Comets

DG: Samuel Gendron-Mallet Morale : 33 Moyenne d'Équipe : 44
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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 SP
1Iiro PakarinenXX100.00763591687459505038485269453532021560
2Tyler PitlickX100.0069358867695835443533536147373405352X0
3Laurent Dauphin (R) (A)X100.00513583685553354743355870483532053520
4Micheal HaleyXXX100.00636541707050364258354861484643050510
5Jason Dickinson (R) (C)XX100.00503595686953353935354268483532053500
6Christoph Bertschy (R)XX100.00513595725947353535353563483532053480
7Sebastian Wannstrom (R)XXX100.00454545455645454545454545453230022450
8Chris Calnan (R)X100.00434343436143434343434343433230024440
9Maxim Letunov (R)X100.00454545454445454545454545453230038440
10Artur Gavrus (R)XX100.00373737375137373737373737373230056390
11Gustav Possler (R)XX100.00373737375737373737373737373230053390
12Cole Ully (R)XX100.00373737374637373737373737373230028380
13Jack HillenX100.00513587676052393735413364475447021530
14Dillon Fournier (R)X100.00454545455245454545454545453230047450
15Jack Glover (R)X100.00434343436243434343434343433230021440
16Ben Thomas (R)X100.00404040406140404040404040403230050420
17Dylan Labbe (R)X100.00404040405640404040404040403230052420
18Dmitry Sinitsyn (R)X100.00373737376637373737373737373230021400
Rayé
1Colin FraserX100.00544375686347344259424257476056020500
2Brendan Woods (R)XX100.00564368657452353535353563483532034480
3Ben Johnson (R)XX100.00434343435943434343434343433230020430
4Ben HanowskiXX100.00328436487333493335333346473734020410
5Daniel Zaar (R)X100.00373737374837373737373737373230045390
6Alexander Kerfoot (R)XX100.00373737374037373737373737373230020380
7Andreas EngqvistX100.00328931337033403335333333473734020370
8Carter CamperX100.00329030365033373335333340473532019370
9Spencer AbbottX100.00328535354933413335333335473532020370
10Keith AulieX100.00686155597657393735363767444741023540
11Stephen Silas (R)X100.00404040405740404040404040403230020410
12Matt CampanaleX100.00619327326433333335333333473532020390
13Daniel Walcott (R)X100.00373737374537373737373737373230044380
MOYENNE D'ÉQUIPE100.0046495148594339394038404843363303444
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
1Kaapo Kahkonen (R)100.0040404078404040404040403230021430
2Igor Shesterkin (R)100.0040404068404040404040403230020420
Rayé
1Mikko Koskinen100.0050383977453942393633333532013430
2Brendan Burke (R)100.0037373764373737373737373230020390
MOYENNE D'ÉQUIPE100.004239397241394039383838333101942
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Roy Sommer44807844967569USA592500,000$


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'ÉquipePOS GP 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
1Laurent DauphinComets (Van)C825066116880272174130012.11%48157219.18142539104288112182575145.78%162500011.48290005115
2Micheal HaleyComets (Van)C/LW/RW823253852157252391362560012.50%18128015.61161834592880001591158.70%63200011.3300212631
3Tyler PitlickComets (Van)RW8242408215001211142530016.60%42139116.97912216019711271923143.38%27200001.1827000747
4Christoph BertschyComets (Van)C/RW82214768-4200261591680012.50%37142917.43718254127113421511141.26%95000000.9500000013
5Jason DickinsonComets (Van)C/LW82382664-480361452290016.59%47133116.2393125020230351292142.12%46300000.9611000433
6Iiro PakarinenComets (Van)LW/RW2213253851804248760017.11%1946020.9324617861012930142.13%23500011.6512000302
7Brendan WoodsComets (Van)C/LW63121931-256115641261120010.71%2683913.320005340000541240.07%56900000.7400003211
8Dillon FournierComets (Van)D8221921-24106201683930006.67%63159419.44145102030000218000.00%000000.2600130002
9Gustav PosslerComets (Van)LW/RW8261117-343205729530011.32%593711.43000070001510029.27%8200000.3600000000
10Dylan LabbeComets (Van)D8251116-71031512839240020.83%74156819.1213492220110229100.00%000000.2000012001
11Maxim LetunovComets (Van)C687916-274315558990007.78%146649.771124250000571046.24%63800000.4800012000
12Ben ThomasComets (Van)D8221315-211081010521190010.53%64151318.4502272000000203100.00%000000.2000001100
13Daniel WalcottComets (Van)D7231215-2631510116180016.67%60130818.1700051260001193000.00%000000.2300012101
14Daniel ZaarComets (Van)RW7201010-16280492423000.00%786311.9903331130000110048.15%5400000.2300000000
15Dmitry SinitsynComets (Van)D46167-262056380012.50%2075516.42011359000058000.00%000000.1900000000
16Sebastian WannstromComets (Van)C/LW/RW10167-113551614007.14%112812.90000113000000035.71%7000001.0900001000
17Jack HillenComets (Van)D1015634021650020.00%1721321.39000035000135000.00%000000.5600000000
18Artur GavrusComets (Van)C/LW82033-34355423328000.00%1487410.6601122801111110040.45%17800000.0700100000
19Cole UllyComets (Van)LW/RW46213-201802315150013.33%24379.510001201011200062.50%3200000.1400000010
20Stephen SilasComets (Van)D16033-11602210000.00%1326816.77000028000025000.00%000000.2200000000
21Chris CalnanComets (Van)RW10202-155101690022.22%111611.6800003000180062.50%1600000.3400100001
22Jack GloverComets (Van)D10022-7001326000.00%919519.54000335000030000.00%000000.2000000000
23Colin FraserComets (Van)C3011000122000.00%23110.6600000000000056.25%3200000.6300000000
24Ben HanowskiComets (Van)LW/RW3000000000000.00%041.460000100002000.00%000000.0000000000
25Alexander KerfootComets (Van)C/RW2000020000000.00%1105.4100002000020050.00%400000.0000000000
26Carter CamperComets (Van)C13000-220322000.00%2735.640000120000160055.56%1800000.0000000000
27Ben JohnsonComets (Van)C/LW3000020211000.00%0237.940000000000000.00%000000.0000000000
28Keith AulieComets (Van)D2000-340611000.00%33718.880000600004000.00%000000.0000000000
29Matt CampanaleComets (Van)D3000000000000.00%020.930000200000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1294240388628-2169681301403131018550012.94%6091992815.4060951553842518871541221916845.13%587000030.636195713292427
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
1Kaapo KahkonenComets (Van)39161510.8784.2119670013811290400.786143026030
2Igor ShesterkinComets (Van)3881340.8873.851654401069400310.37582440011
3Mikko KoskinenComets (Van)70610.7876.7131300351640000.000073000
Stats d'équipe Total ou en Moyenne84243460.8754.2539364027922330710.636226169041


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Alexander KerfootComets (Van)C/RW211994-08-11Yes153 Lbs5 ft9NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Andreas EngqvistComets (Van)C271987-12-23No199 Lbs6 ft4NoNo1Avec RestrictionPro & Farm500,000$Lien
Artur GavrusComets (Van)C/LW211994-01-03Yes175 Lbs5 ft9NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Ben HanowskiComets (Van)LW/RW241990-10-18No210 Lbs6 ft2NoNo1Avec RestrictionPro & Farm900,000$Lien
Ben JohnsonComets (Van)C/LW211994-06-07Yes188 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm625,000$625,000$625,000$625,000$Lien
Ben ThomasComets (Van)D191996-05-28Yes190 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm650,000$650,000$650,000$650,000$Lien
Brendan BurkeComets (Van)G191996-05-11Yes176 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Brendan WoodsComets (Van)C/LW231992-06-11Yes210 Lbs6 ft4NoNo3Avec RestrictionPro & Farm900,000$900,000$900,000$Lien
Carter CamperComets (Van)C271988-07-06No173 Lbs5 ft9YesNo5Avec RestrictionPro & Farm750,000$750,000$750,000$750,000$750,000$Lien
Chris CalnanComets (Van)RW211994-05-05Yes187 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Christoph BertschyComets (Van)C/RW211994-04-05Yes189 Lbs5 ft10NoNo4Contrat d'EntréePro & Farm693,000$693,000$693,000$693,000$Lien
Cole UllyComets (Van)LW/RW201995-02-20Yes164 Lbs5 ft10NoNo4Contrat d'EntréePro & Farm620,000$620,000$620,000$620,000$Lien
Colin FraserComets (Van)C301985-01-28No190 Lbs6 ft1NoNo3Sans RestrictionPro & Farm500,000$500,000$500,000$Lien
Daniel WalcottComets (Van)D211994-02-19Yes161 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Daniel ZaarComets (Van)RW211994-04-24Yes167 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm650,000$650,000$650,000$650,000$Lien
Dillon FournierComets (Van)D211994-06-15Yes173 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm718,000$718,000$718,000$718,000$Lien
Dmitry SinitsynComets (Van)D211994-06-17Yes200 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Dylan LabbeComets (Van)D201995-01-09Yes180 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm667,000$667,000$667,000$667,000$Lien
Gustav PosslerComets (Van)LW/RW201994-11-11Yes183 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Igor ShesterkinComets (Van)G191995-12-30Yes187 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm650,000$650,000$650,000$650,000$Lien
Iiro PakarinenComets (Van)LW/RW241991-08-25No215 Lbs6 ft1NoNo3Avec RestrictionPro & Farm792,000$792,000$792,000$Lien
Jack GloverComets (Van)D191996-05-17Yes190 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Jack HillenComets (Van)D291986-01-24No190 Lbs5 ft10YesNo5Avec RestrictionPro & Farm875,000$875,000$875,000$875,000$875,000$Lien
Jason DickinsonComets (Van)C/LW201995-07-04Yes200 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Kaapo KahkonenComets (Van)G191996-08-16Yes209 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm650,000$650,000$650,000$650,000$Lien
Keith AulieComets (Van)D261989-06-11No222 Lbs6 ft6NoNo2Avec RestrictionPro & Farm650,000$650,000$Lien
Laurent DauphinComets (Van)C201995-03-27Yes180 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm718,000$718,000$718,000$718,000$Lien
Matt CampanaleComets (Van)D271988-02-14No200 Lbs5 ft11NoNo1Avec RestrictionPro & Farm500,000$Lien
Maxim LetunovComets (Van)C191996-02-20Yes155 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Micheal HaleyComets (Van)C/LW/RW291986-03-30No205 Lbs5 ft10NoNo3Avec RestrictionPro & Farm500,000$500,000$500,000$Lien
Mikko KoskinenComets (Van)G271988-07-18No202 Lbs6 ft6NoNo1Avec RestrictionPro & Farm500,000$Lien
Sebastian WannstromComets (Van)C/LW/RW241991-03-03Yes180 Lbs6 ft1NoNo4Avec RestrictionPro & Farm825,000$825,000$825,000$825,000$Lien
Spencer AbbottComets (Van)RW271988-04-30No170 Lbs5 ft9NoNo2Avec RestrictionPro & Farm500,000$500,000$Lien
Stephen SilasComets (Van)D231992-06-26Yes183 Lbs6 ft1NoNo4Avec RestrictionPro & Farm650,000$650,000$650,000$650,000$Lien
Tyler PitlickComets (Van)RW231991-11-01No202 Lbs6 ft0NoNo2Avec RestrictionPro & Farm900,000$900,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3522.66187 Lbs6 ft13.43662,371$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Iiro PakarinenLaurent DauphinTyler Pitlick40122
2Jason DickinsonMicheal HaleyChristoph Bertschy30122
3Gustav PosslerSebastian WannstromChris Calnan20122
4Artur GavrusMaxim LetunovCole Ully10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jack HillenDillon Fournier40122
2Jack GloverBen Thomas30122
3Dylan LabbeDmitry Sinitsyn20122
4Jack HillenDillon Fournier10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Iiro PakarinenLaurent DauphinTyler Pitlick60122
2Jason DickinsonMicheal HaleyChristoph Bertschy40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jack HillenDillon Fournier60122
2Jack GloverBen Thomas40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Iiro PakarinenTyler Pitlick60122
2Laurent DauphinMicheal Haley40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jack HillenDillon Fournier60122
2Jack GloverBen Thomas40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Iiro Pakarinen60122Jack HillenDillon Fournier60122
2Tyler Pitlick40122Jack GloverBen Thomas40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Iiro PakarinenTyler Pitlick60122
2Laurent DauphinMicheal Haley40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jack HillenDillon Fournier60122
2Jack GloverBen Thomas40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Iiro PakarinenLaurent DauphinTyler PitlickJack HillenDillon Fournier
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Iiro PakarinenLaurent DauphinTyler PitlickJack HillenDillon Fournier
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sebastian Wannstrom, Maxim Letunov, Chris CalnanSebastian Wannstrom, Maxim LetunovChris Calnan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan Labbe, Dmitry Sinitsyn, Jack GloverDylan LabbeDmitry Sinitsyn, Jack Glover
Tirs de Pénalité
Iiro Pakarinen, Tyler Pitlick, Laurent Dauphin, Micheal Haley, Jason Dickinson
Gardien
#1 : Kaapo Kahkonen, #2 : Igor Shesterkin


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
Admirals503011001625-9302001001218-62010100047-330.30016284400103113761314974779674856190627610328310.71%33681.82%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Falcons2010000169-31010000024-21000000145-110.25069150010311376135974779674856531814436116.67%7185.71%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Bruins2020000069-31010000046-21010000023-100.00069151010311376134374779674856652430415120.00%12375.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Crunch2020000037-41010000013-21010000024-200.00036910103113761362747796748568317423011218.18%16287.50%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Heat53200000191813300000015962020000049-560.60019294800103113761317074779674856175558012324416.67%35488.57%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Phantoms2020000049-51010000024-21010000025-300.000481200103113761344747796748568125274411218.18%11281.82%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Baby Hawks30200010718-111000001043120200000315-1220.33371118001031137613727477967485610433324211327.27%15566.67%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Monsters312000001117-61100000042220200000715-820.333111728001031137613657477967485611335456210440.00%18666.67%11124240446.76%1188256246.37%661149344.27%1831120420616531087520
Jayhawks3210000010100220000009541010000015-440.667101626001031137613627477967485611015445410330.00%16662.50%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Cougars21100000111011010000056-11100000064220.5001118290010311376134574779674856681636337228.57%12650.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Oil Kings53200000272252110000011101321000001612460.6002748750010311376131527477967485616860838930930.00%34973.53%11124240446.76%1188256246.37%661149344.27%1831120420616531087520
Sound Tigers201000101113-21010000047-31000001076120.50011162700103113761359747796748566421184715746.67%8275.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Monarchs412000011423-9210000011010020200000413-930.375142236001031137613937477967485613738546314214.29%14378.57%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Minnesota311001001011-1210001006511010000046-230.500101626001031137613867477967485611033226010220.00%11190.91%11124240446.76%1188256246.37%661149344.27%1831120420616531087520
Spiders20200000613-71010000046-21010000027-500.0006121800103113761357747796748565723204413323.08%9277.78%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Senators21100000141131100000010551010000046-220.50014243800103113761310874779674856931851586466.67%16381.25%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Manchots220000001248110000007251100000052341.0001218300010311376136574779674856541426289222.22%10190.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Wolf Pack22000000945110000004131100000053241.000912210010311376137674779674856622220451616.25%30100.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Sharks513000101821-3312000001112-12010001079-240.40018264400103113761314474779674856148615811521314.29%23578.26%21124240446.76%1188256246.37%661149344.27%1831120420616531087520
Chiefs30300000612-61010000024-22020000048-400.000611170010311376135974779674856803250607114.29%25580.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Thunder20200000410-61010000025-31010000025-300.000461000103113761348747796748566916205010110.00%10280.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Marlies20000110660100000105411000010012-130.75066120010311376135674779674856671816409222.22%8275.00%11124240446.76%1188256246.37%661149344.27%1831120420616531087520
Cabaret Lady Mary Ann20100100814-61000010045-11010000049-510.250814220010311376137774779674856822324527114.29%12375.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
IceCaps302000101114-32010001089-11010000035-220.33311193000103113761365747796748567827245813215.38%12375.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Chill5210001120182220000001073301000111011-170.7002030500010311376131527477967485617853658724520.83%28775.00%21124240446.76%1188256246.37%661149344.27%1831120420616531087520
Rocket2020000069-31010000046-21010000023-100.000691500103113761369747796748566220204013215.38%10190.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Bears20200000610-41010000024-21010000046-200.000611170010311376135374779674856571020341000.00%10460.00%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Caroline2020000047-31010000024-21010000023-100.000461000103113761338747796748563616193712216.67%6183.33%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Las Vegas31000110151321000010023-1210000101310350.833152237001031137613907477967485610627475721523.81%13469.23%01124240446.76%1188256246.37%661149344.27%1831120420616531087520
Vs Division2116001107095-25101200010353141104001003564-2950.1197011218200103113761349974779674856701202264393822024.39%1103072.73%21124240446.76%1188256246.37%661149344.27%1831120420616531087520
Vs Conference40122100430143174-3119860032074695214150011069105-36340.42514322937210103113761311037477967485613644005607791824223.08%2315576.19%41124240446.76%1188256246.37%661149344.27%1831120420616531087520
Since Last GM Reset82214501573300367-6741151800431166169-34162701142134198-64660.4023004797792010311376132318747796748562750832108316393837920.63%4379977.35%81124240446.76%1188256246.37%661149344.27%1831120420616531087520
Total82214501573300367-6741151800431166169-34162701142134198-64660.4023004797792010311376132318747796748562750832108316393837920.63%4379977.35%81124240446.76%1188256246.37%661149344.27%1831120420616531087520

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8266W2300479779231827508321083163920
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8221451573300367
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115180431166169
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
416271142134198
Derniers 10 Matchs
WLOTWOTL SOWSOL
350101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3837920.63%4379977.35%8
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
747796748561031137613
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
1124240446.76%1188256246.37%661149344.27%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1831120420616531087520


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
4 - 2016-10-1517Heat4Comets6WSommaire du Match
5 - 2016-10-1632Caroline4Comets2LSommaire du Match
7 - 2016-10-1837Chiefs4Comets2LSommaire du Match
9 - 2016-10-2061Crunch3Comets1LSommaire du Match
11 - 2016-10-2273Comets1Monarchs6LSommaire du Match
12 - 2016-10-2378Comets1Admirals5LSommaire du Match
14 - 2016-10-2591Senators5Comets10WSommaire du Match
17 - 2016-10-28111Oil Kings7Comets4LSommaire du Match
18 - 2016-10-29119Bears4Comets2LSommaire du Match
22 - 2016-11-02143Comets2Rocket3LSommaire du Match
23 - 2016-11-03153Comets4Senators6LSommaire du Match
25 - 2016-11-05163Comets1Marlies2LXSommaire du Match
27 - 2016-11-07181Comets7Sound Tigers6WXXSommaire du Match
28 - 2016-11-08184Comets5Wolf Pack3WSommaire du Match
30 - 2016-11-10197Comets6Cougars4WSommaire du Match
33 - 2016-11-13224Jayhawks3Comets5WSommaire du Match
35 - 2016-11-15240Wolf Pack1Comets4WSommaire du Match
37 - 2016-11-17250Chill3Comets5WSommaire du Match
39 - 2016-11-19264Baby Hawks3Comets4WXXSommaire du Match
43 - 2016-11-23297Comets3Chill2WXXSommaire du Match
45 - 2016-11-25307Comets1Jayhawks5LSommaire du Match
46 - 2016-11-26319Comets4Monsters8LSommaire du Match
49 - 2016-11-29339Minnesota2Comets4WSommaire du Match
51 - 2016-12-01356Admirals3Comets2LSommaire du Match
53 - 2016-12-03362Marlies4Comets5WXXSommaire du Match
56 - 2016-12-06390Comets2Spiders7LSommaire du Match
58 - 2016-12-08399Comets2Thunder5LSommaire du Match
60 - 2016-12-10412Comets4Cabaret Lady Mary Ann9LSommaire du Match
61 - 2016-12-11423Comets4Bears6LSommaire du Match
63 - 2016-12-13440Comets2Caroline3LSommaire du Match
66 - 2016-12-16458Thunder5Comets2LSommaire du Match
68 - 2016-12-18475Falcons4Comets2LSommaire du Match
70 - 2016-12-20491IceCaps3Comets4WXXSommaire du Match
72 - 2016-12-22504IceCaps6Comets4LSommaire du Match
73 - 2016-12-23506Comets2Heat5LSommaire du Match
78 - 2016-12-28531Monarchs6Comets5LXXSommaire du Match
80 - 2016-12-30547Admirals6Comets2LSommaire du Match
81 - 2016-12-31550Comets5Oil Kings2WSommaire du Match
83 - 2017-01-02564Monsters2Comets4WSommaire du Match
85 - 2017-01-04573Chill4Comets5WSommaire du Match
87 - 2017-01-06589Heat4Comets5WSommaire du Match
88 - 2017-01-07598Comets2Heat4LSommaire du Match
91 - 2017-01-10615Comets7Las Vegas6WXXSommaire du Match
93 - 2017-01-12624Comets2Phantoms5LSommaire du Match
96 - 2017-01-15653Spiders6Comets4LSommaire du Match
98 - 2017-01-17670Las Vegas3Comets2LXSommaire du Match
101 - 2017-01-20690Cabaret Lady Mary Ann5Comets4LXSommaire du Match
103 - 2017-01-22706Comets1Baby Hawks7LSommaire du Match
106 - 2017-01-25726Comets3Monsters7LSommaire du Match
107 - 2017-01-26736Comets3Chill4LSommaire du Match
114 - 2017-02-02765Sharks5Comets3LSommaire du Match
116 - 2017-02-04782Minnesota3Comets2LXSommaire du Match
119 - 2017-02-07798Comets6Las Vegas4WSommaire du Match
121 - 2017-02-09811Comets4Falcons5LXXSommaire du Match
123 - 2017-02-11815Comets2Bruins3LSommaire du Match
124 - 2017-02-12833Comets2Crunch4LSommaire du Match
126 - 2017-02-14837Comets5Manchots2WSommaire du Match
128 - 2017-02-16850Comets1Chiefs3LSommaire du Match
130 - 2017-02-18867Heat1Comets4WSommaire du Match
131 - 2017-02-19876Phantoms4Comets2LSommaire du Match
137 - 2017-02-25904Sharks3Comets5WSommaire du Match
140 - 2017-02-28923Cougars6Comets5LSommaire du Match
142 - 2017-03-02945Comets4Sharks3WXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2017-03-04961Comets3Monarchs7LSommaire du Match
145 - 2017-03-05967Comets3Admirals2WXSommaire du Match
147 - 2017-03-07980Rocket6Comets4LSommaire du Match
149 - 2017-03-09988Sound Tigers7Comets4LSommaire du Match
151 - 2017-03-111000Manchots2Comets7WSommaire du Match
153 - 2017-03-131021Bruins6Comets4LSommaire du Match
156 - 2017-03-161047Jayhawks2Comets4WSommaire du Match
158 - 2017-03-181061Comets5Oil Kings6LSommaire du Match
161 - 2017-03-211084Comets2Baby Hawks8LSommaire du Match
163 - 2017-03-231095Comets3Chiefs5LSommaire du Match
165 - 2017-03-251105Comets4Minnesota6LSommaire du Match
166 - 2017-03-261120Comets3IceCaps5LSommaire du Match
168 - 2017-03-281135Admirals9Comets8LXSommaire du Match
171 - 2017-03-311155Monarchs4Comets5WSommaire du Match
173 - 2017-04-021172Sharks4Comets3LSommaire du Match
175 - 2017-04-041186Comets3Sharks6LSommaire du Match
177 - 2017-04-061205Comets4Chill5LXXSommaire du Match
179 - 2017-04-081218Oil Kings3Comets7WSommaire du Match
180 - 2017-04-091228Comets6Oil Kings4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance6096930466
Assistance PCT74.35%74.31%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2230 - 74.34% 63,193$2,590,905$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,318,300$ 2,318,300$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
2,956,426$ 12,808$ 2,453,630$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 15,571$ 0$




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
201682214501573300367-6741151800431166169-34162701142134198-64423004797792010311376132318747796748562750832108316393837920.63%4379977.35%81124240446.76%1188256246.37%661149344.27%1831120420616531087520
Total Saison Régulière82214501573300367-6741151800431166169-34162701142134198-64423004797792010311376132318747796748562750832108316393837920.63%4379977.35%81124240446.76%1188256246.37%661149344.27%1831120420616531087520