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

Snowbirds
GP: 42 | W: 19 | L: 20 | OTL: 3 | P: 41
GF: 126 | GA: 133 | PP%: 11.39% | PK%: 78.33%
GM : Matthew Gagne | Morale : 90 | Team Overall : 58
Next Games #664 vs Smirnoff Ice

Game Center
Snowbirds
19-20-3, 41pts
1
3 Igloos
23-15-3, 49pts
Team Stats
L3StreakW2
11-9-1Home Record14-6-1
8-11-2Home Record9-9-2
4-5-1Last 10 Games6-2-2
3.00Goals Per Game3.76
3.17Goals Against Per Game3.12
11.39%Power Play Percentage18.75%
78.33%Penalty Kill Percentage83.84%
Grizzlies
25-14-4, 54pts
6
2 Snowbirds
19-20-3, 41pts
Team Stats
W1StreakL3
12-6-2Home Record11-9-1
13-8-2Home Record8-11-2
5-4-1Last 10 Games4-5-1
3.79Goals Per Game3.00
3.21Goals Against Per Game3.17
19.38%Power Play Percentage11.39%
83.19%Penalty Kill Percentage78.33%
Smirnoff Ice
18-21-3, 39pts
Day 53
Snowbirds
19-20-3, 41pts
Team Stats
W3StreakL3
7-12-1Home Record11-9-1
11-9-2Away Record8-11-2
6-4-0Last 10 Games4-5-1
2.05Goals Per Game3.00
2.83Goals Against Per Game3.00
12.22%Power Play Percentage11.39%
83.46%Penalty Kill Percentage78.33%
Snowbirds
19-20-3, 41pts
Day 54
Hunters
22-17-4, 48pts
Team Stats
L3StreakL2
11-9-1Home Record11-6-3
8-11-2Away Record11-11-1
4-5-1Last 10 Games4-6-0
3.00Goals Per Game3.47
3.17Goals Against Per Game3.47
11.39%Power Play Percentage14.90%
78.33%Penalty Kill Percentage86.21%
Marlies
19-19-4, 42pts
Day 55
Snowbirds
19-20-3, 41pts
Team Stats
L1StreakL3
9-8-3Home Record11-9-1
10-11-1Away Record8-11-2
7-3-0Last 10 Games4-5-1
3.19Goals Per Game3.00
3.48Goals Against Per Game3.00
16.16%Power Play Percentage11.39%
81.96%Penalty Kill Percentage78.33%
Team Leaders
Oliver KylingtonGoals
Oliver Kylington
4
Oliver KylingtonAssists
Oliver Kylington
5
Oliver KylingtonPoints
Oliver Kylington
9
Jeremy DaviesPlus/Minus
Jeremy Davies
5
Connor IngramWins
Connor Ingram
5
Nico DawsSave Percentage
Nico Daws
0.915

Team Stats
Goals For
126
3.00 GFG
Shots For
1341
31.93 Avg
Power Play Percentage
11.4%
23 GF
Offensive Zone Start
39.7%
Goals Against
133
3.17 GAA
Shots Against
1429
34.02 Avg
Penalty Kill Percentage
78.3%%
44 GA
Defensive Zone Start
42.4%
Team Info

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


Arena Info

Capacity5,000
Attendance4,988
Season Tickets2,000


Roster Info

Pro Team13
Farm Team19
Contract Limit32 / 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$
2Filip Hallander (R)X100.00504595776050404530405055508269090520251775,000$
3Oliver KylingtonX100.00504584835151405630565669678775090610281775,000$
4Jeremy DaviesX100.00504595786050404530405055508673090560283775,000$
5Reilly Walsh (R)X100.00504595786050404530405055508471090560262775,000$
Scratches
1Ivan Demidov (R)X100.005045957862694049304454595079700905501951,200,000$
2Jonathan ToewsX100.005045958660504045304050555094890905403742,000,000$
3Quinn Hutson (R)X72.81504592804767404530405055508373090530235800,000$
4John St. Ivany (R)X100.00904872757068404730445085508575090650262800,000$
5Simon Nemec (R)X100.005045818056624053304659626681700905902121,200,000$
6Alec RegulaX100.00504595746050404530405055508273090550252775,000$
TEAM AVERAGE97.4556459079595640483044526054847309057
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
Scratches
1Connor Ingram100.00725675917371717273727087790906402831,600,000$
2Nico Daws (R)92.00705060897070707070707184720906202411,000,000$
TEAM AVERAGE96.007153689072717171727171867609063
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)D18459-980132628102614.29%1837720.99314183700012601100.00%100000.4800000221
2Jeremy DaviesSnowbirds (MIA)D42358528048203510218.57%2956013.35000040000121033.33%2400000.2903000243
3Quinn HutsonSnowbirds (MIA)RW1823512018191451014.29%323613.131124480001310143.24%11100000.4201000023
4John St. IvanySnowbirds (MIA)D10044-41002019166140%1419619.630001531000024000%100000.4100000110
5Alec RegulaSnowbirds (MIA)D170444401115102110%728516.800001440000130038.85%13900000.2800000112
6Ivan DemidovSnowbirds (MIA)RW11224-3005182611197.69%123121.091015450001340027.27%2200000.3402000100
7Reilly WalshSnowbirds (MIA)D18123-61202715146127.14%1630817.1400028000061080.00%500000.1900000220
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
11Beck MalenstynMiami HeatLW1000000704220%01717.9500012000040020.00%100000000000001
Team Total or Average149142741-12800183154165561348.48%101251016.855275527400031822240.92%41300000.3317000101210
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$409,028$0$0$No775,000$--------775,000$--------No--------NHL Link
Connor IngramSnowbirds (MIA)G281997-03-31CANNo196 Lbs6 ft2NoNoN/ANoNo32026-03-08FalseFalsePro & Farm1,600,000$844,444$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$409,028$0$0$No---------------------------
Ivan DemidovSnowbirds (MIA)RW192005-12-10CANYes192 Lbs6 ft1NoNoDraftNoNo52026-03-08FalseFalsePro & Farm1,200,000$633,333$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$501,389$0$0$No950,000$--------950,000$--------No--------NHL Link
Jeremy DaviesSnowbirds (MIA)D281996-12-04CANNo180 Lbs5 ft11NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$409,028$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$422,222$0$0$No800,000$--------800,000$--------No--------
Jonathan ToewsSnowbirds (MIA)C371988-04-29CANNo201 Lbs6 ft2NoNoTrade2025-07-03NoNo42026-03-08FalseFalsePro & Farm2,000,000$1,055,556$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$527,778$0$0$No---------------------------NHL Link
Oliver KylingtonSnowbirds (MIA)D281997-05-19SWENo183 Lbs6 ft0NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$409,028$0$0$No---------------------------NHL Link
Quinn Hutson (Out of Payroll)Snowbirds (MIA)RW232002-01-01USAYes170 Lbs5 ft11NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$422,222$0$0$Yes800,000$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$409,028$0$0$No775,000$--------775,000$--------No--------NHL Link
Simon NemecSnowbirds (MIA)D212004-02-15SLKYes190 Lbs6 ft1NoNoN/ANoNo22026-03-08FalseFalsePro & Farm1,200,000$633,333$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
2Oliver Kylington30122
3Reilly WalshJeremy Davies25122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
155122
245122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
155122
2Oliver Kylington45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
155122
2Oliver Kylington45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15512255122
245122Oliver Kylington45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
245122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
155122
2Oliver Kylington45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
Reilly Walsh, Jeremy Davies, Reilly WalshJeremy Davies,
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
1Bandits30300000613-72020000049-51010000024-200.0006101600523537210243343945327823130781516.67%15660.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
2Barracudas1010000016-51010000016-50000000000000.0001230052353722443343945327401324224125.00%11281.82%0713141050.57%727150648.27%31463749.29%10237361033286487242
3Bayou1010000046-2000000000001010000046-200.00048120052353723043343945327431014316116.67%7271.43%0713141050.57%727150648.27%31463749.29%10237361033286487242
4Chiwawa11000000321110000003210000000000021.0003690052353723443343945327381318293133.33%8275.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
5CoolFm11000000202110000002020000000000021.00024601523537218433439453272792225300.00%110100.00%1713141050.57%727150648.27%31463749.29%10237361033286487242
6Farmers11000000321110000003210000000000021.00036900523537224433439453273210832300.00%4175.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
7Goons20101000550100010003211010000023-120.5005914005235372644334394532750231630700.00%8275.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
8Grizzlies21100000981211000009810000000000020.5009182700523537267433439453277614304810330.00%13376.92%0713141050.57%727150648.27%31463749.29%10237361033286487242
9Hunters2020000036-31010000024-21010000012-100.00035800523537256433439453277323235210110.00%80100.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
10Husky22000000734000000000002200000073441.000711180052353727943343945327682012511000.00%6183.33%0713141050.57%727150648.27%31463749.29%10237361033286487242
11Igloos1010000013-2000000000001010000013-200.000123005235372214334394532734191921500.00%7271.43%0713141050.57%727150648.27%31463749.29%10237361033286487242
12Marlies11000000431110000004310000000000021.00048120052353724343343945327451310167114.29%5180.00%1713141050.57%727150648.27%31463749.29%10237361033286487242
13Marmots21100000321110000003031010000002-220.500358015235372624334394532744716421119.09%7271.43%0713141050.57%727150648.27%31463749.29%10237361033286487242
14Outlaws1010000034-1000000000001010000034-100.000369005235372294334394532736910274125.00%5340.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
15Predateurs21000010752110000004311000001032141.000710170052353725543343945327712626448112.50%9188.89%0713141050.57%727150648.27%31463749.29%10237361033286487242
16Raptors11000000523110000005230000000000021.00051015005235372474334394532729710252150.00%4175.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
17Rockets20100001611-51010000037-41000000134-110.250612180052353725643343945327691920551100.00%11372.73%0713141050.57%727150648.27%31463749.29%10237361033286487242
18Sags2110000035-2110000003211010000003-320.50036900523537254433439453273710835300.00%4175.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
19Scorpions211000001010021100000101000000000000020.50010182800523537277433439453277219183415213.33%9277.78%0713141050.57%727150648.27%31463749.29%10237361033286487242
20Spartans210000017611000000123-11100000053230.750712190052353726243343945327821423491218.33%9188.89%1713141050.57%727150648.27%31463749.29%10237361033286487242
21Supreme1010000023-1000000000001010000023-100.000246005235372234334394532741121626400.00%80100.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
22Thugs11000000211000000000001100000021121.00024600523537234433439453274274299111.11%2150.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
23TigersCats2010000157-2000000000002010000157-210.250591400523537252433439453277616264012216.67%10280.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
24Twins2110000010640000000000021100000106420.5001020300052353728643343945327761416658225.00%6350.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
25Vipers211000007701010000034-11100000043120.500713200052353727143343945327902310439111.11%5180.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
26Warriors1010000023-11010000023-10000000000000.000246005235372304334394532716718324125.00%9188.89%0713141050.57%727150648.27%31463749.29%10237361033286487242
27Xpress11000000642000000000001100000064221.000610160052353724143343945327405615700.00%20100.00%0713141050.57%727150648.27%31463749.29%10237361033286487242
Total42172001013126133-721109010016670-421711000126063-3410.48812623235802523537213414334394532714293934539962022311.39%2034478.33%3713141050.57%727150648.27%31463749.29%10237361033286487242
_Since Last GM Reset42172001013126133-721109010016670-421711000126063-3410.48812623235802523537213414334394532714293934539962022311.39%2034478.33%3713141050.57%727150648.27%31463749.29%10237361033286487242
_Vs Conference19980001164631953000013132-110450001033312210.5536411918300523537262643343945327697177197459871314.94%872077.01%1713141050.57%727150648.27%31463749.29%10237361033286487242
_Vs Division10630000132293641000012319442200000910-1130.65032609200523537233143343945327341829722748612.50%44881.82%1713141050.57%727150648.27%31463749.29%10237361033286487242

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4241L31262323581341142939345399602
All Games
GPWLOTWOTL SOWSOLGFGA
4217201013126133
Home Games
GPWLOTWOTL SOWSOLGFGA
2110910016670
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2171100126063
Last 10 Games
WLOTWOTL SOWSOL
450001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2022311.39%2034478.33%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
433439453275235372
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
713141050.57%727150648.27%31463749.29%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10237361033286487242


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 Ice-Snowbirds-
54679Snowbirds-Hunters-
55696Marlies-Snowbirds-
57714Snowbirds-Wolves-
58729Smirnoff Ice-Snowbirds-
59743Snowbirds-Smirnoff Ice-
60759Snowbirds-Thugs-
61772Xpress-Snowbirds-
63792Twins-Snowbirds-
64805Snowbirds-Grizzlies-
65821Warriors-Snowbirds-
67843Thugs-Snowbirds-
68856Snowbirds-Vandals-
69873Husky-Snowbirds-
71892Snowbirds-Xpress-
72906Chiwawa-Snowbirds-
73916Snowbirds-Smirnoff Ice-
75935Snowbirds-Marlies-
76945Bayou-Snowbirds-
77965TigersCats-Snowbirds-
78979Snowbirds-Marmots-
80998Vandals-Snowbirds-
821022Snowbirds-Farmers-
831031Snowbirds-Chiwawa-
841044CoolFm-Snowbirds-
851061Igloos-Snowbirds-
881088Igloos-Snowbirds-
891103Snowbirds-Warriors-
901117Wolves-Snowbirds-
911127Snowbirds-Barracudas-
921137Snowbirds-Farmers-
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
Attendance62,88441,857
Attendance PCT99.82%99.66%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
20 4988 - 99.75% 161,645$3,394,554$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,157,922$ 1,262,500$ 1,262,500$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 685,686$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,232,909$ 57 20,949$ 1,194,093$




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