Eagles

GP: 8 | W: 8 | L: 0 | OTL: 0 | P: 16
GF: 38 | GA: 11 | PP%: 37.14% | PK%: 94.23%
GM : Sebastien Charron | Morale : 50 | Team Overall : 62

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
1Brendan Gaunce0X100.007642796887867767846866677169716550670
2Hudson Fasching0X100.007339926584818463576266616368694950650
3Riley Barber0X100.006438826575898366656164606569714050640
4Otto Koivula0X100.007965806394758264606558626065675650640
5Max Jones0X100.007449666587817362576364566366687850630
6Tanner Kero0X100.006138876271788264776558616071733450630
7Grigori Denisenko0X100.006338846670827963646558616663658350630
8Givani Smith0X100.007883516083747962575960615865677150620
9John Beecher0X100.007640855985797258635758605662647850610
10Tyler Madden0X100.006335946163848260645861556064666550610
11Cross Hanas0X100.006339776072836459605861576261637150600
12Noah Philp0X100.007441745783757356625758605765674250600
13Filip Cederqvist0X100.007440825683776954605657585663655550590
14Jake Christiansen0X100.006340806173888763306459625064664350640
15Jacob Larsson0X100.006740756679788362306358615066687650640
16Dan Renouf0X100.006741726077788357305958614969713650630
17Sean Day0X100.007740835987748556305550624665676250630
18Louie Belpedio0X100.006241675771778656305856594767695550610
19Scott Perunovich0X100.005636856765817065306653564965677150610
20Patrick Sieloff0X100.006942705478667353305551564569716050590
21Josh Brook0X100.006541725674726255305853544664666750580
Scratches
1Ryan Fitzgerald0X100.005536955264686251585253505269714750540
2Ville Koivunen0X100.005636945165776050575150525060627350540
3Eemil Viro0X100.005837915367636852305452514561636750550
TEAM AVERAGE100.00674280607778765951605858556567605061
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
1Eric Comrie100.00797172747877797877797868815750740
2Hugo Alnefelt100.00716465767069717069717062676650680
Scratches
1Calle Clang100.00685556796766686766686761656650650
TEAM AVERAGE100.0073636476727173727173726471635069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Charlie Huddy68727069948751CAN6461,000,000$


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
1Riley BarberEagles (Col)RW8581334091140204712.50%114217.872571229000002075.00%400011.8200000200
2John BeecherEagles (Col)C848123120171528112614.29%116921.202356250000300067.44%17200001.4200000021
3Jake ChristiansenEagles (Col)D87512823520102351930.43%818623.332351327000041200.00%000001.2900100101
4Hudson FaschingEagles (Col)RW8461074051032123812.50%113617.11224720000001044.44%900001.4600000030
5Tanner KeroEagles (Col)C845974041425113116.00%018723.442355190001481076.68%25300000.9600000110
6Grigori DenisenkoEagles (Col)LW85387204142341421.74%112315.44000140002150175.00%2400001.3000000112
7Jacob LarssonEagles (Col)D81672801251051510.00%514518.17033319000029100.00%000000.9600000100
8Givani SmithEagles (Col)RW833672351562551612.00%010513.130000000000100.00%200001.1400001000
9Otto KoivulaEagles (Col)LW815641610188217214.76%216320.401235200002430072.73%1100000.7400200002
10Tyler MaddenEagles (Col)C8055700117155150.00%010312.9700000000010068.67%8300000.9600000001
11Steven SantiniColorado AvalancheD3044440331330.00%16521.8101116000015000.00%000001.2200000000
12Dan RenoufEagles (Col)D8224240123112518.18%714618.35123319000032020.00%000000.5500000000
13Scott PerunovichEagles (Col)D82245402250240.00%3637.9810122000016000.00%000001.2500000010
14Patrick SieloffEagles (Col)D80115201010010.00%1486.050000000005000.00%000000.4100000000
15Louie BelpedioEagles (Col)D8011220633140.00%58310.450000000000000.00%000000.2400000000
16Sean DayEagles (Col)D801121201112320.00%28310.440000000000000.00%000000.2400000000
17Cross HanasEagles (Col)LW8000340113110.00%0253.14000000001300100.00%100000.0000000000
18Josh BrookEagles (Col)D8000000000000.00%010.130000000000000.00%000000.0000000000
Team Total or Average139386510378128201501242679526014.23%38198214.261324375819500062828371.74%55900011.0400301687
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
1Eric ComrieEagles (Col)88000.9291.3848002111560100.000080000
Team Total or Average88000.9291.3848002111560100.000080000


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
Brendan GaunceC301994-03-25No219 Lbs6 ft3NoNoNo4UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Calle ClangG212002-05-20No194 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Cross HanasLW222002-01-05No171 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Dan RenoufD291994-06-01No198 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Eemil ViroD222002-04-03No165 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Eric ComrieG281995-07-06No183 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Filip CederqvistLW232000-08-23No196 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Givani SmithRW261998-02-27No214 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Grigori DenisenkoLW232000-06-24No186 Lbs5 ft11NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Hudson FaschingRW281995-07-28No204 Lbs6 ft3NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Hugo AlnefeltG222001-06-04No177 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Jacob LarssonD271997-04-29No193 Lbs6 ft2NoNoNo1RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Jake ChristiansenD241999-09-12No193 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
John BeecherC232001-04-05No210 Lbs6 ft3NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Josh BrookD241999-06-17No182 Lbs6 ft1NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Louie BelpedioD281996-05-14No191 Lbs5 ft11NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Max JonesLW261998-02-17No216 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Noah PhilpLW251998-08-31No198 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Otto KoivulaLW251998-09-01No225 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Patrick SieloffD301994-05-15No205 Lbs6 ft1NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Riley BarberRW301994-02-07No199 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Ryan FitzgeraldLW291994-10-19No172 Lbs5 ft9NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Scott PerunovichD251998-08-18No175 Lbs5 ft10NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Sean DayD261998-01-09No218 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tanner KeroC311992-07-24No185 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Tyler MaddenC241999-11-09No152 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Ville KoivunenC202003-06-13No161 Lbs5 ft11NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.59192 Lbs6 ft12.63492,593$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Otto KoivulaTanner KeroHudson Fasching40122
2John BeecherRiley Barber30122
3Grigori DenisenkoTyler MaddenGivani Smith20122
4Cross HanasTanner KeroHudson Fasching10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Christiansen40122
2Jacob LarssonDan Renouf30122
3Sean DayLouie Belpedio20122
4Scott PerunovichPatrick Sieloff10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Otto KoivulaTanner KeroHudson Fasching60122
2John BeecherRiley Barber40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Christiansen60122
2Jacob LarssonDan Renouf40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tanner KeroOtto Koivula60122
2John Beecher40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Christiansen60122
2Jacob LarssonDan Renouf40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tanner Kero60122Jake Christiansen60122
2John Beecher40122Jacob LarssonDan Renouf40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tanner KeroOtto Koivula60122
2John Beecher40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Christiansen60122
2Jacob LarssonDan Renouf40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Otto KoivulaTanner KeroHudson FaschingJake Christiansen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Otto KoivulaTanner KeroHudson FaschingJake Christiansen
Extra Forwards
Normal PowerPlayPenalty Kill
Grigori Denisenko, Tanner Kero, Givani SmithGrigori Denisenko, Tanner KeroGrigori Denisenko
Extra Defensemen
Normal PowerPlayPenalty Kill
Scott Perunovich, Patrick Sieloff, Josh BrookScott PerunovichScott Perunovich, Patrick Sieloff
Penalty Shots
Hudson Fasching, Riley Barber, Otto Koivula, , Grigori Denisenko
Goalie
#1 : Eric Comrie, #2 : Hugo Alnefelt


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
816W838651032691563913015002
All Games
GPWLOTWOTL SOWSOLGFGA
88000003811
Home Games
GPWLOTWOTL SOWSOLGFGA
4400000217
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4400000174
Last 10 Games
WLOTWOTL SOWSOL
800000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
351337.14%52394.23%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9693800181190
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
16422174.21%15121669.91%8912968.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
255198138448649


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
2 - 2024-04-217Silver Knights2Eagles3WBoxScore
4 - 2024-04-2315Silver Knights0Eagles4WBoxScore
6 - 2024-04-2523Eagles4Silver Knights1WBoxScore
8 - 2024-04-2731Eagles4Silver Knights0WBoxScore
16 - 2024-05-0560Eagles3Canucks2WBoxScore
18 - 2024-05-0764Eagles6Canucks1WBoxScore
20 - 2024-05-0968Canucks2Eagles8WBoxScore
22 - 2024-05-1172Canucks3Eagles6WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance7,8923,957
Attendance PCT98.65%98.93%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 2962 - 98.74% 73,827$295,306$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 133,000$ 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$ 2 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
18880000003811274400000021714440000001741316386510302181190269969380015639130150351337.14%52394.23%016422174.21%15121669.91%8912968.99%255198138448649
Total Playoff880000003811274400000021714440000001741316386510302181190269969380015639130150351337.14%52394.23%016422174.21%15121669.91%8912968.99%255198138448649