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Senators
GP: 2 | W: 0 | L: 1 | OTL: 1 | P: 1
GF: 5 | GA: 9 | PP%: 30.00% | PK%: 83.33%
GM : NFHL | Morale : 96 | Team Overall : N/A
Next Games #55 vs Moose

Game Center
Grisards
3-0-1, 7pts
5
FINAL
4 Senators
0-1-1, 1pts
Team Stats
OTL1StreakL1
2-0-0Home Record0-1-1
1-0-1Home Record0-0-0
3-0-1Last 10 Games0-1-1
4.25Goals Per Game2.50
3.75Goals Against Per Game4.50
41.67%Power Play Percentage30.00%
60.00%Penalty Kill Percentage83.33%
Blossom Bytes
3-0-0, 6pts
4
FINAL
1 Senators
0-1-1, 1pts
Team Stats
W3StreakL1
1-0-0Home Record0-1-1
2-0-0Home Record0-0-0
3-0-0Last 10 Games0-1-1
5.00Goals Per Game2.50
1.33Goals Against Per Game4.50
22.73%Power Play Percentage30.00%
86.67%Penalty Kill Percentage83.33%
Senators
0-1-1, 1pts
Day 8
Moose
1-2-0, 2pts
Team Stats
L1StreakW1
0-1-1Home Record0-1-0
0-0-0Away Record1-1-0
0-1-1Last 10 Games1-2-0
2.50Goals Per Game2.00
4.50Goals Against Per Game2.00
30.00%Power Play Percentage21.43%
83.33%Penalty Kill Percentage83.33%
Norsemen
3-0-1, 7pts
Day 9
Senators
0-1-1, 1pts
Team Stats
W1StreakL1
2-0-0Home Record0-1-1
1-0-1Away Record0-0-0
3-0-1Last 10 Games0-1-1
3.50Goals Per Game2.50
2.00Goals Against Per Game2.50
40.00%Power Play Percentage30.00%
100.00%Penalty Kill Percentage83.33%
Senators
0-1-1, 1pts
Day 12
Whalers
2-2-0, 4pts
Team Stats
L1StreakW1
0-1-1Home Record1-1-0
0-0-0Away Record1-1-0
0-1-1Last 10 Games2-2-0
2.50Goals Per Game3.50
4.50Goals Against Per Game3.50
30.00%Power Play Percentage28.57%
83.33%Penalty Kill Percentage57.14%
Team Leaders
Goals
Olle Lycksell
3
Assists
Zack MacEwen
2
Points
Olle Lycksell
3
Plus/Minus
Olle Lycksell
1
Wins
Ivan Prosvetov
0
Save Percentage
Ivan Prosvetov
0.9

Team Stats
Goals For
5
2.50 GFG
Shots For
76
38.00 Avg
Power Play Percentage
30.0%
3 GF
Offensive Zone Start
35.7%
Goals Against
9
4.50 GAA
Shots Against
69
34.50 Avg
Penalty Kill Percentage
83.3%%
2 GA
Defensive Zone Start
40.3%
Team Info

General ManagerNFHL
CoachJeff Halpern
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance7,213
Season Tickets800


Roster Info

Pro Team33
Farm Team20
Contract Limit53 / 65
Prospects17


Filter Tips
PriorityTypeDescription
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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
# 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
1Aidan McDonoughXX100.0060606060607070606060606060506409600251926,100$
2Rafael Harvey-PinardXX100.00625092686875836261646167655662096002521,350,000$
3Zack MacEwenXX100.0078668566867583696165677065566409600281650,000$
4Olle LycksellXX100.0060509273627889716272706665526009600251826,875$
5Anthony RichardX100.0060508872707988696170696765686909600281650,000$
6Lucas CondottaXX100.0063508267827592647366636965405509600272650,000$
7Carter MazurXX100.0060509171657576646164646565405509600221975,000$
8Dalibor DvorskyXXX100.00605092707676906468646365654055096011921,500,000$
9Topi RonniX100.0060606060607070606060606060405509701202975,000$
10Marek Vanacker (R)X100.00606060606070706060606060604655097001831,500,000$
11Andrei Loshko (R)X100.0060606060607070606060606060485509600203750,000$
12Alex Bump (R)X100.0060606060607070606060606060445509600212700,000$
13Nolan AllanX100.00725092777482897225686575655057096002141,250,000$
14Simon LundmarkX100.00606060606070706060606060605359096002411,074,938$
15Nikolai KnyzhovX100.0060606060607070606060606060495909600261882,000$
16Michael CallahanX100.0060568962768189662567657165526209600251810,338$
17Scott MorrowX100.00605086737982916825706769654055096012211,250,000$
18Konnor Smith (R)X100.0060606060607070606060606060505509700203825,000$
Scratches
1Bradley MarekXXX100.0060606060607070606060606060445709700241682,500$
2Lucas CionaXX100.0060606060607070606060606060405509700211700,000$
3Sean TschigerlXX100.0060606060607070606060606060405509700211975,000$
4Jesse NurmiXX100.0060606060607070606060606060405509701192750,000$
5Joey Willis (R)XX100.0060606060607070606060606060465509700193750,000$
6Gavin WhiteX100.0060606060607070606060606060405509700221750,000$
7Drew BavaroX100.0060606060607070606060606060405509300241750,000$
8Theo LindsteinXX100.00606060606070706060606060604055096011921,250,000$
9Frederic BrunetXX89.0262509169758192622563617365405508701212825,000$
10Charlie Elick (R)X100.00606060606070706060606060604855097001831,250,000$
11Dominik Badinka (R)X100.00606060606070706060606060604455097001931,250,000$
TEAM AVERAGE99.626157716465737762566362636246570960
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
1Ivan Prosvetov100.006070706060606060606060526309600251826,875$
2Philip Svedeback (R)100.006070706060606060606060465509600222750,000$
Scratches
1Anson Thornton100.006070706060606060606060405509800211650,000$
2Damian Clara100.006070706060606060606060425009801192975,000$
TEAM AVERAGE100.00607070606060606060606045560970
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Halpern6477778163681USA493600,000$


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)
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")
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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
1Olle LycksellSenators (OTT)LW/RW230310035174717.65%25326.6210146000180136.00%2520011.1301000100
2Zack MacEwenSenators (OTT)LW/RW20220003012120%24120.7801136000080033.33%911000.9601000000
3Anthony RichardSenators (OTT)C20220203510340%14020.0201126000070043.90%4100001.0001000000
4Simon LundmarkSenators (OTT)D2011-120230000%13115.620000000001000%002000.6400000000
5Rafael Harvey-PinardSenators (OTT)LW/RW21010004354420.00%03015.361013600000000%200000.6500000000
6Nikolai KnyzhovSenators (OTT)D2011-160311110%24120.930111500005000%003000.4800000000
7Michael CallahanSenators (OTT)D2011-300041010%24321.960111600009000%020000.4600000000
8Lucas CondottaSenators (OTT)LW/RW21010202572714.29%14020.491011600007000%001000.4900000000
9Dalibor DvorskySenators (OTT)C/LW/RW2011000414310%23015.1801106000000044.44%2721000.6600000000
10Scott MorrowSenators (OTT)D2011000124100%54522.680111600009000%021000.4400000000
11Andrei LoshkoSenators (OTT)RW2011020312010%0178.520000000000000%011001.1700000000
12Nolan AllanSenators (OTT)D2000000274020%25628.380001600009000%00100000000000
13Aidan McDonoughSenators (OTT)LW/RW2000-420022010%13015.33000000000200100.00%10100000000000
14Carter MazurSenators (OTT)LW/RW2000-500314210%02613.290000000000000%41100000000000
15Drew BavaroSenators (OTT)D1000055100000%088.780000000000000%00000000010000
16Theo LindsteinSenators (OTT)C/D1000-100110000%01414.8500000000000038.46%131000000000000
17Frederic BrunetSenators (OTT)C/D1000-200000000%266.720000000000000%00000000000000
18Topi RonniSenators (OTT)C1000-320311010%11010.8000000000000057.14%70000000000000
19Marek VanackerSenators (OTT)LW1000020101110%055.650000000000000%00000000000000
20Konnor SmithSenators (OTT)D1000-140020110%01313.380000000000000%00000000000000
21Alex BumpSenators (OTT)LW2000000001000%094.620000000000000%00000000000000
Team Total or Average3651015-2029539447623356.58%2459916.6636917640001720140.31%1291213010.5003010100
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
1Ivan ProsvetovSenators (OTT)10010.9003.69650044017000.667311000
2Philip SvedebackSenators (OTT)10100.8624.00600042918000011000
Team Total or Average20110.8843.84125008693500322000


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
Aidan McDonoughSenators (OTT)LW/RW251999-11-06USANo190 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm926,100$891,618$92,610$89,162$No---------------------------
Alex BumpSenators (OTT)LW212003-11-20USAYes194 Lbs5 ft10NoNoProspectNoNo22025-08-30FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$--------700,000$--------No--------
Andrei LoshkoSenators (OTT)RW202004-10-07BLRYes183 Lbs5 ft11NoNoProspectNoNo32025-08-20FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Anson ThorntonSenators (OTT)G212003-06-28CANNo181 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Anthony RichardSenators (OTT)C281996-12-20CANNo185 Lbs5 ft10NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Bradley MarekSenators (OTT)C/LW/RW242000-11-13USANo212 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Carter MazurSenators (OTT)LW/RW222002-03-28USANo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Charlie ElickSenators (OTT)D182006-01-17AUTYes205 Lbs6 ft2NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Dalibor DvorskySenators (OTT)C/LW/RW192005-06-15SVKNo201 Lbs6 ft1NoNoProspectNoNo22024-08-27FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Damian ClaraSenators (OTT)G192005-01-13ITANo214 Lbs6 ft6NoNoProspectNoNo22024-08-27FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Dominik BadinkaSenators (OTT)D192005-11-27CZEYes205 Lbs6 ft1NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Drew BavaroSenators (OTT)D242000-06-10USANo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Frederic Brunet (Out of Payroll)Senators (OTT)C/D212003-08-21CANNo196 Lbs6 ft3NoNoProspectNoNo22024-08-27FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Gavin WhiteSenators (OTT)D222002-11-12CANNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Ivan ProsvetovSenators (OTT)G251999-03-05RUSNo176 Lbs6 ft5NoNoN/ANoNo12025-09-08FalseFalsePro & Farm826,875$796,087$82,688$79,609$No---------------------------
Jesse NurmiSenators (OTT)LW/RW192005-03-07FINNo172 Lbs6 ft0NoNoProspectNoNo22024-08-27FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Joey WillisSenators (OTT)C/LW192005-05-14USAYes185 Lbs5 ft9NoNoProspectNoNo32025-08-30FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Konnor SmithSenators (OTT)D202004-11-06CANYes216 Lbs6 ft4NoNoProspectNoNo32025-08-20FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Lucas CionaSenators (OTT)LW/RW212003-01-08CANNo223 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Lucas CondottaSenators (OTT)LW/RW271997-11-06CANNo218 Lbs6 ft1NoNoFree AgentNoNo22025-06-26FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Marek VanackerSenators (OTT)LW182006-04-12CANYes170 Lbs5 ft11NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Michael CallahanSenators (OTT)D251999-09-23USANo199 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm810,338$780,166$81,034$78,017$No---------------------------
Nikolai KnyzhovSenators (OTT)D261998-03-20RUSNo222 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm882,000$849,160$88,200$84,916$No---------------------------
Nolan AllanSenators (OTT)D212003-04-28CANNo195 Lbs6 ft2NoNoN/ANoNo42025-09-08FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------
Olle LycksellSenators (OTT)LW/RW251999-08-24SWENo163 Lbs5 ft10NoNoN/ANoNo12025-09-08FalseFalsePro & Farm826,875$796,087$82,688$79,609$No---------------------------
Philip SvedebackSenators (OTT)G222002-05-28SWEYes209 Lbs6 ft2NoNoProspectNoNo22025-08-30FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Rafael Harvey-PinardSenators (OTT)LW/RW251999-01-06CANNo181 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,350,000$1,299,734$135,000$129,973$No1,350,000$--------1,350,000$--------No--------
Scott MorrowSenators (OTT)D222002-11-01USANo210 Lbs6 ft2NoNoProspectNoNo12024-08-27FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Sean TschigerlSenators (OTT)LW/RW212003-04-11CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Simon LundmarkSenators (OTT)D242000-10-08SWENo201 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,074,938$1,034,914$107,494$103,492$No---------------------------
Theo LindsteinSenators (OTT)C/D192005-01-05SWENo185 Lbs6 ft0NoNoProspectNoNo22024-08-27FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$--------1,250,000$--------No--------
Topi RonniSenators (OTT)C202004-05-05FINNo185 Lbs6 ft2NoNoProspectNoNo22024-08-27FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Zack MacEwenSenators (OTT)LW/RW281996-07-08CANNo227 Lbs6 ft4NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3322.12196 Lbs6 ft11.76929,686$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Olle LycksellAnthony RichardZack MacEwen28122
2Lucas CondottaDalibor DvorskyRafael Harvey-Pinard28122
3Carter MazurTopi RonniAidan McDonough25122
4Marek VanackerOlle LycksellAndrei Loshko19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanScott Morrow28122
2Michael CallahanNikolai Knyzhov28122
3Simon LundmarkKonnor Smith25122
4Nolan AllanScott Morrow19122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Olle LycksellAnthony RichardZack MacEwen50122
2Lucas CondottaDalibor DvorskyRafael Harvey-Pinard50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanScott Morrow50122
2Michael CallahanNikolai Knyzhov50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Olle LycksellAnthony Richard50122
2Zack MacEwenLucas Condotta50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanScott Morrow50122
2Michael CallahanNikolai Knyzhov50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Olle Lycksell50122Nolan AllanScott Morrow50122
2Anthony Richard50122Michael CallahanNikolai Knyzhov50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Olle LycksellAnthony Richard50122
2Zack MacEwenLucas Condotta50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanScott Morrow50122
2Michael CallahanNikolai Knyzhov50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Olle LycksellAnthony RichardZack MacEwenNolan AllanScott Morrow
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Olle LycksellAnthony RichardZack MacEwenNolan AllanScott Morrow
Extra Forwards
Normal PowerPlayPenalty Kill
Alex Bump, Carter Mazur, Aidan McDonoughAlex Bump, Carter MazurAidan McDonough
Extra Defensemen
Normal PowerPlayPenalty Kill
Simon Lundmark, Konnor Smith, Michael CallahanSimon LundmarkKonnor Smith, Michael Callahan
Penalty Shots
Olle Lycksell, Anthony Richard, Zack MacEwen, Lucas Condotta, Dalibor Dvorsky
Goalie
#1 : Philip Svedeback, #2 : Ivan Prosvetov


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
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
1Blossom Bytes1010000014-31010000014-30000000000000.00012300122037282325329918196116.67%9188.89%0184639.13%195236.54%153148.39%422344203717
2Grisards1000000145-11000000145-10000000000010.5004812001220392823253401511204250.00%3166.67%0184639.13%195236.54%153148.39%422344203717
Total2010000159-42010000159-40000000000010.250510150012207628232536924293910330.00%12283.33%0184639.13%195236.54%153148.39%422344203717
_Since Last GM Reset2010000159-42010000159-40000000000010.250510150012207628232536924293910330.00%12283.33%0184639.13%195236.54%153148.39%422344203717
_Vs Conference2010000159-42010000159-40000000000010.250510150012207628232536924293910330.00%12283.33%0184639.13%195236.54%153148.39%422344203717
_Vs Division1000000145-11000000145-10000000000010.5004812001220392823253401511204250.00%3166.67%0184639.13%195236.54%153148.39%422344203717

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
21L151015766924293900
All Games
GPWLOTWOTL SOWSOLGFGA
201000159
Home Games
GPWLOTWOTL SOWSOLGFGA
201000159
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
010001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
10330.00%12283.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
28232531220
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
184639.13%195236.54%153148.39%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
422344203717


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
18Grisards5Senators4LXXBoxScore
536Blossom Bytes4Senators1LBoxScore
855Senators-Moose-
968Norsemen-Senators-
1288Senators-Whalers-
14100Phantoms-Senators-
17122Senators-Wolves-
18135Moose-Senators-
21155Senators-Whalers-
22161Senators-Admirals-
24176Bears-Senators-
28197Grisards-Senators-
29204Senators-Americans-
32229Senators-Americans-
34237Penguins-Senators-
37264Bulldogs-Senators-
40281Senators-Gorillas-
42290Senators-Admirals-
44304Moose-Senators-
47328Gorillas-Senators-
49339Senators-Blossom Bytes-
51358Wolf Pack-Senators-
53377Senators-Wolves-
55391Norsemen-Senators-
56402Senators-Mountaineers-
59422Titans-Senators-
61431Senators-Griffins-
63452Senators-Octopus-
66464Phantoms-Senators-
68482Senators-Gulls-
70495Senators-Wolves-
71499White Wolves-Senators-
75526Silver Knights-Senators-
78550Senators-Griffins-
80559Titans-Senators-
82575Senators-Crunch-
84590Bears-Senators-
86604Senators-Titans-
88619Bears-Senators-
90628Senators-Wolf Pack-
92646Senators-Admirals-
93660Norsemen-Senators-
96679Senators-Eagles-
97691Wolves-Senators-
100710Senators-Bills-
102720Admirals-Senators-
104734Senators-Bears-
106751Senators-Wolf Pack-
108762Americans-Senators-
110779Senators-Americans-
112793Blossom Bytes-Senators-
114809Senators-Rams-
115817Senators-Norsemen-
117827Rams-Senators-
121854Reign-Senators-
123872Senators-Eagles-
125887Rams-Senators-
126898Senators-Gulls-
128917Senators-Saints-
129925Rocket-Senators-
133951Grisards-Senators-
136972Senators-Blood Miners-
138981Senators-Penguins-
139989Americans-Senators-
1411011Whalers-Senators-
1461042Gulls-Senators-
1491065Senators-Whalers-
1501075Wolves-Senators-
1541102Penguins-Senators-
1561115Senators-Grisards-
1571132Senators-Norsemen-
1591140Phantoms-Senators-
1621164Gulls-Senators-
1641175Senators-Grisards-
1671197Blossom Bytes-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
1711222Roadrunners-Senators-
1761252Whalers-Senators-
1771258Senators-Moose-
1801275Senators-Phantoms-
1821284Redhawks-Senators-
1831287Senators-Moose-
1861307Senators-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price3414
Attendance4,37110,054
Attendance PCT87.42%91.40%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 7213 - 90.16% 173,622$347,244$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
133,504$ 2,985,464$ 2,985,464$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
19,072$ 133,504$ 32 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
6,771,258$ 181 19,072$ 3,452,032$




Senators 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

Senators Goalies Stat Leaders (Regular Season)

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

Senators 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

Senators 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

Senators Goalies Stat Leaders (Play-Off)

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