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 : 61

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
1Eric RobinsonX100.007337956984798863536467656274733475660
2Elmer SoderblomX100.008644856699848364596261655866674875650
3Matej BlumelX100.006537906875778667616365626766685975650
4Ryan LombergX100.007771746966738663566160625974732775640
5Raphael LavoieX100.007841836590897863586064626566687275640
6Bokondji ImamaX100.007585555882688056505255575970723975590
7Tyler TuckerX100.007464676578838463306860675166684775640
8Christian WolaninX100.006939836478778163306755604871734775630
9Kyle CapobiancoX100.007041746582817962306859615269715575630
10Jake ChristiansenX100.006738956474798065306652614967693775620
Scratches
1Justin HryckowianX100.007142866972828966826865716466674275660
2Walker Duehr (R)X100.007838926782808363565864626669713675650
3Adam EdstromX100.007753906799747663556061646265684775640
4Aidan McDonough (R)X100.007241856481887563656167626466694275640
5Olle Lycksell (R)X100.006237906572878164676663616467694275640
6Sean FarrellX100.005536946365818662676460616365675675620
7Luke Haymes (R)X100.006637916376818658646259615763654475620
8Parker FordX100.006637815966828158605759645666684275610
9Jack Williams (R)X100.005836945969838757625856615564664375600
10Coulson Pitre (R)X100.006538925774707656535554585662646775590
11Noel Nordh (R)X100.007138955680648255505453575261636675590
12Andrew Basha (R)X100.005841685667656955575453525661637475560
13Zack KassianXX100.004040404040404040404040404040404075420
14Sam Malinski (R)X100.006534937170879067307564665368693675670
15Mike Benning (R)X100.005737816568858464306662605264666175630
16Maksymilian Szuber (R)X100.007242736181708458306056594864664875610
17Will Zmolek (R)X100.007539955884637156305453574567693775600
18Samuel KnazkoX100.004040404040404040404040404040404075420
TEAM AVERAGE100.00674381627575796050605860566566477561
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
1Sebastian Cossa100.00788783987776787776787764718275660
Scratches
1Magnus Chrona100.00738177857271737271737266754775630
2Owen Say (R)100.00677874776665676665676665734275600
3Isak Posch (R)100.00648278856362646362646364714375580
4Vyacheslav Buteyets (R)100.00567268905554565554565564714875540
TEAM AVERAGE100.0068807687676668676668676572527560
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 EdstromC252000-10-12No232 Lbs6 ft7NoNoNo2RFAPro & Farm975,000$0$0$NoLink / NHL Link
Aidan McDonoughLW261999-11-06Yes190 Lbs6 ft3NoNoNo2RFAPro & Farm700,000$0$0$NoLink / NHL Link
Andrew BashaLW202005-11-08Yes174 Lbs5 ft11NoNoNo2ELCPro & Farm865,000$0$0$NoLink / NHL Link
Bokondji ImamaLW301996-08-03No223 Lbs6 ft1NoNoNo3UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Christian WolaninD311995-03-17No190 Lbs6 ft2NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Coulson PitreRW212004-12-13Yes185 Lbs6 ft1NoNoNo2ELCPro & Farm858,334$0$0$NoLink / NHL Link
Elmer SoderblomLW252001-07-05No252 Lbs6 ft8NoNoNo1RFAPro & Farm878,333$0$0$NoLink / NHL Link
Eric RobinsonLW311995-06-14No220 Lbs6 ft2NoNoNo3UFAPro & Farm1,500,000$0$0$NoLink / NHL Link
Isak PoschG242002-01-31Yes209 Lbs6 ft3NoNoNo2RFAPro & Farm872,500$0$0$NoLink / NHL Link
Jack WilliamsC242002-03-02Yes185 Lbs5 ft11NoNoNo2RFAPro & Farm923,750$0$0$NoLink / NHL Link
Jake ChristiansenD271999-09-12No199 Lbs6 ft0NoNoNo4RFAPro & Farm975,000$0$0$NoLink / NHL Link
Justin HryckowianC252001-02-23No198 Lbs5 ft11NoNoNo2RFAPro & Farm870,000$0$0$NoLink / NHL Link
Kyle CapobiancoD291997-08-13No194 Lbs6 ft3NoNoNo1UFAPro & Farm762,500$0$0$NoLink / NHL Link
Luke HaymesC232003-07-28Yes192 Lbs6 ft1NoNoNo2RFAPro & Farm875,000$0$0$NoLink / NHL Link
Magnus ChronaG262000-08-28No194 Lbs6 ft4NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Maksymilian SzuberD242002-08-25Yes190 Lbs6 ft3NoNoNo2RFAPro & Farm859,167$0$0$NoLink / NHL Link
Matej BlumelRW262000-05-31No202 Lbs6 ft0NoNoNo4RFAPro & Farm775,000$0$0$NoLink / NHL Link
Mike BenningD242002-01-05Yes185 Lbs5 ft9NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Noel NordhLW212005-01-25Yes196 Lbs6 ft2NoNoNo2ELCPro & Farm835,000$0$0$NoLink / NHL Link
Olle LycksellRW271999-08-24Yes197 Lbs5 ft11NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Owen SayG252001-06-05Yes185 Lbs6 ft2NoNoNo2RFAPro & Farm872,500$0$0$NoLink / NHL Link
Parker FordC262000-07-20No181 Lbs5 ft9NoNoNo2RFAPro & Farm812,500$0$0$NoLink / NHL Link
Raphael LavoieC252000-09-25No217 Lbs6 ft4NoNoNo1RFAPro & Farm775,000$0$0$NoLink / NHL Link
Ryan LombergLW311994-12-09No184 Lbs5 ft9NoNoNo4UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Sam MalinskiD281998-07-27Yes190 Lbs5 ft11NoNoNo2UFAPro & Farm1,400,000$0$0$NoLink / NHL Link
Samuel KnazkoD242002-08-07No198 Lbs6 ft1NoNoNo1RFAPro & Farm847,500$0$0$NoLink / NHL Link
Sean FarrellC242001-11-02No175 Lbs5 ft9NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Sebastian CossaG232002-11-21No229 Lbs6 ft6NoNoNo2RFAPro & Farm863,334$0$0$NoLink / NHL Link
Tyler TuckerD262000-03-01No204 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Vyacheslav ButeyetsG242002-05-29Yes220 Lbs6 ft4NoNoNo2RFAPro & Farm852,500$0$0$NoLink / NHL Link
Walker DuehrRW281997-11-23Yes210 Lbs6 ft2NoNoNo2UFAPro & Farm775,000$0$0$NoLink / NHL Link
Will ZmolekD271999-04-17Yes205 Lbs6 ft3NoNoNo2RFAPro & Farm700,000$0$0$NoLink / NHL Link
Zack KassianLW/RW351991-01-24No211 Lbs6 ft3NoNoNo1UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3325.91200 Lbs6 ft12.03930,240$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matej Blumel40122
2Raphael Lavoie30122
3Eric RobinsonElmer Soderblom20122
4Elmer Soderblom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Christiansen40122
2Christian WolaninKyle Capobianco30122
3Tyler Tucker20122
4Jake Christiansen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matej Blumel60122
2Raphael Lavoie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Christiansen60122
2Christian WolaninKyle Capobianco40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Eric RobinsonElmer Soderblom40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Christiansen60122
2Christian WolaninKyle Capobianco40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Jake Christiansen60122
240122Christian WolaninKyle Capobianco40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Eric RobinsonElmer Soderblom40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Christiansen60122
2Christian WolaninKyle Capobianco40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matej BlumelJake Christiansen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matej BlumelJake Christiansen
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Lomberg, , Bokondji ImamaRyan Lomberg, Bokondji Imama
Extra Defensemen
Normal PowerPlayPenalty Kill
Tyler Tucker, , Christian WolaninTyler Tucker, Christian Wolanin
Penalty Shots
, , Eric Robinson, Elmer Soderblom,
Goalie
#1 : Sebastian Cossa, #2 :
Custom OT Lines Forwards
, , Eric Robinson, Elmer Soderblom, , Matej Blumel, Matej Blumel, Ryan Lomberg, , Raphael Lavoie, Bokondji Imama
Custom OT Lines Defensemen
, 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
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



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$ 3,069,792$ 3,069,792$ 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