Gulls

GP: 9 | W: 7 | L: 1 | OTL: 1 | P: 15
GF: 43 | GA: 29 | PP%: 15.63% | PK%: 84.38%
GM : Xavier Berard | Morale : 75 | Team Overall : 58
Next Games #154 vs Comets

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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
1Shane WrightX100.006635957773838972757169647363658975680
2Evgenii DadonovXX100.006334957370817968506669637281782975670
3Cole KoepkeX100.008339936979778664526063706268704175660
4Jansen HarkinsX100.007843857177788265816766636571705875660
5Jiri KulichXXX100.006636917376857468726069636762648075650
6Kyle MacLean (R)X100.007541886875768662806160646367693775640
7Marc Gatcomb (R)X100.008840906680778659615762586367693775640
8Rory KerinsXX100.006135916765858466686964616564664875640
9Dylan Roobroeck (R)X100.008853725897808757605659645562644975620
10Danila KlimovichXX100.007242736181958459605763616264657475620
11Jared Wright (R)X100.006537946773838958536155605664664875620
12Ben Steeves (R)X100.006155686362868562586160646365664375610
13Xavier BourgaultXX100.006536895769848556605958555764668075600
14Jan MysakXX100.005837876167868358636059566164667075600
15Kaedan KorczakX100.007337936685868262307255634965677175640
16Dennis CholowskiX100.006939926482817363306758595168706875630
17Ethan Del MastroX100.007639776588838564306355665263656175630
18Lassi ThomsonX100.006340746273827257306558594866687975610
19Cole HultsX100.004040404040404040404040404040404075420
Scratches
1Andrew OglevieX100.004040404040404040404040404040404075420
2Matej PekarX100.004040404040404040404040404040404075420
3Ty RattieX100.004040404040404040404040404040404075420
4Jett WooX100.006645605875728056305753554666687375580
5Joey LaleggiaX100.004040404040404040404040404040404075420
TEAM AVERAGE100.00644075606973745752585657556162567559
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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")
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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
1Remi Poirier (R)100.00788783827776787776787765734775660
2Matt Villalta (R)100.00768682817574767574767567775675650
Scratches
1Garin Bjorklund (R)100.00717470757069717069717065714875620
2Pekka Rinne100.00404040404040404040404040404075450
3Veini Vehvilainen100.00404040404040404040404040404075450
TEAM AVERAGE100.0061656364606061606061605560467557
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Warsofsky81768380575388USA383750,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Kyle MacLeanGulls (ANA)C9510151160112141131712.20%114015.5600000000001064.10%15600002.1400000032
2Jiri KulichGulls (ANA)C/LW/RW9951444073055104116.36%521724.21101325000091054.84%3100011.2900000111
3Ben SteevesGulls (ANA)LW98513124010192972127.59%314516.17000000000030100.00%300001.7900000302
4Kaedan KorczakGulls (ANA)D901212810023206680.00%1723325.90022432000025000.00%000001.0300000102
5Jansen HarkinsGulls (ANA)C94610-360333825101516.00%314516.201346250000150066.20%21600001.3700000020
6Shane WrightGulls (ANA)C944874073640152910.00%318921.0101110310001320061.62%28400000.8500000110
7Cole KoepkeGulls (ANA)LW9527760272436143113.89%518820.931017300000300043.75%1600000.7400000001
8Rory KerinsGulls (ANA)C/LW9167-4006202810153.57%216518.341124250001220056.25%1600000.8500000000
9Ethan Del MastroGulls (ANA)D9066-360231712460.00%1419021.21000523000019000.00%000000.6300000000
10Danila KlimovichGulls (ANA)LW/RW9145000510154156.67%1869.6100001000011041.67%1200001.1600000000
11Xavier BourgaultGulls (ANA)C/RW9235640105154913.33%520522.8100000000001062.50%800000.4900000110
12Marc GatcombGulls (ANA)C9224-1601616194810.53%2808.9200000000000058.24%9100001.0000000000
13Lassi ThomsonGulls (ANA)D9123-30013781512.50%1319721.91101423000025000.00%000000.3000000000
14Cole HultsGulls (ANA)D911296012020050.00%711312.560000100006010.00%000000.3500000000
15Joey LaleggiaGulls (ANA)D50115401000010.00%05511.180000000000000.00%000000.3600000000
16Dylan RoobroeckGulls (ANA)C9000000001000.00%000.070000000000000.00%000000.0000000000
Team Total or Average14043691125566021326333210222112.95%81235416.8257124322000021887162.06%83300010.9500000788
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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
1Remi PoirierGulls (ANA)97110.9113.2154200293250100.000090100
Team Total or Average97110.9113.2154200293250100.000090100


Filter Tips
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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
Andrew OglevieC311995-02-16No180 Lbs5 ft11NoNoNo2UFAPro & Farm800,000$0$0$NoLink / NHL Link
Ben SteevesLW242002-05-10Yes165 Lbs5 ft8NoNoNo2RFAPro & Farm775,059$0$0$NoLink / NHL Link
Cole HultsD281998-05-22No189 Lbs6 ft0NoNoNo1UFAPro & Farm800,000$0$0$NoLink / NHL Link
Cole KoepkeLW281998-05-17No207 Lbs6 ft1YesNoNo5UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Danila KlimovichLW/RW232003-01-09No202 Lbs6 ft2NoNoNo1RFAPro & Farm833,333$0$0$NoLink / NHL Link
Dennis CholowskiD281998-02-15No210 Lbs6 ft2NoNoNo1UFAPro & Farm800,000$0$0$NoLink / NHL Link
Dylan RoobroeckC222004-07-27Yes207 Lbs6 ft7NoNoNo2ELCPro & Farm1,699,999$0$0$NoLink / NHL Link
Ethan Del MastroD232003-01-15No210 Lbs6 ft4NoNoNo1RFAPro & Farm855,833$0$0$NoLink / NHL Link
Evgenii DadonovLW/RW371989-03-12No188 Lbs5 ft11YesNoNo1UFAPro & Farm1,699,999$0$0$NoLink / NHL Link
Garin BjorklundG242002-05-28Yes174 Lbs6 ft2NoNoNo2RFAPro & Farm775,059$0$0$NoLink / NHL Link
Jan MysakC/LW242002-06-04No175 Lbs5 ft11NoNoNo1RFAPro & Farm828,333$0$0$NoLink / NHL Link
Jansen HarkinsC291997-05-23No197 Lbs6 ft1YesNoNo2UFAPro & Farm1,699,999$0$0$NoLink / NHL Link
Jared WrightRW232002-11-22Yes178 Lbs6 ft1YesNoNo2RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Jett WooD262000-07-27No205 Lbs6 ft0NoNoNo2RFAPro & Farm800,000$0$0$NoLink / NHL Link
Jiri KulichC/LW/RW222004-04-14No193 Lbs6 ft1NoNoNo1ELCPro & Farm886,666$0$0$NoLink / NHL Link
Joey LaleggiaD341992-06-24No182 Lbs5 ft9NoNoNo2UFAPro & Farm800,000$0$0$NoLink / NHL Link
Kaedan KorczakD252001-01-29No206 Lbs6 ft3NoNoNo5RFAPro & Farm825,000$0$0$NoLink / NHL Link
Kyle MacLeanC271999-04-29Yes190 Lbs6 ft1NoNoNo4RFAPro & Farm775,059$0$0$NoLink / NHL Link
Lassi ThomsonD252000-09-24No195 Lbs6 ft0NoNoNo1RFAPro & Farm863,334$0$0$NoLink / NHL Link
Marc GatcombC271999-07-22Yes200 Lbs6 ft2YesNoNo5RFAPro & Farm1,699,999$0$0$NoLink / NHL Link
Matej PekarLW262000-02-10No185 Lbs6 ft1NoNoNo2RFAPro & Farm800,000$0$0$NoLink / NHL Link
Matt VillaltaG271999-06-03Yes190 Lbs6 ft3YesNoNo4RFAPro & Farm1,699,999$0$0$NoLink / NHL Link
Pekka RinneG431982-11-03No217 Lbs6 ft5NoNoNo2UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Remi PoirierG242001-10-06Yes210 Lbs6 ft2YesNoNo5RFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Rory KerinsC/LW242002-04-12No175 Lbs5 ft10NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Shane WrightC222004-01-05No192 Lbs6 ft0NoNoNo2ELCPro & Farm886,666$0$0$NoLink / NHL Link
Ty RattieRW331993-02-05No183 Lbs6 ft0NoNoNo2UFAPro & Farm800,000$0$0$NoLink / NHL Link
Veini VehvilainenG291997-02-13No181 Lbs6 ft0NoNoNo1UFAPro & Farm800,000$0$0$NoLink / NHL Link
Xavier BourgaultC/RW232002-10-22No185 Lbs5 ft11NoNoNo1RFAPro & Farm775,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2926.93192 Lbs6 ft12.211,043,253$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cole KoepkeShane Wright40122
2Rory KerinsJansen HarkinsJiri Kulich30122
3Danila KlimovichMarc GatcombXavier Bourgault20122
4Ben SteevesKyle MacLean10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan Korczak40122
2Ethan Del MastroLassi Thomson30122
3Cole Hults20122
4Kaedan Korczak10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Cole KoepkeShane Wright60122
2Rory KerinsJansen HarkinsJiri Kulich40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan Korczak60122
2Ethan Del MastroLassi Thomson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Shane WrightCole Koepke60122
2Jansen HarkinsRory Kerins40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan Korczak60122
2Ethan Del MastroLassi Thomson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Shane Wright60122Kaedan Korczak60122
2Jansen Harkins40122Ethan Del MastroLassi Thomson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Shane WrightCole Koepke60122
2Jansen HarkinsRory Kerins40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan Korczak60122
2Ethan Del MastroLassi Thomson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Cole KoepkeShane WrightKaedan Korczak
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Cole KoepkeShane WrightKaedan Korczak
Extra Forwards
Normal PowerPlayPenalty Kill
Jiri Kulich, Rory Kerins, Kyle MacLeanJiri Kulich, Rory KerinsJiri Kulich
Extra Defensemen
Normal PowerPlayPenalty Kill
Lassi Thomson, Cole Hults, Lassi ThomsonLassi Thomson, Cole Hults
Penalty Shots
Shane Wright, , Cole Koepke, Jansen Harkins, Jiri Kulich
Goalie
#1 : Remi Poirier, #2 : Matt Villalta
Custom OT Lines Forwards
Shane Wright, , Cole Koepke, Jansen Harkins, Jiri Kulich, Rory Kerins, Rory Kerins, Kyle MacLean, Marc Gatcomb, Danila Klimovich, Dylan Roobroeck
Custom OT Lines Defensemen
Kaedan Korczak, , Ethan Del Mastro, Lassi Thomson, Cole Hults


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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
915OTL14372115346325876822200
All Games
GPWLOTWOTL SOWSOLGFGA
97101004329
Home Games
GPWLOTWOTL SOWSOLGFGA
44000002314
Visitor Games
GPWLOTWOTL SOWSOLGFGA
53101002015
Last 10 Games
WLOTWOTL SOWSOL
710100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
32515.63%32584.38%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
11710712111417120
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
21535161.25%21133562.99%9915862.66%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2381741936011058


Last Played Games
Filter Tips
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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
4 - 2026-09-2121Gulls4Silver Knights2WBoxScore
6 - 2026-09-2337Checkers4Gulls6WBoxScore
9 - 2026-09-2655Condors4Gulls6WBoxScore
11 - 2026-09-2869Gulls4Moose3WBoxScore
12 - 2026-09-2982Gulls8Heat2WBoxScore
15 - 2026-10-02103Heat4Gulls6WBoxScore
18 - 2026-10-05120Bruins2Gulls5WBoxScore
21 - 2026-10-08137Gulls1Wolf Pack4LBoxScore
22 - 2026-10-09141Gulls3Islanders4LXBoxScore
24 - 2026-10-11154Gulls-Comets-
26 - 2026-10-13168Gulls-Phantoms-
29 - 2026-10-16196Canucks-Gulls-
31 - 2026-10-18211Americans-Gulls-
34 - 2026-10-21231Senators-Gulls-
36 - 2026-10-23246Gulls-Canucks-
38 - 2026-10-25259Gulls-Condors-
39 - 2026-10-26263Gulls-Heat-
41 - 2026-10-28282Penguins-Gulls-
44 - 2026-10-31296Admirals-Gulls-
47 - 2026-11-03324Islanders-Gulls-
48 - 2026-11-04327Heat-Gulls-
50 - 2026-11-06339Gulls-Thunderbirds-
52 - 2026-11-08356Gulls-Eagles-
54 - 2026-11-10370Gulls-Roadrunners-
56 - 2026-11-12383Gulls-Firebirds-
58 - 2026-11-14397Barracuda-Gulls-
60 - 2026-11-16408Reign-Gulls-
61 - 2026-11-17425Gulls-Reign-
64 - 2026-11-20443Wild-Gulls-
67 - 2026-11-23463Firebirds-Gulls-
69 - 2026-11-25480Moose-Gulls-
71 - 2026-11-27486Gulls-Senators-
73 - 2026-11-29499Gulls-Rocket-
75 - 2026-12-01518Gulls-Americans-
76 - 2026-12-02529Gulls-Marlies-
79 - 2026-12-05548Canucks-Gulls-
81 - 2026-12-07564Gulls-Wild-
83 - 2026-12-09581Gulls-Condors-
85 - 2026-12-11600Silver Knights-Gulls-
90 - 2026-12-16618Eagles-Gulls-
92 - 2026-12-18636Marlies-Gulls-
95 - 2026-12-21652Comets-Gulls-
97 - 2026-12-23672Phantoms-Gulls-
99 - 2026-12-25689Wild-Gulls-
102 - 2026-12-28707Stars-Gulls-
104 - 2026-12-30723Bears-Gulls-
106 - 2027-01-01737Wolf Pack-Gulls-
108 - 2027-01-03753Thunderbirds-Gulls-
110 - 2027-01-05761Gulls-Moose-
113 - 2027-01-08786Gulls-Griffins-
115 - 2027-01-10798Gulls-Penguins-
117 - 2027-01-12815Gulls-Wolves-
118 - 2027-01-13825Gulls-Monsters-
120 - 2027-01-15841Gulls-Stars-
122 - 2027-01-17858IceHogs-Gulls-
124 - 2027-01-19876Admirals-Gulls-
134 - 2027-01-29900Griffins-Gulls-
136 - 2027-01-31905IceHogs-Gulls-
138 - 2027-02-02913Gulls-Admirals-
140 - 2027-02-04929Gulls-Bruins-
141 - 2027-02-05939Gulls-Bears-
143 - 2027-02-07951Gulls-Crunch-
145 - 2027-02-09970Gulls-Checkers-
149 - 2027-02-131002Firebirds-Gulls-
151 - 2027-02-151017Gulls-Silver Knights-
152 - 2027-02-161022Rocket-Gulls-
154 - 2027-02-181041Gulls-Reign-
158 - 2027-02-221068Crunch-Gulls-
160 - 2027-02-241087Monsters-Gulls-
163 - 2027-02-271105Gulls-Stars-
166 - 2027-03-021124Gulls-Thunderbirds-
Trade Deadline --- Trades can’t be done after this day is simulated!
167 - 2027-03-031135Gulls-IceHogs-
169 - 2027-03-051152Wolves-Gulls-
171 - 2027-03-071169Roadrunners-Gulls-
173 - 2027-03-091184Silver Knights-Gulls-
175 - 2027-03-111195Barracuda-Gulls-
177 - 2027-03-131210Gulls-Barracuda-
178 - 2027-03-141222Gulls-Firebirds-
180 - 2027-03-161228Gulls-Canucks-
183 - 2027-03-191258Eagles-Gulls-
185 - 2027-03-211271Gulls-Roadrunners-
187 - 2027-03-231286Condors-Gulls-
190 - 2027-03-261309Reign-Gulls-
194 - 2027-03-301331Gulls-Barracuda-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3011
Attendance7,8304,000
Attendance PCT97.88%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
35 2958 - 98.58% 66,239$264,955$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
441,835$ 3,025,433$ 3,025,433$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
15,595$ 352,917$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,517,072$ 171 19,461$ 3,327,831$




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
201778521601342522353169392570023224217369392790111028018010011952279513171013418919482559799886864282098683765201245118641.24%2526972.62%16998159162.73%836134362.25%981159161.66%181595614486071452889
201982392903803224216841171600701112114-2412213031021121021095224425649448480573270688188191735270876752017672624416.79%2183583.94%31544291552.97%1558293753.05%619118152.41%2057144718625901045532
20208238290543330428123412412011121661244241141704321138157-1999304558862011188395112977961930103374290084853419252614517.24%2476075.71%51635296755.11%1553297052.29%759135655.97%2087148718555701034531
202182413004520330299314118170141015314674123130311017715324993305919211001151139632790111110131131304991058720162897024.22%2725280.88%51876321058.44%1750311556.18%786137757.08%2124152318185641006515
20228249240521133626571412511031101711234841241302101165142231133366179531201191139830700100310011052291679745918523057725.25%1943780.93%31812309858.49%1667288757.74%822142057.89%2242163016755381023549
202382363701611373381-841142100510174195-21412216011011991861383373670104341015810211134810117311331160340997144919892816222.06%1953482.56%31922328558.51%1656288657.38%877147359.54%2204159917245331013537
202482244804510346435-8941132402200180219-3941112402310166216-50633466349802001301179431340103910491034328996853920042845419.01%2365775.85%31824298861.04%1496247860.37%938155160.48%215215701800517983516
202582294403213363437-7441162001013173189-1641132402200190248-5871363651101401013911210832380108710851047329988349420012716523.99%2195176.71%11890311260.73%1480238562.05%925156759.03%218115991785522978509
202697100100432914440000002314953100100201551543721150014171203461171071211325876822232515.63%32584.38%021535161.25%21133562.99%9915862.66%2381741936011058
Total Regular Season661315258026361313284126961453301561280822881394129797331159130018145514471399487572841501378541393501030915529247902758821782165562239936914441515788243660824.96%186540078.55%39137162351758.32%122072133657.21%68061167458.30%171041198814164450586494640
Playoff
201713850000082681474300000393906420000043291416821272090025312513741141231352455147169304683348.53%571966.67%217226165.90%15926759.55%16227558.91%27013728599229138
2019514000001216-430300000611-52110000065121221330062401464949480182523413515320.00%16287.50%08715655.77%12019162.83%317441.89%12690114336231
2022624000001823-532100000118330300000715-8418335100068427409010084238733313821419.05%12466.67%016525066.00%14421866.06%589461.70%176132110367340
2023404000001624-820200000710-320200000914-50162642100547142054444415843321021317.69%15660.00%07815151.66%6414643.84%397651.32%896198295225
Total Playoff28111700000128131-31569000006368-51358000006563222128207335103144411293616331632713010333152686791174135.04%1003169.00%250281861.37%48782259.25%29051955.88%663421608200417235