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Checkers
GP: 15 | W: 6 | L: 8 | OTL: 1 | P: 13
GF: 55 | GA: 64 | PP%: 24.62% | PK%: 81.25%
GM : Jean-Francois Chouinard | Morale : 38 | Team Overall : 63
Next Games #206 vs Gulls

Game Center
Penguins
5-8-3, 13pts
2
5 Checkers
6-8-1, 13pts
Team Stats
OTL1StreakOTW1
1-5-2Home Record3-4-1
4-3-1Home Record3-4-0
1-7-2Last 10 Games5-4-1
3.50Goals Per Game3.67
4.25Goals Against Per Game4.27
19.30%Power Play Percentage24.62%
74.24%Penalty Kill Percentage81.25%
Checkers
6-8-1, 13pts
5
4 Wolfpack
8-5-2, 18pts
Team Stats
OTW1StreakOTL1
3-4-1Home Record5-2-1
3-4-0Home Record3-3-1
5-4-1Last 10 Games4-4-2
3.67Goals Per Game4.00
4.27Goals Against Per Game4.13
24.62%Power Play Percentage21.54%
81.25%Penalty Kill Percentage82.54%
Checkers
6-8-1, 13pts
Day 34
Gulls
11-4-1, 23pts
Team Stats
OTW1StreakOTW1
3-4-1Home Record5-2-0
3-4-0Away Record6-2-1
5-4-1Last 10 Games8-2-0
3.67Goals Per Game5.00
4.27Goals Against Per Game5.00
24.62%Power Play Percentage23.53%
81.25%Penalty Kill Percentage79.41%
Eagles
8-7-1, 17pts
Day 36
Checkers
6-8-1, 13pts
Team Stats
L2StreakOTW1
6-1-0Home Record3-4-1
2-6-1Away Record3-4-0
6-4-0Last 10 Games5-4-1
4.19Goals Per Game3.67
4.13Goals Against Per Game3.67
21.05%Power Play Percentage24.62%
72.37%Penalty Kill Percentage81.25%
Checkers
6-8-1, 13pts
Day 38
Moose
6-5-5, 17pts
Team Stats
OTW1StreakOTL1
3-4-1Home Record2-2-3
3-4-0Away Record4-3-2
5-4-1Last 10 Games3-3-4
3.67Goals Per Game3.56
4.27Goals Against Per Game3.56
24.62%Power Play Percentage17.24%
81.25%Penalty Kill Percentage79.31%
Team Leaders
Goals
Austin Poganski
10
Assists
Brendan Leipsic
12
Points
Dylan Gambrell
19
Plus/Minus
Jordan Harris
3
Wins
Joseph Woll
5
Save Percentage
Joseph Woll
0.869

Team Stats
Goals For
55
3.67 GFG
Shots For
464
30.93 Avg
Power Play Percentage
24.6%
16 GF
Offensive Zone Start
36.4%
Goals Against
64
4.27 GAA
Shots Against
461
30.73 Avg
Penalty Kill Percentage
81.3%%
12 GA
Defensive Zone Start
36.3%
Team Info

General ManagerJean-Francois Chouinard
CoachPavel Bure
DivisionMax-Sillig
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2Dylan Gambrell


Arena Info

Capacity3,000
Attendance2,731
Season Tickets300


Roster Info

Pro Team29
Farm Team18
Contract Limit47 / 250
Prospects0


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.
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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
1Dylan Gambrell (R) (A)X100.007033807274757374808576606961504542720242750,000$
2Austin Poganski (R)X100.007045787574637672657073666655503342690241600,000$
3Brendan LeipsicX100.005733737370717172777776626753563132690261750,000$
4Roberts LipsbergsX100.007432786977736369777269657052553142680261750,000$
5Nick Abruzzese (R)X100.006738797963645879707669567651466042680211500,000$
6Kieffer Bellows (R)X100.006824856576727470726877547447484942670221550,000$
7Rafael Harvey-Pinard (R)X100.007448867776696765637165557745464942670211500,000$
8Shane Bowers (R)X100.006335797362695371675971587344475232650211500,000$
9Tyce Thompson (R)X100.006838836270706866716463536244475842630211500,000$
10Maxim Marushev (R)X100.004435817757656057686743584445465842590213400,000$
11Nathan Legare (R)X100.006744586166496361546264504641416332580191500,000$
12Jeremias Lindewall (R)X100.005934715260545457655163294940407842530184800,000$
13Ryan PulockX100.007726897567808365507679787575583941740261950,000$
14Viktor BaldayevX100.007549757575657273527161805957543542720251800,000$
15Alexander Romanov (R)X100.008251697578825959437663715447446242710204650,000$
16Adam Boqvist (R)X100.006327808167677784488561704851446342700204650,000$
17Joni Jurmo (R)X99.114426746741475776317754573240407132570184950,000$
18Matias Rajaniemi (R)X100.005519724763605348276233713440406542560184600,000$
Scratches
1Brett Pollock (R)X100.006135786765696365626858695546463230640242500,000$
2Logan Barlage (R)X100.006327664871545966735779425945455730600203600,000$
3William Dufour (R)X100.004922706541524965545659466440406836550183600,000$
4Mikhail Abramov (R)X100.004735606041605060606357415041416530540191500,000$
5Lukas Svejkovsky (R)X100.004123684648584853726150373940406825500182500,000$
6Jordan Harris (R)X100.006135777061706070566353666143446330630203600,000$
7Kirill Steklov (R)X100.005022735662556050255339653440407030550184750,000$
8Mattias Norlinder (R)X100.004236716347425767286451574143425230550201500,000$
TEAM AVERAGE99.97613475676464636658676258574746553763
Filter Tips
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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.
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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
1Joseph Woll99.00746982655782796061827251465846680224750,000$
2Arvid Soderblom100.00656880586069756164796648465846660213600,000$
Scratches
1Kirill Ustimenko100.00466254506352546073493546454732570211500,000$
TEAM AVERAGE99.6762667258606869606670584846544164
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Pavel Bure54607666334563RUS501800,000$


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.
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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
1Dylan GambrellCheckers (Flo)C1591019-740293956213716.07%1134322.922356581011590052.66%50766001.1100000102
2Austin PoganskiCheckers (Flo)RW1510717-3140262041102224.39%1330920.663035481015511145.83%2473001.1000000112
3Brendan LeipsicCheckers (Flo)LW1551217-6140222536132813.89%829019.352464560000211047.83%23136001.1700000021
4Nick AbruzzeseCheckers (Flo)C1571017-6160231852183213.46%525116.78246948101111043.71%16732001.3511000110
5Adam BoqvistCheckers (Flo)D152810-1014022303010166.67%1933222.1524686101106000%0810000.6000000000
6Roberts LipsbergsCheckers (Flo)LW153710-4601813415277.32%420013.341122521322100100.00%585001.0000000010
7Shane BowersCheckers (Flo)C15549-34017194062712.50%519613.09000001231321054.72%10662000.9201000000
8Ryan PulockCheckers (Flo)D14268-90020232213179.09%1935025.01033161011138100%079000.4602000001
9Viktor BaldayevCheckers (Flo)D15178-81002829141137.14%1935023.37134245022057000%0613000.4600000100
10Kieffer BellowsCheckers (Flo)RW15448-60013232861314.29%725817.20224857000000152.94%1744000.6201000100
11Rafael Harvey-PinardCheckers (Flo)LW15257-20019201971510.53%722615.11011042000000022.22%932000.6201000001
12Joni JurmoCheckers (Flo)D1514526041266316.67%1321114.12101137011015000%027000.4700000000
13Alexander RomanovCheckers (Flo)D15044-3160243118250%1330720.4900004011053000%0816000.2600000000
14Tyce ThompsonCheckers (Flo)RW15213-5001891731211.76%516410.9600001000001050.00%611000.3700000001
15Maxim MarushevCheckers (Flo)C15022-100815223130%21167.74000020000140062.22%4531000.3400000000
16Matias RajaniemiCheckers (Flo)D15011010011248340%719913.3100004000134000%002000.1000000000
17William DufourCheckers (Flo)RW81010003423450.00%0445.56000000000000100.00%131000.4500000000
18Jeremias LindewallCheckers (Flo)LW15011-1201534060%11077.18000030000500100.00%100000.1900000000
19Timothy LiljegrenPanthersD1101-1200431133.33%12424.950000100002000%011000.8000000000
20Mikhail AbramovCheckers (Flo)C2011100000010%021.19000000110200100.00%100008.3900000000
21Brett PollockCheckers (Flo)LW2000000010010%2157.820000000001000%01100000000000
22Logan BarlageCheckers (Flo)C2000000110010%1136.9800000000000050.00%40000000000000
23Kirill SteklovCheckers (Flo)D2000100000000%194.590000000000000%00000000000000
24Jordan HarrisCheckers (Flo)D2000300142000%42110.980000000003000%00100000000000
25Nathan LegareCheckers (Flo)RW9000-140853310%3586.510000000000000%10000000000000
Team Total or Average2825594149-69122033037246414428911.85%170440715.631625414654361016124216251.47%9179093000.6816000558
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
1Joseph WollCheckers (Flo)115500.8694.1757640403061392200105000
2Arvid SoderblomCheckers (Flo)61310.8633.84328002115383000.6005510000
Team Total or Average176810.8674.0490540614592222251515000


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
Adam BoqvistCheckers (Flo)D202000-01-01SWEYes182 Lbs6 ft0NoNoFree Agent2025-04-10NoNo42025-08-28FalseFalsePro & Farm650,000$526,923$0$0$No950,000$2,000,000$4,000,000$------950,000$2,000,000$4,000,000$------NoNoNo------Link
Alexander RomanovCheckers (Flo)D202000-01-01RUSYes215 Lbs6 ft1NoNoFree Agent2025-03-12NoNo42025-08-28FalseFalsePro & Farm650,000$526,923$0$0$No950,000$1,750,000$3,000,000$------950,000$1,750,000$3,000,000$------NoNoNo------Link
Arvid SoderblomCheckers (Flo)G211999-01-01SWENo180 Lbs6 ft3NoNoTrade2024-12-30NoNo32024-08-21FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Link
Austin PoganskiCheckers (Flo)RW241996-01-01USAYes198 Lbs5 ft11NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Link
Brendan LeipsicCheckers (Flo)LW261994-01-01CANNo165 Lbs5 ft8NoNoFree Agent2025-03-07NoNo12025-08-28FalseFalsePro & Farm750,000$607,988$0$0$No---------------------------Link
Brett PollockCheckers (Flo)LW241996-01-01CANYes195 Lbs6 ft3NoNoFree AgentNoNo22025-08-28FalseFalsePro & Farm500,000$405,325$0$0$No700,000$--------700,000$--------No--------Link
Dylan GambrellCheckers (Flo)C241996-01-01USAYes194 Lbs6 ft0NoNoFree AgentNoNo22025-08-28FalseFalsePro & Farm750,000$607,988$0$0$No950,000$--------950,000$--------No--------Link
Jeremias LindewallCheckers (Flo)LW182002-01-01SWEYes183 Lbs6 ft2NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm800,000$648,521$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Joni JurmoCheckers (Flo)D182002-01-01FINYes190 Lbs6 ft4NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm950,000$770,118$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------
Jordan HarrisCheckers (Flo)D202000-01-01USAYes189 Lbs5 ft11NoNoFree Agent2024-09-17NoNo32025-08-28FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Link
Joseph WollCheckers (Flo)G221998-01-01USANo203 Lbs6 ft3NoNoFree AgentNoNo42025-08-28FalseFalsePro & Farm750,000$607,988$0$0$No950,000$1,100,000$1,600,000$------950,000$1,100,000$1,600,000$------NoNoNo------Link
Kieffer BellowsCheckers (Flo)RW221998-01-01USAYes194 Lbs6 ft1NoNoTrade2024-12-30NoNo1FalseFalsePro & Farm550,000$445,858$0$0$No---------------------------Link
Kirill SteklovCheckers (Flo)D182002-01-01ESTYes190 Lbs6 ft4NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm750,000$607,988$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
Kirill UstimenkoCheckers (Flo)G211999-01-01BLRNo203 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Logan BarlageCheckers (Flo)C202000-01-01CANYes201 Lbs6 ft4NoNoFree AgentNoNo32025-10-23FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Lukas SvejkovskyCheckers (Flo)RW182002-01-01USAYes165 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Matias RajaniemiCheckers (Flo)D182002-01-01FINYes205 Lbs6 ft4NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------
Mattias NorlinderCheckers (Flo)D202000-01-01SWEYes192 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Maxim MarushevCheckers (Flo)C211999-01-01RUSYes196 Lbs6 ft0NoNoFree AgentNoNo32025-10-23FalseFalsePro & Farm400,000$324,260$0$0$No400,000$400,000$-------400,000$400,000$-------NoNo-------
Mikhail AbramovCheckers (Flo)C192001-01-01RUSYes170 Lbs5 ft11NoNoTrade2025-08-19NoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Nathan LegareCheckers (Flo)RW192001-01-01CANYes205 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Nick AbruzzeseCheckers (Flo)C211999-01-01USAYes181 Lbs5 ft11NoNoTrade2024-09-17NoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Rafael Harvey-PinardCheckers (Flo)LW211999-01-01CANYes183 Lbs6 ft0NoNoTrade2025-04-10NoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Roberts LipsbergsCheckers (Flo)LW261994-01-01LVANo185 Lbs5 ft11NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm750,000$607,988$0$0$No---------------------------Link
Ryan PulockCheckers (Flo)D261994-01-01CANNo185 Lbs6 ft1NoNoFree Agent2025-03-07NoNo12025-08-28FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Link
Shane BowersCheckers (Flo)C211999-01-01CANYes185 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Tyce ThompsonCheckers (Flo)RW211999-01-01CANYes174 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Link
Viktor BaldayevCheckers (Flo)D251995-01-01RUSNo185 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm800,000$648,521$0$0$No---------------------------Link
William DufourCheckers (Flo)RW182002-01-01CANYes183 Lbs5 ft10NoNoFree AgentNoNo32025-10-23FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2921.10189 Lbs6 ft12.17624,138$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brendan LeipsicDylan GambrellAustin Poganski40122
2Rafael Harvey-PinardNick AbruzzeseKieffer Bellows30122
3Roberts LipsbergsShane BowersTyce Thompson20122
4Jeremias LindewallMaxim MarushevNathan Legare10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander RomanovAdam Boqvist40122
2Ryan PulockViktor Baldayev30122
3Joni JurmoMatias Rajaniemi20122
4Alexander RomanovAdam Boqvist10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brendan LeipsicDylan GambrellAustin Poganski60014
2Rafael Harvey-PinardNick AbruzzeseKieffer Bellows40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam BoqvistRyan Pulock60023
2Viktor BaldayevJoni Jurmo40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dylan GambrellAustin Poganski60131
2Shane BowersRoberts Lipsbergs40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Viktor BaldayevAlexander Romanov60131
2Ryan PulockMatias Rajaniemi40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Austin Poganski60131Viktor BaldayevAlexander Romanov60131
2Roberts Lipsbergs40131Ryan PulockMatias Rajaniemi40131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dylan GambrellBrendan Leipsic60122
2Nick AbruzzeseRafael Harvey-Pinard40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander RomanovAdam Boqvist60122
2Ryan PulockViktor Baldayev40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brendan LeipsicDylan GambrellAustin PoganskiRyan PulockAdam Boqvist
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brendan LeipsicDylan GambrellAustin PoganskiRyan PulockViktor Baldayev
Extra Forwards
Normal PowerPlayPenalty Kill
Nick Abruzzese, Dylan Gambrell, Rafael Harvey-PinardNick Abruzzese, Dylan GambrellBrendan Leipsic
Extra Defensemen
Normal PowerPlayPenalty Kill
Ryan Pulock, Adam Boqvist, Alexander RomanovRyan PulockRyan Pulock, Viktor Baldayev
Penalty Shots
Rafael Harvey-Pinard, Nick Abruzzese, Ryan Pulock, Kieffer Bellows, Shane Bowers
Goalie
#1 : Joseph Woll, #2 : Arvid Soderblom, #3 : 0
Custom OT Lines Forwards
Dylan Gambrell, Austin Poganski, Brendan Leipsic, Nick Abruzzese, Roberts Lipsbergs, Rafael Harvey-Pinard, Kieffer Bellows, Shane Bowers, Nathan Legare, Tyce Thompson
Custom OT Lines Defensemen
Ryan Pulock, Viktor Baldayev, Alexander Romanov, Adam Boqvist, Joni Jurmo


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
1Americans1010000034-11010000034-10000000000000.00036900824213351291831507291312286116.67%6183.33%016233348.65%17833253.61%13224953.01%317171315142273137
2Bears1000000123-11000000123-10000000000010.5002460082421329129183150732126223133.33%30100.00%016233348.65%17833253.61%13224953.01%317171315142273137
3Condors210010001073110000005321000100054141.00010182800824213601291831507701914327114.29%70100.00%016233348.65%17833253.61%13224953.01%317171315142273137
4Eagles20200000710-30000000000020200000710-300.00071118108242135612918315075218225011436.36%12375.00%116233348.65%17833253.61%13224953.01%317171315142273137
5Firebirds2020000059-41010000024-21010000035-200.00058130082421365129183150758208477114.29%40100.00%016233348.65%17833253.61%13224953.01%317171315142273137
6Gulls312000001015-5211000009721010000018-720.333101828108242138612918315079541326614214.29%16381.25%116233348.65%17833253.61%13224953.01%317171315142273137
7Penguins32100000131212110000079-21100000063340.667132235008242139612918315078734246713538.46%12466.67%216233348.65%17833253.61%13224953.01%317171315142273137
8Wolfpack10001000541000000000001000100054121.00057120082421337129183150738138184125.00%4175.00%216233348.65%17833253.61%13224953.01%317171315142273137
Total1548020015564-9834000012830-2714020002734-7130.4335594149208242134641291831507461170126330651624.62%641281.25%616233348.65%17833253.61%13224953.01%317171315142273137
_Since Last GM Reset1548020015564-9834000012830-2714020002734-7130.4335594149208242134641291831507461170126330651624.62%641281.25%616233348.65%17833253.61%13224953.01%317171315142273137
_Vs Conference1137010004050-10523000001820-2614010002230-880.364406610620824213340129183150733012694248491326.53%481177.08%616233348.65%17833253.61%13224953.01%317171315142273137
_Vs Division835000002836-8523000001820-2312000001016-660.375284876108242132471291831507240956418034823.53%32778.13%316233348.65%17833253.61%13224953.01%317171315142273137

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1513OTW1559414946446117012633020
All Games
GPWLOTWOTL SOWSOLGFGA
154820015564
Home Games
GPWLOTWOTL SOWSOLGFGA
83400012830
Visitor Games
GPWLOTWOTL SOWSOLGFGA
71420002734
Last 10 Games
WLOTWOTL SOWSOL
342001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
651624.62%641281.25%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1291831507824213
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
16233348.65%17833253.61%13224953.01%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
317171315142273137


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
16Condors3Checkers5WBox score
215Checkers1Gulls8LBox score
530Checkers3Firebirds5LBox score
746Checkers4Eagles5LBox score
852Penguins7Checkers2LBox score
1067Firebirds4Checkers2LBox score
1277Checkers5Condors4WXBox score
1493Gulls2Checkers6WBox score
18115Gulls5Checkers3LBox score
19122Checkers6Penguins3WBox score
22139Bears3Checkers2LXXBox score
24154Checkers3Eagles5LBox score
26164Americans4Checkers3LBox score
29184Penguins2Checkers5WBox score
31189Checkers5Wolfpack4WXBox score
34206Checkers-Gulls-
36218Eagles-Checkers-
38233Checkers-Moose-
39241Canucks-Checkers-
44266Little Stars-Checkers-
45276Checkers-Little Stars-
47290Americans-Checkers-
50304Checkers-Gulls-
52317Moose-Checkers-
54331Checkers-Eagles-
56344Islander-Checkers-
57353Checkers-Rockets-
60369Firebirds-Checkers-
62384Checkers-Barracuda-
64396Punishers-Checkers-
66411Checkers-Roadrunners-
67421Checkers-Icehogs-
68428Roadrunners-Checkers-
71444Checkers-Comets-
72453Senators-Checkers-
75472Checkers-Condors-
77481Penguins-Checkers-
79497Checkers-Thunderbirds-
81506Thunderbirds-Checkers-
83519Checkers-Canucks-
85531Wranglers-Checkers-
87548Checkers-Griffins-
88556Bears-Checkers-
91572Checkers-Comets-
92581Barracuda-Checkers-
96603Checkers-Crunch-
97609Gulls-Checkers-
100631Wolfpack-Checkers-
103651Checkers-Condors-
104657Barracuda-Checkers-
107675Checkers-Admirals-
108682Marlies-Checkers-
111700Checkers-Penguins-
112709Marlies-Checkers-
116732Rockets-Checkers-
118741Checkers-Wolfpack-
120756Checkers-Firebirds-
121761Icehogs-Checkers-
123777Checkers-Penguins-
125785Admirals-Checkers-
127801Checkers-Islander-
129811Icehogs-Checkers-
131823Checkers-Marlies-
133838Rockets-Checkers-
135851Checkers-Americans-
Trade Deadline --- Trades can’t be done after this day is simulated!
138863Checkers-Bears-
139871Condors-Checkers-
142892Griffins-Checkers-
143902Checkers-Islander-
145911Checkers-Firebirds-
147921Comets-Checkers-
149938Griffins-Checkers-
151949Checkers-Americans-
152951Checkers-Punishers-
155969Crunch-Checkers-
156979Checkers-Wranglers-
160998Firebirds-Checkers-
1631013Checkers-Wranglers-
1641023Checkers-Senators-
1661031Crunch-Checkers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance14,5337,311
Attendance PCT90.83%91.39%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
32 2731 - 91.02% 171,905$1,375,237$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
494,444$ 1,810,000$ 1,810,000$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,710$ 342,957$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,500,948$ 137 15,444$ 2,115,828$




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