Columbus Blue Jackets

GP: 82 | W: 42 | L: 34 | OTL: 6 | P: 90
GF: 250 | GA: 255 | PP%: 18.44% | PK%: 81.60%
DG: Patrick Auger | Morale : 55 | Moyenne d'Équipe : 79
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
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
1Evgeni DadonovColumbus Blue JacketsLW/RW82384785-11204812929610524612.84%23178921.82716237430300082537232.03%12800110.9528000767
2David PastrnakColumbus Blue JacketsLW/RW80344377278101951533089321111.04%16155319.4181119702860003894339.52%16700010.9912011374
3Ryan Nugent-HopkinsColumbus Blue JacketsC/LW76233861122410431641895014012.17%13158620.87612184625901131485349.12%164900000.7726200173
4Alex GalchenyukColumbus Blue JacketsC/LW/RW7825335892210381342104816011.90%9145118.6151116412680001356446.47%107600000.8022011326
5Nate SchmidtColumbus Blue JacketsD8155257-1244106810712134624.13%119191223.6111718632860000260000.00%000000.6000011212
6Mattias EkholmColumbus Blue JacketsD82154156-26115118101135509811.11%121189423.1191625782620001262100.00%000000.5900102051
7Matt DumbaColumbus Blue JacketsD74143347-558014812314237949.86%99172323.298816792811011120320.00%000000.5500000200
8Chris KreiderColumbus Blue JacketsLW801625413935210100209691447.66%7139417.4425738261000074243.64%11000000.5912010442
9Zach HymanColumbus Blue JacketsC/LW/RW85172441643510785179571309.50%16123814.5713412620001871443.79%15300000.6600010134
10Kyle TurrisColumbus Blue JacketsC79152540-9311534145166451349.04%5142418.045914422550000324049.77%175400000.5600012122
11Jonathan DrouinColumbus Blue JacketsC/LW/RW82162238-325535118168351169.52%9119714.61481227134000003047.54%48800000.6328100202
12Marco ScandellaColumbus Blue JacketsD77112536-959151387278204914.10%93146018.96415341190111171010.00%000000.4900201021
13Ian ColeColumbus Blue JacketsD8152227-47010122446626577.58%69136716.8824629164000167100.00%000000.3900010013
14Travis HamonicColumbus Blue JacketsD8242226170101387040142910.00%91134916.45000090000226000.00%000000.3900011030
15Phillip DanaultColumbus Blue JacketsC80131225-132158717899286113.13%9130716.3401123500002380152.54%169400100.3803000120
16Matt NietoColumbus Blue JacketsLW/RW82639-817520406418389.38%86858.360000001122060041.38%5800000.2601010001
17Marian GaborikColumbus Blue JacketsLW/RW79628-5100294052143811.54%782510.4500006000012131.91%4700000.1900000110
18Brendan LeipsicColumbus Blue JacketsC/LW80347-1014022383312339.09%24345.4400000000000039.23%49200000.3200000010
19Jake VirtanenColumbus Blue JacketsRW41134-42202616246184.17%22486.0700001000000050.00%5800000.3200000000
20Dylan StromeMonsters (Clb)C4011000248020.00%05614.0900002000040029.17%7200000.3500000000
21Madison BoweyMonsters (Clb)D10011660333100.00%512212.290000100002000.00%000000.1600000000
22Nick CousinsMonsters (Clb)C2000000000100.00%0105.080000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1497267478745-46780130163118642590763186010.31%7232503416.72621221846353004134222216412347.94%794600220.601032699284738
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
1Braden HoltbyColumbus Blue Jackets73372960.8983.0841534421320790310.7142872101031
2Jaroslav HalakColumbus Blue Jackets2351010.9033.24116701636490000.83361469110
Stats d'équipe Total ou en Moyenne96423970.8993.1153214527627280310.7353486791141


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$0$No
Braden HoltbyColumbus Blue JacketsG271989-09-15No217 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm6,500,000$6,500,000$0$No
Brendan LeipsicColumbus Blue JacketsC/LW221994-05-18No165 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm500,000$500,000$0$No
Chris KreiderColumbus Blue JacketsLW251991-04-30No226 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm3,500,000$3,500,000$0$No
David PastrnakColumbus Blue JacketsLW/RW201996-05-25No167 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$0$No
Evgeni DadonovColumbus Blue JacketsLW/RW271989-03-12No185 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm5,000,000$5,000,000$0$No
Ian ColeColumbus Blue JacketsD271989-02-21No219 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
Jake VirtanenColumbus Blue JacketsRW201996-08-17No208 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$0$No
Jaroslav HalakColumbus Blue JacketsG311985-05-13No186 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$0$No
Jonathan DrouinColumbus Blue JacketsC/LW/RW211995-03-28No186 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$0$No
Kyle TurrisColumbus Blue JacketsC271989-08-14No191 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$1,000,000$0$No
Marco ScandellaColumbus Blue JacketsD261990-02-23No205 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
Marian GaborikColumbus Blue JacketsLW/RW341982-02-14No204 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm880,024$880,024$0$No
Matt DumbaColumbus Blue JacketsD221994-07-24No189 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm3,500,000$3,500,000$0$No
Matt NietoColumbus Blue JacketsLW/RW241992-11-04No190 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$500,000$0$No
Mattias EkholmColumbus Blue JacketsD261990-05-23No204 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm5,000,000$5,000,000$0$No
Nate SchmidtColumbus Blue JacketsD251991-07-15No185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
Phillip DanaultColumbus Blue JacketsC231993-02-23No201 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$900,000$0$No
Ryan Nugent-HopkinsColumbus Blue JacketsC/LW231993-04-11No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
Travis HamonicColumbus Blue JacketsD261990-08-15No217 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm2,500,000$2,500,000$0$No
Zach HymanColumbus Blue JacketsC/LW/RW241992-06-09No197 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$0$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
1Anaheim Ducks2020000039-61010000036-31010000003-300.00035800111045112014079184345700.00%13192.31%01395288248.40%1353287747.03%627131747.61%473248142310
2Boston Bruins301001101011-12010010068-21000001043130.500101727002341107402933810320186818211.11%8362.50%01395288248.40%1353287747.03%627131747.61%724975254019
3Buffalo Sabres3110000178-1210000015411010000024-230.500713200024109424472248220276710330.00%12283.33%01395288248.40%1353287747.03%627131747.61%785667203819
4Calgary Flames2010100067-1100010004311010000024-220.500611170003216915351817112144111327.27%60100.00%01395288248.40%1353287747.03%627131747.61%503446142713
5Carolina Hurricanes41300000914-520200000310-72110000064220.2509182700252093213735011031387112216.67%19573.68%01395288248.40%1353287747.03%627131747.61%8960100304923
6Chicago Blackhawks21100000752110000003031010000045-120.50071320013220552319130511410449222.22%5180.00%01395288248.40%1353287747.03%627131747.61%503643132512
7Colorado Avalanche201010005501010000023-11000100032120.500510150011214811181727919505410440.00%15286.67%01395288248.40%1353287747.03%627131747.61%473151142412
8Dallas Stars2110000067-11010000014-31100000053220.500691500321056151922077171845400.00%9188.89%01395288248.40%1353287747.03%627131747.61%433052132311
9Detroit Red Wings31100001911-2110000003212010000169-330.500913220032409830283948518385813215.38%6350.00%01395288248.40%1353287747.03%627131747.61%775469223819
10Edmonton Oilers210000017611000000134-11100000042230.750714210032217627212210441844113323.08%20100.00%01395288248.40%1353287747.03%627131747.61%513747142512
11Florida Panthers3300000012661100000021122000000105561.0001223350064209026392508825168111218.18%8275.00%01395288248.40%1353287747.03%627131747.61%735268213719
12Los Angeles Kings22000000945110000004131100000053241.0009182700234059231719059193139800.00%7185.71%01395288248.40%1353287747.03%627131747.61%432851152512
13Minnesota Wild211000006601010000035-21100000031220.5006121800510030101190852426437228.57%13284.62%01395288248.40%1353287747.03%627131747.61%382357162411
14Montreal Canadiens31200000810-2211000008801010000002-220.333816241034109329382608729255210220.00%10370.00%01395288248.40%1353287747.03%627131747.61%664575223718
15Nashville Predators21100000770110000005321010000024-220.500713200012404817131806014263413538.46%13284.62%01395288248.40%1353287747.03%627131747.61%443050152412
16New Jersey Devils42200000910-12020000025-32200000075240.50091726006120105392838013432239010220.00%8275.00%01395288248.40%1353287747.03%627131747.61%8759100295126
17New York Islanders422000001394211000009542110000044040.5001324370043601184335400982722561516.67%11190.91%11395288248.40%1353287747.03%627131747.61%966994304925
18New York Rangers42200000121112020000048-42200000083540.50012233501552010135412501044420701516.67%10190.00%01395288248.40%1353287747.03%627131747.61%1007188285025
19Ottawa Senators330000001165110000006332200000053261.000111829013800852332300701823601119.09%90100.00%01395288248.40%1353287747.03%627131747.61%714667224021
20Philadelphia Flyers401000211414020100010440200000111010050.625142337006244108432834131333671887228.57%18477.78%01395288248.40%1353287747.03%627131747.61%9362109315226
21Phoenix Coyotes22000000835110000005321100000030341.00081321013320662122230561412387114.29%6183.33%01395288248.40%1353287747.03%627131747.61%493545132512
22Pittsburgh Penguins42100100910-12010010037-42200000063350.62591726004230130443847111533378716212.50%13192.31%01395288248.40%1353287747.03%627131747.61%1017189285225
23San Jose Sharks21100000711-4110000004311010000038-520.50071219005200732625220611934371119.09%12375.00%01395288248.40%1353287747.03%627131747.61%493446132411
24St. Louis Blues20100010611-51010000017-61000001054120.500681400212263142325691301646010.00%4250.00%01395288248.40%1353287747.03%627131747.61%442954142612
25Tampa Bay Lightning31200000610-41010000025-32110000045-120.3336814014110972834350823122451417.14%11190.91%01395288248.40%1353287747.03%627131747.61%725070213718
26Toronto Maple Leafs32100000862211000006511100000021140.6678132100503011040304007019286513323.08%9277.78%01395288248.40%1353287747.03%627131747.61%816059203819
Total82353402254250255-541142101212119136-174121130104213111912900.5492504466961598757012245079382880457249971076616633205918.44%2885381.60%11395288248.40%1353287747.03%627131747.61%1979138019595981040519
28Vancouver Canucks20200000511-61010000025-31010000036-300.0005914002210512217120802626416233.33%13469.23%01395288248.40%1353287747.03%627131747.61%433052132411
29Vegas Golden Knights220000001064110000004221100000064241.000101626004330682323220451512358337.50%6266.67%01395288248.40%1353287747.03%627131747.61%564138132513
30Washington Capitals42100010181352110000010822100001085360.750183452007282153514850813742289122627.27%90100.00%01395288248.40%1353287747.03%627131747.61%1077888274925
31Winnipeg Jets2020000038-51010000024-21010000014-300.0003690011106119132906326831900.00%3166.67%01395288248.40%1353287747.03%627131747.61%493445132512
_Since Last GM Reset82353402254250255-541142101212119136-174121130104213111912900.5492504466961598757012245079382880457249971076616633205918.44%2885381.60%11395288248.40%1353287747.03%627131747.61%1979138019595981040519
_Vs Conference52232000243155149626814002117383-102615600032826616590.567155277432136246437158251653251938149842543610491973216.24%1613081.37%11395288248.40%1353287747.03%627131747.61%12708881226383665334
_Vs Division281112001318481314210001103547-12149200021493415300.5368415624001342027680827625526922831245239553971616.49%881484.09%11395288248.40%1353287747.03%627131747.61%676472671206355178

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8290W225044669624502499710766166315
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8235342254250255
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114211212119136
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4121131042131119
Derniers 10 Matchs
WLOTWOTL SOWSOL
450100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3205918.44%2885381.60%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
7938288045798757012
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
1395288248.40%1353287747.03%627131747.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1979138019595981040519


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
2 - 2018-09-069Columbus Blue Jackets2Detroit Red Wings4LSommaire du Match
3 - 2018-09-0715Carolina Hurricanes6Columbus Blue Jackets2LSommaire du Match
7 - 2018-09-1137Colorado Avalanche3Columbus Blue Jackets2LR3Sommaire du Match
9 - 2018-09-1348Columbus Blue Jackets5Florida Panthers3WSommaire du Match
10 - 2018-09-1469Columbus Blue Jackets1Tampa Bay Lightning0WSommaire du Match
15 - 2018-09-1990Philadelphia Flyers2Columbus Blue Jackets3WXXSommaire du Match
17 - 2018-09-21103Chicago Blackhawks0Columbus Blue Jackets3WSommaire du Match
20 - 2018-09-24122Phoenix Coyotes3Columbus Blue Jackets5WSommaire du Match
22 - 2018-09-26143Columbus Blue Jackets5St. Louis Blues4WXXSommaire du Match
24 - 2018-09-28150Buffalo Sabres2Columbus Blue Jackets4WSommaire du Match
27 - 2018-10-01171Detroit Red Wings2Columbus Blue Jackets3WSommaire du Match
29 - 2018-10-03188Columbus Blue Jackets3San Jose Sharks8LSommaire du Match
31 - 2018-10-05198Columbus Blue Jackets5Los Angeles Kings3WSommaire du Match
32 - 2018-10-06207Columbus Blue Jackets0Anaheim Ducks3LSommaire du Match
34 - 2018-10-08215Dallas Stars4Columbus Blue Jackets1LSommaire du Match
37 - 2018-10-11241Columbus Blue Jackets5Washington Capitals3WSommaire du Match
38 - 2018-10-12245New York Rangers5Columbus Blue Jackets3LSommaire du Match
40 - 2018-10-14262Columbus Blue Jackets5Dallas Stars3WSommaire du Match
43 - 2018-10-17278Florida Panthers1Columbus Blue Jackets2WSommaire du Match
45 - 2018-10-19293Columbus Blue Jackets4Carolina Hurricanes1WSommaire du Match
47 - 2018-10-21315Columbus Blue Jackets2Toronto Maple Leafs1WSommaire du Match
50 - 2018-10-24337Toronto Maple Leafs2Columbus Blue Jackets4WSommaire du Match
51 - 2018-10-25354Columbus Blue Jackets4Pittsburgh Penguins2WSommaire du Match
53 - 2018-10-27362Columbus Blue Jackets4Detroit Red Wings5LXXSommaire du Match
56 - 2018-10-30383Minnesota Wild5Columbus Blue Jackets3LSommaire du Match
58 - 2018-11-01403Columbus Blue Jackets2New York Islanders1WSommaire du Match
61 - 2018-11-04417Calgary Flames3Columbus Blue Jackets4WXSommaire du Match
63 - 2018-11-06434Columbus Blue Jackets5Philadelphia Flyers4WXXSommaire du Match
65 - 2018-11-08447Washington Capitals5Columbus Blue Jackets8WSommaire du Match
68 - 2018-11-11468Vancouver Canucks5Columbus Blue Jackets2LSommaire du Match
70 - 2018-11-13480Los Angeles Kings1Columbus Blue Jackets4WSommaire du Match
72 - 2018-11-15495Anaheim Ducks6Columbus Blue Jackets3LSommaire du Match
74 - 2018-11-17512Vegas Golden Knights2Columbus Blue Jackets4WSommaire du Match
77 - 2018-11-20533New Jersey Devils3Columbus Blue Jackets1LSommaire du Match
79 - 2018-11-22554Columbus Blue Jackets5Philadelphia Flyers6LXXSommaire du Match
80 - 2018-11-23562Columbus Blue Jackets5New Jersey Devils4WSommaire du Match
81 - 2018-11-24572Columbus Blue Jackets2New York Rangers0WSommaire du Match
82 - 2018-11-25580Toronto Maple Leafs3Columbus Blue Jackets2LSommaire du Match
85 - 2018-11-28602Ottawa Senators3Columbus Blue Jackets6WSommaire du Match
89 - 2018-12-02631Columbus Blue Jackets2Carolina Hurricanes3LSommaire du Match
90 - 2018-12-03637Columbus Blue Jackets5Florida Panthers2WSommaire du Match
93 - 2018-12-06664Columbus Blue Jackets3Tampa Bay Lightning5LSommaire du Match
95 - 2018-12-08672Nashville Predators3Columbus Blue Jackets5WSommaire du Match
97 - 2018-12-10698Columbus Blue Jackets3Washington Capitals2WXXSommaire du Match
98 - 2018-12-11700New York Rangers3Columbus Blue Jackets1LSommaire du Match
100 - 2018-12-13711New Jersey Devils2Columbus Blue Jackets1LSommaire du Match
103 - 2018-12-16735Montreal Canadiens4Columbus Blue Jackets3LSommaire du Match
104 - 2018-12-17744Columbus Blue Jackets3Minnesota Wild1WSommaire du Match
110 - 2018-12-23774Buffalo Sabres2Columbus Blue Jackets1LXXSommaire du Match
112 - 2018-12-25780Columbus Blue Jackets1Winnipeg Jets4LSommaire du Match
114 - 2018-12-27789St. Louis Blues7Columbus Blue Jackets1LSommaire du Match
117 - 2018-12-30811Columbus Blue Jackets3Colorado Avalanche2WXR3Sommaire du Match
119 - 2019-01-01823Columbus Blue Jackets3Phoenix Coyotes0WSommaire du Match
121 - 2019-01-03850Columbus Blue Jackets6Vegas Golden Knights4WSommaire du Match
124 - 2019-01-06865Washington Capitals3Columbus Blue Jackets2LSommaire du Match
126 - 2019-01-08878New York Islanders1Columbus Blue Jackets6WSommaire du Match
128 - 2019-01-10894Columbus Blue Jackets4Chicago Blackhawks5LSommaire du Match
130 - 2019-01-12910Tampa Bay Lightning5Columbus Blue Jackets2LSommaire du Match
131 - 2019-01-13921Columbus Blue Jackets0Montreal Canadiens2LSommaire du Match
134 - 2019-01-16943Columbus Blue Jackets1Ottawa Senators0WSommaire du Match
135 - 2019-01-17946San Jose Sharks3Columbus Blue Jackets4WSommaire du Match
138 - 2019-01-20971Pittsburgh Penguins4Columbus Blue Jackets1LSommaire du Match
140 - 2019-01-22986Philadelphia Flyers2Columbus Blue Jackets1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-241001Edmonton Oilers4Columbus Blue Jackets3LXXSommaire du Match
143 - 2019-01-251010Winnipeg Jets4Columbus Blue Jackets2LSommaire du Match
145 - 2019-01-271024Columbus Blue Jackets2New Jersey Devils1WSommaire du Match
147 - 2019-01-291041Columbus Blue Jackets2Pittsburgh Penguins1WSommaire du Match
149 - 2019-01-311050Pittsburgh Penguins3Columbus Blue Jackets2LXSommaire du Match
151 - 2019-02-021069Columbus Blue Jackets2New York Islanders3LSommaire du Match
152 - 2019-02-031074Boston Bruins4Columbus Blue Jackets3LSommaire du Match
155 - 2019-02-061093Carolina Hurricanes4Columbus Blue Jackets1LSommaire du Match
156 - 2019-02-071100Columbus Blue Jackets4Boston Bruins3WXXSommaire du Match
159 - 2019-02-101123Columbus Blue Jackets2Calgary Flames4LSommaire du Match
161 - 2019-02-121140Columbus Blue Jackets4Edmonton Oilers2WSommaire du Match
164 - 2019-02-151167Columbus Blue Jackets3Vancouver Canucks6LSommaire du Match
166 - 2019-02-171179New York Islanders4Columbus Blue Jackets3LSommaire du Match
168 - 2019-02-191191Montreal Canadiens4Columbus Blue Jackets5WSommaire du Match
170 - 2019-02-211208Columbus Blue Jackets2Nashville Predators4LSommaire du Match
171 - 2019-02-221216Columbus Blue Jackets2Buffalo Sabres4LSommaire du Match
173 - 2019-02-241231Boston Bruins4Columbus Blue Jackets3LXSommaire du Match
176 - 2019-02-271256Columbus Blue Jackets6New York Rangers3WSommaire du Match
177 - 2019-02-281266Columbus Blue Jackets4Ottawa Senators3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance239,410198,13578,531155,00339,510
Attendance PCT97.32%96.65%95.77%94.51%96.37%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17331 - 96.29% 1,088,336$44,621,769$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
49,247,043$ 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
49,670,024$ 48,117,260$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 286,271$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 49,670,024$ 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:70
*Dylan StromeAGE:19PO:1OV:69
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



[2019-03-28 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.
[2019-03-04 11:48:18] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.7.7
[2019-03-04 11:48:18] Madison Bowey of Columbus Blue Jackets was sent to pro.
[2019-03-03 13:41:53] Game 1010 - Marco Scandella from Columbus Blue Jackets is injured (Torn Right MCL) and is out for 2 weeks.



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
1382353402254250255-541142101212119136-174121130104213111912902504466961598757012245079382880457249971076616633205918.44%2885381.60%11395288248.40%1353287747.03%627131747.61%1979138019595981040519
Total Saison Régulière82353402254250255-541142101212119136-174121130104213111912902504466961598757012245079382880457249971076616633205918.44%2885381.60%11395288248.40%1353287747.03%627131747.61%1979138019595981040519
Séries
1273400000181803120000078-1422000001110161835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345
1273400000181803120000078-1422000001110161835530054901845755657246676215924520.83%24579.17%010423045.22%13128446.13%4010637.74%158106180549345
Total Séries14680000036360624000001416-284400000222021236701060010818036811411013014492134124318481020.83%481079.17%020846045.22%26256846.13%8021237.74%31621236110918690