Login

Comets
GP: 80 | W: 40 | L: 29 | OTL: 11 | P: 91
GF: 326 | GA: 312 | PP%: 18.36% | PK%: 78.22%
GM : Patrick Tremblay | Morale : 39 | Team Overall : 63
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Barracuda
40-37-3, 83pts
5
FINAL
3 Comets
40-29-11, 91pts
Team Stats
W3StreakW1
20-18-2Home Record20-12-8
20-19-1Away Record20-17-3
6-4-0Last 10 Games3-5-2
4.31Goals Per Game4.08
4.35Goals Against Per Game3.90
22.94%Power Play Percentage18.36%
74.53%Penalty Kill Percentage78.22%
Comets
40-29-11, 91pts
4
FINAL
3 Phantoms
43-33-4, 90pts
Team Stats
W1StreakL2
20-12-8Home Record19-19-2
20-17-3Away Record24-14-2
3-5-2Last 10 Games6-4-0
4.08Goals Per Game4.30
3.90Goals Against Per Game4.05
18.36%Power Play Percentage19.38%
78.22%Penalty Kill Percentage81.21%
Team Leaders
Goals
Dennis Everberg
46
Assists
Dennis Everberg
63
Points
Dennis Everberg
109
Plus/Minus
Taylor Beck
21
Wins
Alexandar Georgiev
32
Save Percentage
Alexandar Georgiev
0.894

Team Stats
Goals For
326
4.08 GFG
Shots For
2633
32.91 Avg
Power Play Percentage
18.4%
56 GF
Offensive Zone Start
37.7%
Goals Against
312
3.90 GAA
Shots Against
2589
32.36 Avg
Penalty Kill Percentage
78.2%
71 GA
Defensive Zone Start
36.0%
Team Info

General ManagerPatrick Tremblay
CoachLanne MacDonald
DivisionGunther-Sabetzki
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,787
Season Tickets300


Roster Info

Pro Team30
Farm Team19
Contract Limit49 / 250
Prospects0


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 SPAgeContractSalary
1Dennis Everberg (R)X100.007135827778707275657673717355514059710242999,000$
2Taylor Beck (R)X100.007525797382777175787278636959503945710251999,000$
3Nathan GerbeX100.006937767374806874717568607566612421700291975,000$
4Andrej Nestrasil (R)X100.007133777466726869768068536657553559680251800,000$
5Joshua Leivo (R)X100.006626807275737472716775596849454459680231975,000$
6Phil Di Giuseppe (R)X100.006432707668727375675773506447474357650231400,000$
7Juho Lammikko (R)X100.007235667170597071586465585642435351630201550,000$
8Mackenzie MacEachern (R)X100.005830696859676076686269537544444029630222400,000$
9Kurtis Macdermid (R)X100.008060695575617561446748655247505541620222500,000$
10Axel Holmstrom (R)X100.005741706266576462656567566643435054610201400,000$
11Anton Karlsson (R)X100.005923657359604869566256626643435630600201400,000$
12Anton Zlobin (R)X100.005923666559595763536468425746473435590231400,000$
13William Lockwood (R)X100.005226656951584969655759507240406743580182500,000$
14Taylor Leier (R)X100.004827765460605464515567496344444026570221400,000$
15Rasmus Asplund (R)X100.005525636447614569535962467541415825570192500,000$
16Thomas DiPauli (R)X100.005329796761745549525753535344444126560221400,000$
17Patrick WeyX100.007742837373787471647368766770473718730251750,000$
18Juuso Riikola (R)X100.006751727276656866537563666356514054680231500,000$
19Oliver Kylington (R)X100.006029757955606671357856674944425859650191500,000$
20Dan Renouf (R)X100.006247786566695965497558646348485129650222500,000$
21Sami Niku (R)X100.005137637553587370316961543444435643610201500,000$
22William Lagesson (R)X100.005427737455536069266850624942425836600204700,000$
Scratches
1Nicolas Petan (R)X100.006436796668726671817666546045445624660211525,000$
2Tyler Graovac (R)X99.065733606650586067676363595745453423600231400,000$
3Dmitry Sokolov (R)X100.003820635052454949384758356040406420470182500,000$
4Jordan Gross (R)X100.006628625959616462356464574444484028600211400,000$
5Jeremy Roy (R)X100.005137545854495554325844474041425320510191400,000$
TEAM AVERAGE99.97613371686364636756666357614846473862
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 SPAgeContractSalary
1Alexandar Georgiev98.00588964787670768085775849456957740201500,000$
2Thatcher Demko100.00716576535978786457816947435958660201800,000$
Scratches
1Marek Langhamer100.00635160657154566057517244444518590221400,000$
TEAM AVERAGE99.3364686765696770686670664744584466
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Lanne MacDonald75586370346237USA702325,000$


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
1Dennis EverbergComets (Van)RW804663109192601421013048518915.13%50173821.731413273624804452056650.22%2316830121.25390001036
2Taylor BeckComets (Van)LW774263105214001481262829015114.89%56180123.3911203147257325132612050.88%3975243001.1719000695
3Andrej NestrasilComets (Van)C80344478-54001331212276513814.98%24143317.9287152822341561165051.34%11554421111.0900000532
4Joshua LeivoComets (Van)RW8022325411240109881735611112.72%26117214.6524671630000104048.98%492918000.9211000152
5Teemu PulkkinenCanucksLW58232346210090641664710413.86%1187315.052689980004673066.67%272913001.0513000212
6Nathan GerbeComets (Van)C3418254383405465100315718.00%2962818.4856117851014391045.94%8121413011.3713000322
7Nicolas PetanComets (Van)C72152338151805268100296615.00%1276610.650222500005320052.76%398179000.9900000300
8Phil Di GiuseppeComets (Van)LW801716331634073451545112011.04%1380610.092025530000142058.62%29406000.8201000124
9Juho LammikkoComets (Van)RW8116153142609143137416611.68%177579.36000080001112142.31%261513000.8200000130
10Juuso RiikolaComets (Van)D7432326498201121008547393.53%97170423.0305562060002201000.00%02245000.3100202100
11Oliver KylingtonComets (Van)D804212521260541017324315.48%78134116.7612371110111138200.00%01250000.3700000000
12Patrick WeyComets (Van)D3231922214053676527174.62%5685726.78145101100111107110.00%02331000.5100000001
13Axel HolmstromComets (Van)C7988162120525457203614.04%156518.24000020000160145.00%280108000.4900000011
14Sami NikuComets (Van)D59011111450048394719130.00%4495216.14022281000173000.00%01222000.2301000000
15Mackenzie MacEachernComets (Van)LW46369-106024235320305.66%133387.350000100000000.00%4138000.5300000000
16William LagessonComets (Van)D701891918023402719133.70%4077411.07101214000036000.00%0321000.2300000100
17Kurtis MacdermidComets (Van)LW74088552106345209130.00%3174410.060001580000660025.00%4123000.2200101000
18Tyler GraovacComets (Van)C5534706027292892010.71%42644.8200003000000161.84%7642000.5300000000
19William LockwoodComets (Van)RW60426140381431328.57%31342.23000000000170055.56%911000.9000000000
20Anton ZlobinComets (Van)RW39235-78024102613237.69%22827.2500004000000171.43%751000.3500000100
21Jordan GrossComets (Van)D5414551803132167136.25%114508.3400004000030100.00%0312000.2200000001
22Dan RenoufComets (Van)D29134-2602326171245.88%2247616.44101249011246000.00%0315000.1700000001
23Anton KarlssonComets (Van)LW47000-400444120.00%1921.97000050002490055.56%910000.0000000000
24Taylor LeierComets (Van)LW36000100010000.00%0100.290000000008000.00%100000.0000000000
25Thomas DiPauliComets (Van)C28000000000000.00%000.030000000000000.00%000000.0000000000
26Rasmus AsplundComets (Van)C37000-360225120.00%0471.2800000000000033.33%612000.0000000000
Team Total or Average154126642469013957630143513022180726127112.20%6551910112.404871119171184281018471555291149.86%3520422407240.72727303352927
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
1Alexandar GeorgievComets (Van)603215110.8943.333496001941832931410.563325610014
2Thatcher DemkoComets (Van)2581200.8584.7512260097683346100.00002357010
3Marek LanghamerComets (Van)40200.8086.5612800147341000.0000113000
Team Total or Average894029110.8823.7748520030525881318510.563328080024


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 Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alexandar GeorgievComets (Van)G201996-01-01No178 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Andrej NestrasilComets (Van)C251991-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$No
Anton KarlssonComets (Van)LW201996-01-01Yes194 Lbs5 ft11NoNoNo1Pro & Farm400,000$0$0$No
Anton ZlobinComets (Van)RW231993-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm400,000$0$0$No
Axel HolmstromComets (Van)C201996-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm400,000$0$0$No
Dan RenoufComets (Van)D221994-01-01Yes198 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dennis EverbergComets (Van)RW241992-01-01Yes205 Lbs6 ft4NoNoNo2Pro & Farm999,000$0$0$No999,000$
Dmitry SokolovComets (Van)LW181998-01-01Yes209 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jeremy RoyComets (Van)D191997-01-01Yes187 Lbs6 ft0NoNoNo1Farm Only400,000$0$0$No
Jordan GrossComets (Van)D211995-01-01Yes190 Lbs5 ft10NoNoNo1Pro & Farm400,000$0$0$No
Joshua LeivoComets (Van)RW231993-01-01Yes204 Lbs6 ft1NoNoNo1Pro & Farm975,000$0$0$No
Juho LammikkoComets (Van)RW201996-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm550,000$0$0$No
Juuso RiikolaComets (Van)D231993-01-01Yes189 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Kurtis MacdermidComets (Van)LW221994-01-01Yes233 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Mackenzie MacEachernComets (Van)LW221994-01-01Yes180 Lbs6 ft2NoNoNo2Pro & Farm400,000$0$0$No400,000$
Marek LanghamerComets (Van)G221994-01-01No181 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Nathan GerbeComets (Van)C291987-01-01No173 Lbs5 ft6NoNoNo1Pro & Farm975,000$0$0$No
Nicolas PetanComets (Van)C211995-01-01Yes185 Lbs5 ft9NoNoNo1Pro & Farm525,000$0$0$No
Oliver KylingtonComets (Van)D191997-01-01Yes183 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Patrick WeyComets (Van)D251991-01-01No200 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
Phil Di GiuseppeComets (Van)LW231993-01-01Yes197 Lbs5 ft11NoNoNo1Pro & Farm400,000$0$0$No
Rasmus AsplundComets (Van)C191997-01-01Yes190 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Sami NikuComets (Van)D201996-01-01Yes176 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Taylor BeckComets (Van)LW251991-01-01Yes203 Lbs6 ft2NoNoNo1Pro & Farm999,000$0$0$No
Taylor LeierComets (Van)LW221994-01-01Yes174 Lbs5 ft10NoNoNo1Farm Only400,000$0$0$No
Thatcher DemkoComets (Van)G201996-01-01No192 Lbs6 ft4NoNoNo1Pro & Farm800,000$0$0$No
Thomas DiPauliComets (Van)C221994-01-01Yes188 Lbs5 ft11NoNoNo1Farm Only400,000$0$0$No
Tyler GraovacComets (Van)C231993-01-01Yes212 Lbs6 ft5NoNoNo1Farm Only400,000$0$0$No
William LagessonComets (Van)D201996-01-01Yes207 Lbs6 ft2NoNoNo4Pro & Farm700,000$0$0$No700,000$700,000$700,000$
William LockwoodComets (Van)RW181998-01-01Yes172 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3021.67192 Lbs6 ft11.33565,767$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Taylor BeckNathan GerbeDennis Everberg55122
2Phil Di GiuseppeAndrej NestrasilJoshua Leivo30122
3Mackenzie MacEachernAxel HolmstromJuho Lammikko10122
4Kurtis MacdermidRasmus AsplundAnton Zlobin5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Patrick WeyOliver Kylington55122
2Juuso RiikolaSami Niku30122
3William LagessonRasmus Asplund10122
4Patrick WeyJuuso Riikola5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Taylor BeckNathan GerbeDennis Everberg60122
2Phil Di GiuseppeAndrej NestrasilJoshua Leivo40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Patrick WeyOliver Kylington60122
2Juuso RiikolaSami Niku40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Taylor BeckDennis Everberg60122
2Nathan GerbeAndrej Nestrasil40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Patrick WeyJuuso Riikola60122
2Oliver KylingtonSami Niku40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Taylor Beck60122Patrick WeyJuuso Riikola60122
2Dennis Everberg40122Oliver KylingtonSami Niku40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Taylor BeckDennis Everberg60122
2Nathan GerbeAndrej Nestrasil40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Patrick WeyJuuso Riikola60122
2Oliver KylingtonSami Niku40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Taylor BeckNathan GerbeDennis EverbergPatrick WeyJuuso Riikola
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Taylor BeckNathan GerbeDennis EverbergPatrick WeyJuuso Riikola
Extra Forwards
Normal PowerPlayPenalty Kill
Anton Karlsson, William Lockwood, Taylor LeierAnton Karlsson, William LockwoodTaylor Leier
Extra Defensemen
Normal PowerPlayPenalty Kill
William Lagesson, Dan Renouf, Oliver KylingtonWilliam LagessonDan Renouf, Oliver Kylington
Penalty Shots
Taylor Beck, Dennis Everberg, Nathan Gerbe, Andrej Nestrasil, Joshua Leivo
Goalie
#1 : Alexandar Georgiev, #2 : Thatcher Demko


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
1Admirals311010001815311000000103720101000812-440.667183149009911410515109818912888491062918677114.29%9277.78%0951186351.05%924177851.97%649129949.96%173296816727531453727
2Barracuda2020000048-41010000035-21010000013-200.00047110099114105156081891288849602314426233.33%7185.71%0951186351.05%924177851.97%649129949.96%173296816727531453727
3Bears31200000914-52110000068-21010000036-320.3339152400991141051511581891288849112443872400.00%19478.95%1951186351.05%924177851.97%649129949.96%173296816727531453727
4Condors2200000013310110000005141100000082641.0001321340099114105155981891288849722010469222.22%5180.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
5Crunch31100001990210000017611010000023-130.5009162500991141051596818912888499933355911218.18%15286.67%0951186351.05%924177851.97%649129949.96%173296816727531453727
6Devils43100000211651010000045-1330000001711660.75021345500991141051512581891288849138524286300.00%21290.48%0951186351.05%924177851.97%649129949.96%173296816727531453727
7Eagles321000001183211000006601100000052340.6671119300099114105159581891288849712822676116.67%110100.00%1951186351.05%924177851.97%649129949.96%173296816727531453727
8Griffins20200000813-51010000056-11010000037-400.00081321009911410515808189128884974222431500.00%12650.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
9Heat20200000212-101010000007-71010000025-300.000246009911410515438189128884972241037800.00%5340.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
10Icehogs201000106601010000045-11000001021120.5006915009911410515628189128884961191445800.00%7185.71%0951186351.05%924177851.97%649129949.96%173296816727531453727
11Little Stars6310010129209310001011712532100000128480.66729417000991141051517781891288849183497615026830.77%39782.05%3951186351.05%924177851.97%649129949.96%173296816727531453727
12Marlies2110000068-2110000005231010000016-520.500610160099114105157081891288849652414344125.00%8275.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
13Monsters22000000743110000004221100000032141.000712190099114105158181891288849812243412325.00%20100.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
14Moose20000110101001000010045-11000001065130.750101626009911410515738189128884963261844500.00%9366.67%0951186351.05%924177851.97%649129949.96%173296816727531453727
15Penguins32100000177101010000034-1220000001431140.667172946009911410515104818912888499122328817741.18%11190.91%0951186351.05%924177851.97%649129949.96%173296816727531453727
16Phantoms522001001720-331100100912-32110000088050.50017274400991141051518081891288849156552611825312.00%13653.85%1951186351.05%924177851.97%649129949.96%173296816727531453727
17Punishers732010013031-14210100014122311000011619-390.64330437300991141051523281891288849209777116336719.44%28678.57%0951186351.05%924177851.97%649129949.96%173296816727531453727
18Rampage6120111027252310001101914530201000811-370.58327447100991141051518581891288849201565813736822.22%29968.97%0951186351.05%924177851.97%649129949.96%173296816727531453727
19Reign210000011174110000007251000000145-130.750111425009911410515668189128884968288468112.50%4175.00%1951186351.05%924177851.97%649129949.96%173296816727531453727
20Rocket421000012218411000000642311000011614250.6252234560099114105151418189128884911248368913215.38%18383.33%2951186351.05%924177851.97%649129949.96%173296816727531453727
21Senators30201000711-42010100067-11010000014-320.3337132000991141051510181891288849943322608112.50%11281.82%0951186351.05%924177851.97%649129949.96%173296816727531453727
22Sound Tigers32001000151052100100010731100000053261.000152540009911410515988189128884910430205713323.08%10370.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
23Thunderbirds3120000078-11010000023-12110000055020.3337111810991141051579818912888491092520791317.69%10190.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
24Wolfpack311000011318-52100000198110100000410-630.5001322350099114105159781891288849912634661119.09%12375.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
25Wolves31100100711-41000010023-12110000058-330.50071219009911410515105818912888499734245811218.18%11281.82%0951186351.05%924177851.97%649129949.96%173296816727531453727
Total8032290553632631214401612035131671491840161702023159163-4910.569326522848109911410515263381891288849258984969017753055618.36%3267178.22%9951186351.05%924177851.97%649129949.96%173296816727531453727
_Since Last GM Reset8032290553632631214401612035131671491840161702023159163-4910.569326522848109911410515263381891288849258984969017753055618.36%3267178.22%9951186351.05%924177851.97%649129949.96%173296816727531453727
_Vs Conference4721150331419517718249602313998811231290100196897570.606195311506109911410515150881891288849150547647210821874021.39%2164081.48%5951186351.05%924177851.97%649129949.96%173296816727531453727
_Vs Division197502212867610104101211503812934010013638-2240.6328612821400991141051559481891288849593182205450982323.47%962277.08%3951186351.05%924177851.97%649129949.96%173296816727531453727

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8091W132652284826332589849690177510
All Games
GPWLOTWOTL SOWSOLGFGA
8032295536326312
Home Games
GPWLOTWOTL SOWSOLGFGA
4016123513167149
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4016172023159163
Last 10 Games
WLOTWOTL SOWSOL
350101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3055618.36%3267178.22%9
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
818912888499911410515
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
951186351.05%924177851.97%649129949.96%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
173296816727531453727


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 - 2021-12-0211Punishers2Comets3BWR1BoxScore
8 - 2021-12-0730Rampage2Comets7BWBoxScore
10 - 2021-12-0947Comets3Rampage5ALR1BoxScore
11 - 2021-12-1053Comets8Devils5AWBoxScore
13 - 2021-12-1260Comets1Little Stars5ALBoxScore
15 - 2021-12-1471Comets4Rocket5ALXXBoxScore
16 - 2021-12-1577Punishers4Comets5BWXR1BoxScore
18 - 2021-12-1785Comets3Punishers8ALBoxScore
21 - 2021-12-20101Little Stars4Comets3BLXXBoxScore
26 - 2021-12-25123Phantoms6Comets2BLBoxScore
28 - 2021-12-27138Comets4Devils3AWBoxScore
30 - 2021-12-29149Wolfpack2Comets1BLXXBoxScore
32 - 2021-12-31163Comets4Little Stars2AWBoxScore
34 - 2022-01-02171Senators4Comets2BLBoxScore
36 - 2022-01-04179Comets1Rampage3ALR1BoxScore
38 - 2022-01-06196Crunch5Comets4BLXXBoxScore
40 - 2022-01-08210Comets1Barracuda3ALBoxScore
43 - 2022-01-11222Comets5Devils3AWBoxScore
44 - 2022-01-12231Reign2Comets7BWBoxScore
47 - 2022-01-15251Condors1Comets5BWBoxScore
52 - 2022-01-20274Sound Tigers4Comets6BWBoxScore
55 - 2022-01-23289Thunderbirds3Comets2BLBoxScore
60 - 2022-01-28314Comets8Condors2AWBoxScore
61 - 2022-01-29321Rampage6Comets5BLXR1BoxScore
64 - 2022-02-01340Wolves3Comets2BLXBoxScore
68 - 2022-02-05356Comets4Thunderbirds2AWBoxScore
69 - 2022-02-06368Senators3Comets4BWXBoxScore
72 - 2022-02-09382Comets7Little Stars1AWBoxScore
74 - 2022-02-11393Sound Tigers3Comets4BWXBoxScore
76 - 2022-02-13406Comets5Sound Tigers3AWBoxScore
79 - 2022-02-16418Griffins6Comets5BLBoxScore
84 - 2022-02-21443Rampage6Comets7BWXXR1BoxScore
86 - 2022-02-23450Comets3Griffins7ALBoxScore
88 - 2022-02-25463Comets1Marlies6ALBoxScore
90 - 2022-02-27472Eagles3Comets5BWBoxScore
92 - 2022-03-01484Comets4Reign5ALXXBoxScore
94 - 2022-03-03497Devils5Comets4BLBoxScore
100 - 2022-03-09524Admirals3Comets10BWBoxScore
103 - 2022-03-12537Comets1Thunderbirds3ALBoxScore
105 - 2022-03-14550Heat7Comets0BLBoxScore
110 - 2022-03-19570Comets6Moose5AWXXBoxScore
111 - 2022-03-20577Punishers4Comets3BLR1BoxScore
116 - 2022-03-25600Icehogs5Comets4BLBoxScore
118 - 2022-03-27609Comets9Punishers6AWR1BoxScore
120 - 2022-03-29622Comets4Rampage3AWXBoxScore
121 - 2022-03-30626Bears5Comets2BLBoxScore
124 - 2022-04-02641Comets0Wolves5ALBoxScore
126 - 2022-04-04649Comets8Penguins2AWBoxScore
127 - 2022-04-05656Crunch1Comets3BWBoxScore
130 - 2022-04-08678Eagles3Comets1BLBoxScore
132 - 2022-04-10690Comets5Wolves3AWBoxScore
134 - 2022-04-12704Monsters2Comets4BWBoxScore
136 - 2022-04-14710Comets2Icehogs1AWXXBoxScore
138 - 2022-04-16725Comets1Senators4ALBoxScore
140 - 2022-04-18732Comets3Monsters2AWBoxScore
141 - 2022-04-19739Wolfpack6Comets8BWBoxScore
144 - 2022-04-22757Comets3Admirals8ALBoxScore
145 - 2022-04-23763Bears3Comets4BWBoxScore
147 - 2022-04-25776Comets6Penguins1AWBoxScore
149 - 2022-04-27787Penguins4Comets3BLBoxScore
152 - 2022-04-30799Comets2Heat5ALBoxScore
154 - 2022-05-02811Comets5Admirals4AWXBoxScore
155 - 2022-05-03818Moose5Comets4BLXBoxScore
158 - 2022-05-06835Comets5Eagles2AWBoxScore
159 - 2022-05-07843Phantoms2Comets4BWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
163 - 2022-05-11863Comets2Crunch3ALBoxScore
164 - 2022-05-12870Phantoms4Comets3BLXBoxScore
168 - 2022-05-16890Rocket4Comets6BWBoxScore
172 - 2022-05-20911Punishers2Comets3BWR1BoxScore
174 - 2022-05-22917Comets8Rocket3AWBoxScore
176 - 2022-05-24925Comets3Bears6ALBoxScore
177 - 2022-05-25931Comets4Wolfpack10ALBoxScore
179 - 2022-05-27945Little Stars2Comets9BWBoxScore
182 - 2022-05-30956Comets4Phantoms5ALBoxScore
183 - 2022-05-31964Comets4Rocket6ALBoxScore
186 - 2022-06-03979Little Stars6Comets5BLXBoxScore
187 - 2022-06-04985Comets4Punishers5ALXXR1BoxScore
191 - 2022-06-081001Marlies2Comets5BWBoxScore
197 - 2022-06-141025Barracuda5Comets3BLBoxScore
198 - 2022-06-151032Comets4Phantoms3AWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance74,73036,749
Attendance PCT93.41%91.87%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2787 - 92.90% 83,128$3,325,125$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,771,007$ 2,732,300$ 2,065,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
13,662$ 2,440,704$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 15,286$ 0$




Comets Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Comets Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Comets Career Team Stats

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

Comets Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Comets Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA