SYRACUSE Crunch

GP: 3 | W: 2 | L: 1 | OTL: 0 | P: 4
GF: 13 | GA: 11 | PP%: 37.50% | PK%: 71.43%
DG: Alex Blais | Morale : 99 | Moyenne d'Équipe : 66
Prochain matchs #43 vs BROOKLYN Wolfpack
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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 SPÂgeContratSalaire
1Cal O'Reilly0X100.005842826372878561686556586384745199690331750,000$
2Brendan Leipsic0X100.007042866568748763546659566371676399680265750,000$
3Liam O'Brien0X100.006765745980889158545756605971665999680265750,000$
4Mathieu Joseph0X100.007142866675778164596362656465635899680234750,000$
5Lance Bouma0XXX100.006857785882868857525456595578675399670305750,000$
6Jordan Szwarz0X100.005945876371787962686061596277675499670295750,000$
7Zac Dalpe0X100.006345896280737261696063596277795899670305750,000$
8Marko Dano0XX100.006052816273777863546058616371667699660251950,000$
9Andy Andreoff0XX100.007644676974746264406563606656555599650294750,000$
10Cole Cassels0XX100.005444855970858458736056545869656199650255750,000$
11Nicholas Shore0X100.006840845877658257745356695875685399650273750,000$
12Mark Barberio0X100.0062387965777571643063596753786854996803021,450,000$
13Zach Trotman0X100.006746856087766758305957615578684699660301750,000$
14Gustav Olofsson0X100.006341875980767457305856594571667099650253750,000$
15Ian McCoshen0X100.006649845985787258305756614869657499650255750,000$
16Cody Goloubef0X100.006739835675776454305252644679715999630304750,000$
Rayé
MOYENNE D'ÉQUIPE100.00654682617778776051605861587367599966
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
1Calvin Pickard100.00786967797776787776787775815999690
2Zane McIntyre100.00708684826968706968706975815799660
3Zachary Fucale100.00605351785958605958605969737299560
Rayé
MOYENNE D'ÉQUIPE100.0069696780686769686769687378639964
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dale Hunter65656565767650CAN612300,000$


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
1Mark BarberioSYRACUSE Crunch (TBL)D31782007614747.14%87123.991126700009000.00%033002.2200000011
2Lance BoumaSYRACUSE Crunch (TBL)C/LW/RW3426520431111036.36%23812.8100000000001062.50%6420013.1200000100
3Marko DanoSYRACUSE Crunch (TBL)C/LW324652012173711.76%03612.2900000000000075.00%410003.2500000010
4Zach TrotmanSYRACUSE Crunch (TBL)D31561608413227.69%76822.711127700006000.00%012001.7600000001
5Cole CasselsSYRACUSE Crunch (TBL)C/RW31121005211269.09%03210.8200000000000050.00%220001.2300000000
6Jordan SzwarzSYRACUSE Crunch (TBL)RW31121003671414.29%04314.54011130000000100.00%510000.9200000000
7Ian McCoshenSYRACUSE Crunch (TBL)D30220801027620.00%86220.740000400003000.00%002000.6400000000
8Gustav OlofssonSYRACUSE Crunch (TBL)D1000100011110.00%22222.650001300004000.00%000000.0000000000
9Andy AndreoffSYRACUSE Crunch (TBL)C/LW1000-100010010.00%066.180000000000000.00%100000.0000000000
10Brendan LeipsicSYRACUSE Crunch (TBL)LW1000020114110.00%01919.980001300002000.00%000000.0000000000
11Cal O'ReillySYRACUSE Crunch (TBL)C1000-100046040.00%12626.2000003000040083.87%3100000.0000000000
12Liam O'BrienSYRACUSE Crunch (TBL)LW1000020210010.00%01818.4500003000020066.67%300000.0000000000
13Cody GoloubefSYRACUSE Crunch (TBL)D3000040603110.00%55217.330000000002000.00%010000.0000000000
14Zac DalpeSYRACUSE Crunch (TBL)C1000000111210.00%11717.2700003000000077.27%2200000.0000000000
15Mathieu JosephSYRACUSE Crunch (TBL)RW1000000122130.00%02020.57000130000400100.00%400000.0000000000
16Nicholas ShoreSYRACUSE Crunch (TBL)C1000-100042000.00%177.3700000000000077.78%900000.0000000000
Stats d'équipe Total ou en Moyenne3210223213260494099284810.10%3554417.0123517450000411072.41%145117011.1800000122
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
1Zane McIntyreSYRACUSE Crunch (TBL)22000.9193.501200078621000.000021000
2Calvin PickardSYRACUSE Crunch (TBL)10100.9094.0060004440000.000010000
Stats d'équipe Total ou en Moyenne32100.9153.67180001113021000.000031000


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
Andy AndreoffSYRACUSE Crunch (TBL)C/LW295/17/1991No92 Kg185 CMNoNoNo4Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$Lien
Brendan LeipsicSYRACUSE Crunch (TBL)LW265/19/1994No82 Kg180 CMNoNoNo5Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$750,000$Lien
Cal O'ReillySYRACUSE Crunch (TBL)C339/30/1986No85 Kg183 CMNoNoNo1Pro & Farm750,000$724,576$750,000$724,576$0$0$NoLien
Calvin PickardSYRACUSE Crunch (TBL)G284/15/1992No95 Kg185 CMNoNoNo2Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$Lien
Cody GoloubefSYRACUSE Crunch (TBL)D3011/30/1989No86 Kg185 CMNoNoNo4Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$Lien
Cole CasselsSYRACUSE Crunch (TBL)C/RW255/4/1995No82 Kg183 CMNoNoNo5Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$750,000$Lien
Gustav OlofssonSYRACUSE Crunch (TBL)D2512/1/1994No91 Kg188 CMNoNoNo3Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$Lien
Ian McCoshenSYRACUSE Crunch (TBL)D258/5/1995No95 Kg191 CMNoNoNo5Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$750,000$Lien
Jordan SzwarzSYRACUSE Crunch (TBL)RW295/14/1991No87 Kg180 CMNoNoNo5Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$750,000$Lien
Lance BoumaSYRACUSE Crunch (TBL)C/LW/RW303/25/1990No95 Kg188 CMNoNoNo5Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$750,000$Lien
Liam O'BrienSYRACUSE Crunch (TBL)LW267/29/1994No97 Kg185 CMNoNoNo5Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$750,000$Lien
Mark BarberioSYRACUSE Crunch (TBL)D303/23/1990No91 Kg185 CMNoNoNo2Pro & Farm1,450,000$1,400,847$1,450,000$1,400,847$0$0$No1,450,000$Lien
Marko DanoSYRACUSE Crunch (TBL)C/LW2511/30/1994No91 Kg180 CMNoNoNo1Pro & Farm950,000$917,797$950,000$917,797$0$0$NoLien
Mathieu JosephSYRACUSE Crunch (TBL)RW232/9/1997No86 Kg185 CMNoNoNo4Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$Lien
Nicholas ShoreSYRACUSE Crunch (TBL)C279/26/1992No90 Kg185 CMNoNoNo3Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$Lien
Zac DalpeSYRACUSE Crunch (TBL)C3011/1/1989No90 Kg188 CMNoNoNo5Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$750,000$750,000$Lien
Zach TrotmanSYRACUSE Crunch (TBL)D308/26/1990No99 Kg191 CMNoNoNo1Pro & Farm750,000$724,576$750,000$724,576$0$0$NoLien
Zachary FucaleSYRACUSE Crunch (TBL)G255/28/1995No85 Kg188 CMNoNoNo3Pro & Farm750,000$724,576$750,000$724,576$0$0$No750,000$750,000$Lien
Zane McIntyreSYRACUSE Crunch (TBL)G288/20/1992No94 Kg188 CMNoNoNo1Pro & Farm750,000$724,576$750,000$724,576$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1927.5890 Kg185 CM3.37797,368$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Liam O'BrienCal O'ReillyMathieu Joseph31122
2Brendan LeipsicZac DalpeJordan Szwarz26122
3Marko DanoLance BoumaCole Cassels23122
4Andy AndreoffNicholas ShoreCal O'Reilly20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark BarberioZach Trotman31122
2Ian McCoshenGustav Olofsson26122
3Cody GoloubefMark Barberio23122
4Zach TrotmanIan McCoshen20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Liam O'BrienCal O'ReillyMathieu Joseph55122
2Brendan LeipsicZac DalpeJordan Szwarz45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark BarberioZach Trotman55122
2Ian McCoshenGustav Olofsson45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cal O'ReillyMathieu Joseph55122
2Liam O'BrienBrendan Leipsic45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark BarberioZach Trotman55122
2Ian McCoshenGustav Olofsson45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Cal O'Reilly55122Mark BarberioZach Trotman55122
2Mathieu Joseph45122Ian McCoshenGustav Olofsson45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Cal O'ReillyMathieu Joseph55122
2Liam O'BrienBrendan Leipsic45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark BarberioZach Trotman55122
2Ian McCoshenGustav Olofsson45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Liam O'BrienCal O'ReillyMathieu JosephMark BarberioZach Trotman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Liam O'BrienCal O'ReillyMathieu JosephMark BarberioZach Trotman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lance Bouma, Marko Dano, Nicholas ShoreLance Bouma, Marko DanoNicholas Shore
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cody Goloubef, Gustav Olofsson, Mark BarberioCody GoloubefGustav Olofsson, Mark Barberio
Tirs de Pénalité
Cal O'Reilly, Mathieu Joseph, Liam O'Brien, Brendan Leipsic, Zac Dalpe
Gardien
#1 : Calvin Pickard, #2 : Zane McIntyre, #3 : Zachary Fucale
Lignes d'Attaque Perso. en Prol.
Cal O'Reilly, Mathieu Joseph, Liam O'Brien, Brendan Leipsic, Zac Dalpe, Jordan Szwarz, Jordan Szwarz, Lance Bouma, Marko Dano, Nicholas Shore, Cole Cassels
Lignes de Défense Perso. en Prol.
Mark Barberio, Zach Trotman, Ian McCoshen, Gustav Olofsson, Cody Goloubef


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
1CHICAGO Wolves11000000743110000007430000000000021.00071320005530353752260461482311100.00%40100.00%0507963.29%5011842.37%325162.75%704870213819
2ONTARIO Reign1010000024-2000000000001010000024-200.00024600553031375226044914154125.00%7271.43%0507963.29%5011842.37%325162.75%704870213819
3STOCKTON Flames11000000431000000000001100000043121.000481200553049375226040206213133.33%3233.33%0507963.29%5011842.37%325162.75%704870213819
Total3210000013112110000007432110000067-140.66713253800553011537522601304328598337.50%14471.43%0507963.29%5011842.37%325162.75%704870213819
_Since Last GM Reset3210000013112110000007432110000067-140.66713253800553011537522601304328598337.50%14471.43%0507963.29%5011842.37%325162.75%704870213819
_Vs Conference3210000013112110000007432110000067-140.66713253800553011537522601304328598337.50%14471.43%0507963.29%5011842.37%325162.75%704870213819

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
34L113253811513043285900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
32100001311
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000074
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
211000067
Derniers 10 Matchs
WLOTWOTL SOWSOL
210000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
8337.50%14471.43%0
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
37522605530
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
507963.29%5011842.37%325162.75%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
704870213819


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
1 - 2021-01-178SYRACUSE Crunch4STOCKTON Flames3WSommaire du Match
3 - 2021-01-1921CHICAGO Wolves4SYRACUSE Crunch7WR3Sommaire du Match
4 - 2021-01-2037SYRACUSE Crunch2ONTARIO Reign4LSommaire du Match
5 - 2021-01-2143BROOKLYN Wolfpack-SYRACUSE Crunch-
7 - 2021-01-2358IOWA Wild-SYRACUSE Crunch-
8 - 2021-01-2472SYRACUSE Crunch-IOWA Wild-
9 - 2021-01-2582SYRACUSE Crunch-BAKERSFIELD Condors-
11 - 2021-01-2797LEHIGH VALLEY Phantoms-SYRACUSE Crunch-
13 - 2021-01-29109SYRACUSE Crunch-STOCKTON Flames-
14 - 2021-01-30122SYRACUSE Crunch-CAROLINA Checkers-
15 - 2021-01-31126HERSEY Bears-SYRACUSE Crunch-
17 - 2021-02-02147IOWA Wild-SYRACUSE Crunch-
18 - 2021-02-03155SYRACUSE Crunch-ROCKFORD IceHogs-
20 - 2021-02-05172GRAND RAPIDS Griffins-SYRACUSE Crunch-
21 - 2021-02-06189BAKERSFIELD Condors-SYRACUSE Crunch-
23 - 2021-02-08200SYRACUSE Crunch-HERSEY Bears-
24 - 2021-02-09213SYRACUSE Crunch-TUSCON Roadrunners-
25 - 2021-02-10222COLORADO Eagles-SYRACUSE Crunch-
27 - 2021-02-12233SYRACUSE Crunch-GRAND RAPIDS Griffins-
28 - 2021-02-13246SYRACUSE Crunch-CAROLINA Checkers-
29 - 2021-02-14258PROVIDENCE Bruins-SYRACUSE Crunch-
31 - 2021-02-16275IOWA Wild-SYRACUSE Crunch-
32 - 2021-02-17290SYRACUSE Crunch-BROOKLYN Wolfpack-
34 - 2021-02-19301ROCKFORD IceHogs-SYRACUSE Crunch-
35 - 2021-02-20311SYRACUSE Crunch-SAN ANTONIO Rampage-
37 - 2021-02-22327SYRACUSE Crunch-IOWA Wild-
38 - 2021-02-23336LEHIGH VALLEY Phantoms-SYRACUSE Crunch-
40 - 2021-02-25355CAROLINA Checkers-SYRACUSE Crunch-
41 - 2021-02-26367SYRACUSE Crunch-MILWAUKEE Admirals-
42 - 2021-02-27377BROOKLYN Wolfpack-SYRACUSE Crunch-
44 - 2021-03-01393SYRACUSE Crunch-STOCKTON Flames-
46 - 2021-03-03408LEHIGH VALLEY Phantoms-SYRACUSE Crunch-
47 - 2021-03-04422SCRANTON Penguins-SYRACUSE Crunch-
48 - 2021-03-05433SYRACUSE Crunch-COLORADO Eagles-
50 - 2021-03-07444SYRACUSE Crunch-LEHIGH VALLEY Phantoms-
51 - 2021-03-08458BRIDGEPORT Sound Tigers-SYRACUSE Crunch-
53 - 2021-03-10473BINGHAMTON Devils-SYRACUSE Crunch-
54 - 2021-03-11487SYRACUSE Crunch-BAKERSFIELD Condors-
55 - 2021-03-12496SYRACUSE Crunch-TORONTO Marlies-
56 - 2021-03-13507GRAND RAPIDS Griffins-SYRACUSE Crunch-
58 - 2021-03-15526BAKERSFIELD Condors-SYRACUSE Crunch-
60 - 2021-03-17537SYRACUSE Crunch-BINGHAMTON Devils-
61 - 2021-03-18547SYRACUSE Crunch-COLORADO Eagles-
62 - 2021-03-19563BROOKLYN Wolfpack-SYRACUSE Crunch-
63 - 2021-03-20568SYRACUSE Crunch-HERSEY Bears-
65 - 2021-03-22585SYRACUSE Crunch-LEHIGH VALLEY Phantoms-
66 - 2021-03-23597LAVAL Rocket-SYRACUSE Crunch-
67 - 2021-03-24611SYRACUSE Crunch-ROCKFORD IceHogs-
69 - 2021-03-26622BELLEVILLE Senators-SYRACUSE Crunch-
70 - 2021-03-27638TUSCON Roadrunners-SYRACUSE Crunch-
73 - 2021-03-30655MANITOBA Moose-SYRACUSE Crunch-
74 - 2021-03-31668SYRACUSE Crunch-ONTARIO Reign-
75 - 2021-04-01672SYRACUSE Crunch-BAKERSFIELD Condors-
77 - 2021-04-03695UTICA Comets-SYRACUSE Crunch-
78 - 2021-04-04696SYRACUSE Crunch-PROVIDENCE Bruins-
80 - 2021-04-06720BINGHAMTON Devils-SYRACUSE Crunch-
81 - 2021-04-07733SAN ANTONIO Rampage-SYRACUSE Crunch-
84 - 2021-04-10749SYRACUSE Crunch-LAVAL Rocket-
85 - 2021-04-11758SYRACUSE Crunch-CHICAGO Wolves-
86 - 2021-04-12771STOCKTON Flames-SYRACUSE Crunch-
88 - 2021-04-14788HERSEY Bears-SYRACUSE Crunch-
89 - 2021-04-15800SYRACUSE Crunch-UTICA Comets-
90 - 2021-04-16807SYRACUSE Crunch-ONTARIO Reign-
92 - 2021-04-18822MILWAUKEE Admirals-SYRACUSE Crunch-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19828SYRACUSE Crunch-SCRANTON Penguins-
95 - 2021-04-21849TORONTO Marlies-SYRACUSE Crunch-
96 - 2021-04-22859SYRACUSE Crunch-CHICAGO Wolves-
97 - 2021-04-23875SYRACUSE Crunch-BRIDGEPORT Sound Tigers-
98 - 2021-04-24877SYRACUSE Crunch-SAN DIEGO Gulls-
99 - 2021-04-25888STOCKTON Flames-SYRACUSE Crunch-
101 - 2021-04-27907SAN DIEGO Gulls-SYRACUSE Crunch-
103 - 2021-04-29925MANITOBA Moose-SYRACUSE Crunch-
105 - 2021-05-01945CHICAGO Wolves-SYRACUSE Crunch-
108 - 2021-05-04967CHICAGO Wolves-SYRACUSE Crunch-
110 - 2021-05-06980SYRACUSE Crunch-BELLEVILLE Senators-
111 - 2021-05-07993ONTARIO Reign-SYRACUSE Crunch-
112 - 2021-05-081006SYRACUSE Crunch-BELLEVILLE Senators-
113 - 2021-05-091015ONTARIO Reign-SYRACUSE Crunch-
114 - 2021-05-101019SYRACUSE Crunch-MANITOBA Moose-
115 - 2021-05-111027SYRACUSE Crunch-SCRANTON Penguins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
51,356$ 1,515,000$ 1,515,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 51,356$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 114 12,839$ 1,463,646$




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
Saison Régulière
3480253805444214224-1040132101131110106440121704313104118-14762143725862679794710240782575179666263679756514982534718.58%2384381.93%2900245936.60%957271935.20%408119234.23%188013392020548961470
3480253805444214224-1040132101131110106440121704313104118-14762143725862679794710240782575179666263679756514982534718.58%2384381.93%2900245936.60%957271935.20%408119234.23%188013392020548961470
363210000013112110000007432110000067-1413253800553011537522601304328598337.50%14471.43%0507963.29%5011842.37%325162.75%704870213819
Total Saison Régulière1635277010888441459-18812742022622272161182253508626214243-2915644176912104121631639720492916871554161813254021637115830555149718.87%4909081.63%41850499737.02%1964555635.35%848243534.83%38312727411111181960960