Silver Knights

GP: 35 | W: 21 | L: 14 | OTL: 0 | P: 42
GF: 159 | GA: 144 | PP%: 13.74% | PK%: 70.54%
GM : Jean-François Misson | Morale : 50 | Team Overall : 63
Next Games #557 vs Firebirds

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# 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
1Josh Doan0XX100.007039876880868966696766646863647650660
2Alex Steeves0XXX98.007438826775898565696366616467684250650
3Cole Koepke0X98.007939936579888564616264636567694250650
4Georgii Merkulov0XXX100.005936916668838564746562616365674250640
5Jackson Blake0X100.005634887068837569596466616862656350640
6Mikael Pyyhtia0XX100.006136956470808963656259726164665850640
7Emil Lilleberg0X100.007755696785828862307058675064665950680
8Maveric Lamoureux0X100.007945626392847062306460655261637950660
Scratches
1Zach Aston-Reese0XXX100.007740826677828762656160695873743450650
2Fabian Lysell0X100.006038806769838264626559606763648250630
3Justin Hryckowian0X100.006739836471767563726562616364674650630
4Noah Philp0XX100.007239866383857262656061636267693750630
5James Malatesta0XX100.007540686568818063586162606563645850620
6Jacob Melanson0X100.007841666076827958555957615662645850610
7Patrick Giles0X100.008041825793768459555658575965674250610
8Chase Wheatcroft0X100.007039855779728156655855595663654550600
9Riley Duran0X100.007336935872807356635758595663654950600
10Ben McCartney0X100.006242656071808159626059575864664850600
11Bradley Marek0X100.007743725586777454515357595665674250590
12Luke Tuch0X100.007641735885756856525554595663657250590
13Ben Steeves0X100.006139725961857256605857535563654550580
14Cameron Butler0X100.007245615689677655525354575663654350580
15Jakub Rychlovsky0X100.005837905667696653575455525664654250560
16Alex Alexeyev0X100.006838956492816862306658645065687450650
17Oliver Kylington0X100.006334866771866966307263655569685650650
18Tyrel Bauer0X100.007656615485648153305251564563654950600
19Travis Mitchell0X100.007544655684647855305453574566684250600
20Samuel Johannesson0X100.005536956168707258306354554765674750590
21Jack Peart0X100.006138835870667156305453574562647150580
22Trey Taylor0X100.006937955578766054305350524563654450580
23Joe Fleming0X100.007146505380646651305250554562644450570
TEAM AVERAGE99.87694079617778776051605860566466535062
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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")
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
Scratches
1Justus Annunen100.00848581888382848382848365736450800
2Matt D. Murray100.00798581777877797877797867775350760
3Matt Villalta100.00779086817675777675777666756250750
4Joel Blomqvist100.00778682837675777675777663697150740
5Jacob Fowler100.00717268827069717069717061656750690
6Benjamin Gaudreau100.00647167756362646362646362676550640
7Vyacheslav Peksa100.00607066805958605958605963694950620
TEAM AVERAGE100.0073807681727173727173726471625071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gerard Gallant72817671928654CAN6291,000,000$


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
1Cole KoepkeSilver Knights (VGK)LW354748954543511314338210024412.30%4989425.5600000000009168.94%39600062.1200100662
2Alex SteevesSilver Knights (VGK)C/LW/RW3532518343535109942365316713.56%6789725.6500000000002171.57%30600131.8500000453
3Josh DoanSilver Knights (VGK)C/RW11121224121610163282305914.63%426724.3110114000001068.31%18300011.8000002202
4Fabian LysellSilver Knights (VGK)RW9661242010246320479.52%121123.5300000000001178.95%1900011.1300000030
5Conor ShearyVegas KnightsLW/RW103471003133212199.38%325525.591344430003620142.86%2800000.5500000101
6Mikael PyyhtiaSilver Knights (VGK)C/LW4145420618239184.35%39624.0300000000000066.07%11200001.0400000000
7Zach Aston-ReeseSilver Knights (VGK)C/LW/RW5213-3009131731511.76%112124.331127280002170169.23%3900000.4900000101
Team Total or Average1091031262291061162026633783522756912.34%128274525.19347127600058013568.79%1083001111.670010214149
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
Team Total or Average0.0000.0000.000


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
Alex AlexeyevD261999-11-15No229 Lbs6 ft4NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Alex SteevesC/LW/RW261999-12-10No202 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ben McCartneyLW242001-07-13No182 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ben SteevesLW232002-05-10No165 Lbs5 ft8NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Benjamin GaudreauG232003-01-11No175 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Bradley MarekLW252000-11-13No212 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cameron ButlerRW232002-06-09No210 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Chase WheatcroftC232002-05-28No192 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cole KoepkeLW271998-05-17No207 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Emil LillebergD242001-02-02No208 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Fabian LysellRW222003-01-19No181 Lbs5 ft11NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Georgii MerkulovC/LW/RW252000-10-10No176 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jack PeartD222003-05-15No186 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Jackson BlakeRW222003-08-03No178 Lbs5 ft11NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Jacob FowlerG212004-11-24No223 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Jacob MelansonRW222003-04-22No207 Lbs6 ft0NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Jakub RychlovskyLW242001-08-07No181 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink
James MalatestaC/LW222003-05-31No193 Lbs5 ft9NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Joe FlemingD222003-06-19No215 Lbs6 ft1NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Joel BlomqvistG242002-01-10No200 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Josh DoanC/RW232002-02-01No198 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Justin HryckowianC242001-02-23No195 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Justus AnnunenG252000-03-11No210 Lbs6 ft4NoNoNo4RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Luke TuchLW232002-03-07No209 Lbs6 ft3NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Matt D. MurrayG271998-02-02No196 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink
Matt VillaltaG261999-06-03No190 Lbs6 ft3NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Maveric LamoureuxD222004-01-13No196 Lbs6 ft6NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Mikael PyyhtiaC/LW242001-12-17No176 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Noah PhilpC/RW271998-08-31No198 Lbs6 ft3NoNoNo4UFAPro & Farm300,000$0$0$NoLink
Oliver KylingtonD281997-05-19No183 Lbs6 ft0NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Patrick GilesRW262000-01-03No218 Lbs6 ft5NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Riley DuranC232002-01-25No174 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Samuel JohannessonD252000-12-27No176 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Travis MitchellD261999-11-25No201 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Trey TaylorD232002-02-04No190 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Tyrel BauerD232002-03-23No206 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Vyacheslav PeksaG232002-08-27No181 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Zach Aston-ReeseC/LW/RW311994-08-10No200 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3824.18195 Lbs6 ft12.58421,053$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
3Alex Steeves20122
4Cole Koepke10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3542L11592624211593119338726365500
All Games
GPWLOTWOTL SOWSOLGFGA
3520141000159144
Home Games
GPWLOTWOTL SOWSOLGFGA
1710700007865
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1810710008179
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1311813.74%1123370.54%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
50056652526058401
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
716125257.19%49093752.29%37062359.39%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
963734755211381198


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
8 - 2025-08-225Silver Knights4Stars6LBoxScore
9 - 2025-08-2320Silver Knights3Stars2WXBoxScore
15 - 2025-08-2942Wranglers4Silver Knights6WBoxScore
16 - 2025-08-3053Wranglers2Silver Knights7WBoxScore
20 - 2025-09-0368Barracuda8Silver Knights1LBoxScore
22 - 2025-09-0569Barracuda4Silver Knights3LBoxScore
24 - 2025-09-07100Silver Knights7Reign3WBoxScore
29 - 2025-09-12120Reign2Silver Knights6WBoxScore
30 - 2025-09-13131Silver Knights5Reign3WBoxScore
37 - 2025-09-20166Silver Knights4Wranglers3WBoxScore
38 - 2025-09-21171Silver Knights4Wranglers2WBoxScore
43 - 2025-09-26199Roadrunners2Silver Knights9WBoxScore
44 - 2025-09-27214Roadrunners2Silver Knights5WBoxScore
48 - 2025-10-01226Reign3Silver Knights5WBoxScore
50 - 2025-10-03239Canucks4Silver Knights5WBoxScore
51 - 2025-10-04253Canucks5Silver Knights4LBoxScore
57 - 2025-10-10276Silver Knights3Eagles7LBoxScore
58 - 2025-10-11282Silver Knights8Eagles5WBoxScore
61 - 2025-10-14300Silver Knights2Firebirds7LBoxScore
65 - 2025-10-18331Stars7Silver Knights3LBoxScore
66 - 2025-10-19340Stars4Silver Knights2LBoxScore
69 - 2025-10-22350Silver Knights1Gulls2LBoxScore
71 - 2025-10-24359Silver Knights1Roadrunners5LBoxScore
72 - 2025-10-25371Silver Knights7Roadrunners5WBoxScore
76 - 2025-10-29394Silver Knights5Condors3WBoxScore
78 - 2025-10-31406Silver Knights5Wranglers7LBoxScore
80 - 2025-11-02424Silver Knights6Wranglers5WBoxScore
86 - 2025-11-08439Barracuda6Silver Knights1LBoxScore
87 - 2025-11-09454Barracuda5Silver Knights2LBoxScore
89 - 2025-11-11464Reign1Silver Knights7WBoxScore
92 - 2025-11-14479Silver Knights8Condors3WBoxScore
94 - 2025-11-16498Condors3Silver Knights6WBoxScore
97 - 2025-11-19507Reign3Silver Knights6WBoxScore
99 - 2025-11-21521Silver Knights6Canucks5WBoxScore
100 - 2025-11-22535Silver Knights2Canucks6LBoxScore
105 - 2025-11-27557Silver Knights-Firebirds-
107 - 2025-11-29575Silver Knights-Reign-
109 - 2025-12-01590Silver Knights-Roadrunners-
111 - 2025-12-03592Silver Knights-Roadrunners-
113 - 2025-12-05611Eagles-Silver Knights-
114 - 2025-12-06625Eagles-Silver Knights-
118 - 2025-12-10642Silver Knights-Condors-
120 - 2025-12-12660Silver Knights-Barracuda-
121 - 2025-12-13672Silver Knights-Barracuda-
127 - 2025-12-19688Wranglers-Silver Knights-
128 - 2025-12-20702Wranglers-Silver Knights-
132 - 2025-12-24719Firebirds-Silver Knights-
135 - 2025-12-27739Roadrunners-Silver Knights-
136 - 2025-12-28750Roadrunners-Silver Knights-
139 - 2025-12-31765Condors-Silver Knights-
141 - 2026-01-02774Silver Knights-Admirals-
142 - 2026-01-03783Silver Knights-Admirals-
146 - 2026-01-07813Firebirds-Silver Knights-
149 - 2026-01-10837Silver Knights-Barracuda-
150 - 2026-01-11844Silver Knights-Barracuda-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2026-01-17873Eagles-Silver Knights-
157 - 2026-01-18888Eagles-Silver Knights-
163 - 2026-01-24922Silver Knights-Firebirds-
164 - 2026-01-25931Silver Knights-Reign-
167 - 2026-01-28944Silver Knights-Firebirds-
169 - 2026-01-30955Gulls-Silver Knights-
170 - 2026-01-31959Gulls-Silver Knights-
176 - 2026-02-061000Admirals-Silver Knights-
177 - 2026-02-071015Admirals-Silver Knights-
183 - 2026-02-131048Firebirds-Silver Knights-
184 - 2026-02-141060Firebirds-Silver Knights-
188 - 2026-02-181077Condors-Silver Knights-
190 - 2026-02-201087Silver Knights-Eagles-
191 - 2026-02-211104Silver Knights-Eagles-
195 - 2026-02-251122Silver Knights-Gulls-
197 - 2026-02-271135Silver Knights-Condors-
198 - 2026-02-281150Condors-Silver Knights-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance31,63716,218
Attendance PCT93.05%95.40%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
19 2815 - 93.83% 69,911$1,188,495$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
661,633$ 160,000$ 160,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 82,133$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,328,318$ 100 5,800$ 580,000$




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
13765417001222841591253826900102140796138288000201448064115284494778011090959722850743747781167250291013864278920.84%3975386.65%61551243863.62%1247217357.39%643109558.72%204215101675508862444
147648170241425714411338246023121286860382411001021297653110257478735070104708022750738744773159251685712833456819.71%3583590.22%51471236362.25%1216202959.93%653109659.58%216816051540507894477
147648170241425714411338246023121286860382411001021297653110257478735070104708022750738744773159251685712833456819.71%3583590.22%51471236362.25%1216202959.93%653109659.58%216816051540507894477
147648170241425714411338246023121286860382411001021297653110257478735070104708022750738744773159251685712833456819.71%3583590.22%51471236362.25%1216202959.93%653109659.58%216816051540507894477
1582502003324293180113412950221216991784121150111212489351172935338261130123927325680851819871211760098914604168119.47%3935187.02%21482256557.78%1376256153.73%642118554.18%210615371903564948482
1582502003324293180113412950221216991784121150111212489351172935338261130123927325680851819871211760098914604168119.47%3935187.02%21482256557.78%1376256153.73%642118554.18%210615371903564948482
168251210323224312911441299001201306367412212031121136647118243406649019079867222090701782710182555188815544018120.20%3734388.47%11199242849.38%1038236743.85%521106049.15%217816051843536932488
177242220412130817912936231002010169888136191202111139914898308477785090128997525670841868848197157177315453757820.80%3365384.23%21036229945.06%903218141.40%517110446.83%190514391666462772386
187253140230031918213736276021001669076362680020015392611133195698880120142938227210896916895215759066314563416619.35%2703487.41%11074221748.44%927209144.33%532111147.88%195414891608432770399
19704817021113501781723526900000172848835228021111789484104350626976014015011384288209399161017190957667614672987525.17%2733587.18%31322219560.23%1082189057.25%664113958.30%200915621461408742393
2035201401000159144151710700000786513181070100081792421592624210060584011593500566525211933872636551311813.74%1123370.54%1716125257.19%49093752.29%37062359.39%963734755211381198
Total Regular Season799512196024261526302017631257399271780141681215778557224002411180101071414439085351154302053348354211260120592079726218500860286248314197375925872214832384077320.13%362145887.35%33142752504856.99%120872284852.90%64901179055.05%217711623617439521290424709
Playoff
131912700000584513107300000352114954000002324-124589615401025171550401731541644421303273351371813.14%1241885.48%034160656.27%29556152.58%15327855.04%471338478142221105
142011900000403281174000002214894500000181802240741141201751649401501361883841112243391161412.07%911089.01%130863248.73%30857153.94%12925450.79%529376459150251130
151495000003824148620000021138633000001711618386810613019910350011711711626373151232871719.54%64690.63%026143360.28%21538356.14%11418860.64%35224532210517188
16624000001114-3321000008713030000037-441115260002361470443949149485711239820.51%24675.00%07920638.35%6119830.81%359038.89%148102173518139
17514000001522-72020000069-331200000913-421519340001023137043335419447568638513.16%27581.48%05716933.73%5018826.60%197824.36%11683152395726
1840400000315-122020000018-72020000027-503470002105901530141365345572813.57%13376.92%0229622.92%2211618.97%146222.58%5735137304517
Total Playoff683533000001651521336221400000937221321319000007280-87016527644126075375016910542509585156846286011614456314.16%3434886.01%11068214249.86%951201747.15%46495048.84%167511831724519830407