Thunderbirds

GP: 82 | W: 18 | L: 58 | OTL: 6 | P: 42
GF: 165 | GA: 303 | PP%: 14.97% | PK%: 72.37%
GM : Alain Lauzon | Morale : 8 | Team Overall : 44
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Rob Flick (R)X99.005943674976618048464951484356443919510
2Branden Troock (R)X96.004729785176646849425450474351424219510
3David Broll (R)X95.007576424879667746425048434251424228500
4Conor Garland (R)X97.005429734955657850465048454245417435490
5Rocco Carzo (R)X99.004925793374598134534745474159443826460
6Roman Cervenka (R)X100.004040404040404040404040404040404020400
7Guillaume Latendresse (R)X100.004040404040404040404040404040404014400
8Daniel Carcillo (R)X100.004040404040404040404040404040404014400
9Daniel Zaar (R)X100.004040404040404040404040404040404019400
10Daniel O'Regan (R)XX100.004040404040404040404040404040404020400
11Mike Vecchione (R)XX100.004040404040404040404040404040404038401
12Brett Lernout (R)X100.005436704980648147305047494246424617530
13Matt MacKenzie (R)X100.005834725266637150305255524356443912520
14Frankie Simonelli (R)X100.004524823270567135305047484153433926480
15Andrej Meszaros (R)X100.004040404040404040404040404040404019400
16John Erskine (R)X100.004040404040404040404040404040404019400
17Ryan Shea (R)X100.004040404040404040404040404040404020400
18Aaron Rome (R)X100.004040404040404040404040404040404020400
Scratches
1Nick Larson (R)X100.004040404040404040404040404040404019400
2James Sheppard (R)X100.004040404040404040404040404040404020400
3Garnet Exelby (R)X100.004040404040404040404040404040404018400
4Luc Snuggerud (R)X100.004040404040404040404040404040404020400
5Michael Downing (R)X100.004040404040404040404040404040404011400
6Frederic St. Denis (R)X96.34404040404040404040404040404040407400
TEAM AVERAGE99.26453950425147524240434342414441422043
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
1Eric Comrie (R)100.00597166665954545554585348447516560
2Parker Milner (R)100.00425050734241414141413959505229460
Scratches
1Nick Ellis (R)100.00404040404040404040404040404020400
2Kent Patterson (R)100.00404040404040404040404040404020400
TEAM AVERAGE100.0045504955454444444445434744522146
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Peter Horachek83606375646650CAN561650,000$


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 NamePOS GP 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
1Dan CatenacciPanthersRW59203151-17100501221880010.64%11138523.4918913900000660152.03%27100000.7400000413
2Branden TroockThunderbirds (FLA)RW82182745-376037161214018.41%35179621.91224191061011713441.27%45800010.5036000141
3Rob FlickThunderbirds (FLA)C77192241-28261067184209119.09%32168521.894483612200021383043.88%162700000.4926011112
4David BrollThunderbirds (FLA)LW82142135-28795281130188007.45%24178021.72011181290003950136.22%31200000.3900001052
5Matt MacKenzieThunderbirds (FLA)D75102232-39520179118111209.01%170174123.221343311001111241250.00%200000.3700000211
6Mike HalmoPanthersLW39141832-20421013490155009.03%588922.8154924620002361142.41%22400000.7212101323
7Frankie SimonelliThunderbirds (FLA)D8252631-201405960450111.11%158189623.12099121370110144100.00%000000.3300000002
8Ben HarpurPanthersD4852631-264351336358008.62%78111823.313032268000060100.00%000000.5500010123
9Rocco CarzoThunderbirds (FLA)C82111829-2710018184980111.22%42169520.67145141360000783147.33%196700000.3402000203
10Conor GarlandThunderbirds (FLA)RW79111324-25605894123228.94%14112014.1911211610001232139.56%9100100.4301000104
11Matej StranskyPanthersRW29101222-171404591130007.69%1775426.0113419600000540141.67%28800010.5802000112
12Daniel ZaarThunderbirds (FLA)RW775510-30405558470010.64%1196412.522026660000520030.33%21100000.2103000000
13Brett LernoutThunderbirds (FLA)D29189-19120372519035.26%4660420.84123734000033000.00%000000.3000000001
14Frederic St. DenisThunderbirds (FLA)D56358-133208219190015.79%4586515.46112465000043020.00%000000.1800000000
15Daniel O'ReganThunderbirds (FLA)C/RW72358-15201743200015.00%45167.17011218000040031.41%34700000.3100000000
16Daniel CarcilloThunderbirds (FLA)LW74347-23120402340017.50%97049.530112200000220025.53%4700000.2000000000
17Garnet ExelbyThunderbirds (FLA)D62167-3380761820005.00%5877112.440004420000950050.00%400000.1800000000
18Luc SnuggerudThunderbirds (FLA)D35336-6120481190033.33%253459.86101111000022000.00%000000.3500000001
19Jeremy MorinPanthersLW6325-120412240012.50%813722.852028150001220038.46%1300000.7311000000
20Guillaume LatendresseThunderbirds (FLA)LW49235-7235202533106.06%64699.581013350000300026.90%17100000.2100000000
21Aaron RomeThunderbirds (FLA)D62055-23280621117000.00%6275912.25011554000038000.00%000000.1300000000
22Andrej MeszarosThunderbirds (FLA)D33123-10200401517005.88%3352115.790115420001570050.00%200000.1200000000
23John ErskineThunderbirds (FLA)D43213-162003713100020.00%3555412.90112234000043000.00%200000.1100000000
24James SheppardThunderbirds (FLA)C44213-740918140014.29%72024.61101211000071039.26%13500000.3000000010
25Roman CervenkaThunderbirds (FLA)C32022-1540172318010.00%450115.660003160000110031.82%8800000.0800000000
26Michael DowningThunderbirds (FLA)D28112-410029370014.29%142418.6200027000024000.00%000000.1700000010
27Nick LarsonThunderbirds (FLA)C50011-1540163714000.00%54018.030110220001330032.83%26500000.0501000000
28Ryan SheaThunderbirds (FLA)D28011-188050811000.00%3438213.68000231000032000.00%000000.0500000000
29Mike VecchioneThunderbirds (FLA)LW/RW3000000001000.00%0134.460000200000000.00%000000.0000000000
Team Total or Average1517167291458-509537351700165918596118.98%9922482016.362948772791616123131469161442.10%652500120.37724123161928
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
1Eric ComrieThunderbirds (FLA)82185850.9063.6445444227629250440.65020820792
2Parker MilnerThunderbirds (FLA)110010.9342.6241300182710100.3333082000
Team Total or Average93185860.9083.5649584229431960540.609238282792


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 StatusType Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Aaron RomeThunderbirds (FLA)D341983-09-27 15:50:11Yes220 Lbs6 ft1NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
Andrej MeszarosThunderbirds (FLA)D321985-10-13 15:38:59Yes223 Lbs6 ft2NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
Branden TroockThunderbirds (FLA)RW241993-12-31Yes201 Lbs6 ft4NoNoNo3RFAPro & Farm550,000$550,000$0$0$No550,000$550,000$
Brett LernoutThunderbirds (FLA)D221995-12-31Yes213 Lbs6 ft4NoNoNo2ELCPro & Farm550,000$550,000$0$0$No550,000$NHL Link
Conor GarlandThunderbirds (FLA)RW211996-12-31 16:20:32Yes163 Lbs5 ft8NoNoNo3ELCPro & Farm680,000$680,000$0$0$No680,000$680,000$
Daniel CarcilloThunderbirds (FLA)LW331985-01-28 15:41:22Yes200 Lbs6 ft0NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
Daniel O'ReganThunderbirds (FLA)C/RW241994-01-30 15:52:33Yes185 Lbs5 ft10NoNoNo1RFAPro & Farm550,000$550,000$0$0$NoNHL Link
Daniel ZaarThunderbirds (FLA)RW241994-04-24 15:51:06Yes177 Lbs5 ft11NoNoNo1RFAPro & Farm550,000$550,000$0$0$NoNHL Link
David Broll (Out of Payroll)Thunderbirds (FLA)LW241993-12-31 14:33:01Yes216 Lbs6 ft2NoNoNo2RFAPro & Farm550,000$550,000$0$0$No550,000$
Eric ComrieThunderbirds (FLA)G221995-12-31 01:58:24Yes175 Lbs6 ft0NoNoNo2ELCPro & Farm550,000$550,000$0$0$No550,000$
Frankie SimonelliThunderbirds (FLA)D251992-12-31Yes200 Lbs5 ft10NoNoNo3RFAPro & Farm600,000$600,000$0$0$No600,000$600,000$
Frederic St. DenisThunderbirds (FLA)D321986-01-23 15:49:19Yes192 Lbs5 ft11NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
Garnet ExelbyThunderbirds (FLA)D361981-08-16 15:42:48Yes215 Lbs6 ft1NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
Guillaume LatendresseThunderbirds (FLA)LW311987-05-24 15:36:27Yes230 Lbs6 ft2NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
James SheppardThunderbirds (FLA)C301988-04-25 15:47:27Yes215 Lbs6 ft1NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
John ErskineThunderbirds (FLA)D371980-06-26 15:40:25Yes220 Lbs6 ft4NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
Kent PattersonThunderbirds (FLA)G281989-09-15 15:34:04Yes184 Lbs6 ft0NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
Luc SnuggerudThunderbirds (FLA)D221995-09-18 15:43:47Yes184 Lbs6 ft0NoNoNo1ELCPro & Farm550,000$550,000$0$0$NoNHL Link
Matt MacKenzieThunderbirds (FLA)D261991-12-31 07:40:00Yes182 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$925,000$0$0$No925,000$
Michael DowningThunderbirds (FLA)D231995-05-19 15:45:29Yes204 Lbs6 ft3NoNoNo1ELCPro & Farm550,000$550,000$0$0$NoNHL Link
Mike VecchioneThunderbirds (FLA)LW/RW251993-04-22 02:33:36Yes210 Lbs0 ft6NoNoNo1RFAPro & Farm550,000$550,000$0$0$No
Nick EllisThunderbirds (FLA)G241994-01-18 15:33:18Yes174 Lbs6 ft1NoNoNo1RFAPro & Farm550,000$550,000$0$0$NoNHL Link
Nick LarsonThunderbirds (FLA)C291989-01-16 15:46:27Yes175 Lbs5 ft10NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
Parker MilnerThunderbirds (FLA)G271990-12-31 05:45:13Yes197 Lbs6 ft1NoNoNo1RFAPro & Farm600,000$600,000$0$0$No
Rob FlickThunderbirds (FLA)C261991-12-31Yes208 Lbs6 ft2NoNoNo2RFAPro & Farm600,000$600,000$0$0$No600,000$
Rocco CarzoThunderbirds (FLA)C271990-12-31Yes203 Lbs6 ft1NoNoNo1RFAPro & Farm600,000$600,000$0$0$No
Roman CervenkaThunderbirds (FLA)C321985-12-10 15:35:14Yes201 Lbs5 ft11NoNoNo1UFAPro & Farm550,000$550,000$0$0$NoNHL Link
Ryan SheaThunderbirds (FLA)D211997-02-11 15:48:23Yes177 Lbs6 ft1NoNoNo1ELCPro & Farm550,000$550,000$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2827.18198 Lbs5 ft101.39575,179$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1David BrollRob FlickRoman Cervenka40122
2Conor GarlandRocco CarzoBranden Troock30122
3Conor GarlandBranden TroockDaniel Zaar20122
4Branden TroockRocco CarzoConor Garland10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt MacKenzieFrankie Simonelli40122
2Aaron RomeBrett Lernout30122
3Aaron RomeFrankie Simonelli20122
4Aaron RomeFrankie Simonelli10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1David BrollRob FlickConor Garland60122
2Daniel ZaarRocco CarzoBranden Troock40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrej MeszarosFrankie Simonelli60122
2Aaron RomeMatt MacKenzie40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Daniel ZaarConor Garland60122
2Branden TroockRocco Carzo40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt MacKenzieFrankie Simonelli60122
2Aaron RomeAndrej Meszaros40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Conor Garland60122Matt MacKenzieFrankie Simonelli60122
2Branden Troock40122Andrej MeszarosAaron Rome40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Daniel ZaarConor Garland60122
2Branden TroockRocco Carzo40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrej MeszarosFrankie Simonelli60122
2Matt MacKenzieAaron Rome40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Rob FlickConor GarlandBranden TroockAndrej MeszarosFrankie Simonelli
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Rob FlickConor GarlandBranden TroockAndrej MeszarosFrankie Simonelli
Extra Forwards
Normal PowerPlayPenalty Kill
Daniel Zaar, Branden Troock, Conor GarlandDaniel Zaar, Branden TroockBranden Troock
Extra Defensemen
Normal PowerPlayPenalty Kill
Andrej Meszaros, Aaron Rome, Frankie SimonelliFrankie SimonelliFrankie Simonelli, Aaron Rome
Penalty Shots
Daniel Zaar, Conor Garland, Branden Troock, Rob Flick, Rocco Carzo
Goalie
#1 : Eric Comrie, #2 : Parker Milner


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
1Admirals210000013301000000112-11100000021130.750358005658478495556416084165184396116.67%20100.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
2Americans40400000522-1720200000210-820200000312-900.00059140056584788955564160841151431474900.00%6516.67%0888206143.09%1282314140.82%557127043.86%150696323866531071482
3Barracuda2020000036-31010000023-11010000013-200.000358005658478515556416084165258375240.00%40100.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
4Bears3030000028-62020000026-41010000002-200.0002462056584785755564160841106361072700.00%40100.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
5Bruins41300000919-102110000067-120200000312-920.25091423005658478635556416084117660208714321.43%10280.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
6Checkers311000019901010000034-12100000165130.500916250156584788455564160841105354760800.00%10280.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
7Comets2020000015-41010000013-21010000002-200.0001120056584784455564160841652183711100.00%4175.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
8Condors2020000048-41010000014-31010000034-100.000461000565847833555641608418619634300.00%3233.33%0888206143.09%1282314140.82%557127043.86%150696323866531071482
9Crunch4210000118153211000009812100000197250.62518314900565847812755564160841173453710110440.00%16475.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
10Devils30300000315-121010000005-520200000310-700.000369105658478695556416084195371449500.00%60100.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
11Griffins431000001284220000007252110000056-160.7501222340156584789455564160841131322074600.00%10370.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
12Gulls2020000059-41010000034-11010000025-300.000581300565847851555641608417317624600.00%30100.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
13Heat2010010027-51000010012-11010000015-410.2502460056584784455564160841821812464250.00%6350.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
14IceHogs20200000310-71010000023-11010000017-600.00035800565847844555641608411142616385120.00%8187.50%0888206143.09%1282314140.82%557127043.86%150696323866531071482
15Marlies40400000515-102020000028-62020000037-400.00059140056584787955564160841163622671900.00%12558.33%0888206143.09%1282314140.82%557127043.86%150696323866531071482
16Monsters31100001121111010000034-12100000197230.50012233500565847882555641608411093822678337.50%11463.64%0888206143.09%1282314140.82%557127043.86%150696323866531071482
17Moose21100000660110000003121010000035-220.500611170056584784755564160841732310364250.00%4250.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
18Penguins3120000059-42110000045-11010000014-320.333591400565847871555641608411134124731119.09%9455.56%0888206143.09%1282314140.82%557127043.86%150696323866531071482
19Phantoms30200010811-32010001057-21010000034-120.33381422005658478685556416084112339246510220.00%12283.33%1888206143.09%1282314140.82%557127043.86%150696323866531071482
20Rampage21000001550110000003211000000123-130.750591400565847852555641608418023856600.00%3166.67%0888206143.09%1282314140.82%557127043.86%150696323866531071482
21Reign2010100045-11010000002-21000100043120.50048120056584785955564160841531416344125.00%6183.33%0888206143.09%1282314140.82%557127043.86%150696323866531071482
22Roadrunners2020000007-71010000004-41010000003-300.000000005658478405556416084182291929800.00%7271.43%0888206143.09%1282314140.82%557127043.86%150696323866531071482
23Rocket41300000713-62110000056-12020000027-520.2507132000565847869555641608411576037907228.57%16568.75%0888206143.09%1282314140.82%557127043.86%150696323866531071482
24Senators40400000619-1320200000311-82020000038-500.000611170056584787755564160841197613481700.00%16568.75%0888206143.09%1282314140.82%557127043.86%150696323866531071482
25Silver Knights201000106601010000023-11000001043120.500681400565847853555641608417026165011100.00%8187.50%0888206143.09%1282314140.82%557127043.86%150696323866531071482
26Sound Tigers30300000315-121010000016-52020000029-700.00035800565847836555641608411232518421000.00%7185.71%0888206143.09%1282314140.82%557127043.86%150696323866531071482
27Stars2020000028-61010000014-31010000014-300.00024600565847834555641608418727837200.00%40100.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
Total82145801135165303-138419280012181142-61415300101484161-77420.256165288453425658478182155564160841320099053516771872814.97%2286372.37%1888206143.09%1282314140.82%557127043.86%150696323866531071482
29Wild2020000038-51010000014-31010000024-200.000369105658478395556416084180212360200.00%7271.43%0888206143.09%1282314140.82%557127043.86%150696323866531071482
30Wolf Pack312000001016-621100000510-51010000056-120.33310162600565847871555641608411444616687228.57%8450.00%0888206143.09%1282314140.82%557127043.86%150696323866531071482
31Wolves2010001045-1100000103211010000013-220.5004610005658478455556416084159231246200.00%6183.33%0888206143.09%1282314140.82%557127043.86%150696323866531071482
_Since Last GM Reset82145801135165303-138419280012181142-61415300101484161-77420.256165288453425658478182155564160841320099053516771872814.97%2286372.37%1888206143.09%1282314140.82%557127043.86%150696323866531071482
_Vs Conference466380001182189-10724518000104596-5122120000013793-56150.163821422243056584789605556416084118686053019391151513.04%1334069.92%1888206143.09%1282314140.82%557127043.86%150696323866531071482
_Vs Division24317000105294-421238000102347-241209000002947-1880.16752931453156584785385556416084191829717549666812.12%671774.63%1888206143.09%1282314140.82%557127043.86%150696323866531071482

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8242L216528845318213200990535167742
All Games
GPWLOTWOTL SOWSOLGFGA
8214581135165303
Home Games
GPWLOTWOTL SOWSOLGFGA
41928012181142
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41530101484161
Last 10 Games
WLOTWOTL SOWSOL
180001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1872814.97%2286372.37%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
555641608415658478
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
888206143.09%1282314140.82%557127043.86%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
150696323866531071482


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
3 - 2017-11-0714Thunderbirds5Crunch2WBoxScore
4 - 2017-11-0820Crunch3Thunderbirds5WBoxScore
9 - 2017-11-1352Wolves2Thunderbirds3WXXBoxScore
11 - 2017-11-1568Thunderbirds1Penguins4LBoxScore
14 - 2017-11-1882Thunderbirds3Phantoms4LBoxScore
17 - 2017-11-21107Penguins2Thunderbirds3WBoxScore
18 - 2017-11-22117Thunderbirds0Bears2LBoxScore
21 - 2017-11-25130Thunderbirds1Rocket4LBoxScore
23 - 2017-11-27145Gulls4Thunderbirds3LBoxScore
25 - 2017-11-29160Griffins2Thunderbirds5WBoxScore
27 - 2017-12-01174Crunch5Thunderbirds4LBoxScore
30 - 2017-12-04190Monsters4Thunderbirds3LBoxScore
32 - 2017-12-06205Wolf Pack2Thunderbirds3WBoxScore
35 - 2017-12-09227Thunderbirds4Checkers5LXXBoxScore
38 - 2017-12-12243Thunderbirds2Americans5LBoxScore
39 - 2017-12-13254Thunderbirds1Devils6LBoxScore
42 - 2017-12-16269Stars4Thunderbirds1LBoxScore
44 - 2017-12-18289Thunderbirds1Barracuda3LBoxScore
46 - 2017-12-20296Thunderbirds4Reign3WXBoxScore
47 - 2017-12-21309Thunderbirds2Gulls5LBoxScore
50 - 2017-12-24321Marlies2Thunderbirds1LBoxScore
53 - 2017-12-27352IceHogs3Thunderbirds2LBoxScore
55 - 2017-12-29362Thunderbirds2Devils4LBoxScore
56 - 2017-12-30369Thunderbirds5Wolf Pack6LBoxScore
59 - 2018-01-02392Barracuda3Thunderbirds2LBoxScore
60 - 2018-01-03405Thunderbirds2Checkers0WBoxScore
62 - 2018-01-05413Sound Tigers6Thunderbirds1LBoxScore
65 - 2018-01-08434Moose1Thunderbirds3WBoxScore
67 - 2018-01-10448Rampage2Thunderbirds3WBoxScore
69 - 2018-01-12463Thunderbirds1Griffins3LBoxScore
70 - 2018-01-13473Thunderbirds1IceHogs7LBoxScore
72 - 2018-01-15486Thunderbirds2Rampage3LXXBoxScore
75 - 2018-01-18510Thunderbirds4Silver Knights3WXXBoxScore
77 - 2018-01-20523Thunderbirds0Roadrunners3LBoxScore
80 - 2018-01-23540Wild4Thunderbirds1LBoxScore
81 - 2018-01-24547Senators5Thunderbirds2LBoxScore
86 - 2018-01-29571Phantoms4Thunderbirds1LBoxScore
88 - 2018-01-31588Rocket5Thunderbirds3LBoxScore
91 - 2018-02-03608Thunderbirds2Wild4LBoxScore
93 - 2018-02-05616Thunderbirds2Bruins8LBoxScore
94 - 2018-02-06630Thunderbirds4Griffins3WBoxScore
96 - 2018-02-08647Thunderbirds5Monsters6LXXBoxScore
98 - 2018-02-10657Thunderbirds1Wolves3LBoxScore
101 - 2018-02-13666Heat2Thunderbirds1LXBoxScore
108 - 2018-02-20705Silver Knights3Thunderbirds2LBoxScore
109 - 2018-02-21716Thunderbirds2Admirals1WBoxScore
112 - 2018-02-24738Thunderbirds1Stars4LBoxScore
114 - 2018-02-26751Bears3Thunderbirds1LBoxScore
119 - 2018-03-03763Thunderbirds1Sound Tigers3LBoxScore
121 - 2018-03-05777Thunderbirds1Americans7LBoxScore
123 - 2018-03-07797Griffins0Thunderbirds2WBoxScore
126 - 2018-03-10818Comets3Thunderbirds1LBoxScore
129 - 2018-03-13838Reign2Thunderbirds0LBoxScore
132 - 2018-03-16862Thunderbirds3Condors4LBoxScore
134 - 2018-03-18878Thunderbirds0Comets2LBoxScore
137 - 2018-03-21904Thunderbirds1Heat5LBoxScore
138 - 2018-03-22911Thunderbirds3Moose5LBoxScore
140 - 2018-03-24918Thunderbirds1Marlies3LBoxScore
142 - 2018-03-26936Bears3Thunderbirds1LBoxScore
144 - 2018-03-28952Penguins3Thunderbirds1LBoxScore
147 - 2018-03-31972Marlies6Thunderbirds1LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2018-04-02985Devils5Thunderbirds0LBoxScore
150 - 2018-04-03993Americans5Thunderbirds0LBoxScore
152 - 2018-04-051009Phantoms3Thunderbirds4WXXBoxScore
154 - 2018-04-071024Thunderbirds4Crunch5LXXBoxScore
156 - 2018-04-091037Rocket1Thunderbirds2WBoxScore
158 - 2018-04-111056Wolf Pack8Thunderbirds2LBoxScore
160 - 2018-04-131067Senators6Thunderbirds1LBoxScore
163 - 2018-04-161087Bruins2Thunderbirds4WBoxScore
165 - 2018-04-181099Condors4Thunderbirds1LBoxScore
167 - 2018-04-201118Thunderbirds1Rocket3LBoxScore
168 - 2018-04-211125Thunderbirds1Senators4LBoxScore
170 - 2018-04-231139Thunderbirds4Monsters1WBoxScore
172 - 2018-04-251156Roadrunners4Thunderbirds0LBoxScore
174 - 2018-04-271169Thunderbirds1Sound Tigers6LBoxScore
176 - 2018-04-291186Thunderbirds2Marlies4LBoxScore
177 - 2018-04-301193Thunderbirds2Senators4LBoxScore
179 - 2018-05-021206Thunderbirds1Bruins4LBoxScore
181 - 2018-05-041225Checkers4Thunderbirds3LBoxScore
182 - 2018-05-051233Admirals2Thunderbirds1LXXBoxScore
184 - 2018-05-071247Bruins5Thunderbirds2LBoxScore
186 - 2018-05-091262Americans5Thunderbirds2LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity30002000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0.00% 0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,241,346$ 1,610,500$ 1,610,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,659$ 1,591,326$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 12,153$ 0$




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
LHS0580175303223199354-1554092702011114178-64408260121285176-913419933853706586571102063632727684512420894111120021994422.11%2116867.77%4687136250.44%582109153.35%625126549.41%152966617709511803934
LHS06803831030443112763540201601012142117254018150203216915910763114978080268126110112610784911895562440812176622292254419.56%2706675.56%10902173352.05%852170749.91%716141450.64%1580769361919251689820
LHS07761934013244163203-40388190702296115-19381115062226788-21381632574200629585919133431553842977217271766616341483120.95%1913581.68%5482104746.04%721153247.06%46697048.04%127545415358181806925
LHS0876174703225158250-92386240202479134-553811230120179116-37341582534112133606071656436597594482401836134218281844122.28%2496374.70%6632132047.88%834178046.85%46294748.79%131350815778111714869
LHS0980274006223225266-4140132103111117139-2240141903112108127-195422536859306548578102458734888816352550860101720401864423.66%2596774.13%6789167147.22%886178849.55%561112150.04%154273816098211678824
LHS1080174209363174254-80408210533084130-46409210403390124-34341742704444329577318176340966466355250979890214841865026.88%1945074.23%3635136146.66%820176846.38%450101944.16%137753616248511850945
LHS1180204206336162225-634010210222386108-224010210411376117-41401622594212432507118160939152764981241880553116651905931.05%1795270.95%4668129951.42%867169251.24%46290750.94%137250616248611862968
LHS12763124036662412383381811013231211081338131302343120130-106224138762822608389232552794898820101264082646919071826032.97%2115972.04%6825163050.61%842166950.45%513104749.00%147871215507781605800
LHS13802133011456244276-3240121407223125130-54091904233119146-27422443996433358848622247076787879173273086857019121966332.14%2547869.29%1799165648.25%900187548.00%545113847.89%153772016198201715852
LHS14802239010324220241-2140121904203116127-1140102006121104114-104422035657630459073142431655927812642741916115121412004824.00%2707273.33%4818169048.40%935192748.52%518108047.96%152371116488221680830
LHS1580164703554178273-95407220342295138-43409250013283135-52321782844624241636613176545360766477283388878917161603723.13%2476474.09%10613132846.16%908194246.76%41998142.71%138755516958471782908
LHS1676204802123165243-783810250101188123-353810230111277120-4340165303468346445525193766563862326260575269017382063416.50%3126977.88%11046222646.99%1221267745.61%566118447.80%165410841954592982479
LHS1780155301065194310-1164010250003293143-504052801033101167-6630194333527036859608218674968471968299186757617171752011.43%2565777.73%31064235645.16%1264291443.38%590132444.56%1630107621826191042481
LHS187566301302157368-211372330100178185-107384300030179183-10412157275432105057492195163667662717292581156415501862815.05%2477470.04%2978219544.56%1039235544.12%604128047.19%15009782043579977451
1982145801135165303-138419280012181142-61415300101484161-7742165288453425658478182155564160841320099053516771872814.97%2286372.37%1888206143.09%1282314140.82%557127043.86%150696323866531071482
Total Regular Season118130065407537526329564080-112459015432603918242915152017-50259114632803619283414412063-622614295648677823284474510401044188306068975108011039487039575126401267927240281063122.46%357893773.81%66118262493547.43%139532985846.73%80541694747.52%222111098328441127552326411574
Playoff
LHS12624000001419-53030000048-4321000001011-141423370038301835474550213545514215746.67%15473.33%06814048.57%6913152.67%459746.39%111521266112260
LHS131266000003442-8633000001923-4633000001519-4123458921081016042313014914404871337524134926.47%321165.63%114629549.49%13931344.41%8317846.63%227114264117227116
Total Playoff18810000004861-13936000002331-8954000002530-51648811291011181906061842231990700187130383491632.65%471568.09%121443549.20%20844446.85%12827546.55%338166391178349177