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Connexion

Comets
GP: 82 | W: 25 | L: 48 | OTL: 9 | P: 59
GF: 214 | GA: 304 | PP%: 9.12% | PK%: 78.38%
DG: Mathias | Morale : 50 | Moyenne d’équipe : 58

Centre de jeu
Americans
61-18-3, 125pts
2
FINAL
1 Comets
25-48-9, 59pts
Team Stats
W2SéquenceL4
32-8-1Fiche domicile14-21-6
29-10-2Fiche domicile11-27-3
5-4-1Derniers 10 matchs4-5-1
4.10Buts par match 2.61
1.65Buts contre par match 3.71
17.89%Pourcentage en avantage numérique9.12%
90.00%Pourcentage en désavantage numérique78.38%
Phantoms
55-22-5, 115pts
9
FINAL
0 Comets
25-48-9, 59pts
Team Stats
W2SéquenceL4
30-9-2Fiche domicile14-21-6
25-13-3Fiche domicile11-27-3
7-3-0Derniers 10 matchs4-5-1
4.16Buts par match 2.61
1.89Buts contre par match 3.71
19.48%Pourcentage en avantage numérique9.12%
88.00%Pourcentage en désavantage numérique78.38%
Meneurs d'équipe
Buts
Cole Schwindt
59
Passes
Jakub Demek
40
Points
Cole Schwindt
78
Plus/Moins
Jakub Demek
36
Victoires
Mads Sogaard
25
Pourcentage d’arrêts
Mads Sogaard
0.894

Statistiques d’équipe
Buts pour
214
2.61 GFG
Tirs pour
2183
26.62 Avg
Pourcentage en avantage numérique
9.1%
30 GF
Début de zone offensive
33.0%
Buts contre
304
3.71 GAA
Tirs contre
2722
33.20 Avg
Pourcentage en désavantage numérique
78.4%%
40 GA
Début de la zone défensive
47.0%
Informations de l'équipe

Directeur généralMathias
EntraîneurMike Vellucci
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,842
Billets de saison0


Informations de la formation

Équipe Pro18
Équipe Mineure20
Limite contact 38 / 51
Espoirs30


Historique d'équipe

Saison actuelle25-48-9 (59PTS)
Historique25-48-2 (0.333%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0 - 4 (0.000%)
Coupe Stanley0


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
1Alexander HoltzXX100.0069429379715986623262586125606064506302411,000,000$
2Liam Ohgren (R)X100.007543977268588167256158652546466450620223886,666$
3Jan Jenik (R)X100.006973617173687061765760615746466250600251925,000$
4Jakub DemekX100.008377976577555461766156685344446350600222851,683$
5Cole Schwindt (R)XX100.007544997075546159686355652548486250600242925,000$
6Walker DuehrX100.0085469977785262592954586325555563506002811,000,000$
7Josh BloomX100.007869998069353155506244644244445750560222902,500$
8Ryan LohinX100.007570876670464554684756625344445850550292925,000$
9Aatu Jamsen (R)X100.007367876367464553504557615444445850540223852,500$
10Patrick Guay (R)X100.006762796062424246584344564244444950500232775,000$
11Topias VilenX100.007772886372687351254939623744445550590232902,500$
12Elias Salomonsson (R)X100.007570866670656853255042624044445550590213815,000$
13Domenick Fensore (R)X100.006862836562798555254848594644445850590243775,000$
14Max LajoieX100.007671866671555654255241633944445550580281850,000$
15Hunter DrewXX100.006678396678697355254056585344445850580272850,000$
16Jake MassieX100.008074936374403944253142624044445050540291825,000$
Rayé
MOYENNE D’ÉQUIPE100.00746486687156615643525162414646585058
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Mads Sogaard100.00454354904590454990814546466150620252950,000$
2Hunter Shepard100.0049526576475152555252954444525053N0302775,000$
Rayé
MOYENNE D’ÉQUIPE100.0047486083467149527167704545575058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Vellucci73697271878160USA581850,000$


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
1Cole SchwindtComets (NJD)C/RW82591978-19591517725636910627115.99%137159119.41851352182000176266.08%154500040.98130211742
2Jakub DemekComets (NJD)RW82344074365010861092545713913.39%3687910.7200002000001171.43%8400011.6823011777
3Ryan LohinComets (NJD)C8231407136355611501895615516.40%2086910.6000022000005063.75%116700031.6302001574
4Topias VilenComets (NJD)D82133851334957081112275111.61%30100312.2400000000002039.53%4300001.0200001039
5Jake MassieComets (NJD)D820553100331253110%52583.150000000000000%000000.3900000000
6Jan JenikComets (NJD)C3112-317551072814.29%74013.63101510000000167.39%4600000.9800010100
Statistiques d’équipe totales ou en moyenne413138143281862204043261893625163514.74%235464211.249514591980001714464.92%288500081.2138044302122
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
1Mads SogaardComets (NJD)82254890.8943.4246124426324830230.70010820373
Statistiques d’équipe totales ou en moyenne82254890.8943.42461244263248302310820373


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aatu JamsenComets (NJD)RW222003-07-22FINYes175 Lbs6 ft2NoNoTrade2025-08-05NoNo32025-08-03FalseFalsePro & Farm852,500$0$0$No852,500$852,500$-------852,500$852,500$-------NoNo-------Lien
Alexander HoltzComets (NJD)LW/RW242002-01-23SWENo198 Lbs6 ft0NoNoFree AgentNoNo12025-08-02FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Cole SchwindtComets (NJD)C/RW242001-04-25CANYes203 Lbs6 ft2NoNoFree AgentNoNo22025-08-02FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Domenick FensoreComets (NJD)D242001-09-07USAYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-08-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Elias SalomonssonComets (NJD)D212004-08-31SWEYes189 Lbs6 ft2NoNoAssign ManuallyNoNo32025-06-14FalseFalsePro & Farm815,000$0$0$No815,000$815,000$-------815,000$815,000$-------NoNo-------Lien
Hunter DrewComets (NJD)RW/D271998-10-21CANNo213 Lbs6 ft2NoNoFree AgentNoYes22025-08-02FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Hunter ShepardComets (NJD)G301995-11-07USANo215 Lbs6 ft0YesNoFree AgentNoYes22025-08-21FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------Yes--------Lien
Jake MassieComets (NJD)D291997-01-21QUENo200 Lbs6 ft1NoNoFree AgentNoYes12025-08-02FalseFalsePro & Farm825,000$0$0$No---------------------------Lien / Lien NHL
Jakub DemekComets (NJD)RW222003-06-06SVKNo203 Lbs6 ft4NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm851,683$0$0$No851,683$--------851,683$--------No--------Lien
Jan JenikComets (NJD)C252000-09-15CZEYes199 Lbs6 ft2NoNoFree AgentNoYes12024-08-01FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Josh BloomComets (NJD)LW222003-06-08ONTNo182 Lbs6 ft2NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------Lien
Liam OhgrenComets (NJD)LW222004-01-28SWEYes187 Lbs6 ft0NoNoAssign ManuallyNoNo32025-08-15FalseFalsePro & Farm886,666$0$0$No886,666$886,666$-------886,666$886,666$-------NoNo-------Lien
Mads SogaardComets (NJD)G252000-12-13DENNo217 Lbs6 ft7NoNoFree AgentNoYes22025-08-02FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Max LajoieComets (NJD)D281997-11-05QCNo191 Lbs6 ft1NoNoFree AgentNoYes12025-08-02FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Patrick GuayComets (NJD)C232002-04-29QUEYes179 Lbs5 ft9NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Ryan LohinComets (NJD)C291996-06-26USANo192 Lbs6 ft0NoNoAssign ManuallyNoYes22024-06-30FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Topias VilenComets (NJD)D232003-04-01FINNo195 Lbs6 ft1NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------Lien
Walker DuehrComets (NJD)RW281997-11-23USANo210 Lbs6 ft2NoNoFree Agent2024-02-06NoYes12024-06-24FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1824.89196 Lbs6 ft11.94876,992$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Schwindt40122
230122
3Topias VilenRyan LohinJakub Demek20122
4Cole Schwindt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
4Topias VilenJake Massie10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Schwindt60122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Cole Schwindt40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Cole Schwindt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole Schwindt
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole Schwindt
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakub Demek, Ryan Lohin, Jakub Demek, Ryan Lohin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Cole Schwindt, ,
Gardien
#1 : Mads Sogaard, #2 :
Lignes d’attaque personnalisées en prolongation
, , Cole Schwindt, , , Jakub Demek, , Ryan Lohin, ,
Lignes de défense personnalisées en prolongation
, , , ,


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1 Americans2020000019-81010000012-11010000007-700.000123009368523277736947032466186131200.00%30100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
2Admirals21100000752110000005141010000024-220.5007121910936852358773694703245712630700.00%30100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
3Barracuda21100000410-6110000002111010000029-720.5004711009368523227736947032451161226600.00%60100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
4Bears2200000015312110000006151100000092741.000152439009368523947736947032463136453266.67%30100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
5Bruins30000210910-11000010034-12000011066040.6679142300936852368773694703241203532341400.00%6183.33%0967196849.14%1150279941.09%613118951.56%154811112512570887384
6Canucks60600000628-222020000039-640400000319-1600.0006111700936852397773694703242306533863500.00%14471.43%0967196849.14%1150279941.09%613118951.56%154811112512570887384
7Checkers2020000016-51010000012-11010000004-400.0001120093685232677369470324531118248112.50%3166.67%0967196849.14%1150279941.09%613118951.56%154811112512570887384
8Condors21100000651110000005321010000012-120.50061016009368523407736947032459191227800.00%5260.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
9Crunch41200100919-102100010087120200000112-1130.3759152400936852392773694703241534116422114.76%80100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
10Eagles20200000210-81010000025-31010000005-500.00023500936852334773694703247937103110110.00%5180.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
11Firebirds220000001239110000007071100000053241.0001222340193685231327736947032449151057100.00%50100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
12Griffins430001001578210001006422200000093670.87515294401936852319577369470324912914868112.50%70100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
13Gulls2200000014113110000006061100000081741.0001428420193685231277736947032445118304250.00%40100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
14Ice Hogs2110000012751010000046-21100000081720.500122234109368523123773694703245715632300.00%3166.67%1967196849.14%1150279941.09%613118951.56%154811112512570887384
15Islanders2200000016115110000008171100000080841.00016284401936852314677369470324542145444100.00%20100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
16Marlies51400000920-1131200000613-72020000037-420.20091423109368523124773694703241493826602229.09%12466.67%0967196849.14%1150279941.09%613118951.56%154811112512570887384
17Monsters40400000521-1620200000210-820200000311-800.000571200936852351773694703242035331501317.69%12466.67%0967196849.14%1150279941.09%613118951.56%154811112512570887384
18Moose2000020046-21000010034-11000010012-120.50047110093685232177369470324671916307228.57%7185.71%0967196849.14%1150279941.09%613118951.56%154811112512570887384
19Penguins32100000161152200000015691010000015-440.667163046009368523132773694703248944124510220.00%5260.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
20Phantoms20200000013-131010000009-91010000004-400.0000000093685232277369470324892220241200.00%9366.67%0967196849.14%1150279941.09%613118951.56%154811112512570887384
21Reign2020000018-71010000004-41010000014-300.0001230093685232977369470324601627181100.00%3166.67%0967196849.14%1150279941.09%613118951.56%154811112512570887384
22Roadrunners220000001037110000004131100000062441.000101828009368523687736947032459171432500.00%60100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
23Rocket40300100211-92010010014-32020000017-610.12524600936852360773694703241154922492713.70%10370.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
24Senators40400000820-122020000049-520200000411-700.00081321009368523587736947032415551324512216.67%13284.62%0967196849.14%1150279941.09%613118951.56%154811112512570887384
25Silver Knights2020000007-71010000004-41010000003-300.000000009368523247736947032456171026700.00%5260.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
26Stars210000018621000000134-11100000052330.7508142200936852362773694703247321163710220.00%8187.50%0967196849.14%1150279941.09%613118951.56%154811112512570887384
27Thunderbirds22000000963110000005321100000043141.00091726009368523887736947032451184416350.00%2150.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
28Wild20100001313-1010100000211-91000000112-110.250369009368523417736947032492161030500.00%4250.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
29Wolf Pack20200000311-81010000023-11010000018-700.000358009368523397736947032466194251300.00%20100.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
30Wolves20200000312-91010000016-51010000026-400.00036900936852346773694703246020102711327.27%5340.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
31Wranglers30300000412-820200000310-71010000012-100.000481200936852337773694703241112819391400.00%5180.00%0967196849.14%1150279941.09%613118951.56%154811112512570887384
Total82244800712214304-9041142100501118147-294110270021196157-61590.36021437959334936852321837736947032427228064661195329309.12%1854078.38%1967196849.14%1150279941.09%613118951.56%154811112512570887384
_Since Last GM Reset82244800712214304-9041142100501118147-294110270021196157-61590.36021437959334936852321837736947032427228064661195329309.12%1854078.38%1967196849.14%1150279941.09%613118951.56%154811112512570887384
_Vs Conference49113200510117193-7624713004006688-22254190011051105-54290.2961172013181293685231250773694703241690511280696213209.39%1112775.68%0967196849.14%1150279941.09%613118951.56%154811112512570887384
_Vs Division285230030054102-481439003003045-1514214000002457-33130.23254921461193685236507736947032490227216635312486.45%621182.26%0967196849.14%1150279941.09%613118951.56%154811112512570887384

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8259L421437959321832722806466119534
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8224480712214304
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114210501118147
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
411027021196157
Derniers 10 matchs
WLOTWOTL SOWSOL
350110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
329309.12%1854078.38%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
773694703249368523
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
967196849.14%1150279941.09%613118951.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
154811112512570887384


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
13Marlies1Comets2WSommaire du match
426Comets0Canucks7LSommaire du match
646Comets2Bruins3LXSommaire du match
858Senators6Comets2LSommaire du match
1076Marlies7Comets2LSommaire du match
1183Comets0Canucks3LSommaire du match
15104Comets3Canucks6LSommaire du match
17117Canucks4Comets0LSommaire du match
19137Comets1Marlies3LSommaire du match
21152Penguins3Comets7WSommaire du match
24171Comets1Rocket5LSommaire du match
26182Monsters5Comets1LSommaire du match
27191Comets2Monsters4LSommaire du match
30211Rocket3Comets1LSommaire du match
32228Comets5Griffins1WSommaire du match
34243Griffins0Comets3WSommaire du match
36252Comets3Senators4LSommaire du match
38270Comets0Silver Knights3LSommaire du match
40283Griffins4Comets3LXSommaire du match
42303Firebirds0Comets7WSommaire du match
44313Comets1Wolf Pack8LSommaire du match
47341Comets1Reign4LSommaire du match
49348Comets0Rocket2LSommaire du match
50357Condors3Comets5WSommaire du match
53377Thunderbirds3Comets5WSommaire du match
55393Comets5Stars2WSommaire du match
57410Marlies5Comets2LSommaire du match
59429Comets4Griffins2WSommaire du match
60440Comets1Monsters7LSommaire du match
61447Bruins4Comets3LXSommaire du match
65473Penguins3Comets8WSommaire du match
67484Comets9Bears2WSommaire du match
69502Comets1Senators7LSommaire du match
70510Bears1Comets6WSommaire du match
74538Crunch3Comets5WSommaire du match
77556Comets2Wolves6LSommaire du match
79570Canucks5Comets3LSommaire du match
81587Comets0Eagles5LSommaire du match
83601Wranglers5Comets0LSommaire du match
85613Comets5Firebirds3WSommaire du match
87632Stars4Comets3LXXSommaire du match
90656Ice Hogs6Comets4LSommaire du match
92671Comets1Condors2LSommaire du match
94687Comets8Ice Hogs1WSommaire du match
96696Comets0Phantoms4LSommaire du match
97705Eagles5Comets2LSommaire du match
100729Barracuda1Comets2WSommaire du match
102748Comets2Marlies4LSommaire du match
103758Checkers2Comets1LSommaire du match
106777Comets0 Americans7LSommaire du match
108790Islanders1Comets8WSommaire du match
110805Comets1Moose2LXSommaire du match
112815Comets1Penguins5LSommaire du match
114827Senators3Comets2LSommaire du match
116849Comets1Wild2LXXSommaire du match
118861Wolf Pack3Comets2LSommaire du match
120872Comets2Barracuda9LSommaire du match
122887Comets8Gulls1WSommaire du match
123896Roadrunners1Comets4WSommaire du match
127923Moose4Comets3LXSommaire du match
130943Comets0Canucks3LSommaire du match
132954Crunch4Comets3LXSommaire du match
135979Comets8Islanders0WSommaire du match
136988Gulls0Comets6WSommaire du match
1401015Wranglers5Comets3LSommaire du match
1441040Comets1Wranglers2LSommaire du match
1451049Wolves6Comets1LSommaire du match
1471063Comets1Crunch8LSommaire du match
1491077Reign4Comets0LSommaire du match
1511094Comets0Crunch4LSommaire du match
1531111Silver Knights4Comets0LSommaire du match
1561133Monsters5Comets1LSommaire du match
1571135Comets0Checkers4LSommaire du match
1591152Comets4Thunderbirds3WSommaire du match
1601162Comets4Bruins3WXXSommaire du match
1631182Comets6Roadrunners2WSommaire du match
1641187Rocket1Comets0LXSommaire du match
1671212Admirals1Comets5WSommaire du match
1691226Comets2Admirals4LSommaire du match
1711246Wild11Comets2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1761276 Americans2Comets1LSommaire du match
1811307Phantoms9Comets0LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets550
Assistance77,77738,755
Assistance PCT94.85%94.52%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2842 - 94.74% 104,335$4,277,735$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,423,314$ 1,578,585$ 1,578,585$ 850,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,579$ 1,573,234$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,199$ 0$




Comets Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Cole Schwindt82591978-195917725636915.99%137159119.4185135200016266.08%40.9813
2Jakub Demek8234407436508610925413.39%3687910.72000000001171.43%11.6823
3Ryan Lohin8231407136356115018916.40%2086910.60000200005063.75%31.6302
4Topias Vilen821338513349708111211.61%30100312.24000000002039.53%01.0200
5Jake Massie82055310331250%52583.1500000000000%00.3900

Comets Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Mads Sogaard82254890.8943.4246124426324830230.70010

Comets Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
202582244800712214304-9041142100501118147-294110270021196157-615921437959334936852321837736947032427228064661195329309.12%1854078.38%1967196849.14%1150279941.09%613118951.56%154811112512570887384
Total Saison régulière82244800712214304-9041142100501118147-294110270021196157-615921437959334936852321837736947032427228064661195329309.12%1854078.38%1967196849.14%1150279941.09%613118951.56%154811112512570887384
Séries éliminatoires
202440400000420-162020000029-720200000211-904711002020542513160942446662627.69%22768.18%04610245.10%4310242.16%265448.15%8758103314923
Total Séries éliminatoires40400000420-162020000029-720200000211-904711002020542513160942446662627.69%22768.18%04610245.10%4310242.16%265448.15%8758103314923

Comets Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Robert Hagg4022287360%28120.2900020000000%00.4900
2Joe Snively4112102121010.00%19022.53011400000075.00%00.4400
3Maxime Lajoie41122053250.00%18421.0500010000000%00.4700
4Leon Gawanke4011-8100310%34912.4401110000000%00.4000
5Ryan Lohin4011-822820%05012.55011000000041.67%00.4000

Comets Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Zane McIntyre20000.8133.91460031600000
2Mads Sogaard40400.7825.2919300177800000