Bruins

GP: 82 | W: 39 | L: 36 | OTL: 7 | P: 85
GF: 293 | GA: 309 | PP%: 21.44% | PK%: 78.53%
DG: Patrick Doyon | Morale : 50 | Moyenne d'Équipe : 46
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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
1Zach Boychuk (A)XXX100.00463589715750354535424762434944050510
2Brandon MashinterX100.00655081657445394435384954474036050500
3Taylor BeckXX100.00543576717156364035384257484541050500
4Mark McNeill (R)XX100.00543595677460353535353564483734050490
5Dana TyrellXX100.00443586706246323835364061464740050480
6Morgan Klimchuk (R)X100.00475049495546464749474750483230050470
7Petter EmanuelssonXX100.00454545456945454545454545453230050460
8Antoine Laganiere (R)X100.00434545456942424345434345443230050450
9Brendan RanfordXX100.00433593726043313235323259463532050450
10Colin SmithX100.00433593715240313249323259463532050450
11Connor Crisp (R)XX100.00414343437940404143414143423230050440
12Nicolas Aube-Kubel (R)X100.00434545455842424345434345443230050440
13Justin Kea (R)X100.00414343437440404143414143423230050430
14Keegan Iverson (R)XX100.00414343437540404143414143423230050430
15Matt Iacopelli (R)X100.00414343436540404143414143423230050430
16Griffin ReinhartX100.00603578597357363235343181473533050550
17Stuart PercyX100.00543590646053333735443175473532050540
18Morgan EllisX100.00523578676942333035293167473532050510
19Nelson Nogier (R)X100.00514383696248353135303264483532050510
20Jeremy LauzonX100.00454545456745454545454545453230050460
21Nicolas MelocheX100.00454545456745454545454545453230050460
22Johnathan MacLeod (R)X100.00434545456542424345434345443230050450
23Adam Comrie (R)X100.00414343437440404143414143423230050440
24Andrei MironovX100.00404040405440404040404040403230050410
Rayé
1Alexander Fallstrom (R)X100.00384040407137373840383840393230050410
2Chris Leblanc (R)X100.00353737376835353537353537363230050390
3Benjamin Gallacher (R)X100.00384040405637373840383840393230050410
4Ryan Culkin (R)X100.00353737375435353537353537363230050380
MOYENNE D'ÉQUIPE100.0045416053664438394039395144353205046
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
1Daniel Altshuller (R)100.0042434270424141414141403230050440
Rayé
MOYENNE D'ÉQUIPE100.004243427042414141414140323005044
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mark Morris46536548787361USA591500,000$


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
1Alan QuineBostonC/LW/RW69356095-146088183254132813.78%20140920.421425397129611282786366.16%195600021.3536000871
2Zach BoychukBruins (Bos)C/LW/RW82334881-215541127242135413.64%27159619.4716183479347202102703141.68%48700001.0128100663
3Brandon MashinterBruins (Bos)LW81422769-31063015876209134220.10%18139217.191910296230400071773348.61%14400000.9925114653
4Taylor BeckBruins (Bos)LW/RW792540650701012596184153613.59%11137517.41822306633300011271146.85%11100000.9501110314
5Mark McNeillBruins (Bos)C/RW82174562020036125167154110.18%11131716.0671825553440000392246.65%126900000.9400000112
6Ben ThomsonBostonLW/RW782137586600105109180113011.67%15113314.5371219442271013144247.76%6700001.0200000351
7Stuart PercyBruins (Bos)D501330433340405989152814.61%70106421.2981321682090110163000.00%000000.8100000131
8Nelson NogierBruins (Bos)D8263339-1875259855747148.11%97162019.7721214373230111255100.00%000000.4800131111
9Morgan EllisBruins (Bos)D8172431-640095587811208.97%87157919.5131215353091233233000.00%000000.3900000002
10Dana TyrellBruins (Bos)LW/RW82101828-231804111215410406.49%1998512.020226450000122050.00%6200000.5700000222
11Colin SmithBruins (Bos)C8252025-171557112769176.58%107389.00033242000000048.98%78600000.6800001110
12Logan ShawBostonC/LW/RW26111425-81204247900012.22%1251519.8228102910101161123142.11%3800000.9713000111
13Morgan KlimchukBruins (Bos)LW8215924-5455835993153616.13%136217.582136170001432146.94%4900010.7700010202
14Mark JankowskiBostonC6691423-102752794105398.57%781112.3000047000051057.43%74700000.5700000001
15Griffin ReinhartBruins (Bos)D2531417520034294410196.82%4251120.4504424115011294200.00%000100.6700000002
16Johnathan MacLeodBruins (Bos)D8231417-260108919303510.00%49115914.152248630001120000.00%000000.2900001010
17Nicolas MelocheBruins (Bos)D8141317-2283159628332912.12%46139417.2125791960000155100.00%000000.2400120000
18Brendan RanfordBruins (Bos)LW/RW828816-1912024591085277.41%58179.9700016000001046.00%5000000.3900000003
19Jake DeBruskBostonLW379514-1228104824730012.33%845912.41000111000070259.38%3200000.6100011210
20Jeremy LauzonBruins (Bos)D814812-7801012825273314.81%62137116.9330391560002148200.00%000000.1800011100
21Adam ComrieBruins (Bos)D822911-1248106616131515.38%3296311.75033471011190000.00%000000.2300011011
22Nicolas Aube-KubelBruins (Bos)RW80461002003318349611.76%23574.46033326000080045.00%2000000.5600000002
23Connor CrispBruins (Bos)C/LW80246338104027160412.50%43894.8701134300031021046.20%18400000.3100002010
24Antoine LaganiereBruins (Bos)C3033300144110.00%03511.7800000000000064.52%3100001.7000000000
25Justin KeaBruins (Bos)C57213-28010871528.57%31803.170003180001461050.00%10400000.3300000000
26Benjamin GallacherBruins (Bos)D2011120100000.00%12713.920000000002000.00%000000.7200000000
27Keegan IversonBruins (Bos)C/RW46011-220682050.00%11182.580111210000680041.67%7200000.1700000000
28Matt IacopelliBruins (Bos)RW4000000010000.00%082.1100001000060042.86%700000.0000000000
29Andrei MironovBruins (Bos)D6000120501000.00%0396.570000200002000.00%000000.0000000000
30Petter EmanuelssonBruins (Bos)LW/RW3000140912220.00%04715.8700018000000033.33%300000.0000000000
Stats d'équipe Total ou en Moyenne1773290506796-14899015015761579238918748612.14%6722404413.569517527063136575813502590361654.17%621900130.6682351112383732
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
1Daniel AltshullerBruins (Bos)79383350.8613.8543132227719910300.68816790022
2Chase PerryBoston211220.9132.4461500252880000.2005378000
Stats d'équipe Total ou en Moyenne100393570.8673.6849292230222790300.571218278022


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 ComrieBruins (Bos)D261990-07-31Yes219 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm700,000$