MeteorsCalgary Meteors
16-30-6, 38pts · 13th in Canadian 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
Ryan Nugent-Hopkins0C/LW100.00364779236384918074858372597373787578276,000,000$/2yrs
Denis Guryanov (R)0LW/RW100.0053498530706389802573875025555575757523894,166$/2yrs
Oskar Sundqvist0C100.00554079347267837357748472256062747574262,750,000$/3yrs
Chandler Stephenson (R)0C/LW100.00463983356767827173798274256365747574261,050,000$/3yrs
Zack Kassian0RW100.00847166317470867334798456257071737573291,950,000$/1yrs
Marcus Johansson0C/LW100.00433982346975767371868063257580727572292,250,000$/2yrs
Chris Wagner14C/LW/RW100.0087687546676289595571777563666770757029625,000$/2yrs
Tim Schaller0C/LW/RW100.0053408347735970583668808225626370757029950,000$/1yrs
Tyler Motte0C/LW/RW100.0096418242576471703971806725595970757025550,000$/1yrs
Micheal Ferland0LW/RW100.0087837946745562592674755225656664756428750,000$/1yrs
Austin Poganski (R)0RW100.0062308251697377755079755454444462756224750,000$/1yrs
Steven Fogarty0C/RW100.0060327751728186757979755957454562756227450,000$/3yrs
Victor Hedman0D100.00555080338190859625997682617782867586295,750,000$/1yrs
Brenden Dillon0D100.00857961518278937525807586257477777577292,400,000$/1yrs
Josh Manson0D100.00765274517481797525797588256667767576284,510,000$/1yrs
Mark Pysyk0RWD100.00463982406860818444818260256767747574281,400,000$/2yrs
Michal Kempny0D100.0043388144637682822586746325616370757029575,000$/1yrs
Scratches
Paul Carey0C/LW100.0055307451687781757879755262474861756131450,000$/3yrs
Nathan Beaulieu0D63.66648374467270627825827379256667747574271,000,000$/1yrs
Brian Lashoff0D100.0064747451786672752579757139636468756829450,000$/3yrs
TEAM AVERAGE98.15635178427171807445797868366364727572
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
Antti Raanta0100.0080565771959099899992586263807580302,125,000$/3yrs
Linus Ullmark0100.008168668899908295999589565678757826750,000$/2yrs
Scratches
TEAM AVERAGE100.0081626280979091929994745960797579
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joel Quenneville75768784928553CAN6140$
General Manager
Mark Pagica
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
1Ryan Nugent-HopkinsMeteorsMeteors0C/LW52122234-220018111277610.81%2918.442791121411250.76%85187000.7101
2Zack KassianMeteorsMeteors0RW521518330280155129336511.63%1016.4323500003024.32%37181010.7700
3Denis GuryanovMeteorsMeteors0LW/RW52121830-41204194366412.77%514.172241011262110.87%46180000.8111
4Mark PysykMeteorsMeteors0RW/D529192811202614253866.34%2617.67145000871040.00%25408000.6100
5Oskar SundqvistMeteorsMeteors0C52718251100598839597.95%3116.09101101970042.26%627166000.6000
6Victor HedmanMeteorsMeteors0D4361723-16180629852356.12%8423.64336112118000.00%01915000.4500
7Brenden DillonMeteorsMeteors0D524172109951509033364.44%7522.51167022145200.00%01522000.3600
8Josh MansonMeteorsMeteors0D5241115-650101358636374.65%9822.86224022168000.00%01128000.2500
9Michal KempnyMeteorsMeteors0D514711-101602439272010.26%3715.3101101165000.00%097000.2800
10Marcus JohanssonMeteorsMeteors0C/LW513710-180175217315.77%910.9601100000048.78%8283000.3600
11Nathan BeaulieuMeteorsMeteors0D3937105391540319249.68%3412.9600000017000.00%069000.4000
12Chandler StephensonMeteorsMeteors0C/LW36459240195421257.41%612.09011000220025.00%32102000.4100
13Tyler MotteMeteorsMeteors0C/LW/RW31325-560556113384.92%712.06000000170033.33%78102000.2700
14Chris WagnerMeteorsMeteors14C/LW/RW37134-83010673515232.86%1012.32000000280145.49%24436000.1800
15Steven FogartyMeteorsMeteors0C/RW31044-480174315280.00%610.0500000000047.37%190224000.2600
16Brian LashoffMeteorsMeteors0D34123-712030228154.55%3410.1100000018000.00%063000.1700
17Austin PoganskiMeteorsMeteors0RW29022-340223515310.00%710.9400000040041.18%17180000.1300
18Paul CareyMeteorsMeteors0C/LW110111207142140.00%110.8200000080050.00%420000.1700
19Micheal FerlandMeteorsMeteors0LW/RW42011-72006122690.00%1012.9000000070031.58%1932000.0400
20Tim SchallerMeteorsMeteors0C/LW/RW16101-3801015476.67%412.77000000100021.43%1431000.1000
Team Total or Average81589181270-6640640101512614617237.06%52315.50143044843471110879444.75%2266245126010.4312
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
1Linus UllmarkMeteorsMeteors2491230.9083.0113552168738386101.00032122330
2Antti RaantaMeteorsMeteors3061630.9003.2616554190900451130.2504302131
Team Total or Average54152860.9043.153011621581638837230.57175124461
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
1MeteorsRevolution101000001.004.00-3.0000.0001.02.03.000010029.08129038.024.012.0020.02.000.000.00%6.002.0066.67%0453101444.67%493114543.06%29663346.76%20.0011.0025.007.0014.007.0033.3%3.4%89.5%92.9Unlucky
2MeteorsWolves531001002.602.200.4070.7002.64.47.010634029.2563751227.412.26.8022.42.800.4014.29%3.400.8076.47%0453101444.67%493114543.06%29663346.76%21.8013.2022.408.2016.008.0061.1%8.9%92.0%100.9Unlucky
3MeteorsThunder202000003.505.50-2.0000.0003.56.09.500412027.0161622039.514.512.0020.01.500.5033.33%6.001.5075.00%2453101444.67%493114543.06%29663346.76%17.509.5026.508.5015.507.5042.9%13.0%86.1%99.0FUN
4MeteorsLynx220000003.501.002.5041.0003.55.59.001223025.5241611036.512.09.5020.53.501.0028.57%3.500.00100.00%0453101444.67%493114543.06%29663346.76%19.5012.0025.507.5014.006.5071.4%13.7%97.3%111.0LUCKY
5MeteorsMounties201010002.502.500.0020.5002.55.07.500022130.0171920435.08.010.5015.01.000.000.00%4.000.5087.50%0453101444.67%493114543.06%29663346.76%18.5011.0025.508.5016.007.5055.6%8.3%92.9%101.2DULL
6MeteorsHellcats101000001.004.00-3.0000.0001.02.03.000010038.081416034.07.016.0031.02.000.000.00%8.004.0050.00%1453101444.67%493114543.06%29663346.76%21.0012.0023.008.0014.006.00100.0%2.6%88.2%90.9Unlucky
7MeteorsMavericks532000002.602.200.4060.6002.64.87.400733029.6565537035.211.211.0022.22.600.4015.38%4.000.4090.00%2453101444.67%493114543.06%29663346.76%22.6014.4021.807.6015.407.8055.0%8.8%93.8%102.5DULL
8MeteorsMustangs201001002.503.50-1.0010.2502.54.06.500050029.5231917030.510.08.0018.02.000.000.00%4.000.5087.50%0453101444.67%493114543.06%29663346.76%20.0012.0024.508.0015.007.0045.5%8.5%88.5%97.0Unlucky
9MeteorsStompers200001013.004.00-1.0020.5003.06.09.000213233.0142129639.016.09.0021.02.500.5020.00%4.501.0077.78%1453101444.67%493114543.06%29663346.76%20.5012.5026.008.5016.007.5045.5%9.1%89.7%98.8FUN
10MeteorsTrappers202000002.504.00-1.5000.0002.54.57.000131023.5191414035.016.08.0021.52.501.5060.00%4.000.5087.50%0453101444.67%493114543.06%29663346.76%17.509.5026.008.5015.507.0022.2%10.6%88.6%99.2FUN
11MeteorsBraves101000003.005.00-2.0000.0003.05.08.010201032.071312021.010.06.0025.02.000.000.00%3.000.00100.00%0453101444.67%493114543.06%29663346.76%22.0014.0021.008.0015.007.0037.5%9.4%76.2%85.6FUN
12MeteorsBisons201010003.003.000.0020.5003.06.09.000131136.026369127.510.08.0022.52.500.5020.00%4.000.5087.50%0453101444.67%493114543.06%29663346.76%24.5016.0021.007.0014.507.0050.0%8.3%89.1%97.4Unlucky
13MeteorsGreat Whites100001001.002.00-1.0010.5001.02.03.000010026.02168041.013.08.0020.02.000.000.00%4.000.00100.00%0453101444.67%493114543.06%29663346.76%19.0012.0026.008.0014.006.0033.3%3.8%95.1%99.0DULL
14MeteorsJaguars110000004.001.003.0021.0004.07.011.000013031.09913022.010.08.0015.03.001.0033.33%4.001.0075.00%0453101444.67%493114543.06%29663346.76%22.0014.0021.008.0015.007.00100.0%12.9%95.5%108.4LUCKY
15MeteorsSlapshots202000001.504.50-3.0000.0001.53.04.500021032.5212519035.510.016.5019.54.000.5012.50%4.502.5044.44%0453101444.67%493114543.06%29663346.76%22.5015.0023.008.0014.007.0033.3%4.6%87.3%91.9Unlucky
16MeteorsDragons101000001.003.00-2.0000.0001.01.02.000100035.012149029.08.06.0028.05.001.0020.00%3.000.00100.00%0453101444.67%493114543.06%29663346.76%26.0017.0018.007.0015.008.000.0%2.9%89.7%92.5Unlucky
17MeteorsKnights202000003.505.00-1.5000.0003.56.510.000322026.5142415032.011.06.0022.52.501.0040.00%3.000.5083.33%0453101444.67%493114543.06%29663346.76%19.0010.5025.008.5015.007.5035.7%13.2%84.4%97.6FUN
18MeteorsCrusaders201010002.502.500.0020.5002.54.06.500211132.0211527130.010.58.0020.51.000.000.00%4.001.5062.50%0453101444.67%493114543.06%29663346.76%22.5014.0021.007.5016.008.0071.4%7.8%91.7%99.5DULL
19MeteorsButchers404000001.504.00-2.5000.0001.53.04.510411028.8423538033.013.37.0021.32.250.2511.11%3.501.0071.43%0453101444.67%493114543.06%29663346.76%20.2512.0024.258.0015.007.2529.4%5.2%87.9%93.1Unlucky
20MeteorsGrinders101000001.004.00-3.0000.0001.02.03.000010023.0698026.04.08.0032.02.000.000.00%4.000.00100.00%0453101444.67%493114543.06%29663346.76%22.0013.0020.008.0016.008.0020.0%4.3%84.6%89.0Unlucky
21MeteorsAverage Joes411001102.251.251.0050.6252.34.06.301323131.3393846531.515.85.0021.34.500.5011.11%2.500.2590.00%0453101444.67%493114543.06%29663346.76%22.0013.7523.758.5015.257.7563.6%7.2%96.0%103.2DULL
22MeteorsBlack Frost100010005.004.001.0021.0005.010.015.000103134.07620128.016.06.0026.05.001.0020.00%3.001.0066.67%0453101444.67%493114543.06%29663346.76%24.0015.0020.007.0016.008.0057.1%14.7%85.7%100.4FUN
23MeteorsHitmen404000002.504.25-1.7500.0002.54.57.000343028.0335128035.313.39.2521.81.500.2516.67%4.001.2568.75%0453101444.67%493114543.06%29663346.76%19.5011.5024.008.2516.007.7542.9%8.9%87.9%96.9Unlucky
24MeteorsRink Rats110000003.002.001.0021.0003.05.08.000201033.08178035.06.012.0025.04.002.0050.00%6.001.0083.33%0453101444.67%493114543.06%29663346.76%20.0011.0023.008.0016.007.0050.0%9.1%94.3%103.4LUCKY
25MeteorsTitans101000002.006.00-4.0000.0002.03.05.000110036.071613035.011.08.0013.02.000.000.00%4.001.0075.00%0453101444.67%493114543.06%29663346.76%20.0013.0023.008.0015.007.0028.6%5.6%82.9%88.4Unlucky
_Vs Division2179003112.332.71-0.38200.4762.34.26.621231114330.32142022141332.613.17.7621.32.900.3813.11%3.520.6781.08%3453101444.67%493114543.06%29663346.76%21.6713.4323.388.1915.577.7648.8%7.7%91.7%99.4DULL
_Vs Conference31719003112.483.35-0.87200.3232.54.57.031351922329.42903152991332.712.78.0621.82.550.3915.19%3.710.7480.00%5453101444.67%493114543.06%29663346.76%21.0612.8723.688.2615.687.7744.5%8.5%89.8%98.2Unlucky
_Since Last GM Reset521130045112.483.19-0.71380.3652.54.56.932454138729.94955474992032.712.18.7521.52.600.4617.78%3.940.8578.54%6453101444.67%493114543.06%29663346.76%21.1713.0423.678.2315.527.6246.3%8.3%90.2%98.5Unlucky
Total521130045112.483.19-0.71380.3652.54.56.932454138729.94955474992032.712.18.7521.52.600.4617.78%3.940.8578.54%6453101444.67%493114543.06%29663346.76%21.1713.0423.678.2315.527.6246.3%8.3%90.2%98.5Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 15
Defensive Zone 23
Puck Time
Offensive Zone Start 1014
Neutral Zone Start 633
Defensive Zone Start 1145
Puck Time
With Puck 28
Without Puck 31
Faceoffs
Faceoffs Won 1242
Faceoffs Lost 1550
Team Average Shots after League Average Shots after
1st Period 9.59.57
2nd Period 20.020.31
3rd Period 29.630.68
Overtime 30.031.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.71.65
3rd Period 2.42.67
Overtime 2.52.83
Even Strenght Goal 96
PP Goal 24
PK Goal 6
Empty Net Goal 3
Home Away
Win 106
Lost 1416
Overtime Lost 33
PP Attempt 135
PP Goal 24
PK Attempt 205
PK Goal Against 44
Home
Shots For 29.9
Shots Against 32.7
Goals For 2.5
Goals Against 3.2
Hits 21.5
Shots Blocked 12.1
Pim 8.8
Cap Hit
Meteors
Total Salaries 41,501,916$
Projected Total Cap Hit49,697,377$
Projected Cap Space29,302,623$
Retains And Buyout Cap Hit0$
Salary Cap To Date32,761,171$
Players Signed (45 – 55)54
Goalies Signed (min. 6) 9
Defensemen Signed (min. 16) 18
LTIR Players1
Meteors Roster Pos Age Base
Salary
Cap Hit
Remaining
Season
39
Season
40
Season
41
Season
42
Season
43
Season
44
Season
45
Season
46
Antti RaantaG302,125,000$811,155$2,125,000$2,125,000$2,125,000$UFA
Austin Poganski RW24750,000$286,290$750,000$ RFA
Brenden DillonD292,400,000$916,129$2,400,000$UFA
Brian Lashoff D29450,000$171,774$450,000$ 450,000$ 450,000$ UFA
Chandler Stephenson C/LW261,050,000$400,806$1,050,000$ 1,050,000$ 1,050,000$ UFA
Chris Wagner C/LW/RW29625,000$238,575$625,000$ 625,000$ UFA
Denis Guryanov LW/RW23894,166$341,321$894,166$ 894,166$ RFA
Josh MansonD284,510,000$1,721,559$4,510,000$UFA
Linus Ullmark G26750,000$286,290$750,000$ 750,000$ UFA
Marcus JohanssonC/LW292,250,000$858,870$2,250,000$2,250,000$UFA
Mark Pysyk RW/D281,400,000$534,408$1,400,000$ 1,400,000$ UFA
Michal Kempny D29575,000$219,489$575,000$ UFA
Micheal Ferland LW/RW28750,000$286,290$750,000$ UFA
Nathan Beaulieu D271,000,000$381,720$1,000,000$ UFA
Oskar SundqvistC262,750,000$1,049,731$2,750,000$2,750,000$2,750,000$UFA
Paul Carey C/LW31450,000$171,774$450,000$ 450,000$ 450,000$ UFA
Ryan Nugent-HopkinsC/LW276,000,000$2,290,322$6,000,000$6,000,000$UFA
Steven Fogarty C/RW27450,000$171,774$450,000$ 450,000$ 450,000$ UFA
Tim Schaller C/LW/RW29950,000$362,634$950,000$ UFA
Tyler Motte C/LW/RW25550,000$209,946$550,000$ RFA
Victor HedmanD295,750,000$2,194,892$5,750,000$UFA
Zack KassianRW291,950,000$744,354$1,950,000$UFA
Farm Roster Pos Age Base
Salary
Cap Hit
Remaining
Season
39
Season
40
Season
41
Season
42
Season
43
Season
44
Season
45
Season
46
Aapeli Rasanen C22450,000$18,462$45,000$ 45,000$ RFA
Aarne Talvitie C/LW21450,000$18,462$45,000$ RFA
Aaro Vidgren RW23575,000$23,590$57,500$ 57,500$ 57,500$ RFA
Adam Werner G23750,000$30,769$75,000$ 75,000$ RFA
Alexander Yelesin D24450,000$18,462$45,000$ 45,000$ RFA
Brandon Duhaime LW/RW23500,000$20,513$50,000$ RFA
Brian Elliott G341,400,000$57,436$140,000$ UFA
Calle Sjalin D20475,000$19,487$47,500$ RFA
Carter Hutton G342,100,000$801,612$2,100,000$UFA
Christian Wolanin D25925,000$37,949$92,500$ RFA
Colton White D23728,333$29,880$72,833$ RFA
Dennis Cholowski D22894,166$36,684$89,417$ 89,417$ RFA
Eetu Makiniemi G21500,000$20,513$50,000$ RFA
Filip Kral D20475,000$19,487$47,500$ RFA
Hunter Drew D21450,000$18,462$45,000$ RFA
Jack LaFontaine G22600,000$24,615$60,000$ 60,000$ 60,000$ RFA
Jack McBain C20625,000$25,641$62,500$ RFA
Jake Oettinger G21725,000$29,744$72,500$ RFA
Jarkko Parikka D22600,000$24,615$60,000$ RFA
Jay O'Brien C20875,000$35,897$87,500$ 87,500$ RFA
Julien Gauthier RW22863,333$35,419$86,333$ 86,333$ 86,333$ RFA
Karch Bachman LW23450,000$18,462$45,000$ 45,000$ RFA
Kody Clark RW20725,000$29,744$72,500$ RFA
Milan Gulas RW341,316,666$54,017$131,667$ 131,667$ UFA
Oskar Back C20625,000$25,641$62,500$ RFA
Roope Laavainen D21500,000$20,513$50,000$ RFA
Ryan O'Reilly2 RW20550,000$22,564$55,000$ RFA
Sean Durzi D21475,000$19,487$47,500$ RFA
Serron Noel RW19725,000$29,744$72,500$ 72,500$ RFA
Stanislav Demin D20550,000$22,564$55,000$ RFA
Stuart Skinner G21550,000$22,564$55,000$ RFA
Zack MacEwen RW23450,000$18,462$45,000$ RFA

Lines
Forward Lines


Denis Guryanov


Ryan Nugent-Hopkins


Mark Pysyk


Chandler Stephenson


Oskar Sundqvist


Zack Kassian


Tim Schaller


Chris Wagner


Tyler Motte


Micheal Ferland


Steven Fogarty


Austin Poganski

Defensive Pairings


Brenden Dillon


Josh Manson


Michal Kempny


Victor Hedman


Micheal Ferland

1st Power Play Unit


Denis Guryanov


Ryan Nugent-Hopkins


Mark Pysyk


Brenden Dillon


Josh Manson

2nd Power Play Unit


Chandler Stephenson


Oskar Sundqvist


Zack Kassian


Michal Kempny


Victor Hedman

Goalies


Antti Raanta


Linus Ullmark

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
1MeteorsRevolution101000001.004.00-3.0000.0001.02.03.000010029.08129038.024.012.0020.02.000.000.00%6.002.0066.67%0453101444.67%493114543.06%29663346.76%20.0011.0025.007.0014.007.0033.3%3.4%89.5%92.9Unlucky
2MeteorsWolves531001002.602.200.4070.7002.64.47.010634029.2563751227.412.26.8022.42.800.4014.29%3.400.8076.47%0453101444.67%493114543.06%29663346.76%21.8013.2022.408.2016.008.0061.1%8.9%92.0%100.9Unlucky
3MeteorsThunder202000003.505.50-2.0000.0003.56.09.500412027.0161622039.514.512.0020.01.500.5033.33%6.001.5075.00%2453101444.67%493114543.06%29663346.76%17.509.5026.508.5015.507.5042.9%13.0%86.1%99.0FUN
4MeteorsLynx220000003.501.002.5041.0003.55.59.001223025.5241611036.512.09.5020.53.501.0028.57%3.500.00100.00%0453101444.67%493114543.06%29663346.76%19.5012.0025.507.5014.006.5071.4%13.7%97.3%111.0LUCKY
5MeteorsMounties201010002.502.500.0020.5002.55.07.500022130.0171920435.08.010.5015.01.000.000.00%4.000.5087.50%0453101444.67%493114543.06%29663346.76%18.5011.0025.508.5016.007.5055.6%8.3%92.9%101.2DULL
6MeteorsHellcats101000001.004.00-3.0000.0001.02.03.000010038.081416034.07.016.0031.02.000.000.00%8.004.0050.00%1453101444.67%493114543.06%29663346.76%21.0012.0023.008.0014.006.00100.0%2.6%88.2%90.9Unlucky
7MeteorsMavericks532000002.602.200.4060.6002.64.87.400733029.6565537035.211.211.0022.22.600.4015.38%4.000.4090.00%2453101444.67%493114543.06%29663346.76%22.6014.4021.807.6015.407.8055.0%8.8%93.8%102.5DULL
8MeteorsMustangs201001002.503.50-1.0010.2502.54.06.500050029.5231917030.510.08.0018.02.000.000.00%4.000.5087.50%0453101444.67%493114543.06%29663346.76%20.0012.0024.508.0015.007.0045.5%8.5%88.5%97.0Unlucky
9MeteorsStompers200001013.004.00-1.0020.5003.06.09.000213233.0142129639.016.09.0021.02.500.5020.00%4.501.0077.78%1453101444.67%493114543.06%29663346.76%20.5012.5026.008.5016.007.5045.5%9.1%89.7%98.8FUN
10MeteorsTrappers202000002.504.00-1.5000.0002.54.57.000131023.5191414035.016.08.0021.52.501.5060.00%4.000.5087.50%0453101444.67%493114543.06%29663346.76%17.509.5026.008.5015.507.0022.2%10.6%88.6%99.2FUN
11MeteorsBraves101000003.005.00-2.0000.0003.05.08.010201032.071312021.010.06.0025.02.000.000.00%3.000.00100.00%0453101444.67%493114543.06%29663346.76%22.0014.0021.008.0015.007.0037.5%9.4%76.2%85.6FUN
12MeteorsBisons201010003.003.000.0020.5003.06.09.000131136.026369127.510.08.0022.52.500.5020.00%4.000.5087.50%0453101444.67%493114543.06%29663346.76%24.5016.0021.007.0014.507.0050.0%8.3%89.1%97.4Unlucky
13MeteorsGreat Whites100001001.002.00-1.0010.5001.02.03.000010026.02168041.013.08.0020.02.000.000.00%4.000.00100.00%0453101444.67%493114543.06%29663346.76%19.0012.0026.008.0014.006.0033.3%3.8%95.1%99.0DULL
14MeteorsJaguars110000004.001.003.0021.0004.07.011.000013031.09913022.010.08.0015.03.001.0033.33%4.001.0075.00%0453101444.67%493114543.06%29663346.76%22.0014.0021.008.0015.007.00100.0%12.9%95.5%108.4LUCKY
15MeteorsSlapshots202000001.504.50-3.0000.0001.53.04.500021032.5212519035.510.016.5019.54.000.5012.50%4.502.5044.44%0453101444.67%493114543.06%29663346.76%22.5015.0023.008.0014.007.0033.3%4.6%87.3%91.9Unlucky
16MeteorsDragons101000001.003.00-2.0000.0001.01.02.000100035.012149029.08.06.0028.05.001.0020.00%3.000.00100.00%0453101444.67%493114543.06%29663346.76%26.0017.0018.007.0015.008.000.0%2.9%89.7%92.5Unlucky
17MeteorsKnights202000003.505.00-1.5000.0003.56.510.000322026.5142415032.011.06.0022.52.501.0040.00%3.000.5083.33%0453101444.67%493114543.06%29663346.76%19.0010.5025.008.5015.007.5035.7%13.2%84.4%97.6FUN
18MeteorsCrusaders201010002.502.500.0020.5002.54.06.500211132.0211527130.010.58.0020.51.000.000.00%4.001.5062.50%0453101444.67%493114543.06%29663346.76%22.5014.0021.007.5016.008.0071.4%7.8%91.7%99.5DULL
19MeteorsButchers404000001.504.00-2.5000.0001.53.04.510411028.8423538033.013.37.0021.32.250.2511.11%3.501.0071.43%0453101444.67%493114543.06%29663346.76%20.2512.0024.258.0015.007.2529.4%5.2%87.9%93.1Unlucky
20MeteorsGrinders101000001.004.00-3.0000.0001.02.03.000010023.0698026.04.08.0032.02.000.000.00%4.000.00100.00%0453101444.67%493114543.06%29663346.76%22.0013.0020.008.0016.008.0020.0%4.3%84.6%89.0Unlucky
21MeteorsAverage Joes411001102.251.251.0050.6252.34.06.301323131.3393846531.515.85.0021.34.500.5011.11%2.500.2590.00%0453101444.67%493114543.06%29663346.76%22.0013.7523.758.5015.257.7563.6%7.2%96.0%103.2DULL
22MeteorsBlack Frost100010005.004.001.0021.0005.010.015.000103134.07620128.016.06.0026.05.001.0020.00%3.001.0066.67%0453101444.67%493114543.06%29663346.76%24.0015.0020.007.0016.008.0057.1%14.7%85.7%100.4FUN
23MeteorsHitmen404000002.504.25-1.7500.0002.54.57.000343028.0335128035.313.39.2521.81.500.2516.67%4.001.2568.75%0453101444.67%493114543.06%29663346.76%19.5011.5024.008.2516.007.7542.9%8.9%87.9%96.9Unlucky
24MeteorsRink Rats110000003.002.001.0021.0003.05.08.000201033.08178035.06.012.0025.04.002.0050.00%6.001.0083.33%0453101444.67%493114543.06%29663346.76%20.0011.0023.008.0016.007.0050.0%9.1%94.3%103.4LUCKY
25MeteorsTitans101000002.006.00-4.0000.0002.03.05.000110036.071613035.011.08.0013.02.000.000.00%4.001.0075.00%0453101444.67%493114543.06%29663346.76%20.0013.0023.008.0015.007.0028.6%5.6%82.9%88.4Unlucky
_Vs Division2179003112.332.71-0.38200.4762.34.26.621231114330.32142022141332.613.17.7621.32.900.3813.11%3.520.6781.08%3453101444.67%493114543.06%29663346.76%21.6713.4323.388.1915.577.7648.8%7.7%91.7%99.4DULL
_Vs Conference31719003112.483.35-0.87200.3232.54.57.031351922329.42903152991332.712.78.0621.82.550.3915.19%3.710.7480.00%5453101444.67%493114543.06%29663346.76%21.0612.8723.688.2615.687.7744.5%8.5%89.8%98.2Unlucky
_Since Last GM Reset521130045112.483.19-0.71380.3652.54.56.932454138729.94955474992032.712.18.7521.52.600.4617.78%3.940.8578.54%6453101444.67%493114543.06%29663346.76%21.1713.0423.678.2315.527.6246.3%8.3%90.2%98.5Unlucky
Total521130045112.483.19-0.71380.3652.54.56.932454138729.94955474992032.712.18.7521.52.600.4617.78%3.940.8578.54%6453101444.67%493114543.06%29663346.76%21.1713.0423.678.2315.527.6246.3%8.3%90.2%98.5Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 15
Defensive Zone 23
Puck Time
Offensive Zone Start 1014
Neutral Zone Start 633
Defensive Zone Start 1145
Puck Time
With Puck 28
Without Puck 31
Faceoffs
Faceoffs Won 1242
Faceoffs Lost 1550
Team Average Shots after League Average Shots after
1st Period 9.59.57
2nd Period 20.020.31
3rd Period 29.630.68
Overtime 30.031.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.71.65
3rd Period 2.42.67
Overtime 2.52.83
Even Strenght Goal 96
PP Goal 24
PK Goal 6
Empty Net Goal 3
Home Away
Win 106
Lost 1416
Overtime Lost 33
PP Attempt 135
PP Goal 24
PK Attempt 205
PK Goal Against 44
Home
Shots For 29.9
Shots Against 32.7
Goals For 2.5
Goals Against 3.2
Hits 21.5
Shots Blocked 12.1
Pim 8.8
Schedule
DateMatchup Result Detail
Tue, Jan 12MeteorsMET@MeteorsSTOMET3,STO4 (SO)RECAP
Wed, Jan 13MeteorsKNI@MeteorsMETKNI7,MET6RECAP
Fri, Jan 15MeteorsMET@MeteorsHITMET4,HIT7RECAP
Sun, Jan 17MeteorsMET@MeteorsTITMET2,TIT6RECAP
Tue, Jan 19MeteorsBUT@MeteorsMETBUT3,MET1RECAP
Thu, Jan 21MeteorsBUT@MeteorsMETBUT4,MET2RECAP
Sat, Jan 23MeteorsMET@MeteorsAVGMET1,AVG2RECAP
Tue, Jan 26MeteorsMAV@MeteorsMETMAV4,MET2RECAP
Thu, Jan 28MeteorsMET@MeteorsWOLMET1,WOL3RECAP
Sat, Jan 30MeteorsAVG@MeteorsMETAVG0,MET5RECAP
Wed, Feb 3MeteorsMET@MeteorsMAVMET3,MAV1RECAP
Fri, Feb 5MeteorsWOL@MeteorsMETWOL2,MET3RECAP
Mon, Feb 8MeteorsMET@MeteorsWOLMET2,WOL3 (OT)RECAP
Tue, Feb 9MeteorsMET@MeteorsBUTMET1,BUT6RECAP
Thu, Feb 11MeteorsMAV@MeteorsMETMAV3,MET2RECAP
Sat, Feb 13MeteorsTHU@MeteorsMETTHU6,MET4RECAP
Mon, Feb 15MeteorsBFT@MeteorsMETBFT4,MET5 (OT)RECAP
Wed, Feb 17MeteorsMET@MeteorsKNIMET1,KNI3RECAP
Fri, Feb 19MeteorsRIN@MeteorsMETRIN2,MET3RECAP
Sun, Feb 21MeteorsMET@MeteorsLYNMET3,LYN2RECAP
Tue, Feb 23MeteorsHIT@MeteorsMETHIT4,MET2RECAP
Fri, Feb 26MeteorsMET@MeteorsCRUMET2,CRU3RECAP
Sun, Feb 28MeteorsBIS@MeteorsMETBIS1,MET0RECAP
Wed, Mar 3MeteorsMET@MeteorsTRAMET3,TRA5RECAP
Sat, Mar 6MeteorsDRA@MeteorsMETDRA3,MET1RECAP
Mon, Mar 8MeteorsMET@MeteorsWOLMET3,WOL1RECAP
Wed, Mar 10MeteorsMOU@MeteorsMETMOU2,MET3 (OT)RECAP
Fri, Mar 12MeteorsMET@MeteorsMOUMET2,MOU3RECAP
Sun, Mar 14MeteorsWOL@MeteorsMETWOL2,MET4RECAP
Thu, Mar 18MeteorsMET@MeteorsMAVMET3,MAV1RECAP
Sat, Mar 20MeteorsSLA@MeteorsMETSLA5,MET0RECAP
Mon, Mar 22MeteorsMET@MeteorsGWSMET1,GWS2 (OT)RECAP
Tue, Mar 23MeteorsCRU@MeteorsMETCRU2,MET3 (OT)RECAP
Thu, Mar 25MeteorsSTO@MeteorsMETSTO4,MET3 (OT)RECAP
Sat, Mar 27MeteorsMET@MeteorsBISMET6,BIS5 (OT)RECAP
Mon, Mar 29MeteorsMET@MeteorsREVMET1,REV4RECAP
Wed, Mar 31MeteorsAVG@MeteorsMETAVG1,MET2 (SO)RECAP
Sat, Apr 3MeteorsMET@MeteorsSLAMET3,SLA4RECAP
Sun, Apr 4MeteorsTHU@MeteorsMETTHU5,MET3RECAP
Wed, Apr 7MeteorsTRA@MeteorsMETTRA3,MET2RECAP
Thu, Apr 8MeteorsMET@MeteorsGRIMET1,GRI4RECAP
Sun, Apr 11MeteorsMET@MeteorsHITMET2,HIT3RECAP
Tue, Apr 13MeteorsLYN@MeteorsMETLYN0,MET4RECAP
Thu, Apr 15MeteorsMET@MeteorsJAGMET4,JAG1RECAP
Sat, Apr 17MeteorsMUS@MeteorsMETMUS3,MET2 (OT)RECAP
Thu, Apr 22MeteorsAVG@MeteorsMETAVG2,MET1 (OT)RECAP
Mon, Apr 26MeteorsMET@MeteorsMUSMET3,MUS4RECAP
Wed, Apr 28MeteorsMAV@MeteorsMETMAV2,MET3RECAP
Sat, May 1MeteorsBUT@MeteorsMETBUT3,MET2RECAP
Mon, May 3MeteorsMET@MeteorsHITMET2,HIT3RECAP
Wed, May 5MeteorsHEL@MeteorsMETHEL4,MET1RECAP
Thu, May 6MeteorsMET@MeteorsBRAMET3,BRA5RECAP
Sun, May 9MeteorsGRI@MeteorsMET
Tue, May 11MeteorsMET@MeteorsRIN
Thu, May 13MeteorsMET@MeteorsTHU
Sat, May 15MeteorsBRA@MeteorsMET
Tue, May 18MeteorsSTO@MeteorsMET
Thu, May 20MeteorsMET@MeteorsAVG
Sat, May 22MeteorsMET@MeteorsBFT
Sun, May 23MeteorsROC@MeteorsMET
Tue, May 25MeteorsMET@MeteorsFRE
Fri, May 28MeteorsREV@MeteorsMET
Mon, May 31MeteorsMET@MeteorsHEL
Wed, Jun 2MeteorsMET@MeteorsTIT
Fri, Jun 4MeteorsGWS@MeteorsMET
Sat, Jun 5MeteorsMET@MeteorsDRA
Tue, Jun 8MeteorsFRE@MeteorsMET
Fri, Jun 11MeteorsFRE@MeteorsMET
Mon, Jun 14MeteorsMET@MeteorsBUT
Wed, Jun 16MeteorsKNI@MeteorsMET
Thu, Jun 17MeteorsMET@MeteorsSTO
Trade Deadline --- Trades can�t be done after this day is simulated!
Sun, Jun 20MeteorsKNI@MeteorsMET
Tue, Jun 22MeteorsMET@MeteorsROC
Thu, Jun 24MeteorsMET@MeteorsTIT
Fri, Jun 25MeteorsJAG@MeteorsMET
Sun, Jun 27MeteorsMET@MeteorsROC
Tue, Jun 29MeteorsMET@MeteorsSTO
Thu, Jul 1MeteorsMET@MeteorsGRI
Sat, Jul 3MeteorsBRA@MeteorsMET
Wed, Jul 7MeteorsTIT@MeteorsMET
Sat, Jul 10MeteorsTIT@MeteorsMET
Tue, Jul 13MeteorsMET@MeteorsBUT

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
39,479,166$ 0$ 49,697,377$ 29,302,623$

ArenaGoal HornAbout us
Name
CityCalgary
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$20$200$
Attendance126106105047429898331520680
Attendance PCT77.84%77.81%79.61%77.14%76.59%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
14 14005 - 77.81% 971,124$26,220,335$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
39,479,166$ 39,479,166$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
33,384,578$ 212,254$ 32,761,171$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
13,595,729$ 71 212,254$ 15,070,034$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
15,899,874$ 49,697,377$ 114,168,713$ 112,959,410$
Depth Chart Star Superstar Rookie Injured Cold Streak Hot Streak
Left WingCenterRight Wing
Ryan Nugent-HopkinsOV: 7827 yrsMeteorsCAN
Denis GuryanovOV: 7523 yrsMeteorsRUS
Chandler StephensonOV: 7426 yrsMeteorsCAN
Marcus JohanssonOV: 7229 yrsMeteorsSWE
Chris WagnerOV: 7029 yrsMeteorsUSA
Tim SchallerOV: 7029 yrsMeteorsUSA
Tyler MotteOV: 7025 yrsMeteorsUSA
Micheal FerlandOV: 6428 yrsMeteorsCAN
Paul CareyOV: 6131 yrsMeteorsUSA
Brandon DuhaimeOV: 5023 yrsMeteorsUSA
Karch BachmanOV: 4723 yrsMeteorsUSA
Aarne TalvitieOV: 4621 yrsMeteorsFIN
Ryan Nugent-HopkinsOV: 7827 yrsMeteorsCAN
Oskar SundqvistOV: 7426 yrsMeteorsSWE
Chandler StephensonOV: 7426 yrsMeteorsCAN
Marcus JohanssonOV: 7229 yrsMeteorsSWE
Chris WagnerOV: 7029 yrsMeteorsUSA
Tim SchallerOV: 7029 yrsMeteorsUSA
Tyler MotteOV: 7025 yrsMeteorsUSA
Steven FogartyOV: 6227 yrsMeteorsUSA
Paul CareyOV: 6131 yrsMeteorsUSA
Aapeli RasanenOV: 4722 yrsMeteorsFIN
Oskar BackOV: 4720 yrsMeteorsSWE
Jack McBainOV: 4620 yrsMeteorsCAN
Aarne TalvitieOV: 4621 yrsMeteorsFIN
Jay O'BrienOV: 3020 yrsMeteorsUSA
Denis GuryanovOV: 7523 yrsMeteorsRUS
Mark PysykOV: 7428 yrsMeteorsCAN
Zack KassianOV: 7329 yrsMeteorsCAN
Chris WagnerOV: 7029 yrsMeteorsUSA
Tim SchallerOV: 7029 yrsMeteorsUSA
Tyler MotteOV: 7025 yrsMeteorsUSA
Zack MacEwenOV: 6823 yrsMeteorsCAN
Micheal FerlandOV: 6428 yrsMeteorsCAN
Julien GauthierOV: 6322 yrsMeteorsCAN
Austin PoganskiOV: 6224 yrsMeteorsUSA
Steven FogartyOV: 6227 yrsMeteorsUSA
Milan GulasOV: 5834 yrsMeteorsCZE
Brandon DuhaimeOV: 5023 yrsMeteorsUSA
Kody ClarkOV: 4920 yrsMeteorsCAN
Serron NoelOV: 4719 yrsMeteorsCAN
Aaro VidgrenOV: 4623 yrsMeteorsFIN
Ryan O'Reilly2OV: 3020 yrsMeteorsUSA

Defense #1Defense #2Goalie
Victor HedmanOV: 8629 yrsMeteorsSWE
Brenden DillonOV: 7729 yrsMeteorsCAN
Josh MansonOV: 7628 yrsMeteorsCAN
Mark PysykOV: 7428 yrsMeteorsCAN
Nathan BeaulieuOV: 7427 yrsMeteorsCAN
Michal KempnyOV: 7029 yrsMeteorsCZE
Brian LashoffOV: 6829 yrsMeteorsUSA
Dennis CholowskiOV: 6422 yrsMeteorsCAN
Alexander YelesinOV: 6324 yrsMeteorsRUS
Colton WhiteOV: 6223 yrsMeteorsCAN
Christian WolaninOV: 6025 yrsMeteorsUSA
Jarkko ParikkaOV: 5022 yrsMeteorsFIN
Hunter DrewOV: 5021 yrsMeteorsCAN
Sean DurziOV: 5021 yrsMeteorsCAN
Filip KralOV: 4920 yrsMeteorsCZE
Roope LaavainenOV: 4421 yrsMeteorsFIN
Stanislav DeminOV: 4120 yrsMeteorsUSA
Calle SjalinOV: 4020 yrsMeteorsSWE
Antti RaantaOV: 8030 yrsMeteorsFIN
Linus UllmarkOV: 7826 yrsMeteorsSWE
Brian ElliottOV: 7134 yrsMeteorsCAN
Carter HuttonOV: 7034 yrsMeteorsCAN
Jake OettingerOV: 6821 yrsMeteorsUSA
Adam WernerOV: 6523 yrsMeteorsSWE
Stuart SkinnerOV: 5621 yrsMeteorsCAN
Eetu MakiniemiOV: 4621 yrsMeteorsFIN
Jack LaFontaineOV: 4422 yrsMeteorsCAN

Draft Picks
Year Round 1Round 2Round 3Round 4Round 5Round 6Round 7
2021
2022
2023
2024
2025

** Conditional draft pick that has been traded
Prospects
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
Prospect Team NameDraft Year Overall Pick Information Lien
Benjamin BaumgartnerMeteorsMeteors2020171
Calle ClangMeteorsMeteors202087
Case McCarthyMeteorsMeteors2019121
Drew HellesonMeteorsMeteors201948
Gustav BerglundMeteorsMeteors2019188
Jack SmithMeteorsMeteors2020112
Jake SandersonMeteorsMeteors20205
Lukas SvejkovskyMeteorsMeteors2020117
Mattias NorlinderMeteorsMeteors201965
Mike KosterMeteorsMeteors2019150
Nick CaponeMeteorsMeteors2020168
Nolan FooteMeteorsMeteors201927
Roddy RossMeteorsMeteors2019177
Sam StangeMeteorsMeteors2020109
Thimo NicklMeteorsMeteors2020113
Draft Picks
Year Round 1Round 2Round 3Round 4Round 5Round 6Round 7
2021
2022
2023
2024
2025

** Conditional Draft Pick That Have Been Traded
Prospects
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
Prospect Team NameDraft Year Overall Pick Information Lien
Benjamin BaumgartnerMeteorsMeteors2020171
Calle ClangMeteorsMeteors202087
Case McCarthyMeteorsMeteors2019121
Drew HellesonMeteorsMeteors201948
Gustav BerglundMeteorsMeteors2019188
Jack SmithMeteorsMeteors2020112
Jake SandersonMeteorsMeteors20205
Lukas SvejkovskyMeteorsMeteors2020117
Mattias NorlinderMeteorsMeteors201965
Mike KosterMeteorsMeteors2019150
Nick CaponeMeteorsMeteors2020168
Nolan FooteMeteorsMeteors201927
Roddy RossMeteorsMeteors2019177
Sam StangeMeteorsMeteors2020109
Thimo NicklMeteorsMeteors2020113
News



























Injuries
No Injury or Suspension.

Game Center

Hellcats31-15-7, 69pts41Final
Meteors16-30-6, 38pts

Meteors16-30-6, 38pts35Final
Braves17-31-4, 38pts

Grinders22-26-5, 49ptsSun, May 09
Meteors16-30-6, 38pts

Meteors16-30-6, 38ptsTue, May 11
Rink Rats17-32-2, 36pts

Meteors16-30-6, 38ptsThu, May 13
Thunder38-12-4, 80pts

Team Leaders

GOALS
Zack Kassian
15
ASSISTS
Ryan Nugent-Hopkins
22
POINTS
Ryan Nugent-Hopkins
34
PLUS/MINUS
Nathan Beaulieu
5
WINS
Linus Ullmark
9
SV%
Jake Oettinger
0.975

Team Stats


Goals For
129
2.48 GFG
Shots For
1554
29.88 Avg
Power Play Percentage
17.8%
24 GF
Offensive Zone Start
47.0%
Goals Against
166
3.19 GAA
Shots Against
1702
32.73 Avg
Penalty Kill Percentage
78.5%
44 GA
Defensive Zone Start
53.0%
 

Team Info

Meteors
General ManagerMark Pagica
Head CoachJoel Quenneville
ConferenceCanadian Conference
DivisionCanadian

Meteors Affiliation

Meteors
Team NameBarking Spiders
CityDracut
Head CoachBob Boughner
DivisionHowe

Arena Info

Stadium
Capacity18,000
Attendance14,005
Season Tickets7,200

Salary Cap

Total Cap Hit49,697,377$
Cap Hit Percentage62.91%
Projected Cap Space29,302,623$
Retains & Buyout0$

Team History

202016-30-6 (38PTS)
Record (W-L-OTL)572-577-127 (1271PTS)
Playoff Appearances5
Playoff Record (W-L)49-60
Stanley Cup0

Entry Draft