Adirondack Red Wings
GP: 41 | W: 21 | L: 14 | OTL: 6 | P: 48
GF: 124 | GA: 127 | PP%: 22.03% | PK%: 79.71%
GM : Guillaume Diamond | Morale : 50 | Team Overall : 66
Next Games #415 vs Rimouski Oceanic
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Adirondack Red Wings
21-14-6, 48pts
5
FINAL
4 Springfield Isotopes
21-15-5, 47pts
Team Stats
W1StreakL1
9-8-4Home Record10-6-5
12-6-2Away Record11-9-0
8-1-1Last 10 Games2-6-2
3.02Goals Per Game3.05
3.10Goals Against Per Game3.02
22.03%Power Play Percentage37.25%
79.71%Penalty Kill Percentage72.45%
Rimouski Oceanic
22-16-3, 47pts
1
FINAL
2 Adirondack Red Wings
21-14-6, 48pts
Team Stats
L4StreakW1
7-11-2Home Record9-8-4
15-5-1Away Record12-6-2
6-4-0Last 10 Games8-1-1
2.76Goals Per Game3.02
2.49Goals Against Per Game3.10
24.68%Power Play Percentage22.03%
88.00%Penalty Kill Percentage79.71%
Adirondack Red Wings
21-14-6, 48pts
2021-07-24
Rimouski Oceanic
22-16-3, 47pts
Team Stats
W1StreakL4
9-8-4Home Record7-11-2
12-6-2Away Record15-5-1
8-1-1Last 10 Games6-4-0
3.02Goals Per Game2.76
3.10Goals Against Per Game2.49
22.03%Power Play Percentage24.68%
79.71%Penalty Kill Percentage88.00%
Black Lake Crunch
26-11-3, 55pts
2021-07-26
Adirondack Red Wings
21-14-6, 48pts
Team Stats
W1StreakW1
13-6-2Home Record9-8-4
13-5-1Away Record12-6-2
5-4-1Last 10 Games8-1-1
3.18Goals Per Game3.02
2.20Goals Against Per Game3.10
38.75%Power Play Percentage22.03%
77.78%Penalty Kill Percentage79.71%
Adirondack Red Wings
21-14-6, 48pts
2021-07-28
Rimouski Oceanic
22-16-3, 47pts
Team Stats
W1StreakL4
9-8-4Home Record7-11-2
12-6-2Away Record15-5-1
8-1-1Last 10 Games6-4-0
3.02Goals Per Game2.76
3.10Goals Against Per Game2.49
22.03%Power Play Percentage24.68%
79.71%Penalty Kill Percentage88.00%
Team Leaders
Phil KesselGoals
Phil Kessel
20
Assists
Logan Couture
32
Points
Logan Couture
50
Phil KesselPlus/Minus
Phil Kessel
4
Hannu ToivonenWins
Hannu Toivonen
11
Karri RamoSave Percentage
Karri Ramo
0.928

Team Stats
Goals For
124
3.02 GFG
Shots For
1481
36.12 Avg
Power Play Percentage
22.0%
13 GF
Offensive Zone Start
36.9%
Goals Against
127
3.10 GAA
Shots Against
1504
36.68 Avg
Penalty Kill Percentage
79.7%
28 GA
Defensive Zone Start
40.1%
Team Info

General ManagerGuillaume Diamond
CoachJohn Paddock
DivisionAHL Norris
ConferenceAHL Campbell
Captain
Assistant #1
Assistant #2


Arena Info

Capacity4,500
Attendance4,050
Season Tickets4,050


Roster Info

Pro Team27
Farm Team20
Contract Limit47 / 250
Prospects0


Team History

This Season21-14-6 (48PTS)
History130-121-33 (0.458%)
Playoff Appearances2
Playoff Record (W-L)4-8
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
1Jakub Voracek (R)X100.008055857271747680407775677035359162690173850,000$
2Dave ScatchardX100.009977406478557956735658825785905059680301675,000$
3Matt HendricksX100.0082568170766175778669666567657560616802511,000,000$
4Adam DeadmarshX100.008951696577747865575665647586883958670311675,000$
5Rich PeverleyX100.007752847174687379807270666538387861670242600,000$
6Sam Gagner (R)X100.007955797276707377807470686235358048670173800,000$
7Brad WinchesterX100.009758636382667761296267736853495748660252675,000$
8Matt D'Agostini (R)X100.005939767175747873366771646539396665650201600,000$
9Curtis GlencrossX100.009180707275737879386765656237377253650242650,000$
10Pascal DupuisX100.009080457376747577386970636536368161650272600,000$
11Tom Pyatt (R)X100.004015907371676874766764636436366722630191600,000$
12Andreas Nodl (R)X100.006215707276677272356665636438386420630192600,000$
13Jakub Kindl (R)X100.007852816876768673356968806137376948680191600,000$
14Matt Niskanen (R)X100.005535607077819083357977776538388161670201850,000$
15Alec Martinez (R)X100.006550757274798079357676726535358249670193800,000$
16Steve Eminger (R)X100.006138806278768680257169746250506361660232700,000$
17Matt Carle (R)X100.006017936476678879357676776942427640660222975,000$
18Mark Fayne (R)X100.006843906678717477356866736338386552650191600,000$
Scratches
1David Clarkson (R)X100.009087557376737670396764666538386920650222600,000$
2Leo Komarov (R)X100.004416777277667074757166666437376920650192600,000$
3Brad Richardson (R)X100.002714906776687776786670706642426020630211900,000$
4Kyle Chipchura (R)X100.005434816576677475756563596640406020630201675,000$
5Chris Summers (R)X100.007449846674738072356967746335356920650182600,000$
6Mark Fistric (R)X100.007348856383717872356765696340406520640201700,000$
TEAM AVERAGE100.00714775697670787450696869654445684466
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
1Karri Ramo (R)100.00657275827484868785726740407550710
2Hannu Toivonen (R)100.00617472827284828182737148486754690
Scratches
1Jim Carey100.00688062776969747269686878683823660
TEAM AVERAGE100.0065757080727981807971695552604269
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Paddock72998871838362CAN471700,000$


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
1Logan CoutureAdirondack Red Wings (Det)C4118325041804374172419110.47%2591322.294610124700061141153.27%13762518011.0913000421
2Phil KesselAdirondack Red Wings (Det)LW4020204043358448176319611.36%2890722.69461084800041152136.76%682915000.88310010351
3Jakub VoracekAdirondack Red Wings (Det)RW40162238620105634137476711.68%2176019.003710848000014042.86%632415011.00110101025
4Rich PeverleyAdirondack Red Wings (Det)C41111223220293411839669.32%755413.52000070001250252.07%290126000.8300000133
5Sam GagnerAdirondack Red Wings (Det)C3910919-4100547299295510.10%2470518.081123372026801056.68%591148000.5401000110
6Matt HendricksAdirondack Red Wings (Det)LW418917-240605710946677.34%1972717.740111410114782048.28%29147000.4779000111
7Alec MartinezAdirondack Red Wings (Det)D4121315-2511564709635382.08%78113527.700113560112109000.00%02929000.2600012001
8Curtis GlencrossAdirondack Red Wings (Det)RW398715-6441059429025478.89%2057414.73112238000002027.78%18118000.5200002300
9Matt NiskanenAdirondack Red Wings (Det)D4111314340038546725201.49%3780119.54000235011165010.00%02029000.3500000001
10Jakub KindlAdirondack Red Wings (Det)D402121418054947016252.86%67111427.860001570113120010.00%01846000.2500000000
11Matt CarleAdirondack Red Wings (Det)D411111250016505420161.85%4783020.27000034000097000.00%01230000.2901000000
12Pascal DupuisAdirondack Red Wings (Det)RW416511914056146427519.38%53458.4200000000002075.00%4205000.6400000011
13Steve EmingerAdirondack Red Wings (Det)D4101010814020372819120.00%2458514.2900002000039000.00%1726000.3400000000
14Adam DeadmarshAdirondack Red Wings (Det)RW413710-215559284212367.14%1245711.1700014000001046.67%1545000.4411010011
15Matt D'AgostiniAdirondack Red Wings (Det)LW41731081010151359203911.86%43508.5500000000020018.18%11104000.5700101000
16Brad WinchesterAdirondack Red Wings (Det)LW41459046105527479298.51%1048911.94000030000160041.18%17410000.3700011021
17Mark FayneAdirondack Red Wings (Det)D4104477521241812160.00%3253112.960000100008000.00%0227000.1500001000
18Dave ScatchardAdirondack Red Wings (Det)C41134820104540245144.17%123699.0200001000070152.20%15916000.2200011000
19Leo KomarovAdirondack Red Wings (Det)RW2011020114220.00%12914.9400012000000066.67%310000.6700000000
20Tom PyattAdirondack Red Wings (Det)C2011100102010.00%0178.9700000000000066.67%600001.1200000000
21Mark FistricAdirondack Red Wings (Det)D1000-200111100.00%12727.620000000003000.00%003000.0000000000
Team Total or Average736118199317483588083181414774617887.99%4741223016.62132336424692462788615752.73%2651257297020.521335259131816
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
1Hannu ToivonenAdirondack Red Wings (Det)24111120.9113.1014146073818391010.733152414231
2Karri RamoAdirondack Red Wings (Det)1910340.9282.6910950049685329100.765171719420
Team Total or Average43211460.9192.922510601221503720110.750324133651


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam DeadmarshAdirondack Red Wings (Det)RW311975-05-10No203 Lbs188 CMNoNoNo1Pro & Farm675,000$347,282$0$0$NoNHL Link
Alec MartinezAdirondack Red Wings (Det)D191987-07-26 15:22:23Yes209 Lbs185 CMNoNoNo3Pro & Farm800,000$411,594$0$0$No800,000$800,000$
Andreas NodlAdirondack Red Wings (Det)LW191987-02-28 15:37:56Yes201 Lbs188 CMNoNoNo2Pro & Farm600,000$308,695$0$0$No600,000$NHL Link
Brad RichardsonAdirondack Red Wings (Det)C211985-02-04Yes198 Lbs191 CMNoNoNo1Pro & Farm900,000$463,043$0$0$NoNHL Link
Brad WinchesterAdirondack Red Wings (Det)LW251981-03-01No235 Lbs196 CMNoNoNo2Pro & Farm675,000$347,282$0$0$No675,000$NHL Link
Chris SummersAdirondack Red Wings (Det)D181988-02-05 15:42:06Yes207 Lbs188 CMNoNoNo2Pro & Farm600,000$308,695$0$0$No600,000$NHL Link
Curtis GlencrossAdirondack Red Wings (Det)RW241982-12-28 15:44:55No201 Lbs185 CMNoNoNo2Pro & Farm650,000$334,420$0$0$No650,000$NHL Link
Dave ScatchardAdirondack Red Wings (Det)C301976-02-20No212 Lbs191 CMNoNoNo1Pro & Farm675,000$347,282$0$0$NoNHL Link
David ClarksonAdirondack Red Wings (Det)RW221984-04-30 15:48:24Yes209 Lbs183 CMNoNoNo2Pro & Farm600,000$308,695$0$0$No600,000$NHL Link
Hannu ToivonenAdirondack Red Wings (Det)G221984-05-18Yes220 Lbs191 CMNoNoNo2Pro & Farm770,000$396,159$0$0$No770,000$NHL Link
Jakub KindlAdirondack Red Wings (Det)D191987-02-10 12:29:24Yes198 Lbs188 CMNoNoNo1Pro & Farm600,000$308,695$0$0$NoNHL Link
Jakub VoracekAdirondack Red Wings (Det)RW171989-08-15 15:24:29Yes214 Lbs188 CMNoNoNo3Pro & Farm850,000$437,318$0$0$No850,000$850,000$
Jim CareyAdirondack Red Wings (Det)G321974-05-31No195 Lbs188 CMYesNoNo1Pro & Farm1,000,000$514,492$0$0$NoNHL Link
Karri RamoAdirondack Red Wings (Det)G201986-07-01Yes215 Lbs201 CMNoNoNo1Pro & Farm900,000$463,043$0$0$NoNHL Link
Kyle ChipchuraAdirondack Red Wings (Det)C201986-02-19Yes208 Lbs191 CMNoNoNo1Pro & Farm675,000$347,282$0$0$NoNHL Link
Leo KomarovAdirondack Red Wings (Det)RW191987-01-23 15:50:54Yes207 Lbs188 CMNoNoNo2Pro & Farm600,000$308,695$0$0$No600,000$NHL Link
Mark FayneAdirondack Red Wings (Det)D191987-05-15 12:30:20Yes209 Lbs191 CMNoNoNo1Pro & Farm600,000$308,695$0$0$NoNHL Link
Mark FistricAdirondack Red Wings (Det)D201986-06-01Yes234 Lbs191 CMNoNoNo1Pro & Farm700,000$360,144$0$0$NoNHL Link
Matt CarleAdirondack Red Wings (Det)D221984-09-25Yes199 Lbs185 CMNoNoNo2Pro & Farm975,000$501,630$0$0$No975,000$NHL Link
Matt D'AgostiniAdirondack Red Wings (Det)LW201986-10-23 12:00:45Yes201 Lbs183 CMNoNoNo1Pro & Farm600,000$308,695$0$0$NoNHL Link
Matt HendricksAdirondack Red Wings (Det)LW251981-06-17No212 Lbs183 CMNoNoNo1Pro & Farm1,000,000$514,492$0$0$NoNHL Link
Matt NiskanenAdirondack Red Wings (Det)D201986-12-06 12:19:15Yes203 Lbs185 CMNoNoNo1Pro & Farm850,000$437,318$0$0$NoNHL Link
Pascal DupuisAdirondack Red Wings (Det)RW271979-04-07 15:53:20No207 Lbs185 CMNoNoNo2Pro & Farm600,000$308,695$0$0$No600,000$NHL Link
Rich PeverleyAdirondack Red Wings (Det)C241982-11-02 15:59:05No196 Lbs180 CMNoNoNo2Pro & Farm600,000$308,695$0$0$No600,000$NHL Link
Sam GagnerAdirondack Red Wings (Det)C171989-08-10 15:28:54Yes200 Lbs180 CMNoNoNo3Pro & Farm800,000$411,594$0$0$No800,000$800,000$
Steve EmingerAdirondack Red Wings (Det)D231983-10-31Yes207 Lbs188 CMNoNoNo2Pro & Farm700,000$360,144$0$0$No700,000$NHL Link
Tom PyattAdirondack Red Wings (Det)C191987-02-14 12:02:39Yes182 Lbs180 CMNoNoNo1Pro & Farm600,000$308,695$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2722.00207 Lbs188 CM1.63725,741$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andreas NodlTom PyattJakub Voracek40014
2Matt HendricksSam GagnerCurtis Glencross30032
3Brad WinchesterRich PeverleyAdam Deadmarsh20122
4Matt D'AgostiniDave ScatchardPascal Dupuis10041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub KindlAlec Martinez40122
2Matt NiskanenMatt Carle30122
3Steve EmingerMark Fayne20122
4Jakub KindlAlec Martinez10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andreas NodlTom PyattJakub Voracek60122
2Matt HendricksSam GagnerCurtis Glencross40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub KindlAlec Martinez60122
2Matt NiskanenMatt Carle40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tom PyattAndreas Nodl60122
2Sam GagnerMatt Hendricks40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub KindlAlec Martinez60122
2Matt NiskanenMatt Carle40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tom Pyatt60122Jakub KindlAlec Martinez60122
2Sam Gagner40122Matt NiskanenMatt Carle40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tom PyattAndreas Nodl60122
2Sam GagnerMatt Hendricks40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub KindlAlec Martinez60122
2Matt NiskanenMatt Carle40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Andreas NodlTom PyattJakub VoracekJakub KindlAlec Martinez
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Andreas NodlTom PyattJakub VoracekJakub KindlAlec Martinez
Extra Forwards
Normal PowerPlayPenalty Kill
Rich Peverley, Dave Scatchard, Tom PyattDave Scatchard, Rich PeverleyDave Scatchard
Extra Defensemen
Normal PowerPlayPenalty Kill
Matt Carle, Steve Eminger, Mark FayneMatt CarleMatt Carle, Steve Eminger
Penalty Shots
Jakub Voracek, Tom Pyatt, Matt Hendricks, Andreas Nodl, Dave Scatchard
Goalie
#1 : Karri Ramo, #2 : Hannu Toivonen


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
1Black Lake Crunch320000019721000000123-12200000074350.833916250034463813116491565417421114016572150.00%8362.50%052198153.11%558106652.35%32060952.55%899522879368734363
2Chiefs de Laval11000000321110000003210000000000021.0003690034463813294915654174240151020200.00%50100.00%052198153.11%558106652.35%32060952.55%899522879368734363
3Cleveland Barons11000000413000000000001100000041321.0004610003446381332491565417425117614000.00%30100.00%052198153.11%558106652.35%32060952.55%899522879368734363
4Les Harfangs de Beauport1010000013-2000000000001010000013-200.0001120034463813324915654174231101316300.00%4175.00%052198153.11%558106652.35%32060952.55%899522879368734363
5London Knights10000010321100000103210000000000021.000347003446381336491565417423310426000.00%20100.00%052198153.11%558106652.35%32060952.55%899522879368734363
6Magog Krakens210000101531210000010321110000001211141.000152237003446381374491565417427327204510660.00%50100.00%052198153.11%558106652.35%32060952.55%899522879368734363
7Manitoba Moose52300000916-72110000034-131200000612-640.4009162510344638131674915654174218752631035240.00%19668.42%052198153.11%558106652.35%32060952.55%899522879368734363
8Notre-Dame de Grâce Phantoms1010000034-11010000034-10000000000000.000358003446381336491565417423014220200.00%10100.00%052198153.11%558106652.35%32060952.55%899522879368734363
9Patriotes de St-Eustache31100001871211000006421000000123-130.5008132100344638131084915654174292303064500.00%11281.82%052198153.11%558106652.35%32060952.55%899522879368734363
10Portland Pirates521000111515021000001541311000101011-170.7001524390034463813201491565417421856028938112.50%140100.00%052198153.11%558106652.35%32060952.55%899522879368734363
11Rimouski Oceanic32000001981320000019810000000000050.8339142300344638131234915654174296371471100.00%7185.71%052198153.11%558106652.35%32060952.55%899522879368734363
12Springfield Isotopes201000107701010000023-11000001054120.5007101700344638136749156541742892514404125.00%7271.43%052198153.11%558106652.35%32060952.55%899522879368734363
13St-Hyacinthe Laser1010000016-51010000016-50000000000000.000112003446381334491565417423661016000.00%50100.00%052198153.11%558106652.35%32060952.55%899522879368734363
14St-John's Maple Leafs604001101629-132020000039-6402001101320-730.25016264200344638131924915654174222365821249111.11%26869.23%152198153.11%558106652.35%32060952.55%899522879368734363
15Ste-Therese Aigles321000008621010000023-12200000063340.66781422003446381312549156541742962522584125.00%11281.82%152198153.11%558106652.35%32060952.55%899522879368734363
16Utica Devils10000010541100000105410000000000021.00057120034463813304915654174242131822300.00%40100.00%052198153.11%558106652.35%32060952.55%899522879368734363
17Worcester Sharks210001008711000010034-11100000053230.750814220034463813794915654174289281245100.00%6350.00%052198153.11%558106652.35%32060952.55%899522879368734363
Total41151400264124127-32168001335362-920960013171656480.58512419932310344638131481491565417421504474364834591322.03%1382879.71%252198153.11%558106652.35%32060952.55%899522879368734363
_Since Last GM Reset41151400264124127-32168001335362-920960013171656480.58512419932310344638131481491565417421504474364834591322.03%1382879.71%252198153.11%558106652.35%32060952.55%899522879368734363
_Vs Conference301210002339094-41344001133037-717860012060573350.5839014723710344638131109491565417421091344270612431227.91%1002476.00%252198153.11%558106652.35%32060952.55%899522879368734363
_Vs Division1749001214163-22623000011117-61126001203046-16140.412416710810344638135924915654174262618718633625416.00%631576.19%152198153.11%558106652.35%32060952.55%899522879368734363

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4148W11241993231481150447436483410
All Games
GPWLOTWOTL SOWSOLGFGA
4115140264124127
Home Games
GPWLOTWOTL SOWSOLGFGA
216801335362
Visitor Games
GPWLOTWOTL SOWSOLGFGA
209601317165
Last 10 Games
WLOTWOTL SOWSOL
510031
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
591322.03%1382879.71%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
4915654174234463813
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
52198153.11%558106652.35%32060952.55%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
899522879368734363


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 - 2021-05-183St-John's Maple Leafs3Adirondack Red Wings1LR1BoxScore
2 - 2021-05-1915Adirondack Red Wings3St-John's Maple Leafs4LXBoxScore
4 - 2021-05-2129St-John's Maple Leafs6Adirondack Red Wings2LR1BoxScore
5 - 2021-05-2237Adirondack Red Wings5Worcester Sharks3WBoxScore
7 - 2021-05-2447Worcester Sharks4Adirondack Red Wings3LXBoxScore
8 - 2021-05-2554Adirondack Red Wings1Portland Pirates4LBoxScore
9 - 2021-05-2659Adirondack Red Wings2St-John's Maple Leafs5LR1BoxScore
11 - 2021-05-2870Magog Krakens2Adirondack Red Wings3WXXBoxScore
13 - 2021-05-3083Portland Pirates3Adirondack Red Wings2LXXBoxScore
14 - 2021-05-3191Adirondack Red Wings4Black Lake Crunch3WBoxScore
16 - 2021-06-02103Adirondack Red Wings4Manitoba Moose3WBoxScore
17 - 2021-06-03112Manitoba Moose1Adirondack Red Wings2WBoxScore
19 - 2021-06-05126Rimouski Oceanic2Adirondack Red Wings3WBoxScore
21 - 2021-06-07137Adirondack Red Wings2St-John's Maple Leafs6LR1BoxScore
22 - 2021-06-08141Adirondack Red Wings1Manitoba Moose4LBoxScore
24 - 2021-06-10154Patriotes de St-Eustache3Adirondack Red Wings2LBoxScore
26 - 2021-06-12163Adirondack Red Wings3Ste-Therese Aigles1WBoxScore
28 - 2021-06-14173London Knights2Adirondack Red Wings3WXXBoxScore
31 - 2021-06-17188Notre-Dame de Grâce Phantoms4Adirondack Red Wings3LBoxScore
32 - 2021-06-18193Adirondack Red Wings2Patriotes de St-Eustache3LXXBoxScore
34 - 2021-06-20202Adirondack Red Wings1Manitoba Moose5LBoxScore
35 - 2021-06-21214Adirondack Red Wings1Les Harfangs de Beauport3LBoxScore
37 - 2021-06-23222Chiefs de Laval2Adirondack Red Wings3WBoxScore
39 - 2021-06-25231Rimouski Oceanic5Adirondack Red Wings4LXXBoxScore
41 - 2021-06-27242Adirondack Red Wings5Portland Pirates4WBoxScore
42 - 2021-06-28253Springfield Isotopes3Adirondack Red Wings2LBoxScore
45 - 2021-07-01266Ste-Therese Aigles3Adirondack Red Wings2LBoxScore
46 - 2021-07-02272Adirondack Red Wings3Ste-Therese Aigles2WBoxScore
48 - 2021-07-04288Portland Pirates1Adirondack Red Wings3WBoxScore
49 - 2021-07-05295Adirondack Red Wings4Portland Pirates3WXXBoxScore
51 - 2021-07-07307Manitoba Moose3Adirondack Red Wings1LBoxScore
54 - 2021-07-10321Black Lake Crunch3Adirondack Red Wings2LXXBoxScore
55 - 2021-07-11330Adirondack Red Wings12Magog Krakens1WBoxScore
57 - 2021-07-13340Adirondack Red Wings6St-John's Maple Leafs5WXXR1BoxScore
58 - 2021-07-14346Adirondack Red Wings4Cleveland Barons1WBoxScore
60 - 2021-07-16358St-Hyacinthe Laser6Adirondack Red Wings1LBoxScore
61 - 2021-07-17367Utica Devils4Adirondack Red Wings5WXXBoxScore
64 - 2021-07-20382Patriotes de St-Eustache1Adirondack Red Wings4WBoxScore
65 - 2021-07-21390Adirondack Red Wings3Black Lake Crunch1WBoxScore
66 - 2021-07-22401Adirondack Red Wings5Springfield Isotopes4WXXBoxScore
67 - 2021-07-23408Rimouski Oceanic1Adirondack Red Wings2WBoxScore
68 - 2021-07-24415Adirondack Red Wings-Rimouski Oceanic-
70 - 2021-07-26428Black Lake Crunch-Adirondack Red Wings-
72 - 2021-07-28437Adirondack Red Wings-Rimouski Oceanic-
74 - 2021-07-30448Adirondack Red Wings-Black Lake Crunch-
76 - 2021-08-01460Magog Krakens-Adirondack Red Wings-
78 - 2021-08-03468Adirondack Red Wings-Utica Devils-
80 - 2021-08-05477Magog Krakens-Adirondack Red Wings-
82 - 2021-08-07488St-Hyacinthe Laser-Adirondack Red Wings-
84 - 2021-08-09499Adirondack Red Wings-Magog Krakens-
86 - 2021-08-11507Drummondville Voltigeurs-Adirondack Red Wings-
88 - 2021-08-13520Adirondack Red Wings-St-Hyacinthe Laser-
90 - 2021-08-15528St-John's Maple Leafs-Adirondack Red Wings-
91 - 2021-08-16539Adirondack Red Wings-Drummondville Voltigeurs-
93 - 2021-08-18549Les Harfangs de Beauport-Adirondack Red Wings-
94 - 2021-08-19558Adirondack Red Wings-Rimouski Oceanic-
96 - 2021-08-21567Utica Devils-Adirondack Red Wings-
97 - 2021-08-22577Adirondack Red Wings-St-John's Maple Leafs-
98 - 2021-08-23585Adirondack Red Wings-Cleveland Barons-
100 - 2021-08-25595Manitoba Moose-Adirondack Red Wings-
102 - 2021-08-27605Adirondack Red Wings-Les Harfangs de Beauport-
104 - 2021-08-29617Cleveland Barons-Adirondack Red Wings-
105 - 2021-08-30627Adirondack Red Wings-Portland Pirates-
107 - 2021-09-01637Chiefs de Laval-Adirondack Red Wings-
108 - 2021-09-02647Adirondack Red Wings-London Knights-
Trade Deadline --- Trades can’t be done after this day is simulated!
110 - 2021-09-04658St-John's Maple Leafs-Adirondack Red Wings-
112 - 2021-09-06669Worcester Sharks-Adirondack Red Wings-
114 - 2021-09-08682Les Harfangs de Beauport-Adirondack Red Wings-
115 - 2021-09-09693Adirondack Red Wings-Ste-Therese Aigles-
116 - 2021-09-10697Adirondack Red Wings-Chiefs de Laval-
118 - 2021-09-12708Ste-Therese Aigles-Adirondack Red Wings-
120 - 2021-09-14724Portland Pirates-Adirondack Red Wings-
121 - 2021-09-15726Adirondack Red Wings-Worcester Sharks-
122 - 2021-09-16734Adirondack Red Wings-Quebec Remparts-
124 - 2021-09-18747Adirondack Red Wings-Manitoba Moose-
125 - 2021-09-19758Patriotes de St-Eustache-Adirondack Red Wings-
127 - 2021-09-21770Quebec Remparts-Adirondack Red Wings-
128 - 2021-09-22773Adirondack Red Wings-Notre-Dame de Grâce Phantoms-
130 - 2021-09-24785Adirondack Red Wings-Les Harfangs de Beauport-
131 - 2021-09-25793Adirondack Red Wings-Quebec Remparts-
132 - 2021-09-26800Worcester Sharks-Adirondack Red Wings-
137 - 2021-10-01820Les Harfangs de Beauport-Adirondack Red Wings-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30001500
Ticket Price4020
Attendance56,70028,350
Attendance PCT90.00%90.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
20 4050 - 90.00% 135,000$2,835,000$4500100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,373,015$ 2,139,500$ 2,139,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
15,504$ 1,033,189$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,700,000$ 71 20,576$ 1,460,896$




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
200482243604369230247-1741112102223111126-1541131502146119121-2802303836133004995762933010319998723172102848816931484429.73%1995572.36%4967189850.95%1110214351.80%605120950.04%1798105517697091440733
200582253904572233267-3441131802341116126-1041122102231117141-24792333916243004891833087010661013978300394448815931583522.15%2107265.71%31016207848.89%1050207050.72%625124150.36%1810107917427131436722
200682293205655231235-441171403322124115941121802333107120-13892313826132005486813015010351041919297196165816711584125.95%2745779.20%3973200948.43%1032219047.12%579121247.77%1802106317487301439709
200741151400264124127-32168001335362-9209600131716564812419932310344638131481491565417421504474364834591322.03%1382879.71%252198153.11%558106652.35%32060952.55%899522879368734363
Total Regular Season28793121013162420818876-581444761079119404429-2514346600671311414447-33296818135521739034197310253105164913697347028111065034071998579152313325.43%82121274.18%123477696649.91%3750746950.21%2129427149.85%631037206140252250502528
Playoff
2005514000001527-1221100000550303000001022-122152237000573189063675522785379414321.43%16756.25%17114150.35%6114242.96%278133.33%11265107398243
2006734000001823-531200000610-4422000001213-1618304800064824708275902559230147400.00%15286.67%08718148.07%8416650.60%4710047.00%155921446312459
Total Playoff1248000003350-17523000001115-4725000002235-13833528500011111143601451421454821776724118316.67%31970.97%115832249.07%14530847.08%7418140.88%267158252103207102