Connexion

Syracuse Crunch
GP: 7 | W: 3 | L: 4
GF: 22 | GA: 26 | PP%: 10.00% | PK%: 68.00%
DG: Dyn Maurice | Morale : 6 | Moyenne d’équipe : 63
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Centre de jeu
Syracuse Crunch
3-4-0, 6pts
2
FINAL
4 Toronto Marlies
10-9-0, 20pts
Team Stats
OTL1StreakL1
2-2-0Home Record4-5-0
1-2-0Away Record6-4-0
3-2-2Last 10 Games5-5-0
3.14Buts par match 3.26
3.71Buts contre par match 3.05
10.00%Pourcentage en avantage numérique31.48%
68.00%Pourcentage en désavantage numérique87.04%
Toronto Marlies
10-9-0, 20pts
6
FINAL
5 Syracuse Crunch
3-4-0, 6pts
Team Stats
L1StreakOTL1
4-5-0Home Record2-2-0
6-4-0Away Record1-2-0
5-5-0Last 10 Games3-2-2
3.26Buts par match 3.14
3.05Buts contre par match 3.71
31.48%Pourcentage en avantage numérique10.00%
87.04%Pourcentage en désavantage numérique68.00%
Meneurs d'équipe
Buts
Boris Katchouk
5
Passes
MacKenzie Entwistle
7
Points
Boris Katchouk
8
Plus/Moins
Cale Fleury
6
Victoires
Connor Ingram
3
Pourcentage d’arrêts
Connor Ingram
0.886

Statistiques d’équipe
Buts pour
22
3.14 GFG
Tirs pour
275
39.29 Avg
Pourcentage en avantage numérique
10.0%
2 GF
Début de zone offensive
38.7%
Buts contre
26
3.71 GAA
Tirs contre
228
32.57 Avg
Pourcentage en désavantage numérique
68.0%
8 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralDyn Maurice
EntraîneurJeff Blashill
DivisionDivision 2
ConférenceConference 1
CapitainePhil Varone
Assistant #1Max McCormick
Assistant #2Jack Rodewald


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure18
Limite contact 54 / 100
Espoirs18


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 moyen
1Danton Heinen0XXX100.0060409171758186696671676667726953616702621,250,000$
2Mark Jankowski0XX100.0056439172897386658267647762746876466722721,000,000$
3MacKenzie Entwistle0XX100.006351847183868871536564625965676577660221850,000$
4Boris Katchouk (R)0X100.007866766481828764696563656368627579652231873,000$
5Otto Somppi (R)0XXX100.006645786782837867776363655363677366650241780,000$
6Matthew Peca0X100.007639886566808063746562605976695572640292900,000$
7Gabriel Dumont0X100.008144876369747262776263606381725074630311595,000$
8Daniel Walcott0X100.009664585977858057555660655769694671620282750,000$
9Tyler Steenbergen0XXX100.006042886371848961576161596066646073620241833,300$
10Bokondji Imama (R)0X100.007585576091808557555859575657705567610251700,000$
11Aidan Dudas (R)0X100.006235786763838661645859596163626461610222786,000$
12Dennis Yan 0XX100.006746806479828556555755595268675861612252700,000$
13Ryan Lohin (R)0X100.006335786273717658725960586071636448600251800,000$
14Cale Fleury0X100.008942856581807663306161735165646175681231925,000$
15Jack Rathbone (R)0X100.006135896972877666307063746062617673670231925,000$
16Gustav Lindstrom (R)0X100.006242847080817766306760755065647438672234850,000$
17Libor Hajek0X100.006143886884787665306561705266677369662241950,000$
18Ben Thomas0X100.005746916475808063306259705570675567650261675,000$
19Grant Hutton0X100.007445885984858454305754614672685845640263700,000$
20Dylan Blujus0X100.007248775682777254305253634573687039620281780,000$
21Connor Corcoran (R)0X100.006440656166777559655157656062627539610212813,333$
Rayé
1Jacob Nilsson0XX100.005045885866878855625755625774685720590281850,000$
2Cameron Hillis (R)0X100.006260886068747059655959615761646519590212838,333$
3Jacob McGrew (R)0X100.006655616066758059506059595662617519590262773,333$
4Cameron Darcy0X100.006349866072757456635754585672675820580282920,000$
5Lukas Craggs0X100.006343765672667154555358605667646120570261925,000$
6Cristiano DiGiacinto (R)0XX100.00606060606060606060606060606040120560261700,000$
7Ty Lewis0X100.005242885557767556525453525663626619550241750,000$
8Matt Spencer (R)0X100.006545736183777559305656616347467819602251733,000$
9Jordan Spence (R)0X100.00606060606060606060606070606040120580213820,000$
10Simon Lundmark (R)0X100.00606060606060606060606070606040120580213850,833$
11Ryan Zuhlsdorf (R)0X100.00606060606060606060606060606040120560242800,000$
MOYENNE D’ÉQUIPE100.00664978637377776155605964576662564762
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 moyen
1Eddie Pasquale100.00807072837978838081787852576458740312800,000$
2Connor Ingram (R)100.007085838076757779787576656678707422511,100,000$
Rayé
1Zane McIntyre100.00708684826968706968706975815720710293800,000$
2Kristian Oldham (R)100.0065656565656565656565656540120620242750,000$
MOYENNE D’ÉQUIPE100.0071777678727274737372726461504270
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill80798385716679USA4712,300,000$


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
1Boris Katchouk Syracuse Crunch (TAM)LW753811001972861217.86%813619.54011015000060016.67%695001.1700000101
2Otto Somppi Syracuse Crunch (TAM)C/LW/RW72681801415393205.13%314821.191015150111191051.54%13021001.0800000100
3MacKenzie EntwistleSyracuse Crunch (TAM)LW/RW7178-180126197135.26%312718.22022320000070055.56%972001.2500000010
4Danton HeinenSyracuse Crunch (TAM)C/LW/RW7336-1207625111112.00%312818.36000319000081153.33%1582000.9300000100
5Matthew PecaSyracuse Crunch (TAM)C7426-3201582131519.05%615121.6200000000000044.93%20734000.7900000011
6Tyler SteenbergenSyracuse Crunch (TAM)C/LW/RW714500012113487.69%312818.39000015000000140.00%511000.7800000000
7Cale FleurySyracuse Crunch (TAM)D704464011620580.00%1420729.71000121000121000.00%067000.3800000000
8Gabriel DumontSyracuse Crunch (TAM)C73034009143714188.11%312718.180003201011220048.48%6640000.4700000001
9Jack RathboneSyracuse Crunch (TAM)D71235001813347.69%1314620.99101321011022000.00%045000.4100000010
10Mark JankowskiSyracuse Crunch (TAM)C/LW7112-1005963716.67%3669.550000000002000.00%231000.6000000000
11Connor CorcoranSyracuse Crunch (TAM)D7022120103010.00%2618.840000000000000.00%002000.6500000000
12Bokondji Imama Syracuse Crunch (TAM)LW7011-100655110.00%37310.460000000007000.00%203000.2700000000
13Libor HajekSyracuse Crunch (TAM)D7011-160339660.00%1014220.32000014000014000.00%013000.1400000000
14Daniel WalcottSyracuse Crunch (TAM)LW71013409414567.14%28512.150000000000100.00%011000.2400000000
15Ben ThomasSyracuse Crunch (TAM)D7011-155666540.00%914220.39000014000015000.00%025000.1400010000
16Dennis Yan Syracuse Crunch (TAM)LW/RW70113404113190.00%18412.0700000000000066.67%302000.2400000000
17Grant HuttonSyracuse Crunch (TAM)D7011-300242230.00%38612.290000000000000.00%002000.2300000000
18Dylan BlujusSyracuse Crunch (TAM)D7000-300051310.00%78612.380000000001000.00%015000.0000000000
19Aidan DudasSyracuse Crunch (TAM)C7000000101000.00%0131.970000100000000.00%200000.0000000000
20Ryan LohinSyracuse Crunch (TAM)C7000000000000.00%020.4100000000000050.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne1402239619555137108275821478.00%96214915.352351818112331493246.99%4495251000.5700010333
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
1Connor Ingram Syracuse Crunch (TAM)73220.8863.574370026228114100.000070000
Statistiques d’équipe totales ou en moyenne73220.8863.574370026228114100.000070000


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 restantPlafond salarial 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 10Link
Aidan DudasSyracuse Crunch (TAM)C222000-06-15 07:14:11Yes162 Lbs6 ft6NoNoNo2Pro & Farm786,000$786,000$0$0$No786,000$
Ben ThomasSyracuse Crunch (TAM)D261996-05-28No180 Lbs7 ft0NoNoNo1Pro & Farm700,000$675,000$0$0$NoLien
Bokondji Imama Syracuse Crunch (TAM)LW251996-08-03 09:24:59Yes217 Lbs6 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$No
Boris Katchouk Syracuse Crunch (TAM)LW231998-06-18 03:04:36Yes198 Lbs6 ft2NoNoNo1Pro & Farm873,000$873,000$0$0$No
Cale FleurySyracuse Crunch (TAM)D231998-11-19No205 Lbs6 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Cameron DarcySyracuse Crunch (TAM)C281994-03-02No190 Lbs6 ft10NoNoNo2Pro & Farm920,000$920,000$0$0$No920,000$Lien
Cameron HillisSyracuse Crunch (TAM)C212000-06-24 07:07:23Yes171 Lbs6 ft6NoNoNo2Pro & Farm838,333$838,333$0$0$No838,333$
Connor CorcoranSyracuse Crunch (TAM)D212000-08-07 07:08:54Yes185 Lbs7 ft0NoNoNo2Pro & Farm813,333$813,333$0$0$No813,333$
Connor Ingram Syracuse Crunch (TAM)G251997-03-31 03:55:05Yes212 Lbs6 ft10NoNoNo1Pro & Farm1,100,000$1,100,000$0$0$No
Cristiano DiGiacintoSyracuse Crunch (TAM)LW/RW261996-01-10 16:07:29Yes185 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$No
Daniel WalcottSyracuse Crunch (TAM)LW281994-02-19No170 Lbs6 ft9NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Danton HeinenSyracuse Crunch (TAM)C/LW/RW261995-07-05No188 Lbs6 ft11NoNoNo2Pro & Farm1,250,000$1,250,000$0$0$No1,250,000$Lien
Dennis Yan Syracuse Crunch (TAM)LW/RW251997-04-14 04:01:19No184 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$
Dylan BlujusSyracuse Crunch (TAM)D281994-01-22No191 Lbs6 ft3NoNoNo1Pro & Farm780,000$780,000$0$0$NoLien
Eddie PasqualeSyracuse Crunch (TAM)G311990-11-20No216 Lbs6 ft2NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Gabriel DumontSyracuse Crunch (TAM)C311990-10-06No191 Lbs5 ft10NoNoNo1Pro & Farm600,000$595,000$0$0$NoLien / Lien NHL
Grant HuttonSyracuse Crunch (TAM)D261995-07-25No205 Lbs6 ft3NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien
Gustav LindstromSyracuse Crunch (TAM)D231998-10-20Yes190 Lbs6 ft2NoNoNo4Pro & Farm850,000$850,000$0$0$No850,000$850,000$850,000$
Jack RathboneSyracuse Crunch (TAM)D231999-03-20 07:10:53Yes177 Lbs5 ft8NoNoNo1Pro & Farm925,000$925,000$0$0$No
Jacob McGrewSyracuse Crunch (TAM)RW261996-03-28 07:12:57Yes185 Lbs5 ft9NoNoNo2Pro & Farm773,333$773,333$0$0$No773,333$
Jacob NilssonSyracuse Crunch (TAM)C/RW281993-10-12No180 Lbs5 ft10NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien
Jordan SpenceSyracuse Crunch (TAM)D212001-02-24 16:09:07Yes175 Lbs5 ft10NoNoNo3Pro & Farm820,000$820,000$0$0$No820,000$820,000$
Kristian OldhamSyracuse Crunch (TAM)G241997-06-25 16:10:29Yes203 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$
Libor HajekSyracuse Crunch (TAM)D241998-02-04No203 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien
Lukas CraggsSyracuse Crunch (TAM)LW261996-05-16No190 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
MacKenzie EntwistleSyracuse Crunch (TAM)LW/RW221999-07-14No184 Lbs6 ft3NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien
Mark JankowskiSyracuse Crunch (TAM)C/LW271994-09-13No212 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien
Matt Spencer Syracuse Crunch (TAM)D251997-03-22 07:00:26Yes194 Lbs6 ft2NoNoNo1Pro & Farm733,000$733,000$0$0$No
Matthew PecaSyracuse Crunch (TAM)C291993-04-27No182 Lbs5 ft9NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Otto Somppi Syracuse Crunch (TAM)C/LW/RW241998-01-12 13:55:20Yes192 Lbs6 ft2NoNoNo1Pro & Farm780,000$780,000$0$0$No
Ryan LohinSyracuse Crunch (TAM)C251996-06-26 07:15:51Yes192 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$0$0$No
Ryan ZuhlsdorfSyracuse Crunch (TAM)D241997-07-01 16:13:06Yes187 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$
Simon LundmarkSyracuse Crunch (TAM)D212000-10-08 16:14:18Yes201 Lbs6 ft2NoNoNo3Pro & Farm850,833$850,833$0$0$No850,833$850,833$
Ty LewisSyracuse Crunch (TAM)LW241998-03-05No180 Lbs5 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Tyler SteenbergenSyracuse Crunch (TAM)C/LW/RW241998-01-07No188 Lbs5 ft1NoNoNo1Pro & Farm833,300$833,300$0$0$NoLien
Zane McIntyreSyracuse Crunch (TAM)G291992-08-20No206 Lbs6 ft2NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3625.11191 Lbs6 ft31.67829,893$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenMatthew PecaMacKenzie Entwistle30122
2Boris Katchouk Otto Somppi Tyler Steenbergen30122
3Daniel WalcottGabriel DumontDennis Yan 20122
4Bokondji Imama Matthew PecaMark Jankowski20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryJack Rathbone30122
2Libor HajekBen Thomas30122
3Grant HuttonDylan Blujus20122
4Connor CorcoranCale Fleury20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danton HeinenGabriel DumontMacKenzie Entwistle60122
2Boris Katchouk Otto Somppi Tyler Steenbergen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryJack Rathbone60122
2Libor HajekBen Thomas40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Otto Somppi Gabriel Dumont60122
2MacKenzie EntwistleBoris Katchouk 40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryJack Rathbone60122
2Libor HajekBen Thomas40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1MacKenzie Entwistle60122Cale FleuryJack Rathbone60122
2Boris Katchouk 40122Libor HajekBen Thomas40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Otto Somppi Gabriel Dumont60122
2MacKenzie EntwistleBoris Katchouk 40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryJack Rathbone60122
2Libor HajekBen Thomas40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danton HeinenBoris Katchouk MacKenzie EntwistleCale FleuryJack Rathbone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danton HeinenBoris Katchouk MacKenzie EntwistleCale FleuryJack Rathbone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aidan Dudas, Ryan Lohin, Gabriel DumontAidan Dudas, Ryan LohinGabriel Dumont
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Grant Hutton, Dylan Blujus, Connor CorcoranGrant HuttonDylan Blujus, Connor Corcoran
Tirs de pénalité
Matthew Peca, Danton Heinen, MacKenzie Entwistle, Boris Katchouk , Otto Somppi
Gardien
#1 : Connor Ingram , #2 : Eddie Pasquale
Lignes d’attaque personnalisées en prolongation
Ryan Lohin, Danton Heinen, MacKenzie Entwistle, Boris Katchouk , Otto Somppi , Gabriel Dumont, Gabriel Dumont, Matthew Peca, Daniel Walcott, Tyler Steenbergen, Aidan Dudas
Lignes de défense personnalisées en prolongation
Cale Fleury, Jack Rathbone, Libor Hajek, Ben Thomas, Grant Hutton


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
1Toronto Marlies734000002226-4422000001515031200000711-460.4292239610056922759281948228965513720210.00%25868.00%18217347.40%7616745.51%5310749.53%155851466713566
Total734000002226-4422000001515031200000711-460.4292239610056922759281948228965513720210.00%25868.00%18217347.40%7616745.51%5310749.53%155851466713566
_Since Last GM Reset734000002226-4422000001515031200000711-460.4292239610056922759281948228965513720210.00%25868.00%18217347.40%7616745.51%5310749.53%155851466713566
_Vs Conference734000002226-4422000001515031200000711-460.4292239610056922759281948228965513720210.00%25868.00%18217347.40%7616745.51%5310749.53%155851466713566

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76OTL1223961275228965513700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001515
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000711
Derniers 10 matchs
WLOTWOTL SOWSOL
320200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
20210.00%25868.00%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
92819485692
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
8217347.40%7616745.51%5310749.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155851466713566


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
1 - 2021-10-123Toronto Marlies3Syracuse Crunch2BLXSommaire du match
3 - 2021-10-1411Toronto Marlies2Syracuse Crunch3BWXSommaire du match
5 - 2021-10-1619Syracuse Crunch4Toronto Marlies2AWSommaire du match
7 - 2021-10-1827Syracuse Crunch1Toronto Marlies5ALSommaire du match
9 - 2021-10-2035Toronto Marlies4Syracuse Crunch5BWXSommaire du match
11 - 2021-10-2243Syracuse Crunch2Toronto Marlies4ALSommaire du match
13 - 2021-10-2451Toronto Marlies6Syracuse Crunch5BLXSommaire 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
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,987,612$ 2,984,612$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Syracuse Crunch Leaders statistiques (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

Syracuse Crunch 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

Syracuse Crunch 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

Syracuse Crunch Leaders statistiques (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

Syracuse Crunch 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