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Bears
GP: 80 | W: 41 | L: 33 | OTL: 6 | P: 88
GF: 355 | GA: 348 | PP%: 21.16% | PK%: 76.95%
GM : Jean-Manuel Estrada | Morale : 44 | Team Overall : 63
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Game Center
Bears
41-33-6, 88pts
6
FINAL
9 Thunderbirds
51-25-4, 106pts
Team Stats
L5StreakL1
23-15-2Home Record26-13-1
18-18-4Away Record25-12-3
4-6-0Last 10 Games9-1-0
4.44Goals Per Game4.25
4.35Goals Against Per Game3.80
21.16%Power Play Percentage20.88%
76.95%Penalty Kill Percentage78.65%
Devils
49-26-5, 103pts
7
FINAL
5 Bears
41-33-6, 88pts
Team Stats
W4StreakL5
24-13-3Home Record23-15-2
25-13-2Away Record18-18-4
9-1-0Last 10 Games4-6-0
4.73Goals Per Game4.44
4.09Goals Against Per Game4.35
21.24%Power Play Percentage21.16%
82.72%Penalty Kill Percentage76.95%
Team Leaders
Goals
Kerby Rychel
43
Assists
Kerby Rychel
57
Points
Kerby Rychel
100
Plus/Minus
Michael Prapavessis
28
Wins
Jake Allen
22
Save Percentage
Sami Aittokallio
0.879

Team Stats
Goals For
355
4.44 GFG
Shots For
2779
34.74 Avg
Power Play Percentage
21.2%
62 GF
Offensive Zone Start
36.6%
Goals Against
348
4.35 GAA
Shots Against
2697
33.71 Avg
Penalty Kill Percentage
77.0%%
56 GA
Defensive Zone Start
35.6%
Team Info

General ManagerJean-Manuel Estrada
CoachGerard Gallant
DivisionMax-Sillig
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,798
Season Tickets300


Roster Info

Pro Team41
Farm Team18
Contract Limit59 / 250
Prospects0


Filter Tips
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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")
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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
1Max FribergX100.006331807672777474757773766863583767720253900,000$
2Joshua Leivo (R)X100.006926797478767774737077616855494062700242900,000$
3Kerby Rychel (R)X100.008349707772608077687173656953504848700231900,000$
4Nicolas Aube-Kubel (R)X100.007737727173687776687376685949454758700211750,000$
5Sam CarrickX100.007537737271627871717771716562553559700253800,000$
6A.J. JenksX100.007427707269727571737174686454532751690271925,000$
7Mike HoffmanX100.007526737576727174716770607166632450690281650,000$
8Jamie McGinnX100.007932716869647169686971707558542264680291750,000$
9Austin CzarnikX100.006451767761705982626368598052523837670251995,000$
10Angelo EspositoX100.006439746562677268767267556856532064650281550,000$
11Vincent Dunn (R)X100.006438756267537267666859595944464564620223500,000$
12Colby Cave (R)X100.005025706168535858505872495647473222580232250,000$
13Joey LaleggiaX100.007041907165617071447160776465523165700251900,000$
14Derek ForbortX100.006737696868756766587058746157513164670251500,000$
15Mikko Vainonen (R)X100.006429786971696872516764705459473261670233650,000$
16Tommy Vannelli (R)X100.005931867266676569497555715351464764670222600,000$
17Gianluca Curcuruto (R)X100.007234757261686867566758685954493655660232500,000$
18Michael Prapavessis (R)X100.006333836863636764447049715247454935650211500,000$
Scratches
1Austin Wuthrich (R)X100.007525666569617276686567596149493053650242500,000$
2Cole Smith (R)X100.007146835566596078696963606248494919650222500,000$
3Brett BulmerX100.006436636867616566646970586051513018640251600,000$
4Logan O'Connor (R)X100.006737776567616072646467526847455619630211500,000$
5Nikolay Prokhorkin (R)X100.005534756057636462727861525951503319620242275,000$
6Warren Foegele (R)X100.004835936671787161616652615943435519620211500,000$
7Nicholas Caamano (R)X100.005740686058596261616657586641417020590191500,000$
8Isaac Ratcliffe (R)X100.006427734262646156525869425740408020560182500,000$
9Kirill Maksimov (R)X100.005823715070515959585163394940407220540182500,000$
10Emil Johansson (R)X100.005747766664686560536660654949444417630212500,000$
11Jacob Bryson (R)X100.005931696959556480328045604044455219620202500,000$
12Ryan Graves (R)X100.005732766563646762426647674546453819620222250,000$
13Jesper Pettersson (R)X100.005842706363666259636666505852463519610222450,000$
14Kristians Rubins (R)X100.005636736054585660256145694346466220590202500,000$
15Mackenze Stewart (R)X100.005340676057616056626267475245444320580212450,000$
16Mario Ferraro (R)X100.005428775660636256276337643941425920580192500,000$
17Will Reilly (R)X100.004031747360435764217253484344435520580202500,000$
18David Farrance (R)X100.005432695654625657346253634740406920570182500,000$
19Zack Hayes (R)X100.006131545365604748225244473440407220520182500,000$
20Jakob Stenqvist (R)X100.005425706140425958346538483441415620520191500,000$
21Arvid Henrikson (R)X100.004924595958544345265451522841415920510191500,000$
TEAM AVERAGE100.00633474656563656655676160565047453763
Filter Tips
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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
1Jake Allen100.00717375646680766671797062583064710273750,000$
2Sami Aittokallio100.00656968666373747967686751513158680251500,000$
Scratches
TEAM AVERAGE100.0068717265657775736974695755316170
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gerard Gallant65666472386557CAN22550,000$


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
1Kerby RychelBears (Was)LW744357100-2635154883037218014.19%38149620.2214923382062027872446.55%1165823121.3414001805
2Sam CarrickBears (Was)C7836579305751241822138214416.90%49163821.01714212522501121303249.56%24053731011.1312100276
3Max FribergBears (Was)RW62364884-16300521062617515713.79%37140522.67516213119400031573250.74%3394926001.2015000632
4Nicolas Aube-KubelBears (Was)RW773544795340138902466213714.23%24126616.459514231530116592349.06%1064419021.25210000462
5A.J. JenksBears (Was)LW79364076-14201451252297512615.72%30132916.835813171721011783047.69%655222021.1446000461
6Mike HoffmanBears (Was)LW782532574180119661816110413.81%24102213.1035812720003225052.50%403928001.1202000042
7Joshua LeivoBears (Was)RW7920355541209972208751239.62%12112614.2625713991233492040.00%405619000.9849000142
8Joey LaleggiaBears (Was)D7354550-161207818211758694.27%113204928.0721012132520111186010.00%03878000.4900000112
9Angelo EspositoBears (Was)C801531462240748295354715.79%19109013.6329117590001642052.69%632811000.8422000202
10Jamie McGinnBears (Was)LW80181735-91809171135567213.33%287869.840001150110531264.00%252915000.8902000122
11Austin WuthrichBears (Was)RW6718143241807636114425215.79%96029.00101280000134058.33%12227001.0600000013
12Tommy VannelliBears (Was)D8042832-1140501157529325.33%91163820.4824671780000138100.00%01951000.3900000000
13Mikko VainonenBears (Was)D8012930-234756812811849500.85%102190923.87033142340000163000.00%02573000.3101010010
14Derek ForbortBears (Was)D80101525-556012113695354310.53%98181722.71437102040002145100.00%01952000.2800000102
15Austin CzarnikBears (Was)RW31121325-100241897254212.37%935711.54213522000002062.50%16145001.4000000212
16Vincent DunnBears (Was)C8071623216052456292811.29%87068.8400000000030047.00%28348000.6500000000
17Gianluca CurcurutoBears (Was)D7548122714057554917248.16%5795612.75000015000141000.00%0929000.2500000100
18Michael PrapavessisBears (Was)D611910284018502811203.57%3274112.1600001000120100.00%0638000.2700000000
19Brett BulmerBears (Was)RW1642624078193921.05%2996.240000000000000.00%230001.2000000010
20Emil JohanssonBears (Was)D23213-200614134215.38%1726211.4300001000010000.00%003000.2300000100
21Cole SmithBears (Was)LW1021360044105220.00%1707.0400000000000050.00%401000.8500000000
22Colby CaveBears (Was)C15000-600080320.00%01278.5100002000040041.67%4821000.00%00000000
23Jesper PetterssonBears (Was)D3000100000000.00%031.190000000001000.00%000000.00%00000000
24Jacob BrysonBears (Was)D6000-100000000.00%2162.740000000000000.00%001000.00%00000000
25Nikolay ProkhorkinBears (Was)LW6000020112000.00%0172.910000000007000.00%100000.00%00000000
26Ryan GravesBears (Was)D6000000030100.00%0233.940000000000000.00%000000.00%00000000
27Warren FoegeleBears (Was)LW6000000010000.00%010.260000000001000.00%100000.00%00000000
28Logan O'ConnorBears (Was)RW7000000010000.00%030.500000000000000.00%000000.00%00000000
Team Total or Average1412334542876-847515155816872670884146512.51%8022256815.98589215021821244610311441321449.79%4135533541170.781543111343733
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
1Jake AllenBears (Was)55222050.8744.142899602001593765230.731265030202
2Sami AittokallioBears (Was)37171220.8794.06177520120993501120.800202555012
Team Total or Average92393270.8764.114674803202586126635467585214


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
A.J. JenksBears (Was)LW271990-01-01No206 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Angelo EspositoBears (Was)C281989-01-01No190 Lbs6 ft0NoNoNo1Pro & Farm550,000$0$0$No
Arvid HenriksonBears (Was)D191998-01-01Yes212 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$NoLink
Austin CzarnikBears (Was)RW251992-01-01No174 Lbs5 ft9NoNoNo1Pro & Farm995,000$0$0$NoLink
Austin WuthrichBears (Was)RW241993-01-01Yes190 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brett BulmerBears (Was)RW251992-01-01No212 Lbs6 ft4NoNoNo1Pro & Farm600,000$0$0$No
Colby CaveBears (Was)C231994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm250,000$0$0$No250,000$Link
Cole SmithBears (Was)LW221995-01-01Yes195 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
David FarranceBears (Was)D181999-01-01Yes191 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Derek ForbortBears (Was)D251992-01-01No212 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Emil JohanssonBears (Was)D211996-01-01Yes189 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Gianluca CurcurutoBears (Was)D231994-01-01Yes195 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No550,000$
Isaac RatcliffeBears (Was)LW181999-01-01Yes200 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Jacob BrysonBears (Was)D201997-01-01Yes175 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Jake AllenBears (Was)G271990-01-01No195 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Jakob StenqvistBears (Was)D191998-01-01Yes179 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLink
Jamie McGinnBears (Was)LW291988-01-01No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
Jesper PetterssonBears (Was)D221995-01-01Yes189 Lbs5 ft9NoNoNo2Pro & Farm450,000$0$0$No450,000$Link
Joey LaleggiaBears (Was)D251992-01-01No182 Lbs5 ft9NoNoNo1Pro & Farm900,000$0$0$No
Joshua LeivoBears (Was)RW241993-01-01Yes204 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$
Kerby RychelBears (Was)LW231994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLink
Kirill MaksimovBears (Was)RW181999-01-01Yes207 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Kristians RubinsBears (Was)D201997-01-01Yes227 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Logan O'ConnorBears (Was)RW211996-01-01Yes174 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLink
Mackenze StewartBears (Was)D211996-01-01Yes230 Lbs6 ft4NoNoNo2Pro & Farm450,000$0$0$No450,000$Link
Mario FerraroBears (Was)D191998-01-01Yes209 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Max FribergBears (Was)RW251992-01-01No200 Lbs5 ft11NoNoNo3Pro & Farm900,000$0$0$No950,000$1,000,000$
Michael PrapavessisBears (Was)D211996-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLink
Mike HoffmanBears (Was)LW281989-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Mikko VainonenBears (Was)D231994-01-01Yes222 Lbs6 ft2NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$
Nicholas CaamanoBears (Was)RW191998-01-01Yes201 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLink
Nicolas Aube-KubelBears (Was)RW211996-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLink
Nikolay ProkhorkinBears (Was)LW241993-01-01Yes190 Lbs6 ft2NoNoNo2Pro & Farm275,000$0$0$No275,000$Link
Ryan GravesBears (Was)D221995-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm250,000$0$0$No250,000$Link
Sam CarrickBears (Was)C251992-01-01No188 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Sami AittokallioBears (Was)G251992-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Tommy VannelliBears (Was)D221995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$Link
Vincent DunnBears (Was)C221995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Warren FoegeleBears (Was)LW211996-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLink
Will ReillyBears (Was)D201997-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Zack HayesBears (Was)D181999-01-01Yes222 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4122.49197 Lbs6 ft11.71580,366$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelSam CarrickMax Friberg35005
2A.J. JenksAngelo EspositoJoshua Leivo30005
3Mike HoffmanVincent DunnNicolas Aube-Kubel20014
4Jamie McGinnColby CaveAustin Czarnik15023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaMikko Vainonen40023
2Tommy VannelliDerek Forbort30032
3Gianluca CurcurutoMichael Prapavessis20032
4Joey LaleggiaMikko Vainonen10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelSam CarrickMax Friberg60005
2A.J. JenksAngelo EspositoNicolas Aube-Kubel40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaMikko Vainonen60023
2Tommy VannelliDerek Forbort40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sam CarrickMax Friberg60041
2Jamie McGinnNicolas Aube-Kubel40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaMikko Vainonen60041
2Tommy VannelliDerek Forbort40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sam Carrick60050Joey LaleggiaMikko Vainonen60050
2Max Friberg40050Tommy VannelliDerek Forbort40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam CarrickMax Friberg60005
2Angelo EspositoKerby Rychel40005
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaMikko Vainonen60023
2Tommy VannelliDerek Forbort40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kerby RychelSam CarrickMax FribergJoey LaleggiaMikko Vainonen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jamie McGinnSam CarrickMax FribergJoey LaleggiaMikko Vainonen
Extra Forwards
Normal PowerPlayPenalty Kill
Max Friberg, Nicolas Aube-Kubel, Sam CarrickMax Friberg, Sam CarrickMax Friberg
Extra Defensemen
Normal PowerPlayPenalty Kill
Gianluca Curcuruto, Joey Laleggia, Tommy VannelliGianluca CurcurutoJoey Laleggia, Tommy Vannelli
Penalty Shots
Joshua Leivo, Nicolas Aube-Kubel, A.J. Jenks, Max Friberg, Sam Carrick
Goalie
#1 : Sami Aittokallio, #2 : Jake Allen


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
1Admirals220000001156110000004131100000074341.00011182900102136109165893991791057561362511218.18%30100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
2Barracuda22000000954110000006331100000032141.000915240010213610916689399179105758268443133.33%40100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
3Comets421001001918132100000141221000010056-150.62519294800102136109161429399179105714630167313538.46%9277.78%0943183251.47%889178049.94%679139348.74%171997116947401450730
4Condors210000101385100000106511100000073441.0001320330010213610916809399179105768186356116.67%30100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
5Crunch303000001015-520200000710-31010000035-200.000101626101021361091695939917910579331125714214.29%6350.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
6Devils605001001732-15302001001018-830300000714-710.083173047201021361091620193991791057197584211219210.53%21385.71%0943183251.47%889178049.94%679139348.74%171997116947401450730
7Eagles44000000271512110000004223300000023131081.00027467300102136109161429399179105715348269215533.33%13376.92%1943183251.47%889178049.94%679139348.74%171997116947401450730
8Griffins301001101314-11010000034-1200001101010030.500132134001021361091687939917910571153516729555.56%80100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
9Heat211000001284110000009271010000036-320.50012203200102136109168093991791057582414366116.67%7271.43%0943183251.47%889178049.94%679139348.74%171997116947401450730
10Icehogs320000011812621000001111101100000071650.83318314900102136109161109399179105710635224811327.27%11190.91%1943183251.47%889178049.94%679139348.74%171997116947401450730
11Little Stars420000202318510000010761320000101612481.00023355800102136109161399399179105714436207912325.00%10190.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
12Marlies211000001192110000008441010000035-220.5001120310010213610916749399179105768194488225.00%2150.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
13Monsters220000001129110000007161100000041341.0001115260010213610916839399179105761184477228.57%20100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
14Moose20100010610-41010000016-51000001054120.500681400102136109166993991791057672312476116.67%6350.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
15Penguins4220000013103110000007343120000067-140.5001318310010213610916124939917910571414526901317.69%13284.62%0943183251.47%889178049.94%679139348.74%171997116947401450730
16Phantoms2110000089-11010000047-31100000042220.5008142200102136109167793991791057681710508337.50%5260.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
17Punishers31200000916-72110000089-11010000017-620.333915240010213610916106939917910571012710578112.50%50100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
18Rampage312000001317-41010000047-321100000910-120.333132235101021361091611793991791057114261447800.00%7185.71%1943183251.47%889178049.94%679139348.74%171997116947401450730
19Reign2110000089-1110000005231010000037-420.5008142200102136109166793991791057663325417228.57%10370.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
20Rocket20200000412-81010000013-21010000039-600.00046101010213610916619399179105764221444600.00%7271.43%0943183251.47%889178049.94%679139348.74%171997116947401450730
21Senators21100000121021100000010461010000026-420.50012193100102136109166293991791057722514446233.33%6433.33%0943183251.47%889178049.94%679139348.74%171997116947401450730
22Sound Tigers614000102132-1130200010812-4312000001320-740.33321335400102136109161939399179105719161671113026.67%311067.74%1943183251.47%889178049.94%679139348.74%171997116947401450730
23Thunderbirds312000001315-2211000007611010000069-320.33313203300102136109169693991791057983220649333.33%10460.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
24Wolfpack32000001171162200000013671000000145-150.83317304700102136109161159399179105711036125911327.27%6266.67%0943183251.47%889178049.94%679139348.74%171997116947401450730
25Wolves93300021373615310001024195402000111317-4110.6113758950010213610916333939917910572829583200471021.28%38781.58%0943183251.47%889178049.94%679139348.74%171997116947401450730
Total803333003833553487401915001411881632540141800242167185-18880.5503555739285010213610916277993991791057269783350316222936221.16%2435676.95%4943183251.47%889178049.94%679139348.74%171997116947401450730
_Since Last GM Reset803333003833553487401915001411881632540141800242167185-18880.5503555739285010213610916277993991791057269783350316222936221.16%2435676.95%4943183251.47%889178049.94%679139348.74%171997116947401450730
_Vs Conference52192400252219235-162611110013011311032681300122106125-19520.5002193525714010213610916180393991791057177052534810411993718.59%1693877.51%3943183251.47%889178049.94%679139348.74%171997116947401450730
_Vs Division214120013175100-251135001204249-71017000113351-18160.38175121196201021361091672793991791057670214192423961414.58%902077.78%1943183251.47%889178049.94%679139348.74%171997116947401450730

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8088L535557392827792697833503162250
All Games
GPWLOTWOTL SOWSOLGFGA
8033330383355348
Home Games
GPWLOTWOTL SOWSOLGFGA
4019150141188163
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4014180242167185
Last 10 Games
WLOTWOTL SOWSOL
260020
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2936221.16%2435676.95%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9399179105710213610916
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
943183251.47%889178049.94%679139348.74%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
171997116947401450730


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
1 - 2022-10-273Wolves5Bears6BWXXR1BoxScore
4 - 2022-10-3021Bears5Wolves8ALBoxScore
6 - 2022-11-0133Bears4Wolves3AWXXR1BoxScore
7 - 2022-11-0236Bears5Little Stars4AWBoxScore
10 - 2022-11-0550Wolves6Bears5BLR1BoxScore
11 - 2022-11-0657Bears6Eagles3AWBoxScore
14 - 2022-11-0975Wolves3Bears4BWR1BoxScore
16 - 2022-11-1182Bears4Penguins2AWBoxScore
19 - 2022-11-14102Devils3Bears2BLXBoxScore
22 - 2022-11-17116Bears3Sound Tigers8ALR1BoxScore
23 - 2022-11-18127Comets2Bears4BWBoxScore
25 - 2022-11-20138Bears4Rampage7ALBoxScore
27 - 2022-11-22147Bears2Devils4ALBoxScore
29 - 2022-11-24155Sound Tigers5Bears2BLR1BoxScore
32 - 2022-11-27173Bears1Penguins3ALBoxScore
34 - 2022-11-29181Thunderbirds5Bears4BLBoxScore
37 - 2022-12-02195Bears3Sound Tigers6ALR1BoxScore
39 - 2022-12-04206Bears5Griffins6ALXBoxScore
40 - 2022-12-05211Sound Tigers2Bears3BWXXR1BoxScore
44 - 2022-12-09227Bears3Crunch5ALBoxScore
45 - 2022-12-10234Thunderbirds1Bears3BWBoxScore
50 - 2022-12-15258Senators4Bears10BWBoxScore
52 - 2022-12-17267Bears3Reign7ALBoxScore
54 - 2022-12-19275Bears4Phantoms2AWBoxScore
55 - 2022-12-20286Wolves1Bears3BWR1BoxScore
58 - 2022-12-23296Bears1Wolves2ALBoxScore
61 - 2022-12-26311Sound Tigers5Bears3BLR1BoxScore
64 - 2022-12-29325Bears7Icehogs1AWBoxScore
66 - 2022-12-31338Admirals1Bears4BWBoxScore
68 - 2023-01-02353Bears3Marlies5ALBoxScore
70 - 2023-01-04364Rampage7Bears4BLBoxScore
74 - 2023-01-08381Bears3Barracuda2AWBoxScore
76 - 2023-01-10390Comets9Bears4BLBoxScore
78 - 2023-01-12401Bears9Eagles5AWBoxScore
80 - 2023-01-14414Comets1Bears6BWBoxScore
82 - 2023-01-16425Bears7Admirals4AWBoxScore
85 - 2023-01-19437Moose6Bears1BLBoxScore
87 - 2023-01-21449Bears5Moose4AWXXBoxScore
89 - 2023-01-23460Bears2Senators6ALBoxScore
91 - 2023-01-25468Icehogs7Bears6BLXXBoxScore
93 - 2023-01-27484Bears1Punishers7ALBoxScore
95 - 2023-01-29494Griffins4Bears3BLBoxScore
100 - 2023-02-03520Rocket3Bears1BLBoxScore
102 - 2023-02-05532Bears3Rocket9ALBoxScore
104 - 2023-02-07539Bears5Griffins4AWXXBoxScore
105 - 2023-02-08546Eagles2Bears4BWBoxScore
109 - 2023-02-12569Wolves4Bears6BWR1BoxScore
112 - 2023-02-15588Bears1Penguins2ALBoxScore
114 - 2023-02-17593Bears7Condors3AWBoxScore
115 - 2023-02-18598Reign2Bears5BWBoxScore
118 - 2023-02-21616Bears3Heat6ALBoxScore
120 - 2023-02-23623Monsters1Bears7BWBoxScore
122 - 2023-02-25632Bears5Rampage3AWBoxScore
124 - 2023-02-27645Bears7Sound Tigers6AWR1BoxScore
125 - 2023-02-28649Penguins3Bears7BWBoxScore
129 - 2023-03-04670Bears1Devils4ALBoxScore
130 - 2023-03-05676Icehogs4Bears5BWBoxScore
134 - 2023-03-09700Marlies4Bears8BWBoxScore
137 - 2023-03-12718Bears4Wolfpack5ALXXBoxScore
139 - 2023-03-14727Barracuda3Bears6BWBoxScore
141 - 2023-03-16740Bears4Monsters1AWBoxScore
144 - 2023-03-19752Punishers5Bears6BWBoxScore
147 - 2023-03-22768Bears4Devils6ALBoxScore
149 - 2023-03-24779Punishers4Bears2BLBoxScore
151 - 2023-03-26784Bears3Wolves4ALXXR1BoxScore
153 - 2023-03-28802Bears5Little Stars3AWBoxScore
155 - 2023-03-30806Heat2Bears9BWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
160 - 2023-04-04832Little Stars6Bears7BWXXBoxScore
163 - 2023-04-07844Bears5Comets6ALXBoxScore
166 - 2023-04-10858Wolfpack3Bears5BWBoxScore
170 - 2023-04-14883Phantoms7Bears4BLBoxScore
175 - 2023-04-19904Bears8Eagles5AWBoxScore
176 - 2023-04-20910Wolfpack3Bears8BWBoxScore
181 - 2023-04-25934Condors5Bears6BWXXBoxScore
184 - 2023-04-28951Bears6Little Stars5AWXXBoxScore
185 - 2023-04-29958Crunch6Bears4BLBoxScore
192 - 2023-05-06983Crunch4Bears3BLBoxScore
196 - 2023-05-101004Devils8Bears3BLBoxScore
200 - 2023-05-141016Bears6Thunderbirds9ALBoxScore
204 - 2023-05-181033Devils7Bears5BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance74,39637,533
Attendance PCT93.00%93.83%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2798 - 93.27% 83,130$3,325,198$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,903,156$ 2,379,500$ 1,887,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,551$ 2,345,893$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 14,221$ 0$




Bears 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

Bears Goalies Stat Leaders (Regular Season)

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

Bears 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

Bears 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

Bears Goalies Stat Leaders (Play-Off)

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