Login

Scouts
GP: 41 | W: 17 | L: 16 | T: 8 | P: 42
GF: 129 | GA: 133 | PP%: 23.84% | PK%: 77.11%
GM : Mario | Morale : 51 | Team Overall : 69
Next Games #311 vs Mooseheads
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Scouts
17-16-0, 42pts
2
FINAL
3 Rush
17-16-0, 41pts
Team Stats
W1StreakW4
10-6-0Home Record8-9-0
7-10-0Away Record9-7-0
5-4-0Last 10 Games7-2-0
3.15Goals Per Game3.05
3.24Goals Against Per Game3.15
23.84%Power Play Percentage14.00%
77.11%Penalty Kill Percentage79.43%
Cougars
20-16-0, 44pts
0
FINAL
3 Scouts
17-16-0, 42pts
Team Stats
L3StreakW1
11-7-0Home Record10-6-0
9-9-0Away Record7-10-0
6-4-0Last 10 Games5-4-0
3.08Goals Per Game3.15
3.00Goals Against Per Game3.24
19.63%Power Play Percentage23.84%
78.08%Penalty Kill Percentage77.11%
Mooseheads
18-20-0, 38pts
2023-01-23
Scouts
17-16-0, 42pts
Team Stats
W5StreakW1
11-9-0Home Record10-6-0
7-11-0Away Record7-10-0
7-3-0Last 10 Games5-4-0
3.05Goals Per Game3.15
3.28Goals Against Per Game3.15
19.28%Power Play Percentage23.84%
78.36%Penalty Kill Percentage77.11%
Brass
16-14-0, 43pts
2023-01-24
Scouts
17-16-0, 42pts
Team Stats
W1StreakW1
9-8-0Home Record10-6-0
7-6-0Away Record7-10-0
3-5-0Last 10 Games5-4-0
2.88Goals Per Game3.15
2.71Goals Against Per Game3.15
15.38%Power Play Percentage23.84%
80.26%Penalty Kill Percentage77.11%
Scouts
17-16-0, 42pts
2023-01-26
Growlers
21-12-0, 49pts
Team Stats
W1StreakT1
10-6-0Home Record13-5-0
7-10-0Away Record8-7-0
5-4-0Last 10 Games6-2-0
3.15Goals Per Game2.85
3.24Goals Against Per Game2.85
23.84%Power Play Percentage22.22%
77.11%Penalty Kill Percentage83.25%
Team Leaders
Goals
Tom Williams
21
Assists
Otto Schneitberger
26
Points
Chris Oddleifson
32
Plus/Minus
Wally Olds
9
Wins
Ron Low
8
Save Percentage
Pat Rupp
0.854

Team Stats
Goals For
129
3.15 GFG
Shots For
816
19.90 Avg
Power Play Percentage
23.8%
41 GF
Offensive Zone Start
38.3%
Goals Against
133
3.24 GAA
Shots Against
887
21.63 Avg
Penalty Kill Percentage
77.1%%
46 GA
Defensive Zone Start
39.3%
Team Info

General ManagerMario
CoachAl Arbour
DivisionPCHA
ConferenceAHL
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,889
Season Tickets300


Roster Info

Pro Team25
Farm Team21
Contract Limit46 / 60
Prospects7


Team History

This Season17-16-8 ( 42PTS)
History143-140-70 (0.405%)
Playoff Appearances4
Playoff Record (W-L)17-13
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
1Tom Williams (R)0X96.00613885757385878154808570703640245472019247,000$
2Jack Gibson (R)0X98.0069447572728184775568837868403716870023247,000$
3Germain Gagnon0X100.0067319473738295725376735164828116570128294,000$
4Garnet Bailey (R)0X100.00805475717888797455767377684150506470122253,000$
5Buster Harvey (R)0X100.00734874717284817755777673653438276969020230,000$
6Pierre Jarry (R)0X100.00684478737187917159737272683639215768021245,000$
7Doug Rombough (R)0X99.0092746870778074748069708061333256768020219,000$
8Don Lever (R)0X100.0068427068767471735574767171264789626701811,000$
9Claude Chartre (R)0X100.006335917571819368886365745738331266602115,000$
10Henry Boucha (R)0X100.00714368717278787175677374662729233166019340,000$
11Wieslaw Jobczyk (R)0X100.0049206469667376725575786374262512536501611,000$
12Joe Zanussi (R)0X100.0072458073738882841584798259454565873023251,000$
13Jim Neilson0X100.009788486376847578157174745989992761731292124,000$
14Otto Schneitberger0X100.003039972667693881580847455887616972131286,000$
15Wally Olds (R)0X100.0093658469768577711564658655343017370021241,000$
16Terry Murray (R)0X100.00735576727577826715695580552932226467020225,000$
17Gord Smith (R)0X100.00643672736985946315585978523133203166021225,000$
Scratches
1John Marks (R)0X98.00988364728186797754797978674353546573122253,000$
2Chris Oddleifson (R)0XX97.00745271747382878079837774653341386772020243,000$
3Stan Weir (R)0X100.0054297575707290717472716967263961406601811,000$
4Pierre Duguay (R)0X100.0064347371708081657562617258282412063019325,000$
5Mike Bloom (R)0X100.0089666759837059685564627762252518206201811,000$
6Terry French (R)0X100.0076596660797765681576518056272331964019320,000$
TEAM AVERAGE99.48724775707481817349727174634042225268
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
1Jim Shaw (R)099.007067727572939090917664464215776025170,000$
Scratches
1Ron Low (R)0100.0065587278728378807975673237546770020230,000$
TEAM AVERAGE99.5068637277728884858576663940286273
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Al Arbour44545158656535CAN42140,000$


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
1Chris OddleifsonScouts (NYR)C/RW381220323120627984195014.29%776420.12581312870113913049.61%77400010.8400000332
2Doug RomboughScouts (NYR)C4192130-46001259465163913.85%872517.704913171250000151152.71%73800000.8300000123
3Buster HarveyScouts (NYR)RW411218306120265353235322.64%775018.31268101390000101143.28%6700100.8000000223
4Otto SchneitbergerScouts (NYR)D41326297000534918366.12%3787221.273710351250111152010.00%000000.6600000111
5Tom WilliamsScouts (NYR)LW2721728-310043272154929.17%560322.35729197800041192036.94%11100010.9300000115
6Jack GibsonScouts (NYR)LW411312253120285065235920.00%964515.750334280111941023.73%5900000.7700000300
7Wally OldsScouts (NYR)D41421259751572282681915.38%2572117.591671264000085100.00%000000.6900200022
8John MarksScouts (NYR)LW3010142456151125168245114.71%769423.165510111000000951040.49%32600000.6900001500
9Joe ZanussiScouts (NYR)D3471623-380175049113714.29%2679523.395914391150000134110.00%000000.5800000021
10Gennadi TsygankovRangersD30611170515693150203412.00%3971923.99538341040000105110.00%000000.4700000023
11Jim NeilsonScouts (NYR)D3811415-379510327198165.26%2882321.66189131160000110000.00%000000.3600100010
12Germain GagnonScouts (NYR)LW41771416020172761325.93%158614.311121271011540143.43%9900000.4800000011
13Garnet BaileyScouts (NYR)LW4141014-424046365520307.27%661815.090332531015871041.41%12800000.4500000111
14Terry MurrayScouts (NYR)D4121113-32402421111618.18%3061915.1001118000038000.00%000000.4200000010
15Norm DennisRangersC/RW3211112-220637307313.33%163419.830227970002551055.94%26100000.3800000010
16Stan WeirScouts (NYR)C25369-3006262762111.11%229311.7400000000070048.66%29800000.6100000001
17Wieslaw JobczykScouts (NYR)RW31538-6207223392515.15%246915.15101457000001139.29%2800000.3400000011
18Claude ChartreScouts (NYR)C1141530001071257.14%0565.1700005000062147.83%4600001.7600000100
19Pierre JarryScouts (NYR)LW372130206854740.00%11263.41101130000130044.44%3600000.4800000001
20Gord SmithScouts (NYR)D16213-6100181191422.22%1525015.6700012000029000.00%000000.2400000000
21Henry BouchaScouts (NYR)C16033-2207119150.00%0855.3600000000000043.84%7300000.7000000010
22Terry FrenchScouts (NYR)D4011000101000.00%1287.050000001104000.00%000000.7100000000
23Don LeverScouts (NYR)LW411012003320150.00%0330.81000020000110029.41%1700000.6000000000
Team Total or Average73812923536404523076275081624158815.81%2571191916.154173114223134524617132517847.76%306100120.6100301182225
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
1Ron LowScouts (NYR)188440.8522.94100020493310100.00%01621000
2Jim ShawScouts (NYR)186930.8483.53103722614000000.00%01820200
3Pat RuppRangers62310.8543.3535801201370000.00%060100
4Joe JunkinRangers11000.8423.0060003190000.00%010000
Team Total or Average43171680.8503.2524564313388701004141300


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
Buster HarveyScouts (NYR)RW201/1/1950 5:02:55 AMYes185 Lbs5 ft11NoNoNo2Pro & Farm30,000$13,830$30,000$13,830$0$0$No30,000$
Chris OddleifsonScouts (NYR)C/RW201/1/1950 5:03:59 AMYes185 Lbs6 ft2NoNoNo2Pro & Farm43,000$19,823$43,000$19,823$0$0$No43,000$
Claude ChartreScouts (NYR)C211/1/1949 9:08:42 AMYes176 Lbs6 ft0NoNoNo1Pro & Farm5,000$2,305$5,000$2,305$0$0$No
Don LeverScouts (NYR)LW181/1/1952 7:35:56 PMYes185 Lbs5 ft11NoNoNo1Pro & Farm1,000$461$1,000$461$0$0$No
Doug RomboughScouts (NYR)C201/1/1950 4:43:34 AMYes200 Lbs6 ft3NoNoNo2Pro & Farm19,000$8,759$19,000$8,759$0$0$No19,000$
Garnet BaileyScouts (NYR)LW221/1/1948 6:11:56 PMYes192 Lbs5 ft11NoNoNo2Pro & Farm53,000$24,433$53,000$24,433$0$0$No53,000$Link / NHL Link
Germain GagnonScouts (NYR)LW281/1/1942 3:54:33 AMNo180 Lbs6 ft1NoNoNo2Pro & Farm94,000$43,333$94,000$43,333$0$0$No94,000$Link / NHL Link
Gord SmithScouts (NYR)D211/1/1949 6:34:20 PMYes175 Lbs5 ft10NoNoNo2Pro & Farm25,000$11,525$25,000$11,525$0$0$No25,000$Link / NHL Link
Henry BouchaScouts (NYR)C191/1/1951 6:57:13 PMYes185 Lbs6 ft0NoNoNo3Pro & Farm40,000$18,440$40,000$18,440$0$0$No40,000$40,000$
Jack GibsonScouts (NYR)LW231/1/1948 10:32:00 AMYes185 Lbs6 ft0NoNoNo2Pro & Farm47,000$21,667$47,000$21,667$0$0$No47,000$
Jim NeilsonScouts (NYR)D291/1/1941 4:42:53 AMNo208 Lbs6 ft3NoNoNo2Pro & Farm124,000$57,163$124,000$57,163$0$0$No124,000$Link / NHL Link
Jim ShawScouts (NYR)G251/1/1945 3:41:57 AMYes185 Lbs6 ft1NoNoNo1Pro & Farm70,000$32,270$70,000$32,270$0$0$No
Joe ZanussiScouts (NYR)D231/1/1947 8:35:10 PMYes185 Lbs5 ft9NoNoNo2Pro & Farm51,000$23,511$51,000$23,511$0$0$No51,000$
John MarksScouts (NYR)LW221/1/1948 6:27:39 PMYes200 Lbs6 ft2NoNoNo2Pro & Farm53,000$24,433$53,000$24,433$0$0$No53,000$Link / NHL Link
Mike BloomScouts (NYR)LW181/1/1952 7:21:54 PMYes205 Lbs6 ft3NoNoNo1Pro & Farm1,000$461$1,000$461$0$0$No
Otto SchneitbergerScouts (NYR)D311/1/1939 6:00:11 PMNo165 Lbs5 ft7NoNoNo2Pro & Farm86,000$39,645$86,000$39,645$0$0$No86,000$
Pierre DuguayScouts (NYR)C191/1/1951 7:10:19 PMYes178 Lbs5 ft10NoNoNo3Pro & Farm25,000$11,525$25,000$11,525$0$0$No25,000$25,000$
Pierre JarryScouts (NYR)LW211/1/1949 6:25:45 PMYes180 Lbs5 ft11NoNoNo2Pro & Farm45,000$20,745$45,000$20,745$0$0$No45,000$Link / NHL Link
Ron LowScouts (NYR)G201/1/1950 4:27:04 AMYes205 Lbs6 ft1NoNoNo2Pro & Farm30,000$13,830$30,000$13,830$0$0$No30,000$
Stan WeirScouts (NYR)C181/1/1952 7:11:02 PMYes170 Lbs6 ft1NoNoNo1Pro & Farm1,000$461$1,000$461$0$0$No
Terry FrenchScouts (NYR)D191/1/1951 7:23:26 PMYes220 Lbs6 ft1NoNoNo3Pro & Farm20,000$9,220$20,000$9,220$0$0$No20,000$20,000$
Terry MurrayScouts (NYR)D201/1/1950 4:07:56 AMYes190 Lbs6 ft2NoNoNo2Pro & Farm25,000$11,525$25,000$11,525$0$0$No25,000$
Tom WilliamsScouts (NYR)LW191/1/1951 7:19:27 PMYes180 Lbs5 ft11NoNoNo2Pro & Farm47,000$21,667$47,000$21,667$0$0$No47,000$
Wally OldsScouts (NYR)D211/1/1949 6:52:47 PMYes200 Lbs6 ft2NoNoNo2Pro & Farm41,000$18,901$41,000$18,901$0$0$No41,000$
Wieslaw JobczykScouts (NYR)RW161/1/1954 6:46:29 PMYes170 Lbs5 ft8NoNoNo1Pro & Farm1,000$461$1,000$461$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2521.32188 Lbs6 ft01.8839,080$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tom WilliamsWieslaw Jobczyk40122
2Jack GibsonDoug RomboughBuster Harvey30122
3Germain GagnonClaude ChartrePierre Jarry20122
4Garnet BaileyHenry Boucha10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe ZanussiJim Neilson40122
2Otto SchneitbergerWally Olds30122
3Terry MurrayGord Smith20122
4Joe ZanussiJim Neilson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tom WilliamsClaude ChartreBuster Harvey60122
2Jack GibsonDoug RomboughWieslaw Jobczyk40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe ZanussiJim Neilson60122
2Otto SchneitbergerWally Olds40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tom Williams60122
2Doug RomboughJack Gibson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe ZanussiJim Neilson60122
2Otto SchneitbergerWally Olds40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Joe ZanussiJim Neilson60122
2Doug Rombough40122Otto SchneitbergerWally Olds40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tom Williams60122
2Doug RomboughJack Gibson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe ZanussiJim Neilson60122
2Otto SchneitbergerWally Olds40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tom WilliamsWieslaw JobczykJoe ZanussiJim Neilson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Germain GagnonClaude ChartreJoe ZanussiJim Neilson
Extra Forwards
Normal PowerPlayPenalty Kill
Garnet Bailey, Buster Harvey, Pierre JarryGarnet Bailey, Buster HarveyGarnet Bailey
Extra Defensemen
Normal PowerPlayPenalty Kill
Wally Olds, Terry Murray, Gord SmithWally OldsWally Olds, Terry Murray
Penalty Shots
, Tom Williams, Jack Gibson, Germain Gagnon, Garnet Bailey
Goalie
#1 : , #2 : Jim Shaw


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
1Americans52030000211563201000014862002000077070.700214162015538360119266265285011935568819421.05%25292.00%0555117247.35%561120346.63%34668650.44%946641993306519258
2Brass3120000089-11010000034-12110000055020.333813210155383605826626528504411265311327.27%11190.91%0555117247.35%561120346.63%34668650.44%946641993306519258
3Canadiens32100000761220000006331010000013-240.6677121900553836052266265285050173351700.00%14378.57%0555117247.35%561120346.63%34668650.44%946641993306519258
4Cougars4202000014104210100006332101000087160.7501426400155383608826626528508728468214535.71%23386.96%0555117247.35%561120346.63%34668650.44%946641993306519258
5Generals4400000017983300000013761100000042281.0001731480055383606826626528509125438813753.85%18477.78%0555117247.35%561120346.63%34668650.44%946641993306519258
6Grizzlies523000001116-51010000004-4422000001112-140.400111829005538360108266265285010327487331516.13%23673.91%0555117247.35%561120346.63%34668650.44%946641993306519258
7Mooseheads20200000610-41010000034-11010000036-300.00061218005538360462662652850511228317228.57%13469.23%0555117247.35%561120346.63%34668650.44%946641993306519258
8Rush614100001725-830210000816-83120000099030.2501731480055383601082662652850131406212527518.52%29679.31%0555117247.35%561120346.63%34668650.44%946641993306519258
9Stingers412100001218-61001000044031200000814-630.37512223400553836062266265285011435528017423.53%231056.52%0555117247.35%561120346.63%34668650.44%946641993306519258
10Thunderbirds422000001413132100000121021010000023-140.5001425390055383608826626528507923417720525.00%17664.71%1555117247.35%561120346.63%34668650.44%946641993306519258
11Tigers10010000220000000000001001000022010.50024600553836019266265285018421146116.67%5180.00%1555117247.35%561120346.63%34668650.44%946641993306519258
Total41171680000129133-420106400006963621710400006070-10420.51212923536403553836081626626528508872574567621724123.84%2014677.11%2555117247.35%561120346.63%34668650.44%946641993306519258
_Since Last GM Reset41251600000129133-4201064000069636211510-400006070-10500.61012923536403553836081626626528508872574567621724123.84%2014677.11%2555117247.35%561120346.63%34668650.44%946641993306519258
_Vs Conference41251600000129133-4201064000069636211510-400006070-10500.61012923536403553836081626626528508872574567621724123.84%2014677.11%2555117247.35%561120346.63%34668650.44%946641993306519258
_Vs Division15109000004750-3834200002629-3775-2000021210200.6674786133015538360303266265285031595170298671623.88%741678.38%2555117247.35%561120346.63%34668650.44%946641993306519258

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4142W112923536481688725745676203
All Games
GPWLOTWOTL TGFGA
411716008129133
Home Games
GPWLOTWOTL TGFGA
201060046963
Visitor Games
GPWLOTWOTL TGFGA
217100046070
Last 10 Games
WLOTWOTL T
54001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1724123.84%2014677.11%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
26626528505538360
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
555117247.35%561120346.63%34668650.44%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
946641993306519258


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 - 2022-11-071Generals1Scouts2BWBoxScore
3 - 2022-11-098Scouts2Grizzlies4ALBoxScore
7 - 2022-11-1320Thunderbirds6Scouts3BLBoxScore
9 - 2022-11-1529Scouts2Thunderbirds3ALBoxScore
11 - 2022-11-1736Stingers4Scouts4BTBoxScore
12 - 2022-11-1841Scouts5Rush2AWBoxScore
14 - 2022-11-2048Scouts3Cougars2AWBoxScore
16 - 2022-11-2256Grizzlies4Scouts0BLBoxScore
17 - 2022-11-2362Scouts2Stingers8ALBoxScore
19 - 2022-11-2570Americans3Scouts6BWBoxScore
21 - 2022-11-2778Scouts1Grizzlies4ALBoxScore
22 - 2022-11-2885Brass4Scouts3BLBoxScore
24 - 2022-11-3094Canadiens1Scouts2BWBoxScore
28 - 2022-12-04102Scouts1Canadiens3ALBoxScore
29 - 2022-12-05107Scouts4Generals2AWBoxScore
32 - 2022-12-08115Thunderbirds3Scouts4BWBoxScore
34 - 2022-12-10123Scouts4Grizzlies2AWBoxScore
35 - 2022-12-11130Rush5Scouts5BTBoxScore
37 - 2022-12-13137Scouts2Rush4ALBoxScore
39 - 2022-12-15145Rush7Scouts2BLBoxScore
40 - 2022-12-16152Scouts3Americans3ATBoxScore
42 - 2022-12-18160Americans5Scouts5BTBoxScore
44 - 2022-12-20169Generals2Scouts6BWBoxScore
45 - 2022-12-21175Scouts1Brass0AWBoxScore
46 - 2022-12-22183Scouts4Grizzlies2AWBoxScore
48 - 2022-12-24190Cougars3Scouts3BTBoxScore
50 - 2022-12-26197Scouts5Cougars5ATBoxScore
51 - 2022-12-27205Thunderbirds1Scouts5BWBoxScore
52 - 2022-12-28211Scouts3Mooseheads6ALBoxScore
55 - 2022-12-31220Rush4Scouts1BLBoxScore
56 - 2023-01-01225Scouts2Tigers2ATBoxScore
60 - 2023-01-05236Canadiens2Scouts4BWBoxScore
62 - 2023-01-07244Mooseheads4Scouts3BLBoxScore
64 - 2023-01-09250Scouts4Brass5ALBoxScore
67 - 2023-01-12259Generals4Scouts5BWBoxScore
68 - 2023-01-13267Scouts2Stingers3ALBoxScore
69 - 2023-01-14272Scouts4Americans4ATBoxScore
71 - 2023-01-16279Americans0Scouts3BWBoxScore
72 - 2023-01-17285Scouts4Stingers3AWBoxScore
74 - 2023-01-19294Scouts2Rush3ALBoxScore
75 - 2023-01-20300Cougars0Scouts3BWBoxScore
78 - 2023-01-23311Mooseheads-Scouts-
79 - 2023-01-24318Brass-Scouts-
81 - 2023-01-26322Scouts-Growlers-
84 - 2023-01-29331Scouts-Growlers-
85 - 2023-01-30338Scouts-Wolves-
87 - 2023-02-01345Wolves-Scouts-
89 - 2023-02-03354Brass-Scouts-
91 - 2023-02-05363Scouts-Canadiens-
92 - 2023-02-06370Grizzlies-Scouts-
96 - 2023-02-10380Growlers-Scouts-
97 - 2023-02-11385Scouts-Mooseheads-
99 - 2023-02-13392Scouts-Tigers-
100 - 2023-02-14399Cougars-Scouts-
103 - 2023-02-17410Growlers-Scouts-
104 - 2023-02-18417Scouts-Wolves-
107 - 2023-02-21426Stingers-Scouts-
108 - 2023-02-22433Scouts-Canadiens-
109 - 2023-02-23437Scouts-Cougars-
111 - 2023-02-25444Grizzlies-Scouts-
114 - 2023-02-28454Tigers-Scouts-
Trade Deadline --- Trades can’t be done after this day is simulated!
116 - 2023-03-02461Scouts-Growlers-
118 - 2023-03-04466Scouts-Thunderbirds-
119 - 2023-03-05475Tigers-Scouts-
121 - 2023-03-07486Generals-Scouts-
123 - 2023-03-09491Scouts-Generals-
126 - 2023-03-12500Stingers-Scouts-
127 - 2023-03-13505Scouts-Marlboros-
129 - 2023-03-15514Scouts-Marlboros-
131 - 2023-03-17521Wolves-Scouts-
132 - 2023-03-18524Scouts-Thunderbirds-
135 - 2023-03-21535Marlboros-Scouts-
136 - 2023-03-22540Scouts-Generals-
139 - 2023-03-25552Marlboros-Scouts-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price52
Attendance38,52719,251
Attendance PCT96.32%96.26%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
17 2889 - 96.30% 9,823$196,468$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
79,393$ 97,700$ 97,700$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 57,857$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
166,998$ 65 977$ 63,505$




Scouts 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
1Yuri Shatalov2365616221817304622836115.51%171484820.544048882470001830.00%10.9000
2Peter Stammbach270941072012183839050418.65%12508218.83244266892021712848.4810.7900
3Wayne Muloin3063916019949387726927614.13%232568018.572329521460333420.00%00.7000
4Craig Patrick294881041921921851431264613.62%28550218.71173148126000158541.2710.7000
5Yevgeni Zimin169878216947369422950817.13%20338620.04263359115000712642.9241.0000

Scouts Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Don McLeod1896876270.8473.181012510553735180720.00%0
2Andy Brown1205437250.8672.7367880630923260630.00%0
3Curt Ridley3113770.8792.50165923695720110.00%0
4Dave Reece2651340.8183.74133201834560100.00%0
5Bruce Landon153310.8693.1956520302290000.00%0

Scouts 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
Regular Season
28782242140000231278-4739141870000130133-33982470000101145-445823142265322867174016275695185400165447082514802455823.67%3387577.81%11138213353.35%1107215951.27%657126551.94%185712771823570998495
29783328170000239223163922134000013310726391115130000106116-108323945169025788774015615184975460161843876814862635721.67%3317078.85%21024208649.09%1047218847.85%571120847.27%183512661870564974483
3078392514000025321142391916400001231111239209100000130100309225347072314848287017835716086040152342871713142997324.41%3035681.52%11188224652.89%1110211552.48%605117451.53%187413111831567974489
3178322917000026423430391516800001321191339171390000132115178126448675023908292018096046046010165847087114293107223.23%3678078.20%11270230955.00%1237230353.71%653121753.66%186613031857562955474
3240201640000123120320117200006959102099200005461-74412322034301414537087327329031008492363787171633219.63%1463278.08%2567115848.96%547112448.67%29462846.82%950660954292494248
Total Regular Season35314314070000011161079371768069270000587533541776371430000529546-173561116206431807173933603630759625282492257607340206336376471128930123.35%154032778.77%75175994652.03%5062996850.78%2832555051.03%838057998376257044222200
Playoff
2917107000006254897200000382810835000002426-220621101720116311413901251361245373110129308531426.42%581082.76%020046742.83%23748049.38%14627253.68%416290406123214108
311376000005149263300000222207430000029272145110015110162014131896107112331090104226601423.33%421271.43%320439651.52%18538148.56%11023646.61%3212293029016080
Total Playoff30171300000113103101510500000605010157800000535303411321032311325128270822124323686832002335341132824.78%1002278.00%340486346.81%42286149.01%25650850.39%737519708213374188

Scouts 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
1Yuri Shatalov3073239048305412.96%3266322.105510330110100.00%01.1800
2Yevgeni Zimin301621378215329417.02%158219.4337101800002052.5011.2700
3Peter Stammbach30820284011505115.69%455618.54055410110046.6601.0100
4Wayne Muloin30719262821123818.42%3766722.24437190111110.00%00.7800
5Bob Sicinski17101020340254820.83%132419.07044700003049.0601.2300

Scouts Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Andy Brown1710700.8483.2193501503300100.00%0
2Don McLeod167500.8543.4282500473230010.00%0
3Bruce Landon30100.8285.1758005290000.00%0