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BANGOR PUPPIES
GP: 21 | W: 9 | L: 10 | OTL: 2 | P: 20
GF: 75 | GA: 77 | PP%: 21.05% | PK%: 81.67%
GM : Clint T | Morale : 73 | Team Overall : 67
Next Games #240 vs NORTH VAN ROCKERS

Game Center
BANGOR PUPPIES
9-10-2, 20pts
5
FINAL
2 CALGARY WRANGLERS
12-7-2, 26pts
Team Stats
L1StreakW1
4-6-1Home Record7-3-1
5-4-1Home Record5-4-1
5-4-1Last 10 Games6-2-2
3.57Goals Per Game3.57
3.67Goals Against Per Game3.24
21.05%Power Play Percentage22.22%
81.67%Penalty Kill Percentage90.00%
COQUITLAM EXPRESS
9-11-1, 19pts
5
FINAL
3 BANGOR PUPPIES
9-10-2, 20pts
Team Stats
W1StreakL1
5-4-1Home Record4-6-1
4-7-0Home Record5-4-1
1-8-1Last 10 Games5-4-1
3.48Goals Per Game3.57
4.05Goals Against Per Game3.67
15.15%Power Play Percentage21.05%
75.36%Penalty Kill Percentage81.67%
BANGOR PUPPIES
9-10-2, 20pts
Day 39
NORTH VAN ROCKERS
16-6-0, 32pts
Team Stats
L1StreakW2
4-6-1Home Record8-2-0
5-4-1Away Record8-4-0
5-4-1Last 10 Games7-3-0
3.57Goals Per Game4.45
3.67Goals Against Per Game4.45
21.05%Power Play Percentage17.02%
81.67%Penalty Kill Percentage76.67%
BANGOR PUPPIES
9-10-2, 20pts
Day 40
PINCHER CREEK WOLVERINES
10-6-5, 25pts
Team Stats
L1StreakOTL2
4-6-1Home Record4-2-5
5-4-1Away Record6-4-0
5-4-1Last 10 Games5-2-3
3.57Goals Per Game3.81
3.67Goals Against Per Game3.81
21.05%Power Play Percentage28.57%
81.67%Penalty Kill Percentage77.78%
PHILADELPHIA PHANTOMS
17-4-1, 35pts
Day 42
BANGOR PUPPIES
9-10-2, 20pts
Team Stats
L2StreakL1
7-2-1Home Record4-6-1
10-2-0Away Record5-4-1
7-3-0Last 10 Games5-4-1
4.09Goals Per Game3.57
2.68Goals Against Per Game3.57
18.31%Power Play Percentage21.05%
71.43%Penalty Kill Percentage81.67%
Team Leaders
Goals
Dylan Holloway
11
Assists
Victor Söderström
15
Points
Dylan Holloway
25
Plus/Minus
J.T. Miller
6
Wins
Sebastian Cossa
5
Save Percentage
Scott Wedgewood
0.886

Team Stats
Goals For
75
3.57 GFG
Shots For
696
33.14 Avg
Power Play Percentage
21.1%
8 GF
Offensive Zone Start
38.1%
Goals Against
77
3.67 GAA
Shots Against
649
30.90 Avg
Penalty Kill Percentage
81.7%%
11 GA
Defensive Zone Start
34.8%
Team Info

General ManagerClint T
CoachGreg Ireland
DivisionAdams
ConferenceNeid Conference
CaptainJ.T. Miller
Assistant #1Victor Söderström
Assistant #2Evgeny Dadonov


Arena Info

Capacity3,000
Attendance2,732
Season Tickets300


Roster Info

Pro Team34
Farm Team20
Contract Limit54 / 66
Prospects0


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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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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
1Evgeny Dadonov (A)XX100.0081996572717997549091776599880787703611,303,000$
2J.T. Miller (C)XXX100.00999975679897890658982795599990817723221,377,000$
3Dmitrij JaskinX100.00999916080777785378384835490910787523221,065,000$
4Roope HintzXX100.004412836878969284538277646091780787422821,312,500$
5Emil BemströmX100.00428898489959579697569585493810787322631,200,000$
6Aliaksei Protas (R)XX100.0011198888988787771857166558578078732241600,000$
7Dylan Holloway (R)XX100.00553367818586857770846761687983080721244825,000$
8Matvei Michkov (R)XXX100.0033899818280827254737470637182078711202900,000$
9Zach Ostapchuk (R)X100.00592984878588906363665865667570078682225800,000$
10Logan Stankoven (R)XX100.00664677837885897358656559527661075682225800,000$
11Josh Doan (R)XXX100.00352082777871806669666364557874078662235700,000$
12Andrew Cristall (R)X100.00564187787569736447576063596867078632202800,000$
13Victor Söderström (R) (A)X100.0011199899296958844846874489991078761243750,000$
14Derrick Pouliot X100.003724756573829067306752945292860757223121,200,000$
15Ville HeinolaX100.0034199899389947339795462449282078721243750,000$
16Ryker Evans (R)X100.00774877787776776644675266487578078692235900,000$
17William Wallinder (R)X100.00523867798281845944535061457877078662233700,000$
18Colby RobakX100.00473974578145745850584380489999079650351600,000$
Scratches
1Nikita Alexandrov (R)X100.0049591798476776370645859587670059652251500,000$
2Ondrej KaseXX100.00502875697578846033626163619279059642301851,000$
3Filip Bystedt (R)X100.00463367657967726267586062647470059621211800,000$
4Riley Heidt (R)X100.00667833727468685956656165446148059622202800,000$
5Jonatan Berggren (R)XX100.002195787869766555585761588277059622251700,000$
6Miles WoodX100.00805166667567785863545061569090059622301840,000$
7Konsta Helenius (R)X100.0016187727169686264636058666466059611193900,000$
8Matvei Gridin (R)X100.00171678686773696345636063586663059601193800,000$
9Samu Salminen (R)X100.0013290707563646254565862485955059582223600,000$
10Alec Regula (R)X100.00532864657865705433545267439263059632251785,000$
11Jack Thompson (R)X100.00504488707267626444535660456460059612233600,000$
12Harrison Brunicke (R)X100.00554468636566645944615663486257059602193700,000$
13Hunter Brzustewicz (R)X100.00374568677364695844595963486359056602202900,000$
TEAM AVERAGE100.0045307573797678695368626654807507067
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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8*Wildcard for zero or more non-space characters.
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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
1Scott Wedgewood100.0060657081707979917867589987080762332750,000$
2Sebastian Cossa (R)100.0062696985717372767965627771080721225900,000$
Scratches
1Michael Hrabal (R)100.0064646578696162606260626264070632202700,000$
TEAM AVERAGE100.006266688170717176736461797407770
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Greg Ireland85819681999941CAN5511,176,000$


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")
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 HollowayBANGOR PUPPIES (BEA)C/LW211114251195391984225413.10%641319.71336634000041054.76%51585001.2100100320
2Aliaksei ProtasBANGOR PUPPIES (BEA)C/LW21101424-400112876194513.16%1242020.042466350002550053.96%404208001.1400000113
3J.T. MillerBANGOR PUPPIES (BEA)C/LW/RW218122064515692663214412.70%630314.4400000000001055.56%1887001.3200201100
4Emil BemströmBANGOR PUPPIES (BEA)C2171219400101670223810.00%327212.96112429000003052.52%139163001.4000000011
5Victor SöderströmBANGOR PUPPIES (BEA)D2121517-4003375018184.00%2750223.95123540000060000%02514000.6800000101
6Roope HintzBANGOR PUPPIES (BEA)C/LW219817-260322175243312.00%838418.32000000001231150.00%48203000.8800000021
7Matvei MichkovBANGOR PUPPIES (BEA)C/LW/RW217613-600131441224217.07%1644321.120112340000151148.15%2797000.5900000100
8Andrew CristallBANGOR PUPPIES (BEA)LW216713400311621101028.57%927813.27000029000000033.33%936000.9300000011
9Josh DoanBANGOR PUPPIES (BEA)C/LW/RW21571244011193591814.29%624411.6400000000001057.14%762000.9800000000
10Logan Stankoven BANGOR PUPPIES (BEA)C/RW212810-35546233611195.56%134316.37101329000000035.29%1763000.5801010120
11Evgeny DadonovBANGOR PUPPIES (BEA)LW/RW21268100015297176.90%721810.40000000001540057.14%754000.7301000000
12Ville HeinolaBANGOR PUPPIES (BEA)D211672001225198115.26%1440819.45000022000037100%078000.3400000000
13Dmitrij JaskinBANGOR PUPPIES (BEA)RW2152701604292671419.23%21838.75000000002220033.33%654000.7600000101
14Colby RobakBANGOR PUPPIES (BEA)D1604468010158200%1024315.210000000002000%007000.3300000000
15Derrick Pouliot BANGOR PUPPIES (BEA)D21033010022372410110%3449123.4000001000054000%0020000.1200000000
16Ryker EvansBANGOR PUPPIES (BEA)D2103321404120171160%1943520.72011243000030000%0511000.1400000001
17William WallinderBANGOR PUPPIES (BEA)D21011512017179330%1336217.26000018000012000%0110000.0600000000
18Hunter BrzustewiczBANGOR PUPPIES (BEA)D5011-600657210%88517.150001400000000%012000.2300000000
19Zach OstapchukBANGOR PUPPIES (BEA)C210002409126550%31868.86000000000200054.17%481200001000000
Team Total or Average37875129204121432542437469623338910.78%204622216.46812202932500063949253.41%1245146126000.6603311999
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")
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
1Sebastian CossaBANGOR PUPPIES (BEA)155810.8853.548312049427218020.6673147000
2Scott WedgewoodBANGOR PUPPIES (BEA)84210.8863.4643400252201110000714000
Team Total or Average2391020.8863.51126620746473290232121000


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")
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
Alec RegulaBANGOR PUPPIES (BEA)D252000-08-06USAYes210 Lbs6 ft4NoNoN/ANoNo12024-06-15FalseFalsePro & Farm785,000$596,396$78,500$59,640$No---------------------------
Aliaksei ProtasBANGOR PUPPIES (BEA)C/LW242001-01-06BELYes215 Lbs6 ft6NoNoTrade2025-07-15NoNo1FalseFalsePro & Farm600,000$455,844$60,000$45,584$No---------------------------
Andrew CristallBANGOR PUPPIES (BEA)LW202005-02-04CANYes190 Lbs6 ft3NoNoTrade2025-02-10NoNo22024-07-04FalseFalsePro & Farm800,000$607,792$80,000$60,779$No800,000$--------40,000$--------No--------
Colby RobakBANGOR PUPPIES (BEA)D351990-04-24CANNo231 Lbs6 ft3NoNoTrade2024-03-04NoYes12025-07-01FalseFalsePro & Farm600,000$455,844$60,000$45,584$No---------------------------
Derrick Pouliot BANGOR PUPPIES (BEA)D311994-01-16CANNo195 Lbs6 ft0NoNoN/ANoYes22025-06-13FalseFalsePro & Farm1,200,000$911,688$120,000$91,169$No1,200,000$--------40,000$--------No--------
Dmitrij JaskinBANGOR PUPPIES (BEA)RW321993-03-23RUSNo225 Lbs6 ft3NoNoN/ANoYes2FalseFalsePro & Farm1,065,000$809,123$106,500$80,912$No1,065,000$--------40,000$--------No--------
Dylan HollowayBANGOR PUPPIES (BEA)C/LW242001-09-23CANYes217 Lbs6 ft2NoNoTrade2025-07-13NoNo42024-11-13FalseFalsePro & Farm825,000$626,786$82,500$62,679$No825,000$825,000$825,000$------40,000$40,000$40,000$------NoNoNo------
Emil BemströmBANGOR PUPPIES (BEA)C261999-06-01SWENo197 Lbs6 ft2NoNoN/ANoYes32025-06-13FalseFalsePro & Farm1,200,000$911,688$120,000$91,169$No1,200,000$1,200,000$-------40,000$40,000$-------NoNo-------
Evgeny DadonovBANGOR PUPPIES (BEA)LW/RW361989-03-12RUSNo194 Lbs5 ft10NoNoN/ANoYes12024-06-09FalseFalsePro & Farm1,303,000$989,942$130,300$98,994$No---------------------------
Filip BystedtBANGOR PUPPIES (BEA)C212004-02-04SWEYes211 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm800,000$607,792$80,000$60,779$No---------------------------
Harrison BrunickeBANGOR PUPPIES (BEA)D192006-05-08CANYes203 Lbs6 ft3NoNoAssign ManuallyNoNo32025-07-16FalseFalsePro & Farm700,000$531,818$70,000$53,182$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Hunter BrzustewiczBANGOR PUPPIES (BEA)D202004-11-24USAYes191 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-02FalseFalsePro & Farm900,000$683,766$90,000$68,377$No900,000$--------40,000$--------No--------
J.T. MillerBANGOR PUPPIES (BEA)C/LW/RW321993-03-14USANo229 Lbs6 ft1NoNoN/ANoYes22024-06-09FalseFalsePro & Farm1,377,000$1,046,162$137,700$104,616$No1,377,000$--------40,000$--------No--------
Jack ThompsonBANGOR PUPPIES (BEA)D232002-03-19CANYes180 Lbs6 ft1NoNoN/ANoNo32025-06-13FalseFalsePro & Farm600,000$455,844$60,000$45,584$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Jonatan BerggrenBANGOR PUPPIES (BEA)LW/RW252000-07-16SWEYes198 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$531,818$70,000$53,182$No---------------------------
Josh DoanBANGOR PUPPIES (BEA)C/LW/RW232002-02-01USAYes199 Lbs6 ft3NoNoTrade2025-07-15NoNo52025-06-14FalseFalsePro & Farm700,000$531,818$70,000$53,182$No700,000$700,000$700,000$700,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Konsta HeleniusBANGOR PUPPIES (BEA)C192006-05-11FINYes181 Lbs5 ft11NoNoAssign ManuallyNoNo32025-07-12FalseFalsePro & Farm900,000$683,766$90,000$68,377$No900,000$900,000$-------40,000$40,000$-------NoNo-------
Logan Stankoven BANGOR PUPPIES (BEA)C/RW222003-02-26CANYes175 Lbs5 ft8NoNoN/ANoNo52025-06-13FalseFalsePro & Farm800,000$607,792$80,000$60,779$No800,000$800,000$800,000$800,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Matvei GridinBANGOR PUPPIES (BEA)LW192006-03-01CANYes182 Lbs6 ft1NoNoAssign ManuallyNoNo32025-07-14FalseFalsePro & Farm800,000$607,792$80,000$60,779$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Matvei MichkovBANGOR PUPPIES (BEA)C/LW/RW202004-12-09RUSYes182 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-02FalseFalsePro & Farm900,000$683,766$90,000$68,377$No900,000$--------40,000$--------No--------
Michael HrabalBANGOR PUPPIES (BEA)G202005-01-20CZEYes204 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-06FalseFalsePro & Farm700,000$531,818$70,000$53,182$No700,000$--------40,000$--------No--------
Miles WoodBANGOR PUPPIES (BEA)LW301995-09-13USANo208 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm840,000$638,182$84,000$63,818$No---------------------------
Nikita AlexandrovBANGOR PUPPIES (BEA)C252000-09-16RUSYes189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$379,870$50,000$37,987$No---------------------------
Ondrej KaseBANGOR PUPPIES (BEA)LW/RW301995-11-08CZENo191 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm851,000$646,539$85,100$64,654$No---------------------------
Riley HeidtBANGOR PUPPIES (BEA)C202005-03-25CANYes186 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-04FalseFalsePro & Farm800,000$607,792$80,000$60,779$No800,000$--------40,000$--------No--------
Roope HintzBANGOR PUPPIES (BEA)C/LW281996-11-17FINNo207 Lbs6 ft6NoNoN/ANoYes2FalseFalsePro & Farm1,312,500$997,159$131,250$99,716$No1,312,500$--------40,000$--------No--------
Ryker EvansBANGOR PUPPIES (BEA)D232001-12-13USAYes184 Lbs5 ft11NoNoTrade2025-07-15NoNo52025-06-13FalseFalsePro & Farm900,000$683,766$90,000$68,377$No900,000$900,000$900,000$900,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Samu SalminenBANGOR PUPPIES (BEA)C222003-06-01FINYes190 Lbs6 ft4NoNoN/ANoNo32025-06-13FalseFalsePro & Farm600,000$455,844$60,000$45,584$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Scott WedgewoodBANGOR PUPPIES (BEA)G331992-08-14CANNo217 Lbs6 ft2NoNoN/ANoYes2FalseFalsePro & Farm750,000$569,805$75,000$56,981$No750,000$--------40,000$--------No--------
Sebastian CossaBANGOR PUPPIES (BEA)G222002-11-21CANYes224 Lbs6 ft7NoNoN/ANoNo52025-06-13FalseFalsePro & Farm900,000$683,766$90,000$68,377$No900,000$900,000$900,000$900,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Victor SöderströmBANGOR PUPPIES (BEA)D242001-02-26SWEYes194 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm750,000$569,805$75,000$56,981$No750,000$750,000$-------40,000$40,000$-------NoNo-------
Ville HeinolaBANGOR PUPPIES (BEA)D242001-03-02FINNo187 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm750,000$569,805$75,000$56,981$No750,000$750,000$-------40,000$40,000$-------NoNo-------
William WallinderBANGOR PUPPIES (BEA)D232002-07-28SWEYes202 Lbs6 ft6NoNoN/ANoNo32024-06-09FalseFalsePro & Farm700,000$531,818$70,000$53,182$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Zach OstapchukBANGOR PUPPIES (BEA)C222003-05-29CANYes199 Lbs6 ft3NoNoN/ANoNo52025-06-13FalseFalsePro & Farm800,000$607,792$80,000$60,779$No800,000$800,000$800,000$800,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3424.76200 Lbs6 ft22.50844,368$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1J.T. MillerDylan HollowayMatvei Michkov40023
2Roope HintzAliaksei ProtasLogan Stankoven 30023
3Andrew CristallEmil BemströmJosh Doan20122
4Evgeny DadonovZach OstapchukDmitrij Jaskin10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Derrick Pouliot Victor Söderström40122
2Ryker EvansVille Heinola30122
3Colby RobakWilliam Wallinder20122
4Colby RobakWilliam Wallinder10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan HollowayAliaksei ProtasMatvei Michkov60014
2Andrew CristallEmil BemströmLogan Stankoven 40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryker EvansVictor Söderström60014
2William WallinderVille Heinola40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Aliaksei ProtasEvgeny Dadonov60041
2Roope HintzDmitrij Jaskin40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor SöderströmDerrick Pouliot 60050
2Ryker EvansVille Heinola40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Zach Ostapchuk60041Victor SöderströmVille Heinola60050
2J.T. Miller40041Ryker EvansWilliam Wallinder40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Logan Stankoven Roope Hintz60122
2J.T. MillerAndrew Cristall40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Derrick Pouliot Victor Söderström60122
2Ville HeinolaRyker Evans40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matvei MichkovAliaksei ProtasLogan Stankoven Ryker EvansVictor Söderström
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
J.T. MillerDylan HollowayEvgeny DadonovDerrick Pouliot Victor Söderström
Extra Forwards
Normal PowerPlayPenalty Kill
Aliaksei Protas, Andrew Cristall, Zach OstapchukJosh Doan, Roope HintzZach Ostapchuk
Extra Defensemen
Normal PowerPlayPenalty Kill
Ryker Evans, William Wallinder, Derrick Pouliot Derrick Pouliot William Wallinder, Colby Robak
Penalty Shots
Zach Ostapchuk, Evgeny Dadonov, Logan Stankoven , Aliaksei Protas, Roope Hintz
Goalie
#1 : Scott Wedgewood, #2 : Sebastian Cossa
Custom OT Lines Forwards
Aliaksei Protas, Matvei Michkov, Dylan Holloway, Logan Stankoven , Roope Hintz, Evgeny Dadonov, Emil Bemström, J.T. Miller, Zach Ostapchuk, Josh Doan
Custom OT Lines Defensemen
Ryker Evans, Victor Söderström, Ville Heinola, William Wallinder, Derrick Pouliot


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
1CALGARY WRANGLERS11000000523000000000001100000052321.00057120020312403421122625752512620200.00%30100.00%024747152.44%24443056.74%17433651.79%485297422182359176
2CHICAGO UNDERTAKERS2110000045-1110000002111010000024-220.5004610002031240632112262575481314373133.33%7271.43%024747152.44%24443056.74%17433651.79%485297422182359176
3COQUITLAM EXPRESS2110000067-12110000067-10000000000020.5006111700203124057211226257565208458225.00%40100.00%024747152.44%24443056.74%17433651.79%485297422182359176
4DETROIT STEELERS1010000035-2000000000001010000035-200.0003470020312403521122625753510422400.00%220.00%024747152.44%24443056.74%17433651.79%485297422182359176
5HAWAII PUNCH1010000024-2000000000001010000024-200.000235102031240342112262575415416400.00%20100.00%024747152.44%24443056.74%17433651.79%485297422182359176
6LAS CRUCES MESCALEROS1010000046-21010000046-20000000000000.0004812102031240292112262575339425000%2150.00%024747152.44%24443056.74%17433651.79%485297422182359176
7NEWTON NIGHTHAWKS22000000945110000004311100000051441.0009152400203124059211226257559191233200.00%6183.33%024747152.44%24443056.74%17433651.79%485297422182359176
8NORTH VAN ROCKERS312000001516-1312000001516-10000000000020.33315254000203124011021122625751073631664250.00%80100.00%024747152.44%24443056.74%17433651.79%485297422182359176
9PENSACOLA BLACK BEARS31100001101001000000123-12110000087130.5001019290020312401052112262575813119585120.00%7271.43%024747152.44%24443056.74%17433651.79%485297422182359176
10PHILADELPHIA PHANTOMS31200000912-32020000037-41100000065120.33391625002031240882112262575993027673133.33%11281.82%024747152.44%24443056.74%17433651.79%485297422182359176
11SYRACUSE BABY BULLS11000000523000000000001100000052321.0005101500203124047211226257525116172150.00%30100.00%024747152.44%24443056.74%17433651.79%485297422182359176
12VANCOUVER THOUSANDAIRES1000010034-1000000000001000010034-110.5003580020312403521122625753181018100.00%5180.00%024747152.44%24443056.74%17433651.79%485297422182359176
Total21910001017577-21146000013643-710540010039345200.47675129204202031240696211226257564920414542438821.05%601181.67%024747152.44%24443056.74%17433651.79%485297422182359176
_Since Last GM Reset21910001017577-21146000013643-710540010039345200.47675129204202031240696211226257564920414542438821.05%601181.67%024747152.44%24443056.74%17433651.79%485297422182359176
_Vs Conference19710001016573-81146000013643-7834001002930-1160.42165112177202031240615211226257559918113338734720.59%541179.63%024747152.44%24443056.74%17433651.79%485297422182359176
_Vs Division1036000013038-8513000011117-6523000001921-270.3503053831020312403202112262575296936820915320.00%29968.97%024747152.44%24443056.74%17433651.79%485297422182359176

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2120L17512920469664920414542420
All Games
GPWLOTWOTL SOWSOLGFGA
2191001017577
Home Games
GPWLOTWOTL SOWSOLGFGA
114600013643
Visitor Games
GPWLOTWOTL SOWSOLGFGA
105401003934
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
38821.05%601181.67%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
21122625752031240
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
24747152.44%24443056.74%17433651.79%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
485297422182359176


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
11NORTH VAN ROCKERS5BANGOR PUPPIES4LBoxScore
523PHILADELPHIA PHANTOMS3BANGOR PUPPIES2LBoxScore
628BANGOR PUPPIES2PENSACOLA BLACK BEARS4LBoxScore
947NORTH VAN ROCKERS7BANGOR PUPPIES5LBoxScore
1056BANGOR PUPPIES3VANCOUVER THOUSANDAIRES4LXBoxScore
1163BANGOR PUPPIES3DETROIT STEELERS5LBoxScore
1271BANGOR PUPPIES5SYRACUSE BABY BULLS2WBoxScore
1483CHICAGO UNDERTAKERS1BANGOR PUPPIES2WBoxScore
1698PHILADELPHIA PHANTOMS4BANGOR PUPPIES1LBoxScore
18111NEWTON NIGHTHAWKS3BANGOR PUPPIES4WBoxScore
19121BANGOR PUPPIES5NEWTON NIGHTHAWKS1WBoxScore
21132COQUITLAM EXPRESS2BANGOR PUPPIES3WBoxScore
22137BANGOR PUPPIES6PHILADELPHIA PHANTOMS5WBoxScore
24153BANGOR PUPPIES2HAWAII PUNCH4LBoxScore
26164PENSACOLA BLACK BEARS3BANGOR PUPPIES2LXXBoxScore
28175LAS CRUCES MESCALEROS6BANGOR PUPPIES4LBoxScore
31188BANGOR PUPPIES6PENSACOLA BLACK BEARS3WBoxScore
32193BANGOR PUPPIES2CHICAGO UNDERTAKERS4LBoxScore
34209NORTH VAN ROCKERS4BANGOR PUPPIES6WBoxScore
36221BANGOR PUPPIES5CALGARY WRANGLERS2WBoxScore
37226COQUITLAM EXPRESS5BANGOR PUPPIES3LBoxScore
39240BANGOR PUPPIES-NORTH VAN ROCKERS-
40248BANGOR PUPPIES-PINCHER CREEK WOLVERINES-
42260PHILADELPHIA PHANTOMS-BANGOR PUPPIES-
44272BANGOR PUPPIES-COQUITLAM EXPRESS-
46281CALGARY WRANGLERS-BANGOR PUPPIES-
48294DETROIT STEELERS-BANGOR PUPPIES-
50307BANGOR PUPPIES-DETROIT STEELERS-
52316NORTH VAN ROCKERS-BANGOR PUPPIES-
55331DETROIT STEELERS-BANGOR PUPPIES-
57343BANGOR PUPPIES-SYRACUSE BABY BULLS-
59350BANGOR PUPPIES-PHILADELPHIA PHANTOMS-
60361BANGOR PUPPIES-CHICAGO UNDERTAKERS-
62369HALIFAX HELL-BANGOR PUPPIES-
64383COLORADO CUBS-BANGOR PUPPIES-
66396BROOKLYN GRINDERS-BANGOR PUPPIES-
68404BANGOR PUPPIES-COLORADO CUBS-
70417BANGOR PUPPIES-CAPE BRETON LEPRECHAUNS-
71425BANGOR PUPPIES-HAWAII PUNCH-
72431BANGOR PUPPIES-PENSACOLA BLACK BEARS-
74442CHICAGO UNDERTAKERS-BANGOR PUPPIES-
76457CAPE FEAR WILDCATS-BANGOR PUPPIES-
78471CHICAGO UNDERTAKERS-BANGOR PUPPIES-
81485CALGARY WRANGLERS-BANGOR PUPPIES-
82490BANGOR PUPPIES-LAS CRUCES MESCALEROS-
84504BANGOR PUPPIES-PHILADELPHIA PHANTOMS-
86515PHILADELPHIA PHANTOMS-BANGOR PUPPIES-
88530PINCHER CREEK WOLVERINES-BANGOR PUPPIES-
90540BANGOR PUPPIES-MANHATTAN SWEDES-
91546BANGOR PUPPIES-DETROIT STEELERS-
93559COQUITLAM EXPRESS-BANGOR PUPPIES-
95572HAWAII PUNCH-BANGOR PUPPIES-
96577BANGOR PUPPIES-VANCOUVER THOUSANDAIRES-
99596NEWTON NIGHTHAWKS-BANGOR PUPPIES-
100602BANGOR PUPPIES-BROOKLYN GRINDERS-
102615DETROIT STEELERS-BANGOR PUPPIES-
104626BANGOR PUPPIES-BROOKLYN GRINDERS-
107640LAS CRUCES MESCALEROS-BANGOR PUPPIES-
108645BANGOR PUPPIES-HALIFAX HELL-
110661NEWTON NIGHTHAWKS-BANGOR PUPPIES-
112667BANGOR PUPPIES-PENSACOLA BLACK BEARS-
114681BANGOR PUPPIES-NORTH VAN ROCKERS-
115691BANGOR PUPPIES-COQUITLAM EXPRESS-
116697PENSACOLA BLACK BEARS-BANGOR PUPPIES-
118712BANGOR PUPPIES-CHICAGO UNDERTAKERS-
119721PENSACOLA BLACK BEARS-BANGOR PUPPIES-
121730BANGOR PUPPIES-CAPE FEAR WILDCATS-
Trade Deadline --- Trades can’t be done after this day is simulated!
123742LAS CRUCES MESCALEROS-BANGOR PUPPIES-
125756CAPE BRETON LEPRECHAUNS-BANGOR PUPPIES-
126763BANGOR PUPPIES-LAS CRUCES MESCALEROS-
128776BANGOR PUPPIES-LAS CRUCES MESCALEROS-
130787MANHATTAN SWEDES-BANGOR PUPPIES-
133802VANCOUVER THOUSANDAIRES-BANGOR PUPPIES-
134814SAN JOSE AVACADOES-BANGOR PUPPIES-
135816BANGOR PUPPIES-VANCOUVER THOUSANDAIRES-
137832BANGOR PUPPIES-HAWAII PUNCH-
139844EDMONTON OILERS-BANGOR PUPPIES-
140856BANGOR PUPPIES-SYRACUSE BABY BULLS-
141862BANGOR PUPPIES-EDMONTON OILERS-
144877HAWAII PUNCH-BANGOR PUPPIES-
146888BANGOR PUPPIES-NEWTON NIGHTHAWKS-
148896VANCOUVER THOUSANDAIRES-BANGOR PUPPIES-
149904BANGOR PUPPIES-SAN JOSE AVACADOES-
151916SYRACUSE BABY BULLS-BANGOR PUPPIES-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance19,05111,000
Attendance PCT86.60%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
31 2732 - 91.06% 75,617$831,785$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
972,286$ 2,870,850$ 2,870,850$ 1,176,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,870,850$ 689,754$ 34 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,344,121$ 117 26,278$ 3,074,526$




BANGOR PUPPIES 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

BANGOR PUPPIES Goalies Stat Leaders (Regular Season)

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

BANGOR PUPPIES 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

BANGOR PUPPIES 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

BANGOR PUPPIES Goalies Stat Leaders (Play-Off)

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