Manchots

GP: 82 | W: 40 | L: 37 | OTL: 5 | P: 85
GF: 261 | GA: 282 | PP%: 21.39% | PK%: 80.59%
DG: Guy Sanscartier | Morale : 50 | Moyenne d'Équipe : 47
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Colin McDonaldX100.00534383687658384335424463565045050520
2Craig CunninghamXX100.00523590725651354353424468474136050520
3Anthony Peluso (A)X100.00666163638446424335424458474138050510
4Christian ThomasX100.00494385725149344735484460474138050510
5Bryan LergXX100.00473594725251334054334670473532050500
6Daniil Tarasov (R)XX100.00453593695842314039473259463532050480
7Turner ElsonX100.00503594686653333535363369473532050480
8Gabriel GagneXX100.00454545456345454545454545453230050460
9Curtis HamiltonX100.00473530657443313235323261463532050450
10Zach Nastasiuk (R)XX100.00434545456342424345434345443230050440
11Andrew MangiapaneX100.00373737375537373737373737373230050390
12Cameron Darcy (R)X100.00353737376435353537353537363230050380
13Matt GreeneX100.00704377608162414235394573487166050600
14Cameron GaunceX100.00604371646949365035514966484036050550
15David RundbladX100.00573584646061404835514564474543050550
16Ryan StantonX100.00584377626456414635464569474138050550
17Ben Harpur (R)X100.00583592607660353435363267483835050530
18Alex Lintuniemi (R)X100.00434545457942424345434345443230050460
Rayé
1Kurtis Gabriel (R)X100.00646150647448363935433558483734050480
2Mitch Moroz (R)X100.00434545457242424345434345443230050450
3Dylan Sadowy (R)X100.00414343435640404143414143423230050430
4Adam HelewkaX100.00404040406940404040404040403230050420
5Richard Nejezchleb (R)XX100.00353737377135353537353537363230050390
6Scott TimminsX100.00388733336231423235323233463734050370
7Cody Corbett (R)X100.00434545456242424345434345443230050450
8Thomas SchemitschX100.00434343436943434343434343433230050450
9Jerome Gauthier-Leduc (R)X100.00414343435440404143414143423230050430
10Dysin MayoX100.00373737376337373737373737373230050400
MOYENNE D'ÉQUIPE100.0048435954664638414041405345373405047
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 Treutle100.0044454468444343434362603532050460
2Allen York100.0045434669453841443535353532050430
Rayé
MOYENNE D'ÉQUIPE100.004544456945414244394948353205045
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher71696977747472QUE453500,000$


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
1Cameron GaunceManchots (Pit)D82234871-465512175171143213.45%66148418.1014173111531800007920100.00%100000.9600001252
2Christian ThomasManchots (Pit)RW81274067-414066123217112112.44%13137316.95820285329010141314036.99%17300000.9800000342
3Matt GreeneManchots (Pit)D76145165-151001016194123152311.38%87169922.3662127652300001219320.00%000000.7700011431
4David RundbladManchots (Pit)D81184058-11435778615793011.46%68163920.2562026973030001153110.00%000000.7100000514
5Ryan StantonManchots (Pit)D74203151-147810946712591416.00%82152820.6611920772521232183210.00%000000.6700001063
6Craig CunninghamManchots (Pit)LW/RW70222951-1610027119213152910.33%13128218.32712195126011261404050.53%18800000.8002000241
7Bryan LergManchots (Pit)C/LW7520244454014187187122910.70%16113615.163361066022162824355.01%133600000.7700000621
8Michael BlundenPittsburghRW5623194233606057176145113.07%372312.92651128112000033042.86%4200001.1613000303
9Anthony PelusoManchots (Pit)RW81141832-13862017274138172610.14%12108113.35000014000001247.89%7100000.5900013310
10Colin McDonaldManchots (Pit)RW65131831-1827558821387169.42%982112.63291146208000022243.48%4600000.7513001223
11Zach NastasiukManchots (Pit)C/RW82102131-35401561015141119.61%3127015.497916212900000420148.52%135200000.4900000202
12Ben HarpurManchots (Pit)D8292029-253004562594815.25%78157219.184610271260001286210.00%000000.3700000121
13Daniil TarasovManchots (Pit)LW/RW8182028-2610024641074137.48%12108313.383912372830001461043.24%7400000.5200000011
14Turner ElsonManchots (Pit)LW82101828-34038921133128.85%23132916.22077108610173181139.72%14100000.4214000011
15Gabriel GagneManchots (Pit)C/RW8291625-1638098975851215.52%1136616.66459153090001171148.39%161800000.3711000103
16Curtis HamiltonManchots (Pit)LW818101866009240701711.43%5101412.530000111261574035.71%5600000.3500000023
17Kurtis GabrielManchots (Pit)RW342460355632931006.45%740511.920221230000100034.62%2600000.3012001010
18Cameron DarcyManchots (Pit)C82022-25420915411230.00%187710.70000060000740043.06%85000000.0500000000
19Alex LintuniemiManchots (Pit)D2101111002340010.00%1533415.91000010000060000.00%000000.0600000000
20Dylan SadowyManchots (Pit)LW1000-100101000.00%01111.370000000000000.00%000000.0000000000
21Scott TimminsManchots (Pit)C7000-120740000.00%0659.3700000000000038.71%6200000.0000000000
22Mitch MorozManchots (Pit)LW2000-200222000.00%02211.1100000000030033.33%300000.0000000000
23Richard NejezchlebManchots (Pit)LW/RW1000000300000.00%01313.18000020000000100.00%100000.0000000000
24Adam HelewkaManchots (Pit)LW1000160100000.00%01313.85000000000000100.00%100000.0000000000
25Andrew MangiapaneManchots (Pit)LW20000-4801712210.00%034717.370002670000160024.00%2500000.0000000000
Stats d'équipe Total ou en Moyenne1400250430680-1857626015111514215014833911.63%5142249916.078115423565532685611462231351548.17%606600000.60515028343531
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
1Linus SoderstromPittsburgh29111300.8623.37156921886370310.83362418000
2Allen YorkManchots (Pit)208810.8693.53105541624730100.5002178010
3Niklas TreutleManchots (Pit)2471120.8374.6894920744530000.66732041000
Stats d'équipe Total ou en Moyenne73263230.8573.7635748222415630410.727116167010


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 Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire 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
Adam HelewkaManchots (Pit)LW211995-07-21No200 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm650,000$