Please rotate your device to landscape mode for a better experience.
Login

Checkers
GP: 11 | W: 8 | L: 3 | OTL: 0 | P: 16
GF: 35 | GA: 19 | PP%: 25.64% | PK%: 85.37%
GM : Alex Loignon | Morale : 70 | Team Overall : 65
Next Games #196 vs Firebird

Game Center
Firebird
5-6-0, 10pts
4
6 Checkers
8-3-0, 16pts
Team Stats
L3StreakW2
3-3-0Home Record5-1-0
2-3-0Home Record3-2-0
4-6-0Last 10 Games7-3-0
2.82Goals Per Game3.18
2.82Goals Against Per Game1.73
24.00%Power Play Percentage25.64%
78.38%Penalty Kill Percentage85.37%
Checkers
8-3-0, 16pts
4
0 Admirals
7-2-3, 17pts
Team Stats
W2StreakOTW1
5-1-0Home Record4-1-1
3-2-0Home Record3-1-2
7-3-0Last 10 Games6-1-3
3.18Goals Per Game3.17
1.73Goals Against Per Game2.92
25.64%Power Play Percentage21.15%
85.37%Penalty Kill Percentage81.58%
Checkers
8-3-0, 16pts
Day 28
Firebird
5-6-0, 10pts
Team Stats
W2StreakL3
5-1-0Home Record3-3-0
3-2-0Away Record2-3-0
7-3-0Last 10 Games4-6-0
3.18Goals Per Game2.82
1.73Goals Against Per Game2.82
25.64%Power Play Percentage24.00%
85.37%Penalty Kill Percentage78.38%
Checkers
8-3-0, 16pts
Day 29
Roadrunners
3-8-1, 7pts
Team Stats
W2StreakW1
5-1-0Home Record1-4-1
3-2-0Away Record2-4-0
7-3-0Last 10 Games3-6-1
3.18Goals Per Game2.75
1.73Goals Against Per Game2.75
25.64%Power Play Percentage11.11%
85.37%Penalty Kill Percentage64.86%
Admirals
7-2-3, 17pts
Day 32
Checkers
8-3-0, 16pts
Team Stats
OTW1StreakW2
4-1-1Home Record5-1-0
3-1-2Away Record3-2-0
6-1-3Last 10 Games7-3-0
3.17Goals Per Game3.18
2.92Goals Against Per Game3.18
21.15%Power Play Percentage25.64%
81.58%Penalty Kill Percentage85.37%
Team Leaders
Goals
Bradly Nadeau
5
Assists
Theo Lindstein
9
Points
Bradly Nadeau
12
Plus/Minus
Theo Lindstein
10
Wins
Sergei Murashov
8
Save Percentage
Sergei Murashov
0.925

Team Stats
Goals For
35
3.18 GFG
Shots For
297
27.00 Avg
Power Play Percentage
25.6%
10 GF
Offensive Zone Start
40.3%
Goals Against
19
1.73 GAA
Shots Against
254
23.09 Avg
Penalty Kill Percentage
85.4%%
6 GA
Defensive Zone Start
38.7%
Team Info

General ManagerAlex Loignon
CoachMark French
DivisionCentral
ConferenceConference Ouest
Captain
Assistant #1Bradly Nadeau
Assistant #2


Arena Info

Capacity3,000
Attendance3,000
Season Tickets300


Roster Info

Pro Team29
Farm Team19
Contract Limit48 / 99
Prospects61


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
1Adam Beckman0XX100.0066589969748583675569726366656561706702521,699,000$
2Jamieson Rees0XX100.0082725972707379677970656665676654706702541,740,000$
3Jansen Harkins0XXX100.007843857177788265816766636571705870670291994,000$
4Jacob Peterson0XX100.0045199968748186666262726369727141706602731,215,000$
5Bradly Nadeau (A)0XXX100.006660847370728268486271646660586970660212900,000$
6Aleksanteri Kaskimaki (R)0X100.005832717061747668626968656962687870660222900,000$
7Ryan Suzuki0XX100.0072659166746374657969686465676558706502521,382,000$
8Matvei Gridin (R)0XX100.006032766862778167467265637164658270650203900,000$
9Mackie Samoskevich0XX100.0074688965736671676165666461626168706402331,365,000$
10Ozzy Wiesblatt0XXX100.007263856870788565496260645865667570640241900,000$
11Danila Klimovich0XX100.0064638961776581566558596563626055706102331,139,000$
12Egor Afanasyev0XXX100.0082479263807090545445556759686855706102521,190,000$
13Shakir Mukhamadullin0X100.006840947482897071257262695867657870690241900,000$
14Joe Hicketts0X100.0062259962707287562539469925686843706903011,800,000$
15Zayne Parekh (R)0X100.006032777062798363466758745664677770670203900,000$
16Theo Lindstein (R)0X100.006232777064778360456658765564677670670213900,000$
17Santeri Hatakka0X100.0050219965757368713080596756696841706602521,253,000$
18Kirill Kirsanov (R)0X100.006738826668808458456353745066667170660242900,000$
Scratches
1Benjamin Kindel (R)0XX100.005830766760727065466666636964658270630193900,000$
2Cole Eiserman (R)0X100.005935716260667065467662606658628270620203900,000$
3Samuel Huo0X100.006740706268677361456958705357587070620251900,000$
4Alexandre Loignon0XX100.00544976658162705055505062606363777057N2262575,000$
5Calen Addison0X100.0041209965747277573055496354757757706202611,085,000$
6Michael Vukojevic0X100.0057418459806977583059506147727254706202511,029,000$
7Gustav Stjernberg (R)0X100.006750635866677356456358665055586970610242590,000$
TEAM AVERAGE100.00644383667173786350646167596566657064
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
1Sergei Murashov (R)0100.00707574767678767678777563677470730222900,000$
2Arsenii Sergeev (R)0100.00706968677070707070696764637070680232900,000$
Scratches
1Roddy Ross0100.006971706769696968696866606267706702611,225,000$
2Scott Ratzlaff (R)0100.00706867637068686970676660627170660213900,000$
TEAM AVERAGE100.0070717068717171717270696264717069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mark French64859157929845CAN551500,000$


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
1Bradly NadeauCheckers (FLO)C/LW/RW1157128408203481914.71%123621.522139340000312131.82%2200001.0100000111
2Jansen HarkinsCheckers (FLO)C/LW/RW115712860212725101820.00%120418.60112734000002060.26%22900001.1700000111
3Theo LindsteinCheckers (FLO)D112911100018141231016.67%1321719.73156827000037000%000001.0100000101
4Santeri HatakkaCheckers (FLO)D11268360716141614.29%1222420.43011733000014000%000000.7100000010
5Zayne ParekhCheckers (FLO)D1117801601811147197.14%823121.011561027000030100%000000.6900000000
6Jacob PetersonCheckers (FLO)C/LW11437-20001024131616.67%019117.422138290000112042.86%2100000.7300000101
7Kirill KirsanovCheckers (FLO)D111678100151061316.67%1017616.0400003000034000%000000.7900000001
8Adam BeckmanCheckers (FLO)LW/RW114268207104410219.09%220919.011121134000011073.33%1500000.5700000020
9Aleksanteri KaskimakiCheckers (FLO)C112463206181362315.38%213111.981344290001280045.39%15200000.9100000100
10Matvei GridinCheckers (FLO)LW/RW11246-200492810227.14%217916.33123112900000009.09%1100000.6700000001
11Mackie SamoskevichCheckers (FLO)C/RW11145360781051010.00%112611.5000000000020157.14%700000.7900000001
12Ryan SuzukiCheckers (FLO)C/LW11314400811146721.43%112711.5800011000000052.21%11300100.6300000100
13Jamieson ReesCheckers (FLO)C/LW11123-21003131195125.26%118616.99000000002350058.72%21800000.3200000000
14Shakir MukhamadullinCheckers (FLO)D1103321801613118220%1023221.1500043500003000%000000.2600000000
15Ozzy WiesblattCheckers (FLO)C/LW/RW1111234051172614.29%212311.250000000000000%600000.3200000000
16Joe HickettsCheckers (FLO)D1102210014198460%1323421.2900000000030000%000000.1700000000
17Danila KlimovichCheckers (FLO)LW/RW111012000090411.11%0726.5600000000000050.00%400000.2800000000
18Egor AfanasyevCheckers (FLO)C/LW/RW11000300665330%111310.35000000000400050.00%80000000000000
Team Total or Average19835681036084019124429710222711.78%80322016.261020308032100033048253.60%80600100.6400000657
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
1Sergei MurashovCheckers (FLO)118300.9251.73658231925400000110310
Team Total or Average118300.9251.7365823192540000110310


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary 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
Adam BeckmanCheckers (FLO)LW/RW252001-05-10CANNo191 Lbs6 ft2NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,699,000$0$0$No1,699,000$--------1,699,000$--------No--------
Aleksanteri KaskimakiCheckers (FLO)C222004-02-06FINYes192 Lbs6 ft0NoNoProspectNoNo22026-06-11FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Alexandre LoignonCheckers (FLO)C/RW262000-07-27CANNo226 Lbs6 ft4YesNoN/ANoNo2FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------Yes--------
Arsenii SergeevCheckers (FLO)G232002-12-16RUSYes194 Lbs6 ft3NoNoProspectNoNo22026-06-11FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Benjamin KindelCheckers (FLO)C/RW192007-04-19CANYes181 Lbs5 ft11NoNoProspectNoNo32026-09-20FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Bradly NadeauCheckers (FLO)C/LW/RW212005-05-05CANNo175 Lbs5 ft11NoNoTrade2025-06-14NoNo22025-05-23FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Calen AddisonCheckers (FLO)D262000-04-11CANNo194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,085,000$0$0$No---------------------------
Cole EisermanCheckers (FLO)LW202006-08-29USAYes201 Lbs6 ft0NoNoProspectNoNo32026-09-20FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Danila KlimovichCheckers (FLO)LW/RW232003-01-09BLRNo214 Lbs6 ft2NoNoN/ANoNo32026-05-31FalseFalsePro & Farm1,139,000$0$0$No1,139,000$1,139,000$-------1,139,000$1,139,000$-------NoNo-------
Egor AfanasyevCheckers (FLO)C/LW/RW252001-01-23RUSNo216 Lbs6 ft4NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,190,000$0$0$No1,190,000$--------1,190,000$--------No--------
Gustav StjernbergCheckers (FLO)D242002-10-12SWEYes209 Lbs6 ft4NoNoTrade2026-06-26NoNo22026-06-24FalseFalsePro & Farm590,000$0$0$No590,000$--------590,000$--------No--------
Jacob PetersonCheckers (FLO)C/LW271999-07-19SWENo191 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,215,000$0$0$No1,215,000$1,215,000$-------1,215,000$1,215,000$-------NoNo-------
Jamieson ReesCheckers (FLO)C/LW252001-02-26CANNo176 Lbs5 ft11NoNoFree AgentNoNo42025-06-02FalseFalsePro & Farm1,740,000$0$0$No1,740,000$1,740,000$1,740,000$------1,740,000$1,740,000$1,740,000$------NoNoNo------
Jansen HarkinsCheckers (FLO)C/LW/RW291997-05-23CANNo203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm994,000$0$0$No---------------------------
Joe HickettsCheckers (FLO)D301996-05-04CANNo191 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,800,000$0$0$No---------------------------
Kirill KirsanovCheckers (FLO)D242002-09-19RUSYes220 Lbs6 ft2NoNoProspectNoNo22026-06-11FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Mackie SamoskevichCheckers (FLO)C/RW232002-11-15USANo195 Lbs5 ft11NoNoFree AgentNoNo32026-05-31FalseFalsePro & Farm1,365,000$0$0$No1,365,000$1,365,000$-------1,365,000$1,365,000$-------NoNo-------
Matvei GridinCheckers (FLO)LW/RW202006-03-01RUSYes190 Lbs6 ft1NoNoProspectNoNo32026-06-11FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Michael VukojevicCheckers (FLO)D252001-06-08CANNo226 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,029,000$0$0$No---------------------------
Ozzy WiesblattCheckers (FLO)C/LW/RW242002-03-09CANNo186 Lbs5 ft10NoNoFree AgentNoNo12025-06-21FalseFalsePro & Farm900,000$0$0$No---------------------------
Roddy RossCheckers (FLO)G262000-07-04CANNo183 Lbs6 ft3NoNoProspectNoNo12026-06-11FalseFalsePro & Farm1,225,000$0$0$No---------------------------
Ryan SuzukiCheckers (FLO)C/LW252001-05-28CANNo197 Lbs6 ft1NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,382,000$0$0$No1,382,000$--------1,382,000$--------No--------
Samuel HuoCheckers (FLO)C252001-07-13CANNo209 Lbs6 ft5NoNoFree AgentNoNo12026-07-04FalseFalsePro & Farm900,000$0$0$No---------------------------
Santeri HatakkaCheckers (FLO)D252001-01-15FINNo198 Lbs6 ft1NoNoTrade2025-09-10NoNo22025-05-25FalseFalsePro & Farm1,253,000$0$0$No1,253,000$--------1,253,000$--------No--------
Scott RatzlaffCheckers (FLO)G212005-03-09CANYes176 Lbs6 ft1NoNoProspectNoNo32026-06-11FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Sergei MurashovCheckers (FLO)G222004-04-01RUSYes189 Lbs6 ft2NoNoFree AgentNoNo22025-05-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Shakir MukhamadullinCheckers (FLO)D242002-01-10RUSNo183 Lbs6 ft4NoNoFree AgentNoNo12025-05-30FalseFalsePro & Farm900,000$0$0$No---------------------------
Theo LindsteinCheckers (FLO)D212005-01-05SWEYes192 Lbs6 ft0NoNoProspectNoNo32026-06-11FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Zayne ParekhCheckers (FLO)D202006-02-15CANYes187 Lbs6 ft0NoNoProspectNoNo32026-06-11FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2923.79196 Lbs6 ft12.101,064,862$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam BeckmanJansen HarkinsBradly Nadeau40113
2Jacob PetersonJamieson ReesMatvei Gridin34122
3Ozzy WiesblattRyan SuzukiMackie Samoskevich18122
4Egor AfanasyevAleksanteri KaskimakiDanila Klimovich8122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe HickettsShakir Mukhamadullin40122
2Santeri HatakkaZayne Parekh34122
3Kirill KirsanovTheo Lindstein19122
4Joe HickettsTheo Lindstein7122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam BeckmanJansen HarkinsBradly Nadeau60104
2Jacob PetersonAleksanteri KaskimakiMatvei Gridin40104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Santeri HatakkaShakir Mukhamadullin53104
2Theo LindsteinZayne Parekh47104
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jamieson ReesEgor Afanasyev55140
2Aleksanteri KaskimakiBradly Nadeau45140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe HickettsTheo Lindstein55140
2Zayne ParekhKirill Kirsanov45140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Egor Afanasyev54050Joe HickettsTheo Lindstein54140
2Jamieson Rees46050Zayne ParekhKirill Kirsanov46140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jansen HarkinsAdam Beckman57113
2Jamieson ReesBradly Nadeau43113
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe HickettsShakir Mukhamadullin56122
2Santeri HatakkaZayne Parekh44122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Adam BeckmanJansen HarkinsBradly NadeauSanteri HatakkaShakir Mukhamadullin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jamieson ReesAleksanteri KaskimakiEgor AfanasyevJoe HickettsShakir Mukhamadullin
Extra Forwards
Normal PowerPlayPenalty Kill
Adam Beckman, Ryan Suzuki, Aleksanteri KaskimakiAdam Beckman, Ryan SuzukiEgor Afanasyev
Extra Defensemen
Normal PowerPlayPenalty Kill
Zayne Parekh, Theo Lindstein, Santeri HatakkaZayne ParekhTheo Lindstein, Santeri Hatakka
Penalty Shots
Aleksanteri Kaskimaki, Adam Beckman, Ryan Suzuki, Bradly Nadeau, Jacob Peterson
Goalie
#1 : Sergei Murashov, #2 : Arsenii Sergeev


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
OverallHome Visitor
# 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 RI
1Admirals11000000404000000000001100000040421.000481201141110029104101920274621100.00%30100.00%016632551.08%17631256.41%9016953.25%2611792568114270
2Firebird11000000642110000006420000000000021.00061218001411100361041019202868184250.00%4250.00%016632551.08%17631256.41%9016953.25%2611792568114270
3IceHogs22000000624110000003031100000032141.0006121801141110049104101920391112307114.29%50100.00%016632551.08%17631256.41%9016953.25%2611792568114270
4Moose2020000036-31010000012-11010000024-200.00036900141110052104101920451016348337.50%8362.50%016632551.08%17631256.41%9016953.25%2611792568114270
5Roadrunners11000000101110000001010000000000021.000123011411100341041019202368165120.00%40100.00%016632551.08%17631256.41%9016953.25%2611792568114270
6Stars22000000844110000004221100000042241.0008142200141110050104101920401516396233.33%80100.00%016632551.08%17631256.41%9016953.25%2611792568114270
7Wild21100000734110000006151010000012-120.5007142100141110047104101920522820338112.50%9188.89%016632551.08%17631256.41%9016953.25%2611792568114270
Total11830000035191665100000219125320000014104160.72735681030314111002971041019202548086191391025.64%41685.37%016632551.08%17631256.41%9016953.25%2611792568114270
_Since Last GM Reset11830000035191665100000219125320000014104160.72735681030314111002971041019202548086191391025.64%41685.37%016632551.08%17631256.41%9016953.25%2611792568114270
_Vs Conference11830000035191665100000219125320000014104160.72735681030314111002971041019202548086191391025.64%41685.37%016632551.08%17631256.41%9016953.25%2611792568114270

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1116W23568103297254808619103
All Games
GPWLOTWOTL SOWSOLGFGA
118300003519
Home Games
GPWLOTWOTL SOWSOLGFGA
6510000219
Visitor Games
GPWLOTWOTL SOWSOLGFGA
53200001410
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
391025.64%41685.37%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1041019201411100
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
16632551.08%17631256.41%9016953.25%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2611792568114270


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
215Checkers4Stars2WBox score
430Roadrunners0Checkers1WBox score
537Checkers3IceHogs2WBox score
755IceHogs0Checkers3WBox score
1068Checkers2Moose4LBox score
1494Wild1Checkers6WBox score
16113Moose2Checkers1LBox score
20133Stars2Checkers4WBox score
21145Checkers1Wild2LBox score
24165Firebird4Checkers6WBox score
25173Checkers4Admirals0WBox score
28196Checkers-Firebird-
29200Checkers-Roadrunners-
32220Admirals-Checkers-
34234Checkers-Hammers-
36247Checkers-Bears-
37255Penguins-Checkers-
41275Senators-Checkers-
43293Checkers-Gulls-
45308Checkers-Stars-
46318Marlies-Checkers-
49335Checkers-Americans-
50347Hammers-Checkers-
53367Checkers-Canucks-
55378Monsters-Checkers-
58388Checkers-Marlies-
61409Crunch-Checkers-
63427Checkers-Thunderbirds-
65440Griffins-Checkers-
68465Stars-Checkers-
72491Moose-Checkers-
77520IceHogs-Checkers-
79534Checkers-Eagles-
81549Comets-Checkers-
83569Checkers-Moose-
85580Rockets-Checkers-
87596Checkers-Comets-
89608Checkers-Admirals-
90622Wild-Checkers-
93644Checkers-Wolves-
96656Wranglers-Checkers-
98674Checkers-Reign-
100688Wolf Pack-Checkers-
102704Checkers-Penguins-
104718Checkers-Bruins-
105726Bears-Checkers-
109753Thunderbirds-Checkers-
112776Phantoms-Checkers-
115785Checkers-Griffins-
118810Silver Knight-Checkers-
120823Checkers-Monsters-
123841Wolves-Checkers-
124855Checkers-Phantoms-
127874Firebird-Checkers-
129891Checkers-Rockets-
130905Roadrunners-Checkers-
134927Checkers-Wranglers-
136938Eagles-Checkers-
141965Barracuda-Checkers-
143983Checkers-Roadrunners-
145995Condors-Checkers-
1461007Checkers-Condors-
1481013Checkers-Firebird-
1501031Checkers-Silver Knight-
1511037Canucks-Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1541053Checkers-Wolf Pack-
1571071Reign-Checkers-
1591090Checkers-Senators-
1611099Checkers-Barracuda-
1631109Bruins-Checkers-
1651123Checkers-Wild-
1671134Checkers-Crunch-
1691148Admirals-Checkers-
1701160Checkers-IceHogs-
1741179Gulls-Checkers-
1841215Americans-Checkers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3616
Attendance12,0006,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 3000 - 100.00% 131,120$786,720$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
995,996$ 6,176,200$ 6,176,200$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 923,015$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,195,840$ 158 36,088$ 5,701,904$




Checkers 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

Checkers Goalies Stat Leaders (Regular Season)

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

Checkers 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

Checkers 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

Checkers Goalies Stat Leaders (Play-Off)

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