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Columbus
GP: 82 | W: 35 | L: 42 | OTL: 5 | P: 75
GF: 219 | GA: 262 | PP%: 16.88% | PK%: 80.56%
DG: Dany Bourdeau | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Columbus
35-42-5, 75pts
2
FINAL
0 Pittsburgh
44-33-5, 93pts
Team Stats
L1StreakL3
19-21-1Home Record25-14-2
16-21-4Away Record19-19-3
4-5-1Last 10 Games4-6-0
2.67Buts par match 2.83
3.20Buts contre par match 2.78
16.88%Pourcentage en avantage numérique18.90%
80.56%Pourcentage en désavantage numérique80.88%
Washington
46-27-9, 101pts
5
FINAL
1 Columbus
35-42-5, 75pts
Team Stats
SOL1StreakL1
24-14-3Home Record19-21-1
22-13-6Away Record16-21-4
4-5-1Last 10 Games4-5-1
3.05Buts par match 2.67
2.91Buts contre par match 3.20
16.50%Pourcentage en avantage numérique16.88%
82.17%Pourcentage en désavantage numérique80.56%
Meneurs d'équipe
Buts
Claude Giroux
23
Passes
Darnell Nurse
44
Points
Darnell Nurse
57
Plus/Moins
Brendan Leipsic
8
Victoires
Cory Schneider
27
Pourcentage d’arrêts
Keith Kinkaid
0.926

Statistiques d’équipe
Buts pour
219
2.67 GFG
Tirs pour
2371
28.91 Avg
Pourcentage en avantage numérique
16.9%
54 GF
Début de zone offensive
38.9%
Buts contre
262
3.20 GAA
Tirs contre
2674
32.61 Avg
Pourcentage en désavantage numérique
80.6%%
70 GA
Début de la zone défensive
43.5%
Informations de l'équipe

Directeur généralDany Bourdeau
EntraîneurLindy Ruff
DivisionMetropolitaine
ConférenceConference Est
CapitaineClaude Giroux
Assistant #1
Assistant #2Mikhail Sergachev


Informations de l’aréna

NomNationwide Arena
Capacité22,778
Assistance20,043
Billets de saison9,111


Informations de la formation

Équipe Pro22
Équipe Mineure22
Limite contact 44 / 50
Espoirs35


Plafond salarial

Cap Salarial de la Saison estimé56,571,673$
Plafond salarial disponible8,428,327$
Valeur du plafond salarial spécial4,965,000$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour69,132,566$
Dépenses annuelles à ce jour55,882,392$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel20,578,860$
Compte bancaire projeté20,578,860$


Historique d'équipe

Saison actuelle35-42-5 (75PTS)
Historique70-84-12 (0.422%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
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 moyen
1Nikita FilatovXX100.007031977275677678327075617872633650003112,555,000$
2Cody McLeodXX100.00823258447468886375636566689685135000371900,000$
3Victor RaskXX100.006933968085939878788076608256566150002815,650,000$
4Paul ByronXXX100.00692299806079767267647368797071345000322501,000$
5Gregory StewartX100.0071444754797887616859625974857195000351500,000$
6Frank VatranoXX100.008238937981829270716774618254566150002721,100,000$
7Drew StaffordXX100.00622989618577836666656662757167215000351600,000$
8Blake ColemanXXX100.009036827285849274736977778663555850002932,100,000$
9Brendan LeipsicX100.007229917976808872726674638053505750002721,000,000$
10Zach HymanXX100.007437967485859275747275748457575850002941,950,000$
11Claude Giroux (C)XXX100.008633887272909986918080668575885150003335,300,000$
12Zach SanfordX100.00763889759780886871697064775047335000263600,000$
13Andre BurakovskyXX100.007143949088849175796977598547467250002612,500,000$
14Derek ForbortX100.007746707590919653505349907761545850002941,300,000$
15Niklas HjalmarssonX100.008739456078758850325346927184851550003416,840,000$
16Erik KarlssonX100.006944828372988871507365916666655850003125,500,000$
17Mikhail Sergachev (A)X100.00904276999595936855716090864243825000231900,000$
18Darnell NurseX100.009048548993999966556860937550487450002634,900,000$
19Alex GoligoskiX100.005833976074688363355460898389882150003514,200,000$
Rayé
1Mike MathesonX85.926935868887949160545661828254506750002712,000,000$
Équipe Mineure
1Dillon Dube (R)XX100.00773290858484907673737966863938705000222800,000$
2Mason AppletonX100.00802989818683947772757767774745715000251600,000$
3Byron FroeseXX100.00643289687771896881666966746455435000302750,000$
4Ryan DzingelXX100.007835948382869171696873588062516450002931,100,000$
5Rem Pitlick (R)XXX100.00722589838281847680747472914545715000242700,000$
6Ilya ZubovXX100.006531946171698669736669657884811850003521,300,000$
7Dave BollandX100.00601891607872597174717173857882245000353980,000$
8Vinnie HinostrozaXX100.00803195847683897375677563875250615000273975,000$
9Dustin BrownXX100.008223927182809972707372688483993050003631,100,000$
10Carl SoderbergXXX100.006234886084699071716870687681712850003521,110,000$
11Erik HaulaXX100.00723694757377847081687064715446485000303975,000$
12Denis GurianovXX100.00843696939485947877747863854744805000241800,000$
13Luke KuninXX100.00854875878187857482727468834241745000232900,000$
14Robert BortuzzoX100.00753184699377824950534890727270255000323975,000$
15Cody GoloubefX100.00743263688076795050524887786260435000312600,000$
16Kevan MillerX100.00613586568978814950465090667058215000332900,000$
17Matthew BenningX100.00743563788186895853595386755347575000272600,000$
18Nick HoldenX100.00693393669380884950464587737669195000342901,000$
19Nicolas Hague (R)X100.00873577789582875650585490753838745000223800,000$
MOYENNE D’ÉQUIPE99.2576378174828389686266677379656247500
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 moyen
1Keith Kinkaid100.00718585918297959497908568684950003111,200,000$
2Cory Schneider100.00648185897998989899848898922150003521,250,000$
Rayé
Équipe Mineure
1Adin Hill (R)100.0069878097829393969493894746715000251600,000$
2Chad Johnson100.0062908291789391939588838584165000352525,000$
3Dustin Tokarski100.0066877783759496919688806059405000312701,000$
MOYENNE D’ÉQUIPE100.006883859081989796988787838035500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff81779983999950CAN6214,000,000$


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
1Darnell NurseColumbusD76134457-22216521083152441158.55%141183224.1181321852490111212110.00%000100.6200535125
2Mikhail SergachevColumbusD77134255-149610135112171421057.60%121188724.51712191152660001225300.00%000000.5800010151
3Erik KarlssonColumbusD81173754-33751568137154579011.04%139189023.34131124972560001272100.00%000000.5700012221
4Claude GirouxColumbusC/LW/RW7723305314001191662156614810.70%8159320.691894124110151041152.25%215900010.6727000532
5Zach HymanColumbusLW/RW79192443-122025551764812510.80%14145118.3758133417001122244348.53%13600010.5912000442
6Blake ColemanColumbusC/LW/RW77192039-4540154911805610710.56%12158920.643475124901132783048.26%37300100.4914000423
7Victor RaskColumbusC/LW81162238-2216026123170511269.41%9159219.66167352220000562047.24%172300000.4804000502
8Andre BurakovskyColumbusLW/RW76152237-226103260160631339.38%8127416.77371034213000063046.53%10100000.5800002331
9Denis GurianovCleveland (CLB)LW/RW739233292407534161601225.59%5101613.92156231410000172045.00%10000000.6326000121
10Derek ForbortColumbusD828132136951416560204813.33%116146417.85325241050001218100.00%000000.2900001011
11Paul ByronColumbusC/LW/RW8211920-400207693235811.83%1391311.140110800031211444.53%66700000.4400000103
12Mike MathesonColumbusD4731720-728036416121544.92%4796620.5716733140000190110.00%000000.4100000103
13Nikita FilatovColumbusLW/RW7091019-17120254313317776.77%3112116.02112151360001611029.59%9800000.3401000000
14Alex GoligoskiColumbusD774141886017514817398.33%86109414.220114390000153010.00%000000.3300000011
15Luke KuninCleveland (CLB)C/RW589817-20515957710139608.91%787415.071127890002801046.43%78400000.3902001011
16Frank VatranoColumbusLW/RW8310616-13200564610738669.35%497411.74000030001203046.74%9200000.3300000130
17Brendan LeipsicColumbusLW796101684026318023667.50%36698.4700027000014048.72%7800010.4800000111
18Niklas HjalmarssonColumbusD7031215-10840156403613228.33%83106215.18000120113131000.00%000100.2800000222
19Zach SanfordColumbusLW79549-106013173682713.89%33844.8700009000050045.90%6100000.4700000001
20Kevan MillerCleveland (CLB)D200662100129182120.00%1928814.420000400006000.00%000000.4200000001
21Nicolas HagueCleveland (CLB)D7235-48013434366.67%614120.15213315000011000.00%000000.7100000001
22Mason AppletonCleveland (CLB)RW32020002180725.00%03812.9410123000000125.00%400001.0300000100
23Cody McLeodColumbusLW/RW4602228044810490.00%12886.28000000000180053.33%1500000.1400000000
24Vinnie HinostrozaCleveland (CLB)LW/RW12022-28098286110.00%215212.7400000000000040.00%500000.2602000000
25Dillon DubeCleveland (CLB)LW/RW11010000152220.00%01919.520000300000000.00%000001.0200000000
26Gregory StewartColumbusLW79011-101751712250.00%01632.0700019000000036.36%1100000.1200100000
27Drew StaffordColumbusLW/RW4011000000020.00%0123.0101101000000037.50%800001.6600000000
28Dustin BrownCleveland (CLB)LW/RW4011000102410.00%0338.4900003000000062.50%800000.5900000000
29Robert BortuzzoCleveland (CLB)D5000-200024010.00%26613.270000000004000.00%000000.00%00000000
30Cody GoloubefCleveland (CLB)D1000000300010.00%41313.000000000001000.00%000000.00%00000000
31Ilya ZubovCleveland (CLB)LW/RW2000000211020.00%02512.500000000000000.00%100000.00%00000000
32Matthew BenningCleveland (CLB)D6000040662000.00%99816.420000300006000.00%000000.00%00000000
33Erik HaulaCleveland (CLB)C/LW2000-100013310.00%02914.8900000000000062.16%3700000.00%00000000
Statistiques d’équipe totales ou en moyenne1616217383600-14590911515381390238073316459.12%8652502315.4851881396072600145252331321248.37%646100330.486286511333233
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
1Cory SchneiderColumbus56272720.9063.1032886317018140300.737195625500
2Keith KinkaidColumbus42000.9262.08173006810000.8005214000
3Dustin TokarskiCleveland (CLB)110810.8813.8954020352930000.5002860000
Statistiques d’équipe totales ou en moyenne71293530.9043.164003832112188030266699500


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 Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex Goligoski (contrat à 1 volet)ColumbusD351985-07-30No187 Lbs5 ft11NoNoYesYes1Pro & Farm4,200,000$4,200,000$0$No
Andre Burakovsky (contrat à 1 volet)ColumbusLW/RW261995-02-09No210 Lbs6 ft3NoNoYesYes1Pro & Farm2,500,000$2,500,000$0$NoLien
Blake Coleman (contrat à 1 volet)ColumbusC/LW/RW291991-11-28No203 Lbs5 ft11NoNoYesYes3Pro & Farm2,100,000$2,100,000$0$No2,100,000$2,100,000$Lien
Brendan Leipsic (contrat à 1 volet)ColumbusLW271994-05-19No186 Lbs5 ft10NoNoYesYes2Pro & Farm1,000,000$1,000,000$0$No1,000,000$Lien
Claude Giroux (contrat à 1 volet)ColumbusC/LW/RW331988-01-12No188 Lbs5 ft11NoNoYesYes3Pro & Farm5,300,000$5,300,000$0$No5,300,000$5,300,000$Lien
Cody McLeodColumbusLW/RW371984-06-26No220 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$900,000$0$No
Cory Schneider (contrat à 1 volet)ColumbusG351986-03-18 23:37:02No206 Lbs6 ft2NoNoYesYes2Pro Only1,250,000$1,250,000$0$No1,250,000$
Darnell Nurse (contrat à 1 volet)ColumbusD261995-02-04No226 Lbs6 ft4NoNoYesYes3Pro & Farm4,900,000$4,900,000$0$No4,900,000$4,900,000$Lien
Derek Forbort (contrat à 1 volet)ColumbusD291992-03-04No223 Lbs6 ft4NoNoYesYes4Pro & Farm1,300,000$1,300,000$0$No1,300,000$1,300,000$1,300,000$Lien
Drew StaffordColumbusLW/RW351985-10-30No216 Lbs6 ft2NoNoNoNo1Pro & Farm600,000$600,000$0$NoLien
Erik Karlsson (contrat à 1 volet)ColumbusD311990-01-01No189 Lbs6 ft0NoNoYesYes2Pro & Farm5,500,000$5,500,000$0$No5,500,000$Lien
Frank Vatrano (contrat à 1 volet)ColumbusLW/RW271994-03-14No206 Lbs5 ft9NoNoYesYes2Pro & Farm1,100,000$1,100,000$0$No1,100,000$Lien
Gregory StewartColumbusLW351986-05-21No216 Lbs6 ft2NoNoYesYes1Pro & Farm500,000$500,000$0$No
Keith KinkaidColumbusG311989-07-04 05:27:05No201 Lbs6 ft3NoNoNoNo1Pro & Farm1,200,000$1,200,000$0$NoLien
Mike Matheson (sur la masse salariale)ColumbusD271994-02-27No198 Lbs6 ft2NoNoYesYes1Pro & Farm2,000,000$0$0$YesLien
Mikhail SergachevColumbusD231998-06-25No217 Lbs6 ft3NoNoNoNo1Pro & Farm900,000$900,000$0$NoLien
Nikita Filatov (contrat à 1 volet)ColumbusLW/RW311990-01-11No196 Lbs6 ft6NoNoYesYes1Pro & Farm2,555,000$2,555,000$0$No
Niklas Hjalmarsson (contrat à 1 volet)ColumbusD341987-06-06No214 Lbs6 ft3NoNoYesYes1Pro & Farm6,840,000$6,840,000$0$No
Paul Byron (contrat à 1 volet)ColumbusC/LW/RW321989-04-27No156 Lbs5 ft7NoNoYesYes2Pro & Farm501,000$501,000$0$No501,000$Lien
Victor Rask (contrat à 1 volet)ColumbusC/LW281993-03-01No208 Lbs6 ft2NoNoYesYes1Pro & Farm5,650,000$5,650,000$0$NoLien
Zach Hyman (contrat à 1 volet)ColumbusLW/RW291992-06-09No217 Lbs6 ft1NoNoYesYes4Pro & Farm1,950,000$1,950,000$0$No1,950,000$1,950,000$1,950,000$Lien
Zach Sanford (contrat à 1 volet)ColumbusLW261994-11-09No209 Lbs6 ft4NoNoYesYes3Pro & Farm600,000$600,000$0$No600,000$600,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2230.27204 Lbs6 ft11.862,424,818$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
53,346,000$25,501,000$16,150,000$3,250,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Blake ColemanClaude GirouxZach Hyman30122
2Andre BurakovskyVictor RaskNikita Filatov30122
3Frank VatranoPaul ByronCody McLeod30122
4Brendan LeipsicClaude GirouxDrew Stafford10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseMikhail Sergachev30122
2Erik KarlssonDerek Forbort30122
3Niklas HjalmarssonAlex Goligoski30122
4Darnell NurseMikhail Sergachev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Blake ColemanClaude GirouxZach Hyman60122
2Andre BurakovskyVictor RaskNikita Filatov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseMikhail Sergachev60122
2Erik KarlssonDerek Forbort40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Paul ByronZach Sanford60122
2Nikita FilatovAndre Burakovsky40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseMikhail Sergachev60122
2Erik KarlssonDerek Forbort40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andre Burakovsky60122Darnell NurseMikhail Sergachev60122
2Zach Hyman40122Erik KarlssonDerek Forbort40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Claude GirouxBlake Coleman60122
2Victor RaskZach Hyman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Darnell NurseMikhail Sergachev60122
2Erik KarlssonDerek Forbort40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Blake ColemanClaude GirouxZach HymanDarnell NurseMikhail Sergachev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Blake ColemanClaude GirouxZach HymanDarnell NurseMikhail Sergachev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Sanford, Gregory Stewart, Paul ByronZach Sanford, Gregory StewartPaul Byron
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Niklas Hjalmarsson, Alex Goligoski, Erik KarlssonNiklas HjalmarssonAlex Goligoski, Erik Karlsson
Tirs de pénalité
Claude Giroux, Blake Coleman, Victor Rask, Zach Hyman, Andre Burakovsky
Gardien
#1 : Cory Schneider, #2 : Keith Kinkaid


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
1Anaheim413000001014-4211000006602020000048-420.250101727006220117403839013344546618422.22%17476.47%01447284850.81%1558319148.82%635129149.19%8858101315024
2Arizona2110000036-31010000004-41100000032120.50034700120038121313065171430500.00%60100.00%01447284850.81%1558319148.82%635129149.19%443050142512
3Boston 413000001315-2211000009722020000048-420.25013223500544099294426013345454910440.00%20765.00%01447284850.81%1558319148.82%635129149.19%8961100295023
4Buffalo4110002012111210000107522010001056-160.7501219310052331263745411310827327616425.00%11190.91%01447284850.81%1558319148.82%635129149.19%1006994315528
5Chicago21100000660110000005231010000014-320.50061016003030592813180672024296116.67%12375.00%01447284850.81%1558319148.82%635129149.19%473248142412
6Dallas2110000036-3110000003211010000004-420.50036900210054171126082321441600.00%7271.43%01447284850.81%1558319148.82%635129149.19%372458152310
7Detroit422000001091211000005502110000054140.500101727006220118522640013135367214214.29%13284.62%01447284850.81%1558319148.82%635129149.19%926497294923
8Edmonton30200100715-820200000411-71000010034-110.16771118001420741729271912616645360.00%7357.14%01447284850.81%1558319148.82%635129149.19%634379213819
9Floride41201000914-52020000019-82100100085340.50091625003321119383642314242326613215.38%16287.50%01447284850.81%1558319148.82%635129149.19%8961104294822
10LosAngeles20200000712-51010000057-21010000025-300.000711180014205010231706724223411218.18%10370.00%01447284850.81%1558319148.82%635129149.19%422750152612
11Minnesota2020000039-61010000025-31010000014-300.00035800021057131826063132237700.00%11190.91%01447284850.81%1558319148.82%635129149.19%473147152512
12Montreal4110101013121210010009542010001047-360.750131932003353118442844412939416411218.18%18288.89%01447284850.81%1558319148.82%635129149.19%986798285326
13NYRangers623000011420-632100000109130200001411-750.4171424380051801636255463199689011515213.33%32875.00%11447284850.81%1558319148.82%635129149.19%147102142427437
14Nashville211000008711010000024-21100000063320.50081321005120631818270641017356233.33%5180.00%01447284850.81%1558319148.82%635129149.19%483346142512
15New Jersey633000001819-131200000610-432100000129360.500183149007650163565255020161389325520.00%18383.33%01447284850.81%1558319148.82%635129149.19%13490147467739
16Philadelphie650000101851332000010844330000001019121.0001830480246711754651746173396713645715.56%30390.00%01447284850.81%1558319148.82%635129149.19%14394143497738
17Pittsburgh623000011415-1311000017703120000078-150.41714233702554115647574892005315312630516.67%49589.80%01447284850.81%1558319148.82%635129149.19%13486152477737
18San Jose2010000149-51010000004-41000000145-110.250481200400064172621478252237400.00%10280.00%01447284850.81%1558319148.82%635129149.19%473353142411
19St. Louis22000000853110000004221100000043141.00081523005120571818210652616406233.33%8187.50%01447284850.81%1558319148.82%635129149.19%463148152511
20Toronto504000011019-92020000027-530200001812-410.1001019290036111795655658143343810624312.50%19478.95%01447284850.81%1558319148.82%635129149.19%12488118376129
21Vancouver22000000862110000004311100000043141.0008142200125057211521068201634900.00%8275.00%01447284850.81%1558319148.82%635129149.19%483346142412
22Washington615000001622-631200000912-330300000710-320.1671629450026801977253720199717910827414.81%26773.08%01447284850.81%1558319148.82%635129149.19%12986155457536
23Winnipeg2110000056-11010000014-31100000042220.5005101500410068242123073181450700.00%7442.86%01447284850.81%1558319148.82%635129149.19%453150132411
Total82294202144219262-4341162101021109134-2541132101123110128-18750.4572193735920481646810237177474583251267478990215083205416.88%3607080.56%11447284850.81%1558319148.82%635129149.19%1891128520376181039508
_Since Last GM Reset82294202144219262-4341162101021109134-2541132101123110128-18750.4572193735920481646810237177474583251267478990215083205416.88%3607080.56%11447284850.81%1558319148.82%635129149.19%1891128520376181039508
_Vs Conference55192702043147161-14271112010217380-728815010227481-7530.4821472493960448444910161353950255346175851465110112304017.39%2524482.54%11447284850.81%1558319148.82%635129149.19%12838741356418700344
_Vs Division301314000128081-11576000114042-215680000140391300.50080137217042324322854283268295189722924275781422316.20%1552683.23%11447284850.81%1558319148.82%635129149.19%689461742231382188

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8275L121937359223712674789902150804
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8229422144219262
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116211021109134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113211123110128
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3205416.88%3607080.56%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
7747458325181646810
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
1447284850.81%1558319148.82%635129149.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1891128520376181039508


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
1 - 2022-11-252Washington5Columbus4BLSommaire du match
3 - 2022-11-2612Columbus3New Jersey4ALSommaire du match
5 - 2022-11-2725Columbus2NYRangers3ALXXSommaire du match
8 - 2022-11-2840Columbus2Pittsburgh4ALR5Sommaire du match
9 - 2022-11-2945NYRangers3Columbus1BLSommaire du match
12 - 2022-11-3062New Jersey3Columbus2BLSommaire du match
14 - 2022-12-0172Columbus3Toronto4ALXXSommaire du match
16 - 2022-12-0285Columbus4Washington5ALSommaire du match
17 - 2022-12-0393Philadelphie1Columbus2BWXXR4Sommaire du match
20 - 2022-12-04109Pittsburgh4Columbus0BLR5Sommaire du match
23 - 2022-12-06128Toronto4Columbus1BLSommaire du match
26 - 2022-12-07143Columbus5Philadelphie0AWR4Sommaire du match
28 - 2022-12-08154Buffalo1Columbus2BWXXSommaire du match
31 - 2022-12-10169Columbus4Floride2AWSommaire du match
33 - 2022-12-11178Detroit1Columbus3BWSommaire du match
36 - 2022-12-12193Columbus4Detroit1AWSommaire du match
38 - 2022-12-13202LosAngeles7Columbus5BLSommaire du match
40 - 2022-12-14208Columbus1Chicago4ALSommaire du match
43 - 2022-12-16224Columbus2LosAngeles5ALSommaire du match
44 - 2022-12-16230Dallas2Columbus3BWSommaire du match
47 - 2022-12-18247Columbus4Floride3AWXSommaire du match
49 - 2022-12-19255Nashville4Columbus2BLSommaire du match
51 - 2022-12-20265Columbus3Philadelphie1AWR4Sommaire du match
53 - 2022-12-21275Columbus0Dallas4ALSommaire du match
54 - 2022-12-21283Buffalo4Columbus5BWSommaire du match
57 - 2022-12-23300Columbus3Edmonton4ALXSommaire du match
59 - 2022-12-24306Arizona4Columbus0BLSommaire du match
61 - 2022-12-25313Columbus4San Jose5ALXXSommaire du match
63 - 2022-12-26328Anaheim2Columbus4BWSommaire du match
65 - 2022-12-27341Columbus6Nashville3AWSommaire du match
67 - 2022-12-28346Columbus0Boston 3ALSommaire du match
69 - 2022-12-29359Boston 5Columbus3BLSommaire du match
72 - 2022-12-30375New Jersey4Columbus0BLSommaire du match
77 - 2023-01-02394Columbus1Detroit3ALSommaire du match
79 - 2023-01-03404Boston 2Columbus6BWSommaire du match
83 - 2023-01-05420Pittsburgh0Columbus5BWR5Sommaire du match
85 - 2023-01-06437Columbus3Arizona2AWSommaire du match
86 - 2023-01-06444Philadelphie2Columbus3BWR4Sommaire du match
89 - 2023-01-08460Columbus2Philadelphie0AWSommaire du match
91 - 2023-01-09469Floride4Columbus1BLSommaire du match
93 - 2023-01-10482Columbus3Montreal2AWXXSommaire du match
95 - 2023-01-11492San Jose4Columbus0BLSommaire du match
97 - 2023-01-12506Columbus1Montreal5ALSommaire du match
99 - 2023-01-13516Anaheim4Columbus2BLSommaire du match
101 - 2023-01-14526Columbus4Vancouver3AWSommaire du match
103 - 2023-01-15536Columbus4St. Louis3AWSommaire du match
105 - 2023-01-16547Floride5Columbus0BLSommaire du match
107 - 2023-01-17560Columbus2Washington3ALSommaire du match
109 - 2023-01-18568Vancouver3Columbus4BWSommaire du match
114 - 2023-01-20589Columbus4Winnipeg2AWSommaire du match
115 - 2023-01-21594St. Louis2Columbus4BWSommaire du match
119 - 2023-01-23610Columbus1Minnesota4ALSommaire du match
121 - 2023-01-24618NYRangers3Columbus5BWSommaire du match
123 - 2023-01-25626Columbus1Washington2ALSommaire du match
124 - 2023-01-25639Toronto3Columbus1BLSommaire du match
128 - 2023-01-27661Columbus4New Jersey2AWSommaire du match
129 - 2023-01-28665Detroit4Columbus2BLSommaire du match
134 - 2023-01-30685New Jersey3Columbus4BWSommaire du match
136 - 2023-01-31698Columbus1NYRangers3ALSommaire du match
138 - 2023-02-01709Chicago2Columbus5BWSommaire du match
140 - 2023-02-02720Columbus2Toronto4ALSommaire du match
142 - 2023-02-03731Columbus5New Jersey3AWSommaire du match
144 - 2023-02-04737Philadelphie1Columbus3BWR4Sommaire du match
145 - 2023-02-05744Columbus3Toronto4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2023-02-06758Winnipeg4Columbus1BLSommaire du match
152 - 2023-02-08781NYRangers3Columbus4BWSommaire du match
154 - 2023-02-09791Columbus4Boston 5ALSommaire du match
156 - 2023-02-10804Minnesota5Columbus2BLSommaire du match
158 - 2023-02-11813Columbus3Buffalo2AWXXSommaire du match
161 - 2023-02-13830Edmonton5Columbus1BLSommaire du match
163 - 2023-02-14838Columbus2Buffalo4ALSommaire du match
165 - 2023-02-15850Edmonton6Columbus3BLSommaire du match
169 - 2023-02-17866Columbus1NYRangers5ALSommaire du match
171 - 2023-02-18879Pittsburgh3Columbus2BLXXR5Sommaire du match
173 - 2023-02-19887Columbus2Anaheim4ALSommaire du match
175 - 2023-02-20901Montreal2Columbus5BWSommaire du match
177 - 2023-02-21909Columbus2Anaheim4ALSommaire du match
181 - 2023-02-23927Washington2Columbus4BWSommaire du match
183 - 2023-02-24932Columbus3Pittsburgh4ALR5Sommaire du match
186 - 2023-02-25947Montreal3Columbus4BWXSommaire du match
192 - 2023-02-28968Columbus2Pittsburgh0AWR5Sommaire du match
194 - 2023-03-01972Washington5Columbus1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité65006944277855561000
Prix des billets85584525180
Assistance249,916230,248101,237205,04535,307
Attendance PCT93.78%80.87%88.88%90.01%86.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 20043 - 87.99% 1,686,160$69,132,566$22778100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
55,882,392$ 53,346,000$ 53,346,000$ 0$ 4,965,000$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
260,640$ 51,606,673$ 0$ 21 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 291,096$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 20,578,860$ 20,578,860$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
56,571,673$ 8,428,327$ 65,000,000$ 16,571,673$



Charte de profondeur

Ailier gaucheCentreAilier droit
Denis GurianovAGE:24PO:80OV:0
Andre BurakovskyAGE:26PO:72OV:0
Rem Pitlick (R)AGE:24PO:71OV:0
Dillon Dube (R)AGE:22PO:70OV:0
Ryan DzingelAGE:29PO:64OV:0
Victor RaskAGE:28PO:61OV:0
Frank VatranoAGE:27PO:61OV:0
Vinnie HinostrozaAGE:27PO:61OV:0
Blake ColemanAGE:29PO:58OV:0
Zach HymanAGE:29PO:58OV:0
Brendan LeipsicAGE:27PO:57OV:0
Claude GirouxAGE:33PO:51OV:0
Erik HaulaAGE:30PO:48OV:0
Nikita FilatovAGE:31PO:36OV:0
Paul ByronAGE:32PO:34OV:0
Zach SanfordAGE:26PO:33OV:0
Dustin BrownAGE:36PO:30OV:0
Carl SoderbergAGE:35PO:28OV:0
Drew StaffordAGE:35PO:21OV:0
Ilya ZubovAGE:35PO:18OV:0
Cody McLeodAGE:37PO:13OV:0
Gregory StewartAGE:35PO:9OV:0
Luke KuninAGE:23PO:74OV:0
Rem Pitlick (R)AGE:24PO:71OV:0
Victor RaskAGE:28PO:61OV:0
Blake ColemanAGE:29PO:58OV:0
Claude GirouxAGE:33PO:51OV:0
Erik HaulaAGE:30PO:48OV:0
Byron FroeseAGE:30PO:43OV:0
Paul ByronAGE:32PO:34OV:0
Carl SoderbergAGE:35PO:28OV:0
Dave BollandAGE:35PO:24OV:0
Denis GurianovAGE:24PO:80OV:0
Luke KuninAGE:23PO:74OV:0
Andre BurakovskyAGE:26PO:72OV:0
Mason AppletonAGE:25PO:71OV:0
Rem Pitlick (R)AGE:24PO:71OV:0
Dillon Dube (R)AGE:22PO:70OV:0
Ryan DzingelAGE:29PO:64OV:0
Frank VatranoAGE:27PO:61OV:0
Vinnie HinostrozaAGE:27PO:61OV:0
Blake ColemanAGE:29PO:58OV:0
Zach HymanAGE:29PO:58OV:0
Claude GirouxAGE:33PO:51OV:0
Byron FroeseAGE:30PO:43OV:0
Nikita FilatovAGE:31PO:36OV:0
Paul ByronAGE:32PO:34OV:0
Dustin BrownAGE:36PO:30OV:0
Carl SoderbergAGE:35PO:28OV:0
Drew StaffordAGE:35PO:21OV:0
Ilya ZubovAGE:35PO:18OV:0
Cody McLeodAGE:37PO:13OV:0

Défense #1Défense #2Gardien
Mikhail SergachevAGE:23PO:82OV:0
Darnell NurseAGE:26PO:74OV:0
Nicolas Hague (R)AGE:22PO:74OV:0
Mike MathesonAGE:27PO:67OV:0
Derek ForbortAGE:29PO:58OV:0
Erik KarlssonAGE:31PO:58OV:0
Matthew BenningAGE:27PO:57OV:0
Cody GoloubefAGE:31PO:43OV:0
Robert BortuzzoAGE:32PO:25OV:0
Kevan MillerAGE:33PO:21OV:0
Alex GoligoskiAGE:35PO:21OV:0
Nick HoldenAGE:34PO:19OV:0
Niklas HjalmarssonAGE:34PO:15OV:0
Adin Hill (R)AGE:25PO:71OV:0
Keith KinkaidAGE:31PO:49OV:0
Dustin TokarskiAGE:31PO:40OV:0
Cory SchneiderAGE:35PO:21OV:0
Chad JohnsonAGE:35PO:16OV:0

Espoirs

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Alenxander Yakovenko*Columbus17161
Andreas EnglundColumbus1352
Barrett HaytonColumbus1712
Damien RiatColumbus1570
Dmitry VoronkovColumbus1881
Domenick FensoreColumbus18147
Egor Sokolov*Columbus1835
Ivan ProsvetovColumbus17137
James Hamblin*Columbus18148
Jasper Weatherby*Columbus16142
Jordan SchmaltzColumbus1143
Joseph WollColumbus1565
Joshua JacobsColumbus1376
Julius Mattila*Columbus18157
Justin KirklandColumbus1356
Kim NousiainenColumbus18109
Mark FriedmanColumbus1381
Mathias LaferriereColumbus17135
Matty BeniersColumbus201
Mitchell HeardColumbus1185
Nathan Smith*Columbus16134
Nick Abruzzese*Columbus17123
Nikita AlexandrovColumbus1885
Nolan FooteColumbus1825
Patrick HarperColumbus1568
Patrick SieloffColumbus1196
Patrik PuistolaColumbus1845
Peyton KrebsColumbus1815
Reid DukeColumbus13100
Riley McCourt*Columbus1891
Ronnie Attard*Columbus17113
Scott Perunovich*Columbus1643
Tanner LaczynskiColumbus15146
Victor Ejdsell*Columbus1670
Vitali KravtsovColumbus178

Choix au repêchage

Année R1R2R3R4R5R6R7
21
22
23
24
25






Columbus Historique de transactions

[2023-06-28 20:53:06] - New Record for Team's Most Penalties Minutes (47) in 1 Game for Columbus!
[2023-06-07 21:08:03] - Dave Bolland is no longer captain for Cleveland.
[2023-05-18 08:06:51] - TRADE : From St. Louis to Columbus : Niklas Hjalmarsson.
[2023-05-18 08:06:51] - TRADE : From Columbus to St. Louis : Y:21-RND:7-CLB.
[2023-05-12 04:20:27] - TRADE : From Toronto to Columbus : Denis Gurianov.
[2023-05-12 04:20:27] - TRADE : From Columbus to Toronto : Mika Zibanejad, Y:21-RND:3-TOR.
[2023-05-12 04:13:42] - TRADE : From Dallas to Columbus : Victor Rask.
[2023-05-12 04:13:42] - TRADE : From Columbus to Dallas : Y:21-RND:3-CLB, Y:21-RND:4-VAN.
[2023-03-17 21:00:13] - TRADE : From Toronto to Columbus : Peyton Krebs (P), Y:22-RND:3-PIT, Y:21-RND:6-PIT.
[2023-03-17 21:00:13] - TRADE : From Columbus to Toronto : Phillip Danault.
[2023-02-15 08:25:42] - TRADE : From Toronto to Columbus : Adin Hill, Zach Hyman.
[2023-02-15 08:25:42] - TRADE : From Columbus to Toronto : Tyler Ennis.
[2023-02-08 20:30:08] - Mason Appleton has been selected as assistant for Cleveland.
[2023-02-08 20:30:08] - Unknown Player is no longer as assistant for Cleveland.
[2023-02-04 17:43:17] - Jacob Josefson was released.
[2023-02-04 17:43:17] - Columbus paid 0 $ to release Jacob Josefson.
[2023-02-04 17:43:07] - Jordie Benn was released.
[2023-02-04 17:43:07] - Columbus paid 0 $ to release Jordie Benn.
[2023-02-04 17:30:54] - TRADE : From Columbus to Toronto : John Gibson.
[2023-02-04 17:30:54] - TRADE : From Toronto to Columbus : Cory Schneider, Luke Kunin, Y:22-RND:1-TOR.
[2023-01-22 09:33:03] - TRADE : From Columbus to Chicago : Brandon Saad.
[2023-01-22 09:33:03] - TRADE : From Chicago to Columbus : Frank Vatrano, Nicolas Hague, Rem Pitlick, Y:21-RND:2-STL, Y:21-RND:3-TOR.
[2023-01-07 05:40:44] - Carl Soderberg has been selected as assistant for Cleveland.
[2023-01-07 05:40:44] - Unknown Player is no longer as assistant for Cleveland.
[2023-01-07 05:40:44] - Mason Appleton has been selected as assistant for Cleveland.
[2023-01-07 05:40:44] - Unknown Player is no longer as assistant for Cleveland.
[2023-01-07 05:40:44] - Dave Bolland has been selected as captain for Cleveland.
[2023-01-07 05:40:44] - Unknown Player is no longer captain for Cleveland.
[2022-12-29 03:46:11] - Mikhail Sergachev has been selected as assistant for Columbus.
[2022-12-29 03:46:11] - Unknown Player is no longer as assistant for Columbus.
[2022-12-29 03:46:11] - Mika Zibanejad has been selected as assistant for Columbus.
[2022-12-29 03:46:11] - Unknown Player is no longer as assistant for Columbus.
[2022-12-29 03:46:11] - Claude Giroux has been selected as captain for Columbus.
[2022-12-29 03:46:11] - Unknown Player is no longer captain for Columbus.
[2022-11-24 05:26:42] - TRADE : From Columbus to Toronto : Cam Fowler, William Carrier.
[2022-11-24 05:26:42] - TRADE : From Toronto to Columbus : Brendan Leipsic, Erik Karlsson, Y:21-RND:1-TOR, Y:21-RND:4-VAN.
[2022-11-19 09:51:56] - TRADE : From Columbus to Anaheim : Esa Lindell, Patrice Bergeron.
[2022-11-19 09:51:56] - TRADE : From Anaheim to Columbus : Darnell Nurse, 2 000 000 $ (Money), Y:21-RND:3-PIT, Y:22-RND:4-ANA.
[2022-11-18 11:57:42] - Erik Haula signed with Columbus for 975 000 $ for 3 year(s).
[2022-11-18 11:57:42] - Erik Haula was added to Columbus.
[2022-11-18 11:57:27] - Vinnie Hinostroza signed with Columbus for 975 000 $ for 3 year(s).
[2022-11-18 11:57:27] - Vinnie Hinostroza was added to Columbus.
[2022-11-16 01:05:03] - Michal Neuvirth was released.
[2022-11-16 01:05:03] - Columbus paid 0 $ to release Michal Neuvirth.
[2022-11-16 01:04:12] - Corey Perry was released.
[2022-11-16 01:04:12] - Columbus paid 0 $ to release Corey Perry.
[2022-11-12 18:56:35] - TRADE : From Philadelphie to Columbus : Andre Burakovsky, William Carrier, Keith Kinkaid, Y:21-RND:1-PHI.
[2022-11-12 18:56:35] - TRADE : From Columbus to Philadelphie : Evan Rodrigues, Filip Forsberg, Y:21-RND:4-CLB, Y:22-RND:6-CLB.
[2022-11-12 18:44:14] - Ryan Dzingel signed with Columbus for 1 100 000 $ for 3 year(s).
[2022-11-12 18:44:14] - Ryan Dzingel was added to Columbus.
[2022-11-12 18:35:55] - Dustin Brown signed with Columbus for 1 100 000 $ for 3 year(s).
[2022-11-12 18:35:55] - Dustin Brown was added to Columbus.
[2022-11-12 18:35:34] - Dave Bolland signed with Columbus for 980 000 $ for 3 year(s).
[2022-11-12 18:35:34] - Dave Bolland was added to Columbus.
[2022-11-10 20:53:45] - Claude Giroux signed with Columbus for 5 300 000 $ for 3 year(s) / Option : 1 Way Contract .
[2022-11-10 20:53:45] - Claude Giroux was added to Columbus.



[2023-07-12 19:25:20] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5
[2023-07-10 19:58:51] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5
[2023-07-07 21:02:49] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5
[2023-07-03 22:08:30] Victor Rask from Columbus is back from Exhaustion.
[2023-07-03 22:08:24] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5
[2023-07-01 05:51:03] Victor Rask from Columbus is injured from Exhaustion.
[2023-06-28 20:53:06] Brendan Leipsic from Columbus is back from Strained Right Knee Injury.
[2023-06-28 20:53:06] New Record for Team's Most Penalties Minutes (47) in 1 Game for Columbus!
[2023-06-28 20:52:50] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5
[2023-06-28 20:52:50] Luke Kunin of Columbus was sent down to farm.
[2023-06-28 20:52:50] Denis Gurianov of Columbus was sent down to farm.
[2023-06-28 20:52:50] Nicolas Hague of Columbus was sent down to farm.
[2023-06-28 20:52:50] Drew Stafford of Columbus was sent to pro.
[2023-06-28 20:52:50] Cody McLeod of Columbus was sent to pro.
[2023-06-26 23:16:35] Darnell Nurse from Columbus completes suspension
[2023-06-26 23:11:54] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5
[2023-06-26 23:11:54] Nicolas Hague of Columbus was sent to pro.
[2023-06-21 19:33:58] Blake Coleman from Columbus is back from Exhaustion.
[2023-06-21 19:33:58] Mikhail Sergachev from Columbus is back from Exhaustion.
[2023-06-21 19:25:40] Blake Coleman from Columbus is injured from Exhaustion.
[2023-06-21 19:25:40] Mikhail Sergachev from Columbus is injured from Exhaustion.
[2023-06-21 19:25:40] Game 909 - Darnell Nurse from Columbus suspended for 1 game(s)
[2023-06-21 19:25:40] Game 909 - Brendan Leipsic from Columbus is injured (Strained Right Knee) and is out for 1 week.
[2023-06-21 01:04:19] Auto Lines Partial Function has been run for Columbus.
[2023-06-21 01:04:18] Columbus lines errors : Normal line # 2 C is empty. Normal line # 4 RW is empty. PP line 1 LW is empty. 4 vs 4 line 1 C is empty. LastMinDef line LW is empty. Penalty Shot Player #2 is empty.
[2023-06-19 20:04:01] Victor Rask from Columbus is back from Exhaustion.
[2023-06-19 20:01:22] Last 7 Days Farm Star : 1 - Justin Danforth of Springfield (4-2-6) / 2 - Vinnie Hinostroza of Cleveland (3-2-5) / 3 - Karel Vejmelka of Hershey (0,951)
[2023-06-19 20:01:21] Victor Rask from Columbus is injured from Exhaustion.
[2023-06-19 20:00:28] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5
[2023-06-19 20:00:28] Robert Bortuzzo of Columbus was sent down to farm.
[2023-06-16 17:37:45] Dillon Dube from Cleveland is back from Exhaustion.
[2023-06-16 17:33:19] Alex Goligoski from Columbus is back from Sore Right Knee Injury.
[2023-06-16 17:33:04] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5
[2023-06-14 21:44:47] Andre Burakovsky from Columbus is back from Right Hip Injury.
[2023-06-14 21:44:47] Claude Giroux from Columbus is back from Exhaustion.
[2023-06-14 21:44:47] Dillon Dube from Cleveland is injured from Exhaustion.
[2023-06-14 21:40:23] Claude Giroux from Columbus is injured from Exhaustion.
[2023-06-14 21:37:48] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5
[2023-06-14 21:37:48] Nicolas Hague of Columbus was sent down to farm.
[2023-06-12 20:14:11] Dustin Brown of Columbus was sent to farm.
[2023-06-12 20:13:40] Auto Lines Partial Function has been run for Columbus.
[2023-06-12 20:13:40] Columbus lines errors : Normal line # 3 LW is empty. Extra Forward #0 is empty. Extra Forward #3 is empty.
[2023-06-12 20:13:40] Auto Roster Partial Function has been run for Columbus.
[2023-06-12 20:13:40] Dustin Brown of Columbus was sent to pro.
[2023-06-12 20:13:40] Columbus roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-06-09 19:45:47] Dustin Brown from Cleveland is back from Exhaustion.
[2023-06-07 21:08:22] Blake Coleman from Columbus is back from Sore Left Knee Injury.
[2023-06-07 21:08:22] Dustin Brown from Cleveland is injured from Exhaustion.
[2023-06-07 21:08:21] Game 850 - Andre Burakovsky from Columbus is injured (Right Hip) and is out for 1 week.
[2023-06-07 21:08:03] Successfully loaded Columbus lines done with STHS Client - 3.3.5.5



Mike Matheson est dehors pour 1 semaine à cause de Left Leg Injury.



Columbus 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
1Darnell Nurse1522688114-44424201663048.55%282366424.111626421700222220.00%00.6200
2Mikhail Sergachev1542684110-281922702243427.60%242377524.511424382300002600.00%00.5800
3Erik Karlsson1623474108-6615013627430811.04%278378123.342622481940002200.00%00.5700
4Claude Giroux154466010628023833243010.70%16318620.692161882202102252.2520.67414
5Zach Hyman158384886-2445011035210.80%28290218.371016266802248648.5320.5924

Columbus 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
1Cory Schneider112545440.9063.10657712634036280600.73738
2Keith Kinkaid84000.9262.0834700121620000.80010
3Dustin Tokarski2201620.8813.89108040705860000.5004

Columbus 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
2082294202144219262-4341162101021109134-2541132101123110128-18752193735920481646810237177474583251267478990215083205416.88%3607080.56%11447284850.81%1558319148.82%635129149.19%1891128520376181039508
2082294202144219262-4341162101021109134-2541132101123110128-18752193735920481646810237177474583251267478990215083205416.88%3607080.56%11447284850.81%1558319148.82%635129149.19%1891128520376181039508
Total Saison régulière164588404288438524-8682324202042218268-5082264202246220256-36150438746118408162128136204742154814901664102534815781804301664010816.88%72014080.56%22894569650.81%3116638248.82%1270258249.19%378325704074123720791017
Séries éliminatoires
Total Séries éliminatoires00000000000000.00%0.00%0.00%0.00%0.00%000000

Columbus 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

Columbus 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