Bruins
GP: 81 | W: 35 | L: 41 | OTL: 5 | P: 75
GF: 269 | GA: 318 | PP%: 19.06% | PK%: 81.09%
DG: Libre | Morale : 42 | Moyenne d'Équipe : 69
Prochain matchs #984 vs Red Wings
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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
1Christian Dvorak (R)X100.0073468174728597909187818056735966657702532,000,000$
2Jesper Fast (R)X100.0077418473727990845986769967737244597702921,500,000$
3Ivan Barbashev (R)X100.008145876872798878787574826870677348720253800,000$
4Martin Frk (R)X100.006345856878817574587169706973686743680273575,000$
5Jack Roslovic (R)X100.005938897175728876757467687165638156680243575,000$
6Samuel Blais (R)X100.009048876681697072536767736667655148670242700,833$
7Anders Bjork (R)X100.0062408864727475696071647062676458696502411,066,670$
8Stefan Matteau (R)X100.007251856084797368676563706171667555650271575,000$
9Joey Anderson (R)X100.006535756472726770646765726163626650640222925,000$
10Lias Andersson (R)X100.0063428461757778697464626765636287176402211,775,000$
11Karson Kuhlman (R)X100.005841826269797866636463685969645557640252750,000$
12Taylor Leier (R)X100.005134907069686864736458765271585130630272575,000$
13Zach TrotmanX100.007946766478628178307461885972774322720301900,000$
14Kevan MillerX100.0077567564778080743069659161706712377203311,350,000$
15Dylan McIlrath (R)X100.007557776096807276307659765570705142700292700,000$
16Christian Djoos (R)X100.005935827368738588308182705269534664700261650,000$
17David Warsofsky (R)X100.004942766966708366486652885474804745690303575,000$
18Kevin Gravel (R)X100.006435806084716874307469795462564458670292575,000$
Rayé
1Lean Bergmann (R)X100.007147816281726968726562676263625443640223836,667$
2Jani Hakanpaa (R)X100.007347896293837166306459704675685119670292850,000$
3Connor Clifton (R)X100.008152846067807165306362744869655519660262725,000$
4William Lagesson (R)X100.006446886082767368306560695067646219650253741,666$
5Andy Welinski (R)X100.006535756776636374306964735366555719650281650,000$
6Ville Heinola (R)X100.005739906568727570307058645159608420630203925,000$
MOYENNE D'ÉQUIPE100.00684383657675777351706575586864584268
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
1Thatcher Demko (R)100.00827876888382858483827869737652800
2Chris Driedger (R)100.00807270908180828180807671756240780
Rayé
1Jeff Zatkoff (R)100.00808575787994949696828499922019850
2Marcus Hogberg (R)100.00767573948278807978767271756219770
MOYENNE D'ÉQUIPE100.0080787488818485858480787879553380
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy48867949867566CAN5531,000,000$


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
1Christian DvorakBruins (BOS)C81455499-1436101591843178519314.20%29160919.879223141240404192196458.02%16776128121.2304101778
2Jesper FastBruins (BOS)RW81315788-122001501652948416410.54%44160619.84915244320603342094242.90%3597332011.1024000593
3Christian DjoosBruins (BOS)D81333669-122208516624610710613.41%91169120.889413311771014139420.00%07546030.8200000645
4Anders BjorkBruins (BOS)RW81273259-142810103952237113312.11%29123215.22224972000015238.24%684419000.9600011622
5Jack RoslovicBruins (BOS)C81153954-3780119171207611527.25%20138217.072911161771122652049.08%12474024000.7801000203
6Ivan BarbashevBruins (BOS)LW73192948-211610143105133467614.29%23131217.987613322101233984148.11%1062325100.7302011344
7Martin FrkBruins (BOS)RW75152843-2522012388171561058.77%27121216.17178101370002403029.85%674917000.7100000221
8Stefan MatteauBruins (BOS)LW81112031-428101328614147907.80%29120514.880110240002131047.30%741716000.5100101140
9Zach TrotmanBruins (BOS)D7252530-267951251228745475.75%91162922.63279142290113163100.00%02246100.3700001101
10Joey AndersonBruins (BOS)RW811113243120726093327311.83%127118.79000020000301050.00%42207100.6700000111
11Kevan MillerBruins (BOS)D8161824-30702020218411040425.45%109184322.76448272500000200000.00%03060000.2600112001
12Karson KuhlmanBruins (BOS)C8171623-3361052758827627.95%2492411.4100016000160042.66%5791314000.5000011002
13Samuel BlaisBruins (BOS)LW8113821-384820167109119357610.92%24132516.36415181800000111025.81%622816000.3200022004
14Kevin GravelBruins (BOS)D8141721-18200921087935295.06%70138517.1100004000171000.00%02931000.3000000000
15Lias AnderssonBruins (BOS)C39611173115506060294410.00%1151113.1200000000090151.75%45889000.6600001002
16Dylan McIlrathBruins (BOS)D7611516-1178201391186230351.61%89156420.5915691720000121010.00%01444000.2000112000
17Taylor LeierBruins (BOS)LW548614000234255192614.55%164618.54000000001121168.75%161513000.6100000100
18Derrick PouliotBruinsD41031311001151910952.63%59724.45112422000016300.00%061022.6600000300
19David WarsofskyBruins (BOS)D732911-16400591256837282.94%74126417.33112326000027100.00%0941000.1700000000
20Lean BergmannBruins (BOS)C74459-421575494717328.51%95777.8000003000000046.13%29787000.3100001000
21Connor CliftonBruins (BOS)D151560952117123108.33%1224716.5100000000013000.00%019000.4800001000
22Jani HakanpaaBruins (BOS)D8123-4409620250.00%513817.300000800006000.00%006000.4300000100
23Sergei KalininBruinsRW4202112019383425.00%46315.8710131300005010.00%133000.6300000000
24Noel AcciariBruinsLW4022-400138102100.00%37017.62011112000080041.30%4623000.5701000000
Stats d'équipe Total ou en Moyenne1462277450727-275620130214321512651921154810.45%8502407116.46538613926221827714421491371550.19%5099590517480.602124715393337
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
1Thatcher DemkoBruins (BOS)50182620.8784.022524211691390652210.71474536142
2Chris DriedgerBruins (BOS)34111220.8764.06170020115927440110.00022542101
3Jeff ZatkoffBruins (BOS)126310.9012.636620029292151100.6673113211
Stats d'équipe Total ou en Moyenne96354150.8803.8448874131326091243420.583128181454


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
Anders BjorkBruins (BOS)RW241996-08-05 11:08:17Yes190 Lbs6 ft0NoNoNo1Pro & Farm1,066,670$