Silver Knights

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Mathieu Piette | Morale : 75 | Team Overall : 60

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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
1Eric RobinsonX100.007337956984798863536467656274733475660
2Martin PospisilX100.009256707175827966586956625967695275650
3Elmer SoderblomX100.008644856699848364596261655866674875650
4Matej BlumelX100.006537906875778667616365626766685975650
5Anthony RichardX100.006038836867858366636562616470724975640
6Ryan LombergX100.007771746966738663566160625974732775640
7Raphael LavoieX100.007841836590897863586064626566687275640
8Mackenzie MacEachernX100.007241706279817261596763616372743975630
9Brendan LemieuxXX100.007874535880776757545659555871701175600
10Bokondji ImamaX100.007585555882688056505255575970723975590
11Tristen RobinsX100.005737885866807857615956545864661175590
12Brendan PerliniXX100.004040404040404040404040404040401175420
13Tyler TuckerX100.007464676578838463306860675166684775640
14Egor ZamulaX100.007137956483827865307155635066684275640
15Christian WolaninX100.006939836478778163306755604871734775630
16Kyle CapobiancoX100.007041746582817962306859615269715575630
17Jake ChristiansenX100.006738956474798065306652614967693775620
18Jimmy SchuldtX100.006939795778808756305553604771733475600
Scratches
1Justin HryckowianX100.007142866972828966826865716466674275660
2Adam EdstromX100.007753906799747663556061646265684775640
3Sean FarrellX100.005536946365818662676460616365675675620
4Parker FordX100.006637815966828158605759645666684275610
5Tyler AngleX100.005537885964757158626055545666684775590
6Zack KassianXX100.004040404040404040404040404040401175420
7Samuel KnazkoX100.006838925877647855305754564663651175590
8Xavier OuelletX100.004040404040404040404040404040401175420
TEAM AVERAGE100.00674577617374765950605759556566387560
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Sebastian Cossa100.00788783987776787776787764718275660
2Zach Fucale100.00404040404040404040404040401175450
Scratches
1Magnus Chrona100.00738177857271737271737266754775630
TEAM AVERAGE100.0064696774636264636264635762477558
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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


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
Adam EdstromC242000-10-12No232 Lbs6 ft7NoNoNo2RFAPro & Farm975,000$0$0$NoLink / NHL Link
Anthony RichardC281996-12-20No185 Lbs5 ft10NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Bokondji ImamaLW291996-08-03No223 Lbs6 ft1YesNoNo3UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Brendan LemieuxLW/RW291996-03-15No215 Lbs6 ft1NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Brendan PerliniLW/RW291996-04-27No211 Lbs6 ft3NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Christian WolaninD301995-03-17No190 Lbs6 ft2NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Egor ZamulaD252000-03-30No200 Lbs6 ft3NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Elmer SoderblomLW242001-07-05No252 Lbs6 ft8NoNoNo1RFAPro & Farm878,333$0$0$NoLink / NHL Link
Eric RobinsonLW301995-06-14No220 Lbs6 ft2YesNoNo3UFAPro & Farm1,500,000$0$0$NoLink / NHL Link
Jake ChristiansenD261999-09-12No199 Lbs6 ft0NoNoNo4RFAPro & Farm975,000$0$0$NoLink / NHL Link
Jimmy SchuldtD301995-05-11No203 Lbs6 ft1NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Justin HryckowianC242001-02-23No198 Lbs5 ft11NoNoNo2RFAPro & Farm870,000$0$0$NoLink / NHL Link
Kyle CapobiancoD281997-08-13No194 Lbs6 ft3NoNoNo1UFAPro & Farm762,500$0$0$NoLink / NHL Link
Mackenzie MacEachernLW311994-03-09No193 Lbs6 ft2NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Magnus ChronaG252000-08-28No194 Lbs6 ft4NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Martin PospisilLW251999-11-19No173 Lbs6 ft2NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Matej BlumelRW252000-05-31No202 Lbs6 ft0NoNoNo4RFAPro & Farm775,000$0$0$NoLink / NHL Link
Parker FordC252000-07-20No181 Lbs5 ft9NoNoNo2RFAPro & Farm812,500$0$0$NoLink / NHL Link
Raphael LavoieC242000-09-25No217 Lbs6 ft4NoNoNo1RFAPro & Farm775,000$0$0$NoLink / NHL Link
Ryan LombergLW301994-12-09No184 Lbs5 ft9YesNoNo4UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Samuel KnazkoD232002-08-07No198 Lbs6 ft1NoNoNo1RFAPro & Farm847,500$0$0$NoLink / NHL Link
Sean FarrellC232001-11-02No175 Lbs5 ft9NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Sebastian CossaG222002-11-21No229 Lbs6 ft6NoNoNo2ELCPro & Farm863,334$0$0$NoLink / NHL Link
Tristen RobinsC232001-11-15No176 Lbs5 ft10NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Tyler AngleC242000-09-30No166 Lbs5 ft10NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Tyler TuckerD252000-03-01No204 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Xavier OuelletD321993-07-29No199 Lbs6 ft0NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Zach FucaleG301995-05-28No189 Lbs6 ft2NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Zack KassianLW/RW341991-01-24No211 Lbs6 ft3NoNoNo1UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2926.79200 Lbs6 ft11.28612,385$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony RichardMatej Blumel40122
2Martin PospisilRaphael LavoieBrendan Lemieux30122
3Eric RobinsonTristen RobinsElmer Soderblom20122
4Elmer SoderblomMartin Pospisil10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Egor ZamulaJake Christiansen40122
2Christian WolaninKyle Capobianco30122
3Tyler TuckerJimmy Schuldt20122
4Egor ZamulaJake Christiansen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony RichardMatej Blumel60122
2Martin PospisilRaphael LavoieBrendan Lemieux40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Egor ZamulaJake Christiansen60122
2Christian WolaninKyle Capobianco40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Martin Pospisil60122
2Eric RobinsonElmer Soderblom40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Egor ZamulaJake Christiansen60122
2Christian WolaninKyle Capobianco40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Egor ZamulaJake Christiansen60122
2Martin Pospisil40122Christian WolaninKyle Capobianco40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Martin Pospisil60122
2Eric RobinsonElmer Soderblom40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Egor ZamulaJake Christiansen60122
2Christian WolaninKyle Capobianco40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Anthony RichardMatej BlumelEgor ZamulaJake Christiansen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Anthony RichardMatej BlumelEgor ZamulaJake Christiansen
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Lomberg, Mackenzie MacEachern, Bokondji ImamaRyan Lomberg, Mackenzie MacEachernBokondji Imama
Extra Defensemen
Normal PowerPlayPenalty Kill
Tyler Tucker, Jimmy Schuldt, Christian WolaninTyler TuckerJimmy Schuldt, Christian Wolanin
Penalty Shots
, Martin Pospisil, Eric Robinson, Elmer Soderblom, Anthony Richard
Goalie
#1 : Sebastian Cossa, #2 : Zach Fucale
Custom OT Lines Forwards
, Martin Pospisil, Eric Robinson, Elmer Soderblom, Anthony Richard, Matej Blumel, Matej Blumel, Ryan Lomberg, Mackenzie MacEachern, Raphael Lavoie, Bokondji Imama
Custom OT Lines Defensemen
Egor Zamula, Jake Christiansen, Christian Wolanin, Kyle Capobianco, Tyler Tucker


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
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3717
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,775,916$ 1,775,916$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 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
201982363102535247243441181501322120123-34118160121312712079224745470115100697372959943972100962277179667019462394217.57%2805181.79%21589309851.29%1530295751.74%627122251.31%2001140419305901037522
2020824323038233302864441211103402159129304122120042117115714107330608938231261069383039994102098459294388346619602385422.69%2144977.10%21609305352.70%1639304853.77%764142253.73%2031143018915841043529
20218252140853040629810841266063002071525541268022301991465313140674411501001611359936550120911771215320192060521162787125.54%2444681.15%21760335652.44%1584315650.19%803146055.00%2057148618905681013513
2022824125095114173665141201702110207179284121807401210187231084177921209000172128107433301386143314734163119169925832656624.91%2937275.43%31663374544.41%1775389745.55%694151945.69%182712922148581977462
2023824026041011379330494123100070119415935411716043101851711410137967710564101551259435160111511911188328094165822702818630.60%2986677.85%11858329156.46%1794325955.05%793143555.26%2179158217695481006525
202482254603710393445-5241162002210202210-84192601500191235-4465393733112630014713810436360117912641173363498472524112876723.34%2988272.48%11687327551.51%1411278050.76%797157350.67%204714981936529957483
202582274207411332380-4841151905011166178-1241122302400166202-36753326269584001211178631710104910571041325092666522972677126.59%2877573.87%21569302551.87%1477280152.73%751145451.65%209815181864533990508
Total Regular Season574264207036441211250423481562871399801920561255113012528712510901724751249121831679250446347138159226931809505243091937793081156211232426641448815583185545724.64%191444176.96%13117352284351.37%112102189851.19%52291008551.85%142441021213431393670263546
Playoff
2019514000001422-820200000611-531200000811-321425390074212036577556224696411126726.92%22481.82%010722248.20%7919141.36%397452.70%11477127346131
2021734000002933-44220000019190312000001014-4629578610013883250126104953541206720914535.71%33778.79%011729140.21%15633047.27%5912846.09%154109182488238
20221156000004344-15320000023176624000002027-71043811240001716946201371631594871509130130826.67%37878.38%014241933.89%14945732.60%6918537.30%2041353288313459
2023514000001922-32020000058-3312000001414021936551009551980826056189644412118316.67%20385.00%010420151.74%8619344.56%429345.16%11682125355928
Total Playoff28101800000105121-161358000005355-215510000005266-14201051993042074331231188654223823161254403266742882326.14%1122280.36%0470113341.48%470117140.14%20948043.54%589404764201339157