Login

Barracuda
GP: 80 | W: 46 | L: 27 | OTL: 7 | P: 99
GF: 356 | GA: 326 | PP%: 26.01% | PK%: 80.87%
GM : Roland Roberge | Morale : 54 | Team Overall : 63
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Icehogs
41-34-5, 87pts
2
FINAL
3 Barracuda
46-27-7, 99pts
Team Stats
W1StreakW1
23-15-2Home Record27-9-4
18-19-3Home Record19-18-3
5-3-2Last 10 Games6-3-1
3.89Goals Per Game4.45
4.08Goals Against Per Game4.08
22.58%Power Play Percentage26.01%
74.21%Penalty Kill Percentage80.87%
Thunderbirds
48-30-2, 98pts
4
FINAL
6 Barracuda
46-27-7, 99pts
Team Stats
L1StreakW1
25-13-2Home Record27-9-4
23-17-0Home Record19-18-3
6-3-1Last 10 Games6-3-1
3.98Goals Per Game4.45
3.51Goals Against Per Game4.08
19.06%Power Play Percentage26.01%
79.34%Penalty Kill Percentage80.87%
Team Leaders
Goals
William Carrier
60
Assists
Emil Pettersson
92
Points
William Carrier
139
Plus/Minus
Cole Ully
13
Wins
Joni Ortio
36
Save Percentage
Joni Ortio
0.888

Team Stats
Goals For
356
4.45 GFG
Shots For
2671
33.39 Avg
Power Play Percentage
26.0%
84 GF
Offensive Zone Start
36.0%
Goals Against
326
4.08 GAA
Shots Against
2711
33.89 Avg
Penalty Kill Percentage
80.9%%
57 GA
Defensive Zone Start
36.4%
Team Info

General ManagerRoland Roberge
CoachDale Hunter
DivisionThayer-Tutt
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,782
Season Tickets300


Roster Info

Pro Team30
Farm Team20
Contract Limit50 / 250
Prospects0


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
1William Carrier (R)X100.008240787372697876708168677064513661710242980,000$
2Kurtis Macdermid (R)X100.008161776775667870577559766055544472700242850,000$
3Emil Pettersson (R)X100.006828827071647773767672596762493474690242800,000$
4Cole Ully (R)X100.006537816964757271738270516850474074680231725,000$
5Theodor Blueger (R)X100.006935806966707175617173586652483774670242800,000$
6Alex Henriksson (R)X100.006832776961637569647468617249473774660231700,000$
7Mario LuciaX100.006137726670676270675982545951513152650251750,000$
8Noah Gregor (R)X100.006233797362636465666574636743446274650202600,000$
9Kyle Platzer (R)X100.004939707146715874656765658245463570640232500,000$
10Thomas Gobeil (R)X100.006640655862627168666359506548473242600241650,000$
11Jaedon Descheneau (R)X100.004443685954656458676769404945472864580231500,000$
12Nikolai Kovalenko (R)X100.005939646266655461645952436441436656560192500,000$
13Eric GustafssonX100.006827817771748085528260705773543344720262990,000$
14Samuel GroulxX100.006435707169806872477467775569572443700281975,000$
15Logan Stanley (R)X100.008243717580835460457058725647446542700202850,000$
16Robin Norell (R)X100.007033836766736865437352826053483774690232750,000$
17Mac Hollowell (R)X100.006545776061726055446554685645436846630202500,000$
18Jordan Gross (R)X100.007028696364656864446965635047523464630231650,000$
Scratches
1Aleksi Heponiemi (R)X100.005631736560646965777868495342427019630191500,000$
2Jacob Peterson (R)X100.006132685371646866606473446242426320610191500,000$
3Ben Jones (R)X100.006430745069585954636369446141416120580191500,000$
4Scott Reedy (R)X100.005232716063625862565767375941416420570191500,000$
5Alexei Toropchenko (R)X100.005829585059495354485670456441416133540191500,000$
6Alex Lintuniemi (R)X100.005535696657585573286954624444444621600221700,000$
7Dennis Cholowski (R)X100.006137794856697057286862535542426419590202575,000$
8Bode Wilde (R)X100.007039615862644553315749554240407419570182500,000$
9Ryan Merkley (R)X100.005920685045525160355860454540407220530182500,000$
TEAM AVERAGE100.00643673646466656655686458604946494863
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
1Joni Ortio99.00667973757576768272716760563171730272900,000$
2Joacim Eriksson100.00727170786857637470636860562374670281800,000$
Scratches
1Kevin Mandolese (R)100.00674857707240485862406440406519560182500,000$
TEAM AVERAGE99.6768666774725862716858665351405565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dale Hunter77816664436854Can671650,000$


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
1William CarrierBarracuda (S.J)LW726079139340015210335311020617.00%50163922.781634504724432592167250.77%1958624021.70270001347
2Emil PetterssonBarracuda (S.J)C804492136-42008515733510121113.13%35180722.6014365050270224132296152.05%28345738111.5025000995
3Theodor BluegerBarracuda (S.J)C80454590111801351062828016215.96%43139617.461192027207325151347442.56%9284718021.2902000754
4Eric GustafssonBarracuda (S.J)D5915698411809812920385657.39%118165328.02101525372080118215210%04151001.0200000342
5Kurtis MacdermidBarracuda (S.J)LW80374582164201461352237014116.59%30142217.788152332211112121409134.48%874429011.1557121473
6Cole UllyBarracuda (S.J)LW80372865136083611956311818.97%31100512.570117252133475445.45%333924011.2912000631
7Samuel GroulxBarracuda (S.J)D6464652-46209511212157544.96%108168526.3321618242190334202010%03365000.6201000010
8Noah GregorBarracuda (S.J)C8022234591406888154378114.29%2389111.1400000000011047.67%4723821001.0100000013
9Mario LuciaBarracuda (S.J)RW64261440-156758264115336622.61%29123819.351451929214000001346.15%1042424100.6500000013
10Thomas GobeilBarracuda (S.J)RW5614193313600843168144220.59%1891316.3131412151000002038.71%62411000.7200000013
11Alex HenrikssonBarracuda (S.J)LW80141731-8207153127369911.02%197859.8200011311251011045.45%223010000.7900000011
12Robin NorellBarracuda (S.J)D8012526-7120631308524261.18%120167620.9514572030332193000%01353000.3100000101
13Logan StanleyBarracuda (S.J)D7052025-35601181087833216.41%99161123.0243782090001175010%02363000.3100000002
14Kyle PlatzerBarracuda (S.J)C78111223-14120184712729758.66%206278.04000020111590046.58%2342216000.7301000100
15Mac HollowellBarracuda (S.J)D7902121-422056844823260%58127116.100002970000107000%0843000.3300000000
16Jordan GrossBarracuda (S.J)D76120211218055644419242.27%5198612.98011030011043000%0729000.4300000002
17Jaedon DescheneauBarracuda (S.J)RW807111812580496045192515.56%20107013.381564113000001138.24%34911000.3400000010
18Alexei ToropchenkoBarracuda (S.J)RW46246-71603618176811.76%33407.4100005000000050.00%643000.3500000000
19Nikolai KovalenkoBarracuda (S.J)RW76415-1353562271692125.00%137039.2600001000000047.37%1917000.1400000100
20Alex LintuniemiBarracuda (S.J)D4313461601630183155.56%1446410.8100004000022000%0119000.1700000000
21Aleksi HeponiemiBarracuda (S.J)C21112-5207292311.11%0974.66000020000141035.71%1430000.4100000010
22Bode WildeBarracuda (S.J)D17011120641110%2744.390110400000000%002000.2700000000
23Dennis CholowskiBarracuda (S.J)D28011340597120%162318.260000100002000%013000.0900000000
24Ben JonesBarracuda (S.J)C13000-100200010%0161.25000000000130044.44%90000000000000
25Jacob PetersonBarracuda (S.J)C13000100300010%040.350000100000000%00000000000000
Team Total or Average1515353597950164230159516222671855149413.22%9202361715.59841462302872445121830731920431948.76%5053535564270.801025121453937
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
1Joni OrtioBarracuda (S.J)64361750.8883.813494402221979950220.750126114352
2Joacim ErikssonBarracuda (S.J)28101020.8644.4413124097713410100.55691961000
3Kevin MandoleseBarracuda (S.J)10000.8824.14290021710000005000
Team Total or Average93462770.8823.984836803212709137032218080352


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aleksi HeponiemiBarracuda (S.J)C191999-01-01Yes155 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Alex HenrikssonBarracuda (S.J)LW231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$3,483$0$0$No------------------
Alex LintuniemiBarracuda (S.J)D221996-01-01Yes214 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$3,483$0$0$No------------------
Alexei ToropchenkoBarracuda (S.J)RW191999-01-01Yes222 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Ben JonesBarracuda (S.J)C191999-01-01Yes187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Bode WildeBarracuda (S.J)D182000-01-01Yes195 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Cole UllyBarracuda (S.J)LW231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm725,000$3,607$0$0$No------------------
Dennis CholowskiBarracuda (S.J)D201998-01-01Yes196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm575,000$2,861$0$0$No575,000$--------No--------
Emil PetterssonBarracuda (S.J)C241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No800,000$--------No--------
Eric GustafssonBarracuda (S.J)D261992-01-01No176 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm990,000$4,925$0$0$No990,000$--------No--------
Jacob PetersonBarracuda (S.J)C191999-01-01Yes180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jaedon DescheneauBarracuda (S.J)RW231995-01-01Yes192 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Joacim ErikssonBarracuda (S.J)G281990-01-01No189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Joni OrtioBarracuda (S.J)G271991-01-01No185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No900,000$--------No--------
Jordan GrossBarracuda (S.J)D231995-01-01Yes190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Kevin MandoleseBarracuda (S.J)G182000-01-01Yes180 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Kurtis MacdermidBarracuda (S.J)LW241994-01-01Yes233 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm850,000$4,229$0$0$No850,000$--------No--------
Kyle PlatzerBarracuda (S.J)C231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Logan StanleyBarracuda (S.J)D201998-01-01Yes231 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm850,000$4,229$0$0$No850,000$--------No--------
Mac HollowellBarracuda (S.J)D201998-01-01Yes170 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Mario LuciaBarracuda (S.J)RW251993-01-01No204 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Nikolai KovalenkoBarracuda (S.J)RW191999-01-01Yes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Noah GregorBarracuda (S.J)C201998-01-01Yes185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No600,000$--------No--------
Robin NorellBarracuda (S.J)D231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,731$0$0$No750,000$--------No--------
Ryan MerkleyBarracuda (S.J)D182000-01-01Yes186 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Samuel GroulxBarracuda (S.J)D281990-01-01No182 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$4,851$0$0$No------------------
Scott ReedyBarracuda (S.J)C191999-01-01Yes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Theodor BluegerBarracuda (S.J)C241994-01-01Yes171 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No800,000$--------No--------
Thomas GobeilBarracuda (S.J)RW241994-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
William CarrierBarracuda (S.J)LW241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm980,000$4,876$0$0$No980,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3022.07190 Lbs6 ft11.53668,167$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1William CarrierEmil PetterssonMario Lucia40122
2Kurtis MacdermidTheodor BluegerThomas Gobeil30122
3Cole UllyNoah GregorJaedon Descheneau20122
4Alex HenrikssonKyle PlatzerNikolai Kovalenko10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Eric GustafssonSamuel Groulx40122
2Logan StanleyRobin Norell30122
3Mac HollowellJordan Gross20122
4Eric GustafssonSamuel Groulx10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1William CarrierEmil PetterssonMario Lucia60122
2Kurtis MacdermidTheodor BluegerThomas Gobeil40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Eric GustafssonSamuel Groulx60122
2Logan StanleyRobin Norell40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Emil PetterssonWilliam Carrier60140
2Theodor BluegerKurtis Macdermid40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Eric GustafssonSamuel Groulx60140
2Logan StanleyRobin Norell40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Emil Pettersson60140Eric GustafssonSamuel Groulx60140
2Theodor Blueger40140Logan StanleyRobin Norell40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Emil PetterssonWilliam Carrier60122
2Theodor BluegerKurtis Macdermid40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Eric GustafssonSamuel Groulx60122
2Logan StanleyRobin Norell40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
William CarrierEmil PetterssonMario LuciaEric GustafssonSamuel Groulx
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
William CarrierEmil PetterssonMario LuciaEric GustafssonSamuel Groulx
Extra Forwards
Normal PowerPlayPenalty Kill
Theodor Blueger, Alex Henriksson, Mario LuciaTheodor Blueger, Alex HenrikssonTheodor Blueger
Extra Defensemen
Normal PowerPlayPenalty Kill
Robin Norell, Mac Hollowell, Jordan GrossRobin NorellRobin Norell, Mac Hollowell
Penalty Shots
William Carrier, Kurtis Macdermid, Emil Pettersson, Cole Ully, Theodor Blueger
Goalie
#1 : Joni Ortio, #2 : Joacim Eriksson
Custom OT Lines Forwards
William Carrier, Kurtis Macdermid, Emil Pettersson, Cole Ully, Theodor Blueger, Alex Henriksson, Alex Henriksson, Mario Lucia, Noah Gregor, Kyle Platzer, Thomas Gobeil
Custom OT Lines Defensemen
Eric Gustafsson, Samuel Groulx, Logan Stanley, Robin Norell, Mac Hollowell


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
1Admirals3100100115141110000007612000100188050.833152540009111913715978668709144310136265110330.00%13561.54%0886180749.03%855182846.77%723138852.09%166992917277501443714
2Americans53200000211563210000013762110000088060.6002135560091119137151628668709144316753348016425.00%17288.24%1886180749.03%855182846.77%723138852.09%166992917277501443714
3Bears211000007521010000024-21100000051420.500710170091119137155786687091443632112485120.00%6183.33%0886180749.03%855182846.77%723138852.09%166992917277501443714
4Canucks2110000089-1110000005411010000035-220.500815230091119137156586687091443781316459444.44%8275.00%0886180749.03%855182846.77%723138852.09%166992917277501443714
5Checkers20101000914-51010000039-61000100065120.500916250091119137155886687091443612721373133.33%8275.00%0886180749.03%855182846.77%723138852.09%166992917277501443714
6Comets21100000871110000005231010000035-220.500815230091119137155686687091443752631422150.00%80100.00%1886180749.03%855182846.77%723138852.09%166992917277501443714
7Condors714000112436-12311000011215-3403000101221-950.35724396300911191371524786687091443262837913230413.33%37781.08%2886180749.03%855182846.77%723138852.09%166992917277501443714
8Crunch22000000853110000004311100000042241.000813210091119137156686687091443552114579222.22%7185.71%0886180749.03%855182846.77%723138852.09%166992917277501443714
9Eagles31101000131301100000043120101000910-140.667132134109111913715113866870914439926146620630.00%7271.43%0886180749.03%855182846.77%723138852.09%166992917277501443714
10Griffins622001012325-2310001011513231200000812-460.50023406300911191371519986687091443196776812032515.63%35488.57%0886180749.03%855182846.77%723138852.09%166992917277501443714
11Icehogs42101000151143200100012751010000034-160.7501527420091119137151428668709144314139277319631.58%11463.64%0886180749.03%855182846.77%723138852.09%166992917277501443714
12Islander211000001091110000007431010000035-220.500101626109111913715678668709144373232498337.50%20100.00%0886180749.03%855182846.77%723138852.09%166992917277501443714
13Little Stars2110000069-31010000026-41100000043120.50061117009111913715738668709144357241845500.00%9277.78%1886180749.03%855182846.77%723138852.09%166992917277501443714
14Marlies32000100151232200000012841000010034-150.83315223700911191371595866870914431044044915320.00%20100.00%0886180749.03%855182846.77%723138852.09%166992917277501443714
15Moose64200000333033210000018153321000001515080.66733568900911191371522586687091443206895812019526.32%29968.97%4886180749.03%855182846.77%723138852.09%166992917277501443714
16Penguins2010100056-11010000013-21000100043120.5005813009111913715778668709144368218326116.67%40100.00%0886180749.03%855182846.77%723138852.09%166992917277501443714
17Phantoms33000000229131100000084422000000145961.000223860009111913715101866870914438529376319947.37%11372.73%0886180749.03%855182846.77%723138852.09%166992917277501443714
18Punishers211000001183110000007341010000045-120.5001119300091119137156486687091443522214328225.00%7185.71%0886180749.03%855182846.77%723138852.09%166992917277501443714
19Reign321000008802110000035-21100000053240.6678142200911191371593866870914431142416609222.22%80100.00%0886180749.03%855182846.77%723138852.09%166992917277501443714
20Rocket6220101028226310010101910931200000912-380.66728437100911191371518586687091443215624211333618.18%21576.19%1886180749.03%855182846.77%723138852.09%166992917277501443714
21Senators32100000171341100000064221100000119240.667173047009111913715100866870914431126020729333.33%10370.00%0886180749.03%855182846.77%723138852.09%166992917277501443714
22Silver Knights220000001394110000008531100000054141.0001323360091119137157786687091443681723459444.44%50100.00%0886180749.03%855182846.77%723138852.09%166992917277501443714
23Thunderbirds32100000171162200000013671010000045-140.66717274400911191371592866870914439934285611654.55%14192.86%2886180749.03%855182846.77%723138852.09%166992917277501443714
24Wolfpack20000110101001000010023-11000001087130.7501017270091119137156386687091443662120386116.67%10190.00%0886180749.03%855182846.77%723138852.09%166992917277501443714
25Wranglers302001001016-61010000012-120100100914-510.16710172700911191371597866870914439432187011218.18%9277.78%0886180749.03%855182846.77%723138852.09%166992917277501443714
Total803727064333563263040249022121891513840131804221167175-8990.619356597953209111913715267186687091443271192065015953238426.01%2985780.87%12886180749.03%855182846.77%723138852.09%166992917277501443714
_Since Last GM Reset803727064333563263040249022121891513840131804221167175-8990.619356597953209111913715267186687091443271192065015953238426.01%2985780.87%12886180749.03%855182846.77%723138852.09%166992917277501443714
_Vs Conference5224170332323121120261550211212696302691201211105115-10640.615231386617009111913715174386687091443179762442910032225223.42%2034478.33%8886180749.03%855182846.77%723138852.09%166992917277501443714
_Vs Division2591001122108113-51252011126453111348000104460-16270.540108178286009111913715856866870914438793112474851142017.54%1222579.51%7886180749.03%855182846.77%723138852.09%166992917277501443714

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8099W135659795326712711920650159520
All Games
GPWLOTWOTL SOWSOLGFGA
8037276433356326
Home Games
GPWLOTWOTL SOWSOLGFGA
402492212189151
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4013184221167175
Last 10 Games
WLOTWOTL SOWSOL
531001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3238426.01%2985780.87%12
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
866870914439111913715
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
886180749.03%855182846.77%723138852.09%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
166992917277501443714


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
11Barracuda5Moose8LBoxScore
316Griffins3Barracuda7WR1BoxScore
525Barracuda3Griffins1WBoxScore
739Barracuda2Condors4LR1BoxScore
847Moose2Barracuda6WBoxScore
1370Rocket4Barracuda11WBoxScore
1579Barracuda2Rocket3LBoxScore
1685Barracuda3Condors4LR1BoxScore
19101Icehogs3Barracuda5WBoxScore
22120Americans2Barracuda7WBoxScore
26137Condors4Barracuda3LXXR1BoxScore
28149Barracuda3Rocket2WBoxScore
31165Condors4Barracuda6WR1BoxScore
35187Rocket3Barracuda4WXBoxScore
37195Barracuda4Americans6LBoxScore
39210Barracuda4Little Stars3WBoxScore
41218Little Stars6Barracuda2LBoxScore
45238Griffins7Barracuda6LXR1BoxScore
49254Barracuda4Crunch2WBoxScore
51264Bears4Barracuda2LBoxScore
54276Barracuda3Comets5LBoxScore
56292Griffins3Barracuda2LXXR1BoxScore
61313Wolfpack3Barracuda2LXBoxScore
63326Barracuda3Canucks5LBoxScore
66340Americans1Barracuda3WBoxScore
68358Barracuda5Bears1WBoxScore
70367Marlies4Barracuda6WBoxScore
72379Barracuda4Penguins3WXBoxScore
74392Americans4Barracuda3LBoxScore
77402Barracuda3Marlies4LXBoxScore
79414Barracuda4Wranglers8LBoxScore
81419Barracuda4Moose3WBoxScore
83430Rocket3Barracuda4WXXBoxScore
85445Barracuda6Moose4WBoxScore
87452Reign4Barracuda1LBoxScore
89466Barracuda3Icehogs4LBoxScore
92478Reign1Barracuda2WBoxScore
95497Barracuda3Islander5LBoxScore
97507Crunch3Barracuda4WBoxScore
99522Barracuda4Eagles3WXBoxScore
101533Condors7Barracuda3LR1BoxScore
103542Barracuda2Condors9LBoxScore
105552Barracuda4Americans2WBoxScore
107561Canucks4Barracuda5WBoxScore
110575Barracuda4Punishers5LBoxScore
112589Admirals6Barracuda7WBoxScore
114597Barracuda8Phantoms4WBoxScore
116611Barracuda4Rocket7LBoxScore
118618Phantoms4Barracuda8WBoxScore
122639Silver Knights5Barracuda8WBoxScore
124657Barracuda8Wolfpack7WXXBoxScore
126666Penguins3Barracuda1LBoxScore
130686Eagles3Barracuda4WBoxScore
132697Barracuda6Senators7LBoxScore
134710Wranglers2Barracuda1LBoxScore
137726Barracuda5Silver Knights4WBoxScore
139739Moose9Barracuda6LBoxScore
141747Barracuda5Senators2WBoxScore
143762Barracuda5Reign3WBoxScore
144770Islander4Barracuda7WBoxScore
146781Barracuda5Eagles7LBoxScore
148794Comets2Barracuda5WBoxScore
150806Barracuda6Phantoms1WBoxScore
153818Barracuda5Admirals4WXBoxScore
155826Marlies4Barracuda6WBoxScore
158839Barracuda6Checkers5WXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
160851Checkers9Barracuda3LBoxScore
162863Barracuda5Condors4WXXR1BoxScore
165874Barracuda5Wranglers6LXBoxScore
166881Icehogs2Barracuda4WBoxScore
169893Barracuda3Admirals4LXXBoxScore
171905Barracuda3Griffins6LR1BoxScore
172910Punishers3Barracuda7WBoxScore
175924Barracuda4Thunderbirds5LBoxScore
176936Senators4Barracuda6WBoxScore
180954Barracuda2Griffins5LR1BoxScore
181962Moose4Barracuda6WBoxScore
186987Thunderbirds2Barracuda7WBoxScore
1901008Icehogs2Barracuda3WXBoxScore
1991037Thunderbirds4Barracuda6WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance74,11237,182
Attendance PCT92.64%92.96%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2782 - 92.75% 175,222$7,008,875$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,618,013$ 2,004,500$ 2,004,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,973$ 1,944,863$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 13,206$ 13,206$




Barracuda Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Barracuda Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Barracuda Career Team Stats

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

Barracuda Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Barracuda Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA