Please rotate your device to landscape mode for a better experience.
Login

Abbotsford
GP: 82 | W: 36 | L: 38 | OTL: 8 | P: 80
GF: 253 | GA: 280 | PP%: 14.38% | PK%: 77.43%
GM : Maxime Montanaro | Morale : 50 | Team Overall : N/A

Game Center
San Jose
51-27-4, 106pts
2
FINAL
5 Abbotsford
36-38-8, 80pts
Team Stats
W1StreakL1
28-10-3Home Record19-18-4
23-17-1Home Record17-20-4
7-1-2Last 10 Games5-4-1
3.61Goals Per Game3.09
2.89Goals Against Per Game3.41
22.82%Power Play Percentage14.38%
81.74%Penalty Kill Percentage77.43%
Abbotsford
36-38-8, 80pts
2
FINAL
4 San Diego
41-31-10, 92pts
Team Stats
L1StreakL1
19-18-4Home Record24-12-5
17-20-4Home Record17-19-5
5-4-1Last 10 Games6-3-1
3.09Goals Per Game3.21
3.41Goals Against Per Game3.16
14.38%Power Play Percentage17.38%
77.43%Penalty Kill Percentage80.65%
Team Leaders
Goals
Brandon Duhaime
27
Assists
Jakub Voracek
41
Points
Josh Bailey
65
Plus/Minus
Zack Trotman
18
Wins
Miika Wiikman
20
Save Percentage
Jimmy Howard
0.919

Team Stats
Goals For
253
3.09 GFG
Shots For
2935
35.79 Avg
Power Play Percentage
14.4%
45 GF
Offensive Zone Start
40.0%
Goals Against
280
3.41 GAA
Shots Against
3301
40.26 Avg
Penalty Kill Percentage
77.4%%
79 GA
Defensive Zone Start
43.6%
Team Info

General ManagerMaxime Montanaro
CoachMike Sullivan
DivisionPacifique
ConferenceConference ouest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,216
Season Tickets300


Roster Info

Pro Team21
Farm Team18
Contract Limit39 / 50
Prospects34


Team History

This Season36-38-8 (80PTS)
History0-0-0
Stanley Cup0


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
1Jori LehteraXXX100.00633191568171876681626863797472185000351800,000$
2Tomas NosekXX100.00682795668672886973667071836458425000303900,000$
3Nick FolignoX100.00844186738772856768677068768484175000352800,000$
4Jakub VoracekXX100.00693293697980947567727359758270225000332800,000$
5Scott WilsonXX100.007435757179728869706669597659504050003111,000,000$
6Maxime TalbotXXX100.0063329337655868655666667681989995000392800,000$
7Artem AnisimovXXX100.00673494568075916863677174847474235000353900,000$
8Brandon Duhaime (R)XX100.00937077788574996970687175755352545000261600,000$
9Loui ErikssonXX100.00663394557678967168687371798987225000372970,000$
10Nicolas KerdilesX100.00632991718671786776646357795547355000292600,000$
11Sergei KalininXXX100.00723471678472877072697059786249345000321900,000$
12Joakim NordstromXX100.00662889687682896568666465766046355000311900,000$
13Josh BaileyXX100.00583098728580927177727271857677275000332800,000$
14Jakub JerabekX100.00663179697979885550515186756664315000321700,000$
15Cameron GaunceX100.00794446629272894650444888697468185000333975,000$
16Nathan BeaulieuX100.00763465728376694950484283756664295000301750,000$
17Matt HunwickX100.00612482547170815050454687758479155000372875,000$
18Zack TrotmanX100.00683078648282944750454480706650335000321600,000$
19Marc-Andre BourdonX100.006435767577889055255354866575643550003311,210,000$
Scratches
TEAM AVERAGE100.0069348365817587636261627377726628500
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
Scratches
1Jimmy Howard99.005690828169828284837974999975000391975,000$
2Miika Wiikman100.006481777471888988897162999315000381990,000$
TEAM AVERAGE99.50608680787085868686756899964500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Sullivan77778862969968USA562725,000$


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
1Josh BaileyAbbotsford (VAN)C/RW6925406510015181270682029.26%24152822.1547114822701152315149.79%212100000.8524000373
2Nick FolignoAbbotsford (VAN)C73243862592101861662326817310.34%20147220.17211134621910181914248.79%214400010.8403101716
3Jakub VoracekAbbotsford (VAN)LW/RW82204161-12157087280882347.14%15160119.531131458274011101542147.10%15500010.7624001343
4Brandon DuhaimeAbbotsford (VAN)LW/RW64273360110220227105316742378.54%26135821.226101658204000101715342.32%26700110.8814202533
5Loui ErikssonAbbotsford (VAN)LW/RW78193352-2804085252742037.54%23155920.0058136023610181421350.86%29100000.6713000222
6Tomas NosekAbbotsford (VAN)LW/RW82173451-11205879234791747.26%14126415.42381137151000002148.21%11200000.8101000132
7Jakub JerabekAbbotsford (VAN)D7219274674606482146418913.01%149164622.867411672260222232200%000000.5601000330
8Sergei KalininAbbotsford (VAN)C/LW/RW821822401449597551804311510.00%1196211.73000200001123152.03%14800000.8300010123
9Artem AnisimovAbbotsford (VAN)C/LW/RW67192039118034103204611619.31%17107416.0444832144000031346.05%74700000.7301000114
10Nathan BeaulieuAbbotsford (VAN)D7782331-39401225210026668.00%108158120.54459432260000212200%000000.3900000012
11Marc-Andre BourdonAbbotsford (VAN)D5352429-11140285710436834.81%102129524.455712601670001191010%000000.4500000011
12Maxime TalbotAbbotsford (VAN)C/LW/RW791016265120219410736789.35%35101912.91000140000690043.43%96700000.5100000011
13Zack TrotmanAbbotsford (VAN)D72421251853584385116407.84%122110215.31011050000106000%000000.4500010020
14Scott WilsonAbbotsford (VAN)LW/RW82617237540994711040835.45%2491111.11000000000220043.94%6600000.5000000002
15Matt HunwickAbbotsford (VAN)D8232023350045618529493.53%117131616.051121677000176100%000100.3500000000
16Cameron GaunceAbbotsford (VAN)D6471522-2143151665011142816.31%128146222.86224472000001165200%000000.3000021102
17Jori LehteraAbbotsford (VAN)C/LW/RW829514060254257185715.79%74966.0600000000002050.33%44900000.5600000001
18Joakim NordstromAbbotsford (VAN)LW/RW71381166020205122525.88%63444.8600000000000237.50%2400000.6400000001
19Nicolas KerdilesAbbotsford (VAN)LW7142600091322112218.18%22122.991012130000110150.00%7800000.5700000010
Team Total or Average1402247439686487806014101417291287221998.48%9502221115.8445811265772382246471993321948.01%756900230.62621345273236
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
1Miika WiikmanAbbotsford (VAN)39201340.9173.2923146012715340200.778183827512
2Jimmy HowardAbbotsford (VAN)27101610.9193.261564408510460140.80052637105
3Alex StalockVancouver155730.9213.069030146579011001511220
Team Total or Average81353680.9183.2447821012583159045237975837


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 Country 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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
Artem AnisimovAbbotsford (VAN)C/LW/RW351988-05-24RUSNo203 Lbs6 ft3NoNoFree AgentNoNo32024-09-24FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Brandon DuhaimeAbbotsford (VAN)LW/RW261997-05-22USAYes200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------
Cameron GaunceAbbotsford (VAN)D331990-03-19CANNo206 Lbs6 ft2NoNoTrade2024-10-08NoNo32024-09-24FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Link
Jakub JerabekAbbotsford (VAN)D321991-05-12CZENo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Link
Jakub VoracekAbbotsford (VAN)LW/RW331989-08-15CZENo209 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Jimmy HowardAbbotsford (VAN)G391984-03-26USANo224 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No---------------------------Link
Joakim NordstromAbbotsford (VAN)LW/RW311992-02-25SWENo197 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Jori LehteraAbbotsford (VAN)C/LW/RW351987-12-23FINNo212 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Link
Josh BaileyAbbotsford (VAN)C/RW331989-10-02CANNo200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Loui ErikssonAbbotsford (VAN)LW/RW371985-07-17SWENo186 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm970,000$0$0$No970,000$--------970,000$--------No--------Link
Marc-Andre BourdonAbbotsford (VAN)D331989-09-17CANNo207 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,210,000$0$0$No---------------------------Link
Matt HunwickAbbotsford (VAN)D371985-08-05USANo203 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Link
Maxime TalbotAbbotsford (VAN)C/LW/RW391984-02-11CANNo196 Lbs5 ft11NoNoFree AgentNoNo22024-10-02FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Miika WiikmanAbbotsford (VAN)G381984-10-17SWENo190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm990,000$0$0$No---------------------------
Nathan BeaulieuAbbotsford (VAN)D301992-12-05CANNo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Nick FolignoAbbotsford (VAN)C351987-10-31USANo211 Lbs6 ft0NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link / NHL Link
Nicolas KerdilesAbbotsford (VAN)LW291994-01-11USANo196 Lbs6 ft2NoNoFree AgentNoNo22024-09-28FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------Link
Scott WilsonAbbotsford (VAN)LW/RW311992-04-24CANNo189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Link
Sergei KalininAbbotsford (VAN)C/LW/RW321991-03-17RUSNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Tomas NosekAbbotsford (VAN)LW/RW301992-09-01CZENo214 Lbs6 ft3NoNoFree AgentNoNo32024-10-02FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link / NHL Link
Zack TrotmanAbbotsford (VAN)D321990-08-26USANo228 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2133.33204 Lbs6 ft11.62849,762$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon DuhaimeJosh BaileyJakub Voracek35122
2Loui ErikssonNick FolignoTomas Nosek30122
3Maxime TalbotArtem AnisimovSergei Kalinin25122
4Scott WilsonJori LehteraJoakim Nordstrom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc-Andre BourdonCameron Gaunce35122
2Jakub JerabekNathan Beaulieu30122
3Matt HunwickZack Trotman25122
4Marc-Andre BourdonCameron Gaunce10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon DuhaimeJosh BaileyJakub Voracek50122
2Loui ErikssonNick FolignoTomas Nosek50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc-Andre BourdonCameron Gaunce50122
2Jakub JerabekNathan Beaulieu50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Josh BaileyBrandon Duhaime50122
2Nick FolignoJakub Voracek50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc-Andre BourdonCameron Gaunce50122
2Jakub JerabekNathan Beaulieu50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Josh Bailey50122Marc-Andre BourdonCameron Gaunce50122
2Brandon Duhaime50122Jakub JerabekNathan Beaulieu50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh BaileyBrandon Duhaime50122
2Nick FolignoJakub Voracek50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc-Andre BourdonCameron Gaunce50122
2Jakub JerabekNathan Beaulieu50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brandon DuhaimeJosh BaileyJakub VoracekMarc-Andre BourdonCameron Gaunce
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brandon DuhaimeJosh BaileyJakub VoracekMarc-Andre BourdonCameron Gaunce
Extra Forwards
Normal PowerPlayPenalty Kill
Nicolas Kerdiles, Artem Anisimov, Maxime TalbotNicolas Kerdiles, Artem AnisimovMaxime Talbot
Extra Defensemen
Normal PowerPlayPenalty Kill
Matt Hunwick, Zack Trotman, Jakub JerabekMatt HunwickZack Trotman, Jakub Jerabek
Penalty Shots
Josh Bailey, Brandon Duhaime, Nick Foligno, Jakub Voracek, Loui Eriksson
Goalie
#1 : , #2 :
Custom OT Lines Forwards
Josh Bailey, Brandon Duhaime, Nick Foligno, Jakub Voracek, Loui Eriksson, Tomas Nosek, Artem Anisimov, Maxime Talbot, Sergei Kalinin, Scott Wilson
Custom OT Lines Defensemen
Marc-Andre Bourdon, Cameron Gaunce, Jakub Jerabek, Nathan Beaulieu, Matt Hunwick


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
1Bakersfield413000001213-12020000048-42110000085320.2501223352081778414176959932997691404829642129.52%10190.00%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
2Bridgeport4010210012120200020008622010010046-250.6251221330081778414131959932997691464940811417.14%19478.95%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
3Charlotte30101100812-42010100058-31000010034-130.500815230081778414106959932997691313626461417.14%13561.54%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
4Cleveland30200001814-620100001710-31010000014-310.16781624008177841499959932997691383742501300.00%19763.16%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
5Coachella Valley4210100014113210010009542110000056-160.75014264000817784141389599329976914239447115533.33%22577.27%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
6Eagles4110101015114211000007522000101086260.75015233800817784141699599329976914153396914321.43%17382.35%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
7Grand Rapids3120000079-21010000024-22110000055020.33371219008177841487959932997691204718511400.00%8275.00%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
8Hartford330000001275220000009631100000031261.000122234008177841496959932997691114028669222.22%14285.71%11476320246.10%1617349246.31%622130847.55%1833122120596391079524
9Hershey311001001213-11010000046-22100010087130.5001220320081778414110959932997691164124511000.00%12283.33%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
10Iowa52300000141312020000039-632100000114740.40014274110817784141799599329976918452418322313.64%17382.35%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
11Laval30300000511-62020000035-21010000026-400.00059140081778414115959932997691122928451218.33%14471.43%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
12Lehigh Valley330000001385220000008531100000053261.00013253800817784141019599329976911031225114428.57%10280.00%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
13Manitoba402002001118-720000200810-22020000038-520.25011172800817784141579599329976914545356017211.76%15380.00%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
14Ontario403000101014-4201000106602020000048-420.2501016260081778414136959932997691735447691417.14%21576.19%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
15Providence30300000613-71010000035-22020000038-500.000610160081778414100959932997691424030485240.00%15380.00%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
16Rochester3200000114113110000006422100000187150.83314264000817784141029599329976913141183911327.27%80100.00%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
17Rockford431000001073220000005142110000056-160.75010172701817784141449599329976915349298215320.00%12191.67%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
18San Diego41300000917-82110000069-32020000038-520.2509152410817784141259599329976916749426818316.67%21576.19%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
19San Jose41300000914-5211000006602020000038-520.250916250081778414127959932997691964443711317.69%19668.42%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
20Springfield42101000141222010100068-22200000084460.7501424380081778414141959932997691704174741417.14%22481.82%11476320246.10%1617349246.31%622130847.55%1833122120596391079524
21Syracuse30200100711-41000010034-12020000047-310.167712191081778414128959932997691293340547228.57%14564.29%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
22Texas42001010191182100100095421000010106481.00019304900817784141609599329976916141437617423.53%19573.68%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
23Wilkes-Barre/Scranton302010001218-620200000512-71000100076120.33312203200817784141089599329976914329186110110.00%9277.78%01476320246.10%1617349246.31%622130847.55%1833122120596391079524
Total82253808632253280-2741121806311132147-1541132002321121133-12800.4882534426955181778414293595993299769330196880014303134514.38%3507977.43%21476320246.10%1617349246.31%622130847.55%1833122120596391079524
_Since Last GM Reset82253808632253280-2741121806311132147-1541132002321121133-12800.4882534426955181778414293595993299769330196880014303134514.38%3507977.43%21476320246.10%1617349246.31%622130847.55%1833122120596391079524
_Vs Conference45152104230137141-42279032106972-323812010206869-1460.511137234371418177841416529599329976917725154667871802815.56%1954178.97%11476320246.10%1617349246.31%622130847.55%1833122120596391079524
_Vs Division20513010105469-151035010103134-31028000002335-12140.3505496150308177841470295993299769818234205343811214.81%932276.34%01476320246.10%1617349246.31%622130847.55%1833122120596391079524

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8280L125344269529353301968800143051
All Games
GPWLOTWOTL SOWSOLGFGA
8225388632253280
Home Games
GPWLOTWOTL SOWSOLGFGA
4112186311132147
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4113202321121133
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3134514.38%3507977.43%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9599329976981778414
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1476320246.10%1617349246.31%622130847.55%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1833122120596391079524


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
14Hartford3Abbotsford4WBoxScore
313Abbotsford6Iowa1WBoxScore
524Abbotsford2Bridgeport3LBoxScore
631Abbotsford3Hershey4LXBoxScore
944Laval2Abbotsford1LBoxScore
1260Abbotsford1Manitoba5LBoxScore
1465Abbotsford0Providence2LBoxScore
1572Rockford0Abbotsford1WBoxScore
1889Cleveland5Abbotsford4LXXBoxScore
20104Abbotsford1Grand Rapids3LBoxScore
22113Abbotsford2Syracuse3LBoxScore
23119Lehigh Valley3Abbotsford5WBoxScore
27138Eagles3Abbotsford6WBoxScore
29148Abbotsford1Rockford3LBoxScore
31161Manitoba5Abbotsford4LXBoxScore
33171Abbotsford5Bakersfield1WBoxScore
34178Abbotsford1Iowa2LBoxScore
36190Abbotsford0San Jose4LBoxScore
38197Springfield4Abbotsford5WXBoxScore
40215Coachella Valley2Abbotsford5WBoxScore
44233Springfield4Abbotsford1LBoxScore
46245Abbotsford2Bridgeport3LXBoxScore
49258Bakersfield4Abbotsford2LBoxScore
51272Abbotsford5Hershey3WBoxScore
52280Wilkes-Barre/Scranton7Abbotsford3LBoxScore
55294Abbotsford4Rockford3WBoxScore
56305Bakersfield4Abbotsford2LBoxScore
58315Abbotsford3Bakersfield4LBoxScore
61328Eagles2Abbotsford1LBoxScore
63342Abbotsford2Syracuse4LBoxScore
65352Abbotsford3Providence6LBoxScore
66359Rochester4Abbotsford6WBoxScore
70378Abbotsford3Charlotte4LXBoxScore
71382Laval3Abbotsford2LBoxScore
74396Abbotsford4Iowa1WBoxScore
76406Ontario3Abbotsford2LBoxScore
78412Abbotsford3Hartford1WBoxScore
80422Abbotsford3Ontario4LBoxScore
81431Hershey6Abbotsford4LBoxScore
85452Hartford3Abbotsford5WBoxScore
88465Abbotsford3San Jose4LBoxScore
90476Syracuse4Abbotsford3LXBoxScore
92485Abbotsford2Laval6LBoxScore
94499Abbotsford5Texas2WBoxScore
95503Coachella Valley3Abbotsford4WXBoxScore
98521Abbotsford4Eagles3WXBoxScore
99528Manitoba5Abbotsford4LXBoxScore
102540Abbotsford1Ontario4LBoxScore
104549Grand Rapids4Abbotsford2LBoxScore
106561Abbotsford2Coachella Valley4LBoxScore
109573Lehigh Valley2Abbotsford3WBoxScore
112588Abbotsford7Wilkes-Barre/Scranton6WXBoxScore
115600Ontario3Abbotsford4WXXBoxScore
119620Bridgeport3Abbotsford4WXBoxScore
121625Abbotsford2Manitoba3LBoxScore
123636Abbotsford4Eagles3WXXBoxScore
125645Bridgeport3Abbotsford4WXBoxScore
129667San Diego2Abbotsford4WBoxScore
131675Abbotsford5Lehigh Valley3WBoxScore
132685Abbotsford4Grand Rapids2WBoxScore
134694San Diego7Abbotsford2LBoxScore
137715Abbotsford5Springfield3WBoxScore
138719Cleveland5Abbotsford3LBoxScore
140727Abbotsford5Texas4WXXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
142740Abbotsford3Springfield1WBoxScore
143744Iowa4Abbotsford2LBoxScore
147766Wilkes-Barre/Scranton5Abbotsford2LBoxScore
149780Abbotsford3Coachella Valley2WBoxScore
150787Abbotsford1Cleveland4LBoxScore
152794Providence5Abbotsford3LBoxScore
156815Charlotte6Abbotsford2LBoxScore
159836Texas4Abbotsford5WXBoxScore
163854Abbotsford4Rochester5LXXBoxScore
165861Rockford1Abbotsford4WBoxScore
167876Abbotsford1San Diego4LBoxScore
170886Charlotte2Abbotsford3WXBoxScore
174907Iowa5Abbotsford1LBoxScore
177921Abbotsford4Rochester2WBoxScore
179932Texas1Abbotsford4WBoxScore
184950San Jose4Abbotsford1LBoxScore
187966San Jose2Abbotsford5WBoxScore
188969Abbotsford2San Diego4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5030
Attendance60,78030,065
Attendance PCT74.12%73.33%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2216 - 73.86% 129,763$5,320,278$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,466,012$ 1,784,500$ 1,784,500$ 725,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,198$ 1,740,927$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 12,936$ 0$




Abbotsford 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

Abbotsford Goalies Stat Leaders (Regular Season)

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

Abbotsford 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

Abbotsford 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

Abbotsford Goalies Stat Leaders (Play-Off)

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