Blazers

GP: 58 | W: 35 | L: 15 | OTL: 8 | P: 78
GF: 157 | GA: 128 | PP%: 13.40% | PK%: 85.47%
GM : Martin Lesage | Morale : 92 | Team Overall : 61
Next Games #694 vs Redhawks
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Dominik SimonXX99.00784491776965807035736055255960091640
2Jacob de La RoseXX99.00774491777959805865605778256162088640
3Tanner KeroX100.00736885746870716680626566625151086640
4Austin CzarnikXXX100.00594094805859816844676062256262090630
5Lukas SedlakXX99.00804492767454676351545975255757090630
6Michael McLeod (R)X100.00857682797263766078625562254545090620
7Alex BroadhurstX100.00726392606372756278625665535555090610
8Gemel SmithXXX100.00714299726852715444566272255555090610
9Lukas Radil (R)XX100.00714394647757686056607157254747074600
10Michael CarconeX100.00676279636277816350606260594444052600
11Zack MitchellXX100.00757283707274795873535863554545072600
12Jonny BrodzinskiX100.00834594737856605944586858254848050600
13Matt BenningX100.00815586827466896525534971255959091680
14Jaycob MegnaX100.00764587758665805625504877255252090660
15Trevor van RiemsdykX100.00654295807067965825524870256465090660
16Chris WidemanX100.00794379796561537725554963256464080640
17Jalen ChatfieldX100.00746986656960644725383961374848054560
18Blake SiebenalerX100.00797589667546474525324165395555049560
Scratches
1Cole SchneiderXX100.00777483717480846550606568625454082650
2Anton BlidhXX100.00717365697382905350475163485656022590
3Brandon GignacXX100.00706387666361626176595764545555045590
4Max Veronneau (R)X100.00554099646763496325637056254545024580
5Andrew O'BrienX100.00677841627847484425284358415555027530
TEAM AVERAGE99.8773578671716372604755566536545407061
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jonathan Bernier100.0064666667646455647365666667086640
2Alex Stalock100.0063545472705559646462805758090620
Scratches
1Antoine Bibeau100.0055688582535850595352304444036580
2Hunter Miska100.0051617663485150564949304444022520
TEAM AVERAGE100.005862707159575461605752535305959
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Yeo87916690635976CAN414300,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Tanner KeroBlazers (ALA)C562020401028080127110277418.18%7109519.5759142519900021472163.06%92300000.7305000453
2Austin CzarnikBlazers (ALA)C/LW/RW58928371340106988268410.23%399417.1511011262390000173045.76%5900000.7402000322
3Cole SchneiderBlazers (ALA)LW/RW542512371242075791512910416.56%9122922.7766123625210182284156.60%23500100.60210000532
4Matt BenningBlazers (ALA)D5842832274091456214496.45%43129522.34381144251011119902100.00%100000.4900000022
5Lukas SedlakBlazers (ALA)C/LW58191332-13604995107207717.76%988415.2512310590000433153.59%47400000.7200000622
6Gemel SmithBlazers (ALA)C/LW/RW5516143011240365978256620.51%889416.27123101520111355153.85%6500000.6700000421
7Michael McLeodBlazers (ALA)C582262826720103522413218.33%2288015.180001200001122064.57%22300000.6400000014
8Jacob de La RoseBlazers (ALA)C/LW5812162861807010095266612.63%10108518.714592623500051466164.58%67200000.5225000244
9Dominik SimonBlazers (ALA)LW/RW5881826722051848416629.52%4112019.323582126101151791251.80%22200000.4617000213
10Trevor van RiemsdykBlazers (ALA)D5851924-5240274249124210.20%46128122.094812342470000225000.00%000000.3700000100
11Jaycob MegnaBlazers (ALA)D587152213300684965124410.77%45125521.656511482380111219110.00%000000.3500000114
12Chris MuellerMavericksC/RW31714211016046807429489.46%772423.374592514010121290064.93%73000000.5815000134
13Chris WidemanBlazers (ALA)D5021719554077354416274.55%23102620.54156311761012177110.00%000000.3700000122
14Alex BroadhurstBlazers (ALA)C58111121316031322510184.00%1558310.060222510001560163.98%21100000.4100000010
15Zack MitchellBlazers (ALA)C/RW405611-5220352642102411.90%644511.15101214000040066.67%2700000.4901000101
16Lukas RadilBlazers (ALA)LW/RW33448101407214214289.52%236711.1300035000021169.57%2300000.4400000002
17Michael CarconeBlazers (ALA)LW15235260792071110.00%01389.2200000000002075.00%800000.7200000010
18Jonny BrodzinskiBlazers (ALA)RW172352601518255178.00%120912.32000010000100043.48%2300000.4800000000
19Brandon GignacBlazers (ALA)C/LW29314040720265911.54%12779.58000170000230151.61%3100000.2901000020
20Alexander PetrovicMavericksD912312802441041210.00%619822.071231042000028100.00%000000.3000000010
21Jalen ChatfieldBlazers (ALA)D290331716025119220.00%1748116.61000326000037000.00%000000.1200000000
22Blake SiebenalerBlazers (ALA)D20022812019102140.00%1228914.49000012000029000.00%000000.1400000000
23Andrew O'BrienBlazers (ALA)D2000000000000.00%152.520000000004000.00%000000.0000000000
24Max VeronneauBlazers (ALA)RW4000000001120.00%0174.350000000000000.00%100000.0000000000
Team Total or Average96615427542915756809531067123332489112.49%2971678417.3841741153582639347291959321461.10%392800100.51636000313336
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 BernierBlazers (ALA)45291150.8842.00273545917850100.76221450210
2Alex StalockBlazers (ALA)116230.8931.8667702211970000.714141145110
Team Total or Average56351380.8861.973412471129820100.743355645320


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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 10Link
Alex BroadhurstBlazers (ALA)C261993-03-06No178 Lbs5 ft10NoNoNo2Farm Only800,000$222,222$800,000$222,222$0$0$No800,000$Link
Alex Stalock (1 Way Contract)Blazers (ALA)G311987-07-28No198 Lbs6 ft0NoNoNo4Pro & Farm700,000$194,444$808,750$224,653$0$0$No700,000$750,000$1,085,000$Link
Andrew O'BrienBlazers (ALA)D261992-11-21No208 Lbs6 ft4NoNoNo2Farm Only700,000$194,444$700,000$194,444$0$0$No700,000$Link
Antoine BibeauBlazers (ALA)G251994-05-01No207 Lbs6 ft3NoNoNo1Farm Only700,000$194,444$700,000$194,444$0$0$NoLink
Anton BlidhBlazers (ALA)LW/RW241995-03-14No201 Lbs6 ft0NoNoNo2Pro & Farm800,000$222,222$800,000$222,222$0$0$No800,000$Link
Austin CzarnikBlazers (ALA)C/LW/RW261992-12-12No160 Lbs5 ft9NoNoNo1Pro & Farm925,000$256,944$925,000$256,944$0$0$NoLink
Blake SiebenalerBlazers (ALA)D231996-02-26No208 Lbs6 ft1NoNoNo1Farm Only700,000$194,444$700,000$194,444$0$0$NoLink
Brandon GignacBlazers (ALA)C/LW211997-11-07No173 Lbs5 ft11NoNoNo2Pro & Farm742,500$206,250$742,500$206,250$0$0$No742,500$Link
Chris Wideman (1 Way Contract)Blazers (ALA)D291990-01-07No183 Lbs5 ft10NoNoNo2Pro & Farm1,000,000$277,778$1,000,000$277,778$0$0$No1,000,000$Link / NHL Link
Cole SchneiderBlazers (ALA)LW/RW281990-08-26No200 Lbs6 ft1NoNoNo1Farm Only700,000$194,444$700,000$194,444$0$0$NoLink
Dominik Simon (1 Way Contract)Blazers (ALA)LW/RW241994-08-08No190 Lbs5 ft11NoNoNo3Pro & Farm750,000$208,333$750,000$208,333$0$0$No750,000$750,000$Link / NHL Link
Gemel SmithBlazers (ALA)C/LW/RW251994-04-16No190 Lbs5 ft10NoNoNo1Pro & Farm700,000$194,444$700,000$194,444$0$0$NoLink
Hunter MiskaBlazers (ALA)G231995-07-06No170 Lbs6 ft1NoNoNo2Pro & Farm740,000$205,556$740,000$205,556$0$0$No740,000$Link
Jacob de La Rose (1 Way Contract)Blazers (ALA)C/LW241995-05-19No210 Lbs6 ft3NoNoNo3Pro & Farm900,000$250,000$900,000$250,000$0$0$No900,000$900,000$Link / NHL Link
Jalen ChatfieldBlazers (ALA)D231996-05-16No188 Lbs6 ft1NoNoNo3Farm Only765,000$212,500$871,000$241,944$0$0$No765,000$1,189,000$Link
Jaycob MegnaBlazers (ALA)D261992-12-10No225 Lbs6 ft6NoNoNo1Pro & Farm700,000$194,444$700,000$194,444$0$0$NoLink
Jonathan Bernier (1 Way Contract)Blazers (ALA)G301988-08-07No184 Lbs6 ft0NoNoNo3Pro & Farm2,400,000$666,667$2,400,000$666,667$400,000$111,111$No2,400,000$2,400,000$Link / NHL Link
Jonny BrodzinskiBlazers (ALA)RW261993-06-19No218 Lbs6 ft1NoNoNo1Pro & Farm700,000$194,444$700,000$194,444$0$0$NoLink
Lukas Radil (1 Way Contract)Blazers (ALA)LW/RW281990-08-04Yes201 Lbs6 ft4NoNoNo1Pro & Farm3,500,000$972,222$3,500,000$972,222$1,500,000$416,667$NoLink
Lukas SedlakBlazers (ALA)C/LW261993-02-24No205 Lbs6 ft0NoNoNo1Pro & Farm825,000$229,167$825,000$229,167$0$0$NoLink
Matt BenningBlazers (ALA)D251994-05-25No204 Lbs6 ft1NoNoNo1Pro & Farm925,000$256,944$925,000$256,944$0$0$NoLink
Max VeronneauBlazers (ALA)RW231995-12-11Yes181 Lbs6 ft0NoNoNo3Pro & Farm925,000$256,944$925,000$256,944$0$0$No925,000$925,000$Link
Michael CarconeBlazers (ALA)LW231996-05-18No170 Lbs5 ft10NoNoNo1Farm Only700,000$194,444$700,000$194,444$0$0$NoLink
Michael McLeodBlazers (ALA)C211998-02-03Yes187 Lbs6 ft2NoNoNo3Pro & Farm925,000$256,944$925,000$256,944$0$0$No925,000$925,000$Link
Tanner KeroBlazers (ALA)C261992-07-24No185 Lbs6 ft0NoNoNo1Farm Only737,500$204,861$737,500$204,861$0$0$NoLink
Trevor van Riemsdyk (1 Way Contract)Blazers (ALA)D271991-07-24No188 Lbs6 ft2NoNoNo2Pro & Farm2,300,000$638,889$2,300,000$638,889$300,000$83,333$No2,300,000$Link / NHL Link
Zack MitchellBlazers (ALA)C/RW261993-01-06No196 Lbs6 ft1NoNoNo2Farm Only700,000$194,444$700,000$194,444$0$0$No700,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.37193 Lbs6 ft11.85998,519$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dominik SimonJacob de La RoseAustin Czarnik30122
2Lukas SedlakTanner KeroGemel Smith30122
3Lukas RadilMichael McLeodZack Mitchell25122
4Michael CarconeAlex BroadhurstJonny Brodzinski15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningTrevor van Riemsdyk30122
2Jaycob MegnaChris Wideman30122
3Jalen ChatfieldBlake Siebenaler25122
4Matt BenningTrevor van Riemsdyk15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dominik SimonJacob de La RoseAustin Czarnik55122
2Lukas SedlakTanner KeroGemel Smith45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningTrevor van Riemsdyk55122
2Jaycob MegnaChris Wideman45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dominik SimonJacob de La Rose55122
2Tanner KeroLukas Sedlak45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningTrevor van Riemsdyk55122
2Jaycob MegnaChris Wideman45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dominik Simon55122Matt BenningTrevor van Riemsdyk55122
2Jacob de La Rose45122Jaycob MegnaChris Wideman45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dominik SimonJacob de La Rose55122
2Tanner KeroLukas Sedlak45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningTrevor van Riemsdyk55122
2Jaycob MegnaChris Wideman45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dominik SimonJacob de La RoseAustin CzarnikMatt BenningTrevor van Riemsdyk
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dominik SimonJacob de La RoseAustin CzarnikMatt BenningTrevor van Riemsdyk
Extra Forwards
Normal PowerPlayPenalty Kill
Michael McLeod, Alex Broadhurst, Zack MitchellMichael McLeod, Alex BroadhurstZack Mitchell
Extra Defensemen
Normal PowerPlayPenalty Kill
Jalen Chatfield, Blake Siebenaler, Jaycob MegnaJalen ChatfieldBlake Siebenaler, Jaycob Megna
Penalty Shots
Dominik Simon, Jacob de La Rose, Tanner Kero, Lukas Sedlak, Austin Czarnik
Goalie
#1 : Jonathan Bernier, #2 : Alex Stalock


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
1Aces32100000954110000004042110000055040.6679172601554551970420398405485514286313215.38%14192.86%01049166163.15%838142458.85%52183562.40%156011101259416717371
2Aeros321000001073211000007521100000032140.6671019290055455195642039840548485345018316.67%17476.47%01049166163.15%838142458.85%52183562.40%156011101259416717371
3Bengals11000000523000000000001100000052321.0005101500554551935420398405481826296116.67%3166.67%01049166163.15%838142458.85%52183562.40%156011101259416717371
4Boys30200010810-2100000103212020000058-320.333811190055455195642039840548741536521119.09%180100.00%01049166163.15%838142458.85%52183562.40%156011101259416717371
5Broncos421000011275211000004312100000184450.62512223402554551973420398405489924547020525.00%27485.19%01049166163.15%838142458.85%52183562.40%156011101259416717371
6Citadels330000001156110000003122200000084461.00011203100554551971420398405485820325921314.29%160100.00%01049166163.15%838142458.85%52183562.40%156011101259416717371
7Cobras31200000611-51010000024-22110000047-320.3336111700554551955420398405485315344120420.00%17570.59%01049166163.15%838142458.85%52183562.40%156011101259416717371
8Devil Dogs411010101192210010006422010001055060.75011172800554551984420398405484715205924312.50%10460.00%01049166163.15%838142458.85%52183562.40%156011101259416717371
9Gamblers21001000642210010006420000000000041.0006101600554551933420398405482412162915320.00%8275.00%01049166163.15%838142458.85%52183562.40%156011101259416717371
10Gators2010010015-41010000003-31000010012-110.2501230055455194542039840548321122221300.00%11281.82%01049166163.15%838142458.85%52183562.40%156011101259416717371
11Indians3100000267-12000000246-21100000021140.6676121800554551963420398405485914323320315.00%16381.25%01049166163.15%838142458.85%52183562.40%156011101259416717371
12Jets2110000056-1110000003211010000024-220.50051015005545519374203984054832141833500.00%9188.89%01049166163.15%838142458.85%52183562.40%156011101259416717371
13Liberty330000001349110000004222200000092761.00013213401554551998420398405485814185610220.00%90100.00%11049166163.15%838142458.85%52183562.40%156011101259416717371
14Mystery11000000202000000000001100000020221.0002460155455191942039840548581423900.00%70100.00%01049166163.15%838142458.85%52183562.40%156011101259416717371
15Oil Kings33000000853110000002112200000064261.000816240055455194142039840548501120391200.00%10190.00%01049166163.15%838142458.85%52183562.40%156011101259416717371
16Olympic320010001477210010009631100000051461.0001425390055455191124203984054836532468112.50%16381.25%11049166163.15%838142458.85%52183562.40%156011101259416717371
17Pitbulls2020000047-31010000034-11010000013-200.00047110055455193842039840548501134437114.29%17476.47%11049166163.15%838142458.85%52183562.40%156011101259416717371
18Redhawks21100000330000000000002110000033020.50034701554551927420398405483323203314214.29%10280.00%01049166163.15%838142458.85%52183562.40%156011101259416717371
19Rhinos3000001267-11000000123-12000001144040.667681400554551972420398405485312264624416.67%13192.31%01049166163.15%838142458.85%52183562.40%156011101259416717371
20Rivercats3110000178-1210000015411010000024-230.500713200055455197942039840548632118521815.56%9277.78%01049166163.15%838142458.85%52183562.40%156011101259416717371
21Surfers22000000312220000003120000000000041.00034701554551926420398405482682433500.00%120100.00%01049166163.15%838142458.85%52183562.40%156011101259416717371
Total582915032361571282928146030147560153015900222826814780.67215727543207554551912354203984054810222985789573064113.40%2894285.47%31049166163.15%838142458.85%52183562.40%156011101259416717371
23Winterhawks3110010078-1211000005501000010023-130.5007121900554551945420398405484924404613215.38%20290.00%01049166163.15%838142458.85%52183562.40%156011101259416717371
_Since Last GM Reset582915032361571282928146030147560153015900222826814780.67215727543207554551912354203984054810222985789573064113.40%2894285.47%31049166163.15%838142458.85%52183562.40%156011101259416717371
_Vs Conference582915032361571282928146030147560153015900222826814780.67215727543207554551912354203984054810222985789573064113.40%2894285.47%31049166163.15%838142458.85%52183562.40%156011101259416717371
_Vs Division138202001422319631020001913675100001231013210.80842751170455455192994203984054821574142230721216.67%711283.10%11049166163.15%838142458.85%52183562.40%156011101259416717371

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5878W11572754321235102229857895707
All Games
GPWLOTWOTL SOWSOLGFGA
5829153236157128
Home Games
GPWLOTWOTL SOWSOLGFGA
2814630147560
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3015902228268
Last 10 Games
WLOTWOTL SOWSOL
720001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3064113.40%2894285.47%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
420398405485545519
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1049166163.15%838142458.85%52183562.40%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
156011101259416717371


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
1 - 2019-10-075Winterhawks1Blazers2WBoxScore
4 - 2019-10-1025Blazers3Boys4LBoxScore
6 - 2019-10-1235Gamblers2Blazers3WBoxScore
7 - 2019-10-1344Blazers5Broncos0WBoxScore
9 - 2019-10-1556Blazers2Citadels1WBoxScore
11 - 2019-10-1770Rivercats3Blazers2LXXBoxScore
13 - 2019-10-1979Indians2Blazers1LXXBoxScore
15 - 2019-10-2196Blazers2Redhawks3LBoxScore
16 - 2019-10-22106Broncos0Blazers4WBoxScore
18 - 2019-10-24119Blazers2Aces4LBoxScore
20 - 2019-10-26129Blazers1Cobras6LBoxScore
22 - 2019-10-28139Devil Dogs2Blazers3WBoxScore
24 - 2019-10-30151Blazers2Devil Dogs3LBoxScore
26 - 2019-11-01165Citadels1Blazers3WBoxScore
28 - 2019-11-03180Indians4Blazers3LXXBoxScore
30 - 2019-11-05192Blazers3Broncos4LXXBoxScore
32 - 2019-11-07203Blazers2Rivercats4LBoxScore
34 - 2019-11-09211Cobras4Blazers2LBoxScore
36 - 2019-11-11224Boys2Blazers3WXXBoxScore
38 - 2019-11-13236Blazers3Cobras1WBoxScore
41 - 2019-11-16250Blazers3Rhinos2WXXBoxScore
43 - 2019-11-18263Rhinos3Blazers2LXXBoxScore
44 - 2019-11-19273Devil Dogs2Blazers3WXBoxScore
47 - 2019-11-22289Blazers2Winterhawks3LXBoxScore
49 - 2019-11-24300Pitbulls4Blazers3LBoxScore
50 - 2019-11-25310Blazers6Citadels3WBoxScore
52 - 2019-11-27321Blazers1Gators2LXBoxScore
54 - 2019-11-29331Blazers2Boys4LBoxScore
55 - 2019-11-30336Aeros3Blazers2LBoxScore
57 - 2019-12-02354Rivercats1Blazers3WBoxScore
59 - 2019-12-04368Blazers2Jets4LBoxScore
60 - 2019-12-05376Oil Kings1Blazers2WBoxScore
62 - 2019-12-07391Broncos3Blazers0LBoxScore
65 - 2019-12-10402Blazers3Devil Dogs2WXXBoxScore
66 - 2019-12-11414Blazers2Indians1WBoxScore
68 - 2019-12-13426Surfers0Blazers1WBoxScore
70 - 2019-12-15437Blazers3Aces1WBoxScore
71 - 2019-12-16449Aces0Blazers4WBoxScore
73 - 2019-12-18464Jets2Blazers3WBoxScore
74 - 2019-12-19473Blazers1Redhawks0WBoxScore
77 - 2019-12-22490Gamblers2Blazers3WXBoxScore
78 - 2019-12-23502Blazers1Pitbulls3LBoxScore
80 - 2019-12-25513Blazers3Liberty0WBoxScore
82 - 2019-12-27524Olympic2Blazers4WBoxScore
84 - 2019-12-29535Blazers6Liberty2WBoxScore
85 - 2019-12-30546Olympic4Blazers5WXBoxScore
87 - 2020-01-01558Blazers3Oil Kings2WBoxScore
88 - 2020-01-02569Aeros2Blazers5WBoxScore
90 - 2020-01-04583Winterhawks4Blazers3LBoxScore
92 - 2020-01-06591Blazers3Oil Kings2WBoxScore
94 - 2020-01-08608Blazers1Rhinos2LXXBoxScore
96 - 2020-01-10617Blazers2Mystery0WBoxScore
97 - 2020-01-11624Surfers1Blazers2WBoxScore
98 - 2020-01-12639Blazers5Olympic1WBoxScore
100 - 2020-01-14650Liberty2Blazers4WBoxScore
101 - 2020-01-15663Blazers3Aeros2WBoxScore
102 - 2020-01-16671Gators3Blazers0LBoxScore
104 - 2020-01-18686Blazers5Bengals2WBoxScore
106 - 2020-01-20694Redhawks-Blazers-
108 - 2020-01-22709Bengals-Blazers-
110 - 2020-01-24725Blazers-Surfers-
112 - 2020-01-26735Winterhawks-Blazers-
113 - 2020-01-27746Blazers-Olympic-
115 - 2020-01-29755Blazers-Mystery-
Trade Deadline --- Trades can’t be done after this day is simulated!
116 - 2020-01-30765Redhawks-Blazers-
119 - 2020-02-02783Sun Devils-Blazers-
121 - 2020-02-04794Blazers-Sun Devils-
122 - 2020-02-05801Blazers-Gamblers-
123 - 2020-02-06814Mystery-Blazers-
125 - 2020-02-08830Jets-Blazers-
126 - 2020-02-09836Blazers-Bengals-
128 - 2020-02-11843Blazers-Sun Devils-
130 - 2020-02-13858Blazers-Gamblers-
131 - 2020-02-14863Bengals-Blazers-
134 - 2020-02-17884Mystery-Blazers-
138 - 2020-02-21904Sun Devils-Blazers-
142 - 2020-02-25923Gators-Blazers-
143 - 2020-02-26936Blazers-Pitbulls-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price7020
Attendance28,00014,462
Attendance PCT50.00%51.65%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
11 1517 - 50.55% 80,330$2,249,240$300090

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,105,036$ 1,232,800$ 1,241,280$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,620$ 894,535$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
883,630$ 40 10,644$ 425,760$




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
20195829150323615712829281460301475601530159002228268147815727543207554551912354203984054810222985789573064113.40%2894285.47%31049166163.15%838142458.85%52183562.40%156011101259416717371
Total Regular Season5829150323615712829281460301475601530159002228268147815727543207554551912354203984054810222985789573064113.40%2894285.47%31049166163.15%838142458.85%52183562.40%156011101259416717371