Avalanche
GP: 82 | W: 41 | L: 30 | OTL: 11 | P: 93
GF: 288 | GA: 295 | PP%: 20.00% | PK%: 81.34%
DG: Bernard Martel | Morale : 66 | Moyenne d'Équipe : 68
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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 SPÂgeContratSalaire
1Scott Laughton (R)X98.008443767075778476808381886971687971750261900,000$
2Ty Rattie (R)X98.006935766673748488638684765175576871740281575,000$
3Andrei Svechnikov (R)X100.008245717682858984538178647861659373730212925,000$
4Jacob De La Rose (R)X100.008849716678707077827675745471587360700251600,000$
5Joseph Blandisi (R)X100.005849796170777972707972725871675359680262575,000$
6Michael Amadio (R)X100.005439866678718071787368736667646169670251925,000$
7Steven Fogarty (R)X100.006548886385747568706762706273655669660281750,000$
8Matt Luff (R)X100.006246876580787670586863716165635459660242677,777$
9Adam CracknellX100.006135676980415175837067706984782462650352575,000$
10Yegor Korshkov (R)X100.006746896489737569546466685967647670650243925,000$
11Brett Seney (R)X100.005546796465797870686862646367645672640252757,500$
12Joel Kellman (R)X100.006439886271736866726761705871675240640263750,000$
13Ryan Graves (R)X98.008147796893827674307973965669655860760252735,000$
14Griffin Reinhart (R)X100.0099576663798078952575668453767245747502711,250,000$
15Keith Aulie (R)X100.008447726483747779487159735479782868700312900,000$
16Philip Samuelsson (R)X100.008184606676748287255663756272814775700291700,000$
17Victor Antipin (R)X100.005639887269737181307770755267563764680281575,000$
18Dakota Mermis (R)X100.005945896073857465306560695371665622650273700,000$
Rayé
1Jordan Szwarz (R)X100.005945876371787969686664666277675420640301575,000$
2T.J. Tynan (R)X100.005639846462777570767161686475685419640291575,000$
3Jayson Megna (R)X100.006245896176737466636663656178685219630311575,000$
4Joakim Nygard (R)X100.005639896270686359536158565973673820590282575,000$
5Owen Tippett (R)X100.0048338966756041494348456750675385205402211,757,500$
6Calle Rosen (R)X100.006443866175847766306861675471665119650272750,000$
7Zach Whitecloud (R)X100.006446896182807366306460695367645258650243725,000$
8Tim Erixon (R)X100.005423996676627053516648706181805418630301575,000$
MOYENNE D'ÉQUIPE99.77674482657674747255706572597267565167
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
1Anders Lindback97.00747592858599999999858599994173880
2Anthony Stolarz (R)100.00817169988281838281817771757071790
Rayé
1Matt Hackett (R)100.00817372787889899191787983833920810
MOYENNE D'ÉQUIPE99.0079737887829090919081808486505583
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller72838174817374CAN533800,000$


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
1Ty RattieAvalanche (COL)RW8243651081633512912935610018712.08%33154918.901217296424111251796446.67%1206423031.3905001765
2Jacob De La RoseAvalanche (COL)C7726618733400195155139528118.71%28137217.82521262022333691123153.40%15003222001.2702000378
3Scott LaughtonAvalanche (COL)LW784737841340101561402407915019.58%41156520.081012224422400092486251.87%5364629231.0715010446
4Andrei SvechnikovAvalanche (COL)LW82383775-659516610932911618811.55%23154818.88691534203224141937334.48%877517020.9735100761
5Joseph BlandisiAvalanche (COL)C77243660-932101011501774411413.56%29121215.74881615193000045047.72%11172522000.9901020510
6Griffin ReinhartAvalanche (COL)D8212354731684024018514055568.57%105187622.897916362670005213210.00%03550000.5000611114
7Michael AmadioAvalanche (COL)C82163147-126055178185511208.65%25121614.841124320000152051.60%11843513000.7701000035
8Adam CracknellAvalanche (COL)LW62181836-15360108801664711010.84%2291514.77000020002423154.55%774316000.7901000222
9Ryan GravesAvalanche (COL)D7052631-446201161699533405.26%83163623.38077122270003226000.00%01758010.3800112020
10Keith AulieAvalanche (COL)D7722426-456101781457522362.67%92160520.85044111700221157000.00%02339000.3200200012
11Matt LuffAvalanche (COL)RW821511264301011384132367811.36%32120014.642024450003321233.73%831824000.4300020302
12Steven FogartyAvalanche (COL)RW7981523-304092838726549.20%25113514.3831471350001102254.72%531418000.4100000010
13Philip SamuelssonAvalanche (COL)D8241923-22299518812811230363.57%87164920.12145101790003133000.00%02154000.2800649011
14Brett SeneyAvalanche (COL)LW8261622-2301062448738766.90%87969.710112130000160056.00%251812000.5500101000
15Yegor KorshkovAvalanche (COL)RW8271219-82088579130517.69%158049.811122280000110047.62%212711000.4700000010
16Victor AntipinAvalanche (COL)D7751318-14605514312848403.91%58132217.18000345000132200.00%05443000.2700000012
17Joel KellmanAvalanche (COL)C577512-720394347103114.89%84618.1000000000000147.50%200713000.5200000011
18Zach WhitecloudAvalanche (COL)D691910-16048954319122.33%64117817.0800002000080000.00%0722000.1700000000
19T.J. TynanAvalanche (COL)C33156-108017323112193.23%63239.8100000000040050.41%244126000.3701000000
20Calle Rosen Avalanche (COL)D22055-3115173210060.00%1939017.7600001000020000.00%0310000.2600001000
21Jordan SzwarzAvalanche (COL)RW20033-400143121100.00%21517.5801103000000041.67%1213000.4000000000
22Dakota MermisAvalanche (COL)D120223009229220.00%1222018.3800005000019000.00%026000.1800000000
23Owen TippettAvalanche (COL)LW9101-20051451120.00%09610.7700000000050066.67%300000.2100000000
24Tim ErixonAvalanche (COL)D1011-200010000.00%01616.000000000000000.00%000001.2500000000
25Jayson MegnaAvalanche (COL)RW1000000020100.00%01515.47000000000000100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1477286486772-63844220219122232696853149810.61%8172426416.43569615226822506814561761391750.50%5263579511290.64421171115323839
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 LindbackAvalanche (COL)60321660.9013.113393021761777764700.824175527831
2Anthony StolarzAvalanche (COL)3191450.8674.40156820115867406110.50042754020
Stats d'équipe Total ou en Moyenne914130110.8903.5249622229126441170810.762218281851


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
Adam CracknellAvalanche (COL)LW351985-07-15 11:11:13No209 Lbs6 ft3NoNoNo2Pro & Farm575,000$