Marlies

GP: 82 | W: 67 | L: 13 | OTL: 2 | P: 136
GF: 370 | GA: 218 | PP%: 30.39% | PK%: 83.79%
DG: Patrick Pellegrino | Morale : 50 | Moyenne d'Équipe : 54
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
1Zack KassianXX100.00726562717263825635555662485043050600
2Alexander BurmistrovXXX100.00613587735664695674555665484738050590
3Beau BennettXX100.00633587726766675835546159484845050590
4Kyle CliffordXX100.00666768697358784950465262485853050570
5Cody McLeodXX100.00808552687353604735425262486454050560
6Derek DorsettXX100.00736149716459455135525060486153050560
7Bryan BickellX100.00624388637963465037455453536562050550
8Bobby FarnhamXX100.00646649726056375235416363483734050540
9Nicolas DeslauriersXX100.00796175677552484535434657484638050530
10Cole SchneiderXX100.00533595716953354535543565483734050520
11Nathan HortonX100.00375761668131583235323268466457050490
12Trevor SmithXX100.00513595706749353573353561484642050490
13Stephane Da CostaX100.00318238565531503235323269464238050440
14Nikita Gusev (R)X100.00353737374535353537353537363230050380
15Jared CowenX100.00795080598266584435444379475044050620
16Alexey MarchenkoX100.00574388616972655035544582484439050620
17Brayden McNabbX100.00776670617068734635464575484540050610
18Matt IrwinX100.00663586666859524435454379485044050600
19Chad RuhwedelX100.00554388706166465035524774484443050590
20Jon MerrillX100.00623583626870684340454173484638050590
21Erik C. GustafssonX100.00543591695348394235533169473533050540
22Steve OleksyX100.00635052656150363635393266484439050530
23Corey PotterX100.00533594626851333035293165475247050520
Rayé
1Joonas RaskXX100.00318733354931393235323233463532050360
MOYENNE D'ÉQUIPE100.0059527164665552443944446447484305054
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
1Anthony Stolarz (R)100.0050457581495353495365533532050540
2Jeremy Smith100.0039458564384952384565703532050480
Rayé
MOYENNE D'ÉQUIPE100.004545807344515344496562353205051
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Hitchcock89727088999986CAN651500,000$


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
1Alexander BurmistrovMarlies (Tor)C/LW/RW673661974015549173248193814.52%11141421.1016314764251336162835063.44%123100001.37120019510
2Beau BennettMarlies (Tor)LW/RW814748955726057103232204220.26%10162620.0813203351296235133097346.23%19900011.17020001062
3Alexey MarchenkoMarlies (Tor)D712964933730055106171133016.96%107166523.451726431032733147300710.00%000011.1200000433
4Jordan SchroederTorontoC/LW/RW7645469145406160250112718.00%4120215.82152035672632024668351.76%138900031.5101000684
5Brayden McNabbMarlies (Tor)D81205676371362023576137142114.60%75179122.12112233722872574314610.00%000000.8501310365
6Zack KassianMarlies (Tor)LW/RW812847755217230272136238124411.76%13169220.897162368286123113613240.60%83500000.8912204596
7Chad RuhwedelMarlies (Tor)D8110546424535827912311208.13%90148418.3361521491760332228300.00%000000.8600001232
8Kyle CliffordMarlies (Tor)LW/RW81224264363557767188203111.70%7140417.341115265727611281823149.26%13600000.9112010216
9Matt IrwinMarlies (Tor)D81174764267351129013551812.59%92159219.66102232812440115288310.00%000000.8000010132
10Derek DorsettMarlies (Tor)LW/RW67201737141091515476129163015.50%285312.7414510530000273243.75%8000000.8700102311
11Cody McLeodMarlies (Tor)LW/RW7414213521177352135615810238.86%7105314.244812301950001443140.38%5200000.6600501132
12Tyler PitlickTorontoLW/RW7613193212220256312031910.83%682610.87022226000001145.24%4200000.7700000214
13Jared CowenMarlies (Tor)D33523282152077285513109.09%3265319.8007717770111116100.00%000000.8600000113
14Trevor SmithMarlies (Tor)C/LW81814221100297591413.56%589011.00325856000174165.20%97700000.4900000002
15Bobby FarnhamMarlies (Tor)LW/RW3310919920033206251416.13%42788.441346260001273134.21%3800001.3600000213
16Jon MerrillMarlies (Tor)D6661319296607747545611.11%48102515.531015160003101300.00%000000.3700000211
17Nicolas DeslauriersMarlies (Tor)LW/RW8181018-1101511640572514.04%36698.26011030000830146.61%11800000.5400100100
18Cole SchneiderMarlies (Tor)LW/RW7461117-2006324731812.77%54686.340331230000101133.33%3000000.7200000110
19Jason GarrisonTorontoD928104801212190010.53%821223.592131332011041000.00%000000.9400000010
20Stephane Da CostaMarlies (Tor)C69371083420747282910.71%56579.5300000000040041.65%61700000.3000121000
21Kyle BrodziakTorontoC/RW4347340111190015.79%19323.26213590000201070.00%12000001.5000000102
22Erik C. GustafssonMarlies (Tor)D19033200132020.00%3573.020110300002000.00%000001.0500000000
23Bryan BickellMarlies (Tor)LW261121008616226.25%01475.66000070000170036.36%1100000.2701000000
24Steve OleksyMarlies (Tor)D19011120822000.00%6422.210000000000000.00%000000.4800000000
25Nikita GusevMarlies (Tor)LW25011-100201000.00%0783.14000030110210052.38%2100000.2500000000
26Corey PotterMarlies (Tor)D7000000001000.00%060.930001300002000.00%000000.0000000000
27Joonas RaskMarlies (Tor)C/LW25000-100070000.00%11184.7500001000080035.59%11800000.0000000000
28Nathan HortonMarlies (Tor)RW19000000000000.00%060.3500001000030037.50%800000.0000000000
Stats d'équipe Total ou en Moyenne1507353627980485113914516871537255118741313.84%5452201314.611202203407102898142236772879652052.96%602200050.8931113510565458
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
1Anders NilssonToronto3226310.8982.31184302716980200.8336327100
2Anthony StolarzMarlies (Tor)1915200.8763.1098600514110300.00001530100
3James ReimerToronto1615100.9022.1995902353570110.00001620110
4Jeremy SmithMarlies (Tor)158410.8832.9274100363090000.83361046000
5Alexandar GeorgiyevToronto31100.8733.72113007550010.0000111000
Stats d'équipe Total ou en Moyenne85651120.8912.5946430420018300620.8331274114310


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
Alexander BurmistrovMarlies (Tor)C/LW/RW241991-10-21No180 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm1,000,000$