Please rotate your device to landscape mode for a better experience.
Login

Bulldogs
GP: 64 | W: 33 | L: 27 | OTL: 4 | P: 70
GF: 216 | GA: 212 | PP%: 33.94% | PK%: 72.51%
GM : Rico | Morale : 92 | Team Overall : N/A
Next Games #1013 vs Gorillas

Game Center
Bulldogs
33-27-4, 70pts
2
FINAL
6 Moose
43-16-4, 90pts
Team Stats
L2StreakW3
15-16-0Home Record21-8-2
18-11-4Home Record22-8-2
3-6-1Last 10 Games7-2-1
3.38Goals Per Game3.59
3.31Goals Against Per Game2.78
33.94%Power Play Percentage28.52%
72.51%Penalty Kill Percentage65.98%
Wolves
20-34-8, 48pts
3
FINAL
2 Bulldogs
33-27-4, 70pts
Team Stats
W1StreakL2
7-21-3Home Record15-16-0
13-13-5Home Record18-11-4
4-5-1Last 10 Games3-6-1
3.26Goals Per Game3.38
4.10Goals Against Per Game3.31
28.41%Power Play Percentage33.94%
67.10%Penalty Kill Percentage72.51%
Gorillas
26-32-8, 60pts
Day 142
Bulldogs
33-27-4, 70pts
Team Stats
L1StreakL2
14-13-4Home Record15-16-0
12-19-4Away Record18-11-4
5-4-1Last 10 Games3-6-1
3.17Goals Per Game3.38
3.82Goals Against Per Game3.38
25.27%Power Play Percentage33.94%
71.13%Penalty Kill Percentage72.51%
Phantoms
26-30-7, 59pts
Day 145
Bulldogs
33-27-4, 70pts
Team Stats
L10StreakL2
10-17-4Home Record15-16-0
16-13-3Away Record18-11-4
0-10-0Last 10 Games3-6-1
3.22Goals Per Game3.38
3.71Goals Against Per Game3.38
23.24%Power Play Percentage33.94%
71.53%Penalty Kill Percentage72.51%
Bulldogs
33-27-4, 70pts
Day 148
Mountaineers
37-24-5, 79pts
Team Stats
L2StreakW2
15-16-0Home Record20-9-2
18-11-4Away Record17-15-3
3-6-1Last 10 Games7-3-0
3.38Goals Per Game3.32
3.31Goals Against Per Game3.32
33.94%Power Play Percentage30.77%
72.51%Penalty Kill Percentage73.14%
Team Leaders
Goals
Mikael Pyyhtia
47
Assists
Mikael Pyyhtia
42
Points
Mikael Pyyhtia
89
Plus/Minus
Michael Brandsegg-Nygard
5
Wins
Colten Ellis
12
Save Percentage
Mads Sogaard
0.916

Team Stats
Goals For
216
3.38 GFG
Shots For
1885
29.45 Avg
Power Play Percentage
33.9%
93 GF
Offensive Zone Start
36.9%
Goals Against
212
3.31 GAA
Shots Against
1982
30.97 Avg
Penalty Kill Percentage
72.5%%
80 GA
Defensive Zone Start
38.8%
Team Info

General ManagerRico
CoachKirk MacDonald
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance7,625
Season Tickets800


Roster Info

Pro Team25
Farm Team22
Contract Limit47 / 65
Prospects19


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
1Nicolas Aube-KubelXX100.0074568764807681686565666965616407700281800,000$
2Liam GormanX100.0060606060607070606060606060495807800241771,750$
3Alexander CampbellXXX100.00606060606070706060606060604657078002311,023,750$
4Kole LindXX100.00606060606070706060606060606368075002622,128,125$
5Keean WashkurakX100.0060606060607070606060606060546007000232826,875$
6William StromgrenXX100.00606060606070706060606060604758079002121,312,500$
7Elliot EkefjardXX100.0060606060607070606060606060575807400222682,500$
8Alexander GordinXXX100.0060606060607070606060606060405507000231735,000$
9Michael Brandsegg-Nygard (R)XX100.00606060606070706060606060604455080001931,500,000$
10Tanner Howe (R)X100.00606060606070706060606060604855078001931,250,000$
11Juha JaaskaXX100.0062568869797592696970686865645807900261700,000$
12Maxwell GildonX100.00606060606070706060606060605460062002511,074,938$
13Alex GagneX100.0060606060607070606060606060455808000221735,000$
14Ville OttavainenX100.00735089638081926125626173654958076002211,023,750$
15Nikita NovikovX100.0060606060607070606060606060455807500212682,500$
16Elias Pettersson.X100.0072548971717990692565667165405507600201975,000$
17Vittorio ManciniX100.0071509280868288752569697265405506801221650,000$
Scratches
1Mikael PyyhtiaXX83.81655094706779926965656776654958075002331,250,000$
2Nate DanielsonX96.26606060606070706060606060604055073012021,500,000$
3Samuel KnazkoX81.91606060606070706060606060604557060002211,023,750$
4Ole Julian Bjorgvik-HolmX100.0060606060607070606060606060485705600222787,500$
5Quinton Burns (R)X100.0060606060607070606060606060485506700193975,000$
TEAM AVERAGE98.186358686365727562566262636149580730
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 SPAgeContractSalary
1Mads Sogaard100.0060707060606060606060605061067002421,050,000$
2Colten Ellis100.006070706060606060606060566106700241866,250$
Scratches
1Rasmus Korhonen97.456070706060606060606060465705800222866,250$
TEAM AVERAGE99.00607070606060606060606051600640
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kirk MacDonald6565656561661USA412600,000$


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
1Mikael PyyhtiaBulldogs (STL)LW/RW63474289-248407912631910320114.73%43154424.5223184158172022152027248.85%3916033011.1547323854
2Juha JaaskaBulldogs (STL)LW/RW58234265-13665068831884810312.23%32110319.021326393913201191314154.68%3953922001.1825334344
3Nicolas Aube-KubelBulldogs (STL)LW/RW64253560-3382098971935213212.95%33130020.326172338175404151754153.28%1222621100.9207121384
4Nate DanielsonBulldogs (STL)C64163450-11388011385130388812.31%21119118.62919282915700091381344.25%6961718000.84032311320
5Elias Pettersson.Bulldogs (STL)D5943337-35430689814750672.72%94152925.9331114251560117182110%03956000.4811213111
6Alexander GordinBulldogs (STL)C/LW/RW58142034-324212085108117418111.97%22102717.7241115201190000362047.65%7031516010.6612789102
7Elliot EkefjardBulldogs (STL)LW/RW57161531-3144808559125356012.80%1891015.973699540005601152.04%981510000.6833456331
8Vittorio ManciniBulldogs (STL)D3892029-6101021559941329.09%4174719.686101632881126100100%02123000.7811110210
9Michael Brandsegg-NygardBulldogs (STL)LW/RW591513285131658677101376114.85%2196116.2964101160000002144.32%264914010.5801616111
10Tanner HoweBulldogs (STL)LW61111223-610965756653282720.75%1181313.344261234000081343.33%120213000.5700427021
11Kole LindBulldogs (STL)LW/RW5191322-316985806256224716.07%1579015.503367690006401048.65%2961316000.5600827101
12Maxwell GildonBulldogs (STL)D483811-12694533493711128.11%3675915.82358792000393100%0311000.2900144001
13Keean WashkurakBulldogs (STL)C4411011334102518279293.70%73207.290554350000140045.56%27032000.6900020010
14Alex GagneBulldogs (STL)D4411011-31286039604319162.33%3993721.31134380000077000%02116000.2300426000
15Owen PickeringBluesD17281087520374125194.88%3346227.231231053000166010%01619000.4301100110
16Alexander CampbellBulldogs (STL)C/LW/RW45279-528104129228189.09%73758.351011210000210053.10%11314000.4800002000
17Ville OttavainenBulldogs (STL)D58279-8222041804726304.26%64116220.0522481010004160000%01231000.1511022001
18Samuel KnazkoBulldogs (STL)D383583613536312315813.04%1856814.95224339011069110%0215000.2800124010
19Quinton BurnsBulldogs (STL)D5435803715344237868.11%3784815.71235990000284100%01317000.1900012002
20Liam GormanBulldogs (STL)C48426-6261040122591516.00%53647.601234330000241049.15%17704000.3300101002
21William StromgrenBulldogs (STL)LW/RW472352492519353011146.67%124028.57000011000060051.92%15623000.2500320000
22Nikita NovikovBulldogs (STL)D49044-34945202310720%173988.1400006000013000%0410000.2000324000
23Ole Julian Bjorgvik-HolmBulldogs (STL)D2802234820101715270%1635912.830001900001800100.00%124000.1100012000
Team Total or Average1152212350562-561707945121613491885645107511.25%6421888216.399315124433017975611821727291548.16%3802335378130.601332554884273025
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
1Johan GustafssonBlues27161000.9012.9415534276764431310.58312270420
2Colten EllisBulldogs (STL)2812730.8893.4014490182739421300.571142524112
3Rasmus KorhonenBulldogs (STL)153710.8783.806000038311172000.7504921100
4Mads SogaardBulldogs (STL)51200.9163.0913600783450000017000
5Sergey MurashovBlues31100.9402.261330058453000032001
Team Total or Average78332740.8953.223872432081981112261306464633


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alex GagneBulldogs (STL)D222002-08-12USANo207 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm735,000$187,660$73,500$18,766$No---------------------------
Alexander CampbellBulldogs (STL)C/LW/RW232001-02-27CANNo176 Lbs5 ft10NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$261,383$102,375$26,138$No---------------------------
Alexander GordinBulldogs (STL)C/LW/RW232001-07-31RUSNo186 Lbs7 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm735,000$187,660$73,500$18,766$No---------------------------
Colten EllisBulldogs (STL)G242000-10-05CANNo187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm866,250$221,170$86,625$22,117$No---------------------------
Elias Pettersson.Bulldogs (STL)D202004-02-16SWENo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$248,936$97,500$24,894$No---------------------------
Elliot EkefjardBulldogs (STL)LW/RW222002-01-25SWENo216 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$174,255$68,250$17,426$No682,500$--------682,500$--------No--------
Juha JaaskaBulldogs (STL)LW/RW261998-02-09FINNo210 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm700,000$178,723$70,000$17,872$No---------------------------
Keean WashkurakBulldogs (STL)C232001-08-16CAMNo185 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm826,875$211,117$82,688$21,112$No826,875$--------826,875$--------No--------
Kole LindBulldogs (STL)LW/RW261998-10-16CANNo193 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm2,128,125$543,351$212,812$54,335$No2,128,125$--------2,128,125$--------No--------
Liam GormanBulldogs (STL)C242000-05-08USANo187 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm771,750$197,043$77,175$19,704$No---------------------------
Mads SogaardBulldogs (STL)G242000-12-13DNKNo196 Lbs6 ft7NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,050,000$268,085$105,000$26,809$No1,050,000$--------1,050,000$--------No--------
Maxwell GildonBulldogs (STL)D251999-05-17USANo192 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,074,938$274,452$107,494$27,445$No---------------------------
Michael Brandsegg-NygardBulldogs (STL)LW/RW192005-10-05NORYes207 Lbs5 ft11NoNoDraftNoNo32025-08-24FalseFalsePro & Farm1,500,000$382,979$150,000$38,298$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Mikael Pyyhtia (Out of Payroll)Bulldogs (STL)LW/RW232001-12-17FINNo176 Lbs6 ft0NoNoN/ANoNo32025-09-08FalseFalsePro & Farm1,250,000$319,149$125,000$31,915$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Nate DanielsonBulldogs (STL)C202004-09-27CANNo187 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$382,979$150,000$38,298$No1,500,000$--------1,500,000$--------No--------
Nicolas Aube-KubelBulldogs (STL)LW/RW281996-05-10CANNo213 Lbs6 ft0NoNoFree AgentNoNo12025-05-16FalseFalsePro & Farm800,000$204,255$80,000$20,426$No---------------------------
Nikita NovikovBulldogs (STL)D212003-07-25RUSNo207 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$174,255$68,250$17,426$No682,500$--------682,500$--------No--------
Ole Julian Bjorgvik-HolmBulldogs (STL)D222002-05-23NORNo194 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$201,064$78,750$20,106$No787,500$--------787,500$--------No--------
Quinton BurnsBulldogs (STL)D192005-04-14CANYes198 Lbs6 ft0NoNoProspectNoNo32025-08-24FalseFalsePro & Farm975,000$248,936$97,500$24,894$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Rasmus KorhonenBulldogs (STL)G222002-10-22FINNo203 Lbs6 ft5NoNoN/ANoNo22025-09-08FalseFalsePro & Farm866,250$221,170$86,625$22,117$No866,250$--------866,250$--------No--------
Samuel Knazko (Out of Payroll)Bulldogs (STL)D222002-08-07SVKNo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$261,383$102,375$26,138$No---------------------------
Tanner HoweBulldogs (STL)LW192005-11-28CANYes183 Lbs5 ft9NoNoDraftNoNo32025-08-24FalseFalsePro & Farm1,250,000$319,149$125,000$31,915$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Ville OttavainenBulldogs (STL)D222002-08-12FINNo210 Lbs6 ft5NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$261,383$102,375$26,138$No---------------------------
Vittorio ManciniBulldogs (STL)D222002-05-26USANo229 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$165,957$65,000$16,596$No---------------------------
William StromgrenBulldogs (STL)LW/RW212003-06-07SWENo176 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$335,106$131,250$33,511$No1,312,500$--------1,312,500$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2522.48196 Lbs6 ft21.681,007,618$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Juha JaaskaNicolas Aube-Kubel28122
2Kole LindAlexander GordinMichael Brandsegg-Nygard28122
3Tanner HoweKeean WashkurakElliot Ekefjard25122
4William StromgrenAlexander CampbellJuha Jaaska19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vittorio ManciniVille Ottavainen28122
2Elias Pettersson.Nikita Novikov28122
3Maxwell GildonAlex Gagne25122
4Vittorio ManciniVille Ottavainen19122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Juha JaaskaNicolas Aube-Kubel50122
2Kole LindAlexander GordinMichael Brandsegg-Nygard50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Vittorio ManciniVille Ottavainen50122
2Elias Pettersson.Nikita Novikov50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Juha JaaskaNicolas Aube-Kubel50122
2Kole Lind50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Vittorio ManciniVille Ottavainen50122
2Elias Pettersson.Nikita Novikov50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Juha Jaaska50122Vittorio ManciniVille Ottavainen50122
2Nicolas Aube-Kubel50122Elias Pettersson.Nikita Novikov50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Juha JaaskaNicolas Aube-Kubel50122
2Kole Lind50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vittorio ManciniVille Ottavainen50122
2Elias Pettersson.Nikita Novikov50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Juha JaaskaNicolas Aube-KubelVittorio ManciniVille Ottavainen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Juha JaaskaNicolas Aube-KubelVittorio ManciniVille Ottavainen
Extra Forwards
Normal PowerPlayPenalty Kill
Liam Gorman, Tanner Howe, Elliot EkefjardLiam Gorman, Tanner HoweElliot Ekefjard
Extra Defensemen
Normal PowerPlayPenalty Kill
Maxwell Gildon, Alex Gagne, Elias Pettersson.Maxwell GildonAlex Gagne, Elias Pettersson.
Penalty Shots
Juha Jaaska, Nicolas Aube-Kubel, Kole Lind, , Alexander Gordin
Goalie
#1 : Colten Ellis, #2 : Mads Sogaard


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
1Americans1010000012-11010000012-10000000000000.00012300318592171947967970849428372011100.00%70100.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
2Bears11000000202110000002020000000000021.0002350131859217284796797084912512204250.00%10100.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
3Bills52200001232122020000037-4320000012014650.500233861003185921716047967970849167481578417635.29%26965.38%1676140348.18%701147447.56%45492549.08%121754912926741367685
4Blood Miners512000021519-42110000078-130100002811-340.400152237003185921717247967970849187662028921733.33%21766.67%0676140348.18%701147447.56%45492549.08%121754912926741367685
5Blossom Bytes20200000611-51010000034-11010000037-400.0006915003185921755479679708498023534413323.08%9455.56%0676140348.18%701147447.56%45492549.08%121754912926741367685
6Crunch311000101311231100010131120000000000040.667132033013185921795479679708498021636711327.27%14657.14%0676140348.18%701147447.56%45492549.08%121754912926741367685
7Eagles20200000310-71010000016-51010000024-200.0003690031859217494796797084983212444400.00%12466.67%0676140348.18%701147447.56%45492549.08%121754912926741367685
8Gorillas3020001079-21010000023-12010001056-120.33371118003185921773479679708497524605014428.57%9455.56%0676140348.18%701147447.56%45492549.08%121754912926741367685
9Griffins42101000151141010000034-132001000127560.750152641003185921711847967970849100311149326830.77%18572.22%0676140348.18%701147447.56%45492549.08%121754912926741367685
10Grisards1010000023-11010000023-10000000000000.000235003185921735479679708493872923300.00%20100.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
11Gulls11000000642110000006420000000000021.00069150031859217394796797084924915145360.00%5260.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
12Moose20200000410-60000000000020200000410-600.000471100318592174547967970849531332283133.33%11463.64%0676140348.18%701147447.56%45492549.08%121754912926741367685
13Mountaineers21001000642110000003211000100032141.00061016003185921755479679708496731622512433.33%10190.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
14Norsemen11000000312110000003120000000000021.0003580031859217244796797084929810163133.33%50100.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
15Octopus312000001116-51010000046-221100000710-320.3331114250031859217724796797084911844104709444.44%17570.59%1676140348.18%701147447.56%45492549.08%121754912926741367685
16Penguins1010000023-1000000000001010000023-100.00022400318592171847967970849241115233266.67%5180.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
17Redhawks321000001311211000000312211000001010040.667132134003185921777479679708499737844817847.06%14750.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
18Reign3120000068-2211000005501010000013-220.333612181031859217102479679708499130396615213.33%12283.33%0676140348.18%701147447.56%45492549.08%121754912926741367685
19Roadrunners33000000945110000003212200000062461.0009152400318592179547967970849612755546350.00%10280.00%2676140348.18%701147447.56%45492549.08%121754912926741367685
20Rocket31100010954211000006331000001032140.66791625013185921774479679708497517596013430.77%12191.67%0676140348.18%701147447.56%45492549.08%121754912926741367685
21Saints11000000532110000005320000000000021.000510150031859217294796797084922830152150.00%5180.00%1676140348.18%701147447.56%45492549.08%121754912926741367685
22Senators11000000532000000000001100000053221.00057120031859217364796797084933151714400.00%6266.67%0676140348.18%701147447.56%45492549.08%121754912926741367685
23Titans11000000532000000000001100000053221.000571200318592172747967970849361530228450.00%5180.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
24Whalers10000010541100000105410000000000021.000561100318592173147967970849391234253266.67%20100.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
25White Wolves622011002423121100000550411011001918170.58324416500318592172174796797084921462148111361336.11%29968.97%0676140348.18%701147447.56%45492549.08%121754912926741367685
26Wolf Pack11000000312000000000001100000031221.00034700318592172147967970849191114174250.00%20100.00%0676140348.18%701147447.56%45492549.08%121754912926741367685
27Wolves412010001312130201000710-31100000062440.500132437003185921711947967970849116382127417529.41%22386.36%0676140348.18%701147447.56%45492549.08%121754912926741367685
Total642527041432162124311216010209294-2331311031231241186700.54721635056613318592171885479679708491982642171112162749333.94%2918072.51%5676140348.18%701147447.56%45492549.08%121754912926741367685
_Since Last GM Reset26111200120858411247000102830-214750011057543270.519851372221131859217717479679708497552546744881133934.51%1092775.23%2676140348.18%701147447.56%45492549.08%121754912926741367685
_Vs Conference46181803133159155421911000106366-325970312396897520.5651592624211231859217138847967970849143746712018762036733.00%2096369.86%5676140348.18%701147447.56%45492549.08%121754912926741367685
_Vs Division191110021235867-9747000101922-31273021133945-6340.8955896154003185921760247967970849627197471342732534.25%882670.45%2676140348.18%701147447.56%45492549.08%121754912926741367685

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6470L2216350566188519826421711121613
All Games
GPWLOTWOTL SOWSOLGFGA
6425274143216212
Home Games
GPWLOTWOTL SOWSOLGFGA
31121610209294
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3313113123124118
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2749333.94%2918072.51%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
4796797084931859217
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
676140348.18%701147447.56%45492549.08%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
121754912926741367685


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
29Roadrunners2Bulldogs3WBoxScore
320Bulldogs6White Wolves5WXBoxScore
647Wolves4Bulldogs5WXBoxScore
859Bulldogs4Bills2WBoxScore
1074Crunch5Bulldogs6WXXBoxScore
1185Bulldogs2Blood Miners3LXXBoxScore
14105Griffins4Bulldogs3LBoxScore
16119Bulldogs3Mountaineers2WXBoxScore
19138Bulldogs1Gorillas3LBoxScore
20153Reign4Bulldogs1LBoxScore
21154Bulldogs7White Wolves3WBoxScore
25179Eagles6Bulldogs1LBoxScore
26185Bulldogs4Griffins2WBoxScore
29207Bulldogs2Moose4LBoxScore
31219White Wolves4Bulldogs2LBoxScore
35242Rocket0Bulldogs5WBoxScore
37264Bulldogs5Senators3WBoxScore
39273Norsemen1Bulldogs3WBoxScore
42295Bulldogs2Blood Miners3LXXBoxScore
44307Blood Miners2Bulldogs6WBoxScore
46319Bulldogs2Penguins3LBoxScore
48332Bulldogs3Griffins2WXBoxScore
49345Redhawks1Bulldogs3WBoxScore
52363Bulldogs4Blood Miners5LBoxScore
53378Crunch0Bulldogs4WBoxScore
56400Bulldogs2Eagles4LBoxScore
57410Blossom Bytes4Bulldogs3LBoxScore
61434Bulldogs2Roadrunners1WBoxScore
62442Octopus6Bulldogs4LBoxScore
66466Crunch6Bulldogs3LBoxScore
69487Bulldogs4Roadrunners1WBoxScore
71497Blood Miners6Bulldogs1LBoxScore
74518Bulldogs3Rocket2WXXBoxScore
75531Bills4Bulldogs2LBoxScore
78552Bulldogs8Bills9LXXBoxScore
80561Gulls4Bulldogs6WBoxScore
83582Bulldogs3Blossom Bytes7LBoxScore
85594White Wolves1Bulldogs3WBoxScore
87608Bulldogs2White Wolves5LBoxScore
89627Bills3Bulldogs1LBoxScore
92648Bulldogs5Griffins3WBoxScore
93659Bears0Bulldogs2WBoxScore
96683Bulldogs5Redhawks8LBoxScore
97690Reign1Bulldogs4WBoxScore
101716Bulldogs6Wolves2WBoxScore
102725Saints3Bulldogs5WBoxScore
104741Bulldogs8Bills3WBoxScore
107755Rocket3Bulldogs1LBoxScore
109768Bulldogs4Gorillas3WXXBoxScore
111786Whalers4Bulldogs5WXXBoxScore
115812Bulldogs5Redhawks2WBoxScore
116820Mountaineers2Bulldogs3WBoxScore
118836Bulldogs1Reign3LBoxScore
120850Grisards3Bulldogs2LBoxScore
122865Bulldogs2Octopus6LBoxScore
124880Gorillas3Bulldogs2LBoxScore
126897Bulldogs5Octopus4WBoxScore
128914Americans2Bulldogs1LBoxScore
129927Bulldogs4White Wolves5LXBoxScore
132945Wolves3Bulldogs0LBoxScore
134956Bulldogs5Titans3WBoxScore
136973Bulldogs3Wolf Pack1WBoxScore
138980Bulldogs2Moose6LBoxScore
139990Wolves3Bulldogs2LBoxScore
1421013Gorillas-Bulldogs-
1451039Phantoms-Bulldogs-
1481058Bulldogs-Mountaineers-
1501073Admirals-Bulldogs-
1511086Bulldogs-Gorillas-
1541105Silver Knights-Bulldogs-
1581135Roadrunners-Bulldogs-
1601144Bulldogs-Saints-
1621163Griffins-Bulldogs-
1641177Bulldogs-Silver Knights-
1671196Eagles-Bulldogs-
Trade Deadline --- Trades can’t be done after this day is simulated!
1681207Bulldogs-Saints-
1721229Rams-Bulldogs-
1741235Bulldogs-Silver Knights-
1771257Roadrunners-Bulldogs-
1811278Bulldogs-Crunch-
1841293Rams-Bulldogs-
1851302Bulldogs-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price3014
Attendance77,500158,888
Attendance PCT100.00%93.19%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
10 7625 - 95.32% 176,107$5,459,319$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,327,260$ 2,291,669$ 2,291,669$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
15,381$ 2,327,260$ 23 2

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,761,071$ 48 15,381$ 738,288$




Bulldogs Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bulldogs Goalies Stat Leaders (Regular Season)

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

Bulldogs Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Bulldogs Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bulldogs Goalies Stat Leaders (Play-Off)

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