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

Snowbirds
GP: 73 | W: 37 | L: 31 | OTL: 5 | P: 79
GF: 235 | GA: 230 | PP%: 14.20% | PK%: 81.52%
GM : Matthew Gagne | Morale : 90 | Team Overall : 58
Next Games #1155 vs Outlaws

Game Center
Snowbirds
37-31-5, 79pts		4
Box score
 5 Barracudas
46-23-4, 96pts
Team Stats
W1StreakW3
20-15-2Home Record27-9-1
17-16-3Home Record19-14-3
5-4-1Last 10 Games6-3-1
3.22Goals Per Game3.84
3.15Goals Against Per Game3.32
14.20%Power Play Percentage15.93%
81.52%Penalty Kill Percentage82.84%
Snowbirds
37-31-5, 79pts		5
Box score
 4 Farmers
35-35-4, 74pts
Team Stats
W1StreakL2
20-15-2Home Record17-18-2
17-16-3Home Record18-17-2
5-4-1Last 10 Games4-4-2
3.22Goals Per Game3.28
3.15Goals Against Per Game3.50
14.20%Power Play Percentage18.63%
81.52%Penalty Kill Percentage84.47%
Outlaws
43-25-6, 92pts
Day 94
 Snowbirds
37-31-5, 79pts
Team Stats
W1StreakW1
25-8-4Home Record20-15-2
18-17-2Away Record17-16-3
4-4-2Last 10 Games5-4-1
3.24Goals Per Game3.22
2.99Goals Against Per Game3.22
12.24%Power Play Percentage14.20%
85.75%Penalty Kill Percentage81.52%
Snowbirds
37-31-5, 79pts
Day 95
 Rockets
43-26-5, 91pts
Team Stats
W1StreakL3
20-15-2Home Record26-10-1
17-16-3Away Record17-16-4
5-4-1Last 10 Games5-4-1
3.22Goals Per Game3.68
3.15Goals Against Per Game3.68
14.20%Power Play Percentage16.11%
81.52%Penalty Kill Percentage84.38%
Supreme
43-23-6, 92pts
Day 97
 Snowbirds
37-31-5, 79pts
Team Stats
L2StreakW1
20-14-3Home Record20-15-2
23-9-3Away Record17-16-3
2-5-3Last 10 Games5-4-1
3.64Goals Per Game3.22
3.25Goals Against Per Game3.22
14.08%Power Play Percentage14.20%
83.45%Penalty Kill Percentage81.52%
Team Leaders
Oliver KylingtonGoals
Oliver Kylington
5		 Oliver KylingtonAssists
Oliver Kylington
11
Oliver KylingtonPoints
Oliver Kylington
16		 Alec RegulaPlus/Minus
Alec Regula
4
Connor IngramWins
Connor Ingram
5		 Nico DawsSave Percentage
Nico Daws
0.915

Team Stats
Goals For
235
3.22 GFG		 Shots For
2503
34.29 Avg		 Power Play Percentage
14.2%
50 GF		 Offensive Zone Start
40.4%
Goals Against
230
3.15 GAA		 Shots Against
2498
34.22 Avg		 Penalty Kill Percentage
81.5%%
68 GA		 Defensive Zone Start
41.8%
Team Info

General ManagerMatthew Gagne
CoachJeff Blashill
DivisionDivision Est
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity5,000
Attendance4,992
Season Tickets2,000


Roster Info

Pro Team13
Farm Team18
Contract Limit31 / 50
Prospects16


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
1Ivan Miroshnichenko (R)X100.00784595815950405330525455668168090560212950,000$
2Ivan Demidov (R)X100.005045957862694049304454595079700905501951,200,000$
3Jonathan ToewsX100.005045958660504045304050555094890905403742,000,000$
4Quinn Hutson (R)X100.00504592804767404530405055508373090530235800,000$
5Filip Hallander (R)X100.00504595776050404530405055508269090520251775,000$
6John St. Ivany (R)X100.00904872757068404730445085508575090650262800,000$
7Simon Nemec (R)X100.005045818056624053304659626681700905902121,200,000$
8Reilly Walsh (R)X100.00504595786050404530405055508471090560262775,000$
9Alec RegulaX100.00504595746050404530405055508273090550252775,000$
Scratches
1Oliver KylingtonX100.00504584835151405630565669678775090610281775,000$
2Jeremy DaviesX100.00504595786050404530405055508673090560283775,000$
TEAM AVERAGE100.0056459079595640483044526054847309057
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
1Connor Ingram100.00725675917371717273727087790906402831,600,000$
2Nico Daws (R)100.00705060897070707070707184720906202411,000,000$
Scratches
TEAM AVERAGE100.007153689072717171727171867609063
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Blashill65656565847872CAN5321,000,000$


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
1Oliver KylingtonSnowbirds (MIA)D3051116-10200284446144110.87%3160220.08437275200013601100.00%100000.5300000634
2Jeremy DaviesSnowbirds (MIA)D534711-228060286317316.35%3674013.96000040000162028.13%3200000.3003000474
3Reilly WalshSnowbirds (MIA)D49279-1124051434222374.76%3871914.6800028000082041.10%16300000.2511000455
4Quinn HutsonSnowbirds (MIA)RW1823512018191451014.29%323613.131124480001310143.24%11100000.4201000023
5John St. IvanySnowbirds (MIA)D10044-41002019166140%1419619.630001531000024000%100000.4100000110
6Alec RegulaSnowbirds (MIA)D170444401115102110%728516.800001440000130038.85%13900000.2800000112
7Ivan DemidovSnowbirds (MIA)RW11224-3005182611197.69%123121.091015450001340027.27%2200000.3402000100
8Jeremy LauzonMiami HeatD5112-1100246901211.11%912525.1200041800009000%000000.3200000100
9Jonathan ToewsSnowbirds (MIA)C5101-12021381412.50%09619.34000420000080046.00%10000000.2111000000
10Simon NemecSnowbirds (MIA)D4011240831330%47318.41000113000010000%000000.2700000000
Team Total or Average202174057-251040227208235811827.23%143330716.3864106328700031934240.60%56900000.3428000181918
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
1Connor IngramSnowbirds (MIA)135710.8923.5768900413790200.6005130213
2Nico DawsSnowbirds (MIA)82300.9153.01399212023400000518312
Team Total or Average2171010.9003.361088216161302051818525


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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
Alec RegulaSnowbirds (MIA)D252000-08-06USANo208 Lbs6 ft4NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$114,815$0$0$No775,000$--------775,000$--------No--------NHL Link
Connor IngramSnowbirds (MIA)G281997-03-31CANNo196 Lbs6 ft2NoNoN/ANoNo32026-03-08FalseFalsePro & Farm1,600,000$237,037$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------NHL Link
Filip HallanderSnowbirds (MIA)C252000-06-29SWEYes190 Lbs6 ft1NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$114,815$0$0$No---------------------------
Ivan DemidovSnowbirds (MIA)RW192005-12-10CANYes192 Lbs6 ft1NoNoDraftNoNo52026-03-08FalseFalsePro & Farm1,200,000$177,778$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$-----1,200,000$1,200,000$1,200,000$1,200,000$-----NoNoNoNo-----NHL Link
Ivan MiroshnichenkoSnowbirds (MIA)LW212004-02-04RUSYes185 Lbs6 ft1NoNoN/ANoNo22026-03-08FalseFalsePro & Farm950,000$140,741$0$0$No950,000$--------950,000$--------No--------NHL Link
Jeremy DaviesSnowbirds (MIA)D281996-12-04CANNo180 Lbs5 ft11NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$114,815$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------NHL Link
John St. IvanySnowbirds (MIA)D261999-07-22USAYes198 Lbs6 ft3NoNoN/ANoNo22026-03-08FalseFalsePro & Farm800,000$118,519$0$0$No800,000$--------800,000$--------No--------
Jonathan ToewsSnowbirds (MIA)C371988-04-29CANNo201 Lbs6 ft2NoNoTrade2025-07-03NoNo42026-03-08FalseFalsePro & Farm2,000,000$296,296$0$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------
Nico DawsSnowbirds (MIA)G242000-12-22DEUYes205 Lbs6 ft4NoNoTrade2025-01-18NoNo12026-03-08FalseFalsePro & Farm1,000,000$148,148$0$0$No---------------------------NHL Link
Oliver KylingtonSnowbirds (MIA)D281997-05-19SWENo183 Lbs6 ft0NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$114,815$0$0$No---------------------------NHL Link
Quinn HutsonSnowbirds (MIA)RW232002-01-01USAYes170 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$118,519$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----NHL Link
Reilly WalshSnowbirds (MIA)D261999-04-21USAYes185 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$114,815$0$0$No775,000$--------775,000$--------No--------NHL Link
Simon NemecSnowbirds (MIA)D212004-02-15SLKYes190 Lbs6 ft1NoNoN/ANoNo22026-03-08FalseFalsePro & Farm1,200,000$177,778$0$0$No1,200,000$--------1,200,000$--------No--------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1325.46191 Lbs6 ft12.541,032,692$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135122
230122
325122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135122
230122
3Reilly Walsh25122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
155122
245122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15512255122
24512245122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
245122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
Reilly Walsh, , Reilly Walsh,
Penalty Shots
, , , ,
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
OverallHome Visitor
# 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 RI
1Bandits30300000613-72020000049-51010000024-200.0006101600977259710282980083651823130781516.67%15660.00%01308255151.27%1293263849.01%556112149.60%177812861808496834412
2Barracudas20200000511-61010000016-51010000045-100.000591400977259760829800836511042750495120.00%24483.33%01308255151.27%1293263849.01%556112149.60%177812861808496834412
3Bayou20200000510-51010000014-31010000046-200.0005101500977259761829800836511032428629111.11%14378.57%01308255151.27%1293263849.01%556112149.60%177812861808496834412
4Chiwawa32100000963220000007341010000023-140.66791827009772597117829800836519629467713323.08%21385.71%11308255151.27%1293263849.01%556112149.60%177812861808496834412
5CoolFm21000100761210001007610000000000030.75071421019772597558298008365173233857600.00%19384.21%11308255151.27%1293263849.01%556112149.60%177812861808496834412
6Farmers3300000013851100000032122000000106461.000132538009772597898298008365110036248514214.29%12283.33%01308255151.27%1293263849.01%556112149.60%177812861808496834412
7Goons20101000550100010003211010000023-120.5005914009772597648298008365150231630700.00%8275.00%01308255151.27%1293263849.01%556112149.60%177812861808496834412
8Grizzlies312000001112-1211000009811010000024-220.333112233109772597828298008365112622467215426.67%21385.71%01308255151.27%1293263849.01%556112149.60%177812861808496834412
9Hunters3120000068-21010000024-22110000044020.33361117009772597968298008365110130277718211.11%9188.89%01308255151.27%1293263849.01%556112149.60%177812861808496834412
10Husky321000008621010000013-22200000073440.6678132100977259712082980083651972821801000.00%7271.43%01308255151.27%1293263849.01%556112149.60%177812861808496834412
11Igloos302000101012-2201000109901010000013-220.333101828009772597103829800836511064441851616.25%17382.35%01308255151.27%1293263849.01%556112149.60%177812861808496834412
12Marlies3200010013112220000009631000010045-150.8331325380097725971198298008365111941377718422.22%14378.57%11308255151.27%1293263849.01%556112149.60%177812861808496834412
13Marmots32100000633110000003032110000033040.6676111701977259710982980083651591620601516.67%9277.78%11308255151.27%1293263849.01%556112149.60%177812861808496834412
14Outlaws1010000034-1000000000001010000034-100.000369009772597298298008365136910274125.00%5340.00%01308255151.27%1293263849.01%556112149.60%177812861808496834412
15Predateurs21000010752110000004311000001032141.000710170097725975582980083651712626448112.50%9188.89%01308255151.27%1293263849.01%556112149.60%177812861808496834412
16Raptors11000000523110000005230000000000021.00051015009772597478298008365129710252150.00%4175.00%01308255151.27%1293263849.01%556112149.60%177812861808496834412
17Rockets20100001611-51010000037-41000000134-110.250612180097725975682980083651691920551100.00%11372.73%01308255151.27%1293263849.01%556112149.60%177812861808496834412
18Sags2110000035-2110000003211010000003-320.50036900977259754829800836513710835300.00%4175.00%01308255151.27%1293263849.01%556112149.60%177812861808496834412
19Scorpions211000001010021100000101000000000000020.50010182800977259777829800836517219183415213.33%9277.78%01308255151.27%1293263849.01%556112149.60%177812861808496834412
20Smirnoff Ice4010300017152200020009722010100088060.7501731480097725971718298008365114039439922627.27%17476.47%01308255151.27%1293263849.01%556112149.60%177812861808496834412
21Spartans210000017611000000123-11100000053230.750712190097725976282980083651821423491218.33%9188.89%11308255151.27%1293263849.01%556112149.60%177812861808496834412
22Supreme1010000023-1000000000001010000023-100.000246009772597238298008365141121626400.00%80100.00%01308255151.27%1293263849.01%556112149.60%177812861808496834412
23Thugs3120000058-31010000014-32110000044020.33351015009772597928298008365113739298116212.50%11281.82%01308255151.27%1293263849.01%556112149.60%177812861808496834412
24TigersCats3110000112102110000007342010000157-230.500122133009772597938298008365112129446517529.41%19384.21%11308255151.27%1293263849.01%556112149.60%177812861808496834412
25Twins3210000013761100000031221100000106440.6671325380097725971178298008365110926348615533.33%15473.33%01308255151.27%1293263849.01%556112149.60%177812861808496834412
26Vandals22000000532110000002111100000032141.0005914009772597668298008365127929451100.00%120100.00%01308255151.27%1293263849.01%556112149.60%177812861808496834412
27Vipers211000007701010000034-11100000043120.500713200097725977182980083651902310439111.11%5180.00%01308255151.27%1293263849.01%556112149.60%177812861808496834412
28Warriors32100000862211000003301100000053240.66781523019772597103829800836515427446911218.18%22386.36%01308255151.27%1293263849.01%556112149.60%177812861808496834412
29Wolves211000008621010000023-11100000063320.500815230097725977582980083651682313411218.33%30100.00%01308255151.27%1293263849.01%556112149.60%177812861808496834412
30Xpress31101000131121010000045-12100100096340.667132437009772597135829800836519934347119210.53%15286.67%01308255151.27%1293263849.01%556112149.60%177812861808496834412
Total733031052232352305371615031111201200361416021121151105790.541235436671139772597250382980083651249873983517843525014.20%3686881.52%61308255151.27%1293263849.01%556112149.60%177812861808496834412
_Since Last GM Reset733031052232352305371615031111201200361416021121151105790.541235436671139772597250382980083651249873983517843525014.20%3686881.52%61308255151.27%1293263849.01%556112149.60%177812861808496834412
_Vs Conference30141400011949311586000014446-215680001050473310.5179417526900977259710068298008365111022973507241382014.49%1532683.01%21308255151.27%1293263849.01%556112149.60%177812861808496834412
_Vs Division147600001414018520000128244624000001316-3150.53641781190097725974728298008365149413015032765913.85%661084.85%21308255151.27%1293263849.01%556112149.60%177812861808496834412

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7379W123543667125032498739835178413
All Games
GPWLOTWOTL SOWSOLGFGA
7330315223235230
Home Games
GPWLOTWOTL SOWSOLGFGA
3716153111120120
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3614162112115110
Last 10 Games
WLOTWOTL SOWSOL
440110
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3525014.20%3686881.52%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
829800836519772597
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1308255151.27%1293263849.01%556112149.60%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
177812861808496834412


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
113Bandits4Snowbirds3LBox score
226Snowbirds7Twins2WBox score
445Warriors3Snowbirds2LBox score
667Marlies3Snowbirds4WBox score
891Snowbirds1Hunters2LBox score
998Grizzlies2Snowbirds7WBox score
10114Snowbirds0Marmots2LBox score
11130CoolFm0Snowbirds2WBox score
12144Snowbirds2TigersCats3LXXBox score
14160Scorpions4Snowbirds6WBox score
15176Snowbirds3Rockets4LXXBox score
16184Snowbirds3Twins4LBox score
17196Snowbirds6Xpress4WBox score
18210Goons2Snowbirds3WXBox score
19231Vipers4Snowbirds3LBox score
21250Snowbirds5Husky2WBox score
22262Barracudas6Snowbirds1LBox score
23280Raptors2Snowbirds5WBox score
24289Snowbirds3Outlaws4LBox score
26308Snowbirds2Bandits4LBox score
27321Snowbirds2Husky1WBox score
28334Hunters4Snowbirds2LBox score
29350Snowbirds5Spartans3WBox score
30363Chiwawa2Snowbirds3WBox score
31382Farmers2Snowbirds3WBox score
33399Snowbirds3Predateurs2WXXBox score
34406Snowbirds2Supreme3LBox score
35419Scorpions6Snowbirds4LBox score
36440Rockets7Snowbirds3LBox score
37456Snowbirds0Sags3LBox score
39476Sags2Snowbirds3WBox score
41497Snowbirds2Goons3LBox score
42507Snowbirds3TigersCats4LBox score
43521Bandits5Snowbirds1LBox score
44542Spartans3Snowbirds2LXXBox score
45563Snowbirds2Thugs1WBox score
46572Predateurs3Snowbirds4WBox score
47587Snowbirds4Vipers3WBox score
48602Marmots0Snowbirds3WBox score
49620Snowbirds4Bayou6LBox score
50628Snowbirds1Igloos3LBox score
51642Grizzlies6Snowbirds2LBox score
53664Smirnoff Ice4Snowbirds5WXBox score
54679Snowbirds3Hunters2WBox score
55696Marlies3Snowbirds5WBox score
57714Snowbirds6Wolves3WBox score
58729Smirnoff Ice3Snowbirds4WXBox score
59743Snowbirds4Smirnoff Ice5LBox score
60759Snowbirds2Thugs3LBox score
61772Xpress5Snowbirds4LBox score
63792Twins1Snowbirds3WBox score
64805Snowbirds2Grizzlies4LBox score
65821Warriors0Snowbirds1WBox score
67843Thugs4Snowbirds1LBox score
68856Snowbirds3Vandals2WBox score
69873Husky3Snowbirds1LBox score
71892Snowbirds3Xpress2WXBox score
72906Chiwawa1Snowbirds4WBox score
73916Snowbirds4Smirnoff Ice3WXBox score
75935Snowbirds4Marlies5LXBox score
76945Bayou4Snowbirds1LBox score
77965TigersCats3Snowbirds7WBox score
78979Snowbirds3Marmots1WBox score
80998Vandals1Snowbirds2WBox score
821022Snowbirds5Farmers2WBox score
831031Snowbirds2Chiwawa3LBox score
841044CoolFm6Snowbirds5LXBox score
851061Igloos5Snowbirds6WXXBox score
881088Igloos4Snowbirds3LBox score
891103Snowbirds5Warriors3WBox score
901117Wolves3Snowbirds2LBox score
911127Snowbirds4Barracudas5LBox score
921137Snowbirds5Farmers4WBox score
Trade Deadline --- Trades can’t be done after this day is simulated!
941155Outlaws-Snowbirds-
951160Snowbirds-Rockets-
971184Supreme-Snowbirds-
981194Snowbirds-Twins-
991202Snowbirds-Raptors-
1011220Snowbirds-Scorpions-
1021222Vipers-Snowbirds-
1061249Goons-Snowbirds-
1071261Snowbirds-CoolFm-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price3515
Attendance110,87473,825
Attendance PCT99.89%99.76%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 4992 - 99.84% 161,772$5,985,558$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,018,782$ 1,342,500$ 1,342,500$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,163,963$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
647,087$ 16 21,690$ 347,040$




Snowbirds 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

Snowbirds Goalies Stat Leaders (Regular Season)

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

Snowbirds 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

Snowbirds 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

Snowbirds Goalies Stat Leaders (Play-Off)

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





Website created by the SimonT Hockey Simulator (STHS) for Michael Langlois - Version Française du Site Web - The database was created : 16/07/2026 14:31:47