Dogbones

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Nico Crisafi | Morale : 99 | Team Overall : 76
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Alexander OvechkinX100.009374909096868788507798698798960718203519,538,000$
2Vladimir TarasenkoX100.008868959188823587509084756981890667802947,500,000$
3Boone JennerXX100.008771898488848772907074855979860597702833,750,000$
4Johnny GaudreauX100.005057969377848884508781657078840667702736,750,000$
5Reilly SmithX100.007463948680838884508187897182880627703035,000,000$
6Teuvo TeravainenXX100.006058978778858685619179877578850547602655,400,000$
7Jake DebruskXX100.007061958678827979507583737174760607402411,350,000$
8Jason DickinsonX100.008469978384807872667073925572740797402621,500,000$
9Adam LowryX100.009471908588805969806869865277750547402822,916,666$
10Derek RyanXXX100.005262968876808176807774856573750747303421,491,000$
11Rocco Grimaldi (R)X100.006756968675787777507974766570730807302811,000,000$
12Michael GrabnerX100.00695797977978547050657584568282044720332605,000$
13Matt NiskanenX100.009068918488878878508172825494910638003425,750,000$
14Jacob TroubaX100.009374829185889175507770805378850767902716,000,000$
15Mattias EkholmX100.007368908587898978508172865481860417803133,750,000$
16Anthony DeAngelo (R)X100.007362858476858684508779666571770667602511,263,000$
17Jason DemersX100.00877089848386646850736081508383051750331550,000$
18Adam PelechX100.009268898188874969507264875073730547402621,600,000$
Scratches
1Jack Eichel (A)X100.0071638994828888918489937683749005283024710,000,000$
2Nazem KadriX100.008167608883836383857987726581840317603034,500,000$
3Jordan Greenway (R)X100.008569838490808075667872825470740457402411,225,000$
4Nick HoldenX100.009170958587847770506870795379800267603412,200,000$
Farm Team
1Alexander Nylander (R)X100.006958968778787675507574725669710717202321,775,000$
2Martin Frk (R)X100.00756695838379357750688568676970058700271787,500$
3Stefan Noesen (R)X100.009066838186774670506475765671720796902811,293,750$
4Brendan Perlini (R)X100.007168948586764665506664685071720636602511,425,000$
5Brandon PirriX100.00786589837978356450686074547274038660302775,000$
6John MooreX100.008669908784823567506369785280780627103041,100,000$
7Jacob Larsson (R)X100.00715895847882736850696569506971034690241925,000$
8Brendan Gaunce (R)X100.009171587689753566507061705069690656602711,026,000$
TEAM AVERAGE100.0079669086838269765775757860777905874
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jacob Markstrom100.00758085927577787677787776820697703113,666,667$
2Linus Ullmark (R)100.00767581927375787780747569740697502811,325,000$
3Marcus Hogberg (R)100.0068697691706873716970726767057700262700,000$
Scratches
Farm Team
TEAM AVERAGE100.007375819273737675757475717406574
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gérard Gallant90868592807299USA573605,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam LowryDogbonesC281993-03-29 21:26:19No210 Lbs6 ft5NoNoNo2Pro & Farm2,916,666$178,571$2,916,666$178,571$No2,916,666$Link
Adam PelechDogbonesD261994-08-16 03:26:19No217 Lbs6 ft3NoNoNo2Pro & Farm1,600,000$97,959$1,600,000$97,959$No1,600,000$Link
Alexander OvechkinDogbonesLW351985-09-17 21:26:19No235 Lbs6 ft3NoNoNo1Pro & Farm9,538,000$583,959$9,538,000$583,959$NoLink
Anthony DeAngeloDogbonesD251995-10-24 09:26:19Yes181 Lbs5 ft11NoNoNo1Pro & Farm1,263,000$77,326$1,263,000$77,327$NoLink
Boone JennerDogbonesC/LW281993-06-15 21:26:19No208 Lbs6 ft2NoNoNo3Pro Only3,750,000$229,591$3,750,000$229,592$No3,750,000$3,750,000$Link
Derek RyanDogbonesC/LW/RW341986-12-29 07:35:23No170 Lbs5 ft11NoNoNo2Pro & Farm1,491,000$91,285$1,491,000$91,286$No1,491,000$Link
Jack EichelDogbonesC241996-10-28 15:26:19No206 Lbs6 ft2NoNoNo7Pro & Farm10,000,000$612,244$10,000,000$612,245$No10,000,000$10,000,000$10,000,000$10,000,000$10,000,000$10,000,000$Link
Jacob MarkstromDogbonesG311990-01-31 03:26:20No206 Lbs6 ft6NoNoNo1Pro Only3,666,667$224,489$3,666,667$224,490$No
Jacob TroubaDogbonesD271994-02-26 03:26:19No202 Lbs6 ft3NoNoNo1Pro Only6,000,000$367,346$6,000,000$367,347$NoLink
Jake DebruskDogbonesLW/RW241996-10-17 06:20:14No188 Lbs6 ft0NoNoNo1Pro & Farm1,350,000$82,653$1,350,000$82,653$NoLink
Jason DemersDogbonesD331988-06-09 15:26:19No195 Lbs6 ft1NoNoNo1Pro & Farm550,000$33,673$550,000$33,673$NoLink
Jason DickinsonDogbonesC261995-07-04 06:28:54No200 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$91,836$1,500,000$91,837$No1,500,000$Link
Johnny GaudreauDogbonesLW271993-08-13 21:26:19No157 Lbs5 ft9NoNoNo3Pro Only6,750,000$413,265$6,750,000$413,265$No6,750,000$6,750,000$Link
Jordan GreenwayDogbonesLW241997-02-16 07:18:00Yes225 Lbs6 ft6NoNoNo1Pro & Farm1,225,000$75,000$1,225,000$75,000$No
Linus UllmarkDogbonesG281993-07-31 21:26:20Yes215 Lbs6 ft4NoNoNo1Pro & Farm1,325,000$81,122$1,325,000$81,122$No
Marcus HogbergDogbonesG261994-11-25 12:48:58Yes209 Lbs6 ft5NoNoNo2Pro & Farm700,000$42,857$700,000$42,857$No700,000$
Matt NiskanenDogbonesD341986-12-06 03:26:19No209 Lbs6 ft0NoNoNo2Pro & Farm5,750,000$352,040$5,750,000$352,041$No5,750,000$Link
Mattias EkholmDogbonesD311990-05-24 03:26:19No215 Lbs6 ft4NoNoNo3Pro Only3,750,000$229,591$3,750,000$229,592$No3,750,000$3,750,000$Link
Michael GrabnerDogbonesLW331987-10-05 09:26:19No185 Lbs6 ft1NoNoNo2Pro & Farm605,000$37,040$605,000$37,041$No605,000$Link
Nazem KadriDogbonesC301990-10-06 03:26:19No190 Lbs6 ft0NoNoNo3Pro Only4,500,000$275,510$4,500,000$275,510$No4,500,000$4,500,000$Link
Nick HoldenDogbonesD341987-05-15 09:26:19No207 Lbs6 ft4NoNoNo1Pro & Farm2,200,000$134,693$2,200,000$134,694$NoLink
Reilly SmithDogbonesRW301991-04-01 09:26:19No185 Lbs6 ft0NoNoNo3Pro Only5,000,000$306,122$5,000,000$306,122$No5,000,000$5,000,000$Link
Rocco GrimaldiDogbonesRW281993-02-08 12:58:03Yes180 Lbs5 ft6NoNoNo1Pro & Farm1,000,000$61,224$1,000,000$61,224$No
Teuvo TeravainenDogbonesLW/RW261994-09-11 03:26:19No178 Lbs5 ft11NoNoNo5Pro Only5,400,000$330,612$5,400,000$330,612$No5,400,000$5,400,000$5,400,000$5,400,000$Link
Vladimir TarasenkoDogbonesRW291991-12-13 09:26:19No219 Lbs6 ft0NoNoNo4Pro & Farm7,500,000$459,183$7,500,000$459,184$No7,500,000$7,500,000$7,500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2528.84200 Lbs6 ft22.203,573,213$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
89,330,333$61,212,666$46,650,000$22,900,000$15,400,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander OvechkinBoone JennerVladimir Tarasenko40122
2Johnny GaudreauAdam LowryReilly Smith30122
3Teuvo TeravainenJason DickinsonJake Debrusk20122
4Michael GrabnerDerek RyanRocco Grimaldi10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt NiskanenJacob Trouba40122
2Mattias EkholmAnthony DeAngelo30122
3Jason DemersAdam Pelech20122
4Matt NiskanenJacob Trouba10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander OvechkinBoone JennerVladimir Tarasenko60122
2Johnny GaudreauAdam LowryReilly Smith40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt NiskanenJacob Trouba60122
2Mattias EkholmAnthony DeAngelo40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alexander OvechkinVladimir Tarasenko60122
2Reilly SmithJohnny Gaudreau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt NiskanenJacob Trouba60122
2Mattias EkholmAnthony DeAngelo40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Alexander Ovechkin60122Matt NiskanenJacob Trouba60122
2Vladimir Tarasenko40122Mattias EkholmAnthony DeAngelo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alexander OvechkinVladimir Tarasenko60122
2Reilly SmithJohnny Gaudreau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt NiskanenJacob Trouba60122
2Mattias EkholmAnthony DeAngelo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alexander OvechkinBoone JennerVladimir TarasenkoMatt NiskanenJacob Trouba
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alexander OvechkinBoone JennerVladimir TarasenkoMatt NiskanenJacob Trouba
Extra Forwards
Normal PowerPlayPenalty Kill
Teuvo Teravainen, Jake Debrusk, Jason DickinsonTeuvo Teravainen, Jake DebruskJason Dickinson
Extra Defensemen
Normal PowerPlayPenalty Kill
Jason Demers, Adam Pelech, Mattias EkholmJason DemersAdam Pelech, Mattias Ekholm
Penalty Shots
Alexander Ovechkin, Vladimir Tarasenko, Reilly Smith, Johnny Gaudreau, Boone Jenner
Goalie
#1 : Jacob Markstrom, #2 : Linus Ullmark, #3 : Marcus Hogberg


Filter Tips
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
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity41004100400040001030
Ticket Price100735334200
Attendance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$17230100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 89,330,333$ 66,542,333$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 25 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 3 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ -6,641,364$ -6,641,364$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 85,000,000$ 85,000,000$ -60,000,000$



Depth Chart

Left WingCenterRight Wing
Alexander OvechkinAGE:35PO:0OV:82
Boone JennerAGE:28PO:0OV:77
Johnny GaudreauAGE:27PO:0OV:77
Teuvo TeravainenAGE:26PO:0OV:76
Jake DebruskAGE:24PO:0OV:74
*Jordan GreenwayAGE:24PO:0OV:74
Derek RyanAGE:34PO:0OV:73
*Alexander NylanderAGE:23PO:0OV:72
Michael GrabnerAGE:33PO:0OV:72
*Brendan PerliniAGE:25PO:0OV:66
Jack EichelAGE:24PO:0OV:83
Boone JennerAGE:28PO:0OV:77
Nazem KadriAGE:30PO:0OV:76
Jason DickinsonAGE:26PO:0OV:74
Adam LowryAGE:28PO:0OV:74
Derek RyanAGE:34PO:0OV:73
*Brendan GaunceAGE:27PO:0OV:66
Vladimir TarasenkoAGE:29PO:0OV:78
Reilly SmithAGE:30PO:0OV:77
Teuvo TeravainenAGE:26PO:0OV:76
Jake DebruskAGE:24PO:0OV:74
Derek RyanAGE:34PO:0OV:73
*Rocco GrimaldiAGE:28PO:0OV:73
*Martin FrkAGE:27PO:0OV:70
*Stefan NoesenAGE:28PO:0OV:69
Brandon PirriAGE:30PO:0OV:66

Defense #1Defense #2Goalie
Matt NiskanenAGE:34PO:0OV:80
Jacob TroubaAGE:27PO:0OV:79
Mattias EkholmAGE:31PO:0OV:78
Nick HoldenAGE:34PO:0OV:76
*Anthony DeAngeloAGE:25PO:0OV:76
Jason DemersAGE:33PO:0OV:75
Adam PelechAGE:26PO:0OV:74
John MooreAGE:30PO:0OV:71
*Jacob LarssonAGE:24PO:0OV:69
Jacob MarkstromAGE:31PO:0OV:77
*Linus UllmarkAGE:28PO:0OV:75
*Marcus HogbergAGE:26PO:0OV:70

Prospects

Filter Tips
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
Prospect Team NameDraft Year Overall Pick Information Lien
A.J. GreerDogbones201681
Daniel AltshullerDogbones
Kirill MarchenkoDogbones
Michael McCarronDogbones
Nicolas MelocheDogbones201698

Draft Picks

Year R1R2R3R4R5
2021DBS DBS BJT DBS
2022DBS STL WLV DBS SEN DBS DBS DBS
2023WLV DBS DBS WOL DBS BUL DBS SEN DBS
2024DBS DBS DBS DBS DBS
2025DBS DBS DBS DBS DBS




News Database File Not Found. Please create one from the STHS.




[2021-06-10 22:15:21] - Warriors was eliminated at round 2 of year 2020.
[2021-05-28 12:26:32] - Dogbones didn't make playoff for year 2020.
[2021-03-22 21:12:42] - Warriors hired Peter Deboer for 550 000 $ for 1 year(s).
[2021-02-04 12:17:34] - TRADE : From Dogbones to Pirates : Y:2023-RND:2-STL.
[2021-02-04 12:17:34] - TRADE : From Pirates to Dogbones : Nazem Kadri (76).



[2021-08-02 21:51:47] Current fund for Dogbones is under 0 $.
[2021-07-05 23:21:00] Current fund for Dogbones is under 0 $.
[2021-07-02 22:29:34] Current fund for Dogbones is under 0 $.
[2021-06-30 22:49:16] Current fund for Dogbones is under 0 $.
[2021-06-29 22:23:23] Current fund for Dogbones is under 0 $.
[2021-06-28 22:17:51] Current fund for Dogbones is under 0 $.
[2021-06-28 21:18:48] Current fund for Dogbones is under 0 $.
[2021-06-25 20:48:13] Current fund for Dogbones is under 0 $.
[2021-06-25 09:26:18] Current fund for Dogbones is under 0 $.
[2021-06-23 23:13:19] Current fund for Dogbones is under 0 $.
[2021-06-22 23:02:52] Current fund for Dogbones is under 0 $.
[2021-06-21 22:58:10] Current fund for Dogbones is under 0 $.
[2021-06-20 22:27:09] Current fund for Dogbones is under 0 $.
[2021-06-19 15:33:14] Current fund for Dogbones is under 0 $.
[2021-06-19 01:29:25] Current fund for Dogbones is under 0 $.
[2021-06-17 22:28:52] Current fund for Dogbones is under 0 $.
[2021-06-16 23:22:16] Current fund for Dogbones is under 0 $.
[2021-06-15 22:13:43] Current fund for Dogbones is under 0 $.
[2021-06-14 21:35:34] Current fund for Dogbones is under 0 $.
[2021-06-14 21:12:05] Current fund for Dogbones is under 0 $.
[2021-06-13 23:26:40] Current fund for Dogbones is under 0 $.
[2021-06-12 22:29:43] Current fund for Dogbones is under 0 $.
[2021-06-12 12:42:14] Current fund for Dogbones is under 0 $.
[2021-06-10 22:45:20] Current fund for Dogbones is under 0 $.
[2021-06-10 22:15:37] Current fund for Dogbones is under 0 $.
[2021-06-10 22:15:21] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2021-06-09 22:59:31] Current fund for Dogbones is under 0 $.
[2021-06-09 22:30:39] Current fund for Dogbones is under 0 $.
[2021-06-09 22:30:29] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2021-06-08 22:16:32] Current fund for Dogbones is under 0 $.
[2021-06-08 21:52:43] Current fund for Dogbones is under 0 $.
[2021-06-08 21:52:13] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2021-06-08 08:30:48] Current fund for Dogbones is under 0 $.
[2021-06-07 23:53:20] Current fund for Dogbones is under 0 $.
[2021-06-07 23:53:07] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2021-06-06 22:54:49] Current fund for Dogbones is under 0 $.
[2021-06-06 21:37:37] Current fund for Dogbones is under 0 $.
[2021-06-06 21:37:23] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2021-06-04 22:27:41] Current fund for Dogbones is under 0 $.
[2021-06-03 22:55:16] Current fund for Dogbones is under 0 $.
[2021-06-03 22:07:45] Current fund for Dogbones is under 0 $.
[2021-06-03 22:07:19] Warriors lines for next game are empty. Current rosters/lines are not erased.



No Injury or Suspension.


OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
2019822831034115223229-6411612002831191081141121903232104121-17932233605831262648320239176974984083266488069516952515823.11%1943780.93%4877174150.37%931184750.41%583113551.37%171995117827451505774
201982263403379235251-1641121802333116126-1041141601046119125-6842353886236066847518260183793580781265089482317212574316.73%2595379.54%71021191753.26%930184450.43%590116550.64%1787104817777481442712
202082264104074232240-841132302030107112-541131802044125128-3782323756071167748022253788083081658266286478817342214018.10%2666376.32%8937179052.35%953182252.31%600116551.50%1767102617637281445726
Total Regular Season2468010601072518690720-301234153045146342346-412339530621112348374-262556901123181383195222238607529248625142463222797626382306515072914119.34%71915378.72%192835544852.04%2814551351.04%1773346551.17%527330275324222243942213