Manchots

DG: Guy Sanscartier Morale : 21 Moyenne d'Équipe : 47
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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
1Michael BlundenXX100.00603559677653375135445857485349024540
2Craig CunninghamXXX100.00553591735655384554444668484136043530
3Anthony PelusoX100.00706164648449454535444658484138027520
4T.J. GaliardiXX100.00563593655950414035364467475043042500
5Turner ElsonXX100.00533595696657353735383569483532039490
6Kurtis GabrielX100.00685036647445353535353558483532046470
7Mitch Moroz (R)X100.00454545457245454545454545453230040460
8Zach Nastasiuk (R)XX100.00454545456345454545454545453230045450
9Dylan Sadowy (R)X100.00434343435643434343434343433230042440
10Mark OlverXX100.00327446494933483335333355474136022420
11Gemel Smith (R)XX100.00404040404640404040404040403230042410
12Scott TimminsX100.00408733336233453335333333473734023370
13Ryan StantonX100.00614378636460444835484769484138020560
14Ryan Wilson (C)X100.00633585596955354335473769475143034550
15Steve OleksyX100.00604362656150344635474367474237020540
16Ben Harpur (R)X100.00513585607650354035483265483532025520
17Alex GrantX100.00564364646850353135303272483532020520
18Alex Lintuniemi (R)X100.00454545457945454545454545453230020460
Rayé
1Pascal DupuisXX100.00573581667172475947536569458072027610
2Richard Nejezchleb (R)XX100.00373737377137373737373737373230020400
3Cameron Darcy (R)X100.00373737376437373737373737373230019390
4Joonas NattinenX100.00328535356633363335333335473532020370
5Brett BellemoreX100.00845680617759544335434376474036017590
6Joel Edmundson (R)X100.00805074636952494135414168483734038560
7Cody Corbett (R)X100.00454545456245454545454545453230020450
8Jerome Gauthier-Leduc (R)X100.00434343435443434343434343433230020430
9Cameron GaunceX100.00398535356933483335333335473734020390
MOYENNE D'ÉQUIPE100.0052485853664742413941415446393602948
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
1Niklas Treutle100.0045454568454545454565703532019470
2Allen York100.0046434769464043463736353532017440
Rayé
1Spencer Martin (R)100.0043434374434343434343433230017450
2Linus Soderstrom (R)100.0040404069404040404040403230017420
MOYENNE D'ÉQUIPE100.004443447044424344414647343101845
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher40404040716950CAN444500,000$


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
1Craig CunninghamManchots (Pit)C/LW/RW82294877-18195522432410012.03%38165420.171326397628200073611052.99%165500000.93411001235
2Michael BlundenManchots (Pit)LW/RW76383876-88751451082460015.45%12132717.47101929582570003754146.06%16500021.1518000655
3Anthony PelusoManchots (Pit)RW81233255-1615840203831530015.03%9133316.46512173026600021041147.52%10100000.8249233125
4Ryan WilsonManchots (Pit)D73203050-32535121881270015.75%119161322.11141428852400002247310.00%000010.6200000342
5T.J. GaliardiManchots (Pit)C/LW82222547-25160151481920011.46%22128115.63336249400062233044.08%121600000.7301000251
6Ryan StantonManchots (Pit)D55122941-1546079671050011.43%70119721.7681018641890000172000.00%000000.6900000112
7Ben HarpurManchots (Pit)D6573239-262202967560012.50%99126719.5141115281580000223000.00%000100.6200000012
8Zach NastasiukManchots (Pit)C/RW82171734-34315122531070015.89%7128215.64411152324201131114050.93%32200000.5302003424
9Joel EdmundsonManchots (Pit)D6162430-18118201435779007.59%67117319.23459351070112173100.00%000000.5100101101
10Turner ElsonManchots (Pit)C/LW82111526-3011518125143007.69%26131116.00022168301183021146.82%34600000.4000010011
11Steve OleksyManchots (Pit)D3861622-203807642500012.00%4274419.6035834132000083010.00%000000.5900000010
12Kurtis GabrielManchots (Pit)RW8291120-311324025980133006.77%12109913.412572520011241232033.73%8300000.3612224101
13Alex GrantManchots (Pit)D5051419-1766107756330015.15%6389517.920226330000163000.00%000000.4200011012
14Alex LintuniemiManchots (Pit)D5981018-16101258712250032.00%24113419.24641014166101187000.00%000000.3200212000
15Mitch MorozManchots (Pit)LW8261218-355810603279007.59%3112413.7114581310001680246.67%7500000.3224002100
16Dylan SadowyManchots (Pit)LW827714-283404825590011.86%993211.372138133000092053.33%7500000.3000000011
17Gemel SmithManchots (Pit)C/LW824812-233607067340011.76%788810.841011120000140040.33%85800000.2700000001
18Cody CorbettManchots (Pit)D2918922605016100010.00%1950217.34022123000085000.00%000000.3600000000
19Mark OlverManchots (Pit)C/LW52257-83230162326007.69%757911.150004190001100033.61%23800000.2401204010
20Richard NejezchlebManchots (Pit)LW/RW38224-144096140014.29%13589.4300007000000058.82%1700000.2200000000
21Jerome Gauthier-LeducManchots (Pit)D13123-46014630033.33%423518.12123135000040000.00%000000.2500000000
22Brett BellemoreManchots (Pit)D3022-1201253000.00%76421.4600012000011000.00%000000.6200000000
23Cameron DarcyManchots (Pit)C36112-640213440025.00%253114.780002740000450042.78%54000000.0812000000
24Scott TimminsManchots (Pit)C31022-1149359262000.00%032910.630000240000130043.59%31200000.1200205000
25Joonas NattinenManchots (Pit)C5022055050000.00%0489.7900000000000043.18%4400000.8200010000
Stats d'équipe Total ou en Moyenne1421237392629-40311662501735147419240012.32%6692291316.1381138219544291824640275322746.11%604700130.55134011926222833
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
1Spencer MartinManchots (Pit)2891110.8484.42119620885780000.75042326010
2Linus SoderstromManchots (Pit)2471320.8684.14127500886670510.0002229000
3Niklas TreutleManchots (Pit)3661580.8803.581945001169650000.462262832110
4Allen YorkManchots (Pit)133430.8694.0256700382900000.50012915000
Stats d'équipe Total ou en Moyenne1012543140.8683.9749842033025000510.477448282120


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Alex GrantManchots (Pit)D261989-01-20No205 Lbs6 ft4NoNo2Avec RestrictionPro & Farm550,000$550,000$Lien
Alex LintuniemiManchots (Pit)D201995-09-23Yes231 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm693,000$693,000$693,000$693,000$Lien
Allen YorkManchots (Pit)G261989-06-17No188 Lbs6 ft3NoNo3Avec RestrictionPro & Farm700,000$700,000$700,000$Lien
Anthony PelusoManchots (Pit)RW261989-04-18No235 Lbs6 ft3NoNo1Avec RestrictionPro & Farm875,000$Lien
Ben HarpurManchots (Pit)D201995-01-12Yes222 Lbs6 ft6NoNo4Contrat d'EntréePro & Farm655,000$655,000$655,000$655,000$Lien
Brett BellemoreManchots (Pit)D271988-06-25No225 Lbs6 ft4NoNo1Avec RestrictionPro & Farm700,000$Lien
Cameron DarcyManchots (Pit)C211994-05-02Yes192 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm625,000$625,000$625,000$625,000$Lien
Cameron GaunceManchots (Pit)D251990-03-19No210 Lbs6 ft1NoNo3Avec RestrictionPro & Farm725,000$725,000$725,000$Lien
Cody CorbettManchots (Pit)D211993-12-14Yes194 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm625,000$625,000$625,000$625,000$Lien
Craig CunninghamManchots (Pit)C/LW/RW251990-09-13No184 Lbs5 ft10NoNo2Avec RestrictionPro & Farm640,000$640,000$Lien
Dylan SadowyManchots (Pit)LW191996-04-02Yes183 Lbs5 ft11NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Gemel SmithManchots (Pit)C/LW211994-04-16Yes164 Lbs5 ft10NoNo4Contrat d'EntréePro & Farm645,000$645,000$645,000$645,000$Lien
Jerome Gauthier-LeducManchots (Pit)D231992-07-30Yes176 Lbs6 ft1NoNo4Avec RestrictionPro & Farm700,000$700,000$700,000$700,000$Lien
Joel EdmundsonManchots (Pit)D221993-06-28Yes207 Lbs6 ft4NoNo4Avec RestrictionPro & Farm868,000$868,000$868,000$868,000$Lien
Joonas NattinenManchots (Pit)C241991-01-03No192 Lbs6 ft3NoNo2Avec RestrictionPro & Farm640,000$640,000$Lien
Kurtis GabrielManchots (Pit)RW221993-04-20No212 Lbs6 ft4NoNo4Avec RestrictionPro & Farm650,000$650,000$650,000$650,000$Lien
Linus SoderstromManchots (Pit)G191996-08-23Yes187 Lbs6 ft3NoNo4Contrat d'EntréePro & Farm650,000$650,000$650,000$650,000$Lien
Mark OlverManchots (Pit)C/LW271988-01-01No170 Lbs5 ft10NoNo3Avec RestrictionPro & Farm625,000$625,000$625,000$Lien
Michael BlundenManchots (Pit)LW/RW281986-12-15No217 Lbs6 ft4NoNo2Avec RestrictionPro & Farm750,000$750,000$Lien
Mitch MorozManchots (Pit)LW211994-05-03Yes208 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm825,000$825,000$825,000$825,000$Lien
Niklas TreutleManchots (Pit)G241991-04-29No185 Lbs6 ft2YesNo5Avec RestrictionPro & Farm800,000$800,000$800,000$800,000$800,000$Lien
Pascal DupuisManchots (Pit)LW/RW361979-04-07No205 Lbs6 ft1YesNo2Sans RestrictionPro & Farm5,000,001$5,000,001$Lien
Richard NejezchlebManchots (Pit)LW/RW211994-05-02Yes203 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm525,000$525,000$525,000$525,000$Lien
Ryan StantonManchots (Pit)D261989-07-20No196 Lbs6 ft2YesNo1Avec RestrictionPro & Farm675,000$Lien
Ryan WilsonManchots (Pit)D281987-02-03No210 Lbs6 ft1NoNo2Avec RestrictionPro & Farm1,150,000$1,200,000$Lien
Scott TimminsManchots (Pit)C261989-09-11No191 Lbs5 ft11NoNo3Avec RestrictionPro & Farm500,000$500,000$500,000$Lien
Spencer MartinManchots (Pit)G201995-06-08Yes198 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm693,000$693,000$693,000$693,000$Lien
Steve OleksyManchots (Pit)D291986-02-04No190 Lbs6 ft0NoNo1Avec RestrictionPro & Farm560,000$Lien
T.J. GaliardiManchots (Pit)C/LW271988-04-22No185 Lbs6 ft2NoNo1Avec RestrictionPro & Farm800,000$Lien
Turner ElsonManchots (Pit)C/LW231992-09-13No195 Lbs6 ft0YesNo5Avec RestrictionPro & Farm895,000$895,000$895,000$895,000$895,000$Lien
Zach NastasiukManchots (Pit)C/RW201995-03-30Yes190 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm642,000$642,000$642,000$642,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3123.97198 Lbs6 ft23.06841,323$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Turner ElsonCraig Cunningham33122
2Mitch MorozT.J. GaliardiAnthony Peluso26122
3Mark OlverGemel SmithZach Nastasiuk22122
4Dylan SadowyScott TimminsKurtis Gabriel19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan WilsonAlex Lintuniemi40122
2Ryan StantonAlex Grant30122
3Steve OleksyBen Harpur20122
4Ryan StantonAlex Lintuniemi10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Craig CunninghamAnthony Peluso60122
2Dylan SadowyZach NastasiukKurtis Gabriel40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan WilsonSteve Oleksy60122
2Ryan StantonAlex Lintuniemi40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Craig CunninghamTurner Elson60122
2T.J. GaliardiKurtis Gabriel40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben HarpurAlex Grant60122
2Ryan StantonRyan Wilson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Craig Cunningham60122Ben HarpurAlex Grant60122
2Turner Elson40122Ryan StantonRyan Wilson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Craig CunninghamAnthony Peluso60122
2Zach Nastasiuk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan WilsonSteve Oleksy60122
2Ryan StantonAlex Grant40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Craig CunninghamAnthony PelusoAlex LintuniemiRyan Wilson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Turner ElsonCraig CunninghamKurtis GabrielBen HarpurAlex Grant
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Turner Elson, Mitch Moroz, Zach NastasiukTurner Elson, Anthony PelusoZach Nastasiuk
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Stanton, Steve Oleksy, Ryan WilsonRyan StantonRyan Wilson, Steve Oleksy
Tirs de Pénalité
Anthony Peluso, Craig Cunningham, Mitch Moroz, Zach Nastasiuk, Dylan Sadowy
Gardien
#1 : Allen York, #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
Admirals20100001611-51000000123-11010000048-410.25061016001067968146068864068967671725521218.33%5260.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Falcons413000001317-421100000101002020000037-420.250132336001067968141016886406896712037528216531.25%24579.17%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Bruins321000008802110000057-21100000031240.667815230010679681460688640689678122448013538.46%17194.12%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Crunch30200001712-51000000134-12020000048-410.1677132000106796814756886406896787323864900.00%14285.71%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Heat201000108801010000034-11000001054120.5008142200106796814356886406896748726486116.67%12283.33%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Phantoms413000001217-52110000065120200000612-620.25012193110106796814986886406896710627519020630.00%23769.57%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Baby Hawks20200000610-41010000024-21010000046-200.000610160010679681460688640689676316353713215.38%10280.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Monsters20200000610-41010000034-11010000036-300.000612180010679681440688640689676714522612433.33%10370.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Jayhawks22000000853110000004311100000042241.00081422001067968144468864068967611635576350.00%11190.91%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Cougars30300000712-52020000058-31010000024-200.00071017001067968145968864068967993090481218.33%18383.33%11070233745.79%1166246547.30%674143946.84%1916125119636471112559
Oil Kings211000008801010000056-11100000032120.50081321001067968146168864068967472335388337.50%15660.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Sound Tigers412000011018-82110000059-42010000159-430.375101727001067968148968864068967131505610915533.33%23578.26%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Monarchs2010001067-1100000103211010000035-220.500691500106796814426886406896766132846700.00%13376.92%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Minnesota220000001165110000005231100000064241.000111930001067968147368864068967701940456116.67%10280.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Spiders50400100526-2130200100412-820200000114-1310.10051015001067968141016886406896718246681032229.09%22577.27%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Senators311001001113-21100000032120100100811-330.5001118290010679681465688640689679126376019526.32%16381.25%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Wolf Pack5310010024213220000001174311001001314-170.70024416500106796814189688640689671765769132311238.71%23386.96%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Sharks2000000257-21000000134-11000000123-120.5005914001067968145468864068967572433489111.11%9188.89%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Chiefs20200000511-61010000024-21010000037-400.00058130010679681432688640689675313144410330.00%7271.43%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Thunder321000001091211000008801100000021140.6671018280010679681482688640689679231455314214.29%15286.67%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Marlies311000011012-2110000005322010000159-430.5001016260010679681476688640689678216477412325.00%21385.71%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Comets20200000412-81010000025-31010000027-500.0004590010679681454688640689676514244810110.00%9277.78%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Cabaret Lady Mary Ann321000001613321100000111011100000053240.667162945001067968141136886406896710036298916743.75%12191.67%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
IceCaps2020000014-31010000002-21010000012-100.000123001067968142868864068967601645381300.00%15193.33%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Chill20200000512-71010000036-31010000026-400.0005914001067968143968864068967652126451000.00%13376.92%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Rocket3200010013121110000004312100010099050.8331322350010679681479688640689677222476219210.53%15380.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Bears4110001114140210000019812010001056-150.6251425390010679681494688640689679920579416425.00%20385.00%11070233745.79%1166246547.30%674143946.84%1916125119636471112559
Caroline402000021016-62010000157-22010000159-420.25010152500106796814886886406896712633538323521.74%24483.33%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Las Vegas20100001710-31000000145-11010000035-210.250710170010679681448688640689676816523211327.27%10280.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Vs Conference45122300325130184-542399001137285-1322314002125899-41360.40013022535510106796814110268864068967139340763610322174822.12%2384481.51%11070233745.79%1166246547.30%674143946.84%1916125119636471112559
Since Last GM Reset822243004310256341-8541141900116135157-224182400324121184-63640.390256435691101067968142039688640689672501714125318273908722.31%4368281.19%21070233745.79%1166246547.30%674143946.84%1916125119636471112559
Total822243004310256341-8541141900116135157-224182400324121184-63640.390256435691101067968142039688640689672501714125318273908722.31%4368281.19%21070233745.79%1166246547.30%674143946.84%1916125119636471112559

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8264W1256435691203925017141253182710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
82224304310256341
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114190116135157
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
418240324121184
Derniers 10 Matchs
WLOTWOTL SOWSOL
260101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3908722.31%4368281.19%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
68864068967106796814
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
1070233745.79%1166246547.30%674143946.84%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1916125119636471112559


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 - 2016-10-1312Bears5Manchots4LXXSommaire du Match
4 - 2016-10-1522Admirals3Manchots2LXXSommaire du Match
6 - 2016-10-1734Monsters4Manchots3LSommaire du Match
7 - 2016-10-1841Manchots3Rocket4LXSommaire du Match
9 - 2016-10-2053Sharks4Manchots3LXXSommaire du Match
11 - 2016-10-2270Manchots3Las Vegas5LSommaire du Match
14 - 2016-10-2586Cabaret Lady Mary Ann5Manchots7WSommaire du Match
16 - 2016-10-27100Sound Tigers3Manchots4WSommaire du Match
18 - 2016-10-29115Manchots4Phantoms8LSommaire du Match
22 - 2016-11-02145Manchots4Admirals8LSommaire du Match
23 - 2016-11-03148Manchots3Monarchs5LSommaire du Match
25 - 2016-11-05173Manchots2Sharks3LXXSommaire du Match
28 - 2016-11-08186Oil Kings6Manchots5LSommaire du Match
30 - 2016-11-10204Minnesota2Manchots5WSommaire du Match
32 - 2016-11-12221Marlies3Manchots5WSommaire du Match
36 - 2016-11-16243Manchots3Bears2WXXSommaire du Match
38 - 2016-11-18255Manchots1Sound Tigers4LSommaire du Match
39 - 2016-11-19268Manchots0Crunch3LSommaire du Match
41 - 2016-11-21277Wolf Pack5Manchots6WSommaire du Match
43 - 2016-11-23290Manchots5Wolf Pack6LXSommaire du Match
45 - 2016-11-25310Manchots6Minnesota4WSommaire du Match
46 - 2016-11-26317Spiders3Manchots2LXSommaire du Match
50 - 2016-11-30343Manchots4Sound Tigers5LXXSommaire du Match
51 - 2016-12-01347Jayhawks3Manchots4WSommaire du Match
53 - 2016-12-03360Cougars5Manchots3LSommaire du Match
55 - 2016-12-05379Senators2Manchots3WSommaire du Match
58 - 2016-12-08400Manchots5Cabaret Lady Mary Ann3WSommaire du Match
60 - 2016-12-10411Manchots2Thunder1WSommaire du Match
62 - 2016-12-12429Chill6Manchots3LSommaire du Match
64 - 2016-12-14442Bruins5Manchots2LSommaire du Match
66 - 2016-12-16453Monarchs2Manchots3WXXSommaire du Match
67 - 2016-12-17462Manchots3Marlies6LSommaire du Match
70 - 2016-12-20483Wolf Pack2Manchots5WSommaire du Match
72 - 2016-12-22497Manchots2Falcons3LSommaire du Match
73 - 2016-12-23511Spiders4Manchots1LSommaire du Match
77 - 2016-12-27517Manchots0Spiders8LSommaire du Match
78 - 2016-12-28528Caroline6Manchots5LXXSommaire du Match
81 - 2016-12-31556Rocket3Manchots4WSommaire du Match
89 - 2017-01-08603Thunder4Manchots3LSommaire du Match
92 - 2017-01-11622Manchots2Bears4LSommaire du Match
93 - 2017-01-12625Manchots4Senators6LSommaire du Match
95 - 2017-01-14644Manchots2Cougars4LSommaire du Match
97 - 2017-01-16661Bears3Manchots5WSommaire du Match
99 - 2017-01-18672Manchots6Rocket5WSommaire du Match
101 - 2017-01-20687Manchots1Caroline4LSommaire du Match
103 - 2017-01-22702Bruins2Manchots3WSommaire du Match
105 - 2017-01-24717Chiefs4Manchots2LSommaire du Match
107 - 2017-01-26738Manchots3Bruins1WSommaire du Match
112 - 2017-01-31748Las Vegas5Manchots4LXXSommaire du Match
115 - 2017-02-03767Falcons2Manchots4WSommaire du Match
116 - 2017-02-04779Manchots3Chiefs7LSommaire du Match
119 - 2017-02-07792Heat4Manchots3LSommaire du Match
121 - 2017-02-09804Manchots3Monsters6LSommaire du Match
123 - 2017-02-11826Manchots2Chill6LSommaire du Match
126 - 2017-02-14837Comets5Manchots2LSommaire du Match
128 - 2017-02-16849IceCaps2Manchots0LSommaire du Match
129 - 2017-02-17855Manchots1Falcons4LSommaire du Match
131 - 2017-02-19878Cougars3Manchots2LSommaire du Match
133 - 2017-02-21884Manchots4Caroline5LXXSommaire du Match
137 - 2017-02-25909Phantoms2Manchots1LSommaire du Match
140 - 2017-02-28933Manchots4Jayhawks2WSommaire du Match
141 - 2017-03-01935Manchots4Baby Hawks6LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2017-03-03948Thunder4Manchots5WSommaire du Match
145 - 2017-03-05964Crunch4Manchots3LXXSommaire du Match
148 - 2017-03-08984Manchots1IceCaps2LSommaire du Match
150 - 2017-03-10999Manchots3Oil Kings2WSommaire du Match
151 - 2017-03-111000Manchots2Comets7LSommaire du Match
153 - 2017-03-131020Manchots5Heat4WXXSommaire du Match
155 - 2017-03-151033Manchots2Phantoms4LSommaire du Match
157 - 2017-03-171050Spiders5Manchots1LSommaire du Match
159 - 2017-03-191067Cabaret Lady Mary Ann5Manchots4LSommaire du Match
161 - 2017-03-211076Manchots4Crunch5LSommaire du Match
163 - 2017-03-231093Manchots4Senators5LXSommaire du Match
164 - 2017-03-241101Sound Tigers6Manchots1LSommaire du Match
166 - 2017-03-261117Phantoms3Manchots5WSommaire du Match
169 - 2017-03-291137Baby Hawks4Manchots2LSommaire du Match
171 - 2017-03-311150Manchots3Wolf Pack4LSommaire du Match
173 - 2017-04-021167Caroline1Manchots0LSommaire du Match
175 - 2017-04-041189Falcons8Manchots6LSommaire du Match
177 - 2017-04-061198Manchots1Spiders6LSommaire du Match
179 - 2017-04-081211Manchots2Marlies3LXXSommaire du Match
180 - 2017-04-091224Manchots5Wolf Pack4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna17501250
Prix des Billets3520
Assistance5266737130
Assistance PCT73.40%72.45%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2190 - 73.01% 63,258$2,593,586$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
7,038,101$ 7,009,101$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
2,950,740$ 38,885$ 2,447,984$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 41,647$ 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
Saison Régulière
2016822243004310256341-8541141900116135157-224182400324121184-6344256435691101067968142039688640689672501714125318273908722.31%4368281.19%21070233745.79%1166246547.30%674143946.84%1916125119636471112559
Total Saison Régulière822243004310256341-8541141900116135157-224182400324121184-6344256435691101067968142039688640689672501714125318273908722.31%4368281.19%21070233745.79%1166246547.30%674143946.84%1916125119636471112559