Out of Date Version of the STHS! Please update your version!
Login

Predators
GP: 82 | W: 44 | L: 32 | OTL: 6 | P: 94
GF: 272 | GA: 254 | PP%: 24.90% | PK%: 80.38%
GM : Libre | Morale : 71 | Team Overall : 67
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Predators
44-32-6, 94pts
5
FINAL
4 Flyers
37-40-5, 79pts
Team Stats
W3StreakW1
23-15-3Home Record20-18-3
21-17-3Away Record17-22-2
6-3-1Last 10 Games4-5-1
3.32Goals Per Game2.90
3.10Goals Against Per Game3.18
24.90%Power Play Percentage17.03%
80.38%Penalty Kill Percentage82.57%
Flames
37-31-14, 88pts
2
FINAL
4 Predators
44-32-6, 94pts
Team Stats
L2StreakW3
20-14-7Home Record23-15-3
17-17-7Away Record21-17-3
1-7-2Last 10 Games6-3-1
3.01Goals Per Game3.32
3.06Goals Against Per Game3.10
15.36%Power Play Percentage24.90%
77.49%Penalty Kill Percentage80.38%
Team Leaders
Goals
Denis Gurianov
51
Assists
Denis Gurianov
58
Points
Denis Gurianov
109
Plus/Minus
Ethan Bear
17
Wins
Vitek Vanecek
36
Save Percentage
Niklas Svedberg
0.909

Team Stats
Goals For
272
3.32 GFG
Shots For
2582
31.49 Avg
Power Play Percentage
24.9%
61 GF
Offensive Zone Start
38.3%
Goals Against
254
3.10 GAA
Shots Against
2594
31.63 Avg
Penalty Kill Percentage
80.4%%
51 GA
Defensive Zone Start
38.2%
Team Info

General ManagerLibre
CoachPaul MacLean
DivisionCentrale
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,789
Season Tickets1,800


Roster Info

Pro Team36
Farm Team20
Contract Limit56 / 60
Prospects19


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Oskar Sundqvist (R)X100.0076458570836984787885808466767269777402922,000,000$
2Denis Gurianov (R)X100.007439887879839583567982637872747878740251575,000$
3Frederick Gaudreau (R)X100.007941967483645969867869762579726778690301600,000$
4Nils Höglander (R)X100.005129987272758279547376657965687262690222891,667$
5Tanner Jeannot (R)X100.007547957583626672347572662572687676680252800,000$
6Adam Erne (R)X100.007545837383667864577470617574687273670281575,000$
7Nicholas Merkley (R)X100.007643917383597066337770612569667476660252575,000$
8Steven Lorentz (R)X100.007544936983568168777368632572696274660272725,000$
9Byron Froese (R)X100.006637896475757965786264676382794430650322575,000$
10Kyle Rau (R)X100.007743816984545761257367652581736174640301575,000$
11Jesse Ylönen (R)X100.007069837080656662507170635964667526640232880,833$
12Michael McCarron (R)X100.007884517284585558707166632574697479630283700,000$
13Ryan WilsonX100.006340875977737675436659996399992557403621,500,000$
14Carson Soucy (R)X100.007686717282899167307467795277726074730281925,000$
15Ethan Bear (R)X100.007442897279748471257670772572716575710251925,000$
16Nikita Nesterov (R)X100.0060309969737279622563578350868235716903011,000,000$
17Alexandre Carrier (R)X100.007343876983806363257269712572696076680261575,000$
18Alexey Marchenko (R)X100.004925996678618462185345875075743622660313700,000$
Scratches
1Josh Jooris (R)X83.6772467667737069828078778490898667517303221,000,000$
2Jansen Harkins (R)X100.007341947183516660587368672569666919640251767,500$
3Boo Nieves (R)X100.005228996377697767636560656274696129630292575,000$
4Joseph Cramarossa (R)X100.007468886382565652707767606079716120620301575,000$
5Nikolai Prokhorkin (R)X100.006035966576726763576551646376725319610291925,000$
6Cole Smith (R)X100.007074876684565661507267465544445919590273750,000$
7Brandon Duhaime (R)X100.007275646875646656503737615844446017530253750,000$
8Riley Tufte (R)X100.008589756189657049503737664444445520530253750,000$
9Josh Mahura (R)X100.007242907282687569257570652567656210670253700,000$
10Tim Heed (R)X100.004026997171737173307771745083754351670322700,000$
11Michal Jordan (R)X100.004521996674527471516450876071723719660322600,000$
12Christian Jaros (R)X100.007682916683555765257468713774715420650273600,000$
13Jordan Gross (R)X100.007268997781535674257769673744444920650283762,500$
14Thomas Harley (R)X100.007473776673717559253535635044456120580213863,333$
15Markus Niemelainen (R)X100.008076906576596248253131634044445420560243762,500$
TEAM AVERAGE99.48695188697966716647686370487067584666
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
1Vitek Vanecek (R)100.00839286858691949196838274787274860272716,667$
2Niklas Svedberg (R)98.008070707374999999997779949061718303311,000,000$
Scratches
1Jeremy Smith100.00675671737074677071686685712820680341575,000$
TEAM AVERAGE99.3377737677778887878976768480545579
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Paul MacLean89707691998678FRA6431,000,000$


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
1Denis GurianovPredators (NSH)LW82515810993801531463239320615.79%48170220.771024344420212362016438.86%2118828111.28160009611
2Oskar Sundqvist Predators (NSH)C7433579036351572222197613015.07%50154220.851415293617501121885349.19%20312525101.1714010473
3Frederick GaudreauPredators (NSH)C782738651180127150168629916.07%23121815.6228109732354844353.48%9483421011.0734000491
4Tanner JeannotPredators (NSH)LW82203454155512191213641489.39%25120314.6746101377000034230.16%634316000.9001100306
5Jesse PuljujarviPredatorsRW66222446825514093152528614.47%30126919.2351015171643148793040.58%693018200.7212001143
6Josh JoorisPredators (NSH)C56212142-135601381411975312410.66%25104218.61591415940003683152.13%10342611000.8112000116
7Nicholas MerkleyPredators (NSH)RW79162541-118011683138537511.59%23114214.463257441233494021.28%942815000.7200000013
8Ryan WilsonPredators (NSH)D817344110801081489134297.69%110192723.805101514219022523910100.00%12074000.4300000221
9Adam ErnePredators (NSH)RW69151833942013990121326512.40%20118117.1245913141000001151.61%622519000.5600000040
10Nils HöglanderPredators (NSH)LW43171532-1404968162469710.49%1375817.6324610791013212146.00%502410010.8401000303
11Carson SoucyPredators (NSH)D8281826131342017315311136357.21%99190323.21538232210002196010.00%03163000.2701121111
12Ethan BearPredators (NSH)D82322251738011613110642382.83%88173921.2114551360005150010.00%03538000.2900000011
13Steven LorentzPredators (NSH)C82111223-4407910113943707.91%1584310.290110250001223050.00%4621312000.5500000022
14Kyle RauPredators (NSH)LW8261016-14275926810633675.66%2087710.70000011016750120.00%251522000.3600001001
15Nikita NesterovPredators (NSH)D6811415980551385521221.82%59144821.3010141190000140000.00%0849000.2100000000
16Alexandre CarrierPredators (NSH)D8201313-15320114985423200.00%75135716.56011123000052000.00%01228000.1900000000
17Tim HeedPredators (NSH)D64088-179515824931230.00%6398815.4500005000121000.00%02426000.1600001001
18Michael McCarron Predators (NSH)RW82235-74915139456423453.13%136537.9600002000020047.06%1796000.1500201000
19Jesse YlönenPredators (NSH)RW29325114055233411248.82%434712.0000005000012026.67%1567000.2900000011
20Byron FroesePredators (NSH)C32224-1201331346165.88%42909.06000000001260053.15%11101000.2800000000
21Alexey MarchenkoPredators (NSH)D100336204155640.00%615915.990000000006000.00%005000.3800000000
22Boo NievesPredators (NSH)LW39123-30062617385.88%32957.5700000000051040.00%518000.2000000000
23Jansen HarkinsPredators (NSH)C6101-1002432333.33%2427.1600000000000053.33%1511000.4700000000
24Josh MahuraPredators (NSH)D7000-7206138120.00%611516.560000000017000.00%003000.00%00000000
25Christian JarosPredators (NSH)D16000-495172012250.00%2124715.4700000000014000.00%028000.00%00001000
26Brandon DuhaimePredators (NSH)RW3000020201000.00%0206.990000000000000.00%100000.00%00000000
Team Total or Average14762674337001358965213621802582848144110.34%8452431916.4861102163211181691120511661391849.23%5214500514430.58721436283944
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
1Vitek VanecekPredators (NSH)70362750.9013.054038202052078908310.867156814932
2Niklas SvedbergPredators (NSH)198510.9093.039304147515201201.00051459300
Team Total or Average89443260.9033.0449686125225931109512082731232


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
Adam ErnePredators (NSH)RW281995-04-20 09:47:57Yes212 Lbs6 ft1NoNoNo1Pro & Farm575,000$2,889$0$0$No
Alexandre CarrierPredators (NSH)D261996-10-08 04:11:56Yes183 Lbs5 ft11NoNoNo1Pro & Farm575,000$2,889$0$0$No
Alexey MarchenkoPredators (NSH)D311992-01-02 05:11:13Yes218 Lbs6 ft2NoNoNo3Pro & Farm700,000$3,518$0$0$No700,000$700,000$
Boo NievesPredators (NSH)LW291994-01-23 09:51:40Yes210 Lbs6 ft3NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Brandon DuhaimePredators (NSH)RW251997-05-22 05:53:54Yes201 Lbs6 ft2NoNoNo3Pro & Farm750,000$3,769$0$0$No750,000$750,000$
Byron FroesePredators (NSH)C321991-03-12 10:21:16Yes203 Lbs6 ft1NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Carson SoucyPredators (NSH)D281994-07-24 13:32:14Yes212 Lbs6 ft5NoNoNo1Pro & Farm925,000$4,648$0$0$No
Christian JarosPredators (NSH)D271996-04-02 04:19:52Yes201 Lbs6 ft3NoNoNo3Pro & Farm600,000$3,015$0$0$No600,000$600,000$
Cole SmithPredators (NSH)LW271995-10-28 10:30:02Yes194 Lbs6 ft3NoNoNo3Pro & Farm750,000$3,769$0$0$No750,000$750,000$
Denis GurianovPredators (NSH)LW251997-06-07 09:53:45Yes201 Lbs6 ft3NoNoNo1Pro & Farm575,000$2,889$0$0$No
Ethan BearPredators (NSH)D251997-06-26 13:30:38Yes196 Lbs5 ft11NoNoNo1Pro & Farm925,000$4,648$0$0$No
Frederick GaudreauPredators (NSH)C301993-05-01 03:42:10Yes179 Lbs6 ft0NoNoNo1Pro & Farm600,000$3,015$0$0$No
Jansen HarkinsPredators (NSH)C251997-05-23 06:46:07Yes187 Lbs6 ft1NoNoNo1Pro & Farm767,500$3,857$0$0$No
Jeremy SmithPredators (NSH)G341989-04-13 10:57:47No180 Lbs6 ft0NoNoNo1Pro & Farm575,000$2,889$0$0$No
Jesse YlönenPredators (NSH)RW231999-10-03 13:51:24Yes187 Lbs6 ft1NoNoNo2Pro & Farm880,833$4,426$0$0$No880,833$
Jordan GrossPredators (NSH)D281995-05-09 05:38:00Yes190 Lbs5 ft10NoNoNo3Pro & Farm762,500$3,832$0$0$No762,500$762,500$
Joseph CramarossaPredators (NSH)LW301992-10-26 03:39:18Yes193 Lbs6 ft0NoNoNo1Pro & Farm575,000$2,889$0$0$No
Josh Jooris (Out of Payroll)Predators (NSH)C321990-07-14 17:11:13Yes194 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$5,025$0$0$No1,000,000$
Josh MahuraPredators (NSH)D251998-05-05 12:47:30Yes192 Lbs6 ft0NoNoNo3Pro & Farm700,000$3,518$0$0$No700,000$700,000$
Kyle RauPredators (NSH)LW301992-10-24 08:23:57Yes176 Lbs5 ft8NoNoNo1Pro & Farm575,000$2,889$0$0$No
Markus NiemelainenPredators (NSH)D241998-06-08 05:56:27Yes190 Lbs6 ft6NoNoNo3Pro & Farm762,500$3,832$0$0$No762,500$762,500$
Michael McCarron Predators (NSH)RW281995-03-07 18:40:02Yes230 Lbs6 ft6NoNoNo3Pro & Farm700,000$3,518$0$0$No700,000$700,000$
Michal JordanPredators (NSH)D321990-07-17 17:11:13Yes198 Lbs6 ft1NoNoNo2Pro & Farm600,000$3,015$0$0$No600,000$
Nicholas MerkleyPredators (NSH)RW251997-05-23 09:35:43Yes194 Lbs5 ft10NoNoNo2Pro & Farm575,000$2,889$0$0$No575,000$
Nikita NesterovPredators (NSH)D301993-03-28 11:11:13Yes188 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$5,025$0$0$No
Niklas SvedbergPredators (NSH)G331989-09-04 11:11:14Yes179 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$5,025$0$0$No
Nikolai ProkhorkinPredators (NSH)C291993-09-17 06:49:59Yes201 Lbs6 ft2NoNoNo1Pro & Farm925,000$4,648$0$0$No
Nils HöglanderPredators (NSH)LW222000-12-20 13:55:24Yes190 Lbs5 ft9NoNoNo2Pro & Farm891,667$4,481$0$0$No891,667$
Oskar Sundqvist Predators (NSH)C291994-03-23 10:24:07Yes209 Lbs6 ft3NoNoNo2Pro & Farm2,000,000$10,050$0$0$No2,000,000$
Riley TuftePredators (NSH)LW251998-04-10 06:02:19Yes220 Lbs6 ft6NoNoNo3Pro & Farm750,000$3,769$0$0$No750,000$750,000$
Ryan WilsonPredators (NSH)D361987-02-03 23:11:13No218 Lbs6 ft1NoNoNo2Pro & Farm1,500,000$7,538$0$0$No1,500,000$
Steven LorentzPredators (NSH)C271996-04-13 05:46:29Yes205 Lbs6 ft4NoNoNo2Pro & Farm725,000$3,643$0$0$No725,000$
Tanner JeannotPredators (NSH)LW251997-05-29 05:50:39Yes214 Lbs6 ft2NoNoNo2Pro & Farm800,000$4,020$0$0$No800,000$
Thomas HarleyPredators (NSH)D212001-08-19 06:04:08Yes205 Lbs6 ft3NoNoNo3Pro & Farm863,333$4,338$0$0$No863,333$863,333$
Tim HeedPredators (NSH)D321991-01-27 04:34:13Yes180 Lbs5 ft11NoNoNo2Pro & Farm700,000$3,518$0$0$No700,000$
Vitek VanecekPredators (NSH)G271996-01-09 13:57:45Yes187 Lbs6 ft1NoNoNo2Pro & Farm716,667$3,601$0$0$No716,667$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3627.92198 Lbs6 ft11.92790,833$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Denis GurianovOskar Sundqvist Adam Erne35122
2Nils HöglanderFrederick GaudreauNicholas Merkley35122
3Tanner JeannotSteven LorentzJesse Ylönen25122
4Kyle RauByron FroeseMichael McCarron 5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan WilsonCarson Soucy35122
2Ethan BearNikita Nesterov35122
3Alexandre CarrierAlexey Marchenko30122
4Ryan WilsonCarson Soucy0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Denis GurianovOskar Sundqvist Adam Erne60122
2Nils HöglanderFrederick GaudreauNicholas Merkley40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan WilsonCarson Soucy60122
2Ethan BearNikita Nesterov40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Denis GurianovOskar Sundqvist 60122
2Frederick GaudreauNils Höglander40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan WilsonCarson Soucy60122
2Ethan BearNikita Nesterov40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Denis Gurianov60122Ryan WilsonCarson Soucy60122
2Oskar Sundqvist 40122Ethan BearNikita Nesterov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Denis GurianovOskar Sundqvist 60122
2Frederick GaudreauNils Höglander40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan WilsonCarson Soucy60122
2Ethan BearNikita Nesterov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Denis GurianovOskar Sundqvist Adam ErneRyan WilsonCarson Soucy
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Denis GurianovOskar Sundqvist Adam ErneRyan WilsonCarson Soucy
Extra Forwards
Normal PowerPlayPenalty Kill
Tanner Jeannot, Steven Lorentz, Byron FroeseTanner Jeannot, Steven LorentzByron Froese
Extra Defensemen
Normal PowerPlayPenalty Kill
Alexandre Carrier, Alexey Marchenko, Ethan BearAlexandre CarrierAlexey Marchenko, Ethan Bear
Penalty Shots
Denis Gurianov, Oskar Sundqvist , Frederick Gaudreau, Nils Höglander, Tanner Jeannot
Goalie
#1 : Niklas Svedberg, #2 : Vitek Vanecek
Custom OT Lines Forwards
Denis Gurianov, Oskar Sundqvist , Frederick Gaudreau, Nils Höglander, Tanner Jeannot, Adam Erne, Adam Erne, Steven Lorentz, Nicholas Merkley, Byron Froese, Jesse Ylönen
Custom OT Lines Defensemen
Ryan Wilson, Carson Soucy, Ethan Bear, Nikita Nesterov, Alexandre Carrier


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
1Avalanche624000002021-13120000079-2312000001312140.333203252007796891214778598579438177617319125520.00%28485.71%21019197551.59%939196947.69%609121350.21%172498018087571442706
2Blackhawks622001102122-13110010089-1311000101313070.583213657007796891219678598579438177626716119526.32%271062.96%01019197551.59%939196947.69%609121350.21%172498018087571442706
3Blues613001102021-131200000990301001101112-150.417203151007796891219278598579438176654816226519.23%24483.33%11019197551.59%939196947.69%609121350.21%172498018087571442706
4Bruins30300000512-72020000037-41010000025-300.000581300779689129078598579438109331268200.00%60100.00%01019197551.59%939196947.69%609121350.21%172498018087571442706
5Canadiens4220000013121220000008352020000059-440.5001320330077968912137785985794381304612994125.00%6266.67%01019197551.59%939196947.69%609121350.21%172498018087571442706
6Canucks44000000201282200000095422000000117481.00020325200779689121357859857943814141269214214.29%13192.31%11019197551.59%939196947.69%609121350.21%172498018087571442706
7Capitals20200000510-51010000047-31010000013-200.00056110077968912747859857943860171242500.00%6183.33%01019197551.59%939196947.69%609121350.21%172498018087571442706
8Devils211000006331010000012-11100000051420.500610160077968912657859857943868244497342.86%20100.00%01019197551.59%939196947.69%609121350.21%172498018087571442706
9Ducks412001001113-22010010049-52110000074330.375112031007796891212378598579438142375210213215.38%11463.64%01019197551.59%939196947.69%609121350.21%172498018087571442706
10Flames43001000181082200000010462100100086281.000182745007796891212378598579438125443010613646.15%15380.00%11019197551.59%939196947.69%609121350.21%172498018087571442706
11Flyers2010001078-11010000024-21000001054120.50071219007796891269785985794386420452400.00%220.00%01019197551.59%939196947.69%609121350.21%172498018087571442706
12Islanders20101000330100010003211010000001-120.5003690077968912577859857943864174433133.33%20100.00%01019197551.59%939196947.69%609121350.21%172498018087571442706
13Kings422000001314-1211000007612110000068-240.5001319320077968912117785985794381283724979333.33%12191.67%01019197551.59%939196947.69%609121350.21%172498018087571442706
14Maple Leafs22000000844110000005321100000031241.000815230077968912677859857943866341234100.00%60100.00%01019197551.59%939196947.69%609121350.21%172498018087571442706
15Oilers4210010010100211000006602100010044050.62510142400779689121367859857943813244289811327.27%14285.71%11019197551.59%939196947.69%609121350.21%172498018087571442706
16Penguins21001000972100010005411100000043141.000914230077968912737859857943867236404250.00%3233.33%01019197551.59%939196947.69%609121350.21%172498018087571442706
17Rangers20001010752100000104311000100032141.000710170077968912687859857943873168544125.00%4175.00%01019197551.59%939196947.69%609121350.21%172498018087571442706
18Red Wings22000000523110000003121100000021141.00059140077968912587859857943863176583266.67%30100.00%01019197551.59%939196947.69%609121350.21%172498018087571442706
19Sabres20100010550100000103211010000023-120.500551000779689126778598579438572211584125.00%30100.00%11019197551.59%939196947.69%609121350.21%172498018087571442706
20Senateurs32100000972110000002112110000076140.6679132210779689129178598579438863020869222.22%50100.00%01019197551.59%939196947.69%609121350.21%172498018087571442706
21Sharks4210000115123210000019722110000065150.62515223700779689121357859857943810740181079444.44%9277.78%01019197551.59%939196947.69%609121350.21%172498018087571442706
22Stars63101100261793200100015510311001001112-190.750264571017796891218478598579438198568018826726.92%40685.00%21019197551.59%939196947.69%609121350.21%172498018087571442706
23Wild624000001624-831200000711-431200000913-440.333162743007796891217878598579438184593814930620.00%19668.42%01019197551.59%939196947.69%609121350.21%172498018087571442706
Total82343205551272254184118150322113411915411617023301381353940.5732724337051177968912258278598579438259484559521362456124.90%2605180.38%91019197551.59%939196947.69%609121350.21%172498018087571442706
_Since Last GM Reset82343205551272254184118150322113411915411617023301381353940.5732724337051177968912258278598579438259484559521362456124.90%2605180.38%91019197551.59%939196947.69%609121350.21%172498018087571442706
_Vs Conference5424200252119017614271310012019180112711100132099963620.5741903054950177968912166678598579438168754648414531954824.62%2124379.72%81019197551.59%939196947.69%609121350.21%172498018087571442706
_Vs Division30101401320103105-2156701100464331547002205762-5290.4831031712740177968912897785985794389123033068511262822.22%1383078.26%51019197551.59%939196947.69%609121350.21%172498018087571442706

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8294W327243370525822594845595213611
All Games
GPWLOTWOTL SOWSOLGFGA
8234325551272254
Home Games
GPWLOTWOTL SOWSOLGFGA
4118153221134119
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4116172330138135
Last 10 Games
WLOTWOTL SOWSOL
630100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2456124.90%2605180.38%9
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7859857943877968912
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1019197551.59%939196947.69%609121350.21%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
172498018087571442706


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
2 - 2022-10-198Avalanche4Predators1BLR5BoxScore
6 - 2022-10-2322Predators6Avalanche1AWBoxScore
8 - 2022-10-2536Stars3Predators4BWXBoxScore
10 - 2022-10-2748Predators4Stars6ALBoxScore
11 - 2022-10-2852Predators6Blackhawks5AWR5BoxScore
14 - 2022-10-3168Blues4Predators2BLR5BoxScore
16 - 2022-11-0279Blackhawks4Predators2BLBoxScore
19 - 2022-11-0590Predators5Blues4AWXXR5BoxScore
23 - 2022-11-09108Wild2Predators3BWR5BoxScore
27 - 2022-11-13124Avalanche1Predators5BWR5BoxScore
29 - 2022-11-15135Predators4Wild6ALBoxScore
32 - 2022-11-18149Oilers3Predators5BWBoxScore
35 - 2022-11-21167Predators3Wild1AWR5BoxScore
36 - 2022-11-22172Stars2Predators10BWBoxScore
41 - 2022-11-27193Canadiens1Predators2BWBoxScore
44 - 2022-11-30207Predators2Blues3ALXR5BoxScore
46 - 2022-12-02217Canucks4Predators6BWR2BoxScore
52 - 2022-12-08240Predators2Red Wings1AWBoxScore
53 - 2022-12-09244Maple Leafs3Predators5BWBoxScore
58 - 2022-12-14266Blues3Predators2BLR5BoxScore
60 - 2022-12-16273Predators4Blues5ALBoxScore
62 - 2022-12-18283Predators0Islanders1ALBoxScore
64 - 2022-12-20293Penguins4Predators5BWXBoxScore
68 - 2022-12-24314Kings1Predators3BWR2BoxScore
70 - 2022-12-26322Predators4Kings2AWBoxScore
72 - 2022-12-28337Senateurs1Predators2BWBoxScore
74 - 2022-12-30346Predators7Canucks4AWR2BoxScore
76 - 2023-01-01359Predators2Senateurs4ALBoxScore
77 - 2023-01-02365Flyers4Predators2BLBoxScore
81 - 2023-01-06386Oilers3Predators1BLBoxScore
83 - 2023-01-08393Predators4Flames3AWXR2BoxScore
85 - 2023-01-10409Sabres2Predators3BWXXBoxScore
87 - 2023-01-12420Predators2Bruins5ALBoxScore
90 - 2023-01-15434Ducks5Predators4BLXR2BoxScore
92 - 2023-01-17445Predators3Maple Leafs1AWBoxScore
95 - 2023-01-20459Kings5Predators4BLR2BoxScore
97 - 2023-01-22467Predators3Rangers2AWXBoxScore
99 - 2023-01-24480Predators2Oilers3ALXBoxScore
100 - 2023-01-25486Red Wings1Predators3BWBoxScore
103 - 2023-01-28505Canadiens2Predators6BWBoxScore
105 - 2023-01-30514Predators1Capitals3ALBoxScore
107 - 2023-02-01526Predators3Stars1AWBoxScore
108 - 2023-02-02531Rangers3Predators4BWXXBoxScore
111 - 2023-02-05550Predators2Oilers1AWBoxScore
112 - 2023-02-06555Devils2Predators1BLBoxScore
115 - 2023-02-09572Predators4Penguins3AWBoxScore
116 - 2023-02-10579Capitals7Predators4BLBoxScore
119 - 2023-02-13593Predators2Wild6ALR5BoxScore
121 - 2023-02-15603Blues2Predators5BWBoxScore
123 - 2023-02-17614Predators5Blackhawks4AWXXR5BoxScore
124 - 2023-02-18623Predators5Senateurs2AWBoxScore
126 - 2023-02-20631Wild6Predators3BLR5BoxScore
129 - 2023-02-23650Avalanche4Predators1BLR5BoxScore
132 - 2023-02-26663Predators5Devils1AWBoxScore
133 - 2023-02-27675Canucks1Predators3BWR2BoxScore
136 - 2023-03-02690Predators4Stars5ALXBoxScore
137 - 2023-03-03697Stars0Predators1BWBoxScore
140 - 2023-03-06713Predators2Blackhawks4ALR5BoxScore
142 - 2023-03-08720Predators4Sharks2AWR2BoxScore
144 - 2023-03-10728Ducks4Predators0BLBoxScore
148 - 2023-03-14746Predators4Flames3AWR2BoxScore
149 - 2023-03-15753Wild3Predators1BLBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
152 - 2023-03-18766Predators2Sabres3ALBoxScore
154 - 2023-03-20776Bruins4Predators1BLBoxScore
157 - 2023-03-23793Predators2Sharks3ALR2BoxScore
158 - 2023-03-24799Islanders2Predators3BWXBoxScore
161 - 2023-03-27817Predators2Ducks3ALR2BoxScore
162 - 2023-03-28820Predators5Avalanche8ALR5BoxScore
163 - 2023-03-29826Bruins3Predators2BLBoxScore
168 - 2023-04-03846Predators2Kings6ALR2BoxScore
169 - 2023-04-04851Sharks4Predators3BLXXR2BoxScore
172 - 2023-04-07869Predators5Ducks1AWBoxScore
173 - 2023-04-08873Predators2Avalanche3ALR5BoxScore
174 - 2023-04-09878Sharks3Predators6BWR2BoxScore
179 - 2023-04-14899Blackhawks2Predators4BWBoxScore
181 - 2023-04-16906Predators4Canucks3AWR2BoxScore
182 - 2023-04-17917Predators2Canadiens3ALBoxScore
185 - 2023-04-20928Blackhawks3Predators2BLXR5BoxScore
188 - 2023-04-23940Predators3Canadiens6ALBoxScore
190 - 2023-04-25950Flames2Predators6BWR2BoxScore
191 - 2023-04-26955Predators5Flyers4AWXXBoxScore
197 - 2023-05-02981Flames2Predators4BWR2BoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3525
Attendance79,85934,497
Attendance PCT97.39%84.14%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2789 - 92.97% 120,429$4,937,608$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,708,112$ 2,747,000$ 1,947,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
13,804$ 2,718,116$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 18,829$ 18,829$




Predators 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

Predators Goalies Stat Leaders (Regular Season)

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

Predators 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

Predators 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

Predators Goalies Stat Leaders (Play-Off)

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