Columbus Jackets

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrick Auger | Morale : 50 | Moyenne d'Équipe : 72
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Ryan Nugent-HopkinsXX100.006438837971869577828078817971698777750
2David PastrnakX100.006439828473847982558386588465678176740
3Chris Kreider (C)X100.008443718087839276567477597875806977730
4Zach Hyman (A)XX100.008054747379838471747272886973715278730
5Phillip DanaultX100.007645797477869473867867856971697678730
6Evgenii Dadonov (A)XX100.005636927769849576528079637680745277720
7Jonathan DrouinXXX100.006238848373829482767871598267698677720
8Alex GalchenyukXXX100.006340847879808577717573527669718677700
9Dylan StromeX100.005337867483819273797772637463658977700
10Colin WhiteXX100.005638847371818471807467657263648278680
11Matt NietoXX100.005936906670757765536864836573686177670
12Oskar LindblomXX100.006937876776759465536667646365675677660
13Ian ColeX100.008168596481858463307359885178706677730
14Matt DumbaX100.008347807871905077308076756869668430720
15Nate SchmidtX100.005936907376887472307967845675693675720
16Mike MathesonX100.006441736879898867307469785669667876710
17Marco ScandellaX100.007239816585837663307164775277705763700
18Dan HamhuisX100.006840816278817361307254774887773870690
Rayé
1Madison BoweyX100.007754736280796361307354665267656837650
MOYENNE D'ÉQUIPE100.00684281737783837154756972677169697171
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
1Braden Holtby100.00939593839291939291939278845032870
2Carter Hart100.00848886778382848382848361657576790
Rayé
MOYENNE D'ÉQUIPE100.0089929080888789888789887075635483
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner83798983716678CAN4831,000,000$


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
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


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex GalchenyukColumbus JacketsC/LW/RW251994-02-12No207 Lbs6 ft1NoNoNo3Pro & Farm2,330,000$2,330,000$2,330,000$No2,330,000$2,330,000$Lien
Braden HoltbyColumbus JacketsG291989-09-16No211 Lbs6 ft2NoNoNo2Pro & Farm5,000,000$5,000,000$5,000,000$No5,000,000$Lien
Carter HartColumbus JacketsG201998-08-13No181 Lbs6 ft2NoNoNo3Pro & Farm500,000$500,000$500,000$No500,000$500,000$Lien
Chris KreiderColumbus JacketsLW281991-04-30No220 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Colin WhiteColumbus JacketsC/RW221997-01-30No183 Lbs6 ft0NoNoNo2Pro & Farm900,000$900,000$900,000$No900,000$Lien
Dan HamhuisColumbus JacketsD361982-12-13No204 Lbs6 ft1NoNoNo1Pro & Farm2,000,111$2,000,111$2,000,111$NoLien
David PastrnakColumbus JacketsRW231996-05-25No194 Lbs6 ft0NoNoNo1Pro & Farm3,500,000$3,500,000$3,500,000$NoLien
Dylan StromeColumbus JacketsC221997-03-07No200 Lbs6 ft3NoNoNo2Pro & Farm900,000$900,000$900,000$No900,000$Lien
Evgenii DadonovColumbus JacketsLW/RW301989-03-12No185 Lbs5 ft11NoNoNo3Pro & Farm4,500,000$4,500,000$4,500,000$No4,500,000$4,500,000$Lien
Ian ColeColumbus JacketsD301989-02-21No219 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Jonathan DrouinColumbus JacketsC/LW/RW241995-03-28No193 Lbs6 ft0NoNoNo3Pro & Farm2,500,000$2,500,000$2,500,000$No2,500,000$2,500,000$Lien
Madison BoweyColumbus JacketsD241995-04-22No198 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$500,000$NoLien
Marco ScandellaColumbus JacketsD291990-02-23No210 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Matt DumbaColumbus JacketsD241994-07-25No182 Lbs6 ft0NoNoNo2Pro & Farm3,500,000$3,500,000$3,500,000$No3,500,000$Lien
Matt NietoColumbus JacketsLW/RW261992-11-05No190 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$500,000$NoLien
Mike MathesonColumbus JacketsD251994-02-27No193 Lbs6 ft2NoNoNo3Pro & Farm2,500,000$2,500,000$2,500,000$No2,500,000$2,500,000$Lien
Nate SchmidtColumbus JacketsD271991-07-16No194 Lbs6 ft1NoNoNo1Pro & Farm2,500,000$2,500,000$2,500,000$NoLien
Oskar LindblomColumbus JacketsC/LW221996-08-15No191 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$500,000$No500,000$Lien
Phillip DanaultColumbus JacketsC261993-02-24No198 Lbs6 ft1NoNoNo2Pro & Farm2,500,000$2,500,000$2,500,000$No2,500,000$Lien
Ryan Nugent-HopkinsColumbus JacketsC/LW261993-04-12No184 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Zach HymanColumbus JacketsLW/RW271992-06-09No209 Lbs6 ft1NoNoNo3Pro & Farm3,500,000$3,500,000$3,500,000$No3,500,000$3,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.95197 Lbs6 ft11.671,815,720$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
38,130,111$29,130,000$15,830,000$0$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jonathan DrouinRyan Nugent-HopkinsDavid Pastrnak35023
2Chris KreiderPhillip DanaultEvgenii Dadonov35122
3Alex GalchenyukDylan StromeZach Hyman25122
4Oskar LindblomColin WhiteMatt Nieto5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt40122
2Ian ColeMike Matheson40122
3Marco ScandellaDan Hamhuis15131
4Matt DumbaNate Schmidt5023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgenii DadonovRyan Nugent-HopkinsDavid Pastrnak65005
2Chris KreiderPhillip DanaultJonathan Drouin35005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt60014
2Mike MathesonMarco Scandella40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Phillip DanaultZach Hyman60140
2Ryan Nugent-HopkinsMatt Nieto40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian ColeMarco Scandella55140
2Dan HamhuisNate Schmidt45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Hyman60140Ian ColeMarco Scandella55140
2Phillip Danault40140Dan HamhuisNate Schmidt45140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Nugent-HopkinsDavid Pastrnak60122
2Phillip DanaultEvgenii Dadonov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt55122
2Ian ColeMike Matheson45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgenii DadonovRyan Nugent-HopkinsDavid PastrnakMatt DumbaNate Schmidt
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach HymanPhillip DanaultMatt NietoIan ColeNate Schmidt
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Evgenii Dadonov, David Pastrnak, Phillip DanaultChris Kreider, David PastrnakPhillip Danault
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ian Cole, Nate Schmidt, Matt DumbaIan ColeMike Matheson, Matt Dumba
Tirs de Pénalité
David Pastrnak, Jonathan Drouin, Ryan Nugent-Hopkins, Chris Kreider, Evgenii Dadonov
Gardien
#1 : Braden Holtby, #2 : Carter Hart


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 38,130,111$ 3,400,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 17 0

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

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 148,655,907$ 148,655,907$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Ryan Nugent-HopkinsAGE:26PO:87OV:75
Chris KreiderAGE:28PO:69OV:73
Zach HymanAGE:27PO:52OV:73
Jonathan DrouinAGE:24PO:86OV:72
Evgenii DadonovAGE:30PO:52OV:72
Alex GalchenyukAGE:25PO:86OV:70
Matt NietoAGE:26PO:61OV:67
Oskar LindblomAGE:22PO:56OV:66
Nick CousinsAGE:25PO:63OV:64
Brendan LeipsicAGE:25PO:61OV:63
Oscar LindbergAGE:27PO:58OV:63
Jonah GadjovichAGE:20PO:64OV:58
Ryan Nugent-HopkinsAGE:26PO:87OV:75
Phillip DanaultAGE:26PO:76OV:73
Jonathan DrouinAGE:24PO:86OV:72
Dylan StromeAGE:22PO:89OV:70
Alex GalchenyukAGE:25PO:86OV:70
Colin WhiteAGE:22PO:82OV:68
Oskar LindblomAGE:22PO:56OV:66
Casey MittelstadtAGE:20PO:87OV:64
Nick CousinsAGE:25PO:63OV:64
Brendan LeipsicAGE:25PO:61OV:63
Ryan HaggertyAGE:26PO:59OV:62
Emil PetterssonAGE:25PO:60OV:61
Daniel AudetteAGE:23PO:62OV:59
David PastrnakAGE:23PO:81OV:74
Zach HymanAGE:27PO:52OV:73
Jonathan DrouinAGE:24PO:86OV:72
Evgenii DadonovAGE:30PO:52OV:72
Alex GalchenyukAGE:25PO:86OV:70
Colin WhiteAGE:22PO:82OV:68
Matt NietoAGE:26PO:61OV:67
Buddy RobinsonAGE:27PO:57OV:65
Nick CousinsAGE:25PO:63OV:64
Ryan HaggertyAGE:26PO:59OV:62
Brayden BurkeAGE:22PO:72OV:59
Nikita SoshnikovAGE:25PO:51OV:58
David KaseAGE:22PO:63OV:57
Max VeronneauAGE:23PO:43OV:56

Défense #1Défense #2Gardien
Ian ColeAGE:30PO:66OV:73
Matt DumbaAGE:24PO:84OV:72
Nate SchmidtAGE:27PO:36OV:72
Mike MathesonAGE:25PO:78OV:71
Marco ScandellaAGE:29PO:57OV:70
Dan HamhuisAGE:36PO:38OV:69
Madison BoweyAGE:24PO:68OV:65
Ryan SproulAGE:26PO:67OV:65
Josiah DidierAGE:26PO:60OV:61
Jeremy RoyAGE:22PO:74OV:60
Kyle BurroughsAGE:23PO:71OV:60
Brennan MenellAGE:22PO:63OV:60
Will O'NeillAGE:31PO:54OV:60
Braden HoltbyAGE:29PO:50OV:87
Carter HartAGE:20PO:75OV:79
Marcus HogbergAGE:24PO:64OV:75
Eamon McAdamAGE:24PO:51OV:70
Evan CormierAGE:21PO:53OV:69
Filip GustavssonAGE:21PO:75OV:68

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Alexei LipanovColumbus Jackets1380
Bulat ShafigullinColumbus Jackets14105
Cole HultsColumbus Jackets13166
Filip WesterlundColumbus Jackets13109
Jake LeschyshynColumbus Jackets1395
Jonny TychonickColumbus Jackets1474
Kasper BjorkqvistColumbus Jackets12121
Leon GawankeColumbus Jackets13171
Marian GaborikColumbus Jackets
Olivier ArchambaultColumbus Jackets
Ryan SuzukiColumbus Jackets1519
Ty SmithColumbus Jackets1413

Choix au Repêchage

Année R1R2R3R4R5R6
15Clb Buf MTL Clb
16Nas Clb Clb Buf PHX Clb Clb Clb
17Clb Clb Clb Chi Dal Clb Ott Clb Clb
18Clb Clb Clb Clb
19Clb Clb Clb Clb Clb



[2020-05-21 10:50:08] - Columbus Jackets drafts Ryan Suzuki as the #19 overall pick in the Entry Draft of year 15.
[2020-05-20 18:03:05] - Team Name Change : Columbus Blue Jackets changed name to Columbus Jackets
[2020-05-08 11:42:33] - Monsters was eliminated at round 3 of year 14.
[2020-04-26 10:16:35] - Columbus Blue Jackets was eliminated at round 2 of year 14.
[2020-03-27 09:33:04] - Zack Stortini has been deleted from Columbus Blue Jackets.
[2020-03-27 09:33:01] - Zach O'Brien has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:58] - Ville Pokka has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:54] - Tim Bozon has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:51] - Stephen MacAulay has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:48] - Robin Norell has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:46] - Quinton Howden has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:43] - Nick Tarnasky has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:41] - Mike Weber has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:36] - Mike Brown has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:33] - Matt Buckles has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:29] - Marcus Högberg has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:26] - Lauri Korpikoski has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:22] - Joshua Winquist has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:17] - John Negrin has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:15] - Jeff Malcolm has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:12] - Evgeni Dadonov has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:09] - Daniel Catenacci has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:06] - Cody Kunyk has been deleted from Columbus Blue Jackets.
[2020-03-27 09:32:02] - Chris Kelly has been deleted from Columbus Blue Jackets.
[2020-03-27 09:31:59] - Cal Heeter has been deleted from Columbus Blue Jackets.
[2020-03-27 09:31:55] - Brandon Alderson has been deleted from Columbus Blue Jackets.
[2020-03-27 09:31:52] - Akim Aliu has been deleted from Columbus Blue Jackets.
[2020-01-04 05:17:29] - TRADE : From Montreal Canadiens to Columbus Blue Jackets : Y:17-RND:3-Dal, Y:15-RND:6-MTL.
[2020-01-04 05:17:29] - TRADE : From Columbus Blue Jackets to Montreal Canadiens : Jake Evans (61).



[2020-05-21 10:50:08] Columbus Jackets drafts Ryan Suzuki as the #19 overall pick in the Entry Draft of year 15.
[2020-04-13 12:42:46] Last 7 Days Farm Star : 1 - Connor Ingram of Devils (0,966) / 2 - Chris Driedger of Senators (0,955) / 3 - Marcus Hogberg of Monsters (0,957)
[2020-03-22 08:19:12] Casey Mittelstadt from Monsters has scored a Hat Trick!



Pas de Blessure ou de Suspension.


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
Séries
141046000002426-2532000001284514000001218-68244468026108028095104765276869322547817.02%39684.62%016234846.55%17634850.57%7014747.62%2441692387712864
Total Séries1046000002426-2532000001284514000001218-68244468026108028095104765276869322547817.02%39684.62%016234846.55%17634850.57%7014747.62%2441692387712864