Columbus Blue 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 : 99 | Moyenne d'Équipe : 79
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1David PastrnakXX100.00815585968290949657919389558078163840
2Evgeni DadonovXX100.00705596928888919550898991558078163830
3Ryan Nugent-HopkinsXX100.00645587918686909085858887558080164810
4Chris Kreider (A)X100.00965583929191878761828080558284155800
5Alex Galchenyuk (A)XXX100.00705587938285879071857980557586155790
6Jonathan DrouinXXX100.00765590958180888977877377558073172780
7Zach HymanXXX100.00935586807881878562807588558078157770
8Phillip DanaultX100.00785577848585848489797181557370147750
9Marian Gaborik (C)XX100.00705580868282807950717770559192166740
10Matt NietoXX100.00705581837580807960687583557574172730
11Jake VirtanenX100.00865574807975837760677078557070180710
12Brendan LeipsicXX100.00725577827271758064796872557669172710
13Matt DumbaX100.00885587948894889425897494558180147840
14Mattias EkholmX100.00805585919194959225807098558280173840
15Nate SchmidtX100.00735597908291739225886595558280154810
16Marco ScandellaX100.00835588848693838625736590558279162800
17Travis HamonicX100.00835573888788878525676190558381173790
18Ian ColeX100.00855573768882878525736685558480160770
Rayé
1Kyle TurrisX100.00705583908585869088887777558182122780
MOYENNE D'ÉQUIPE100.0078558488848586875480758455807916178
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 Holtby100.0085859088868884878786559089134850
2Jaroslav Halak100.0083878986818482868485558887137830
Rayé
MOYENNE D'ÉQUIPE100.008486908784868387868655898813684
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner77828384756076CAN4751,000,000$


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'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex GalchenyukColumbus Blue JacketsC/LW/RW221994-02-11No198 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm2,690,000$2,690,000$768,571$No
Braden HoltbyColumbus Blue JacketsG271989-09-15No217 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm6,500,000$6,500,000$1,857,143$No
Brendan LeipsicColumbus Blue JacketsC/LW221994-05-18No165 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm500,000$500,000$142,857$No
Chris KreiderColumbus Blue JacketsLW251991-04-30No226 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$1,000,000$No
David PastrnakColumbus Blue JacketsLW/RW201996-05-25No167 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$257,143$No
Evgeni DadonovColumbus Blue JacketsLW/RW271989-03-12No185 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm5,000,000$5,000,000$1,428,571$No
Ian ColeColumbus Blue JacketsD271989-02-21No219 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$714,286$No
Jake VirtanenColumbus Blue JacketsRW201996-08-17No208 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$257,143$No
Jaroslav HalakColumbus Blue JacketsG311985-05-13No186 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$1,000,000$No
Jonathan DrouinColumbus Blue JacketsC/LW/RW211995-03-28No186 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$257,143$No
Kyle TurrisColumbus Blue JacketsC271989-08-14No191 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$285,714$No
Marco ScandellaColumbus Blue JacketsD261990-02-23No205 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$714,286$No
Marian GaborikColumbus Blue JacketsLW/RW341982-02-14No204 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm880,024$880,024$251,435$No
Matt DumbaColumbus Blue JacketsD221994-07-24No189 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm3,500,000$3,500,000$1,000,000$No
Matt NietoColumbus Blue JacketsLW/RW241992-11-04No190 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$500,000$142,857$No
Mattias EkholmColumbus Blue JacketsD261990-05-23No204 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$1,428,571$No
Nate SchmidtColumbus Blue JacketsD251991-07-15No185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$714,286$No
Phillip DanaultColumbus Blue JacketsC231993-02-23No201 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$900,000$257,143$No
Ryan Nugent-HopkinsColumbus Blue JacketsC/LW231993-04-11No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$714,286$No
Travis HamonicColumbus Blue JacketsD261990-08-15No217 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$714,286$No
Zach HymanColumbus Blue JacketsC/LW/RW241992-06-09No197 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$285,714$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2124.86197 Lbs6 ft01.812,365,239$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,670,024$27,880,024$12,380,024$3,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David PastrnakRyan Nugent-HopkinsEvgeni Dadonov35113
2Chris KreiderPhillip DanaultAlex Galchenyuk33113
3Marian GaborikJonathan DrouinZach Hyman25122
4Matt NietoBrendan LeipsicJake Virtanen7131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaMattias Ekholm32122
2Nate SchmidtMarco Scandella31032
3Travis HamonicIan Cole25131
4Matt DumbaNate Schmidt12023
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David PastrnakRyan Nugent-HopkinsEvgeni Dadonov60113
2Chris KreiderPhillip DanaultAlex Galchenyuk40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaNate Schmidt60113
2Marco ScandellaMattias Ekholm40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Phillip DanaultMatt Nieto60131
2Zach HymanEvgeni Dadonov40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nate SchmidtMattias Ekholm60140
2Matt DumbaTravis Hamonic40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Phillip Danault60140Nate SchmidtMattias Ekholm60140
2Zach Hyman40140Matt DumbaTravis Hamonic40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan Nugent-HopkinsDavid Pastrnak60122
2Alex GalchenyukEvgeni Dadonov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt DumbaMattias Ekholm60122
2Nate SchmidtIan Cole40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgeni DadonovRyan Nugent-HopkinsDavid PastrnakNate SchmidtMatt Dumba
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgeni DadonovPhillip DanaultDavid PastrnakNate SchmidtMattias Ekholm
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Galchenyuk, Phillip Danault, Ryan Nugent-HopkinsAlex Galchenyuk, Evgeni DadonovDavid Pastrnak
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nate Schmidt, Matt Dumba, Mattias EkholmIan ColeTravis Hamonic, Mattias Ekholm
Tirs de Pénalité
Ryan Nugent-Hopkins, Evgeni Dadonov, Alex Galchenyuk, David Pastrnak, Chris Kreider
Gardien
#1 : Braden Holtby, #2 : Jaroslav Halak


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$ 49,670,024$ 26,344,000$ 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$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 4 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 174,453,644$ 174,453,644$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
David PastrnakAGE:20PO:1OV:84
Evgeni DadonovAGE:27PO:1OV:83
Ryan Nugent-HopkinsAGE:23PO:1OV:81
Chris KreiderAGE:25PO:1OV:80
Alex GalchenyukAGE:22PO:1OV:79
Jonathan DrouinAGE:21PO:1OV:78
Zach HymanAGE:24PO:1OV:77
Marian GaborikAGE:34PO:1OV:74
Matt NietoAGE:24PO:1OV:73
Brendan LeipsicAGE:22PO:1OV:71
*Oskar LindblomAGE:20PO:1OV:67
Daniel AudetteAGE:20PO:1OV:58
Nick TarnaskyAGE:32PO:1OV:58
Tim BozonAGE:22PO:1OV:56
Lauri KorpikoskiAGE:30PO:1OV:54
Joshua WinquistAGE:23PO:1OV:52
*Olivier ArchambaultAGE:23PO:1OV:52
Ryan Nugent-HopkinsAGE:23PO:1OV:81
Alex GalchenyukAGE:22PO:1OV:79
Kyle TurrisAGE:27PO:1OV:78
Jonathan DrouinAGE:21PO:1OV:78
Zach HymanAGE:24PO:1OV:77
Phillip DanaultAGE:23PO:1OV:75
Brendan LeipsicAGE:22PO:1OV:71
Oscar LindbergAGE:25PO:1OV:69
*Dylan StromeAGE:19PO:1OV:68
Nick CousinsAGE:23PO:1OV:68
Chris KellyAGE:36PO:1OV:63
Zack StortiniAGE:31PO:1OV:58
*Colin WhiteAGE:19PO:1OV:56
Quinton HowdenAGE:24PO:1OV:56
*Matt BucklesAGE:21PO:1OV:55
*Emil PetterssonAGE:22PO:1OV:54
*Stephen MacAulayAGE:24PO:1OV:54
David PastrnakAGE:20PO:1OV:84
Evgeni DadonovAGE:27PO:1OV:83
Alex GalchenyukAGE:22PO:1OV:79
Jonathan DrouinAGE:21PO:1OV:78
Zach HymanAGE:24PO:1OV:77
Marian GaborikAGE:34PO:1OV:74
Matt NietoAGE:24PO:1OV:73
Jake VirtanenAGE:20PO:1OV:71
Nikita SoshnikovAGE:23PO:1OV:62
Daniel CatenacciAGE:23PO:1OV:58
Mike BrownAGE:31PO:1OV:58
Ryan HaggertyAGE:23PO:1OV:57
*Akim AliuAGE:27PO:1OV:55
Brandon AldersonAGE:24PO:1OV:54
Buddy RobinsonAGE:25PO:1OV:54
*Cody KunykAGE:26PO:1OV:54
*Zach O'BrienAGE:24PO:1OV:54
Mike SisloAGE:28PO:1OV:52

Défense #1Défense #2Gardien
Matt DumbaAGE:22PO:1OV:84
Mattias EkholmAGE:26PO:1OV:84
Nate SchmidtAGE:25PO:1OV:81
Marco ScandellaAGE:26PO:1OV:80
Travis HamonicAGE:26PO:1OV:79
Ian ColeAGE:27PO:1OV:77
Madison BoweyAGE:21PO:1OV:71
Ryan SproulAGE:24PO:1OV:66
Brian LashoffAGE:26PO:1OV:56
Ville PokkaAGE:22PO:1OV:56
Mike WeberAGE:29PO:1OV:55
Kyle BurroughsAGE:21PO:1OV:54
*Robin NorellAGE:21PO:1OV:54
*Jeremy RoyAGE:19PO:1OV:54
Will O'NeillAGE:28PO:1OV:54
Josiah DidierAGE:23PO:1OV:53
John NegrinAGE:27PO:1OV:53
*Brennan MenellAGE:19PO:1OV:53
Braden HoltbyAGE:27PO:1OV:85
Jaroslav HalakAGE:31PO:1OV:83
Jack CampbellAGE:25PO:1OV:70
Eamon McAdamAGE:22PO:1OV:65
Jeff MalcolmAGE:27PO:1OV:58
Marcus HogbergAGE:22PO:1OV:55
*Filip GustavssonAGE:18PO:1OV:54

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 Blue Jackets1380
Cal HeeterColumbus Blue Jackets
Carter HartColumbus Blue Jackets1231
Casey MittelstadtColumbus Blue Jackets136
David KaseColumbus Blue Jackets11178
Evan CormierColumbus Blue Jackets12172
Filip WesterlundColumbus Blue Jackets13109
Jake EvansColumbus Blue Jackets10157
Jake LeschyshynColumbus Blue Jackets1395
Jonah GadjovichColumbus Blue Jackets1359
Kasper BjorkqvistColumbus Blue Jackets12121
Leon GawankeColumbus Blue Jackets13171
Marcus HögbergColumbus Blue Jackets992

Choix au Repêchage

Année R1R2R3R4R5R6
14Clb Clb Clb Clb Clb
15Clb Clb Clb Clb
16Clb Clb Clb Clb
17Clb Clb Clb Chi Clb Clb Clb
18Clb Clb Clb Clb



[2019-04-18 08:22:24] - Monsters was eliminated at round 1 of year 13.
[2019-04-06 13:17:23] - Columbus Blue Jackets didn't make playoff for year 13.
[2019-03-28 06:13:37] - Chris Kreider has been selected as assistant for Columbus Blue Jackets.
[2019-03-28 06:13:37] - Alex Galchenyuk is no longer as assistant for Columbus Blue Jackets.
[2019-03-28 06:13:37] - Alex Galchenyuk has been selected as assistant for Columbus Blue Jackets.
[2019-03-28 06:13:37] - Unknown Player is no longer as assistant for Columbus Blue Jackets.
[2019-02-02 19:22:44] - TRADE : From Phoenix Coyotes to Columbus Blue Jackets : Marco Scandella (80).
[2019-02-02 19:22:44] - TRADE : From Columbus Blue Jackets to Phoenix Coyotes : Nick Holden (79), Y:18-RND:2-Clb, Y:18-RND:3-Clb.
[2019-01-27 13:48:01] - Alex Galchenyuk has been selected as assistant for Columbus Blue Jackets.
[2019-01-27 13:48:01] - Unknown Player is no longer as assistant for Columbus Blue Jackets.
[2019-01-23 11:18:43] - TRADE : From Columbus Blue Jackets to Chicago Blackhawks : David Kampf (68), Jayce Hawryluk (55).
[2019-01-23 11:18:43] - TRADE : From Chicago Blackhawks to Columbus Blue Jackets : Zach Hyman (77), Y:17-RND:3-Chi.
[2019-01-02 20:45:49] - TRADE : From Columbus Blue Jackets to Calgary Flames : Jesse Puljujarvi (73), Mike Reilly (71), Y:15-RND:2-Chi.
[2019-01-02 20:45:49] - TRADE : From Calgary Flames to Columbus Blue Jackets : Kyle Turris (79).
[2018-12-08 15:10:25] - New Record for Team's Most Points (24) in 1 Game for Columbus Blue Jackets!
[2018-12-08 15:10:25] - New Record for Team's Most Assists (16) in 1 Game for Columbus Blue Jackets!
[2018-11-19 12:25:36] - TRADE : From Vegas Golden Knights to Columbus Blue Jackets : Jaroslav Halak (82).
[2018-11-19 12:25:36] - TRADE : From Columbus Blue Jackets to Vegas Golden Knights : Jacob Markstrom (85).
[2018-11-14 11:55:28] - TRADE : From Columbus Blue Jackets to Chicago Blackhawks : Alex Tuch (77), Ryan Dzingel (77), Nick Jensen (74).
[2018-11-14 11:55:28] - TRADE : From Chicago Blackhawks to Columbus Blue Jackets : Ryan Nugent-Hopkins (81), David Kampf (69), Y:15-RND:2-Chi.
[2018-09-29 10:53:20] - Team Name Change : Springfield Falcons changed name to Monsters



[2019-04-06 12:59:08] Oscar Lindberg from Monsters has scored a Hat Trick!
[2019-04-06 12:58:41] Last 7 Days Pro Star : 1 - Chris Kreider of Columbus Blue Jackets (4-2-6) / 2 - Sean Couturier of Minnesota Wild (2-2-4) / 3 - Jordan Staal of Winnipeg Jets (2-2-4)
[2019-04-06 12:58:37] Kyle Turris from Columbus Blue Jackets is back from Lacerated Left Calf Injury.
[2019-04-06 11:54:15] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-04-02 08:18:43] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2019-04-02 08:18:43] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2019-04-02 08:18:43] Jake Virtanen of Columbus Blue Jackets was sent to pro.
[2019-03-31 09:06:22] Game 1216 - Kyle Turris from Columbus Blue Jackets is injured (Lacerated Left Calf) and is out for 1 week.
[2019-03-28 06:13:37] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-03-28 06:13:37] Jake Virtanen of Columbus Blue Jackets was sent down to farm.
[2019-03-25 07:50:10] Ryan Nugent-Hopkins from Columbus Blue Jackets is back from Torn Left Knee Ligaments Injury.
[2019-03-18 05:14:43] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-03-18 05:14:43] Columbus Blue Jackets Email Address was changed to .
[2019-03-18 05:14:42] Madison Bowey of Columbus Blue Jackets was sent down to farm.
[2019-03-17 10:30:03] Marco Scandella from Columbus Blue Jackets is back from Torn Right MCL Injury.
[2019-03-15 05:22:07] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-03-13 09:05:48] Phillip Danault from Columbus Blue Jackets is back from Right Knee Injury.
[2019-03-12 08:47:00] Game 1074 - Ryan Nugent-Hopkins from Columbus Blue Jackets is injured (Torn Left Knee Ligaments) and is out for 2 weeks.
[2019-03-12 08:46:08] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-03-11 09:22:51] Oskar Lindblom from Monsters has scored a Hat Trick!
[2019-03-11 09:22:26] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2019-03-11 09:22:26] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2019-03-11 09:22:26] Jake Virtanen of Columbus Blue Jackets was sent to pro.
[2019-03-09 05:40:15] Game 1050 - Phillip Danault from Columbus Blue Jackets is injured (Right Knee) and is out for 1 week.



Pas de Blessure ou de Suspension.


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