Devils
GP: 82 | W: 51 | L: 23 | OTL: 8 | P: 110
GF: 276 | GA: 242 | PP%: 17.65% | PK%: 83.46%
DG: Frédéric Ferland Bolduc | Morale : 99 | Moyenne d'Équipe : 71
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 SPÂgeContratSalaire
1Alex DeBrincat (R)X100.006038798165889599659293728160607286790231894,167$
2Josh Anderson (R)X100.0086416873838795806077818560745459857502722,000,000$
3Jake Virtanen (R)X100.0084457376838185785487787476677086867502421,500,000$
4Pavel Buchnevich (R)X100.0073458674838184835281777876696663857402631,000,000$
5Jason Dickinson (R)X100.008143886780778473787465906769667685720252700,000$
6Nicklas Jensen (R)X100.002724996379527194397978796379855784710282700,000$
7Miles Wood (R)X100.008152647379828475537571747069655985710253700,000$
8Robert Thomas (R)X100.0053398873748381798083677072616482837002121,208,330$
9Andrew Mangiapane (R)X100.007338876867788574547174696967664886690252750,000$
10Kevin Porter (R)X100.005731826774517379527068775585794085680352575,000$
11Tom PyattX100.005937867172709566596660816682754185680343575,000$
12Jordan Nolan (R)X100.006335596982637774696764696470593585660312575,000$
13Dalton Prout (R)X99.0069357560817180932565609453859139857503131,250,000$
14Jonathon Blum (R)X100.0099956866756875964976647655899149847403221,250,000$
15Robert Bortuzzo (R)X100.0082497361907778663074609150797253837303221,000,000$
16Troy Stecher (R)X100.007439816768838873308064835572664283720273800,000$
17Mike Reilly (R)X100.006839836677847871307960705073685383690272600,000$
18Carl Dahlstrom (R)X100.005745835993827165306953764669656685670261925,000$
Rayé
1Jaret Anderson-Dolan (R)X100.005843896570767470706761665961627419630212745,000$
2Ryan Lomberg (R)X100.005142846367727169546669656371665920630263725,000$
3Patrick Russell (R)X100.006839825578696653515450625573673819570282575,000$
4Aaron Ness (R)X100.005642886467827766306860715478685720650313575,000$
5Erik Brannstrom (R)X100.0056438468668377733069616852616384206502121,375,000$
MOYENNE D'ÉQUIPE99.96674380677676807650736776617269587070
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
1Linus Ullmark (R)100.00919593929293959493918773775884890
2Jon Gillies (R)100.00777579908381848484755175676085790
Rayé
1Gilles Senn (R)100.00798078918079818079797567715620780
2Oscar Dansk (R)100.00797068858079818079797571757420760
MOYENNE D'ÉQUIPE100.0082808090848385858481727273625281
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Hartsburg72756974997571CAN612500,000$


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'ÉquipePOSGP 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
1Alex DeBrincatDevils (NJ )LW8250531031436011714433510421614.93%39164520.061214264822611262397343.36%5128726111.25380008710
2Josh AndersonDevils (NJ )RW8133498286151931382769417511.96%46161619.968152345222202132246243.56%1016423111.0118010847
3Pavel BuchnevichDevils (NJ )LW824229711418101501022327316718.10%31140217.11851317141011610013241.67%724525021.0135101954
4Jake VirtanenDevils (NJ )RW79244468147010204922187314311.01%35136617.302810121701017814154.44%907618001.0034101437
5Nicklas JensenDevils (NJ )RW7625315610008105257741409.73%34112414.79000020000002132.00%755826011.0001000525
6Jason DickinsonDevils (NJ )C771435491495121166100344814.00%21128916.7441014212200000283150.48%1355722000.7601001022
7Miles WoodDevils (NJ )LW8222224468420221932197013310.05%35127215.520000120002565246.07%895316000.6912112342
8Robert ThomasDevils (NJ )C78113142113156613414229917.75%20123215.8017814162000021250.71%11301613000.6812001011
9Jonathon BlumDevils (NJ )D8262632101907023214210952505.50%97183122.34448232400112198220.00%03761000.3501454211
10Tom PyattDevils (NJ )C8261925880821549031466.67%44114213.94011090000171141.31%11741621000.4400000101
11Troy StecherDevils (NJ )D8241923132001391437733235.19%99171720.9524681600000159100.00%01340000.2700000111
12Andrew MangiapaneDevils (NJ )LW82121123-5007554120347410.00%2582010.011126900112751141.18%513910000.5601000241
13Kevin PorterDevils (NJ )C7014923-6003870107316013.08%226298.9900006000001143.22%435247100.7300000042
14Dalton ProutDevils (NJ )D7811920250101061718636441.16%115173322.23134151760113219000.00%01155000.2300011010
15Robert BortuzzoDevils (NJ )D7431316953151711486730354.48%100153420.73235101360002143000.00%0749000.2100120000
16Mike ReillyDevils (NJ )D77014141123586844016260.00%68134717.51000047000025000.00%01241000.2100010100
17Jordan NolanDevils (NJ )RW825813-328091457029527.14%176868.3800004000010052.00%252210000.3800000010
18Carl DahlstromDevils (NJ )D82011119180591123716210.00%90140317.1200004000080000.00%0247000.1601000000
19Aaron NessDevils (NJ )D170332009157450.00%1828116.5600000000012000.00%009000.2100000000
20Jaret Anderson-DolanDevils (NJ )C2101112071810580.00%11587.5500000000000047.76%6712000.1300000000
21Ryan LombergDevils (NJ )LW4000200212240.00%0399.8100001000000033.33%300000.0000000000
22Patrick RussellDevils (NJ )RW6000-200631020.00%1477.840000000000000.00%012000.0000000000
Stats d'équipe Total ou en Moyenne1476272447719142701155218321342602870156310.45%9582432416.4845751202192054459431667471946.48%5179591523350.59123481111444044
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 UllmarkDevils (NJ )59371560.9122.783546811641863829610.577265923466
2Jon GilliesDevils (NJ )2414820.9063.0814242273774379000.42972359411
Stats d'équipe Total ou en Moyenne83512380.9102.86497010323726371208610.545338282877


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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Aaron NessDevils (NJ )D311990-05-18 17:11:13Yes184 Lbs5 ft10NoNoNo3Pro & Farm575,000$