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Swords
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : David Lessard | Morale : 40 | Team Overall : 61
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Team Leaders

Team Stats
Team Info

General ManagerDavid Lessard
DivisionDivision 5
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team21
Farm Team20
Contract Limit41 / 250
Prospects44


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 SPAgeContractSalary
1Jansen HarkinsX100.00706082687368595550595457566958040640275800,000$
2Oskar SteenX100.00795090636169485550535558466657040630261800,000$
3Nicholas AbruzzeseX100.00485090736160555531655050306272040620252775,000$
4Matthew PhillipsX100.00495090634870475650605557466660040610261750,000$
5Isaac RatcliffeX100.00585063738560555530505050305956040600252825,000$
6Riley BarberX100.00485076736760555530505050307450040590302800,000$
7Zach Dean (R)X100.00585072626276305549505157325553040590213892,500$
8Joshua Ho-SangX100.00444555736260555530505050305460040580284700,000$
9Marcus SorensenX100.004445557359605555305050503054640405803211,500,000$
10Riley DamianiX100.00465082735560555531505050305853040580243775,000$
11Ivan ChekhovichX100.00444555735860555530505050305457040570252750,000$
12Zac JonesX100.00565188675775445540675962376463040660243800,000$
13Jacob MoverareX100.00525188637870375540525663356457040640261750,000$
14Gustav OlofssonX100.00455090637380305538505065308059040630301700,000$
15Akito HiroseX100.00565090636177305536505060306156040620253950,000$
16Calle RosenX100.00495081636878305536555057317662040620302750,000$
17Ashton SautnerX100.00444555736960555530505050305462040590302700,000$
18Ben GleasonX100.00444555736760555530505050305458040590261775,000$
19Jimmy SchuldtX100.00444555737160555530505050305461040590293750,000$
Scratches
TEAM AVERAGE100.0051497469656648553653525534625904061
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 SPAgeContractSalary
1Jiri Patera100.006337888455866755556459596304066N0253817,500$
2Hugo Alnefelt100.0062306574835550555052505353040600231842,500$
Scratches
TEAM AVERAGE100.006334777969715955535855565804063
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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Akito HiroseSwords (TOR)D251999-04-09No170 Lbs6 ft0NoNoN/ANoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$-------NoNo-------
Ashton SautnerSwords (TOR)D301994-05-27No195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$700,000$0$0$No700,000$--------No--------
Ben GleasonSwords (TOR)D261998-03-25No185 Lbs6 ft1NoNoN/ANoNo1Pro & Farm775,000$775,000$0$0$No------------------
Calle RosenSwords (TOR)D301994-02-02No188 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Gustav OlofssonSwords (TOR)D301994-12-01No199 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$700,000$0$0$No------------------
Hugo AlnefeltSwords (TOR)G232001-06-04No177 Lbs6 ft2NoNoN/ANoNo1Pro & Farm842,500$842,500$0$0$No------------------
Isaac RatcliffeSwords (TOR)LW251999-02-15No200 Lbs6 ft6NoNoN/ANoNo2Pro & Farm825,000$825,000$0$0$No825,000$--------No--------
Ivan ChekhovichSwords (TOR)LW251999-01-04No185 Lbs5 ft10NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Jacob MoverareSwords (TOR)D261998-08-31No210 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Jansen HarkinsSwords (TOR)C271997-05-23No197 Lbs6 ft2NoNoN/ANoNo52024-08-28Pro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$800,000$-----NoNoNoNo-----
Jimmy SchuldtSwords (TOR)D291995-05-11No205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Jiri PateraSwords (TOR)G251999-02-24No212 Lbs6 ft3YesNoN/ANoNo3Pro & Farm817,500$817,500$0$0$No817,500$817,500$-------YesYes-------
Joshua Ho-SangSwords (TOR)RW281996-01-22No173 Lbs6 ft0NoNoN/ANoNo4Pro & Farm700,000$700,000$0$0$No700,000$700,000$700,000$------NoNoNo------
Marcus SorensenSwords (TOR)RW321992-04-07No175 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,500,000$1,500,000$0$0$No------------------
Matthew PhillipsSwords (TOR)C261998-04-06No160 Lbs5 ft8NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Nicholas AbruzzeseSwords (TOR)C251999-06-04No183 Lbs5 ft11NoNoN/ANoNo22024-08-28Pro & Farm775,000$775,000$0$0$No775,000$--------No--------
Oskar SteenSwords (TOR)C261998-03-09No196 Lbs5 ft10NoNoN/ANoNo1Pro & Farm800,000$800,000$0$0$No------------------
Riley BarberSwords (TOR)LW301994-01-01No199 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$800,000$0$0$No800,000$--------No--------
Riley DamianiSwords (TOR)C242000-03-20No170 Lbs5 ft10NoNoN/ANoNo32024-08-28Pro & Farm775,000$775,000$0$0$No775,000$775,000$-------NoNo-------
Zac JonesSwords (TOR)D242000-10-18No176 Lbs5 ft10NoNoN/ANoNo32024-08-28Pro & Farm800,000$800,000$0$0$No800,000$800,000$-------NoNo-------
Zach DeanSwords (TOR)C212003-01-04Yes176 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-08-08Pro & Farm892,500$892,500$0$0$No892,500$892,500$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2126.52187 Lbs6 ft02.19819,167$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
134122
2Riley Barber30122
3Nicholas Robertson26122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
134122
230122
326122
4Ashton Sautner10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
151122
2Riley Barber49122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
151122
249122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15112251122
24912249122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
151122
249122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , Ashton Sautner, Ashton Sautner
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


Filter Tips
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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
OverallHomeVisitor
# VS Team 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 PCT 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
0000000000000
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%000%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%000%000%
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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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 Price350
Attendance0%0%
Attendance PCT0%0%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 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$




Swords Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Swords Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Swords Career Team Stats

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

Swords Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Swords Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA