Comets

GP: 82 | W: 52 | L: 20 | OTL: 10 | P: 114
GF: 231 | GA: 180 | PP%: 17.38% | PK%: 86.65%
GM : Francis Lagace | Morale : 50 | Team Overall : 63

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
1Tage ThompsonXX100.007245886695726964576163656765628050640
2Andrew AgozzinoX100.005745866368767861666262596377694650620
3Austin WagnerX100.008749816374728361536064566365665850620
4Steven FogartyX100.006548886385747562706159646273655650620
5Matt BeleskeyX100.006249856176788062555959636180725350620
6Garrett PilonX100.005843826072889059685857615963626450610
7Nolan StevensX100.006245886180858360675956626167645750610
8Kevin Lynch (R)X100.006349865875858757665655595477695650600
9Nicholas ShoreX100.006840845877658257745356695875685350600
10Justin ScottX100.006455805978848557635556585769655750600
11Dalton SmithX100.006452785982777558515756605975686450600
12Joey AndersonX100.005939816270747361576059636163626650600
13Chase PearsonX100.006243885778818255505356585765635650590
14Martin Pospisil (R)X100.006254715875777457525654595861636250580
15Alexander PetrovicX100.007846876390837661305956625375686350650
16Cale FleuryX100.007243886378837762306158645362616450640
17Dennis CholowskiX100.006343886580847863306660615263628250640
18Yannick WeberX100.007139856472737862306356615280734150640
19Erik BrannstromX100.005643846866837766306358615261638450620
20Mark FriedmanX100.005845876069817958305957615069645850610
21Otto LeskinenX100.006046856169767259306056574565635250600
Scratches
1Tyler RandellX100.006351745677767354505255575677695650580
TEAM AVERAGE100.00654684617779786050595861576966605061
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
1Kasimir Kaskisuo100.00756563847473757473757473775850720
2Hunter Miska100.00776462727675777675777669736050710
Scratches
1Jared Coreau100.00688684926766686766686777835650710
TEAM AVERAGE100.0073727083727173727173727378585071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Luke Richardson69676665777173CAN5142,500,000$


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
1Steven FogartyComets (Van)C822837651254101301892777018810.11%24188322.96815237934900053546061.42%179900000.69211010566
2Nolan StevensComets (Van)C8230295923360881582136712114.08%16163619.954172146302000520510457.84%158200000.72210000857
3Dennis CholowskiComets (Van)D76184058184207254138428313.04%63166021.85131831993071012318510.00%000000.7000000664
4Matt BeleskeyComets (Van)LW7623345720561088147242531699.50%20182424.00713206632600023624254.21%84300010.62011011762
5Dalton SmithComets (Van)LW76202949287115101751624813112.35%9141318.6061117462990001493356.79%8100000.6924012483
6Cale FleuryComets (Van)D76123648189551175912245939.84%59160521.1391524843040112295240.00%000100.6000000116
7Yannick WeberComets (Van)D7613354826560975713239939.85%69160421.1191524953230004313200.00%000100.6000000234
8Nicholas ShoreComets (Van)C76192443278209273126319515.08%7135617.85781543284000004262.28%11400000.6301000113
9Alexander PetrovicComets (Van)D76538432811201557112245614.10%90181123.834812773270111289210.00%000000.4701000134
10Justin ScottComets (Van)C82161632141012513352130407812.31%12139517.02491342319000002158.00%20000000.4601212224
11Garrett PilonComets (Van)C82121527629578118207571305.80%24143217.47112104210172143057.89%113500000.3836100223
12Mark FriedmanComets (Van)D8231720450090472652011.54%61118014.40000040110126000.00%000000.3400000001
13Martin PospisilComets (Van)LW7681119-18820877411544796.96%11118215.5600011200031251149.09%16500000.3202202101
14Erik BrannstromComets (Van)D7001818-162087563214320.00%4397513.94000520000010000.00%000000.3700000002
15Kevin LynchComets (Van)C7696151355484674256912.16%5102013.43000022000000059.09%6600000.2911001001
16Kenny AgostinoVancouver CanucksLW22941310335422842113121.43%233015.02000000112591062.50%1600000.7900100110
17Otto LeskinenComets (Van)D761121361601216104710.00%114075.36000214000153100.00%000000.6400000011
18Chase PearsonComets (Van)C82224100591231016.67%21822.230115410000582050.65%7700000.4411000010
Team Total or Average13442284036312401018100152213292182643149010.45%5282290517.04721312037003302246352839481958.18%607800210.551149648414652
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
1Kasimir KaskisuoComets (Van)613713100.9161.96365021211914120200.7334560761024
Team Total or Average613713100.9161.96365021211914120200.7334560761024


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 PetrovicD281992-03-03No216 Lbs6 ft4NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Andrew AgozzinoLW301991-01-03No187 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Austin WagnerLW231997-06-23No185 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cale FleuryD221998-11-19No205 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Chase PearsonC231997-08-23No189 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dalton SmithLW281992-06-30No206 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Dennis CholowskiD221998-02-15No197 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Erik BrannstromD211999-09-02No181 Lbs5 ft9NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Garrett PilonC221998-04-13No188 Lbs6 ft0NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Hunter MiskaG251995-07-07No175 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jared CoreauG291991-11-05No214 Lbs6 ft5NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Joey AndersonRW221998-06-19No190 Lbs5 ft11NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Justin ScottC251995-08-13No202 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Kasimir KaskisuoG271993-10-02No203 Lbs6 ft3NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Kevin LynchC291991-04-23Yes190 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoNHL Link
Mark FriedmanD251995-12-25No185 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Martin PospisilLW211999-11-19Yes173 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Matt BeleskeyLW321988-06-07No207 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nicholas ShoreC281992-09-26No198 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nolan StevensC241996-07-22No183 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Otto LeskinenD231997-02-06No183 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Steven FogartyC271993-04-19No208 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tage ThompsonLW/RW231997-10-30No215 Lbs6 ft6NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyler RandellRW291991-06-15No198 Lbs6 ft1NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Yannick WeberD321988-09-23No200 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.60195 Lbs6 ft12.32454,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt BeleskeySteven FogartyJustin Scott40122
2Dalton SmithNolan StevensNicholas Shore30122
3Martin PospisilGarrett PilonKevin Lynch20122
4Matt BeleskeyJustin ScottSteven Fogarty10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander PetrovicYannick Weber40122
2Dennis CholowskiCale Fleury30122
3Erik BrannstromMark Friedman20122
4Otto LeskinenAlexander Petrovic10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt BeleskeySteven FogartyJustin Scott60122
2Dalton SmithNolan StevensNicholas Shore40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander PetrovicYannick Weber60122
2Dennis CholowskiCale Fleury40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matt BeleskeySteven Fogarty60122
2Nolan StevensGarrett Pilon40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander PetrovicYannick Weber60122
2Dennis CholowskiCale Fleury40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matt Beleskey60122Alexander PetrovicYannick Weber60122
2Steven Fogarty40122Dennis CholowskiCale Fleury40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matt BeleskeySteven Fogarty60122
2Nolan StevensGarrett Pilon40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander PetrovicYannick Weber60122
2Dennis CholowskiCale Fleury40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matt BeleskeySteven FogartyJustin ScottAlexander PetrovicYannick Weber
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matt BeleskeySteven FogartyJustin ScottAlexander PetrovicYannick Weber
Extra Forwards
Normal PowerPlayPenalty Kill
Chase Pearson, Kevin Lynch, Martin PospisilChase Pearson, Kevin LynchMartin Pospisil
Extra Defensemen
Normal PowerPlayPenalty Kill
Erik Brannstrom, Mark Friedman, Otto LeskinenErik BrannstromMark Friedman, Otto Leskinen
Penalty Shots
Matt Beleskey, Steven Fogarty, Nolan Stevens, Garrett Pilon, Dalton Smith
Goalie
#1 : , #2 : Kasimir Kaskisuo


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82114SOL22314226532244193056910011529115
All Games
GPWLOTWOTL SOWSOLGFGA
8245202456231180
Home Games
GPWLOTWOTL SOWSOLGFGA
41239132311590
Visitor Games
GPWLOTWOTL SOWSOLGFGA
412211113311690
Last 10 Games
WLOTWOTL SOWSOL
410113
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4207317.38%4275786.65%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7477187616772827013
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1547256660.29%1334240155.56%673113459.35%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
219515671804571985519


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
1 - 2020-10-1812Americans7Comets0LBoxScore
4 - 2020-10-2131IceHogs3Comets7WBoxScore
6 - 2020-10-2355Comets2Penguins4LBoxScore
7 - 2020-10-2467Admirals4Comets2LBoxScore
9 - 2020-10-2685Comets5Condors3WBoxScore
10 - 2020-10-2797Griffins9Comets1LBoxScore
12 - 2020-10-29105Comets5Moose2WBoxScore
14 - 2020-10-31124Comets2Marlies1WXXBoxScore
15 - 2020-11-01138Comets3Heat1WBoxScore
16 - 2020-11-02149Eagles1Comets3WBoxScore
19 - 2020-11-05162Crunch1Comets4WBoxScore
21 - 2020-11-07175Comets2Phantoms0WBoxScore
24 - 2020-11-10198Rampage2Comets3WBoxScore
26 - 2020-11-12206Comets6Thunderbirds1WBoxScore
28 - 2020-11-14221Comets2Wolves5LBoxScore
29 - 2020-11-15235Comets2Checkers1WBoxScore
31 - 2020-11-17242Phantoms0Comets1WBoxScore
33 - 2020-11-19260Comets5IceHogs2WBoxScore
34 - 2020-11-20272Gulls1Comets5WBoxScore
36 - 2020-11-22291Comets0Admirals4LBoxScore
39 - 2020-11-25306Monsters0Comets1WBoxScore
40 - 2020-11-26325Wolf Pack1Comets0LBoxScore
43 - 2020-11-29335Comets3Marlies2WBoxScore
45 - 2020-12-01354Comets2Roadrunners1WBoxScore
46 - 2020-12-02364Americans3Comets0LBoxScore
50 - 2020-12-06386Barracuda2Comets4WBoxScore
53 - 2020-12-09410Comets0Wolves4LBoxScore
55 - 2020-12-11422Rocket3Comets4WXXBoxScore
57 - 2020-12-13444Comets1Senators3LBoxScore
58 - 2020-12-14450Bruins2Comets3WBoxScore
59 - 2020-12-15464Comets1Rocket2LXXBoxScore
62 - 2020-12-18482IceHogs4Comets5WBoxScore
63 - 2020-12-19496Comets1Monsters2LBoxScore
65 - 2020-12-21514Heat3Comets1LBoxScore
66 - 2020-12-22529Comets3Sound Tigers1WBoxScore
70 - 2020-12-26548Reign0Comets4WBoxScore
72 - 2020-12-28559Comets4Bruins2WBoxScore
75 - 2020-12-31573Comets2Rampage0WBoxScore
76 - 2021-01-01583Phantoms3Comets2LXXBoxScore
79 - 2021-01-04606Eagles2Comets5WBoxScore
81 - 2021-01-06615Comets2Griffins3LBoxScore
84 - 2021-01-09637Sound Tigers2Comets1LXBoxScore
86 - 2021-01-11656Comets6Phantoms3WBoxScore
89 - 2021-01-14669Devils2Comets3WXBoxScore
94 - 2021-01-19696Griffins4Comets3LXBoxScore
95 - 2021-01-20714Comets1Condors2LBoxScore
97 - 2021-01-22727Rocket2Comets4WBoxScore
100 - 2021-01-25743Comets6Moose0WBoxScore
101 - 2021-01-26758Admirals1Comets3WBoxScore
104 - 2021-01-29773Comets1Wolf Pack7LBoxScore
105 - 2021-01-30787Marlies2Comets1LBoxScore
107 - 2021-02-01806Comets3Devils1WBoxScore
109 - 2021-02-03818Moose2Comets8WBoxScore
115 - 2021-02-09849Bears4Comets3LXBoxScore
117 - 2021-02-11856Comets2Americans3LBoxScore
118 - 2021-02-12875Admirals0Comets1WBoxScore
120 - 2021-02-14892Comets2Bears0WBoxScore
124 - 2021-02-18907Crunch0Comets2WBoxScore
127 - 2021-02-21932Comets2Eagles1WBoxScore
128 - 2021-02-22937Checkers1Comets3WBoxScore
131 - 2021-02-25966Thunderbirds5Comets4LBoxScore
132 - 2021-02-26977Comets4Barracuda3WXBoxScore
134 - 2021-02-28996Moose0Comets3WBoxScore
136 - 2021-03-021010Comets4Checkers2WBoxScore
138 - 2021-03-041027Rampage1Comets2WBoxScore
140 - 2021-03-061044Comets5Wild4WBoxScore
141 - 2021-03-071053Comets2Crunch0WBoxScore
143 - 2021-03-091064Senators3Comets2LXXBoxScore
145 - 2021-03-111087Comets6Heat5WXXBoxScore
146 - 2021-03-121095Wild0Comets3WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2021-03-171121Comets3Penguins2WXXBoxScore
153 - 2021-03-191126Penguins5Comets2LBoxScore
155 - 2021-03-211148Roadrunners2Comets3WXXBoxScore
156 - 2021-03-221157Comets1Gulls2LBoxScore
157 - 2021-03-231164Comets2Stars3LXBoxScore
160 - 2021-03-261185Condors0Comets6WBoxScore
161 - 2021-03-271202Comets2Stars3LXXBoxScore
163 - 2021-03-291206Comets4Wild2WBoxScore
166 - 2021-04-011219Stars0Comets1WBoxScore
168 - 2021-04-031227Comets5Reign0WBoxScore
173 - 2021-04-081253Comets2Thunderbirds3LXXBoxScore
175 - 2021-04-101267Wolves3Comets2LXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance78,12038,770
Attendance PCT95.27%94.56%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2851 - 95.03% 71,167$2,917,859$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,614,743$ 113,500$ 3,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 114,674$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 14,766$ 0$




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
Regular Season
1282383203333250255-541181701221130139-941201502112120116494250462712170898372229807118137522446668140418614507717.11%5808186.03%31406248756.53%1355254653.22%675123954.48%200013811981589982495
1376243904333204244-4038141602213102113-1138102302120102131-2968204348552040836450204906586766911913563105516444646313.58%4337881.99%51168238349.01%1069210150.88%563111350.58%187513211829548897444
1476234502213186234-483815220000193111-18388230221293123-305718633952508068585719710586661703191853894613953415114.96%4017581.30%21255232254.05%1082214250.51%601111054.14%191313601761534915459
15824520024562311805141239013231159025412211011331169026114231422653115728270132244747718761671930569100115294207317.38%4275786.65%21547256660.29%1334240155.56%673113459.35%219515671804571985519
Total Regular Season316130136011121215871913-42158706404758440453-13158607207577431460-29333871157124422347232227519285627472673291122138207233844066429167526415.76%184129184.19%125376975855.09%4840919052.67%2512459654.66%798456307376224337801918
Playoff
11137600000312837430000019154633000001213-11431548511013116353096114106380962292951081211.11%97990.72%124644854.91%30450560.20%10719554.87%35425833710315675
Total Playoff137600000312837430000019154633000001213-11431548511013116353096114106380962292951081211.11%97990.72%124644854.91%30450560.20%10719554.87%35425833710315675