SAN JOSE AVACADOES

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Sean S | Morale : 50 | Team Overall : 65
Next Games #5 vs BROOKLYN GRINDERS
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 SP
1Steve OttXX100.0099991657397878473707874629999050740
2Artturi Lehkonen (R)XX100.00772678848085828147767364557977050722
3Johannes SalmonssonX100.00999943677548677649787488599888050722
4Tyler EnnisXX100.00312399706874897452777570789996047710
5Kerby RychelX100.00725564828083857248747169548178050711
6Zack StortiniX100.00999910678163896775686285789999050710
7Nolan Patrick (R)X100.00513069837781827469717368607871050701
8Logan Brown (R)X100.00593486808779897067717159658167050691
9Mattias TedenbyX100.0021199667270776739727079779999047680
10Kirill Kaprizov (R)X100.00503376798480846743676462597167050662
11Oskar Lindblom (R)X100.00605266787877727143657062517370050662
12Trent Frederic (R)X100.00721768798072746154665463568373050651
13John Hayden (R)XXX100.00394197808076796965626164547969050652
14Shane O'BrienX100.00999936568266706760585679589999050700
15Will Butcher (R)X100.00776839817980846944615069567768050692
16Evan Bouchard (R)X100.00744276667275676330645470636563050652
17Cody FransonX100.0023699608270706550535378699999050650
18Erik Brännström (R)X100.00481979767880786840644764426962050651
19Bowen Byram (R)X100.00774361696467636844606362505985047631
Scratches
1Troy Terry (R)X100.0036386797274766167626565607974050642
2Jakob Forsbacka-Karlsson (R)X100.0025199777680766755605558547474050622
3AJ Greer (R)X100.00605566687659706345575959586365050602
4Stelio Mattheos (R)X100.00462955687062636343605862555861050592
5Egor Afanasyev (R)X100.00281771606457636554676354585558047582
6Ivan Morozov (R)X100.00161688697256675960585658556256050572
7Tyler Madden (R)X100.00341383746167595560575455636162050572
8Philipp Kurashev (R)X100.00331376637366636056605754606255047572
9Scott Walford (R)X100.00653366716860586140595758455859050602
10Zachary Jones (R)X100.00564676636460646044615259485458047582
11Mike Anderson (R)X100.00636460636959575240555557486055050572
TEAM AVERAGE100.0056396971757173675264626658767404965
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 SP
1Anders Lindback100.0080878683787080787770719689050770
2Antti Niemi100.0058606082678084878965609883050750
Scratches
1Evan Fitzpatrick (R)100.0062646379687066687058586162050652
2Christopher Gibson100.0061686680696059575753617463050622
3Jakub Škarek (R)100.0069585870616362606261606060050612
4Jeremy Swayman (R)100.0063586071655759605958586060047602
TEAM AVERAGE100.006666667868676868696161757005067
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Haviland80897682878763USA491784,000$


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 AverageSalary Ave 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
AJ GreerSAN JOSE AVACADOES (SAJ)LW235/29/1997 4:06:37 AMYes199 Lbs6 ft4NoNoNo3Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$500,000$
Anders LindbackSAN JOSE AVACADOES (SAJ)G321/3/1988No216 Lbs6 ft6NoNoNo2Pro & Farm800,000$800,000$40,000$40,000$80,000$80,000$No800,000$
Antti NiemiSAN JOSE AVACADOES (SAJ)G375/29/1983No224 Lbs6 ft2NoNoNo1Pro & Farm1,604,250$1,604,250$40,000$40,000$160,425$160,425$No
Artturi LehkonenSAN JOSE AVACADOES (SAJ)LW/RW257/4/1995 4:22:12 AMYes173 Lbs6 ft0NoNoNo2Pro & Farm800,000$800,000$40,000$40,000$80,000$80,000$No800,000$
Bowen Byram (Out of Payroll)SAN JOSE AVACADOES (SAJ)D196/13/2001 3:00:23 AMYes192 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$40,000$40,000$0$0$Yes750,000$750,000$
Christopher GibsonSAN JOSE AVACADOES (SAJ)G2712/27/1992 8:06:51 AMNo214 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Cody FransonSAN JOSE AVACADOES (SAJ)D338/8/1987No225 Lbs6 ft5NoNoNo1Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No
Egor Afanasyev (Out of Payroll)SAN JOSE AVACADOES (SAJ)LW196/1/2001 6:22:59 AMYes180 Lbs6 ft0NoNoNo3Pro & Farm650,000$650,000$40,000$40,000$0$0$Yes650,000$650,000$
Erik BrännströmSAN JOSE AVACADOES (SAJ)D219/2/1999 5:22:21 AMYes191 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No
Evan BouchardSAN JOSE AVACADOES (SAJ)D2010/20/1999 5:04:01 AMYes197 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$
Evan FitzpatrickSAN JOSE AVACADOES (SAJ)G226/1/1998 10:49:02 AMYes210 Lbs6 ft2NoNoNo5Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No650,000$650,000$650,000$650,000$
Ivan MorozovSAN JOSE AVACADOES (SAJ)C216/1/1999 7:48:27 AMYes184 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$
Jakob Forsbacka-KarlssonSAN JOSE AVACADOES (SAJ)C2310/31/1996 4:42:10 AMYes203 Lbs6 ft3NoNoNo3Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No650,000$650,000$
Jakub ŠkarekSAN JOSE AVACADOES (SAJ)G2011/10/1999 4:25:04 AMYes169 Lbs6 ft2NoNoNo2Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No550,000$
Jeremy Swayman (Out of Payroll)SAN JOSE AVACADOES (SAJ)G2111/24/1998 9:27:16 AMYes187 Lbs6 ft3NoNoNo3Pro & Farm550,000$550,000$40,000$40,000$0$0$Yes550,000$550,000$
Johannes SalmonssonSAN JOSE AVACADOES (SAJ)LW346/21/1986 9:42:07 AMNo196 Lbs6 ft2NoNoNo2Pro & Farm790,300$790,300$40,000$40,000$79,030$79,030$No790,300$
John HaydenSAN JOSE AVACADOES (SAJ)C/LW/RW256/22/1995 7:36:19 AMYes200 Lbs6 ft0NoNoNo1Pro & Farm400,000$400,000$40,000$40,000$40,000$40,000$No
Kerby RychelSAN JOSE AVACADOES (SAJ)LW2510/7/1994 1:38:55 AMNo219 Lbs6 ft1NoNoNo2Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No650,000$
Kirill KaprizovSAN JOSE AVACADOES (SAJ)LW234/26/1997 3:39:09 AMYes196 Lbs5 ft11NoNoNo2Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No600,000$
Logan BrownSAN JOSE AVACADOES (SAJ)C223/5/1998 7:22:40 AMYes220 Lbs6 ft6NoNoNo3Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$750,000$
Mattias TedenbySAN JOSE AVACADOES (SAJ)LW302/21/1990No191 Lbs5 ft10NoNoNo1Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No
Mike Anderson SAN JOSE AVACADOES (SAJ)D216/1/1999 9:08:14 AMYes206 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$
Nolan PatrickSAN JOSE AVACADOES (SAJ)C229/19/1998 4:29:33 AMYes211 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No
Oskar LindblomSAN JOSE AVACADOES (SAJ)LW248/15/1996 7:20:22 AMYes205 Lbs6 ft6NoNoNo2Pro & Farm400,000$400,000$40,000$40,000$40,000$40,000$No400,000$
Philipp KurashevSAN JOSE AVACADOES (SAJ)C2010/12/1999 5:54:13 AMYes196 Lbs6 ft1NoNoNo3Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$500,000$
Scott WalfordSAN JOSE AVACADOES (SAJ)D216/1/1999 8:00:01 AMYes186 Lbs6 ft3NoNoNo1Pro & Farm400,000$400,000$40,000$40,000$40,000$40,000$No
Shane O'BrienSAN JOSE AVACADOES (SAJ)D378/9/1983No238 Lbs6 ft3NoNoNo1Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No
Stelio Mattheos SAN JOSE AVACADOES (SAJ)RW216/1/1999 8:06:33 AMYes183 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$
Steve OttSAN JOSE AVACADOES (SAJ)C/RW388/19/1982No197 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$40,000$40,000$80,000$80,000$No
Trent FredericSAN JOSE AVACADOES (SAJ)C222/11/1998 9:03:42 AMYes220 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$750,000$
Troy TerrySAN JOSE AVACADOES (SAJ)C239/10/1997 12:38:21 AMYes178 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Tyler EnnisSAN JOSE AVACADOES (SAJ)C/LW3010/6/1989No175 Lbs5 ft9NoNoNo1Pro & Farm1,440,000$1,440,000$40,000$40,000$144,000$144,000$No
Tyler MaddenSAN JOSE AVACADOES (SAJ)C216/1/1999 4:17:09 AMYes203 Lbs6 ft2NoNoNo2Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No650,000$
Will ButcherSAN JOSE AVACADOES (SAJ)D256/22/1995 11:59:59 AMYes194 Lbs6 ft3NoNoNo1Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No
Zachary Jones (Out of Payroll)SAN JOSE AVACADOES (SAJ)D196/1/2001 8:08:31 AMYes200 Lbs6 ft0NoNoNo3Pro & Farm500,000$500,000$40,000$40,000$0$0$Yes500,000$500,000$
Zack StortiniSAN JOSE AVACADOES (SAJ)RW359/11/1985No227 Lbs6 ft4NoNoNo1Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3625.03200 Lbs6 ft21.94663,460$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kirill KaprizovNolan PatrickArtturi Lehkonen36014
2Kerby RychelLogan BrownJohn Hayden30014
3Johannes SalmonssonSteve OttZack Stortini22041
4Oskar LindblomTyler EnnisMattias Tedenby12122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bowen ByramEvan Bouchard40122
2Erik BrännströmWill Butcher32122
3Shane O'BrienCody Franson26131
4Evan BouchardBowen Byram2122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelNolan PatrickJohn Hayden55005
2Kirill KaprizovLogan BrownArtturi Lehkonen45113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik BrännströmBowen Byram58014
2Evan BouchardWill Butcher42113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Trent FredericSteve Ott60131
2Zack StortiniJohannes Salmonsson40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Shane O'BrienWill Butcher51050
2Bowen ByramEvan Bouchard49050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Steve Ott50050Shane O'BrienWill Butcher50050
2Zack Stortini50050Bowen ByramEvan Bouchard50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Logan BrownKerby Rychel60122
2Nolan PatrickKirill Kaprizov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik BrännströmWill Butcher50122
2Bowen ByramEvan Bouchard50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kirill KaprizovNolan PatrickJohn HaydenEvan BouchardBowen Byram
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Johannes SalmonssonSteve OttZack StortiniShane O'BrienWill Butcher
Extra Forwards
Normal PowerPlayPenalty Kill
Nolan Patrick, John Hayden, Kirill KaprizovJohn Hayden, Artturi LehkonenKerby Rychel
Extra Defensemen
Normal PowerPlayPenalty Kill
Will Butcher, Evan Bouchard, Erik BrännströmBowen ByramEvan Bouchard, Will Butcher
Penalty Shots
Tyler Ennis, Zack Stortini, Logan Brown, Nolan Patrick, Mattias Tedenby
Goalie
#1 : Antti Niemi, #2 : Anders Lindback
Custom OT Lines Forwards
John Hayden, Nolan Patrick, Kirill Kaprizov, Logan Brown, Oskar Lindblom, Artturi Lehkonen, Artturi Lehkonen, Trent Frederic, Kerby Rychel, Mattias Tedenby, Steve Ott
Custom OT Lines Defensemen
Will Butcher, Bowen Byram, Evan Bouchard, Shane O'Brien, Erik Brännström


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
1 - 2020-09-085SAN JOSE AVACADOES-BROOKLYN GRINDERS-
2 - 2020-09-0914DETROIT STEELERS-SAN JOSE AVACADOES-
4 - 2020-09-1122SAN JOSE AVACADOES-BROOKLYN GRINDERS-
5 - 2020-09-1227SAN JOSE AVACADOES-PENSACOLA BLACK BEARS-
7 - 2020-09-1442CAPE BRETON LEPRECHAUNS-SAN JOSE AVACADOES-
10 - 2020-09-1756SAN JOSE AVACADOES-NORTH VAN ROCKERS-
11 - 2020-09-1866PHILADELPHIA PHANTOMS-SAN JOSE AVACADOES-
12 - 2020-09-1975SAN JOSE AVACADOES-CHICAGO UNDERTAKERS-
14 - 2020-09-2187SAN JOSE AVACADOES-CHICAGO UNDERTAKERS-
16 - 2020-09-2398BANGOR PUPPIES-SAN JOSE AVACADOES-
18 - 2020-09-25112COLORADO CUBS-SAN JOSE AVACADOES-
19 - 2020-09-26118SAN JOSE AVACADOES-CAPE FEAR WILDCATS-
20 - 2020-09-27130CAPE FEAR WILDCATS-SAN JOSE AVACADOES-
22 - 2020-09-29146PENSACOLA BLACK BEARS-SAN JOSE AVACADOES-
24 - 2020-10-01157SAN JOSE AVACADOES-NORTH VAN ROCKERS-
25 - 2020-10-02165SAN JOSE AVACADOES-PENSACOLA BLACK BEARS-
27 - 2020-10-04174PHILADELPHIA PHANTOMS-SAN JOSE AVACADOES-
28 - 2020-10-05183SAN JOSE AVACADOES-BROOKLYN GRINDERS-
30 - 2020-10-07195EDMONTON OILERS-SAN JOSE AVACADOES-
32 - 2020-10-09210NEWTON NIGHTHAWKS-SAN JOSE AVACADOES-
34 - 2020-10-11223SAN JOSE AVACADOES-BANGOR PUPPIES-
35 - 2020-10-12231LAS CRUCES MESCALEROS-SAN JOSE AVACADOES-
37 - 2020-10-14247SAN JOSE AVACADOES-CHICAGO UNDERTAKERS-
39 - 2020-10-16256PHILADELPHIA PHANTOMS-SAN JOSE AVACADOES-
41 - 2020-10-18268DETROIT STEELERS-SAN JOSE AVACADOES-
42 - 2020-10-19275SAN JOSE AVACADOES-PHILADELPHIA PHANTOMS-
45 - 2020-10-22291SAN JOSE AVACADOES-CAPE BRETON LEPRECHAUNS-
46 - 2020-10-23298BANGOR PUPPIES-SAN JOSE AVACADOES-
47 - 2020-10-24312SAN JOSE AVACADOES-LAS CRUCES MESCALEROS-
49 - 2020-10-26322NORTH VAN ROCKERS-SAN JOSE AVACADOES-
50 - 2020-10-27331SAN JOSE AVACADOES-BANGOR PUPPIES-
51 - 2020-10-28342CHICAGO UNDERTAKERS-SAN JOSE AVACADOES-
53 - 2020-10-30356SAN JOSE AVACADOES-CHICAGO UNDERTAKERS-
55 - 2020-11-01365CAPE BRETON LEPRECHAUNS-SAN JOSE AVACADOES-
56 - 2020-11-02375SAN JOSE AVACADOES-COLORADO CUBS-
58 - 2020-11-04388PHILADELPHIA PHANTOMS-SAN JOSE AVACADOES-
60 - 2020-11-06397SAN JOSE AVACADOES-EDMONTON OILERS-
61 - 2020-11-07408SAN JOSE AVACADOES-CALGARY WRANGLERS-
63 - 2020-11-09416CALGARY WRANGLERS-SAN JOSE AVACADOES-
66 - 2020-11-12431SAN JOSE AVACADOES-VANCOUVER THOUSANDAIRES-
67 - 2020-11-13437BROOKLYN GRINDERS-SAN JOSE AVACADOES-
70 - 2020-11-16454COLORADO CUBS-SAN JOSE AVACADOES-
72 - 2020-11-18466SAN JOSE AVACADOES-PENSACOLA BLACK BEARS-
73 - 2020-11-19474SAN JOSE AVACADOES-CALGARY WRANGLERS-
74 - 2020-11-20482NORTH VAN ROCKERS-SAN JOSE AVACADOES-
76 - 2020-11-22497VANCOUVER THOUSANDAIRES-SAN JOSE AVACADOES-
78 - 2020-11-24510SAN JOSE AVACADOES-NORTH VAN ROCKERS-
79 - 2020-11-25515SAN JOSE AVACADOES-CAPE FEAR WILDCATS-
80 - 2020-11-26525PENSACOLA BLACK BEARS-SAN JOSE AVACADOES-
82 - 2020-11-28541HAWAII PUNCH-SAN JOSE AVACADOES-
84 - 2020-11-30554SAN JOSE AVACADOES-PENSACOLA BLACK BEARS-
85 - 2020-12-01560SAN JOSE AVACADOES-DETROIT STEELERS-
87 - 2020-12-03571CAPE BRETON LEPRECHAUNS-SAN JOSE AVACADOES-
88 - 2020-12-04585EDMONTON OILERS-SAN JOSE AVACADOES-
90 - 2020-12-06596SAN JOSE AVACADOES-COLORADO CUBS-
91 - 2020-12-07604SAN JOSE AVACADOES-DETROIT STEELERS-
92 - 2020-12-08613MANHATTAN SWEDES-SAN JOSE AVACADOES-
94 - 2020-12-10626SAN JOSE AVACADOES-NEWTON NIGHTHAWKS-
96 - 2020-12-12635DETROIT STEELERS-SAN JOSE AVACADOES-
98 - 2020-12-14650CALGARY WRANGLERS-SAN JOSE AVACADOES-
99 - 2020-12-15661SAN JOSE AVACADOES-PHILADELPHIA PHANTOMS-
100 - 2020-12-16667SAN JOSE AVACADOES-PINCHER CREEK WOLVERINES-
101 - 2020-12-17679PINCHER CREEK WOLVERINES-SAN JOSE AVACADOES-
104 - 2020-12-20694SAN JOSE AVACADOES-SYRACUSE BABY BULLS-
105 - 2020-12-21702NEWTON NIGHTHAWKS-SAN JOSE AVACADOES-
107 - 2020-12-23717BROOKLYN GRINDERS-SAN JOSE AVACADOES-
109 - 2020-12-25726SAN JOSE AVACADOES-BROOKLYN GRINDERS-
111 - 2020-12-27738SYRACUSE BABY BULLS-SAN JOSE AVACADOES-
113 - 2020-12-29753CAPE FEAR WILDCATS-SAN JOSE AVACADOES-
114 - 2020-12-30763SAN JOSE AVACADOES-HAWAII PUNCH-
Trade Deadline --- Trades can’t be done after this day is simulated!
115 - 2020-12-31772SAN JOSE AVACADOES-COQUITLAM EXPRESS-
117 - 2021-01-02784LAS CRUCES MESCALEROS-SAN JOSE AVACADOES-
119 - 2021-01-04798SAN JOSE AVACADOES-MANHATTAN SWEDES-
120 - 2021-01-05804COLORADO CUBS-SAN JOSE AVACADOES-
122 - 2021-01-07821HALIFAX HELL-SAN JOSE AVACADOES-
123 - 2021-01-08828SAN JOSE AVACADOES-CAPE BRETON LEPRECHAUNS-
126 - 2021-01-11842SAN JOSE AVACADOES-CALGARY WRANGLERS-
127 - 2021-01-12852COQUITLAM EXPRESS-SAN JOSE AVACADOES-
129 - 2021-01-14864CHICAGO UNDERTAKERS-SAN JOSE AVACADOES-
130 - 2021-01-15872SAN JOSE AVACADOES-CAPE FEAR WILDCATS-
131 - 2021-01-16879SAN JOSE AVACADOES-BROOKLYN GRINDERS-
134 - 2021-01-19893SAN JOSE AVACADOES-HALIFAX HELL-
135 - 2021-01-20900BANGOR PUPPIES-SAN JOSE AVACADOES-
138 - 2021-01-23920COLORADO CUBS-SAN JOSE AVACADOES-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
42 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,388,455$ 144,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,143,455$ 0$ 32 4

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 139 22,823$ 3,172,397$




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
8843725096342902504042131506422137141-44224100321215310944742904887781252120106162631847906843622521824216318152545923.23%3778876.66%7956179753.20%991186353.19%674126453.32%1803103117917901513733
Total Regular Season843725096342902504042131506422137141-44224100321215310944742904887781252120106162631847906843622521824216318152545923.23%3778876.66%7956179753.20%991186353.19%674126453.32%1803103117917901513733