Vikings

GP: 53 | W: 27 | L: 26 | OTL: 0 | P: 54
GF: 285 | GA: 293 | PP%: 52.69% | PK%: 51.67%
GM : Sébastien Filion | Morale : 55 | Team Overall : 68
Next Games #592 vs Wildcats
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 SPAgeContractSalary
1Christian Fischer (R)X100.009370948287776468506471745371720547002311,137,500$
2Loui ErikssonXX100.005562948480785771506972805489840727003531,250,009$
3Tobias RiederX98.007162979379776368506768795176760707002812,225,000$
4Casey Mittelstadt (R)X100.006756988779783671636973716469730586902211,491,667$
5Phil VaroneX100.00706296817965356763666768506866073650301900,000$
Scratches
1Jansen Harkins (R)X100.00615396837576356950706873516663040650231925,000$
TEAM AVERAGE99.6770619685807548695468707454737206168
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
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Travis Green76858587737099CAN501900,000$


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
1Loui ErikssonVikings (PIR)LW/RW3239397829101020311956813420.00%1564020.028142222572023615255.74%616021052.4400110654
2Tobias RiederVikings (PIR)RW252048683119534331426910814.08%1853021.238122010460113592067.80%1185114022.5600100451
3Casey MittelstadtVikings (PIR)C181622381600102488354518.18%831717.637613729000043063.16%3801719012.4000000252
4Phil VaroneVikings (PIR)C32102434055222710434739.62%2149715.56145220000180163.56%3762422001.3700001141
5Jansen HarkinsVikings (PIR)C15111324-400102381203513.58%1130720.4873108300112171066.67%1501917001.5600000213
6Christian FischerVikings (PIR)RW11910191160131345111620.00%516114.683035170001101075.00%897002.3500000103
7Joel FarabeePiratesLW6681410008102261727.27%811218.790220120001241059.68%6256002.4800000310
Team Total or Average13911116427593402011716167724342816.40%86256818.48344175542132241118513363.72%1155185106082.1400211192114
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
1Samuel MontembeaultPirates1511400.9143.079000046532279000.0000150103
Team Total or Average1511400.9143.079000046532279000.0000150103


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 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
Casey MittelstadtVikings (PIR)C221998-11-22 16:26:31Yes199 Lbs6 ft1NoNoNo1Pro & Farm1,491,667$490,119$0$0$No
Christian FischerVikings (PIR)RW231997-04-15 07:25:31Yes214 Lbs6 ft2NoNoNo1Pro & Farm1,137,500$373,750$0$0$NoLink
Jansen HarkinsVikings (PIR)C231997-05-23 06:13:36Yes182 Lbs6 ft1NoNoNo1Pro & Farm925,000$303,928$0$0$No
Loui ErikssonVikings (PIR)LW/RW351985-07-17 21:26:19No196 Lbs6 ft2NoNoNo3Pro & Farm1,250,009$410,717$0$0$No1,250,009$1,250,009$Link
Phil VaroneVikings (PIR)C301990-12-04 03:26:19No193 Lbs5 ft10YesNoNo1Pro & Farm900,000$295,714$0$0$NoLink
Tobias RiederVikings (PIR)RW281993-01-10 21:26:19No185 Lbs5 ft11YesNoNo1Pro & Farm2,225,000$731,071$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
626.83195 Lbs6 ft11.331,321,529$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Casey MittelstadtTobias Rieder40122
2Loui ErikssonPhil VaroneChristian Fischer30122
320122
4Tobias RiederLoui Eriksson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
4Christian FischerCasey Mittelstadt10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Casey MittelstadtTobias Rieder60122
2Loui ErikssonPhil VaroneChristian Fischer40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tobias Rieder60122
2Loui ErikssonChristian Fischer40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
2Tobias Rieder4012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tobias Rieder60122
2Loui ErikssonChristian Fischer40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Casey MittelstadtTobias Rieder
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Casey MittelstadtTobias Rieder
Extra Forwards
Normal PowerPlayPenalty Kill
Phil Varone, Casey Mittelstadt, Loui ErikssonPhil Varone, Casey MittelstadtLoui Eriksson
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, Tobias Rieder, Loui Eriksson, Christian Fischer, Casey Mittelstadt
Goalie
#1 : , #2 :


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
1Bolt1010000024-2000000000001010000024-200.0002460048128104516512569513627104152150.00%20100.00%041179851.50%45193148.44%596118650.25%11076671205471872419
2Destroyers1010000045-1000000000001010000045-100.0004711004812810453851256951364899132150.00%220.00%041179851.50%45193148.44%596118650.25%11076671205471872419
3Distraction211000001213-11100000093610100000310-720.50012213300481281045615125695136803251255240.00%13469.23%041179851.50%45193148.44%596118650.25%11076671205471872419
4Dynamos42200000181801010000046-2321000001412240.5001830481048128104510751256951368829147414750.00%7271.43%041179851.50%45193148.44%596118650.25%11076671205471872419
5Extreme2110000012111110000007521010000056-120.50012183000481281045785125695136802610247571.43%5260.00%041179851.50%45193148.44%596118650.25%11076671205471872419
6Falcons312000001117-620200000715-81100000042220.333112132004812810456351256951368637265810550.00%13930.77%041179851.50%45193148.44%596118650.25%11076671205471872419
7Guerriers du Nord3200100026121411000000126621001000146861.000265076004812810459951256951367922164713538.46%7271.43%041179851.50%45193148.44%596118650.25%11076671205471872419
8Intrepides33000000199102200000015871100000041361.0001931500048128104510751256951367520163512650.00%8187.50%241179851.50%45193148.44%596118650.25%11076671205471872419
9L'Euphorie420020002113821001000105521001000118381.00021355600481281045126512569513611236266514750.00%13469.23%041179851.50%45193148.44%596118650.25%11076671205471872419
10Les Restants413000002433-920200000818-10211000001615120.25024436700481281045137512569513619751362514964.29%18950.00%041179851.50%45193148.44%596118650.25%11076671205471872419
11Monkeys 302010001114-31010000057-22010100067-120.333112031104812810458651256951361414318347571.43%9455.56%041179851.50%45193148.44%596118650.25%11076671205471872419
12Monster4310000024168211000001212022000000124860.75024446800481281045125512569513614449144510440.00%7185.71%041179851.50%45193148.44%596118650.25%11076671205471872419
13Monsters413000002336-13211000001217-5202000001119-820.2502345680048128104579512569513616771433410660.00%191615.79%041179851.50%45193148.44%596118650.25%11076671205471872419
14Patriotes30300000329-2620200000320-171010000009-900.000369004812810456751256951361294398458112.50%19952.63%041179851.50%45193148.44%596118650.25%11076671205471872419
15Prospects11000000918110000009180000000000021.0009152400481281045375125695136143219000.00%110.00%041179851.50%45193148.44%596118650.25%11076671205471872419
16Senators20200000920-110000000000020200000920-1100.0009172600481281045465125695136832625227457.14%10820.00%041179851.50%45193148.44%596118650.25%11076671205471872419
17Sharks201010001214-2201010001214-20000000000020.500122335004812810457251256951367622102855100.00%5340.00%041179851.50%45193148.44%596118650.25%11076671205471872419
18Shokers1010000023-11010000023-10000000000000.000246004812810452251256951364725213000.00%10100.00%041179851.50%45193148.44%596118650.25%11076671205471872419
Total53222605000285293-827111402000155158-326111203000130135-5540.509285512797204812810451600512569513618216134627071678852.69%1808751.67%341179851.50%45193148.44%596118650.25%11076671205471872419
19Wildcats2110000013941010000024-211000000115620.500132538004812810458751256951366123142610550.00%7357.14%041179851.50%45193148.44%596118650.25%11076671205471872419
20Youngblood43100000301614321000002614121100000042260.75030538300481281045147512569513687362860171058.82%14750.00%141179851.50%45193148.44%596118650.25%11076671205471872419
_Since Last GM Reset53222605000285293-827111402000155158-326111203000130135-5540.509285512797204812810451600512569513618216134627071678852.69%1808751.67%341179851.50%45193148.44%596118650.25%11076671205471872419
_Vs Conference2771802000129184-551129000005189-381659020007895-17180.3331292393682048128104572251256951361018331285352854350.59%1046141.35%041179851.50%45193148.44%596118650.25%11076671205471872419
_Vs Division15470200076101-25615000002948-19932020004753-6120.40076138214204812810454095125695136593194111167452760.00%533141.51%041179851.50%45193148.44%596118650.25%11076671205471872419

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5354OTW12855127971600182161346270720
All Games
GPWLOTWOTL SOWSOLGFGA
5322265000285293
Home Games
GPWLOTWOTL SOWSOLGFGA
2711142000155158
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2611123000130135
Last 10 Games
WLOTWOTL SOWSOL
631000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1678852.69%1808751.67%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5125695136481281045
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
41179851.50%45193148.44%596118650.25%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11076671205471872419


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
2 - 2021-02-1512Youngblood6Vikings3LBoxScore
3 - 2021-02-1621Vikings2Bolt4LBoxScore
5 - 2021-02-1831Vikings3Dynamos4LBoxScore
7 - 2021-02-2043Patriotes10Vikings3LBoxScore
9 - 2021-02-2255Monsters7Vikings11WBoxScore
11 - 2021-02-2466Monsters10Vikings1LBoxScore
13 - 2021-02-2676Vikings4Falcons2WBoxScore
15 - 2021-02-2886Vikings8Guerriers du Nord1WBoxScore
17 - 2021-03-0298Falcons9Vikings3LBoxScore
19 - 2021-03-04110Vikings7Monsters9LBoxScore
21 - 2021-03-06119Vikings4Dynamos3WBoxScore
23 - 2021-03-08130Patriotes10Vikings0LBoxScore
25 - 2021-03-10141Dynamos6Vikings4LBoxScore
27 - 2021-03-12154Vikings4Monsters10LBoxScore
29 - 2021-03-14163Vikings0Patriotes9LBoxScore
31 - 2021-03-16175Guerriers du Nord6Vikings12WBoxScore
33 - 2021-03-18186Vikings6Guerriers du Nord5WXBoxScore
34 - 2021-03-19195Shokers3Vikings2LBoxScore
36 - 2021-03-21207Falcons6Vikings4LBoxScore
39 - 2021-03-24219Vikings4Senators11LBoxScore
40 - 2021-03-25230Monster9Vikings6LBoxScore
42 - 2021-03-27241Vikings5Monster3WBoxScore
44 - 2021-03-29253L'Euphorie3Vikings4WXBoxScore
46 - 2021-03-31264Vikings4Destroyers5LBoxScore
48 - 2021-04-02274Intrepides4Vikings9WBoxScore
50 - 2021-04-04284Vikings4Intrepides1WBoxScore
51 - 2021-04-05296Wildcats4Vikings2LBoxScore
52 - 2021-04-06305Vikings1Monkeys 3LBoxScore
54 - 2021-04-08319Monster3Vikings6WBoxScore
56 - 2021-04-10332Extreme5Vikings7WBoxScore
58 - 2021-04-12345Sharks9Vikings6LBoxScore
60 - 2021-04-14352Vikings9Les Restants6WBoxScore
62 - 2021-04-16363Vikings11Wildcats5WBoxScore
64 - 2021-04-18376Youngblood3Vikings12WBoxScore
65 - 2021-04-19388Vikings5Monkeys 4WXBoxScore
67 - 2021-04-21398Vikings3Distraction10LBoxScore
68 - 2021-04-22406L'Euphorie2Vikings6WBoxScore
70 - 2021-04-24417Vikings5Extreme6LBoxScore
71 - 2021-04-25427Intrepides4Vikings6WBoxScore
73 - 2021-04-27436Vikings7Les Restants9LBoxScore
75 - 2021-04-29447Les Restants13Vikings4LBoxScore
76 - 2021-04-30463Sharks5Vikings6WXBoxScore
78 - 2021-05-02475Vikings7Monster1WBoxScore
79 - 2021-05-03482Vikings3L'Euphorie1WBoxScore
80 - 2021-05-04489Vikings4Youngblood2WBoxScore
82 - 2021-05-06500Les Restants5Vikings4LBoxScore
84 - 2021-05-08512Vikings7Dynamos5WBoxScore
86 - 2021-05-10522Prospects1Vikings9WBoxScore
88 - 2021-05-12537Distraction3Vikings9WBoxScore
90 - 2021-05-14552Monkeys 7Vikings5LBoxScore
91 - 2021-05-15558Vikings5Senators9LBoxScore
93 - 2021-05-17572Youngblood5Vikings11WBoxScore
94 - 2021-05-18582Vikings8L'Euphorie7WXBoxScore
95 - 2021-05-19592Vikings-Wildcats-
97 - 2021-05-21598Vikings-Falcons-
98 - 2021-05-22607Senators-Vikings-
100 - 2021-05-24620Vikings-Shokers-
101 - 2021-05-25630Warriors-Vikings-
103 - 2021-05-27645Dynamos-Vikings-
104 - 2021-05-28653Vikings-Extreme-
106 - 2021-05-30663Vikings-Patriotes-
107 - 2021-05-31672Vikings-Prospects-
109 - 2021-06-02682Bolt-Vikings-
110 - 2021-06-03695Vikings-Warriors-
112 - 2021-06-05704Monkeys -Vikings-
113 - 2021-06-06716Destroyers-Vikings-
115 - 2021-06-08728Vikings-Shokers-
116 - 2021-06-09735Vikings-Intrepides-
117 - 2021-06-10745Bolt-Vikings-
119 - 2021-06-12753Vikings-Destroyers-
121 - 2021-06-14766Senators-Vikings-
123 - 2021-06-16783Warriors-Vikings-
124 - 2021-06-17794Vikings-Bolt-
Trade Deadline --- Trades can’t be done after this day is simulated!
126 - 2021-06-19806Distraction-Vikings-
128 - 2021-06-21825Guerriers du Nord-Vikings-
129 - 2021-06-22836Vikings-Monster-
131 - 2021-06-24846Destroyers-Vikings-
133 - 2021-06-26861Patriotes-Vikings-
134 - 2021-06-27864Vikings-Sharks-
135 - 2021-06-28874Vikings-Warriors-
136 - 2021-06-29884Vikings-Prospects-
139 - 2021-07-02896Destroyers-Vikings-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
14 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,156,317$ 792,918$ 792,918$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 552,020$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 46 12,092$ 556,232$




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
202053222605000285293-827111402000155158-326111203000130135-554285512797204812810451600512569513618216134627071678852.69%1808751.67%341179851.50%45193148.44%596118650.25%11076671205471872419
Total Regular Season53222605000285293-827111402000155158-326111203000130135-554285512797204812810451600512569513618216134627071678852.69%1808751.67%341179851.50%45193148.44%596118650.25%11076671205471872419
Playoff
20191174000006957126420000039291053200000302821469107176001330251574200201168534612784196483777.08%271737.04%017231654.43%7015146.36%13223955.23%2992072027816085
2019404000001024-1420200000411-720200000613-70101929002530115384235016157306515426.67%151220.00%0438650.00%296743.28%296942.03%804693396530
20191174000006957126420000039291053200000302821469107176001330251574200201168534612784196483777.08%271737.04%017231654.43%7015146.36%13223955.23%2992072027816085
2019404000001024-1420200000411-720200000613-70101929002530115384235016157306515426.67%151220.00%0438650.00%296743.28%296942.03%804693396530
Total Playoff30141600000158162-4168800000868061468000007282-102815825241000307056213784764864061010143682285221268265.08%845830.95%043080453.48%19843645.41%32261652.27%761507591236453232