Login

Tigers
GP: 40 | W: 13 | L: 16 | T: 11 | P: 37
GF: 118 | GA: 113 | PP%: 17.34% | PK%: 78.99%
GM : Charlie | Morale : 48 | Team Overall : 69
Next Games #304 vs Thunderbirds
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Tigers
13-16-0, 37pts
3
FINAL
4 Generals
14-22-0, 33pts
Team Stats
W1StreakL2
6-7-0Home Record7-10-0
7-9-0Away Record7-12-0
2-7-0Last 10 Games4-5-0
2.95Goals Per Game2.63
2.83Goals Against Per Game3.10
17.34%Power Play Percentage16.46%
78.99%Penalty Kill Percentage75.00%
Grizzlies
15-22-0, 33pts
1
FINAL
3 Tigers
13-16-0, 37pts
Team Stats
L1StreakW1
7-13-0Home Record6-7-0
8-9-0Away Record7-9-0
3-7-0Last 10 Games2-7-0
2.75Goals Per Game2.95
3.25Goals Against Per Game2.83
19.74%Power Play Percentage17.34%
76.92%Penalty Kill Percentage78.99%
Thunderbirds
19-12-0, 48pts
2023-01-22
Tigers
13-16-0, 37pts
Team Stats
T1StreakW1
6-6-0Home Record6-7-0
13-6-0Away Record7-9-0
4-5-0Last 10 Games2-7-0
3.54Goals Per Game2.95
2.78Goals Against Per Game2.95
25.00%Power Play Percentage17.34%
80.45%Penalty Kill Percentage78.99%
Tigers
13-16-0, 37pts
2023-01-23
Grizzlies
15-22-0, 33pts
Team Stats
W1StreakL1
6-7-0Home Record7-13-0
7-9-0Away Record8-9-0
2-7-0Last 10 Games3-7-0
2.95Goals Per Game2.75
2.83Goals Against Per Game2.75
17.34%Power Play Percentage19.74%
78.99%Penalty Kill Percentage76.92%
Tigers
13-16-0, 37pts
2023-01-25
Generals
14-22-0, 33pts
Team Stats
W1StreakL2
6-7-0Home Record7-10-0
7-9-0Away Record7-12-0
2-7-0Last 10 Games4-5-0
2.95Goals Per Game2.63
2.83Goals Against Per Game2.63
17.34%Power Play Percentage16.46%
78.99%Penalty Kill Percentage75.00%
Team Leaders
Goals
Michel Briere
13
Assists
Ab DeMarco Jr
23
Points
Michel Briere
29
Plus/Minus
Terry Caffery
14
Wins
Alexander Sidelnikov
9
Save Percentage
Jiri Kralik
1

Team Stats
Goals For
118
2.95 GFG
Shots For
816
20.40 Avg
Power Play Percentage
17.3%
30 GF
Offensive Zone Start
39.4%
Goals Against
113
2.83 GAA
Shots Against
815
20.38 Avg
Penalty Kill Percentage
79.0%%
29 GA
Defensive Zone Start
38.9%
Team Info

General ManagerCharlie
CoachFred Glover
DivisionCHL
ConferenceAHL
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,920
Season Tickets300


Roster Info

Pro Team28
Farm Team21
Contract Limit49 / 60
Prospects6


Team History

This Season13-16-11 ( 37PTS)
History155-127-70 (0.440%)
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
1Bob Whitlock (R)0X96.0068468171738880808783846775424255472121262,000$
2Steve Atkinson (R)0X99.00603582787285997456697576643639286070022236,000$
3Fred O'Donnell0X98.0060367876708394775574797166353356570021236,000$
4Alexander Lobanov (R)0XXX100.006133737171767484778684708330261217001727,500$
5Grant Erickson (R)0X100.00572581786891997353747270673940165269023247,000$
6Rich Pumple (R)0X100.0097796768788372738869728269393616269122247,000$
7Terry Caffery (R)0X100.00542591776883997490628573653131106669021236,000$
8Don Hay (R)0X100.0072538370748083705468668062363115267023228,000$
9Steve Alley (R)0X100.0071437072727878735574727467272592367019320,000$
10Doug Barrie (R)0X100.00644279737496978215807976635461154873124286,000$
11Pierre Bouchard (R)0X100.00988065698083727615706987593848515672022265,000$
12Kerry Ketter (R)0X100.0095696768778573712066648957383516871023241,000$
13Timo Saari (R)0X100.0067427775747792731570708061394076270021262,000$
14Ab DeMarco Jr (R)0X100.00593380777088997315737079593136286770021242,000$
15Ken Murray (R)0X100.0075466772728890671561598355323056069022235,000$
16Ron Plumb (R)0X100.00633673737082897515876576632938466169020230,000$
Scratches
1Michel Briere (R)0X95.0053268283699199798487796965363216073021385,000$
2Bill Hogaboam (R)0X97.00554284797190997983817966673943146272021275,000$
3John Gould (R)0X100.00906376697589748054768276683744325771021248,000$
4Rey Comeau (R)0X100.00774979657087756985747480663443532868022243,000$
5Roger Bamburak (R)0X100.0073417370709089725569677961333011967022228,000$
6Gene Carr (R)0X100.00684273717076767075716674632633402065019312,000$
7Alexander Skvortsov (R)0X100.0070397159737454707066786673252413196201611,000$
8Alexander Novozhilov (R)0X100.0073447472728084601556588253302842066020320,000$
9Dwight Bialowas (R)0X100.0074507566777172661568557458252414206301811,000$
TEAM AVERAGE99.40704576727284847450737276643436164769
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
1Alexander Sidelnikov (R)098.007064747273969593928264353015976020335,000$
2Jiri Kralik (R)0100.00747572697289888787856430261397301917,500$
Scratches
1Chris Worthy (R)0100.0071727573738683848377683230102072023234,000$
TEAM AVERAGE99.337270747173908988878165322943974
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Fred Glover61616362616139CAN37140,000$


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
1Michel BriereTigers (CHI)C38131629-740176569184518.84%384822.32358221350003702050.99%35300000.6800000212
2Ab DeMarco JrTigers (CHI)D404232780054134152111.76%4285921.5014523115000060000.00%000000.6300000210
3John GouldTigers (CHI)LW38121527134001064384154414.29%773919.46336161210111832028.21%7800000.7300000116
4Kerry KetterTigers (CHI)D407182535601144645101915.56%3892523.14551028125000089100.00%000000.5400000113
5Doug BarrieTigers (CHI)D343212456012293912247.69%2551515.1725729100011174010.00%000000.9300000101
6Pierre BouchardTigers (CHI)D36913221460512838101623.68%1349313.7254926104000019000.00%000000.8900000100
7Bill HogaboamTigers (CHI)C389132242073466154713.64%178920.77134141320000380146.90%14500000.5600000201
8Fred O'DonnellTigers (CHI)RW4071421106022507123469.86%670117.5303313881013651143.68%17400000.6000000021
9Bob WhitlockTigers (CHI)C34101020-4120535959173316.95%270220.6618913970000522050.70%42800010.5700000220
10Steve AtkinsonTigers (CHI)RW4081119-8140278068143511.76%672018.0012316880001270043.54%71200000.5300000210
11Don BurgessBlackhawksLW246111742093440153815.00%154922.911348940000371040.42%28700000.6200000021
12Terry CafferyTigers (CHI)C3910717140004841153324.39%139510.1300000000072151.90%36800000.8600000202
13Timo SaariTigers (CHI)D4041115-6180443036162811.11%3682420.6244824129000096010.00%000000.3600000011
14Rich PumpleTigers (CHI)C404111534007727447279.09%251312.85145968000061050.98%5100000.5800000011
15Grant EricksonTigers (CHI)LW355510-780172031132116.13%452915.121235540000550037.93%23200000.3800000110
16Don HayTigers (CHI)RW37369-10241030181541620.00%13479.3811228000030040.00%1500000.5200011200
17Ron PlumbTigers (CHI)D40279-41204048122316.67%3270017.5100018000089100.00%000000.2600000011
18Ken MurrayTigers (CHI)D401781100191914387.14%2148112.0401128000022000.00%000000.3300000010
19Rey ComeauTigers (CHI)C141122000230033.33%0282.0100000000130025.00%400001.4200000010
20Gene CarrTigers (CHI)C6000000000000.00%000.030000000000000.00%000000.00%00000000
21Steve AlleyTigers (CHI)LW13000-100110010.00%080.640000000000000.00%000000.00%00000000
22Alexander LobanovTigers (CHI)C/LW/RW6000-400367280.00%06611.08000000000000100.00%300000.00%00000000
23Alexander SkvortsovTigers (CHI)LW6000000000000.00%020.340000000000000.00%000000.00%00000000
Team Total or Average718118220338173001065472881622651314.46%2411174316.3630578725114831231090613545.75%285000010.5800011191720
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
1Alexander SidelnikovTigers (CHI)2991550.8473.02165102835440120.00%02911111
2Bob SneddonBlackhawks114160.8892.4665920272440000.00%0110010
3Chris WorthyTigers (CHI)10000.7502.402500140000.00%007000
4Jiri KralikTigers (CHI)20001.0000.00%56000210000.00%0022000
Team Total or Average431316110.8632.7823922211181301204040121


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
Ab DeMarco JrTigers (CHI)D211/1/1949 6:10:26 PMYes170 Lbs6 ft0NoNoNo2Pro & Farm42,000$19,362$42,000$19,362$0$0$No42,000$
Alexander LobanovTigers (CHI)C/LW/RW171/1/1953 6:14:41 PMYes181 Lbs5 ft10NoNoNo2Pro & Farm7,500$3,457$7,500$3,457$0$0$No7,500$
Alexander NovozhilovTigers (CHI)D201/1/1950 6:52:49 PMYes185 Lbs6 ft0NoNoNo3Pro & Farm20,000$9,220$20,000$9,220$0$0$No20,000$20,000$
Alexander SidelnikovTigers (CHI)G201/1/1950 6:30:58 PMYes181 Lbs5 ft9NoNoNo3Pro & Farm35,000$16,135$35,000$16,135$0$0$No35,000$35,000$
Alexander SkvortsovTigers (CHI)LW161/1/1954 6:47:51 PMYes190 Lbs5 ft7NoNoNo1Pro & Farm1,000$461$1,000$461$0$0$No
Bill HogaboamTigers (CHI)C211/1/1949 6:22:47 PMYes170 Lbs5 ft11NoNoNo2Pro & Farm75,000$34,574$75,000$34,574$0$0$No75,000$
Bob WhitlockTigers (CHI)C211/1/1949 7:28:08 PMYes187 Lbs5 ft10NoNoNo2Pro & Farm62,000$28,582$62,000$28,582$0$0$No62,000$
Chris WorthyTigers (CHI)G231/1/1947 6:04:38 PMYes180 Lbs6 ft0NoNoNo2Pro & Farm34,000$15,674$34,000$15,674$0$0$No34,000$
Don HayTigers (CHI)RW231/1/1947 8:12:21 PMYes190 Lbs6 ft0NoNoNo2Pro & Farm28,000$12,908$28,000$12,908$0$0$No28,000$
Doug BarrieTigers (CHI)D241/1/1946 5:14:01 PMYes175 Lbs5 ft9NoNoNo2Pro & Farm86,000$39,645$86,000$39,645$0$0$No86,000$
Dwight BialowasTigers (CHI)D181/1/1952 7:35:01 PMYes190 Lbs6 ft2NoNoNo1Pro & Farm1,000$461$1,000$461$0$0$No
Fred O'DonnellTigers (CHI)RW211/1/1949 6:13:34 PMNo175 Lbs5 ft10NoNoNo2Pro & Farm36,000$16,596$36,000$16,596$0$0$No36,000$
Gene CarrTigers (CHI)C191/1/1951 6:49:20 PMYes185 Lbs5 ft11NoNoNo3Pro & Farm12,000$5,532$12,000$5,532$0$0$No12,000$12,000$
Grant EricksonTigers (CHI)LW231/1/1947 6:20:11 PMYes165 Lbs5 ft9NoNoNo2Pro & Farm47,000$21,667$47,000$21,667$0$0$No47,000$
Jiri KralikTigers (CHI)G191/1/1952 5:06:34 AMYes165 Lbs5 ft9NoNoNo1Pro & Farm7,500$3,457$7,500$3,457$0$0$No
John GouldTigers (CHI)LW211/1/1949 6:16:34 PMYes197 Lbs5 ft11NoNoNo2Pro & Farm48,000$22,128$48,000$22,128$0$0$No48,000$
Ken MurrayTigers (CHI)D221/1/1948 6:29:25 PMYes183 Lbs6 ft0NoNoNo2Pro & Farm35,000$16,135$35,000$16,135$0$0$No35,000$
Kerry KetterTigers (CHI)D231/1/1947 8:39:11 PMYes202 Lbs6 ft1NoNoNo2Pro & Farm41,000$18,901$41,000$18,901$0$0$No41,000$
Michel BriereTigers (CHI)C211/1/1949 6:18:47 PMYes165 Lbs5 ft10NoNoNo3Pro & Farm85,000$39,184$85,000$39,184$0$0$No85,000$85,000$
Pierre BouchardTigers (CHI)D221/1/1948 6:37:45 PMYes205 Lbs6 ft2NoNoNo2Pro & Farm65,000$29,965$65,000$29,965$0$0$No65,000$
Rey ComeauTigers (CHI)C221/1/1948 6:42:31 PMYes190 Lbs5 ft8NoNoNo2Pro & Farm43,000$19,823$43,000$19,823$0$0$No43,000$
Rich PumpleTigers (CHI)C221/1/1948 6:43:51 PMYes205 Lbs6 ft2NoNoNo2Pro & Farm47,000$21,667$47,000$21,667$0$0$No47,000$
Roger BamburakTigers (CHI)RW221/1/1948 6:46:43 PMYes180 Lbs5 ft10NoNoNo2Pro & Farm28,000$12,908$28,000$12,908$0$0$No28,000$
Ron PlumbTigers (CHI)D201/1/1950 3:56:04 AMYes175 Lbs5 ft10NoNoNo2Pro & Farm30,000$13,830$30,000$13,830$0$0$No30,000$
Steve AlleyTigers (CHI)LW191/1/1951 7:18:22 PMYes185 Lbs6 ft0NoNoNo3Pro & Farm20,000$9,220$20,000$9,220$0$0$No20,000$20,000$
Steve AtkinsonTigers (CHI)RW221/1/1948 6:50:40 PMYes172 Lbs6 ft0NoNoNo2Pro & Farm36,000$16,596$36,000$16,596$0$0$No36,000$
Terry CafferyTigers (CHI)C211/1/1949 6:20:49 PMYes165 Lbs5 ft9NoNoNo2Pro & Farm36,000$16,596$36,000$16,596$0$0$No36,000$
Timo SaariTigers (CHI)D211/1/1949 3:42:52 AMYes181 Lbs6 ft2NoNoNo2Pro & Farm62,000$28,582$62,000$28,582$0$0$No62,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2820.86182 Lbs5 ft112.0738,214$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rich Pumple40122
2Don HaySteve AtkinsonBob Whitlock30122
3Alexander LobanovGrant EricksonFred O'Donnell20122
4Fred O'DonnellBob Whitlock10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kerry KetterAb DeMarco Jr40122
2Ron PlumbTimo Saari30122
3Pierre BouchardKen Murray20122
4Timo SaariKerry Ketter10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Bob Whitlock60122
2Fred O'DonnellSteve AtkinsonRich Pumple40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Pierre BouchardAb DeMarco Jr60122
2Kerry KetterTimo Saari40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Fred O'Donnell60122
2Steve AtkinsonBob Whitlock40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ab DeMarco JrTimo Saari60122
2Ron PlumbKerry Ketter40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Kerry KetterRon Plumb60122
2Fred O'Donnell40122Timo SaariAb DeMarco Jr40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Bob Whitlock60122
2Fred O'DonnellSteve Atkinson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kerry KetterTimo Saari60122
2Ab DeMarco JrRon Plumb40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Bob WhitlockPierre BouchardKerry Ketter
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Bob WhitlockPierre BouchardKerry Ketter
Extra Forwards
Normal PowerPlayPenalty Kill
Fred O'Donnell, Bob Whitlock, , Bob Whitlock
Extra Defensemen
Normal PowerPlayPenalty Kill
Timo Saari, Kerry Ketter, Ken MurrayKerry KetterKerry Ketter, Timo Saari
Penalty Shots
, , Rich Pumple, Bob Whitlock, Fred O'Donnell
Goalie
#1 : Alexander Sidelnikov, #2 : Jiri Kralik


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
1Americans3210000013103110000004222110000098140.6671324370052293706227825628205419144715320.00%7442.86%0498112444.31%521111046.94%28561646.27%947649940296511259
2Canadiens612300001619-33012000078-131110000911-250.4171628440052293701132782562820136294511830723.33%19668.42%1498112444.31%521111046.94%28561646.27%947649940296511259
3Cougars20200000410-61010000025-31010000025-300.0004812005229370292782562820451718253133.33%90100.00%0498112444.31%521111046.94%28561646.27%947649940296511259
4Generals42200000111102110000034-12110000087140.5001121321152293707627825628207623266615426.67%12191.67%0498112444.31%521111046.94%28561646.27%947649940296511259
5Grizzlies22000000826220000008260000000000041.00081624005229370452782562820351516328225.00%80100.00%0498112444.31%521111046.94%28561646.27%947649940296511259
6Growlers5203000013942002000022032010000117470.70013263901522937012027825628209823479725416.00%18194.44%0498112444.31%521111046.94%28561646.27%947649940296511259
7Marlboros5221000013112210100009723120000044050.5001322350052293701072782562820993142813425.88%18477.78%0498112444.31%521111046.94%28561646.27%947649940296511259
8Mooseheads321000001578211000007521100000082640.667152944005229370742782562820581614391119.09%70100.00%0498112444.31%521111046.94%28561646.27%947649940296511259
9Rush10010000330000000000001001000033010.5003690052293702027825628202266146116.67%30100.00%0498112444.31%521111046.94%28561646.27%947649940296511259
10Scouts10010000220100100002200000000000010.50023500522937018278256282019612175120.00%6183.33%0498112444.31%521111046.94%28561646.27%947649940296511259
11Stingers2011000046-22011000046-20000000000010.250481210522937029278256282038108397114.29%4250.00%0498112444.31%521111046.94%28561646.27%947649940296511259
12Thunderbirds2011000078-11010000034-11001000044010.25071320005229370402782562820441720278225.00%10280.00%0498112444.31%521111046.94%28561646.27%947649940296511259
13Wolves40400000915-61010000013-230300000812-400.00091625005229370832782562820912934526116.67%17852.94%0498112444.31%521111046.94%28561646.27%947649940296511259
Total40131611000011811352067700005250220794000066633370.46311822033822522937081627825628208152413026541733017.34%1382978.99%1498112444.31%521111046.94%28561646.27%947649940296511259
_Since Last GM Reset4024160000011811352067700005250220189-7000066633480.60011822033822522937081627825628208152413026541733017.34%1382978.99%1498112444.31%521111046.94%28561646.27%947649940296511259
_Vs Conference4024160000011811352067700005250220189-7000066633480.60011822033822522937081627825628208152413026541733017.34%1382978.99%1498112444.31%521111046.94%28561646.27%947649940296511259
_Vs Division16167000004940993350000282177134-5000021192321.0004991140215229370319278256282030298106265791215.19%491177.55%0498112444.31%521111046.94%28561646.27%947649940296511259

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4037W111822033881681524130265422
All Games
GPWLOTWOTL TGFGA
4013160011118113
Home Games
GPWLOTWOTL TGFGA
20670075250
Visitor Games
GPWLOTWOTL TGFGA
20790046663
Last 10 Games
WLOTWOTL T
27001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1733017.34%1382978.99%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27825628205229370
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
498112444.31%521111046.94%28561646.27%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
947649940296511259


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 - 2022-11-073Tigers3Wolves4ALBoxScore
4 - 2022-11-1010Canadiens1Tigers1BTBoxScore
8 - 2022-11-1423Tigers5Growlers4AWBoxScore
9 - 2022-11-1528Grizzlies1Tigers5BWBoxScore
11 - 2022-11-1738Marlboros3Tigers3BTBoxScore
13 - 2022-11-1946Tigers5Generals3AWBoxScore
14 - 2022-11-2049Tigers5Americans2AWBoxScore
17 - 2022-11-2358Canadiens2Tigers2BTBoxScore
18 - 2022-11-2467Growlers2Tigers2BTBoxScore
19 - 2022-11-2574Tigers0Marlboros1ALBoxScore
21 - 2022-11-2782Generals0Tigers1BWBoxScore
23 - 2022-11-2986Tigers4Americans6ALBoxScore
25 - 2022-12-0196Tigers8Mooseheads2AWBoxScore
27 - 2022-12-03101Tigers3Wolves5ALBoxScore
28 - 2022-12-04104Mooseheads2Tigers5BWBoxScore
32 - 2022-12-08116Americans2Tigers4BWBoxScore
34 - 2022-12-10125Tigers4Growlers1AWBoxScore
36 - 2022-12-12131Thunderbirds4Tigers3BLBoxScore
37 - 2022-12-13140Tigers2Growlers2ATBoxScore
39 - 2022-12-15146Growlers0Tigers0BTBoxScore
41 - 2022-12-17156Mooseheads3Tigers2BLBoxScore
42 - 2022-12-18163Tigers3Canadiens3ATBoxScore
44 - 2022-12-20171Cougars5Tigers2BLBoxScore
45 - 2022-12-21177Tigers2Cougars5ALBoxScore
47 - 2022-12-23185Marlboros4Tigers6BWBoxScore
49 - 2022-12-25193Tigers3Marlboros1AWBoxScore
50 - 2022-12-26200Canadiens5Tigers4BLBoxScore
52 - 2022-12-28209Tigers4Thunderbirds4ATBoxScore
54 - 2022-12-30217Stingers3Tigers3BTBoxScore
56 - 2023-01-01225Scouts2Tigers2BTBoxScore
57 - 2023-01-02228Tigers3Rush3ATBoxScore
61 - 2023-01-06238Tigers1Marlboros2ALBoxScore
63 - 2023-01-08245Wolves3Tigers1BLBoxScore
65 - 2023-01-10254Tigers4Canadiens2AWBoxScore
67 - 2023-01-12260Stingers3Tigers1BLBoxScore
69 - 2023-01-14269Tigers2Canadiens6ALBoxScore
70 - 2023-01-15275Generals4Tigers2BLBoxScore
72 - 2023-01-17282Tigers2Wolves3ALBoxScore
73 - 2023-01-18290Tigers3Generals4ALBoxScore
75 - 2023-01-20296Grizzlies1Tigers3BWBoxScore
77 - 2023-01-22304Thunderbirds-Tigers-
78 - 2023-01-23309Tigers-Grizzlies-
80 - 2023-01-25319Tigers-Generals-
83 - 2023-01-28327Rush-Tigers-
85 - 2023-01-30336Tigers-Stingers-
86 - 2023-01-31340Rush-Tigers-
88 - 2023-02-02350Tigers-Wolves-
89 - 2023-02-03355Americans-Tigers-
91 - 2023-02-05366Growlers-Tigers-
93 - 2023-02-07372Tigers-Cougars-
95 - 2023-02-09378Tigers-Grizzlies-
97 - 2023-02-11384Tigers-Brass-
99 - 2023-02-13392Scouts-Tigers-
100 - 2023-02-14400Tigers-Brass-
102 - 2023-02-16404Generals-Tigers-
104 - 2023-02-18415Marlboros-Tigers-
107 - 2023-02-21427Wolves-Tigers-
109 - 2023-02-23435Tigers-Thunderbirds-
110 - 2023-02-24440Tigers-Stingers-
111 - 2023-02-25447Brass-Tigers-
114 - 2023-02-28454Tigers-Scouts-
Trade Deadline --- Trades can’t be done after this day is simulated!
116 - 2023-03-02462Mooseheads-Tigers-
118 - 2023-03-04469Tigers-Rush-
119 - 2023-03-05475Tigers-Scouts-
120 - 2023-03-06479Cougars-Tigers-
122 - 2023-03-08488Tigers-Americans-
124 - 2023-03-10493Brass-Tigers-
127 - 2023-03-13506Canadiens-Tigers-
130 - 2023-03-16515Grizzlies-Tigers-
131 - 2023-03-17522Tigers-Americans-
134 - 2023-03-20530Grizzlies-Tigers-
135 - 2023-03-21536Tigers-Mooseheads-
136 - 2023-03-22542Tigers-Mooseheads-
139 - 2023-03-25553Stingers-Tigers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price42
Attendance39,00119,392
Attendance PCT97.50%96.96%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
17 2920 - 97.32% 8,279$165,571$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
83,920$ 107,000$ 107,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 62,351$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
140,735$ 65 1,043$ 67,795$




Tigers 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
1Bob Ash278551692242615134232130518.03%238607721.863243751840332640.00%20.7400
2Rene Leclerc312841192032784946153215.79%47593219.0120476710212310121251.7310.6800
3Doug Barrie346361471832512223528429312.29%237651018.822336591930114540.00%00.5600
4Jim Lorentz262631001633812931240043314.55%27448217.119263569000611350.0930.7300
5Bob Barber306401181581314531325025915.44%214532317.402433571480112340.00%00.5900

Tigers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Bob Sneddon26912195500.8572.86154881613737513601250.00%0
2Alexander Sidelnikov863025180.8642.6845062420114820330.00%0
3Chris Worthy204520.8542.9683000412810000.00%0
4Jiri Kralik40100.9670.7086001300000.00%0
5Jim Shaw80100.8732.37177007550000.00%0

Tigers 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
2878283119000024524503917157000012411410391116120000121131-1075245445690321026182016065465265340153543346611673087323.70%1874973.80%11047206350.75%1025200051.25%598125747.57%183912871856559983494
297841289000024121724392411400001411142739171750000100103-39124143567601978658016265585385300156448764212792576123.74%2646475.76%11130210653.66%1061212150.02%617123050.16%185912921833557987496
307835291400002372162139211260000112100123914178000012511698423743266928729471015874785745350153041959813093017424.58%2575478.99%21086212351.15%1090209452.05%602125048.16%186713021832554980492
3178382317000024920445392111700001289830391712100000121106159324944369214749382015464815115540154846468613152917124.40%2925282.19%21082208052.02%1053213249.39%570118048.31%188613231825559967487
32401316110000118113520677000052502207940000666333711822033822522937081627825628208152413026541733017.34%1382978.99%1498112444.31%521111046.94%28561646.27%947649940296511259
Total Regular Season3521551277000001090995951768956310000557476811766671390000533519143801090197530658173973633300718123412405243506992204426945724133030923.23%113824878.21%74843949651.00%4750945750.23%2672553348.29%840058548288252744302231

Tigers 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
1Bob Whitlock133912-407272910.34%228922.28044500000054.0200.8300
2Bill Speer6268-3121811540.00%210417.3611230000000.00%01.5400
3Pierre Bouchard13268235237540.00%320115.5400010000100.00%00.7900
4Don Marshall6347-30081618.75%111819.80134100012056.9101.1800
5Bart Crashley6257-300141020.00%714524.3012360000000.00%00.9600

Tigers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Alexander Sidelnikov83500.8672.8149100231730010.00%0
2Chris Worthy62300.8154.1434820241300000.00%0