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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 : 60
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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 Team19
Farm Team22
Contract Limit41 / 250
Prospects44


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)
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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
1Justin BaileyX100.00685190638260555945555660458164040650302750,000$
2Aydar Suniev (R)X100.00455090667380305637505060305354040610213870,000$
3Nicholas AbruzzeseX100.00455090636160555530605050306469040590261775,000$
4Zach DeanX100.00555072636260555544505052305750040580222892,500$
5Matthew PhillipsX100.00465090634760555545555052416857040580275775,000$
6Isaac RatcliffeX100.00555063638560555530505050306153040580261825,000$
7Riley BarberX100.00455076636760555530505050307647040570311800,000$
8Joshua Ho-SangX100.00414555636260555530505050305657040560293700,000$
9Ivan ChekhovichX100.00414555635860555530505050305654040560261750,000$
10Riley DamianiX100.00435082635560555530505050306050040560252775,000$
11Jimmy SchuldtX100.00635090677179335535505158317458040640302750,000$
12Luca Cagnoni (R)X100.00475055665483316136645058315362040630213870,000$
13Akito HiroseX100.00535090636160555531505055306353040600262950,000$
14Calle RosenX100.00465081636860555531505052307859040600311750,000$
15Ashton SautnerX100.00414555636960555530505050305659040570311700,000$
16Ben GleasonX100.00414555636760555530505050305655040570275775,000$
Scratches
TEAM AVERAGE100.0048497464656451563452505332635604059
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 Patera100.0068306584558364555261566060040640262817,500$
2Olivier Rodrigue (R)100.0068377468865562595052505757040630252775,000$
3Jakub Skarek (R)100.0068327387555562555052505857040590261775,000$
Scratches
TEAM AVERAGE100.006833718065646356515552585804062
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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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)D261999-04-09CANNo170 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------
Ashton SautnerSwords (TOR)D311994-05-27CANNo195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$700,000$0$0$No---------------------------
Aydar SunievSwords (TOR)LW212004-11-16CANYes198 Lbs6 ft2NoNoProspectNoNo32025-07-22FalseFalsePro & Farm870,000$870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------
Ben GleasonSwords (TOR)D271998-03-25CANNo185 Lbs6 ft1NoNoN/ANoNo52025-09-03FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Calle RosenSwords (TOR)D311994-02-02CANNo188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------
Isaac RatcliffeSwords (TOR)LW261999-02-15CANNo200 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm825,000$825,000$0$0$No---------------------------
Ivan ChekhovichSwords (TOR)LW261999-01-04CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------
Jakub SkarekSwords (TOR)G261999-11-10CANYes211 Lbs6 ft4NoNoProspectNoNo12025-09-03FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------
Jimmy SchuldtSwords (TOR)D301995-05-11CANNo203 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------
Jiri PateraSwords (TOR)G261999-02-24CANNo212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm817,500$817,500$0$0$No817,500$--------817,500$--------No--------
Joshua Ho-SangSwords (TOR)RW291996-01-22CANNo173 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm700,000$700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Justin BaileySwords (TOR)RW301995-07-01CANNo214 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------
Luca CagnoniSwords (TOR)D212004-12-21CANYes180 Lbs5 ft9NoNoProspectNoNo32025-07-22FalseFalsePro & Farm870,000$870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------
Matthew PhillipsSwords (TOR)C271998-04-06CANNo160 Lbs5 ft8NoNoN/ANoNo52025-09-03FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Nicholas AbruzzeseSwords (TOR)C261999-06-04CANNo183 Lbs5 ft11NoNoN/ANoNo12024-08-28FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------
Olivier RodrigueSwords (TOR)G252000-07-06CANYes158 Lbs6 ft1NoNoProspectNoNo22025-09-03FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------
Riley BarberSwords (TOR)LW311994-01-01CANNo199 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------
Riley DamianiSwords (TOR)C252000-03-20CANNo170 Lbs5 ft10NoNoN/ANoNo22024-08-28FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------
Zach DeanSwords (TOR)C222003-01-04CANNo176 Lbs6 ft0NoNoProspectNoNo22024-08-08FalseFalsePro & Farm892,500$892,500$0$0$No892,500$--------892,500$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1926.63187 Lbs6 ft12.11793,421$



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 :


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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
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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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 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 Salaries CapCoaches 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