Login


Game Center
Sagueneens
22-38-4, 48pts
1
FINAL
2 Mighty Ducks
27-31-6, 60pts
Team Stats
OTW1StreakL1
12-19-1Home Record15-13-4
10-19-3Away Record12-18-2
5-5-0Last 10 Games1-8-1
2.36Goals Per Game3.08
3.17Goals Against Per Game3.42
12.50%Power Play Percentage13.99%
89.34%Penalty Kill Percentage80.77%
IceHawks
18-42-8, 44pts
3
FINAL
4 Sagueneens
22-38-4, 48pts
Team Stats
L2StreakOTW1
9-18-5Home Record12-19-1
9-24-3Away Record10-19-3
2-7-1Last 10 Games5-5-0
2.03Goals Per Game2.36
3.26Goals Against Per Game3.17
12.69%Power Play Percentage12.50%
85.77%Penalty Kill Percentage89.34%
Roadrunners
33-27-5, 71pts
Day 140
Sagueneens
22-38-4, 48pts
Team Stats
L1StreakOTW1
19-10-3Home Record12-19-1
14-17-2Away Record10-19-3
3-4-3Last 10 Games5-5-0
3.09Goals Per Game2.36
3.08Goals Against Per Game3.17
17.05%Power Play Percentage12.50%
82.08%Penalty Kill Percentage89.34%
Sagueneens
22-38-4, 48pts
Day 142
Oceanic
23-32-10, 56pts
Team Stats
OTW1StreakL5
12-19-1Home Record13-15-4
10-19-3Away Record10-17-6
5-5-0Last 10 Games2-6-2
2.36Goals Per Game2.80
3.17Goals Against Per Game3.45
12.50%Power Play Percentage13.58%
89.34%Penalty Kill Percentage79.91%
Pantheres
35-20-7, 77pts
Day 144
Sagueneens
22-38-4, 48pts
Team Stats
L1StreakOTW1
19-11-3Home Record12-19-1
16-9-4Away Record10-19-3
6-2-2Last 10 Games5-5-0
3.90Goals Per Game2.36
3.66Goals Against Per Game3.17
17.79%Power Play Percentage12.50%
82.92%Penalty Kill Percentage89.34%
Team Leaders
Aidan McDonoughGoals
Aidan McDonough
32
Nikolai KovalenkoAssists
Nikolai Kovalenko
44
Nikolai KovalenkoPoints
Nikolai Kovalenko
64
Mark PysykPlus/Minus
Mark Pysyk
0
Matt TomkinsWins
Matt Tomkins
21
Kevin MandoleseSave Percentage
Kevin Mandolese
1

Team Stats
Goals For
151
2.36 GFG
Shots For
1343
20.98 Avg
Power Play Percentage
12.5%
29 GF
Offensive Zone Start
36.3%
Goals Against
203
3.17 GAA
Shots Against
1848
28.88 Avg
Penalty Kill Percentage
89.3%
29 GA
Defensive Zone Start
43.5%
Team Info
General ManagerNicolas Gagnon
CoachLane Lambert
DivisionNorth
ConferenceEastern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team23
Farm Team18
Contract Limit41 / 50
Prospects71
Team History
This Season22-38-4 (48PTS)
History407-326-74 (0.504%)
Playoff Appearances5
Playoff Record (W-L)24-23
Stanley Cup0


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
1Nikolai Kovalenko (R)X100.007541848347758259405960684074756522640261575,000$
2Kyle MacLeanX100.0071488776607198518347546140747365416102611,000,000$
3Aidan McDonoughX100.005951718266605066405170624074676520610261700,000$
4Landon SlaggertX100.005849767851756652405055714068728020590232925,000$
5Brendan GaunceX100.007556837577715148834750574084784021580313750,000$
6Dominic ToninatoX100.008151637658695950704555504084774018570311900,000$
7Arshdeep BainsX100.007144907653725248404056604070717520560241850,000$
8Tristen NielsenX100.004847737553766642403648508072747021530253750,000$
9Danil ZhilkinX100.007050857565625233703135504066648517490222925,000$
10Tyler KlevenX100.007161837582749751404656714068718038670232925,000$
11Vsevolod Komarov (R)X100.007864657973736836403934676564699021620213925,000$
12Cole McWardX100.005347857559716643404441704070717520600241850,000$
13Jeremie PoirierX100.004948727658757051406339518068728019580231925,000$
14Jake Furlong (R)X100.006648858461706530402932504064679020560213925,000$
15Rodwin Dionicio (R)X100.006864558463555045403456544064609018550213925,000$
Scratches
1Riley DuranX100.005547867564695936402546694068698020530232925,000$
2Carter SavoieX100.004743837550605039403643684068648020520231925,000$
3Adam GinningX100.005953697572736836403834584072737019580251850,000$
4Mark PysykX100.0054498275665550294029305340887230195403311,000,000$
TEAM AVERAGE 100.00645178776269644448424760467270712258
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
1Matt Tomkins100.00755060935659555354534084724022620311900,000$
2Brandon Bussi100.008060639754555053555140766660456102722,000,000$
3Kevin Mandolese100.00755060925060505050504072667026590251950,000$
Scratches
1Mack Guzda100.00755060985050505050504070607520580241750,000$
TEAM AVERAGE100.0076536195535651525251407666612860
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Lane Lambert55645041968548CAN6131,500,000$


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
1Nikolai KovalenkoSagueneens (Bos)RW62204464-9600134199220491389.09%20144423.2921012341690000273236.75%16600010.89150006510
2Aidan McDonoughSagueneens (Bos)LW63322254-16280741402136615815.02%12127620.2657124517700052223252.07%12100010.85250005111
3Kyle MacLeanSagueneens (Bos)C42102131-51804415368194214.71%1599723.75134711600001241162.10%115300010.6200000222
4Landon SlaggertSagueneens (Bos)LW63171431-146029156151559711.26%20118918.881342111500051212138.97%19500000.5200000322
5Cole McWardSagueneens (Bos)D6391322-17200718751235417.65%78127620.27549281690000208200.00%200000.3400000522
6Jeremie PoirierSagueneens (Bos)D6431821-1940081572892310.71%36121719.033581314101101661014.29%700000.3400000002
7Tyler KlevenSagueneens (Bos)D4121921-1120049595020314.00%5795223.22123271240000142010.00%000000.4400000013
8Vsevolod KomarovSagueneens (Bos)D6361521-13110102626447143112.77%79140222.26538271880001185000.00%000000.3000101333
9Dominic ToninatoSagueneens (Bos)RW6361319-25855190688424787.14%3130720.76123141650001332164.77%8800000.2900000223
10Rodwin DionicioSagueneens (Bos)D6331316-14455148303110189.68%2770111.14011216000127100.00%100000.4600010021
11Arshdeep BainsSagueneens (Bos)LW36369-1216036436123494.92%357515.990008380002460138.57%7000000.3100000011
12Jake FurlongSagueneens (Bos)D63268-223205825156713.33%34101916.180001420000870025.00%3200000.1600000000
13Brendan GaunceSagueneens (Bos)C20257-121803154328246.25%545622.831014580000520068.18%48400000.3100000100
14Danil ZhilkinSagueneens (Bos)C53066-2510025116162180.00%4107720.32011210400011080057.75%112900000.1100000000
15Tristen NielsenSagueneens (Bos)LW20213-6403984525.00%11989.9500005000020040.63%3200000.3000000000
16Adam GinningSagueneens (Bos)D21033-112404899370.00%2040619.37011552000056000.00%000000.1500000000
17Carter SavoieSagueneens (Bos)RW3011000013010.00%03612.270000000000000.00%000000.5400000000
18Mark PysykSagueneens (Bos)D1000000000000.00%066.100000000000000.00%000000.0000000000
Team Total or Average804117220337-2315362012831270108733578110.76%4141554319.33254267238168801116161215957.59%348000030.43310111273130
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
1Matt TomkinsSagueneens (Bos)61213640.8933.0436552418517290420.769136101031
2Kevin MandoleseSagueneens (Bos)10001.0000.002000080000.0000050000
3Brandon BussiSagueneens (Bos)10000.8468.0015002130000.0000011000
Team Total or Average63213640.8933.0436912418717500420.7691361611031


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 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Adam GinningSagueneens (Bos)D252000-01-13No205 Lbs6 ft4NoNoNo1Pro & Farm850,000$0$0$No
RFA
Link / NHL Link
Aidan McDonoughSagueneens (Bos)LW261999-11-06No201 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
RFA
Link / NHL Link
Arshdeep BainsSagueneens (Bos)LW242001-01-09No184 Lbs6 ft0NoNoNo1Pro & Farm850,000$0$0$No
RFA
Link / NHL Link
Brandon BussiSagueneens (Bos)G271998-06-25No218 Lbs6 ft4NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Link / NHL Link
Brendan GaunceSagueneens (Bos)C311994-03-25No219 Lbs6 ft3NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
UFA
Link / NHL Link
Carter SavoieSagueneens (Bos)RW232002-01-23No185 Lbs5 ft10NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Cole McWardSagueneens (Bos)D242001-06-09No192 Lbs6 ft1NoNoNo1Pro & Farm850,000$0$0$No
RFA
Link / NHL Link
Danil ZhilkinSagueneens (Bos)C222003-12-19No196 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Dominic ToninatoSagueneens (Bos)RW311994-03-09No190 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
UFA
Link / NHL Link
Jake FurlongSagueneens (Bos)D212004-03-04Yes195 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Jeremie PoirierSagueneens (Bos)D232002-06-02No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Kevin MandoleseSagueneens (Bos)G252000-08-22No197 Lbs6 ft4NoNoNo1Pro & Farm950,000$0$0$No
RFA
Link / NHL Link
Kyle MacLeanSagueneens (Bos)C261999-04-29No194 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$No
RFA
Link / NHL Link
Landon SlaggertSagueneens (Bos)LW232002-06-25No180 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Mack GuzdaSagueneens (Bos)G242001-01-11No215 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
Mark PysykSagueneens (Bos)D331992-01-11No205 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$No
UFA
Link / NHL Link
Matt TomkinsSagueneens (Bos)G311994-06-19No206 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$No
UFA
Link / NHL Link
Nikolai KovalenkoSagueneens (Bos)RW261999-10-17Yes180 Lbs5 ft10NoNoNo1Pro & Farm575,000$0$0$No
RFA
Link / NHL Link
Riley DuranSagueneens (Bos)LW232002-01-25No198 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Rodwin DionicioSagueneens (Bos)D212004-03-30Yes196 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Tristen NielsenSagueneens (Bos)LW252000-02-23No192 Lbs5 ft10NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
UFA
Link / NHL Link
Tyler KlevenSagueneens (Bos)D232002-01-10No221 Lbs6 ft5NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Vsevolod KomarovSagueneens (Bos)D212004-01-11Yes208 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2325.13199 Lbs6 ft21.65919,565$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Aidan McDonoughKyle MacLeanNikolai Kovalenko40122
2Landon SlaggertBrendan GaunceDominic Toninato30122
3Arshdeep BainsDanil ZhilkinNikolai Kovalenko20122
4Tristen NielsenAidan McDonoughKyle MacLean10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyler KlevenVsevolod Komarov40122
2Cole McWardJeremie Poirier30122
3Jake FurlongRodwin Dionicio20122
4Tyler KlevenVsevolod Komarov10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Aidan McDonoughKyle MacLeanNikolai Kovalenko60122
2Landon SlaggertBrendan GaunceDominic Toninato40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyler KlevenVsevolod Komarov60122
2Cole McWardJeremie Poirier40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nikolai KovalenkoAidan McDonough60122
2Kyle MacLeanLandon Slaggert40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyler KlevenVsevolod Komarov60122
2Cole McWardJeremie Poirier40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nikolai Kovalenko60122Tyler KlevenVsevolod Komarov60122
2Aidan McDonough40122Cole McWardJeremie Poirier40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nikolai KovalenkoAidan McDonough60122
2Kyle MacLeanLandon Slaggert40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyler KlevenVsevolod Komarov60122
2Cole McWardJeremie Poirier40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Aidan McDonoughKyle MacLeanNikolai KovalenkoTyler KlevenVsevolod Komarov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Aidan McDonoughKyle MacLeanNikolai KovalenkoTyler KlevenVsevolod Komarov
Extra Forwards
Normal PowerPlayPenalty Kill
Arshdeep Bains, Tristen Nielsen, Danil ZhilkinArshdeep Bains, Tristen NielsenDanil Zhilkin
Extra Defensemen
Normal PowerPlayPenalty Kill
Jake Furlong, Rodwin Dionicio, Cole McWardJake FurlongRodwin Dionicio, Cole McWard
Penalty Shots
Nikolai Kovalenko, Aidan McDonough, Kyle MacLean, Landon Slaggert, Brendan Gaunce
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
1Bandits1010000037-41010000037-40000000000000.00036900455940820409448471273361218400.00%6266.67%0919167654.83%1115200855.53%53793357.56%149210241583469809399
2BaronsOKC1010000035-21010000035-20000000000000.00036900455940816409448471274310821100.00%4175.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
3BigBadStars2020000038-51010000013-21010000025-300.0003690045594085040944847127722224487114.29%11190.91%0919167654.83%1115200855.53%53793357.56%149210241583469809399
4Checkers321000001174211000006421100000053240.66711203100455940878409448471276812286117211.76%12191.67%0919167654.83%1115200855.53%53793357.56%149210241583469809399
5Cyclones1010000013-2000000000001010000013-200.0001230045594081540944847127237628500.00%20100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
6Darkness5210002010913010002057-22200000052380.800101525004559408113409448471278129521101300.00%25388.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
7Draveurs1010000024-2000000000001010000024-200.000246004559408234094484712743174304125.00%2150.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
8Eagles2010000146-21010000012-11000000134-110.2504711004559408364094484712750221648100.00%80100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
9EvilSharks413000001319-6312000001012-21010000037-420.2501325380045594081064094484712713530548623521.74%21480.95%0919167654.83%1115200855.53%53793357.56%149210241583469809399
10Griffins1010000015-4000000000001010000015-400.00011200455940821409448471272291621500.00%7357.14%0919167654.83%1115200855.53%53793357.56%149210241583469809399
11HC1010000023-1000000000001010000023-100.000235004559408174094484712745710312150.00%5180.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
12IceBears1010000045-11010000045-10000000000000.000459004559408374094484712740119323133.33%20100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
13IceHawks74101100171073110100096343000100844110.7861729460345594081134094484712713038601692015.00%290100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
14IceHogs623001001318-53210000087130200100511-650.41713213410455940814040944847127237715816222313.64%28389.29%0919167654.83%1115200855.53%53793357.56%149210241583469809399
15Iceberg11000000642000000000001100000064221.00069150045594082040944847127368141911100.00%60100.00%1919167654.83%1115200855.53%53793357.56%149210241583469809399
16Magics402010101011-1301010108801010000023-140.50010172710455940892409448471277416227619421.05%70100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
17Mighty Ducks1010000012-1000000000001010000012-100.00012300455940815409448471273998246116.67%40100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
18National1000000112-11000000112-10000000000010.5001230045594082040944847127193619200.00%30100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
19Oceanic20200000610-41010000035-21010000035-200.0006111700455940841409448471278520124412325.00%60100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
20Pantheres10001000211000000000001000100021121.0002350045594083040944847127332219800.00%110.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
21Remparts21100000981211000009810000000000020.500917260045594084540944847127812320518112.50%10280.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
22Senators20200000211-91010000024-21010000007-700.000235004559408284094484712755152951400.00%11281.82%0919167654.83%1115200855.53%53793357.56%149210241583469809399
23SilverKnights1010000023-1000000000001010000023-100.00023500455940811409448471273491235300.00%6183.33%0919167654.83%1115200855.53%53793357.56%149210241583469809399
24Spiders1010000056-11010000056-10000000000000.0005914004559408274094484712740718246116.67%9188.89%0919167654.83%1115200855.53%53793357.56%149210241583469809399
25Thunder42200000911-21100000010131200000811-340.50091625014559408704094484712712440498918211.11%170100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
26Vikings20101000220000000000002010100022020.500235004559408434094484712750142238600.00%100100.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
27Wolves60600000923-1430300000511-630300000412-800.000915240045594081164094484712715630421191218.33%20290.00%0919167654.83%1115200855.53%53793357.56%149210241583469809399
Total64153804232151203-52327190203184102-18328190220167101-34480.375151260411244559408134340944847127184848761314732322912.50%2722989.34%1919167654.83%1115200855.53%53793357.56%149210241583469809399
_Since Last GM Reset64153804232151203-52327190203184102-18328190220167101-34480.375151260411244559408134340944847127184848761314732322912.50%2722989.34%1919167654.83%1115200855.53%53793357.56%149210241583469809399
_Vs Conference46112603231101144-4324513020315871-1322613012004373-30370.40210117327424455940896740944847127126333244410371712112.28%1952089.74%0919167654.83%1115200855.53%53793357.56%149210241583469809399
_Vs Division15917022103654-18858020102023-3749002001631-15260.86736639910455940831940944847127397111127331621016.13%53786.79%0919167654.83%1115200855.53%53793357.56%149210241583469809399

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
6448OTW115126041113431848487613147324
All Games
GPWLOTWOTL SOWSOLGFGA
6415384232151203
Home Games
GPWLOTWOTL SOWSOLGFGA
32719203184102
Visitor Games
GPWLOTWOTL SOWSOLGFGA
32819220167101
Last 10 Games
WLOTWOTL SOWSOL
252010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2322912.50%2722989.34%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
409448471274559408
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
919167654.83%1115200855.53%53793357.56%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
149210241583469809399


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
18EvilSharks7Sagueneens4BLBoxScore
421Sagueneens3IceHawks2AWBoxScore
638Sagueneens3Darkness1AWBoxScore
854IceHogs3Sagueneens5BWBoxScore
1066Sagueneens1Thunder3ALBoxScore
1277Thunder0Sagueneens1BWBoxScore
16102IceHawks0Sagueneens3BWBoxScore
18116Sagueneens3EvilSharks7ALBoxScore
20131Sagueneens2IceHogs4ALBoxScore
21142Sagueneens2IceHawks0AWBoxScore
23153EvilSharks1Sagueneens3BWBoxScore
27175Wolves4Sagueneens1BLBoxScore
30199Magics3Sagueneens4BWXBoxScore
33219Darkness1Sagueneens2BWXXBoxScore
35236Sagueneens2Wolves3ALBoxScore
37249Wolves3Sagueneens2BLBoxScore
39263Sagueneens2Thunder4ALBoxScore
41280Sagueneens3Oceanic5ALBoxScore
43294Oceanic5Sagueneens3BLBoxScore
45309Sagueneens6Iceberg4AWBoxScore
47321Sagueneens2Darkness1AWBoxScore
48332BaronsOKC5Sagueneens3BLBoxScore
51350IceHogs3Sagueneens1BLBoxScore
53369Sagueneens3Eagles4ALXXBoxScore
55382IceHogs1Sagueneens2BWBoxScore
57397Sagueneens2Wolves5ALBoxScore
59414Sagueneens2BigBadStars5ALBoxScore
61423IceBears5Sagueneens4BLBoxScore
63441Sagueneens1Griffins5ALBoxScore
64452Darkness2Sagueneens3BWXXBoxScore
67473Sagueneens5Checkers3AWBoxScore
69485National2Sagueneens1BLXXBoxScore
71507Senators4Sagueneens2BLBoxScore
73521Sagueneens2Vikings1AWXBoxScore
74524Sagueneens2Magics3ALBoxScore
76544Sagueneens2IceHogs3ALXBoxScore
78555Checkers3Sagueneens2BLBoxScore
80575Eagles2Sagueneens1BLBoxScore
84601Sagueneens1Cyclones3ALBoxScore
85609Wolves4Sagueneens2BLBoxScore
88631Darkness4Sagueneens0BLBoxScore
90650Sagueneens2HC3ALBoxScore
92659Sagueneens2SilverKnights3ALBoxScore
93669Remparts4Sagueneens6BWBoxScore
97694EvilSharks4Sagueneens3BLBoxScore
99709Sagueneens1IceHawks2ALXBoxScore
101720Sagueneens5Thunder4AWBoxScore
103734IceHawks3Sagueneens2BLBoxScore
106754Spiders6Sagueneens5BLBoxScore
108770Sagueneens1IceHogs4ALBoxScore
110784BigBadStars3Sagueneens1BLBoxScore
112803Sagueneens2Draveurs4ALBoxScore
114818Magics3Sagueneens1BLBoxScore
116828Sagueneens0Senators7ALBoxScore
119848Magics2Sagueneens3BWXXBoxScore
121865Sagueneens2IceHawks0AWBoxScore
124881Checkers1Sagueneens4BWBoxScore
125896Sagueneens0Wolves4ALBoxScore
128912Remparts4Sagueneens3BLBoxScore
130932Sagueneens2Pantheres1AWXBoxScore
131940Sagueneens0Vikings1ALBoxScore
132951Bandits7Sagueneens3BLBoxScore
135973Sagueneens1Mighty Ducks2ALBoxScore
136981IceHawks3Sagueneens4BWXBoxScore
1401008Roadrunners-Sagueneens-
1421021Sagueneens-Oceanic-
1441036Pantheres-Sagueneens-
1461052Sagueneens-National-
1471064Sagueneens-EvilSharks-
1491075Nordiques-Sagueneens-
1521098Roadrunners-Sagueneens-
1531103Sagueneens-Spiders-
1561126Griffins-Sagueneens-
1571135Sagueneens-National-
1591145Sagueneens-Darkness-
1611162Sagueneens-EvilSharks-
1621172WolfPack-Sagueneens-
1671200EvilSharks-Sagueneens-
Trade Deadline --- Trades can’t be done after this day is simulated!
1711220Thunder-Sagueneens-
1731235Sagueneens-Magics-
1761254Thunder-Sagueneens-
1791268Sagueneens-Magics-



Sagueneens 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
1Benjamin Simon1418234367601-24916151902210623859.81%8852316416.3466102168307671368302048.81%40.52724
2Robert Nilsson18491104195-138724633274012.30%122390221.21212849944482013450.00%41.00421
3Tomas Nosek289809517546397856153814.87%51471316.31112435853031214351.67%30.74311
4Warren Foegele29883761592615439045658614.16%64405313.607916402131116944.69%10.78311
5Jozef Stumpel1236094154-1117221741752611.41%101303224.6617314876112125759.47%01.02414

Sagueneens Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alexander Salak1558162120.8972.479346201638537460330.84477
2Kevin Poulin1657473130.8962.329689141737536060730.75064
3Antti Raanta93582750.9102.14548661119621860110.83318
4Kevin Mandolese1125638120.8843.0163658131927420700.74439
5Marty Turco96504050.9012.13575025132042066341310.87355

Sagueneens 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
Regular Season
203082263905336235261-2641131903123107122-1541132002213128139-117723541865312086707120120644650690212463097319513766818.09%4007681.00%71218243849.96%1055232745.34%579128345.13%1980137519665931028511
203182304002226205246-4141171900104100118-1841132102122105128-237620537057504075636318640603606646191353282319093675615.26%3516282.34%3966228242.33%1066237544.88%500117242.66%1897129720416241028502
203282333903241227222541162001220114117-34117190202111310588322742064715086775720580644649745201356688321133514813.68%3915885.17%51127244546.09%1144243147.06%592125647.13%1940133219955991021509
2033823528042942442083641171404132118942441181400162126114121022444226661110100666519460642633649197658695519363496418.34%3987381.66%81364234058.29%1351236657.10%717124857.45%2118149218575761024535
20348234290536527126654117150222313613514117140314213513149827149876923085977825780838846860253470467919483435516.03%3095382.85%21342272349.28%1313266549.27%571123446.27%197114052039576986489
20358245240733024718166412212032201188434412312041101299732113247431678111077728820100662647681198154086019163424513.16%3634288.43%51399246756.71%1381241157.28%686123255.68%2099147118355711019529
2036803924035452812552640211402012147131164018100153313412410102281496777010102908220630667644718208862193020333566217.42%3876383.72%11238234552.79%1246222156.10%698127854.62%204714511837559975505
203782402903442254216384120170021112712074120120323112796311002544396932692767911213571069570651204963984719353585013.97%3535584.42%21317244653.84%1257236253.22%678124854.33%2112149718395721011527
203878283605432217225-839141902301103110-739141703131114115-1782173735901489625810187363660062230198754390618623185617.61%3906583.33%21322224658.86%1283215859.45%727117361.98%201114171746548968504
203964153804232151203-52327190203184102-18328190220167101-3448151260411244559408134340944847127184848761314732322912.50%2722989.34%1919167654.83%1115200855.53%53793357.56%149210241583469809399
Total Regular Season7963253260413041332332228349398164168019141617115411332139816115802216251611781150288772332412764591151226808712533198821755644364745097205135848846919076339253315.71%361457684.06%36122122340852.17%122112332452.35%62851205752.13%196721376718742569098735015
Playoff
20339540000028226431000001367523000001516-110285078000108827208296762446510623538410.53%48491.67%020731066.77%18528165.84%9414266.20%2741971856111363
20349540000024222431000001486523000001014-4102443670001086233080628225267922134149.76%36391.67%013128745.64%14330347.19%8315453.90%2451682267112463
2035514000001215-330300000812-42110000043121222340103541270334642100335311320420.00%21290.48%07013452.24%6114143.26%398346.99%13898115376534
203613760000042411633000001718-1743000002523214427812000015141229509899803098919330952815.38%621379.03%221540153.62%17036047.22%12222853.51%30220434310016883
203711650000025223642000001712552300000810-2122547720110942254886675252166513229945511.11%59591.53%115834645.66%13831044.52%7516844.64%2851982838614271
Total Playoff47242300000131122923131000000695613241113000006266-4481312403710210473932118188359378305112131957611691962512.76%2262788.05%3781147852.84%697139549.96%41377553.29%12468681153355614317

Sagueneens 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
1Pavel Dorofeyev29716231001516111.48%539613.67123800003051.97%01.1600
2Eric Robinson25101121-22335708112.35%958723.502351201131141.61%00.7100
3Warren Foegele38891701419566312.70%558415.38011701111031.25%00.5800
4Connor Mackey291161714810628195.26%2266122.81077100000000.00%00.5100
5Austin Watson131051582745164422.73%326420.37101500012131.03%01.1300

Sagueneens Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alexander Salak168710.9082.21103220384140000.0000
2Kevin Mandolese137510.8683.0379200403040000.0000
3Anthony Stolarz116410.8981.8671101222160000.0000
4Kevin Poulin62310.8602.7836701171210000.0000
5Antti Raanta61310.8582.7033301151060000.0000