire du match
155 - 2024-03-121035Barracuda3Phantoms2BLSommaire du match
157 - 2024-03-141050Marlies2Phantoms1BLSommaire du match
159 - 2024-03-161065Phantoms1Bruins2ALXXSommaire du match
162 - 2024-03-191086Marlies4Phantoms1BLSommaire du match
164 - 2024-03-211099Phantoms2Wolves6ALSommaire du match
166 - 2024-03-231114Bruins3Phantoms2BLSommaire du match
167 - 2024-03-241129Checkers1Phantoms5BWSommaire du match
169 - 2024-03-261137Phantoms2Wolf Pack4ALSommaire du match
171 - 2024-03-281152Phantoms2Rocket3ALXXSommaire du match
173 - 2024-03-301174IceHogs2Phantoms1BLSommaire du match
175 - 2024-04-011183Islanders3Phantoms1BLSommaire du match
179 - 2024-04-051211Phantoms4Americans3AWSommaire du match
180 - 2024-04-061222Phantoms2Monsters4ALSommaire du match
183 - 2024-04-091242Phantoms2Rocket1AWSommaire du match
185 - 2024-04-111257Phantoms5Wolf Pack3AWSommaire du match
187 - 2024-04-131274Comets3Phantoms1BLSommaire du match
190 - 2024-04-161299Bears2Phantoms4BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,245,074$ 1,478,250$ 1,478,250$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,245,074$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 7,699$ 0$




Phantoms Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Martin Frk340168194362190101578601158110.63%117646019.0021365713624629241052.84%91.12724
2Keegan Kolesar3281171562739017984548913578.62%138538616.4253844000514253.45%71.01113
3Dillon Heatherington4866320927217747112664136659.47%650942019.38142034180145312416.67%00.5800
4J.C. Beaudin320921742661177445146410448.81%121538116.8272229110101611457.64%20.9923
5Christoffer Ehn2291341132475162439655125510.68%185443319.361423371331011016961.18%71.11217

Phantoms Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jon Gillies20612164130.9292.3511979261546966280470.76167
2Hunter Miska18210948210.9173.1410689301055967550610.66790
3Dan Ellis109623970.9182.31629310724229450240.64314
4Mike Condon82522550.9302.08495810517224690910.81332
5Keith Kinkaid82502440.9132.9446798322926180220.92313

Phantoms Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
Saison régulière
282512004241285192934124100312114895534127100112013797401212855067910911371939271993387089536215264496314483918421.48%3926184.44%31672284958.69%1431258355.40%755128558.75%2133147217626061065558
3824528032132401885241241501010119912841211302203121972410324042366346987068529421008984931322366711100117103185316.67%4266784.27%51842307159.98%1597273058.50%698121157.64%2120149117996011031529
4824725002532681769241279001221407664412016001311281002810926847574315116737410296210199159996324707601592203558810317.52%6619186.23%111884321958.53%1788316756.46%703124856.33%1975131119416661048525
58255190123228417910541269002221469551412910010101388454122284506790091208377530809801030105432224061454519562234419.73%2445477.87%31832294362.25%1372248755.17%729125058.32%2216162617245441014530
682393402133295209864119180101215111041412016011211449945922955368315312385827330110701045115457278279449521752154621.40%2142886.92%31456310946.83%1328294045.17%632127949.41%2179157517705381010531
78247200125732019712341308000121788494411712012451421132911532056388328138938312359911661187120091278282449321712074220.29%2133484.04%51741324553.65%1472297749.45%743133255.78%2194160417765451011525
88238310112935928277411817001141661402641201401015193142519235956792613156116847386412731307124877339499638618541783318.54%1713480.12%41794319956.08%1719319953.74%799140956.71%204815211967532963481
9825414012384392581814134400021243112131412010012171961465012643977212110618414510612429414241428139889299986746318682044924.02%2024080.20%22166352161.52%1695296357.21%887145161.13%220916481796528972501
108246260233231124566411913023221391102941271300010172135371073115398502312096906325010851027111942279680538620131873619.25%1572882.17%11553311249.90%1433287649.83%671134749.81%2050148519085591003507
118242350102235829464412513000211971326541172201001161162-192358647100505144126853319010201107105424279476237318971494026.85%1733778.61%21651271660.79%1541265158.13%896147260.87%2130154517685401042543
1282244501246193261-6841132301112102128-264111220013491133-42661933385311375644991557513525509431722494114416544437116.03%4898482.82%61097211351.92%1047221647.25%636121752.26%1931130820246171024507
Total Saison régulière7383922490101530422827210172636921111404814181462987475369181135067162413651114251921282749437770124511768817307129097955095719735518239796916587717623239446419.38%252443082.96%37151742717755.83%133952547652.58%66961200555.78%189371362716678507290924655
Séries éliminatoires
21165000003435-16420000020164523000001419-51234629600101211130797103106137992168193501224.00%571082.46%015533146.83%16039540.51%8217147.95%2541762688013967
323167000007454201082000003020101385000004434103274133207112318303810261257277156782043704901141614.04%1442483.33%249688655.98%44382453.76%19635255.68%561380557180305151
41165000002925453200000151236330000014131122951801171010236712298127203951172852866868.82%1131190.27%125545056.67%25147952.40%9715961.01%2681722829314267
5624000001521-631200000912-33120000069-34152641006432168544043312204810617618738.89%35974.29%06221029.52%7824831.45%329434.04%14293187528538
6514000001718-12110000086230300000912-32173148009440134513449021056381481300.00%19478.95%04115326.80%7521335.21%247830.77%9963139386128
71165000003435-16420000019145523000001521-612346094011110103467126160155263771218726440820.00%38878.95%027248456.20%21438855.15%9917556.57%2992192487413367
924168000009167241410400000604119106400000312653291165256013130273105135834330545919240129606781924.36%53786.79%0595103757.38%51594954.27%21038953.98%634454566176313160
107340000020200413000001013-33210000010736203454007760196677158020181581461218.33%26773.08%011720856.25%11522451.34%5610752.34%167115164518844
Total Séries éliminatoires6434300000020618620342014000001219823301416000008588-36820636757313716560102383778746737122232266370316262294117.90%2844683.80%11342254252.79%1248250149.90%518100251.70%161111181588487825407

Phantoms Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Blair Jones451421352174567713310.53%574016.4657123900022260.67%00.9400
2Greg Rallo511319321228536512910.08%690217.714594000032144.64%00.7100
3Martin Frk54131932-435891102126.13%1697318.0446103400063056.32%00.6600
4Boo Nieves3172128262473977.22%1057618.614591200021056.30%00.9700
5Alex Chiasson34131427622454312410.48%666119.4648123620233155.19%10.8200

Phantoms Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Dan Ellis2918830.9182.421837417489703100
2Hunter Miska2416620.9272.661513016791901000
3Jon Gillies167900.9073.38941215357100000
4Mike Condon116500.9392.08691212439400100
5Chad Johnson116400.9053.31525002930601000