Blue Jackets de Columbus

GP: 20 | W: 9 | L: 9 | OTL: 2 | P: 20
GF: 69 | GA: 70 | PP%: 23.42% | PK%: 78.29%
GM : Maxime Beauchemin | Morale : 40 | Team Overall : 70
Next Games #336 vs Red Wings de Détroit
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# Player Name 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
1Chris KreiderX100.008556799182768683397585626371758040760
2Brock NelsonXX99.006743898279789978857781736171727940750
3Pierre-Luc DuboisXX100.007945788277779978808084557559607840740
4Travis KonecnyXX100.007155858664709973357580592560617640710
5Alexander WennbergX100.006542948573708875787556746968696840710
6Brandon DubinskyXX100.008967837877637960956159835681846840690
7Riley NashXX100.007353917971589462576156768569706540670
8Noel AcciariXX100.009671817073658360696058842558596840660
9Zac DalpeX100.007473766673676770806073696958597040660
10Sonny MilanoX100.007573797473656566506267656445466740640
11Seth JonesX100.007945889080969479257453832568697240780
12Zach WerenskiX100.007143929076879778257054732560617040740
13David SavardX100.008045867982799960255550837571726540730
14Markus NutivaaraX100.007543978271748959255548652560616240670
15Fredrik ClaessonX100.008659917674726858255048722560606140670
16Scott HarringtonX100.007554897077617055255648732558586140650
17Devon ToewsX100.006542978068756876256250567558586240650
18Francois BeaucheminX100.007775816975657148253142714083895440650
Scratches
1Jake GuentzelXX100.007843898366819978358292607561628340750
2Cam AtkinsonXX100.006140918561819080387794657473748340750
TEAM AVERAGE99.95765387807473856947656470536566704070
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Thomas Greiss100.00906565839784779192909564658640810
2James Reimer100.00647070826860566565648267686440660
Scratches
TEAM AVERAGE100.0077686883837267787977896667754074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Tortorella75857796637378USA5912,500,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
1Seth JonesBlue Jackets de ColumbusD20522274200332745112911.11%3150425.21591437970110110210.00%000001.0700000200
2Cam AtkinsonBlue Jackets de ColumbusLW/RW1710122290051749115020.41%137021.7745915791122693031.94%7200001.1902000221
3Zach WerenskiBlue Jackets de ColumbusD2081321324013184751417.02%2549824.94751237960110109000.00%000000.8400000110
4Pierre-Luc DuboisBlue Jackets de ColumbusC/LW2081018119541364873216.67%134917.4845922860001340051.26%43700001.0300100111
5Chris KreiderBlue Jackets de ColumbusLW15710178260462053132413.21%535023.3602211630003911038.46%22100000.9712000202
6Jake GuentzelBlue Jackets de ColumbusLW/RW177714416023195791112.28%136721.6013421801012760120.69%8700000.7601000001
7Travis KonecnyBlue Jackets de ColumbusLW/RW205813-3195201942103111.90%231815.9416716820001100130.77%2600000.8200010002
8David SavardBlue Jackets de ColumbusD201101102803421305203.33%2338719.360332376000189000.00%000000.5700000020
9Brock NelsonBlue Jackets de ColumbusC/LW1337101020112021102314.29%631224.0113424400001001150.18%28100000.6401000012
10Alexander WennbergBlue Jackets de ColumbusC20268-900831229189.09%029814.901455430000220051.34%29800000.5400000001
11Brandon DubinskyBlue Jackets de ColumbusC/LW20257-7802321446224.55%324912.45000611000010065.57%12200000.5600000000
12Noel AcciariBlue Jackets de ColumbusC/RW20235-22402915251178.00%31778.8700000000000060.00%1500000.5600000000
13Fredrik ClaessonBlue Jackets de ColumbusD20134-3395261072414.29%31939.660000300000000.00%000000.4100000000
14Markus NutivaaraBlue Jackets de ColumbusD202131240167132815.38%1938619.35202876000089100.00%000000.1600000000
15Sonny MilanoBlue Jackets de ColumbusLW20303-3115712124725.00%11999.9600000000050038.89%1800000.3000100000
16Zac DalpeBlue Jackets de ColumbusC20213240113133615.38%01025.1200000000070054.37%10300000.5900000000
17Scott HarringtonBlue Jackets de ColumbusD20022080983020.00%71125.620000100007000.00%000000.3600000000
18Riley NashBlue Jackets de ColumbusC/RW20011-10295822274160.00%428214.130006360001230036.36%3300000.0700000000
19Devon ToewsBlue Jackets de ColumbusD20011-1001152000.00%51175.900000000006000.00%000000.1700000000
20Francois BeaucheminBlue Jackets de ColumbusD20000-21203353240.00%1421310.6700000000134000.00%000000.0000000000
Team Total or Average3826812219023132539734656311433812.08%154579115.16264571209880235128918447.64%171300000.66162108710
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Thomas GreissBlue Jackets de Columbus198920.8763.52110720655240200.6673191010
2James ReimerBlue Jackets de Columbus21000.8672.31104004300001.0003119000
Team Total or Average219920.8753.42121220695540200.83362020010


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alexander WennbergBlue Jackets de ColumbusC251994-09-22No196 Lbs6 ft2NoNoNo5RFAPro & Farm4,900,000$0$0$NoLink
Brandon DubinskyBlue Jackets de ColumbusC/LW331986-04-28No205 Lbs6 ft2NoNoNo3UFAPro & Farm5,850,000$0$0$NoLink
Brock NelsonBlue Jackets de ColumbusC/LW281991-10-14No212 Lbs6 ft3NoNoNo1UFAPro & Farm4,250,000$0$0$NoLink
Cam AtkinsonBlue Jackets de ColumbusLW/RW301989-06-05No179 Lbs5 ft8NoNoNo6UFAPro & Farm5,875,000$0$0$NoLink
Chris KreiderBlue Jackets de ColumbusLW281991-04-30No224 Lbs6 ft3NoNoNo2UFAPro & Farm4,625,000$0$0$NoLink
David SavardBlue Jackets de ColumbusD291990-10-22No227 Lbs6 ft2NoNoNo3UFAPro & Farm4,250,000$0$0$NoLink
Devon ToewsBlue Jackets de ColumbusD251994-02-20No181 Lbs6 ft1NoNoNo2RFAPro & Farm700,000$0$0$NoLink
Francois BeaucheminBlue Jackets de ColumbusD391980-06-04No208 Lbs6 ft1NoNoNo1UFAPro & Farm575,000$0$0$NoLink
Fredrik ClaessonBlue Jackets de ColumbusD261992-11-24No200 Lbs6 ft1NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Jake GuentzelBlue Jackets de ColumbusLW/RW251994-10-06No180 Lbs5 ft11NoNoNo1RFAPro & Farm734,167$0$0$NoLink
James ReimerBlue Jackets de ColumbusG311988-03-15No217 Lbs6 ft2NoNoNo3UFAPro & Farm3,400,000$0$0$NoLink
Markus NutivaaraBlue Jackets de ColumbusD251994-06-06No191 Lbs6 ft1NoNoNo4RFAPro & Farm2,700,000$0$0$NoLink
Noel AcciariBlue Jackets de ColumbusC/RW271992-03-31No208 Lbs5 ft10NoNoNo1RFAPro & Farm725,000$0$0$NoLink
Pierre-Luc DuboisBlue Jackets de ColumbusC/LW211998-06-24No207 Lbs6 ft3NoNoNo2ELCPro & Farm894,166$0$0$NoLink
Riley NashBlue Jackets de ColumbusC/RW301989-05-09No190 Lbs6 ft1NoNoNo3UFAPro & Farm2,750,000$0$0$NoLink
Scott HarringtonBlue Jackets de ColumbusD261993-03-10No207 Lbs6 ft2NoNoNo1RFAPro & Farm675,000$0$0$NoLink
Seth JonesBlue Jackets de ColumbusD251994-10-02No210 Lbs6 ft4NoNoNo4RFAPro & Farm5,400,000$0$0$NoLink
Sonny MilanoBlue Jackets de ColumbusLW231996-05-11No195 Lbs6 ft2NoNoNo1RFAPro & Farm863,333$0$0$NoLink
Thomas GreissBlue Jackets de ColumbusG331986-01-29No227 Lbs6 ft1NoNoNo2UFAPro & Farm3,333,333$0$0$NoLink
Travis KonecnyBlue Jackets de ColumbusLW/RW221997-03-11No175 Lbs5 ft10NoNoNo1ELCPro & Farm894,167$0$0$NoLink
Zac DalpeBlue Jackets de ColumbusC301989-10-31No199 Lbs6 ft2NoNoNo1UFAPro & Farm725,000$0$0$NoLink
Zach WerenskiBlue Jackets de ColumbusD221997-07-19No209 Lbs6 ft2NoNoNo1ELCPro & Farm925,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2227.41202 Lbs6 ft12.232,533,826$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
55,744,166$44,677,499$35,125,000$18,875,000$10,775,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris KreiderBrock NelsonTravis Konecny40122
2Brandon DubinskyPierre-Luc DuboisRiley Nash30122
3Sonny MilanoAlexander WennbergNoel Acciari20122
4Chris KreiderZac DalpeBrock Nelson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Seth JonesZach Werenski40122
2David SavardMarkus Nutivaara30122
3Fredrik ClaessonFrancois Beauchemin20122
4Devon ToewsScott Harrington10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris KreiderBrock NelsonTravis Konecny60122
2Brandon DubinskyPierre-Luc DuboisRiley Nash40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Seth JonesZach Werenski60122
2David SavardMarkus Nutivaara40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Chris KreiderBrock Nelson60122
2Pierre-Luc DuboisAlexander Wennberg40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Seth JonesZach Werenski60122
2David SavardMarkus Nutivaara40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Chris Kreider60122Seth JonesZach Werenski60122
2Brock Nelson40122David SavardMarkus Nutivaara40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Chris KreiderBrock Nelson60122
2Pierre-Luc DuboisAlexander Wennberg40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Seth JonesZach Werenski60122
2David SavardMarkus Nutivaara40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Chris KreiderBrock NelsonTravis KonecnySeth JonesZach Werenski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Chris KreiderBrock NelsonTravis KonecnySeth JonesZach Werenski
Extra Forwards
Normal PowerPlayPenalty Kill
Noel Acciari, Zac Dalpe, Sonny MilanoNoel Acciari, Zac DalpeSonny Milano
Extra Defensemen
Normal PowerPlayPenalty Kill
Fredrik Claesson, Francois Beauchemin, Devon ToewsFredrik ClaessonFrancois Beauchemin, Devon Toews
Penalty Shots
Chris Kreider, Brock Nelson, Pierre-Luc Dubois, Alexander Wennberg, Travis Konecny
Goalie
#1 : Thomas Greiss, #2 : James Reimer
Custom OT Lines Forwards
Chris Kreider, Brock Nelson, Pierre-Luc Dubois, Alexander Wennberg, Travis Konecny, Brandon Dubinsky, Brandon Dubinsky, Riley Nash, Noel Acciari, Zac Dalpe, Sonny Milano
Custom OT Lines Defensemen
Seth Jones, Zach Werenski, David Savard, Markus Nutivaara, Fredrik Claesson


Filter Tips
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
OverallHomeVisitor
# VS Team 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
1Avalanche du Colorado1010000023-1000000000001010000023-100.000246000110357161204282917500.00%8275.00%033967650.15%31369445.10%16432949.85%2113258126
2Blackhawks de Chicago10001000541000000000001000100054121.000591400130121695129918263133.33%9277.78%133967650.15%31369445.10%16432949.85%1811288125
3Blues de Saint-Louis211000007701010000034-11100000043120.500711180024105216191705512334011327.27%14378.57%033967650.15%31369445.10%16432949.85%452948152512
4Canadiens de Montréal2020000039-61010000025-31010000014-300.00036900111051161421047152835600.00%13376.92%033967650.15%31369445.10%16432949.85%463148132412
5Coyotes de l'Arizona11000000743000000000001100000074321.000713200025003811198024411207457.14%3166.67%033967650.15%31369445.10%16432949.85%2315228137
6Ducks d'Anaheim1010000023-11010000023-10000000000000.0002240001102481330411222223133.33%11190.91%033967650.15%31369445.10%16432949.85%1810297115
7Flames de Calgary11000000651110000006510000000000021.00061117000420346208022716189222.22%60100.00%033967650.15%31369445.10%16432949.85%2316228136
8Flyers de Philadelphie1010000024-2000000000001010000024-200.00023500020025713502496189222.22%3166.67%033967650.15%31369445.10%16432949.85%2518217125
9Golden Knights de Vegas11000000615110000006150000000000021.0006111700330041161411029321289555.56%40100.00%033967650.15%31369445.10%16432949.85%2417237126
10Hurricanes de la Caroline20100001710-31000000156-11010000024-210.25071421004210541819146501416301317.69%8275.00%033967650.15%31369445.10%16432949.85%473250152614
11Islanders de New York1000010012-11000010012-10000000000010.5001230000102312533361218266116.67%8187.50%033967650.15%31369445.10%16432949.85%2315268136
12Maple Leafs de Toronto210000101064110000006331000001043141.000101626004231551912216471239429333.33%15566.67%033967650.15%31369445.10%16432949.85%443055152511
13Oilers d'Edmonton1010000035-21010000035-20000000000000.00036900120034111112028101425700.00%6350.00%133967650.15%31369445.10%16432949.85%2517217127
14Penguins de Pittsburgh1010000014-3000000000001010000014-300.000123000010201037031111615300.00%8275.00%033967650.15%31369445.10%16432949.85%2012258136
15Sabres de Buffalo11000000422110000004220000000000021.0004711001030246810026814124250.00%6183.33%033967650.15%31369445.10%16432949.85%2416237126
16Stars de Dallas11000000312110000003120000000000021.0003580020103214108023814237114.29%7185.71%033967650.15%31369445.10%16432949.85%2517227116
Total2079011116970-111540010141374925010102833-5200.50069122191002130162563183205165165541543153971112623.42%1292878.29%233967650.15%31369445.10%16432949.85%458306499155256126
_Since Last GM Reset2079011116970-111540010141374925010102833-5200.50069122191002130162563183205165165541543153971112623.42%1292878.29%233967650.15%31369445.10%16432949.85%458306499155256126
_Vs Conference1025001112837-95210010118180504000101019-980.40028507800107101252887481152618113717850918.00%611575.41%033967650.15%31369445.10%16432949.85%2311562537612962
_Vs Division503001011120-92000010168-230300000512-720.200112132004430122474029914146568931412.90%27677.78%033967650.15%31369445.10%16432949.85%11678125396632

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2020L46912219156355415431539700
All Games
GPWLOTWOTL SOWSOLGFGA
207911116970
Home Games
GPWLOTWOTL SOWSOLGFGA
115401014137
Visitor Games
GPWLOTWOTL SOWSOLGFGA
92510102833
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1112623.42%1292878.29%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
183205165162130162
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33967650.15%31369445.10%16432949.85%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
458306499155256126


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
3 - 2019-08-1813Maple Leafs de Toronto3Blue Jackets de Columbus6WBoxScore
4 - 2019-08-1927Blue Jackets de Columbus1Penguins de Pittsburgh4LBoxScore
6 - 2019-08-2134Sabres de Buffalo2Blue Jackets de Columbus4WBoxScore
10 - 2019-08-2560Ducks d'Anaheim3Blue Jackets de Columbus2LBoxScore
11 - 2019-08-2662Blue Jackets de Columbus2Hurricanes de la Caroline4LBoxScore
15 - 2019-08-3093Stars de Dallas1Blue Jackets de Columbus3WBoxScore
17 - 2019-09-01108Blue Jackets de Columbus5Blackhawks de Chicago4WXBoxScore
18 - 2019-09-02114Islanders de New York2Blue Jackets de Columbus1LXBoxScore
20 - 2019-09-04132Blue Jackets de Columbus4Maple Leafs de Toronto3WXXBoxScore
23 - 2019-09-07145Hurricanes de la Caroline6Blue Jackets de Columbus5LXXBoxScore
25 - 2019-09-09167Blue Jackets de Columbus2Flyers de Philadelphie4LBoxScore
29 - 2019-09-13189Oilers d'Edmonton5Blue Jackets de Columbus3LBoxScore
31 - 2019-09-15202Blue Jackets de Columbus4Blues de Saint-Louis3WBoxScore
32 - 2019-09-16208Flames de Calgary5Blue Jackets de Columbus6WBoxScore
35 - 2019-09-19225Golden Knights de Vegas1Blue Jackets de Columbus6WBoxScore
37 - 2019-09-21237Blue Jackets de Columbus7Coyotes de l'Arizona4WBoxScore
39 - 2019-09-23254Blue Jackets de Columbus2Avalanche du Colorado3LBoxScore
42 - 2019-09-26275Blue Jackets de Columbus1Canadiens de Montréal4LBoxScore
45 - 2019-09-29294Blues de Saint-Louis4Blue Jackets de Columbus3LBoxScore
49 - 2019-10-03319Canadiens de Montréal5Blue Jackets de Columbus2LBoxScore
51 - 2019-10-05336Red Wings de Détroit-Blue Jackets de Columbus-
53 - 2019-10-07360Blue Jackets de Columbus-Jets de Winnipeg-
55 - 2019-10-09366Sénateurs d'Ottawa-Blue Jackets de Columbus-
57 - 2019-10-11379Flyers de Philadelphie-Blue Jackets de Columbus-
59 - 2019-10-13395Penguins de Pittsburgh-Blue Jackets de Columbus-
60 - 2019-10-14412Blue Jackets de Columbus-Islanders de New York-
63 - 2019-10-17425Coyotes de l'Arizona-Blue Jackets de Columbus-
65 - 2019-10-19440Rangers de New York-Blue Jackets de Columbus-
67 - 2019-10-21457Blue Jackets de Columbus-Panthers de la Floride-
69 - 2019-10-23471Blue Jackets de Columbus-Capitals de Washington-
72 - 2019-10-26494Blue Jackets de Columbus-Penguins de Pittsburgh-
74 - 2019-10-28510Blue Jackets de Columbus-Sénateurs d'Ottawa-
76 - 2019-10-30519Capitals de Washington-Blue Jackets de Columbus-
77 - 2019-10-31526Blue Jackets de Columbus-Red Wings de Détroit-
79 - 2019-11-02540Kings de Los Angeles-Blue Jackets de Columbus-
81 - 2019-11-04555Devils du New Jersey-Blue Jackets de Columbus-
83 - 2019-11-06574Blue Jackets de Columbus-Islanders de New York-
87 - 2019-11-10592Blue Jackets de Columbus-Capitals de Washington-
89 - 2019-11-12605Blackhawks de Chicago-Blue Jackets de Columbus-
91 - 2019-11-14616Panthers de la Floride-Blue Jackets de Columbus-
93 - 2019-11-16628Blue Jackets de Columbus-Bruins de Boston-
95 - 2019-11-18644Sharks de San José-Blue Jackets de Columbus-
97 - 2019-11-20659Blue Jackets de Columbus-Kings de Los Angeles-
98 - 2019-11-21663Blue Jackets de Columbus-Ducks d'Anaheim-
100 - 2019-11-23685Blue Jackets de Columbus-Sharks de San José-
102 - 2019-11-25701Blue Jackets de Columbus-Golden Knights de Vegas-
105 - 2019-11-28716Bruins de Boston-Blue Jackets de Columbus-
107 - 2019-11-30728Hurricanes de la Caroline-Blue Jackets de Columbus-
109 - 2019-12-02743Devils du New Jersey-Blue Jackets de Columbus-
110 - 2019-12-03757Blue Jackets de Columbus-Rangers de New York-
113 - 2019-12-06766Jets de Winnipeg-Blue Jackets de Columbus-
123 - 2019-12-16793Blue Jackets de Columbus-Sabres de Buffalo-
124 - 2019-12-17807Blue Jackets de Columbus-Canadiens de Montréal-
126 - 2019-12-19815Panthers de la Floride-Blue Jackets de Columbus-
129 - 2019-12-22839Red Wings de Détroit-Blue Jackets de Columbus-
130 - 2019-12-23844Avalanche du Colorado-Blue Jackets de Columbus-
132 - 2019-12-25860Lightning de Tampa Bay-Blue Jackets de Columbus-
135 - 2019-12-28881Blue Jackets de Columbus-Sabres de Buffalo-
136 - 2019-12-29892Rangers de New York-Blue Jackets de Columbus-
138 - 2019-12-31908Blue Jackets de Columbus-Devils du New Jersey-
140 - 2020-01-02923Blue Jackets de Columbus-Flyers de Philadelphie-
142 - 2020-01-04933Flyers de Philadelphie-Blue Jackets de Columbus-
144 - 2020-01-06951Blue Jackets de Columbus-Predators de Nashville-
146 - 2020-01-08967Sénateurs d'Ottawa-Blue Jackets de Columbus-
147 - 2020-01-09973Blue Jackets de Columbus-Wild du Minnesota-
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2020-01-12996Wild du Minnesota-Blue Jackets de Columbus-
152 - 2020-01-141012Canucks de Vancouver-Blue Jackets de Columbus-
155 - 2020-01-171029Blue Jackets de Columbus-Flames de Calgary-
158 - 2020-01-201051Blue Jackets de Columbus-Oilers d'Edmonton-
159 - 2020-01-211065Blue Jackets de Columbus-Canucks de Vancouver-
163 - 2020-01-251084Penguins de Pittsburgh-Blue Jackets de Columbus-
165 - 2020-01-271101Predators de Nashville-Blue Jackets de Columbus-
167 - 2020-01-291119Blue Jackets de Columbus-Bruins de Boston-
170 - 2020-02-011138Capitals de Washington-Blue Jackets de Columbus-
172 - 2020-02-031162Blue Jackets de Columbus-Maple Leafs de Toronto-
174 - 2020-02-051173Blue Jackets de Columbus-Devils du New Jersey-
175 - 2020-02-061180Blue Jackets de Columbus-Rangers de New York-
178 - 2020-02-091202Blue Jackets de Columbus-Lightning de Tampa Bay-
179 - 2020-02-101208Blue Jackets de Columbus-Stars de Dallas-
181 - 2020-02-121225Islanders de New York-Blue Jackets de Columbus-
184 - 2020-02-151243Lightning de Tampa Bay-Blue Jackets de Columbus-
185 - 2020-02-161256Blue Jackets de Columbus-Hurricanes de la Caroline-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60005000200040001000
Ticket Price100603525200
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
30 0 - 0.00% 0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 55,744,166$ 55,744,166$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 136 299,700$ 40,759,200$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
41,958,992$ 0$ 10,000,000$ -31,958,992$



Depth Chart

Left WingCenterRight Wing
Chris KreiderAGE:28PO:80OV:76
Jake GuentzelAGE:25PO:83OV:75
Cam AtkinsonAGE:30PO:83OV:75
Brock NelsonAGE:28PO:79OV:75
Pierre-Luc DuboisAGE:21PO:78OV:74
Travis KonecnyAGE:22PO:76OV:71
Brandon DubinskyAGE:33PO:68OV:69
Sonny MilanoAGE:23PO:67OV:64
Nathan GerbeAGE:32PO:64OV:62
Sven AndrighettoAGE:26PO:63OV:62
Paul BittnerAGE:23PO:63OV:61
Markus HannikainenAGE:26PO:64OV:60
*Eric RobinsonAGE:24PO:60OV:57
Calvin ThurkaufAGE:22PO:52OV:53
Brock NelsonAGE:28PO:79OV:75
Pierre-Luc DuboisAGE:21PO:78OV:74
Alexander WennbergAGE:25PO:68OV:71
Brandon DubinskyAGE:33PO:68OV:69
Riley NashAGE:30PO:65OV:67
Zac DalpeAGE:30PO:70OV:66
Noel AcciariAGE:27PO:68OV:66
Vinni LettieriAGE:24PO:62OV:60
Justin ScottAGE:24PO:60OV:57
Ryan MacInnisAGE:23PO:56OV:56
*Maxime FortierAGE:21PO:54OV:53
Calvin ThurkaufAGE:22PO:52OV:53
Jake GuentzelAGE:25PO:83OV:75
Cam AtkinsonAGE:30PO:83OV:75
Travis KonecnyAGE:22PO:76OV:71
Riley NashAGE:30PO:65OV:67
Noel AcciariAGE:27PO:68OV:66
Nathan GerbeAGE:32PO:64OV:62
Sven AndrighettoAGE:26PO:63OV:62
*Kevin StenlundAGE:23PO:64OV:60
Vinni LettieriAGE:24PO:62OV:60
*Eric RobinsonAGE:24PO:60OV:57
Justin ScottAGE:24PO:60OV:57
*Maxime FortierAGE:21PO:54OV:53

Defense #1Defense #2Goalie
Seth JonesAGE:25PO:72OV:78
Zach WerenskiAGE:22PO:70OV:74
David SavardAGE:29PO:65OV:73
Markus NutivaaraAGE:25PO:62OV:67
Fredrik ClaessonAGE:26PO:61OV:67
Devon ToewsAGE:25PO:62OV:65
Scott HarringtonAGE:26PO:61OV:65
Francois BeaucheminAGE:39PO:54OV:65
Gabriel CarlssonAGE:22PO:54OV:61
Dillon SimpsonAGE:26PO:54OV:60
Doyle SomerbyAGE:25PO:54OV:60
Dean KukanAGE:26PO:58OV:59
Adam ClendeningAGE:27PO:55OV:59
Ryan CollinsAGE:23PO:52OV:58
*Michael PrapavessisAGE:23PO:52OV:55
Thomas GreissAGE:33PO:86OV:81
James ReimerAGE:31PO:64OV:66
Chris NellAGE:25PO:67OV:63
Matiss KivlenieksAGE:23PO:50OV:50

Prospects

Filter Tips
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
Prospect Team NameDraft Year Overall Pick Information Lien

Draft Picks

Year R1R2R3R4R5
2CBJ CBJ CBJ CBJ CBJ
3CBJ CBJ CBJ CBJ CBJ
4CBJ CBJ CBJ CBJ CBJ
5CBJ CBJ CBJ CBJ CBJ
6CBJ CBJ CBJ CBJ CBJ



[2019-11-13 22:33:43] - New Record for Team's Most Penalties Minutes (29) in 1 Game for Blue Jackets de Columbus!
[2019-11-09 00:12:26] - New Record for Team's Most Points (20) in 1 Game for Blue Jackets de Columbus!
[2019-11-09 00:12:26] - New Record for Team's Most Assists (13) in 1 Game for Blue Jackets de Columbus!
[2019-11-09 00:12:26] - New Record for Team's Most Goals (7) in 1 Game for Blue Jackets de Columbus!
[2019-11-06 23:51:52] - New Record for Team's Most Hits (28) in 1 Game for Blue Jackets de Columbus!
[2019-10-25 11:54:39] - New Record for Team's Most Shots (41) in 1 Game for Blue Jackets de Columbus!
[2019-10-19 23:20:14] - New Record for Team's Most Hits (26) in 1 Game for Blue Jackets de Columbus!
[2019-10-16 23:38:09] - New Record for Team's Most Hits (23) in 1 Game for Blue Jackets de Columbus!
[2019-10-16 23:38:09] - New Record for Team's Most Shots (32) in 1 Game for Blue Jackets de Columbus!
[2019-10-13 01:12:40] - TRADE : From Blue Jackets de Columbus to Rangers de New York : Lukas Sedlak (62).
[2019-10-12 23:27:15] - New Record for Team's Most Hits (22) in 1 Game for Blue Jackets de Columbus!
[2019-10-12 23:27:15] - New Record for Team's Most Shots Blocked (12) in 1 Game for Blue Jackets de Columbus!
[2019-10-06 00:19:28] - New Record for Team's Most Shots Blocked (11) in 1 Game for Blue Jackets de Columbus!
[2019-10-05 00:20:31] - New Record for Team's Most Hits (21) in 1 Game for Blue Jackets de Columbus!
[2019-10-05 00:20:31] - New Record for Team's Most Penalties Minutes (25) in 1 Game for Blue Jackets de Columbus!
[2019-10-05 00:20:31] - New Record for Team's Most Shots Blocked (5) in 1 Game for Blue Jackets de Columbus!
[2019-10-05 00:20:31] - New Record for Team's Most Shots (30) in 1 Game for Blue Jackets de Columbus!
[2019-10-05 00:20:31] - New Record for Team's Most Points (17) in 1 Game for Blue Jackets de Columbus!
[2019-10-05 00:20:31] - New Record for Team's Most Assists (11) in 1 Game for Blue Jackets de Columbus!
[2019-10-05 00:20:31] - New Record for Team's Most Goals (6) in 1 Game for Blue Jackets de Columbus!



[2019-11-20 22:39:49] Both Blue Jackets de Columbus and Monsters de Cleveland lines for next game are empty. Current rosters/lines are not erased.
[2019-11-13 22:34:55] Both Blue Jackets de Columbus and Monsters de Cleveland lines for next game are empty. Current rosters/lines are not erased.
[2019-11-13 22:34:54] Paul Bittner from Monsters de Cleveland has scored a Hat Trick!
[2019-11-13 22:34:54] Eric Robinson from Monsters de Cleveland has scored a Hat Trick!
[2019-11-13 22:34:07] Both Blue Jackets de Columbus and Monsters de Cleveland lines for next game are empty. Current rosters/lines are not erased.
[2019-11-13 22:34:05] Auto Lines Function has been run for Blue Jackets de Columbus.
[2019-11-13 22:33:54] Sven Andrighetto from Monsters de Cleveland is back from Sprained Right Finger Injury.
[2019-11-13 22:33:54] Cam Atkinson from Blue Jackets de Columbus is back from Exhaustion.
[2019-11-13 22:33:54] Jake Guentzel from Blue Jackets de Columbus is back from Exhaustion.
[2019-11-13 22:33:46] Both Blue Jackets de Columbus and Monsters de Cleveland lines for next game are empty. Current rosters/lines are not erased.
[2019-11-13 22:33:43] New Record for Team's Most Penalties Minutes (29) in 1 Game for Blue Jackets de Columbus!
[2019-11-13 22:33:43] Cam Atkinson from Blue Jackets de Columbus is injured from Exhaustion.
[2019-11-13 22:33:43] Jake Guentzel from Blue Jackets de Columbus is injured from Exhaustion.
[2019-11-13 22:32:45] Auto Lines Function has been run for Blue Jackets de Columbus.
[2019-11-13 22:32:45] Auto Roster Partial Function has been run for Blue Jackets de Columbus.
[2019-11-09 00:12:49] Dillon Simpson from Monsters de Cleveland is back from Exhaustion.
[2019-11-09 00:12:49] Cam Atkinson from Blue Jackets de Columbus is back from Exhaustion.
[2019-11-09 00:12:49] Jake Guentzel from Blue Jackets de Columbus is back from Exhaustion.
[2019-11-09 00:12:29] Both Blue Jackets de Columbus and Monsters de Cleveland lines for next game are empty. Current rosters/lines are not erased.
[2019-11-09 00:12:26] Dillon Simpson from Monsters de Cleveland is injured from Exhaustion.
[2019-11-09 00:12:26] New Record for Team's Most Points (20) in 1 Game for Blue Jackets de Columbus!
[2019-11-09 00:12:26] New Record for Team's Most Assists (13) in 1 Game for Blue Jackets de Columbus!
[2019-11-09 00:12:26] New Record for Team's Most Goals (7) in 1 Game for Blue Jackets de Columbus!
[2019-11-09 00:12:26] Cam Atkinson from Blue Jackets de Columbus is injured from Exhaustion.
[2019-11-09 00:12:26] Jake Guentzel from Blue Jackets de Columbus is injured from Exhaustion.
[2019-11-06 23:51:54] Adam Clendening from Monsters de Cleveland is back from Strained Left Elbow Injury.
[2019-11-06 23:51:54] Both Blue Jackets de Columbus and Monsters de Cleveland lines for next game are empty. Current rosters/lines are not erased.
[2019-11-06 23:51:52] Game 225 - Adam Clendening from Monsters de Cleveland is injured (Strained Left Elbow) and is out for 3 days.
[2019-11-06 23:51:52] New Record for Team's Most Hits (28) in 1 Game for Blue Jackets de Columbus!



No Injury or Suspension.


OverallHomeVisitor
Year 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
12079011116970-111540010141374925010102833-52069122191002130162563183205165165541543153971112623.42%1292878.29%233967650.15%31369445.10%16432949.85%458306499155256126
Total Regular Season2079011116970-111540010141374925010102833-52069122191002130162563183205165165541543153971112623.42%1292878.29%233967650.15%31369445.10%16432949.85%458306499155256126