HKOrebro HK
46-27-4, 96pts · 7th in Lemieux Conference
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Tanner Pearson0LW/RW99.0074409372765494645465676456756073757332825,000$/2yrs
Andrew Copp9C/LW100.0069409169746168668067697054756770757030450,000$/1yrs
Tanner Jeannot0LW/RW100.0078818169815281605662647054635869756928675,000$/4yrs
William Carrier0LW100.0090408471815452605564626854675966756630450,000$/2yrs
Ryan Suzuki (R)0C/LW100.0066698866695684627360614658383865756524775,000$/1yrs
Vladislav Firstov (R)0LW100.0065658263655683585054615958383865756524925,000$/1yrs
Jack Devine (R)0RW100.0065658465655787605757575555343465756521475,000$/1yrs
Anthony Duclair0C/LW/RW100.0065408972736253605162656557725965756529875,000$/5yrs
Ryder Rolston (R)0C/LW/RW100.0065649263645578563448595855373762756223895,000$/2yrs
Brody Lamb (R)0RW100.0065639063635483553047584855333362756221450,000$/5yrs
Viktor Neuchev (R)0LW/RW100.0065639263635672595257575154363662756221450,000$/5yrs
Lucas Mercuri (R)0C/RW100.0066718464715584514546495746333360756023500,000$/1yrs
Cam York0D100.00634083697176805940665987546158767576241,600,000$/1yrs
Mikko Kokkonen (R)0D100.0065728565735378472538416139404059755924846,667$/1yrs
Jake Livanavage (R)0D100.0065648664645583502543415139363658755821450,000$/3yrs
Otto Salin (R)0D100.0065698866695683512543425040353557755721550,000$/1yrs
Tyrel Bauer (R)0D100.0065766164764978432530394837393955755523850,000$/1yrs
Jakub Dvorak (R)0D100.0065778063775163452534395537333355755520625,000$/1yrs
Scratches
Jared Wright (R)0RW100.0066699163695187493644475745343460756022450,000$/1yrs
Josh Bloom (R)0LW100.0066698963695363554347584955393959755922836,667$/2yrs
Liam O'Brien0C/LW100.0085968468794834545260566554615859755930450,000$/2yrs
Lucas Edmonds (R)0LW/RW100.0065668963665262503245505147363657755724861,667$/1yrs
Cole Spicer (R)0C/LW100.0066659363655264503246484746333357755721500,000$/1yrs
Cruz Lucius (R)0RW100.0065658462665170493245473945323257755721475,000$/5yrs
Alec Regula (R)0D87.7965777966775765522546427739414162756224775,000$/1yrs
Hunter McDonald (R)0D90.6665766664765384472538416639363659755923450,000$/1yrs
Luke Prokop (R)0D43.7165798165795567462535406538414158755823793,333$/1yrs
Dru Krebs (R)0D100.0065678264685383442533404238373755755522450,000$/1yrs
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 # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Remi Poirier098.505569626255625555555548424252755223836,667$/1yrs
Artur Akhtyamov0100.005064606150575050505043454549754923851,667$/2yrs
Scratches
Jonathan Quick090.827261717981747768796685947972757239650,000$/3yrs
Spencer Martin080.037048697067726768626578706163756330450,000$/1yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Andrew CoppHKHK (REV)C/LW70524910143120753378023015.43%2520.55107171122215363.43%202900021.4000
2Tanner JeannotHKHK (REV)LW/RW77395695385601802917719213.40%2118.8277140111908153.13%16000001.3100
3Anthony DuclairHKHK (REV)C/LW/RW7731568735140362916217110.65%1517.293811000746148.80%74800001.3100
4William CarrierHKHK (REV)LW71313970-84802253046819110.20%2418.0379160001104261.45%16600001.0900
5Jack DevineHKHK (REV)RW772146674240481865712011.29%1016.133131600062045.79%10700001.0800
6Ryan SuzukiHKHK (REV)C/LW772134551060521635812212.88%517.113710000872156.66%166600000.8300
7Vladislav FirstovHKHK (REV)LW77292150-1180881786213116.29%2412.95101000483143.24%7400001.0000
8Alec RegulaHKHK (REV)D586303663959110132455.94%9622.151910112148200.00%000000.5600
9Ryder RolstonHKHK (REV)C/LW/RW75152136-31803998337715.31%1311.04011000492131.47%85800000.8700
10Hunter McDonaldHKHK (REV)D77432362066101667018415.71%8221.20123000173300.00%000000.4400
11Luke ProkopHKHK (REV)D66101828242609767123314.93%10818.60022000117120.00%000000.4600
12Brody LambHKHK (REV)RW779182741406710023809.00%511.80000000270028.99%6900000.5900
13Cam YorkHKHK (REV)D22620267802552193711.54%4524.0532501157100.00%000100.9800
14Viktor NeuchevHKHK (REV)LW/RW77111526-32604712144829.09%1212.4910100074043.04%7900000.5400
15Lucas MercuriHKHK (REV)C/RW778715-8140768329529.64%79.99011000111141.29%80900000.3900
16Jake LivanavageHKHK (REV)D580151504401022410140.00%6818.1802200066000.00%000000.2800
17Tanner PearsonHKHK (REV)LW/RW155914-140105423359.26%519.94101000430146.56%13100000.9400
18Otto SalinHKHK (REV)D4321012-2140761951610.53%4317.4511200039000.00%000000.3200
19Jared WrightHKHK (REV)RW625510-2120355520349.09%49.8100000000039.13%4600000.3300
20Mikko KokkonenHKHK (REV)D44358-6315772592312.00%4220.5220200094000.00%000000.1800
21Jakub DvorakHKHK (REV)D22066-220036125110.00%2917.2100000021000.00%000000.3200
22Josh BloomHKHK (REV)LW1331440061631018.75%48.8500000000033.33%1500000.7000
23Liam O'BrienHKHK (REV)C/LW913406017941211.11%39.8500000001052.63%3800000.9000
24Tyrel BauerHKHK (REV)D912341002142325.00%816.7400000012010.00%000000.4000
25Dru KrebsHKHK (REV)D7000-280131210.00%616.550000007000.00%000000.0000
Team Total or Average13373135188311615382017052661757176311.76%70416.20447111517812461617451551.84%699500120.7700
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
1Jonathan QuickHKHK (REV)3320910.9003.4617532110110070200.0000335131
2Remi PoirierHKHK (REV)2915810.8833.98147920988390410.00002133110
3Spencer MartinHKHK (REV)2710920.8863.74128400806990200.00002220010
4Artur AkhtyamovHKHK (REV)41100.7895.711262012570000.0000119000
Team Total or Average93462740.8883.7646446129126020810.00007777251
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Alec Regula D24775,000$775,000$ RFA
Andrew Copp C/LW30450,000$450,000$ RFA
Anthony Duclair C/LW/RW29875,000$875,000$ 875,000$ 875,000$ 875,000$ 875,000$ UFA
Artur Akhtyamov G23851,667$851,667$ 851,667$ RFA
Brody Lamb RW21450,000$450,000$ 450,000$ 450,000$ 450,000$ 450,000$
Cam York D241,600,000$1,600,000$RFA
Cole Spicer C/LW21500,000$500,000$
Cruz Lucius RW21475,000$475,000$ 475,000$ 475,000$ 475,000$ 475,000$
Dru Krebs D22450,000$450,000$
Hunter McDonald D23450,000$450,000$
Jack Devine RW21475,000$475,000$
Jake Livanavage D21450,000$450,000$ 450,000$ 450,000$
Jakub Dvorak D20625,000$625,000$
Jared Wright RW22450,000$450,000$
Jonathan Quick G39650,000$650,000$ 650,000$ 650,000$ UFA
Josh Bloom LW22836,667$836,667$ 836,667$
Liam O'Brien C/LW30450,000$450,000$ 450,000$ RFA
Lucas Edmonds LW/RW24861,667$861,667$ RFA
Lucas Mercuri C/RW23500,000$500,000$
Luke Prokop D23793,333$793,333$
Mikko Kokkonen D24846,667$846,667$ RFA
Otto Salin D21550,000$550,000$
Remi Poirier G23836,667$836,667$ RFA
Ryan Suzuki C/LW24775,000$775,000$ RFA
Ryder Rolston C/LW/RW23895,000$895,000$ 895,000$ RFA
Spencer Martin G30450,000$450,000$ RFA
Tanner Jeannot LW/RW28675,000$675,000$ 675,000$ 675,000$ 675,000$ RFA
Tanner Pearson LW/RW32825,000$825,000$ 825,000$ UFA
Tyrel Bauer D23850,000$850,000$
Viktor Neuchev LW/RW21450,000$450,000$ 450,000$ 450,000$ 450,000$ 450,000$
Vladislav Firstov LW24925,000$925,000$ RFA
William Carrier LW30450,000$450,000$ 450,000$ RFA

Lines
Forward Lines


# - Tanner Pearson


# - Andrew Copp


# - Lucas Mercuri


# - Tanner Jeannot


# - Anthony Duclair


# - Jack Devine


# - William Carrier


# - Ryan Suzuki


# - Ryder Rolston


# - Vladislav Firstov


# - Ryder Rolston


# - Brody Lamb

Defensive Pairings


# - Cam York


# - Mikko Kokkonen


# - Jake Livanavage


# - Otto Salin


# - Jakub Dvorak

1st Power Play Unit


# - Tanner Pearson


# - Andrew Copp


# - Anthony Duclair


# - Cam York

2nd Power Play Unit


# - Tanner Jeannot


# - Anthony Duclair


# - Jack Devine


# - Mikko Kokkonen


# - Jake Livanavage

Goalies


# - Remi Poirier


# - Artur Akhtyamov

Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1HKNinjas220000005.001.503.5041.0005.010.015.00012710188936.09099229112328.05.53.0030.03.000.5016.67%1.500.00100.00%11497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5075.0%13.9%94.6%108.5LUCKY
2HKJunior Wolves210010004.503.501.0041.0004.57.512.00012710188930.59099229112326.06.511.5028.03.000.5016.67%4.001.0075.00%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5061.5%14.8%86.5%101.3FUN
3HKBulldogs211000005.003.501.5020.5005.010.015.00012710188935.59099229112330.011.510.0024.52.000.000.00%4.501.0077.78%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5066.7%14.1%88.3%102.4FUN
4HKShockers431000004.254.000.2560.7504.36.811.00012710188930.39099229112330.512.36.0023.53.000.5016.67%2.500.2590.00%01497289551.71%1397268152.11%732137953.08%453.75307.00449.75146.00258.50126.7550.0%14.0%86.9%100.9FUN
5HKGargoyles311010003.332.670.6740.6673.35.79.00012710188940.79099229112322.35.05.3319.34.671.0021.43%2.670.6775.00%01497289551.71%1397268152.11%732137953.08%605.00409.33599.67194.67344.67169.0053.8%8.2%88.1%96.3Unlucky
6HKSailors513010005.005.80-0.8040.4005.07.812.80012710188931.49099229112340.410.010.0028.41.601.0062.50%5.002.0060.00%01497289551.71%1397268152.11%732137953.08%363.00245.60359.80116.80206.80101.4051.3%15.9%85.6%101.6FUN
7HKDevils202000002.504.50-2.0000.0002.53.56.00012710188938.09099229112335.55.54.0017.53.501.0028.57%2.000.00100.00%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5025.0%6.6%87.3%93.9Unlucky
8HKEagles522001003.003.40-0.4050.5003.05.48.40012710188937.69099229112339.89.28.0022.63.400.4011.76%4.001.0075.00%01497289551.71%1397268152.11%732137953.08%363.00245.60359.80116.80206.80101.4052.0%8.0%91.5%99.4DULL
9HKRavens211000006.003.502.5020.5006.011.017.00012710188946.59099229112337.07.52.0020.53.501.0028.57%1.000.5050.00%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5062.5%12.9%90.5%103.4FUN
10HKVenom623001003.505.33-1.8350.4173.56.39.81012710188930.39099229112337.010.27.6725.31.830.8345.45%3.670.5086.36%01497289551.71%1397268152.11%732137953.08%302.50204.67299.8397.33172.3384.5035.6%11.5%85.6%97.1FUN
11HKIndians220000004.502.502.0041.0004.58.012.50012710188941.59099229112329.511.06.0029.04.501.0022.22%3.001.0066.67%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5070.0%10.8%91.5%102.4LUCKY
12HKSquirrels402020003.004.50-1.5040.5003.05.38.30012710188929.89099229112337.814.511.0023.53.250.5015.38%5.251.7566.67%01497289551.71%1397268152.11%732137953.08%453.75307.00449.75146.00258.50126.7547.6%10.1%88.1%98.2FUN
13HKBlades220000006.502.004.5041.0006.511.017.50012710188929.09099229112338.012.57.0020.53.000.000.00%3.500.00100.00%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5076.5%22.4%94.7%117.2LUCKY
14HKSharknado211000004.503.001.5020.5004.56.010.50012710188947.09099229112325.011.03.0025.04.001.0025.00%1.500.5066.67%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5058.3%9.6%88.0%97.6FUN
15HKBarking Spiders220000006.501.505.0041.0006.511.518.00112710188948.09099229112332.58.010.0020.03.001.0033.33%2.500.00100.00%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5078.6%13.5%95.4%108.9LUCKY
16HKSpace Invaders430010004.002.501.5081.0004.07.311.30012710188939.09099229112334.012.07.2519.01.750.7542.86%2.750.2590.91%01497289551.71%1397268152.11%732137953.08%453.75307.00449.75146.00258.50126.7559.1%10.3%92.6%102.9LUCKY
17HKCheckers220000005.503.502.0041.0005.510.015.50012710188946.09099229112330.56.06.0018.54.500.5011.11%3.002.0033.33%11497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5076.9%12.0%88.5%100.5FUN
18HKVikings422000005.003.751.2540.5005.09.314.30012710188940.39099229112337.59.011.0027.83.001.0033.33%5.001.0080.00%01497289551.71%1397268152.11%732137953.08%453.75307.00449.75146.00258.50126.7559.3%12.4%90.0%102.4FUN
19HKKangaroos211000003.503.500.0020.5003.57.010.50012710188929.59099229112333.511.56.0018.51.500.000.00%2.500.5080.00%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5053.8%11.9%89.6%101.4FUN
20HKThistles210001006.004.501.5030.7506.011.517.50012710188942.59099229112329.58.53.0021.04.001.0025.00%1.500.00100.00%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5052.6%14.1%84.7%98.9FUN
21HKBarracudas211000002.502.500.0020.5002.54.57.00012710188926.09099229112328.59.06.0018.04.000.5012.50%3.000.5083.33%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5050.0%9.6%91.2%100.8LUCKY
22HKSenators210010004.002.501.5041.0004.06.510.50012710188945.59099229112331.59.09.0023.55.000.000.00%3.500.5085.71%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5066.7%8.8%92.1%100.9DULL
23HKPimps211000004.004.000.0020.5004.06.010.00012710188936.09099229112333.010.511.0021.01.000.5050.00%4.500.5088.89%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5050.0%11.1%87.9%99.0FUN
24HKWolf Pack522010003.203.40-0.2060.6003.25.48.60012710188927.89099229112338.613.66.8018.83.800.6015.79%3.400.6082.35%01497289551.71%1397268152.11%732137953.08%363.00245.60359.80116.80206.80101.4048.1%11.5%91.2%102.7LUCKY
25HKAssassins210001004.004.000.0030.7504.07.011.00012710188937.09099229112333.010.05.0018.52.500.5020.00%2.500.5080.00%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5050.0%10.8%87.9%98.7FUN
26HKZolos311010005.335.330.0040.6675.38.013.30012710188941.79099229112331.39.06.6724.31.670.6740.00%2.670.3387.50%01497289551.71%1397268152.11%732137953.08%605.00409.33599.67194.67344.67169.0048.3%12.8%83.0%95.8FUN
27HKHuskies202000004.007.00-3.0000.0004.06.510.50012710188933.09099229112332.510.06.0024.52.000.000.00%3.000.5083.33%01497289551.71%1397268152.11%732137953.08%907.50614.00899.50292.00517.00253.5038.1%12.1%78.5%90.6FUN
_Vs Division29914042003.764.41-0.66280.4833.86.510.31012710188932.69099229112338.511.08.9024.32.760.7226.25%4.311.1074.40%01497289551.71%1397268152.11%732137953.08%62.5942.3462.0320.1435.6617.4847.8%11.5%88.5%100.1FUN
_Vs Conference492118073004.084.080.00590.6024.17.011.01012710188935.59099229112334.810.47.5723.22.920.7325.17%3.550.8675.86%11497289551.71%1397268152.11%732137953.08%37.0425.0636.7111.9221.1010.3550.9%11.5%88.3%99.8FUN
_Since Last GM Reset773727094004.223.790.43960.6234.27.311.51112710188935.99099229112333.89.97.3222.92.940.6421.68%3.320.7178.52%21497289551.71%1397268152.11%732137953.08%23.5715.9523.367.5813.436.5853.8%11.8%88.8%100.5FUN
Total773727094004.223.790.43960.6234.27.311.51112710188935.99099229112333.89.97.3222.92.940.6421.68%3.320.7178.52%21497289551.71%1397268152.11%732137953.08%23.5715.9523.367.5813.436.5853.8%11.8%88.8%100.5FUN

Puck Time
Offensive Zone 23
Neutral Zone 13
Defensive Zone 23
Puck Time
Offensive Zone Start 2895
Neutral Zone Start 1379
Defensive Zone Start 2681
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3626
Faceoffs Lost 3329
Team Average Shots after League Average Shots after
1st Period 11.89.57
2nd Period 23.820.31
3rd Period 35.630.68
Overtime 35.931.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.60.64
2nd Period 3.01.65
3rd Period 4.12.67
Overtime 4.22.83
Even Strenght Goal 273
PP Goal 49
PK Goal 2
Empty Net Goal 1
Home Away
Win 2125
Lost 1413
Overtime Lost 22
PP Attempt 226
PP Goal 49
PK Attempt 256
PK Goal Against 55
Home
Shots For 35.9
Shots Against 33.8
Goals For 4.2
Goals Against 3.8
Hits 22.9
Shots Blocked 9.9
Pim 7.3
Schedule
DateMatchup Result Detail
Sun, Dec 28HKOHK@HKSQUOHK4,SQU3 (OT)RECAP
Wed, Dec 31HKOHK@HKSPAOHK4,SPA3 (OT)RECAP
Sat, Jan 3 10:02HKOHK@HKBKSOHK9,BKS0RECAP
Sun, Jan 4 22:02HKOHK@HKDEVOHK2,DEV5RECAP
Mon, Jan 5HKOHK@HKRAVOHK5,RAV6RECAP
Thu, Jan 8HKVIK@HKOHKVIK2,OHK3RECAP
Sat, Jan 10 10:02HKSHA@HKOHKSHA3,OHK2RECAP
Wed, Jan 14HKASS@HKOHKASS2,OHK3RECAP
Fri, Jan 16HKOHK@HKWPKOHK5,WPK4 (OT)RECAP
Sun, Jan 18 10:02HKOHK@HKSPAOHK5,SPA2RECAP
Tue, Jan 20 12:28HKOHK@HKPIMOHK4,PIM3RECAP
Tue, Jan 27HKOHK@HKTHIOHK7,THI3RECAP
Fri, Jan 30HKOHK@HKBLAOHK8,BLA2RECAP
Sat, Jan 31 22:02HKOHK@HKKANOHK3,KAN2RECAP
Wed, Feb 4 09:14HKSHO@HKOHKSHO2,OHK3RECAP
Wed, Feb 4 22:02HKGRG@HKOHKGRG1,OHK2 (OT)RECAP
Tue, Feb 10 06:31HKNIN@HKOHKNIN2,OHK6RECAP
Wed, Feb 11 08:23HKSAI@HKOHKSAI9,OHK6RECAP
Thu, Feb 12HKSEN@HKOHKSEN2,OHK4RECAP
Sat, Feb 14 10:02HKEAG@HKOHKEAG2,OHK0RECAP
Sat, Feb 14 22:02HKRAV@HKOHKRAV1,OHK7RECAP
Mon, Feb 16HKOHK@HKSAIOHK6,SAI8RECAP
Thu, Feb 19HKOHK@HKEAGOHK5,EAG3RECAP
Sat, Feb 21HKPIM@HKOHKPIM5,OHK4RECAP
Mon, Feb 23HKTHI@HKOHKTHI6,OHK5 (OT)RECAP
Thu, Feb 26HKOHK@HKSPAOHK3,SPA2RECAP
Sun, Mar 1 10:02HKOHK@HKZOLOHK6,ZOL3RECAP
Sun, Mar 1 22:02HKOHK@HKSHOOHK5,SHO4RECAP
Tue, Mar 3HKOHK@HKINDOHK4,IND1RECAP
Thu, Mar 5HKOHK@HKCANOHK4,CAN7RECAP
Sat, Mar 7 10:02HKOHK@HKSENOHK4,SEN3 (OT)RECAP
Sun, Mar 8 22:02HKOHK@HKBAROHK3,BAR2RECAP
Thu, Mar 12HKSAI@HKOHKSAI5,OHK4RECAP
Sat, Mar 14 22:02HKOHK@HKASSOHK5,ASS6 (OT)RECAP
Sun, Mar 15 22:02HKOHK@HKNINOHK4,NIN1RECAP
Sat, Mar 21 10:02HKOHK@HKSAIOHK5,SAI4 (OT)RECAP
Sat, Mar 21 22:02HKSHO@HKOHKSHO4,OHK7RECAP
Sun, Mar 22 22:02HKOHK@HKVIKOHK4,VIK6RECAP
Wed, Mar 25HKVEN@HKOHKVEN2,OHK3RECAP
Sat, Mar 28 10:02HKIND@HKOHKIND4,OHK5RECAP
Sat, Mar 28 22:02HKCHE@HKOHKCHE4,OHK6RECAP
Mon, Mar 30HKOHK@HKVENOHK1,VEN7RECAP
Wed, Apr 1HKOHK@HKWPKOHK4,WPK3RECAP
Sat, Apr 4 09:02HKVEN@HKOHKVEN9,OHK4RECAP
Sun, Apr 5 09:02HKBKS@HKOHKBKS3,OHK4RECAP
Sun, Apr 5 21:02HKOHK@HKVENOHK2,VEN4RECAP
Tue, Apr 7 21:02HKVEN@HKOHKVEN6,OHK5 (OT)RECAP
Thu, Apr 9 21:02HKSPA@HKOHKSPA3,OHK4RECAP
Sat, Apr 11 09:02HKBAR@HKOHKBAR3,OHK2RECAP
Sun, Apr 12 21:02HKOHK@HKGRGOHK3,GRG4RECAP
Wed, Apr 15 21:02HKOHK@HKCHEOHK5,CHE3RECAP
Sat, Apr 18 09:02HKOHK@HKJWOOHK3,JWO2 (OT)RECAP
Sun, Apr 19 21:02HKWPK@HKOHKWPK3,OHK2RECAP
Mon, Apr 20HKSQU@HKOHKSQU7,OHK3RECAP
Wed, Apr 22HKBLA@HKOHKBLA2,OHK5RECAP
Thu, Apr 23HKEAG@HKOHKEAG1,OHK3RECAP
Sat, Apr 25 09:02HKOHK@HKWPKOHK1,WPK4RECAP
Sat, Apr 25 21:02HKOHK@HKSQUOHK0,SQU4RECAP
Mon, Apr 27HKOHK@HKVENOHK6,VEN4RECAP
Tue, Apr 28HKJWO@HKOHKJWO5,OHK6RECAP
Fri, May 1HKOHK@HKEAGOHK5,EAG6 (OT)RECAP
Sun, May 3 09:03HKOHK@HKVIKOHK4,VIK5RECAP
Wed, May 6HKCAN@HKOHKCAN7,OHK4RECAP
Fri, May 8HKGRG@HKOHKGRG3,OHK5RECAP
Sat, May 9 09:02HKDEV@HKOHKDEV4,OHK3RECAP
Sun, May 10 09:02HKVIK@HKOHKVIK2,OHK9RECAP
Sun, May 10 21:02HKEAG@HKOHKEAG5,OHK2RECAP
Wed, May 13HKOHK@HKSQUOHK5,SQU4 (OT)RECAP
Fri, May 15HKBUL@HKOHKBUL2,OHK6RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Sun, May 17HKWPK@HKOHKWPK3,OHK4RECAP
Tue, May 19HKSAI@HKOHKSAI3,OHK4RECAP
Thu, May 21HKKAN@HKOHKKAN5,OHK4RECAP
Sat, May 23HKZOL@HKOHKZOL7,OHK3RECAP
Mon, May 25HKOHK@HKBULOHK4,BUL5RECAP
Thu, May 28HKOHK@HKSHAOHK7,SHA3RECAP
Sat, May 30 21:53HKOHK@HKZOLOHK7,ZOL6 (OT)RECAP
Sun, May 31 21:02HKOHK@HKSHOOHK2,SHO6RECAP
Tue, Jun 2HKOHK@HKVIK
Fri, Jun 5HKSHA@HKOHK
Sat, Jun 6 PMHKTHI@HKOHK
Sun, Jun 7 AMHKCHE@HKOHK
Tue, Jun 9HKSQU@HKOHK

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
1,910,335$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityOrebro
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$15$$$$
Attendance6096730250
Attendance PCT82.39%81.76%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 2465 - 82.18% 69,935$2,587,595$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
1,910,335$ 1,910,335$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
1,864,565$ 8,881$ 1,805,793$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
279,740$ 12 9,847$ 118,164$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
118,164$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

HK46-27-4, 96pts76Final
Zolos50-23-4, 104pts

HK46-27-4, 96pts26Final
Shockers51-23-3, 105pts

HK46-27-4, 96ptsWed, Jun 10
Shockers51-23-3, 105pts

HK46-27-4, 96ptsSun, Dec 14
Space Invaders24-44-7, 55pts

HK46-27-4, 96ptsWed, Dec 17
Barking Spiders25-41-11, 61pts

TRANSACTIONS



 

Team Info

HK
Head Coach
DivisionSalming
CityOrebro
Stadium Capacity3,000

HK Affiliation

HK
General ManagerMark Drebert
Head Coach
Stadium
Capacity18,000

Team Leaders


GOALS
Andrew Copp
HKHK
52
GOALS
POINTS
Andrew Copp
HKHK
101
POINTS
WINS
Jonathan Quick
HKHK
20
WINS
Expanded Player Leaderboard

Team Stats


Goals For
325
4.22 GFG
Goals Against
292
3.79 GAA
Power Play Percentage
21.7%
49 GF
Penalty Kill Percentage
78.5%
55 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain