Silver Knights

GP: 4 | W: 1 | L: 2 | OTL: 1 | P: 3
GF: 11 | GA: 15 | PP%: 7.69% | PK%: 100.00%
GM : Sébastien Charron | Morale : 75 | Team Overall : 60
Next Games #65 vs Marlies

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
1David Tomasek (R)XXX100.006336866582776762566061636269703575630
2Valtteri PuustinenXX100.006236936568838264606362616668694275630
3Clark BishopX100.006839796177788758645562605970724675620
4Dylan DukeX100.005839796367948662676165606463665875620
5Benjamin BerardX100.006439916273837258545566576367693775610
6Alex JefferiesX100.006439835773848256625958555765675375600
7Brendan FurryX100.006839875777798255595658605768703675600
8Xavier SimoneauX100.006542646163667957626056635965674875600
9Ondrej BecherX100.006539875974768256635857555962646575600
10Jackson Hallum (R)X100.006339795872738655515756595364666275590
11Matthew MaggioX100.006038845969878356615857555964665475590
12Brendan WarrenX100.006438885773698355525456585369715275590
13Seamus CaseyX100.006036916867807366306867635562647475640
14Scott MorrowX100.006943726682858465306857615364667375630
15Alex Kannok-LeipertX100.008380685672648354305553574566684775590
16Chas Sharpe (R)X100.007340865582657254305352564663654475580
17Ethan FrischX100.006237905471687353305552564566684275580
18John Prokop (R)X100.007340885482626853305152564565674275580
19Simon Mack (R)X100.005835956067636957306150544665674275580
Scratches
1Alexandre Doucet (R)XXX100.006438865873688257535556545964664375590
2Sloan Stanick (R)X100.006241875671686355525357545663654475580
3Shawn ElementXX100.006440805573717854505156575566684275580
4Charlie WrightX100.006436955573627254305351564563654575570
5Christian FeltonX100.006536955274636451305050534566684275560
TEAM AVERAGE100.00654085597374775747575758546567497560
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
1Maxim Pavlenko (R)100.00717268867069717069717064714375620
2Vyacheslav Peksa (R)100.00637369806261636261636265714875580
Scratches
TEAM AVERAGE100.0067736983666567666567666571467560
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Scott Young64606265878159USA581500,000$


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
1Brendan FurrySilver Knights (VGK)LW413412092102910.00%18521.37000313000000050.00%600000.9400000010
2Clark BishopSilver Knights (VGK)C422444061294622.22%08320.96000113000010048.98%9800000.9500000001
3Dylan DukeSilver Knights (VGK)LW4213400191531013.33%18421.180002130000310100.00%300000.7100000100
4Ondrej BecherSilver Knights (VGK)C4123-50051091511.11%47619.0900000000000045.88%8500000.7900000000
5Valtteri PuustinenSilver Knights (VGK)LW/RW4123-500513215154.76%09624.18000411000180041.38%2900000.6200000001
6Benjamin BerardSilver Knights (VGK)LW4112-3003613297.69%07117.92000211000010034.78%2300000.5600000000
7Matthew MaggioSilver Knights (VGK)RW4022-300545160.00%29323.25011111000080037.50%800000.4300000000
8Alex Kannok-LeipertSilver Knights (VGK)D4112-32015140225.00%39323.2900011300004000.00%000000.4300000000
9Scott MorrowSilver Knights (VGK)D4022-300540010.00%26315.760110200000000.00%000000.6300000000
10Simon MackSilver Knights (VGK)D4022000133110.00%68721.890001900006000.00%000000.4600000000
11Chas SharpeSilver Knights (VGK)D4101-3008243425.00%67919.9510131400006000.00%000000.2500000000
12Xavier SimoneauSilver Knights (VGK)C4011-340688450.00%75814.5900000000000047.89%7100000.3400000000
13John ProkopSilver Knights (VGK)D40112001563020.00%38421.010002900005000.00%000000.2400000000
14Seamus CaseySilver Knights (VGK)D3101-1000343325.00%35518.440000000000000.00%000000.3600000000
15Alexandre DoucetSilver Knights (VGK)C/LW/RW3000-100000000.00%010.440000000000000.00%000000.0000000000
16Alex JefferiesSilver Knights (VGK)LW4000-300357160.00%16015.13000000000000100.00%100000.0000000000
17Ethan FrischSilver Knights (VGK)D1000-100110010.00%01919.420000100000000.00%000000.0000000000
18Jackson HallumSilver Knights (VGK)LW4000000002000.00%000.190000000000000.00%000000.0000000000
Team Total or Average67112031-23120888911730859.40%39119517.84123201270001471046.60%32400000.5200000112
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
1Maxim PavlenkoSilver Knights (VGK)41210.8933.7224200151400000.000040000
Team Total or Average41210.8933.7224200151400000.000040000


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
Alex JefferiesLW262001-11-08No195 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Alex Kannok-LeipertD272000-07-20No190 Lbs6 ft0NoNoNo1RFAPro & Farm850,000$0$0$NoLink / NHL Link
Alexandre DoucetC/LW/RW252002-01-12Yes192 Lbs6 ft0NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Benjamin BerardLW281999-02-13No192 Lbs6 ft0NoNoYes2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Brendan FurryLW291998-07-08No198 Lbs6 ft1NoNoYes1UFAPro & Farm850,000$0$0$NoLink / NHL Link
Brendan WarrenLW301997-05-07No191 Lbs6 ft0NoNoYes1UFAPro & Farm850,000$0$0$NoLink / NHL Link
Charlie WrightD242003-10-22No179 Lbs6 ft1NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Chas SharpeD242003-11-28Yes195 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Christian FeltonD272000-02-04No185 Lbs6 ft1NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Clark BishopC311996-03-29No197 Lbs6 ft1NoNoYes1UFAPro & Farm850,000$0$0$NoLink / NHL Link
David TomasekC/LW/RW311996-02-10Yes210 Lbs6 ft2NoNoNo3UFAPro & Farm925,000$0$0$NoLink / NHL Link
Dylan DukeLW242003-03-04No184 Lbs5 ft10NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ethan FrischD272000-10-29No192 Lbs5 ft11NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Jackson HallumLW252002-09-08Yes190 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
John ProkopD262001-05-13Yes195 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Matthew MaggioRW252002-11-25No185 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Maxim PavlenkoG252002-06-04Yes181 Lbs6 ft5NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Ondrej BecherC232004-02-22No184 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Scott MorrowD252002-11-01No210 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Seamus CaseyD232004-01-08No181 Lbs5 ft10NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Shawn ElementC/LW272000-04-23No192 Lbs6 ft0NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Simon MackD262001-03-29Yes181 Lbs5 ft10NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Sloan StanickLW242003-08-01Yes185 Lbs6 ft0NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Valtteri PuustinenLW/RW281999-06-04No182 Lbs5 ft10NoNoYes2UFAPro & Farm999,999$0$0$NoLink / NHL Link
Vyacheslav PeksaG252002-08-27Yes181 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Xavier SimoneauC262001-05-19No183 Lbs5 ft6NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2626.19190 Lbs6 ft01.54907,692$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valtteri PuustinenOndrej BecherMatthew Maggio40122
2Dylan DukeClark BishopBrendan Furry30122
3Benjamin BerardXavier SimoneauAlex Jefferies20122
4Brendan FurryOndrej BecherValtteri Puustinen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan FrischAlex Kannok-Leipert40122
2Simon MackJohn Prokop30122
3Scott MorrowChas Sharpe20122
4Simon MackAlex Kannok-Leipert10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valtteri PuustinenBenjamin BerardMatthew Maggio60122
2Dylan DukeClark BishopBrendan Furry40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Chas SharpeAlex Kannok-Leipert60122
2Simon MackJohn Prokop40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Valtteri PuustinenMatthew Maggio60122
2Clark BishopDylan Duke40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Chas SharpeAlex Kannok-Leipert60122
2Simon MackJohn Prokop40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Valtteri Puustinen60122Chas SharpeAlex Kannok-Leipert60122
2Dylan Duke40122Simon MackJohn Prokop40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Valtteri PuustinenBenjamin Berard60122
2Clark BishopDylan Duke40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Chas SharpeAlex Kannok-Leipert60122
2Simon MackJohn Prokop40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Valtteri PuustinenDylan DukeMatthew MaggioSimon MackAlex Kannok-Leipert
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Valtteri PuustinenDylan DukeMatthew MaggioSimon MackAlex Kannok-Leipert
Extra Forwards
Normal PowerPlayPenalty Kill
Valtteri Puustinen, Jackson Hallum, Benjamin BerardValtteri Puustinen, Jackson HallumBenjamin Berard
Extra Defensemen
Normal PowerPlayPenalty Kill
Alex Kannok-Leipert, Chas Sharpe, Simon MackSimon MackChas Sharpe, Simon Mack
Penalty Shots
Valtteri Puustinen, Brendan Furry, Clark Bishop, Dylan Duke, Benjamin Berard
Goalie
#1 : Maxim Pavlenko, #2 : Vyacheslav Peksa


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
43W111203111714039128800
All Games
GPWLOTWOTL SOWSOLGFGA
41201001115
Home Games
GPWLOTWOTL SOWSOLGFGA
201010058
Visitor Games
GPWLOTWOTL SOWSOLGFGA
211000067
Last 10 Games
WLOTWOTL SOWSOL
120100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1317.69%60100.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
36305102540
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
5512245.08%6413049.23%327045.71%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
916295295426


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 - 2026-09-295IceHogs3Silver Knights1LBoxScore
4 - 2026-10-0221Gulls5Silver Knights4LXBoxScore
6 - 2026-10-0439Silver Knights2Canucks4LBoxScore
8 - 2026-10-0651Silver Knights4Firebirds3WBoxScore
10 - 2026-10-0865Marlies-Silver Knights-
12 - 2026-10-1083Reign-Silver Knights-
14 - 2026-10-1289Silver Knights-Wild-
15 - 2026-10-13101Silver Knights-Admirals-
17 - 2026-10-15118Wranglers-Silver Knights-
19 - 2026-10-17134Penguins-Silver Knights-
22 - 2026-10-20151Crunch-Silver Knights-
24 - 2026-10-22161Silver Knights-Thunderbirds-
26 - 2026-10-24173Silver Knights-Monsters-
29 - 2026-10-27197Senators-Silver Knights-
32 - 2026-10-30214Comets-Silver Knights-
35 - 2026-11-02232Silver Knights-Bruins-
36 - 2026-11-03243Silver Knights-Penguins-
38 - 2026-11-05255Silver Knights-Griffins-
41 - 2026-11-08278Silver Knights-Americans-
44 - 2026-11-11298Roadrunners-Silver Knights-
46 - 2026-11-13311Admirals-Silver Knights-
48 - 2026-11-15330Canucks-Silver Knights-
50 - 2026-11-17343Stars-Silver Knights-
52 - 2026-11-19358Stars-Silver Knights-
54 - 2026-11-21369Silver Knights-Moose-
57 - 2026-11-24385Silver Knights-Condors-
60 - 2026-11-27410Silver Knights-Barracuda-
61 - 2026-11-28415Rocket-Silver Knights-
64 - 2026-12-01444Silver Knights-Reign-
66 - 2026-12-03459Roadrunners-Silver Knights-
68 - 2026-12-05472Moose-Silver Knights-
71 - 2026-12-08490Silver Knights-Rocket-
73 - 2026-12-10505Silver Knights-Senators-
75 - 2026-12-12522Silver Knights-Marlies-
79 - 2026-12-16550Barracuda-Silver Knights-
81 - 2026-12-18566Hammers-Silver Knights-
84 - 2026-12-21589Wolves-Silver Knights-
85 - 2026-12-22600Silver Knights-Gulls-
89 - 2026-12-26611Silver Knights-Barracuda-
91 - 2026-12-28619Silver Knights-Wild-
92 - 2026-12-29632Silver Knights-IceHogs-
94 - 2026-12-31646Thunderbirds-Silver Knights-
96 - 2027-01-02666Eagles-Silver Knights-
98 - 2027-01-04678Silver Knights-Eagles-
101 - 2027-01-07703Wild-Silver Knights-
103 - 2027-01-09721Firebirds-Silver Knights-
106 - 2027-01-12731Silver Knights-Bears-
108 - 2027-01-14748Silver Knights-Crunch-
110 - 2027-01-16760Silver Knights-Checkers-
111 - 2027-01-17773Silver Knights-Wolves-
114 - 2027-01-20797Condors-Silver Knights-
116 - 2027-01-22811Bruins-Silver Knights-
118 - 2027-01-24828Silver Knights-IceHogs-
120 - 2027-01-26844Silver Knights-Admirals-
122 - 2027-01-28859Americans-Silver Knights-
124 - 2027-01-30877Bears-Silver Knights-
126 - 2027-02-01882Silver Knights-Wranglers-
128 - 2027-02-03892Silver Knights-Condors-
138 - 2027-02-13924Wranglers-Silver Knights-
140 - 2027-02-15938Griffins-Silver Knights-
143 - 2027-02-18960Monsters-Silver Knights-
145 - 2027-02-20974Silver Knights-Stars-
147 - 2027-02-22989Silver Knights-Eagles-
149 - 2027-02-241001Checkers-Silver Knights-
151 - 2027-02-261017Gulls-Silver Knights-
155 - 2027-03-021046Silver Knights-Phantoms-
157 - 2027-03-041061Silver Knights-Hammers-
158 - 2027-03-051065Silver Knights-Comets-
160 - 2027-03-071086Silver Knights-Wolf Pack-
162 - 2027-03-091103Barracuda-Silver Knights-
164 - 2027-03-111116Phantoms-Silver Knights-
166 - 2027-03-131133Wolf Pack-Silver Knights-
168 - 2027-03-151146Moose-Silver Knights-
170 - 2027-03-171159Firebirds-Silver Knights-
173 - 2027-03-201184Silver Knights-Gulls-
176 - 2027-03-231206Silver Knights-Firebirds-
178 - 2027-03-251223Silver Knights-Canucks-
180 - 2027-03-271239Silver Knights-Wranglers-
184 - 2027-03-311262Canucks-Silver Knights-
186 - 2027-04-021276Condors-Silver Knights-
187 - 2027-04-031288Silver Knights-Roadrunners-
190 - 2027-04-061311Thunderbirds-Silver Knights-
192 - 2027-04-081324Silver Knights-Reign-
194 - 2027-04-101344Reign-Silver Knights-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price2515
Attendance6,0004,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 5000 - 100.00% 99,750$199,500$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
132,678$ 2,360,000$ 2,360,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 109,485$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,990,000$ 185 14,742$ 2,727,270$




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
202056212402225191207-162810100122396106-102811140100295101-65719134553640073704419220595637660195352938313751543019.48%1634572.39%2990202049.01%977208646.84%46998847.47%13239121349416735363
202182373400551289296-741201300521151142941172100030138154-1690289509798210104938727480907898922269074560619122766021.74%2575678.21%21489295850.34%1427285549.98%710137251.75%1958134619425991063536
202282353305225299305-6412013032211601471341152002004139158-1991299526825410118938127740852957931279878169419973326920.78%2816178.29%11476296249.83%1401296947.19%650137647.24%1901129019986211073526
2023812333081115225279-5442141403704114130-163991905411111149-388022540863322093586522300723720756268577973717852836322.26%3127575.96%51344262751.16%1517296751.13%647130549.58%1969135719066061051525
202482244408231193236-4341151904111101108-7419250412092128-367319334453722069565722170744726719250569149717862353615.32%2043781.86%41284254250.51%1275271746.93%571121347.07%1843125420586141060515
202582253608526220264-4441141904310100121-2141111704216120143-238122038760723068727021670696698747267471648318262454317.55%2063284.47%31205250348.14%1331281747.25%577128344.97%1816122220976311077520
2026412001001115-42010010058-32110000067-1311203100254011736305101403912881317.69%60100.00%05512245.08%6413049.23%327045.71%916295295426
Total Regular Season46916620603128152314281602-174236938901521810727762-35233731170167713701840-13947514282539396716925304464041417536454746874735154454280341210769153830219.64%142930678.59%1778431573449.85%79921654148.32%3656760748.06%10904744611449351861163014
Playoff
2022404000001220-820200000912-32020000038-501223350004621340375344156422810113323.08%12375.00%06412949.61%9115658.33%295949.15%8859101295024
Total Playoff404000001220-820200000912-32020000038-501223350004621340375344156422810113323.08%12375.00%06412949.61%9115658.33%295949.15%8859101295024