Manchots

GP: 82 | W: 27 | L: 46 | OTL: 9 | P: 63
GF: 241 | GA: 318 | PP%: 21.89% | PK%: 81.55%
DG: Guy Sanscartier | Morale : 50 | Moyenne d'Équipe : 46
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Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Josh JoorisXXX100.00623585726860625082465462454537050560
2Christian ThomasX100.00474384715146324535464260464138050500
3Colby Cave (R)XX100.00493579736953353543353561483532050480
4Jack Rodewald (R)X100.00523583666348353535353562483532050470
5Daniil TarasovXX100.00433592685839293839453159453532050470
6Kurtis GabrielX100.00616149637445343735413358473734050470
7Turner ElsonX100.00473593676649313335343269463532050470
8Anthony Peluso (A)X100.00533555607945353535353553484340050460
9Curtis HamiltonX100.00453530647440293135313161453532050440
10Mitch Moroz (R)X100.00414545457239394145414145433230050440
11Gabriel Gagne (R)XX100.00434545456342424345434345443230050440
12Zach Nastasiuk (R)XX100.00414545456339394145414145433230050430
13Ben Harpur (R)X99.00694383607659423435353267484137050540
14David RundbladX100.00543583636057374635484364464543050540
15John Gilmour (R)X100.00533583706354384435404763483532050540
16Carson Soucy (R)X100.00563579606952353135303265483532050510
17Dakota Mermis (R)X100.00513595636347353135303264483532050500
18Alex Lintuniemi (R)X100.00414545457939394145414145433230050450
Rayé
1Jay McClementX100.00534386667159764783435173476656050580
2Andrew MangiapaneX100.00483589685650353550353559483532050470
3Andrei LoktionovX100.00306255546129503135313161454541050430
4Dylan Sadowy (R)XX100.00394343435637373943393943413230050410
5Adam Helewka (R)X100.00384040406937373840383840393230050410
6Richard Nejezchleb (R)XX100.00333737377133333337333337353230050380
7Cameron Darcy (R)X100.00333737376433333337333337353230050370
8Cameron GaunceX100.00574370636946344735484766474036050540
9Cody Corbett (R)X100.00414545456239394145414145433230050440
10Thomas Schemitsch (R)X100.00414343436940404143414143423230050440
11Jerome Gauthier-Leduc (R)X100.00394343435437373943393943413230050420
12Dysin Mayo (R)X100.00353737376335353537353537363230050390
MOYENNE D'ÉQUIPE99.9747416356664438384238385444373405047
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Igor Bobkov (R)100.0041434192403939393939383230050450
2Niklas Treutle100.0043454368424141414159583532050450
Rayé
1Nick Ellis (R)100.0045454565454545454545453230050460
2Colin Stevens (R)100.0044454463444343434343423230050440
3Allen York100.0044434569433639423333333532050420
4Linus Soderstrom (R)100.0038403869373636363636353230050400
MOYENNE D'ÉQUIPE100.004344437142404141404342333105044
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher63848696777480QUE462500,000$


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOS GP 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
1Christian ThomasManchots (Pit)RW82244973-52210531161914515012.57%20139016.961015254624500021080348.43%15900001.0500011435
2David RundbladManchots (Pit)D82194261-3254077116120447915.83%118180121.97814226925102232391033.33%300000.6800000224
3Josh JoorisManchots (Pit)C/LW/RW8225335825001042031875913813.37%13129715.82235623101103013266.76%150100010.8900000334
4Cody FransonPittsburghD69124456-424407072112457010.71%87152722.1381927702120001215300.00%000000.7312000112
5Colby CaveManchots (Pit)C/LW82213051-3426101061671384211815.22%18154218.81811193925801151850150.18%166600010.6639001332
6Turner ElsonManchots (Pit)LW82192645-51002581156418212.18%26147818.03412163225200072814040.74%8100000.6137000114
7Jack RodewaldManchots (Pit)RW82172744-344959585135429112.59%16126915.487111835239000032038.81%6700000.6902010210
8John GilmourManchots (Pit)D82113041-335206577147431127.48%83163719.975192484255000214622100.00%100000.5000000143
9Andrew MangiapaneManchots (Pit)LW78142034-331605667113368312.39%21139617.903912262480001851061.11%10800010.4918000340
10Ben HarpurManchots (Pit)D5792130-2290201215356235016.07%65120921.226915271720001152000.00%000000.5001004111
11Dakota MermisManchots (Pit)D8271724-13200536451132313.73%78131316.022461140000051300.00%000000.3700000100
12Gabriel GagneManchots (Pit)C/RW8291524-347325846759174915.25%9118514.4635814243000061148.83%115300000.4015122030
13Carson SoucyManchots (Pit)D8261622-158001356051294111.76%104150418.3442620760001231000.00%000000.2900000011
14Daniil TarasovManchots (Pit)LW/RW7351318-264061018025566.25%882711.33022512000060142.86%4200000.4411000101
15Curtis HamiltonManchots (Pit)LW829716-254551186688203910.23%17110713.51202115110151571051.56%6400000.2900001200
16Kurtis GabrielManchots (Pit)RW5641216-27731591515819556.90%859410.6100012000010159.09%2200000.5400012010
17Mitch MorozManchots (Pit)LW827815-25180293448103314.58%288610.8100002000020148.84%4300000.3400000000
18Zach NastasiukManchots (Pit)C/RW826612-285115487548133412.50%6100812.3010161020000281145.72%79400000.2400003200
19Anthony PelusoManchots (Pit)RW307411-116028255363413.21%732810.9600002000001155.56%1800000.6700000124
20Jay McClementManchots (Pit)C954961952142321421.74%311312.62000000001151068.80%12500001.5800001100
21Alex LintuniemiManchots (Pit)D38235-863544581625.00%2975619.911013100000096000.00%000000.1300001000
Stats d'équipe Total ou en Moyenne1476238427665-434875115141015991922575135712.38%7382417516.38741352095052796235392316241453.86%584700030.5510351516293031
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Igor BobkovManchots (Pit)47182130.8703.5324822014611200120.44494318010
2Linus SoderstromManchots (Pit)196820.8543.9798200654450000.72711165001
3Niklas TreutleManchots (Pit)203910.8913.5787500524750400.50041139100
4Allen YorkManchots (Pit)20200.8483.53119007460000.000020000
5Colin StevensManchots (Pit)60400.8245.2220700181020000.0000411000
6Nick EllisManchots (Pit)60230.8624.3330500221590000.7001069000
Stats d'équipe Total ou en Moyenne100274690.8683.7449722031023470520.618348282111


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam HelewkaManchots (Pit)LW221995-07-21Yes200 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Alex LintuniemiManchots (Pit)D221995-09-23Yes231 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm693,000$69,300$0$NoLien
Allen YorkManchots (Pit)G281989-06-17No188 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm700,000$70,000$0$NoLien
Andrei LoktionovManchots (Pit)C271990-05-30No190 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm541,722$54,172$0$NoLien
Andrew MangiapaneManchots (Pit)LW211996-04-04No184 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Anthony PelusoManchots (Pit)RW281989-04-18No225 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm875,000$87,500$0$NoLien
Ben HarpurManchots (Pit)D221995-01-12Yes222 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm655,000$65,500$0$NoLien
Cameron DarcyManchots (Pit)C231994-05-02Yes192 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm625,000$62,500$0$NoLien
Cameron GaunceManchots (Pit)D271990-03-19No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm725,000$72,500$0$NoLien
Carson SoucyManchots (Pit)D231994-07-27Yes208 Lbs6 ft5YesNoNo6Avec RestrictionPro & Farm995,001$99,500$0$NoLien
Christian ThomasManchots (Pit)RW251992-05-26No175 Lbs5 ft9YesNoNo3Avec RestrictionPro & Farm675,000$67,500$0$NoLien
Cody CorbettManchots (Pit)D231993-12-14Yes194 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm625,000$62,500$0$NoLien
Colby CaveManchots (Pit)C/LW221994-12-26Yes200 Lbs6 ft1YesNoNo6Avec RestrictionPro & Farm935,000$93,500$0$NoLien
Colin StevensManchots (Pit)G241993-06-30Yes175 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Curtis HamiltonManchots (Pit)LW251991-12-04No212 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm675,000$67,500$0$NoLien
Dakota MermisManchots (Pit)D231994-01-05Yes195 Lbs6 ft0YesNoNo6Avec RestrictionPro & Farm655,000$65,500$0$NoLien
Daniil TarasovManchots (Pit)LW/RW261991-06-20No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
David RundbladManchots (Pit)D261990-10-08No187 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm675,000$67,500$0$NoLien
Dylan SadowyManchots (Pit)LW/RW211996-04-02Yes183 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Dysin MayoManchots (Pit)D211996-08-17Yes194 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Gabriel GagneManchots (Pit)C/RW201996-11-11Yes186 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Igor BobkovManchots (Pit)G261991-01-02Yes235 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Jack RodewaldManchots (Pit)RW231994-02-14Yes189 Lbs6 ft2YesNoNo6Avec RestrictionPro & Farm706,000$70,600$0$NoLien
Jay McClementManchots (Pit)C341983-03-02No205 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm1,000,000$100,000$0$NoLien
Jerome Gauthier-LeducManchots (Pit)D251992-07-30Yes176 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
John GilmourManchots (Pit)D241993-05-17Yes195 Lbs6 ft0YesNoNo6Avec RestrictionPro & Farm1,251,000$125,100$0$NoLien
Josh JoorisManchots (Pit)C/LW/RW271990-07-14No197 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Kurtis GabrielManchots (Pit)RW241993-04-20No211 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Linus SoderstromManchots (Pit)G211996-08-23Yes187 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Mitch MorozManchots (Pit)LW231994-05-03Yes208 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Nick EllisManchots (Pit)G231994-01-18Yes180 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Niklas TreutleManchots (Pit)G261991-04-29No185 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm800,000$80,000$0$NoLien
Richard NejezchlebManchots (Pit)LW/RW231994-05-02Yes203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Thomas SchemitschManchots (Pit)D201996-10-26Yes206 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Turner ElsonManchots (Pit)LW251992-09-13No195 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm895,000$89,500$0$NoLien
Zach NastasiukManchots (Pit)C/RW221995-03-30Yes190 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm642,000$64,200$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3624.03197 Lbs6 ft22.86734,548$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniil TarasovColby CaveJack Rodewald33122
2Turner ElsonJosh JoorisChristian Thomas28122
3Curtis HamiltonGabriel GagneKurtis Gabriel22122
4Mitch MorozZach NastasiukAnthony Peluso17122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex LintuniemiDavid Rundblad40122
2John Gilmour30122
3Carson SoucyDakota Mermis20122
4David RundbladAlex Lintuniemi10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniil TarasovColby CaveChristian Thomas60122
2Turner ElsonGabriel GagneJack Rodewald40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1John GilmourDavid Rundblad60122
2Alex Lintuniemi40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Josh JoorisTurner Elson60122
2Colby CaveCurtis Hamilton40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carson Soucy60122
2Alex LintuniemiDavid Rundblad40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Josh Jooris60122Carson SoucyDavid Rundblad60122
2Turner Elson40122Alex Lintuniemi40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel GagneChristian Thomas60122
2Josh JoorisDaniil Tarasov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1David Rundblad60122
2John GilmourAlex Lintuniemi40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniil TarasovGabriel GagneChristian ThomasJohn GilmourDavid Rundblad
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Turner ElsonJosh JoorisAnthony PelusoCarson Soucy
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Thomas, Daniil Tarasov, Colby CaveZach Nastasiuk, Curtis HamiltonChristian Thomas
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Rundblad, , Alex LintuniemiAlex LintuniemiJohn Gilmour,
Tirs de Pénalité
Daniil Tarasov, Colby Cave, Turner Elson, Gabriel Gagne, Jack Rodewald
Gardien
#1 : Igor Bobkov, #2 : Niklas Treutle


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe 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
1Admirals20200000710-31010000056-11010000024-200.00071421008877691443634640620636419264310220.00%8362.50%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
2Baby Hawks2020000048-41010000034-11010000014-300.000481200887769143163464062063542021336233.33%7271.43%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
3Bears41200001916-7210000018712020000019-830.3759142300887769141036346406206310752457314321.43%20385.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
4Bruins30300000411-72020000036-31010000015-400.000461000887769144163464062063701327577114.29%11372.73%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
5Cabaret Lady Mary Ann311001001214-2210001009811010000036-330.50012203200887769141036346406206311233447216637.50%12283.33%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
6Caroline411000021516-12010000179-22100000187140.50015294400887769141196346406206312435805420840.00%240100.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
7Chiefs2020000049-51010000024-21010000025-300.000471100887769143063464062063752616295240.00%8275.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
8Chill211000006601010000013-21100000053220.500610161088776914346346406206335718355120.00%9277.78%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
9Comets2020000069-31010000034-11010000035-200.0006101600887769143463464062063392133329111.11%8275.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
10Cougars30200010916-720100010810-21010000016-520.333916250088776914726346406206310932304613430.77%12375.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
11Crunch31101000151411010000048-421001000116540.667152843008877691482634640620637320174817741.18%5180.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
12Heat22000000853110000005321100000032141.0008152300887769143863464062063491818356116.67%9188.89%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
13Jayhawks20200000513-81010000046-21010000017-600.000581300887769143163464062063661920295120.00%10190.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
14Las Vegas2110000068-2110000003211010000036-320.5006111700887769145063464062063541524329111.11%11554.55%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
15Marlies30200001814-61000000134-120200000510-510.167814220088776914626346406206311228474916318.75%16287.50%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
16Minnesota2020000068-21010000034-11010000034-100.000691500887769144263464062063461616353133.33%8275.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
17Monarchs20100010810-2100000106511010000025-320.50081220008877691468634640620637222273911436.36%10280.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
18Monsters413000001012-2211000004402020000068-220.2501020300088776914110634640620631242434652000.00%16193.75%11198225753.08%1211222354.48%740137054.01%1980130618766361126567
19Monsters20200000410-61010000014-31010000036-300.000481200887769143363464062063652925308112.50%10190.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
20Oceanics2020000037-41010000013-21010000024-200.00034700887769142663464062063561618295120.00%90100.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
21Oil Kings20002000532100010002111000100032141.0005101500887769145163464062063261320326116.67%9277.78%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
22Phantoms4120001010100211000006512010001045-140.500101424008877691482634640620637736306611218.18%15380.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
23Rocket320010001174110000005322100100064261.00011213200887769147763464062063812423421600.00%9277.78%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
24Senators311000011112-1110000005412010000168-230.500112132008877691463634640620637228244413430.77%100100.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
25Sharks20100100711-41000010056-11010000025-310.2507121900887769146363464062063751921468225.00%8362.50%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
26Sound Tigers4200010112120210000016602100010066060.75012213300887769141006346406206311629346417317.65%17382.35%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
27Spiders41300000914-52020000039-62110000065120.2509152410887769141036346406206313847357820420.00%14471.43%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
28Stars211000006511010000023-11100000042220.5006111700887769143863464062063461550288112.50%80100.00%11198225753.08%1211222354.48%740137054.01%1980130618766361126567
29Thunder31200000411-72110000048-41010000003-320.333481200887769145563464062063702027551715.88%11463.64%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
Total82204604336241318-7741112101224129160-314192503112112158-46630.3842414276682088776914192263464062063234973887914103387421.89%3366281.55%21198225753.08%1211222354.48%740137054.01%1980130618766361126567
31Wolf Pack422000001717021100000811-32110000096340.50017314800887769141386346406206314242299017635.29%12375.00%01198225753.08%1211222354.48%740137054.01%1980130618766361126567
_Since Last GM Reset82204604336241318-7741112101224129160-314192503112112158-46630.3842414276682088776914192263464062063234973887914103387421.89%3366281.55%21198225753.08%1211222354.48%740137054.01%1980130618766361126567
_Vs Conference46112700224125173-4823711001136887-1923416001115786-29320.348125216341208877691410916346406206313304024428331913719.37%1863680.65%11198225753.08%1211222354.48%740137054.01%1980130618766361126567

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8263L124142766819222349738879141020
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8220464336241318
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4111211224129160
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
419253112112158
Derniers 10 Matchs
WLOTWOTL SOWSOL
540001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3387421.89%3366281.55%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
6346406206388776914
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
1198225753.08%1211222354.48%740137054.01%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1980130618766361126567


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-10-047Bears1Manchots3WSommaire du Match
4 - 2018-10-0623Rocket3Manchots5WSommaire du Match
9 - 2018-10-1150Las Vegas2Manchots3WSommaire du Match
11 - 2018-10-1362Manchots4Rocket3WXSommaire du Match
14 - 2018-10-1681Comets4Manchots3LSommaire du Match
16 - 2018-10-1890Manchots2Marlies4LSommaire du Match
21 - 2018-10-23129Manchots3Oil Kings2WXSommaire du Match
23 - 2018-10-25141Manchots3Heat2WSommaire du Match
25 - 2018-10-27158Manchots3Comets5LSommaire du Match
28 - 2018-10-30168Sound Tigers5Manchots4LXXSommaire du Match
30 - 2018-11-01181Manchots2Sound Tigers3LXSommaire du Match
32 - 2018-11-03199Marlies4Manchots3LXXSommaire du Match
34 - 2018-11-05212Spiders3Manchots1LSommaire du Match
36 - 2018-11-07224Manchots0Bears2LSommaire du Match
39 - 2018-11-10249Jayhawks6Manchots4LSommaire du Match
42 - 2018-11-13265Manchots3Spiders1WSommaire du Match
44 - 2018-11-15279Thunder5Manchots0LSommaire du Match
46 - 2018-11-17296Manchots3Senators4LSommaire du Match
48 - 2018-11-19310Crunch8Manchots4LSommaire du Match
50 - 2018-11-21321Stars3Manchots2LSommaire du Match
52 - 2018-11-23340Manchots1Bruins5LSommaire du Match
53 - 2018-11-24354Monsters2Manchots1LSommaire du Match
56 - 2018-11-27373Manchots2Oceanics4LSommaire du Match
57 - 2018-11-28381Manchots3Monsters6LSommaire du Match
60 - 2018-12-01403Phantoms4Manchots2LSommaire du Match
63 - 2018-12-04419Monsters4Manchots1LSommaire du Match
65 - 2018-12-06432Sound Tigers1Manchots2WSommaire du Match
67 - 2018-12-08447Manchots3Senators4LXXSommaire du Match
69 - 2018-12-10461Manchots4Sound Tigers3WSommaire du Match
71 - 2018-12-12476Manchots1Baby Hawks4LSommaire du Match
73 - 2018-12-14489Bruins4Manchots2LSommaire du Match
74 - 2018-12-15499Monarchs5Manchots6WXXSommaire du Match
76 - 2018-12-17512Admirals6Manchots5LSommaire du Match
78 - 2018-12-19528Manchots1Bears7LSommaire du Match
79 - 2018-12-20533Minnesota4Manchots3LSommaire du Match
81 - 2018-12-22555Manchots5Caroline3WSommaire du Match
86 - 2018-12-27569Cougars5Manchots2LSommaire du Match
88 - 2018-12-29592Manchots2Chiefs5LSommaire du Match
90 - 2018-12-31601Manchots3Minnesota4LSommaire du Match
92 - 2019-01-02617Manchots2Wolf Pack4LSommaire du Match
94 - 2019-01-04629Oceanics3Manchots1LSommaire du Match
96 - 2019-01-06651Baby Hawks4Manchots3LSommaire du Match
98 - 2019-01-08660Cabaret Lady Mary Ann4Manchots3LXSommaire du Match
101 - 2019-01-11686Manchots2Admirals4LSommaire du Match
102 - 2019-01-12698Manchots2Monarchs5LSommaire du Match
105 - 2019-01-15720Manchots2Sharks5LSommaire du Match
108 - 2019-01-18738Manchots1Jayhawks7LSommaire du Match
109 - 2019-01-19749Manchots3Las Vegas6LSommaire du Match
118 - 2019-01-28772Spiders6Manchots2LSommaire du Match
120 - 2019-01-30776Thunder3Manchots4WSommaire du Match
122 - 2019-02-01784Senators4Manchots5WSommaire du Match
123 - 2019-02-02792Manchots3Marlies6LSommaire du Match
126 - 2019-02-05813Caroline5Manchots4LXXSommaire du Match
128 - 2019-02-07824Manchots3Cabaret Lady Mary Ann6LSommaire du Match
130 - 2019-02-09848Manchots0Thunder3LSommaire du Match
132 - 2019-02-11860Manchots4Phantoms3WXXSommaire du Match
134 - 2019-02-13875Oil Kings1Manchots2WXSommaire du Match
137 - 2019-02-16893Heat3Manchots5WSommaire du Match
138 - 2019-02-17904Wolf Pack3Manchots4WSommaire du Match
140 - 2019-02-19917Manchots3Spiders4LSommaire du Match
142 - 2019-02-21933Sharks6Manchots5LXSommaire du Match
144 - 2019-02-23953Manchots0Phantoms2LSommaire du Match
147 - 2019-02-26973Manchots2Monsters3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2019-03-01991Manchots4Crunch3WXSommaire du Match
151 - 2019-03-021003Manchots2Rocket1WSommaire du Match
154 - 2019-03-051022Cabaret Lady Mary Ann4Manchots6WSommaire du Match
156 - 2019-03-071034Monsters2Manchots3WSommaire du Match
158 - 2019-03-091055Manchots4Monsters5LSommaire du Match
159 - 2019-03-101062Bruins2Manchots1LSommaire du Match
161 - 2019-03-121073Bears6Manchots5LXXSommaire du Match
163 - 2019-03-141083Manchots7Crunch3WSommaire du Match
165 - 2019-03-161099Chiefs4Manchots2LSommaire du Match
166 - 2019-03-171115Phantoms1Manchots4WSommaire du Match
168 - 2019-03-191126Manchots3Caroline4LXXSommaire du Match
170 - 2019-03-211141Manchots5Chill3WSommaire du Match
172 - 2019-03-231160Manchots4Stars2WSommaire du Match
174 - 2019-03-251171Manchots7Wolf Pack2WSommaire du Match
178 - 2019-03-291198Chill3Manchots1LSommaire du Match
180 - 2019-03-311217Caroline4Manchots3LSommaire du Match
182 - 2019-04-021233Manchots1Cougars6LSommaire du Match
184 - 2019-04-041245Cougars5Manchots6WXXSommaire du Match
186 - 2019-04-061264Wolf Pack8Manchots4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna17501250
Prix des Billets3520
Assistance53,46438,128
Assistance PCT74.51%74.40%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2234 - 74.47% 64,239$2,633,800$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,749,314$ 2,644,372$ 2,644,372$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
14,141$ 2,749,314$ 36 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 14,141$ 0$




LigueDomicileVisiteur
Année 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
201882204604336241318-7741112101224129160-314192503112112158-46632414276682088776914192263464062063234973887914103387421.89%3366281.55%21198225753.08%1211222354.48%740137054.01%1980130618766361126567
Total Saison Régulière82204604336241318-7741112101224129160-314192503112112158-46632414276682088776914192263464062063234973887914103387421.89%3366281.55%21198225753.08%1211222354.48%740137054.01%1980130618766361126567