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Checkers

GP: 50 | W: 32 | L: 18 | OTL: 0 | P: 64
GF: 176 | GA: 163 | PP%: 25.00% | PK%: 75.23%
DG: Christopher Dorion | Morale : 50 | Moyenne d'Équipe : 60
Prochain matchs #759 vs Devils
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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
1Anthony PelusoX100.00684882598874735854575760597971050620301650,000$
2Corey TroppX100.00596266617382835958605756617971050610301650,000$
3Nick LappinX100.00584289607279736154585962607565050610261700,000$
4Taylor LeierX100.00534588606881836256586159607166050610251700,000$
5Cole BardreauX100.00574387596771695754565855577368050600262700,000$
6Colton BeckX100.00554590537086885252545553557870050590291675,000$
7Myles PowellX100.00533985586471735755565453587166050580251650,000$
8Josh MelnickX100.00533987575676785664555251576965039570241925,000$
9Mark AltX100.00654789598776745830575760537779050620271725,000$
10Chad RuhwedelX100.00763984607178675930585566487869050620292700,000$
11Keaton ThompsonX100.00564886577183845630555153456965050580241650,000$
12Blake HillmanX100.00614589547681835230515153466764046570231650,000$
Rayé
1Zachary LeslieX100.00544886596985885730585356457166039600251650,000$
MOYENNE D'ÉQUIPE100.0059458558727978574656555754746804860
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
1Igor Shesterkin100.0081747277807981807981806973050680
2Adam Carlson100.0061525083605961605961607175050580
Rayé
MOYENNE D'ÉQUIPE100.007163618070697170697170707405063
Nom du Coach 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
1Mark AltCheckers (CAR)D501543581042015486132498011.36%118121024.221071763112011384200.00%000000.9600000455
2Corey TroppCheckers (CAR)RW502330530255200103260661858.85%32118123.6428104310610141062253.01%8300000.9037001642
3Nick LappinCheckers (CAR)RW502923522155801012436417511.93%3595519.11000011123464447.76%13400011.0926010344
4Anthony PelusoCheckers (CAR)RW50153550614016693181581658.29%28114522.90212141810002211052144.68%52600000.8727000323
5Taylor LeierCheckers (CAR)LW5023264934033802065117011.17%2398319.679716361011123485247.22%7200001.0035000154
6Myles PowellCheckers (CAR)LW50132437-3407974148371108.78%1786117.23000030001131143.42%7600000.8611000123
7Chad RuhwedelCheckers (CAR)D50112637-156601716911835729.32%84100020.023584694011049200.00%100000.7400000041
8Colton BeckCheckers (CAR)LW50152136-71606855158411269.49%23102120.44178211080001403250.49%10300000.7000000111
9Cole BardreauCheckers (CAR)C50122032314046120121391119.92%1593918.794812191010000113147.30%138700000.6823000121
10Keaton ThompsonCheckers (CAR)D502252752610100383713275.41%7877415.500002200006000.00%000000.7000110010
11Blake HillmanCheckers (CAR)D40511167100812834131914.71%4064616.1600000000136110.00%000000.4900000102
12Zachary LeslieCheckers (CAR)D4121012-134028465725363.51%3383620.391233085011052000.00%000000.2900000000
13Matt IrwinHurricanesD11178114049321414267.14%2025723.43011429000011010.00%000000.6200000101
14Josh MelnickCheckers (CAR)C14246-1401245246298.33%326919.28011331000000050.00%34400000.4400000000
Stats d'équipe Total ou en Moyenne606168305473-2258201267970173351113319.69%5491208519.94325890285878371017613251547.32%272600010.781329121223027
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
1Igor ShesterkinCheckers (CAR)50311700.9143.2629444216018510000.82829500835
2Adam CarlsonCheckers (CAR)31100.9542.0289003650000.0000050000
Stats d'équipe Total ou en Moyenne53321800.9153.2230344216319160000.828295050835


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 Cap 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 CarlsonCheckers (CAR)G251994-02-13No196 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien
Anthony PelusoCheckers (CAR)RW301989-04-18No225 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Blake HillmanCheckers (CAR)D231996-01-26No193 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Chad RuhwedelCheckers (CAR)D291990-05-07No191 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Cole BardreauCheckers (CAR)C261993-07-22No185 Lbs5 ft10NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Colton BeckCheckers (CAR)LW291990-06-10No187 Lbs5 ft11NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Corey TroppCheckers (CAR)RW301989-07-25No192 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Igor ShesterkinCheckers (CAR)G231995-12-30No182 Lbs6 ft2NoNoNo2Pro & Farm3,775,000$0$0$No3,775,000$Lien
Josh MelnickCheckers (CAR)C241995-07-10No175 Lbs5 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Keaton ThompsonCheckers (CAR)D241995-09-14No182 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Mark AltCheckers (CAR)D271991-10-18No201 Lbs6 ft4NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Myles PowellCheckers (CAR)LW251994-07-24No174 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$NoLien
Nick LappinCheckers (CAR)RW261992-11-01No175 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Taylor LeierCheckers (CAR)LW251994-02-15No180 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Zachary LeslieCheckers (CAR)D251994-01-31No175 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1526.07188 Lbs6 ft01.20915,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor LeierCole BardreauAnthony Peluso30122
2Colton BeckCorey Tropp30122
3Myles PowellNick Lappin25122
4Corey TroppAnthony PelusoNick Lappin15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark Alt30122
2Chad Ruhwedel30122
3Keaton Thompson25122
4Mark Alt15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Taylor LeierCole BardreauAnthony Peluso60122
2Colton BeckCorey Tropp40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark Alt60122
2Chad Ruhwedel40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anthony PelusoCorey Tropp60122
2Nick LappinTaylor Leier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark Alt60122
2Chad Ruhwedel40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anthony Peluso60122Mark Alt60122
2Corey Tropp40122Chad Ruhwedel40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anthony PelusoCorey Tropp60122
2Nick LappinTaylor Leier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark Alt60122
2Chad Ruhwedel40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor LeierCole BardreauAnthony PelusoMark Alt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor LeierCole BardreauAnthony PelusoMark Alt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Myles Powell, Cole Bardreau, Colton BeckMyles Powell, Cole BardreauColton Beck
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Keaton Thompson, , Chad RuhwedelKeaton Thompson, Chad Ruhwedel
Tirs de Pénalité
Anthony Peluso, Corey Tropp, Nick Lappin, Taylor Leier, Cole Bardreau
Gardien
#1 : Igor Shesterkin, #2 : Adam Carlson


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
1Admirals11000000321110000003210000000000021.000358006851491430562581583452613629000.00%3166.67%0664176737.58%713196836.23%30083435.97%11327811270359634307
2Americans22000000862000000000002200000086241.000815230068514914595625815834579244575120.00%2150.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
3Bears21100000642110000003031010000034-120.5006121801685149141025625815834574186684125.00%3166.67%0664176737.58%713196836.23%30083435.97%11327811270359634307
4Bruins3120000079-2211000004401010000035-220.333713200068514914925625815834599296768112.50%3166.67%0664176737.58%713196836.23%30083435.97%11327811270359634307
5Condors11000000514110000005140000000000021.00051015006851491484562581583452911430000.00%20100.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
6Crunch1010000026-4000000000001010000026-400.000246006851491420562581583455127827200.00%40100.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
7Eagles2200000012840000000000022000000128441.0001221330068514914775625815834573219415240.00%20100.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
8Griffins10000010211000000000001000001021121.00022400685149142856258158345257636400.00%30100.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
9Gulls2110000057-2110000004311010000014-320.50059140068514914785625815834590308662150.00%3166.67%0664176737.58%713196836.23%30083435.97%11327811270359634307
10Heat4220000014140312000001011-11100000043140.50014264000685149141635625815834516050331384250.00%12375.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
11IceHogs1010000024-2000000000001010000024-200.000246006851491423562581583454513421300.00%20100.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
12Marlies10000010651100000106510000000000021.00069150068514914395625815834539188303133.33%4175.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
13Monsters21000010853100000104311100000042241.000812200068514914635625815834563141030400.00%4325.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
14Moose201000106601010000034-11000001032120.5006814006851491470562581583457526849300.00%3166.67%0664176737.58%713196836.23%30083435.97%11327811270359634307
15Penguins11000000853110000008530000000000021.000816240068514914575625815834530118295120.00%20100.00%1664176737.58%713196836.23%30083435.97%11327811270359634307
16Phantoms2110000046-22110000046-20000000000020.5004812006851491443562581583451022420473133.33%9277.78%0664176737.58%713196836.23%30083435.97%11327811270359634307
17Rampage21000010853100000104311100000042241.0008111900685149147356258158345932110616116.67%50100.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
18Reign1010000025-3000000000001010000025-300.000246006851491419562581583455091214100.00%4325.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
19Roadrunners3120000067-1110000003032020000037-420.333611170168514914945625815834588171473500.00%7185.71%0664176737.58%713196836.23%30083435.97%11327811270359634307
20Rocket3200001013103220000007521000001065161.00013213400685149141055625815834510023177911436.36%40100.00%1664176737.58%713196836.23%30083435.97%11327811270359634307
21Senators21100000990000000000002110000099020.50091726006851491453562581583451042512494250.00%6183.33%1664176737.58%713196836.23%30083435.97%11327811270359634307
22Sound Tigers330000001257220000008351100000042261.0001221330068514914975625815834511645216313323.08%6183.33%0664176737.58%713196836.23%30083435.97%11327811270359634307
23Stars1010000037-4000000000001010000037-400.0003690068514914415625815834555126244375.00%3166.67%0664176737.58%713196836.23%30083435.97%11327811270359634307
24Thunderbirds2010001078-11010000035-21000001043120.5007101700685149147356258158345772110448225.00%5260.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
Total50241801070176163132414700030846618261011010409297-5640.6401763064820268514914174256258158345191656626812891283225.00%1092775.23%4664176737.58%713196836.23%30083435.97%11327811270359634307
25Wild10001000761000000000001000100076121.00071320006851491433562581583454596237342.86%3166.67%1664176737.58%713196836.23%30083435.97%11327811270359634307
26Wolf Pack22000000642110000002111100000043141.000610160068514914765625815834566262506116.67%10100.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
27Wolves2020000058-31010000035-21010000023-100.000581300685149145056258158345622210358225.00%4250.00%0664176737.58%713196836.23%30083435.97%11327811270359634307
_Since Last GM Reset50241801070176163132414700030846618261011010409297-5640.6401763064820268514914174256258158345191656626812891283225.00%1092775.23%4664176737.58%713196836.23%30083435.97%11327811270359634307
_Vs Conference241470003088771113930001045341111540002043430340.70888156244016851491481656258158345937291122619721825.00%491079.59%3664176737.58%713196836.23%30083435.97%11327811270359634307
_Vs Division129500010442915873000002918114220001015114200.83344791230168514914438562581583454511386728735720.00%25772.00%1664176737.58%713196836.23%30083435.97%11327811270359634307

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5064W117630648217421916566268128902
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5024181070176163
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2414700308466
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
26101110409297
Derniers 10 Matchs
WLOTWOTL SOWSOL
611020
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1283225.00%1092775.23%4
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
5625815834568514914
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
664176737.58%713196836.23%30083435.97%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11327811270359634307


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 - 2020-10-053Checkers1Roadrunners2LSommaire du Match
3 - 2020-10-0722Roadrunners0Checkers3WSommaire du Match
5 - 2020-10-0935Rocket1Checkers2WSommaire du Match
7 - 2020-10-1149Checkers2Griffins1WXXSommaire du Match
10 - 2020-10-1470Monsters3Checkers4WXXSommaire du Match
12 - 2020-10-1682Checkers4Wolf Pack3WSommaire du Match
14 - 2020-10-18100Sound Tigers1Checkers5WSommaire du Match
16 - 2020-10-20118Checkers3Americans2WSommaire du Match
18 - 2020-10-22131Penguins5Checkers8WSommaire du Match
20 - 2020-10-24142Checkers2Roadrunners5LSommaire du Match
21 - 2020-10-25152Checkers5Senators6LSommaire du Match
24 - 2020-10-28168Checkers4Thunderbirds3WXXSommaire du Match
25 - 2020-10-29182Heat3Checkers1LSommaire du Match
28 - 2020-11-01197Checkers3Bears4LSommaire du Match
30 - 2020-11-03212Bruins1Checkers0LSommaire du Match
32 - 2020-11-05227Checkers2Crunch6LSommaire du Match
34 - 2020-11-07242Heat4Checkers6WSommaire du Match
36 - 2020-11-09255Checkers1Gulls4LSommaire du Match
38 - 2020-11-11273Thunderbirds5Checkers3LSommaire du Match
41 - 2020-11-14295Checkers4Monsters2WSommaire du Match
42 - 2020-11-15303Wolf Pack1Checkers2WSommaire du Match
45 - 2020-11-18326Rocket4Checkers5WSommaire du Match
47 - 2020-11-20341Checkers3Bruins5LSommaire du Match
49 - 2020-11-22354Condors1Checkers5WSommaire du Match
50 - 2020-11-23366Checkers6Rocket5WXXSommaire du Match
53 - 2020-11-26386Checkers4Sound Tigers2WSommaire du Match
54 - 2020-11-27396Bears0Checkers3WSommaire du Match
57 - 2020-11-30416Checkers2Reign5LSommaire du Match
58 - 2020-12-01429Moose4Checkers3LSommaire du Match
60 - 2020-12-03445Checkers2IceHogs4LSommaire du Match
63 - 2020-12-06460Admirals2Checkers3WSommaire du Match
65 - 2020-12-08473Checkers2Wolves3LSommaire du Match
67 - 2020-12-10487Phantoms3Checkers0LSommaire du Match
69 - 2020-12-12501Checkers7Eagles6WSommaire du Match
71 - 2020-12-14519Bruins3Checkers4WSommaire du Match
73 - 2020-12-16532Checkers5Eagles2WSommaire du Match
74 - 2020-12-17543Checkers5Americans4WSommaire du Match
77 - 2020-12-20557Wolves5Checkers3LSommaire du Match
79 - 2020-12-22575Checkers3Stars7LSommaire du Match
80 - 2020-12-23584Marlies5Checkers6WXXSommaire du Match
83 - 2020-12-26607Checkers7Wild6WXSommaire du Match
84 - 2020-12-27615Checkers4Senators3WSommaire du Match
86 - 2020-12-29622Sound Tigers2Checkers3WSommaire du Match
89 - 2021-01-01647Heat4Checkers3LSommaire du Match
91 - 2021-01-03659Checkers4Heat3WSommaire du Match
93 - 2021-01-05677Rampage3Checkers4WXXSommaire du Match
95 - 2021-01-07691Checkers4Rampage2WSommaire du Match
97 - 2021-01-09707Gulls3Checkers4WSommaire du Match
100 - 2021-01-12727Checkers3Moose2WXXSommaire du Match
102 - 2021-01-14740Phantoms3Checkers4WSommaire du Match
104 - 2021-01-16759Checkers-Devils-
106 - 2021-01-18770Stars-Checkers-
109 - 2021-01-21789Checkers-Thunderbirds-
111 - 2021-01-23802Eagles-Checkers-
113 - 2021-01-25814Checkers-Phantoms-
115 - 2021-01-27831Penguins-Checkers-
119 - 2021-01-31858Roadrunners-Checkers-
121 - 2021-02-02870Checkers-Condors-
124 - 2021-02-05892Crunch-Checkers-
126 - 2021-02-07901Checkers-Admirals-
128 - 2021-02-09919Checkers-Crunch-
129 - 2021-02-10928Monsters-Checkers-
133 - 2021-02-14952Reign-Checkers-
135 - 2021-02-16971Checkers-Marlies-
137 - 2021-02-18981Checkers-Roadrunners-
138 - 2021-02-19989Devils-Checkers-
140 - 2021-02-211007Checkers-Comets-
142 - 2021-02-231020Senators-Checkers-
145 - 2021-02-261042Checkers-Marlies-
146 - 2021-02-271051Monsters-Checkers-
149 - 2021-03-021069Checkers-Wolf Pack-
151 - 2021-03-041083Devils-Checkers-
152 - 2021-03-051093Checkers-Bears-
155 - 2021-03-081113Comets-Checkers-
157 - 2021-03-101131Checkers-Penguins-
159 - 2021-03-121145Griffins-Checkers-
162 - 2021-03-151167Checkers-Barracuda-
163 - 2021-03-161176Americans-Checkers-
168 - 2021-03-211200Wild-Checkers-
174 - 2021-03-271231IceHogs-Checkers-
177 - 2021-03-301248Barracuda-Checkers-
179 - 2021-04-011257Checkers-Griffins-



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
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
772,236$ 1,372,500$ 325,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 772,236$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 80 7,541$ 603,280$




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
2823632062422582342441211303112134113214115190313012412137225843969706100886016269888892785851269674668612433616618.28%2313883.55%21334264250.49%1319288345.75%614127648.12%1840125720736371054507
3823732034152372231441151802213113120-7412214012021241032174237423660249179637257685784784555259177269813913175717.98%2764782.97%11480274353.96%1410278850.57%679129052.64%1952134719626051050524
4822340001126180191-1141141500093968313419250013384108-244618029947933614463192074686697666982774811119120385569016.19%4976986.12%7949261636.28%1160336734.45%412112936.49%1905126920896521016497
58296701311162419-257414340101182209-127415330030080210-130181622864480266583622010685661650194556127926215071673722.16%962475.00%1660193134.18%963323729.75%415133531.09%12638632765572909376
682274801222227327-10041152101220129147-184112270000298180-82542273936202276806852874945919992384762133929522561913920.42%1232480.49%4948263036.05%1375415633.08%457129535.29%150110282499585945418
782225006031268329-6141122303021154164-1041102703010114165-514426843670460998674123223100410851106454038117138322392094822.97%1664672.29%21118293938.04%1216361233.67%476137034.74%171912122266575970453
882382902436354258964122130112218412955411616013141701294176354605959241391347611352010471244120269331688935319311594125.79%1452682.07%51423287849.44%1556324847.91%656137647.67%204715131960536974489
882382902436354258964122130112218412955411616013141701294176354605959241391347611352010471244120269331688935319311594125.79%1452682.07%51423287849.44%1556324847.91%656137647.67%204715131960536974489
950241801070176163132414700030846618261011010409297-5641763064820268514914174256258158345191656626812891283225.00%1092775.23%4664176737.58%713196836.23%30083435.97%11327811270359634307
Total Saison Régulière70625434502220362922162402-1863521391570127231411601160035411518801013131510561242-18652422163792600817278397545659724237772182058104489299658462448915825224745120.07%178832781.71%3199992302443.43%112682850739.53%46651128141.35%154111078718847506185304064
Séries
21899000004750-3844000002122-11055000002628-21847791260118131605551881731877624170105239931617.20%471176.60%026657945.94%28668241.94%11226442.42%406278452143226108
31257000002835-751400000812-4743000002023-310285078011013413621031211092940811814825047612.77%671577.61%225040861.27%26445158.54%11519459.28%3212183089817086
Total Séries301416000007585-101358000002934-51798000004651-528751292040228262019172912942963610322882534891402215.71%1142677.19%251698752.28%550113348.54%22745849.56%727496760242397195