SCRANTON Penguins
GP: 75 | W: 62 | L: 10 | OTL: 3 | P: 127
GF: 347 | GA: 147 | PP%: 25.57% | PK%: 86.90%
DG: RS Guérin | Morale : 99 | Moyenne d'Équipe : 65
Prochain matchs #983 vs COLORADO Eagles
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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
1Jordan Weal22X100.0058388668667980668065646769756854996902811,200,000$
2Buddy Robinson83X100.007254856199787359526060635877675399690282750,000$
3Taylor Raddysh65X100.007249896287908660565859616063627199690222750,000$
4Markus Granlund10X100.0058398563707981647561626864736863996802711,300,000$
5Stefan Noesen79X100.0076486765787269645862666365736871996802741,000,000$
6Riley Tufte (R)74X100.008455855899858756525553625863628199680223950,000$
7Steven Fogarty57X100.006548886385747562706159646273655699670273750,000$
8Nic Petan91X100.005439876864747367786662616769657199660253750,000$
9Gabriel Gagne85X100.006845826087798058545756596067647499660231750,000$
10Ryan Gropp89X100.006445865981848258545755565867647299660235900,000$
11Chase De Leo84X100.005640846167817459566059586169645399640241750,000$
12Nick Henry (R)75X100.005242876261797860516162625461626499640212800,000$
13Manuel Wiederer88X100.005643895872777657535556595867645699630233750,000$
14William Lagesson (R)80X100.006446886582767366306460665067646299680243750,000$
15Gabriel Carlsson33X100.006545846188827859305857605165637999670232750,000$
16Brett Lernout55X100.007451875489858653305152574569656399660244750,000$
17Brandon Davidson6X100.006445876182767259305858605377695599660291750,000$
18Andreas Englund52X100.006351825881807757305656595167647399650242750,000$
19Colton White23X100.006343876274817861305957585365636299650231750,000$
20Josh Wesley62X100.006646855682737254305352554567646299620242750,000$
21Anton Cederholm (R)76X100.005940795080462950304444605050504499510252750,000$
Rayé
1Nikita Soshnikov48X100.005335736169565261505858535953514299580261750,000$
MOYENNE D'ÉQUIPE100.00644584617977746049585861576763639965
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
1Anton Forsberg100.00756664827473757473757475815799670
2Mike Condon100.00765351807574767574767578845699670
Rayé
1Adam Huska100.00706866896968706968706965696299640
MOYENNE D'ÉQUIPE100.0074626084737274737274737378589966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Hakstol75747574787866CAN539900,000$


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
1Nic PetanSCRANTON Penguins (PIT)LW7549651147620161063097224415.86%11129517.2771623441820001198563.06%51700001.76030001196
2Stefan NoesenSCRANTON Penguins (PIT)RW7540579775915181743079221513.03%10128417.135101551178000025062.07%8700011.5101000587
3William LagessonSCRANTON Penguins (PIT)D7421699052575104801776611611.86%93172123.26101525651690226234420.00%000011.0500001583
4Markus GranlundSCRANTON Penguins (PIT)C75364581521004216433513220410.75%14130017.3371219571740000118065.48%151800001.2512000567
5Jordan WealSCRANTON Penguins (PIT)C48215576562013821825414211.54%785317.7761218201240001144167.73%109400021.7801000551
6Steven FogartySCRANTON Penguins (PIT)C752542672912036165263822169.51%25135418.06681441172213162821164.70%162300000.9901000225
7Buddy RobinsonSCRANTON Penguins (PIT)RW75263965433959653262741689.92%9128717.17561148176000035061.46%9600001.0101010623
8Taylor RaddyshSCRANTON Penguins (PIT)RW752635614945583692587217710.08%8123416.4744838132000037158.23%7900010.9901100422
9Gabriel CarlssonSCRANTON Penguins (PIT)D758414957460934012237716.56%80163321.78268521790001231100.00%000000.6000000223
10Riley TufteSCRANTON Penguins (PIT)LW751723402461511640181571239.39%10104213.903141737179000085264.62%6500100.7700001113
11Gabriel GagneSCRANTON Penguins (PIT)RW75181836322206857182481219.89%13114415.2610138011121914072.37%7600000.6301000321
12Chase De LeoSCRANTON Penguins (PIT)C751817353018023821203911315.00%1079010.5401114213101991356.40%84400000.8901000022
13Andreas EnglundSCRANTON Penguins (PIT)D751313269561070375219471.92%49109814.6500011000018100.00%000000.5800020001
14Manuel WiedererSCRANTON Penguins (PIT)RW751416302660333615225759.21%1593112.420331048101122923163.93%6100000.6400000020
15Brett LernoutSCRANTON Penguins (PIT)D756222859660141286516399.23%73150620.0901110650112229100.00%000000.3700000111
16Ryan GroppSCRANTON Penguins (PIT)LW7510172732220503297306810.31%95567.4300006000002051.06%4700000.9711000002
17Brandon DavidsonSCRANTON Penguins (PIT)D75221233952098475229403.85%41128917.19000120221224000.00%000000.3600000000
18Josh WesleySCRANTON Penguins (PIT)D754182271340120214617188.70%43108914.5300000000011000.00%000000.4000000013
19Colton WhiteSCRANTON Penguins (PIT)D28358-2660182629102510.34%4843215.4520221280000270040.00%513000.3700000000
20Nick HenrySCRANTON Penguins (PIT)RW232571040232042110.00%11647.1700000000000071.43%700000.8500000000
21Anton CederholmSCRANTON Penguins (PIT)D7511210120159110139.09%143384.5100003000081000.00%000000.1200000000
22Nikita SoshnikovSCRANTON Penguins (PIT)LW3000-200104270.00%03010.1200000000000060.00%500000.0000000000
Stats d'équipe Total ou en Moyenne145134864299086366335141912513226977226310.79%5832238015.425810816650018395813622088601663.95%612413150.88213132505350
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
1Mike CondonSCRANTON Penguins (PIT)4134320.9201.89238362759420000.33333930332
2Anton ForsbergSCRANTON Penguins (PIT)3728710.9221.91210265678560001.000123639422
3Adam HuskaSCRANTON Penguins (PIT)10000.8405.5843004250000.000006000
Stats d'équipe Total ou en Moyenne79621030.9201.93453012714618230000.867157575754


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
Adam HuskaSCRANTON Penguins (PIT)G235/12/1997No103 Kg191 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$Lien
Andreas EnglundSCRANTON Penguins (PIT)D241/21/1996No86 Kg191 CMNoNoNo2Pro & Farm750,000$57,203$500,000$38,136$0$0$No750,000$Lien
Anton CederholmSCRANTON Penguins (PIT)D252/21/1995Yes93 Kg188 CMNoNoNo2Pro & Farm750,000$57,203$500,000$38,136$0$0$No750,000$
Anton ForsbergSCRANTON Penguins (PIT)G2711/27/1992No87 Kg191 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$Lien
Brandon DavidsonSCRANTON Penguins (PIT)D298/21/1991No95 Kg188 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Brett LernoutSCRANTON Penguins (PIT)D249/24/1995No97 Kg193 CMNoNoNo4Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$750,000$Lien
Buddy RobinsonSCRANTON Penguins (PIT)RW289/30/1991No105 Kg198 CMNoNoNo2Pro & Farm750,000$57,203$500,000$38,136$0$0$No750,000$Lien
Chase De LeoSCRANTON Penguins (PIT)C2410/25/1995No85 Kg175 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Colton WhiteSCRANTON Penguins (PIT)D235/3/1997No84 Kg185 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Gabriel CarlssonSCRANTON Penguins (PIT)D231/2/1997No87 Kg196 CMNoNoNo2Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$Lien
Gabriel GagneSCRANTON Penguins (PIT)RW2311/11/1996No85 Kg196 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Jordan WealSCRANTON Penguins (PIT)C284/15/1992No82 Kg178 CMNoNoNo1Pro & Farm1,200,000$91,525$1,200,000$91,525$0$0$NoLien
Josh WesleySCRANTON Penguins (PIT)D244/9/1996No89 Kg191 CMNoNoNo2Pro & Farm750,000$57,203$500,000$38,136$0$0$No750,000$Lien
Manuel WiedererSCRANTON Penguins (PIT)RW2311/21/1996No80 Kg185 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$Lien
Markus GranlundSCRANTON Penguins (PIT)C274/16/1993No82 Kg183 CMNoNoNo1Pro & Farm1,300,000$99,153$1,300,000$99,153$0$0$NoLien
Mike CondonSCRANTON Penguins (PIT)G304/27/1990No89 Kg188 CMNoNoNo3Pro & Farm2,400,000$183,051$2,400,000$183,051$0$0$No2,400,000$2,400,000$Lien
Nic PetanSCRANTON Penguins (PIT)LW253/22/1995No80 Kg175 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$Lien
Nick HenrySCRANTON Penguins (PIT)RW217/4/1999Yes86 Kg155 CMNoNoNo2Pro & Farm800,000$61,017$750,000$57,203$0$0$No800,000$
Nikita SoshnikovSCRANTON Penguins (PIT)LW2610/14/1993No84 Kg180 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Riley TufteSCRANTON Penguins (PIT)LW224/10/1998Yes107 Kg198 CMNoNoNo3Pro & Farm950,000$72,458$750,000$57,203$0$0$No950,000$950,000$
Ryan GroppSCRANTON Penguins (PIT)LW239/16/1996No85 Kg191 CMNoNoNo5Pro & Farm900,000$68,644$900,000$68,644$0$0$No900,000$900,000$900,000$900,000$Lien
Stefan NoesenSCRANTON Penguins (PIT)RW272/12/1993No93 Kg185 CMNoNoNo4Pro & Farm1,000,000$76,271$1,000,000$76,271$0$0$No1,000,000$1,000,000$1,000,000$Lien
Steven FogartySCRANTON Penguins (PIT)C274/19/1993No95 Kg191 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$Lien
Taylor RaddyshSCRANTON Penguins (PIT)RW222/18/1998No98 Kg191 CMNoNoNo2Pro & Farm750,000$57,203$500,000$38,136$0$0$No750,000$Lien
William LagessonSCRANTON Penguins (PIT)D242/22/1996Yes94 Kg188 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2524.8890 Kg188 CM2.32882,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nic PetanJordan WealStefan Noesen30122
2Taylor RaddyshMarkus GranlundBuddy Robinson30122
3Riley TufteSteven FogartyGabriel Gagne25122
4Ryan GroppChase De LeoManuel Wiederer15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1William LagessonBrandon Davidson32023
2Brett LernoutGabriel Carlsson32023
3Josh WesleyAndreas Englund24023
4William LagessonColton White12023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nic PetanJordan WealStefan Noesen50005
2Steven FogartyMarkus GranlundBuddy Robinson50005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Riley TufteWilliam Lagesson50014
2Taylor RaddyshGabriel Carlsson50014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Steven FogartyManuel Wiederer55122
2Chase De LeoGabriel Gagne45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1William LagessonBrandon Davidson55122
2Brett LernoutGabriel Carlsson45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Riley Tufte55131Josh WesleyColton White55131
2Manuel Wiederer45131Brett LernoutAndreas Englund45131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jordan WealStefan Noesen55122
2Markus GranlundBuddy Robinson45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1William LagessonBrandon Davidson55122
2Brett LernoutGabriel Carlsson45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Markus GranlundJordan WealStefan NoesenWilliam LagessonGabriel Gagne
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Riley TufteSteven FogartyTaylor RaddyshJosh WesleyGabriel Carlsson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Weal, Gabriel Gagne, Ryan GroppStefan Noesen, Markus GranlundSteven Fogarty
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gabriel Carlsson, Anton Cederholm, Brett LernoutWilliam LagessonColton White, Brett Lernout
Tirs de Pénalité
Jordan Weal, Nic Petan, Stefan Noesen, Markus Granlund, Steven Fogarty
Gardien
#1 : Mike Condon, #2 : Anton Forsberg
Lignes d'Attaque Perso. en Prol.
Jordan Weal, Stefan Noesen, Markus Granlund, Taylor Raddysh, Nic Petan, Riley Tufte, Riley Tufte, Chase De Leo, Gabriel Gagne, Manuel Wiederer, Buddy Robinson
Lignes de Défense Perso. en Prol.
William Lagesson, Gabriel Carlsson, Brett Lernout, Andreas Englund, Josh Wesley


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
1BAKERSFIELD Condors330000002812722000000231221100000050561.0002853810215599876253102210261128342541485100.00%50100.00%01790272765.64%1346218961.49%779117166.52%212115841532474881464
2BELLEVILLE Senators5500000045103522000000176113300000028424101.000458112600155998762371022102611283412434467319842.11%22577.27%11790272765.64%1346218961.49%779117166.52%212115841532474881464
3BINGHAMTON Devils51101110141223100101011742010010035-270.700142539001559987618110221026112834164335310215426.67%23386.96%01790272765.64%1346218961.49%779117166.52%212115841532474881464
4BRIDGEPORT Sound Tigers22000000734110000005231100000021141.0007142100155998764910221026112834721914419222.22%7185.71%01790272765.64%1346218961.49%779117166.52%212115841532474881464
5BROOKLYN Wolfpack21001000122101100000010191000100021141.00012223400155998769210221026112834451212305240.00%4175.00%01790272765.64%1346218961.49%779117166.52%212115841532474881464
6CAROLINA Checkers44000000409312200000024420220000001651181.0004075115001559987627310221026112834762330793266.67%13284.62%01790272765.64%1346218961.49%779117166.52%212115841532474881464
7CHICAGO Wolves51400000818-102020000018-731200000710-320.20081523001559987615310221026112834122294410518211.11%21576.19%01790272765.64%1346218961.49%779117166.52%212115841532474881464
8COLORADO Eagles11000000413110000004130000000000021.0004812001559987622102210261128343286162150.00%30100.00%01790272765.64%1346218961.49%779117166.52%212115841532474881464
9GRAND RAPIDS Griffins530001011798210000019453200010085380.800173047011559987619710221026112834136423011220315.00%14285.71%01790272765.64%1346218961.49%779117166.52%212115841532474881464
10HERSEY Bears21100000440110000002111010000023-120.500481200155998766110221026112834512420274125.00%100100.00%01790272765.64%1346218961.49%779117166.52%212115841532474881464
11IOWA Wild22000000615220000006150000000000041.0006121801155998769010221026112834361214226233.33%7185.71%01790272765.64%1346218961.49%779117166.52%212115841532474881464
12LAVAL Rocket21100000550110000003121010000024-220.500510150015599876571022102611283459212439400.00%11372.73%01790272765.64%1346218961.49%779117166.52%212115841532474881464
13LEHIGH VALLEY Phantoms321000001073220000006241010000045-140.667101828001559987610310221026112834813234619333.33%16287.50%01790272765.64%1346218961.49%779117166.52%212115841532474881464
14MANITOBA Moose76000010269174400000016412320000101055141.000264773021559987635210221026112834167505312620525.00%240100.00%01790272765.64%1346218961.49%779117166.52%212115841532474881464
15MILWAUKEE Admirals21100000651110000004221010000023-120.50069150015599876701022102611283450162029500.00%9366.67%01790272765.64%1346218961.49%779117166.52%212115841532474881464
16ONTARIO Reign31002000945210010007341000100021161.000916250015599876131102210261128347020184110110.00%70100.00%01790272765.64%1346218961.49%779117166.52%212115841532474881464
17PROVIDENCE Bruins330000001174110000004312200000074361.00011193000155998769910221026112834762232498225.00%16193.75%01790272765.64%1346218961.49%779117166.52%212115841532474881464
18ROCKFORD IceHogs22000000184141100000011291100000072541.000183351001559987610810221026112834472016415120.00%80100.00%11790272765.64%1346218961.49%779117166.52%212115841532474881464
19SAN ANTONIO Rampage22000000633110000002111100000042241.0006121800155998765310221026112834391416475240.00%8275.00%01790272765.64%1346218961.49%779117166.52%212115841532474881464
20SAN DIEGO Gulls2200000021318110000001028110000001111041.00021396000155998761441022102611283422910352150.00%50100.00%21790272765.64%1346218961.49%779117166.52%212115841532474881464
21STOCKTON Flames4400000017981100000043133000000136781.0001732490015599876151102210261128349533365419631.58%17382.35%01790272765.64%1346218961.49%779117166.52%212115841532474881464
22SYRACUSE Crunch22000000954110000005411100000041341.0009172600155998766310221026112834661332349555.56%15286.67%11790272765.64%1346218961.49%779117166.52%212115841532474881464
23TORONTO Marlies22000000844110000003121100000053241.00081523001559987610410221026112834341729424125.00%70100.00%01790272765.64%1346218961.49%779117166.52%212115841532474881464
24TUSCON Roadrunners330000001156110000003122200000084461.00011182900155998769610221026112834591218649222.22%60100.00%01790272765.64%1346218961.49%779117166.52%212115841532474881464
25UTICA Comets2110000057-2110000004041010000017-620.50059140115599876581022102611283475184853800.00%12283.33%01790272765.64%1346218961.49%779117166.52%212115841532474881464
Total75561004221347147200383220201119465129372480221015382711270.8473476379840715599876319710221026112834182353766914072195625.57%2903886.90%51790272765.64%1346218961.49%779117166.52%212115841532474881464
_Since Last GM Reset75561004221347147200383220201119465129372480221015382711270.8473476379840715599876319710221026112834182353766914072195625.57%2903886.90%51790272765.64%1346218961.49%779117166.52%212115841532474881464
_Vs Conference4834603221229941352519202011129478223154012101004753810.844229421650061559987621841022102611283411623254048941494127.52%1842586.41%21790272765.64%1346218961.49%779117166.52%212115841532474881464
_Vs Division1419101221472819810001011341321691002101315-2471.6794787134001559987648610221026112834413120133261421228.57%60788.33%01790272765.64%1346218961.49%779117166.52%212115841532474881464

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
75127W134763798431971823537669140707
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7556104221347147
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
38322201119465
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
37248221015382
Derniers 10 Matchs
WLOTWOTL SOWSOL
810001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2195625.57%2903886.90%5
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
1022102611283415599876
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
1790272765.64%1346218961.49%779117166.52%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
212115841532474881464


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2021-01-1812SCRANTON Penguins3MANITOBA Moose2WXXSommaire du Match
3 - 2021-01-1922MANITOBA Moose0SCRANTON Penguins2WSommaire du Match
5 - 2021-01-2138SCRANTON Penguins2CHICAGO Wolves5LSommaire du Match
6 - 2021-01-2247BINGHAMTON Devils3SCRANTON Penguins4WXXSommaire du Match
7 - 2021-01-2365SCRANTON Penguins10BELLEVILLE Senators1WSommaire du Match
8 - 2021-01-2469SCRANTON Penguins4STOCKTON Flames1WSommaire du Match
9 - 2021-01-2580BELLEVILLE Senators5SCRANTON Penguins8WSommaire du Match
11 - 2021-01-2795SCRANTON Penguins8CAROLINA Checkers4WSommaire du Match
12 - 2021-01-28103CHICAGO Wolves5SCRANTON Penguins1LSommaire du Match
14 - 2021-01-30119SCRANTON Penguins2GRAND RAPIDS Griffins0WSommaire du Match
15 - 2021-01-31128MANITOBA Moose1SCRANTON Penguins4WSommaire du Match
18 - 2021-02-03153ONTARIO Reign1SCRANTON Penguins2WXSommaire du Match
19 - 2021-02-04163SCRANTON Penguins2GRAND RAPIDS Griffins3LXSommaire du Match
20 - 2021-02-05177MANITOBA Moose0SCRANTON Penguins6WSommaire du Match
22 - 2021-02-07192CAROLINA Checkers3SCRANTON Penguins9WSommaire du Match
23 - 2021-02-08201SCRANTON Penguins2PROVIDENCE Bruins1WSommaire du Match
25 - 2021-02-10218HERSEY Bears1SCRANTON Penguins2WSommaire du Match
27 - 2021-02-12231SCRANTON Penguins2LAVAL Rocket4LSommaire du Match
28 - 2021-02-13240SCRANTON Penguins1BINGHAMTON Devils2LSommaire du Match
29 - 2021-02-14255SAN DIEGO Gulls2SCRANTON Penguins10WSommaire du Match
30 - 2021-02-15268PROVIDENCE Bruins3SCRANTON Penguins4WSommaire du Match
31 - 2021-02-16278SCRANTON Penguins11SAN DIEGO Gulls1WSommaire du Match
33 - 2021-02-18293MANITOBA Moose3SCRANTON Penguins4WSommaire du Match
34 - 2021-02-19309SCRANTON Penguins2HERSEY Bears3LSommaire du Match
36 - 2021-02-21321SCRANTON Penguins5BAKERSFIELD Condors0WSommaire du Match
37 - 2021-02-22332SCRANTON Penguins7BELLEVILLE Senators2WSommaire du Match
39 - 2021-02-24343BRIDGEPORT Sound Tigers2SCRANTON Penguins5WSommaire du Match
40 - 2021-02-25360BELLEVILLE Senators1SCRANTON Penguins9WSommaire du Match
42 - 2021-02-27374SCRANTON Penguins11BELLEVILLE Senators1WSommaire du Match
43 - 2021-02-28386UTICA Comets0SCRANTON Penguins4WSommaire du Match
45 - 2021-03-02399MILWAUKEE Admirals2SCRANTON Penguins4WSommaire du Match
46 - 2021-03-03411SCRANTON Penguins2ONTARIO Reign1WXSommaire du Match
47 - 2021-03-04422SCRANTON Penguins4SYRACUSE Crunch1WSommaire du Match
50 - 2021-03-07439IOWA Wild1SCRANTON Penguins3WSommaire du Match
51 - 2021-03-08453LAVAL Rocket1SCRANTON Penguins3WSommaire du Match
52 - 2021-03-09464SCRANTON Penguins4CHICAGO Wolves2WSommaire du Match
53 - 2021-03-10476SCRANTON Penguins4MANITOBA Moose2WSommaire du Match
55 - 2021-03-12490CHICAGO Wolves3SCRANTON Penguins0LSommaire du Match
56 - 2021-03-13503SCRANTON Penguins1UTICA Comets7LSommaire du Match
57 - 2021-03-14512LEHIGH VALLEY Phantoms1SCRANTON Penguins3WSommaire du Match
59 - 2021-03-16530TUSCON Roadrunners1SCRANTON Penguins3WSommaire du Match
60 - 2021-03-17545SCRANTON Penguins2BRIDGEPORT Sound Tigers1WSommaire du Match
61 - 2021-03-18549SCRANTON Penguins5TORONTO Marlies3WSommaire du Match
63 - 2021-03-20569BINGHAMTON Devils3SCRANTON Penguins4WXSommaire du Match
64 - 2021-03-21583SCRANTON Penguins1CHICAGO Wolves3LSommaire du Match
66 - 2021-03-23594ONTARIO Reign2SCRANTON Penguins5WSommaire du Match
67 - 2021-03-24609IOWA Wild0SCRANTON Penguins3WSommaire du Match
69 - 2021-03-26624SCRANTON Penguins5PROVIDENCE Bruins3WSommaire du Match
70 - 2021-03-27635LEHIGH VALLEY Phantoms1SCRANTON Penguins3WSommaire du Match
71 - 2021-03-28644SCRANTON Penguins2BINGHAMTON Devils3LXSommaire du Match
73 - 2021-03-30658BAKERSFIELD Condors0SCRANTON Penguins10WSommaire du Match
75 - 2021-04-01675SCRANTON Penguins7ROCKFORD IceHogs2WSommaire du Match
76 - 2021-04-02687BINGHAMTON Devils1SCRANTON Penguins3WSommaire du Match
77 - 2021-04-03693SCRANTON Penguins2BROOKLYN Wolfpack1WXSommaire du Match
79 - 2021-04-05713BAKERSFIELD Condors1SCRANTON Penguins13WSommaire du Match
80 - 2021-04-06722SCRANTON Penguins3MANITOBA Moose1WSommaire du Match
82 - 2021-04-08740TORONTO Marlies1SCRANTON Penguins3WSommaire du Match
84 - 2021-04-10752SCRANTON Penguins8CAROLINA Checkers1WSommaire du Match
85 - 2021-04-11760SCRANTON Penguins4GRAND RAPIDS Griffins2WSommaire du Match
86 - 2021-04-12769SCRANTON Penguins4LEHIGH VALLEY Phantoms5LSommaire du Match
87 - 2021-04-13780SAN ANTONIO Rampage1SCRANTON Penguins2WSommaire du Match
88 - 2021-04-14794SCRANTON Penguins4SAN ANTONIO Rampage2WSommaire du Match
90 - 2021-04-16806BROOKLYN Wolfpack1SCRANTON Penguins10WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19828SYRACUSE Crunch4SCRANTON Penguins5WSommaire du Match
94 - 2021-04-20842STOCKTON Flames3SCRANTON Penguins4WSommaire du Match
96 - 2021-04-22861COLORADO Eagles1SCRANTON Penguins4WSommaire du Match
97 - 2021-04-23871SCRANTON Penguins5STOCKTON Flames3WSommaire du Match
98 - 2021-04-24885ROCKFORD IceHogs2SCRANTON Penguins11WSommaire du Match
100 - 2021-04-26896SCRANTON Penguins2MILWAUKEE Admirals3LSommaire du Match
101 - 2021-04-27906SCRANTON Penguins4STOCKTON Flames2WSommaire du Match
102 - 2021-04-28916SCRANTON Penguins2TUSCON Roadrunners1WSommaire du Match
104 - 2021-04-30930GRAND RAPIDS Griffins2SCRANTON Penguins8WSommaire du Match
105 - 2021-05-01943SCRANTON Penguins6TUSCON Roadrunners3WSommaire du Match
106 - 2021-05-02955GRAND RAPIDS Griffins2SCRANTON Penguins1LXXSommaire du Match
108 - 2021-05-04970CAROLINA Checkers1SCRANTON Penguins15WSommaire du Match
110 - 2021-05-06983SCRANTON Penguins-COLORADO Eagles-
112 - 2021-05-081001STOCKTON Flames-SCRANTON Penguins-
113 - 2021-05-091011SCRANTON Penguins-CAROLINA Checkers-
115 - 2021-05-111027SYRACUSE Crunch-SCRANTON Penguins-
116 - 2021-05-121034SCRANTON Penguins-IOWA Wild-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,930,802$ 2,205,000$ 2,055,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,930,802$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 9 18,686$ 168,174$




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
3480372701203126418777401517060111161011540221006020148866210526446472816106845916286099391089575216464372314922664818.05%3155383.17%41663280759.24%1424253556.17%682114459.62%202514431844572987496
3480372701203126418777401517060111161011540221006020148866210526446472816106845916286099391089575216464372314922664818.05%3155383.17%41663280759.24%1424253556.17%682114459.62%202514431844572987496
3675561004221347147200383220201119465129372480221015382711273476379840715599876319710221026112834182353766914072195625.57%2903886.90%51790272765.64%1346218961.49%779117166.52%212115841532474881464
Total Saison Régulière235130640282838755213541186236014033426267159117682801425044925419533787515652440219367267205388917300828462918184615118232115439175115220.24%92014484.35%135116834161.34%4194725957.78%2143345961.95%617144715221162028551458
Séries
34734000001214-241300000610-432100000642612223401354021954816222227607414418211.11%34488.24%014224358.44%14627054.07%478455.95%183130176528743
Total Séries734000001214-241300000610-432100000642612223401354021954816222227607414418211.11%34488.24%014224358.44%14627054.07%478455.95%183130176528743