Out of Date Version of the STHS! Please update your version!
Login

Griffins
GP: 80 | W: 38 | L: 31 | OTL: 11 | P: 87
GF: 318 | GA: 328 | PP%: 19.39% | PK%: 76.77%
GM : Eric Poulin | Morale : 32 | Team Overall : 65
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Griffins
38-31-11, 87pts
1
FINAL
4 Rocket
38-33-9, 85pts
Team Stats
W1StreakW2
21-14-5Home Record21-15-4
17-17-6Away Record17-18-5
4-5-1Last 10 Games6-4-0
3.98Goals Per Game4.46
4.10Goals Against Per Game4.43
19.39%Power Play Percentage20.70%
76.77%Penalty Kill Percentage75.00%
Griffins
38-31-11, 87pts
3
FINAL
2 Condors
44-26-10, 98pts
Team Stats
W1StreakL1
21-14-5Home Record21-13-6
17-17-6Away Record23-13-4
4-5-1Last 10 Games8-1-1
3.98Goals Per Game4.00
4.10Goals Against Per Game3.83
19.39%Power Play Percentage18.85%
76.77%Penalty Kill Percentage82.56%
Team Leaders
Goals
Riley Armstrong
40
Assists
Tyler Bertuzzi
57
Points
Riley Armstrong
95
Plus/Minus
Ryan Lindgren
18
Wins
Ilya Samsonov
32
Save Percentage
Adam Werner
0.883

Team Stats
Goals For
318
3.98 GFG
Shots For
2577
32.21 Avg
Power Play Percentage
19.4%
57 GF
Offensive Zone Start
36.1%
Goals Against
328
4.10 GAA
Shots Against
2590
32.38 Avg
Penalty Kill Percentage
76.8%%
82 GA
Defensive Zone Start
37.0%
Team Info

General ManagerEric Poulin
CoachKirk Muller
DivisionThayer-Tutt
ConferenceRobert-Lebel
CaptainRiley Armstrong
Assistant #1Joe Morrow
Assistant #2


Arena Info

Capacity3,000
Attendance2,780
Season Tickets300


Roster Info

Pro Team35
Farm Team21
Contract Limit56 / 250
Prospects0


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
1Tyler Bertuzzi (R)X100.007935777381668777687676736759495146730221950,000$
2Danny KristoX100.007135747571757476707572677661523158710271950,000$
3Lucas Lessio (R)X100.006231797774767375637183656957503952710241950,000$
4Riley Armstrong (C)X100.007738677269586484697369706181831452710331975,000$
5Brendan WoodsX100.006327787579856966737670746759543552700251900,000$
6Roope Hintz (R)X100.007846757673697469677675677352456234700213975,000$
7Martin Frk (R)X100.006626797369777179747672576151514130690242900,000$
8Sonny Milano (R)X100.006330767963756380687269597848445742680212800,000$
9Vladislav NamestnikovX100.006830777076717273687371556956573530680251800,000$
10Tanner KeroX100.006534697266697171586573486855553123650251500,000$
11Troy Terry (R)X100.006132797557655475626364627242436052640204600,000$
12Lias Andersson (R)X100.005637806267756460576959635742437319610192500,000$
13Joe Morrow (A)X100.007125767871707676498065745872573751720252950,000$
14Dmitri OrlovX100.006924797868748684537765706065503352710261950,000$
15Chris Bigras (R)X100.006825867368777267537351786058464925700221900,000$
16Ian McCoshen (R)X100.006942777772696566607165726348464944690222800,000$
17Ryan Pulock (R)X100.007026856860737966497276727057505241690231900,000$
18Ryan Lindgren (R)X100.006534836857655648355646724441417040610191500,000$
Scratches
1Greg McKeggX100.006136777562636471616870586648493013650251650,000$
2Nico Hischier (R)X96.125835806652696671798464425840407830640182500,000$
3Tomas Hyka (R)X100.005833726360606062778163535746472919620241450,000$
4Michael Bunting (R)X100.007042616478537165565970525243434519610211500,000$
5Klim Kostin (R)X100.005823745270616753536485406740408519600182500,000$
6Morgan Barron (R)X100.007249656084448066436366514641416719600192500,000$
7Cody Glass (R)X100.005328715748606562717663445040408219590182500,000$
8Jack Ramsey (R)X100.004839796062766453626761535143434319590212500,000$
9Jack Studnicka (R)X100.006537735554565466585466506540407820580182500,000$
10Nick Swaney (R)X100.004836706065635961495268366245444820560202500,000$
11Konrad AbeltshauserX100.006349727070745956386855694947472919650251500,000$
12Sebastian Ahaut (R)X100.005335826956626979447352674947466018640212500,000$
13Conor Timmins (R)X100.005940676355605557365652614643435520580192500,000$
TEAM AVERAGE99.87643475696667686859706660615148503265
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
1Ilya Samsonov100.00836674899069627279658654446636740204950,000$
2Adam Werner (R)100.00755661717854536667567742427333630201500,000$
Scratches
1Marcus Hogberg100.00617559757667727971655647453719690232600,000$
2Philippe Desrosiers100.00704766777360536364537444444720620223875,000$
TEAM AVERAGE100.0072616578796360707060734744562767
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kirk Muller79747283346760CAN471850,000$


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
1Riley ArmstrongGriffins (Det)C804055951211201701422447313816.39%33149518.69712192621811281614151.94%15964028001.2736000475
2Tyler BertuzziGriffins (Det)RW6234579112555100652296612014.85%25126320.38101525351790111482242.86%1054331001.4401010545
3Danny KristoGriffins (Det)RW723144755500146912166111914.35%39140219.481210223220220281815254.00%2504225031.0718000651
4Sonny MilanoGriffins (Det)LW8030376714440111772346311312.82%24131116.39281024221000091346.38%694330011.0225000614
5Roope HintzGriffins (Det)LW76263965-2554013578211549812.32%28132217.4081321212290002656147.29%1294218000.9826000133
6Lucas LessioGriffins (Det)LW8025335816280101712138012311.74%25127815.9966121718801151284245.16%624324000.9104000511
7Alexandre GrenierRed WingsRW2820325282005243118356516.95%1558921.04591413800110372252.83%1062313001.7714000521
8Brendan WoodsGriffins (Det)LW80162339436096119112306614.29%33133016.63167513621392841150.31%3182824000.5922000220
9Dmitri OrlovGriffins (Det)D8010283894008510488504511.36%86155619.4662811193000145210.00%02338000.4901000021
10Joe MorrowGriffins (Det)D7933437-1748011312311654522.59%106183123.18268182770114190000.00%03152000.4000000002
11Nico HischierGriffins (Det)C6392433-9240677881376011.11%1897015.4105581820000460153.53%566156000.6800000102
12Martin FrkGriffins (Det)RW6414193394756560132447310.61%2092014.380228900000511256.25%802517010.7200000224
13Troy TerryGriffins (Det)RW80161329160496291296117.58%187609.5100007000003047.06%17199010.7603000121
14Chris BigrasGriffins (Det)D7551924-12160791377129257.04%101162321.640110170002227010.00%11465000.3000000110
15Ian McCoshenGriffins (Det)D78318211654069967624293.95%83137217.601012560001182000.00%0745000.3100000011
16Ryan PulockGriffins (Det)D795162116140851127829446.41%105152019.251011230111233100.00%02440000.2801000100
17Vladislav NamestnikovGriffins (Det)C436814-1618049415194411.76%943810.19000070000201054.50%222119000.6400000011
18Ryan LindgrenGriffins (Det)D77210121810042775022144.00%65104613.58000000000157000.00%0124000.2300000000
19Tanner KeroGriffins (Det)LW39639-2140311138153115.79%12787.1300000000000120.00%590000.6500000100
20Klim KostinGriffins (Det)LW371452140311821474.76%43589.69000090001310040.00%10112000.2800000000
21Lias AnderssonGriffins (Det)C28235-14016211631012.50%82268.09000060000110050.00%8213000.4400000000
22Greg McKeggGriffins (Det)C1223522076168712.50%51129.38000000002150036.84%3841000.8900000010
23Jack StudnickaGriffins (Det)RW1012324014583212.50%3989.82000010000120033.33%1500000.6100000000
24Cody GlassGriffins (Det)C47112-12081117445.88%22074.4100001000031052.27%4414000.1900000000
25Sebastian AhautGriffins (Det)D2211250061882212.50%102109.560000000005000.00%016000.1900000000
26Morgan BarronGriffins (Det)LW2000000000000.00%000.060000000000000.00%000000.00%00000000
27Konrad AbeltshauserGriffins (Det)D2000120111100.00%02211.360000000000000.00%001000.00%00000000
28Michael BuntingGriffins (Det)LW2000000000000.00%021.180000000001000.00%000000.00%00000000
Team Total or Average14773095268356971810172816672536829135212.18%8662355115.95619515622123335712452155342051.44%3715501515060.711141010413532
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
1Ilya SamsonovGriffins (Det)66322460.8803.8736904023819779481010.733306411114
2Adam WernerGriffins (Det)238530.8834.0210594071606359310.333121347011
3Marcus HogbergGriffins (Det)81410.8335.86297002917489000.00%0517000
Team Total or Average974133100.8774.0250468033827571396132428275125


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam WernerGriffins (Det)G201997-01-01Yes205 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$NoLink
Brendan WoodsGriffins (Det)LW251992-01-01No190 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLink
Chris BigrasGriffins (Det)D221995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLink
Cody GlassGriffins (Det)C181999-01-01Yes206 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Conor TimminsGriffins (Det)D191998-01-01Yes202 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Danny KristoGriffins (Det)RW271990-01-01No172 Lbs5 ft11NoNoNo1Pro & Farm950,000$0$0$No
Dmitri OrlovGriffins (Det)D261991-01-01No210 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$No
Greg McKeggGriffins (Det)C251992-01-01No191 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Ian McCoshenGriffins (Det)D221995-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm800,000$0$0$No900,000$Link
Ilya SamsonovGriffins (Det)G201997-01-01No208 Lbs6 ft3NoNoNo4Pro & Farm950,000$0$0$No1,700,000$2,500,000$3,500,000$Link
Jack RamseyGriffins (Det)RW211996-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Jack StudnickaGriffins (Det)RW181999-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Joe MorrowGriffins (Det)D251992-01-01No199 Lbs6 ft0NoNoNo2Pro & Farm950,000$0$0$No950,000$
Klim KostinGriffins (Det)LW181999-01-01Yes215 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Konrad AbeltshauserGriffins (Det)D251992-01-01No225 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Lias AnderssonGriffins (Det)C191998-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Lucas LessioGriffins (Det)LW241993-01-01Yes213 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$No
Marcus HogbergGriffins (Det)G231994-01-01No185 Lbs6 ft4NoNoNo2Pro & Farm600,000$0$0$No600,000$Link
Martin FrkGriffins (Det)RW241993-01-01Yes193 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$Link
Michael BuntingGriffins (Det)LW211996-01-01Yes197 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLink
Morgan BarronGriffins (Det)LW191998-01-01Yes220 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Nick SwaneyGriffins (Det)RW201997-01-01Yes175 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Nico HischierGriffins (Det)C181999-01-01Yes175 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Philippe DesrosiersGriffins (Det)G221995-01-01No185 Lbs6 ft1NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Link
Riley ArmstrongGriffins (Det)C331984-01-01No185 Lbs5 ft11NoNoNo1Pro & Farm975,000$0$0$No
Roope HintzGriffins (Det)LW211996-01-01Yes220 Lbs6 ft3NoNoNo3Pro & Farm975,000$0$0$No1,500,000$2,250,000$Link
Ryan LindgrenGriffins (Det)D191998-01-01Yes198 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLink
Ryan PulockGriffins (Det)D231994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLink
Sebastian AhautGriffins (Det)D211996-01-01Yes184 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Sonny MilanoGriffins (Det)LW211996-01-01Yes195 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No900,000$Link
Tanner KeroGriffins (Det)LW251992-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Tomas HykaGriffins (Det)RW241993-01-01Yes160 Lbs5 ft10NoNoNo1Pro & Farm450,000$0$0$NoLink
Troy TerryGriffins (Det)RW201997-01-01Yes180 Lbs6 ft0NoNoNo4Pro & Farm600,000$0$0$No700,000$800,000$900,000$Link
Tyler BertuzziGriffins (Det)RW221995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$NoLink
Vladislav NamestnikovGriffins (Det)C251992-01-01No180 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3522.14194 Lbs6 ft11.71695,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sonny MilanoRiley ArmstrongTyler Bertuzzi40122
2Roope HintzBrendan WoodsDanny Kristo30122
3Lucas LessioVladislav NamestnikovMartin Frk20122
4Sonny MilanoLias AnderssonTroy Terry10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe MorrowDmitri Orlov40122
2Chris BigrasRyan Pulock30122
3Ryan LindgrenIan McCoshen20122
4Ryan LindgrenIan McCoshen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lucas LessioRiley ArmstrongTyler Bertuzzi60122
2Roope HintzBrendan WoodsDanny Kristo40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe MorrowDmitri Orlov60122
2Chris BigrasRyan Pulock40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brendan WoodsLucas Lessio60122
2Riley ArmstrongDanny Kristo40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe MorrowIan McCoshen60122
2Chris BigrasRyan Pulock40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brendan Woods60122Joe MorrowIan McCoshen60122
2Riley Armstrong40122Chris BigrasRyan Pulock40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tyler BertuzziLucas Lessio60122
2Riley ArmstrongDanny Kristo40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe MorrowDmitri Orlov60122
2Chris BigrasRyan Pulock40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lucas LessioRiley ArmstrongTyler BertuzziJoe MorrowDmitri Orlov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lucas LessioRiley ArmstrongTyler BertuzziJoe MorrowDmitri Orlov
Extra Forwards
Normal PowerPlayPenalty Kill
Troy Terry, Tanner Kero, Lias AnderssonTroy Terry, Tanner KeroRoope Hintz
Extra Defensemen
Normal PowerPlayPenalty Kill
Dmitri Orlov, Ian McCoshen, Ryan LindgrenIan McCoshenIan McCoshen, Ryan Lindgren
Penalty Shots
Tyler Bertuzzi, Lucas Lessio, Riley Armstrong, Danny Kristo, Roope Hintz
Goalie
#1 : Ilya Samsonov, #2 : Adam Werner


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
1Admirals31100001912-31010000015-42100000187130.5009152400901141081389865855834671143034567228.57%17288.24%0899175451.25%954179753.09%676130251.92%173095816837501460734
2Barracuda751000103519163200001014774310000021129120.85735569100901141081322186585583467244899415129620.69%38878.95%0899175451.25%954179753.09%676130251.92%173095816837501460734
3Bears310010011413120001001101001100000043150.8331423370090114108131158658558346787391874800.00%9544.44%0899175451.25%954179753.09%676130251.92%173095816837501460734
4Comets22000000835110000005141100000032141.00081523009011410813898658558346755171235800.00%60100.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
5Condors62101002252413110100012102310000021314-180.66725406500901141081316486585583467198586412635617.14%32778.13%0899175451.25%954179753.09%676130251.92%173095816837501460734
6Crunch210000011082110000005231000000156-130.7501016260090114108135286585583467572612476350.00%60100.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
7Devils31100001141312100000111831010000035-230.5001425390090114108139986585583467117413477300.00%17382.35%1899175451.25%954179753.09%676130251.92%173095816837501460734
8Eagles220000001596110000009541100000064241.0001527420090114108136786585583467682022407114.29%11463.64%1899175451.25%954179753.09%676130251.92%173095816837501460734
9Heat30200100813-51010000013-220100100710-310.1678132100901141081390865855834679223206410110.00%10550.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
10Icehogs321000001112-12200000010641010000016-540.6671119300090114108139586585583467853322631100.00%11281.82%0899175451.25%954179753.09%676130251.92%173095816837501460734
11Little Stars2010001056-11010000024-21000001032120.50057121090114108135486585583467522018565120.00%90100.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
12Marlies413000001517-22110000097220200000610-420.2501523381090114108131268658558346712835307216425.00%15380.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
13Monsters321000001715211000000532211000001212040.6671728450090114108131058658558346711952166910330.00%8275.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
14Moose632000012120132000001981312000001212070.58321325300901141081319486585583467182487813626934.62%39587.18%1899175451.25%954179753.09%676130251.92%173095816837501460734
15Penguins210000101082110000006511000001043141.0001014240090114108137186585583467682414405120.00%7357.14%0899175451.25%954179753.09%676130251.92%173095816837501460734
16Phantoms3210000012111110000004222110000089-140.6671218300090114108131068658558346710939205314321.43%10280.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
17Punishers211000001011-11010000058-31100000053220.50010192900901141081368865855834676527104810330.00%5420.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
18Rampage201001001114-31010000068-21000010056-110.2501120310090114108137286585583467732622354125.00%11372.73%0899175451.25%954179753.09%676130251.92%173095816837501460734
19Reign422000001720-3312000001116-51100000064240.5001730470090114108131308658558346713840389816531.25%19668.42%0899175451.25%954179753.09%676130251.92%173095816837501460734
20Rocket605001001836-18302001001321-830300000515-1010.08318325010901141081318886585583467186685613123417.39%29968.97%0899175451.25%954179753.09%676130251.92%173095816837501460734
21Senators3200001014104210000108531100000065161.00014203400901141081310186585583467102361467400.00%7185.71%1899175451.25%954179753.09%676130251.92%173095816837501460734
22Sound Tigers20200000213-111010000016-51010000017-600.0002350090114108135686585583467651620369111.11%10370.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
23Thunderbirds312000008711010000012-12110000075220.333814220090114108138486585583467764530581317.69%15380.00%1899175451.25%954179753.09%676130251.92%173095816837501460734
24Wolfpack2020000036-31010000023-11010000013-200.00034700901141081374865855834676111103810110.00%5180.00%0899175451.25%954179753.09%676130251.92%173095816837501460734
25Wolves2010000168-21000000134-11010000034-110.250611170090114108136786585583467491614465120.00%7185.71%0899175451.25%954179753.09%676130251.92%173095816837501460734
Total80323102348318328-1040171402124163159440151700224155169-14870.544318524842309011410813257786585583467259087972217162945719.39%3538276.77%5899175451.25%954179753.09%676130251.92%173095816837501460734
_Since Last GM Reset80323102348318328-1040171402124163159440151700224155169-14870.544318524842309011410813257786585583467259087972217162945719.39%3538276.77%5899175451.25%954179753.09%676130251.92%173095816837501460734
_Vs Conference51222001224202209-725128011219793426101200103105116-11560.549202326528209011410813160986585583467169755148610862014321.39%2355277.87%2899175451.25%954179753.09%676130251.92%173095816837501460734
_Vs Division251090111399990125301111484621356000025153-2280.56099160259109011410813767865855834678102632925441132522.12%1382978.99%1899175451.25%954179753.09%676130251.92%173095816837501460734

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8087W131852484225772590879722171630
All Games
GPWLOTWOTL SOWSOLGFGA
8032312348318328
Home Games
GPWLOTWOTL SOWSOLGFGA
4017142124163159
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4015170224155169
Last 10 Games
WLOTWOTL SOWSOL
450001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2945719.39%3538276.77%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
865855834679011410813
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
899175451.25%954179753.09%676130251.92%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
173095816837501460734


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 - 2022-10-275Barracuda4Griffins5BWXXBoxScore
4 - 2022-10-3018Griffins6Barracuda4AWBoxScore
5 - 2022-10-3127Griffins4Condors5ALXXBoxScore
9 - 2022-11-0447Condors4Griffins2BLBoxScore
12 - 2022-11-0763Griffins3Moose4ALBoxScore
14 - 2022-11-0973Moose3Griffins2BLXXBoxScore
16 - 2022-11-1186Griffins7Admirals5AWBoxScore
18 - 2022-11-1395Rocket6Griffins4BLBoxScore
20 - 2022-11-15105Griffins3Rocket7ALBoxScore
22 - 2022-11-17121Devils3Griffins7BWBoxScore
24 - 2022-11-19133Griffins5Thunderbirds2AWBoxScore
25 - 2022-11-20134Griffins7Barracuda2AWBoxScore
29 - 2022-11-24153Griffins2Phantoms4ALBoxScore
30 - 2022-11-25156Reign5Griffins2BLBoxScore
33 - 2022-11-28175Griffins6Heat7ALXBoxScore
35 - 2022-11-30182Rocket6Griffins5BLXBoxScore
37 - 2022-12-02193Griffins5Moose7ALBoxScore
39 - 2022-12-04206Bears5Griffins6BWXBoxScore
44 - 2022-12-09229Barracuda1Griffins5BWBoxScore
46 - 2022-12-11238Griffins2Thunderbirds3ALBoxScore
49 - 2022-12-14257Little Stars4Griffins2BLBoxScore
52 - 2022-12-17269Griffins1Sound Tigers7ALBoxScore
54 - 2022-12-19281Penguins5Griffins6BWBoxScore
56 - 2022-12-21291Griffins5Marlies7ALBoxScore
60 - 2022-12-25306Wolfpack3Griffins2BLBoxScore
62 - 2022-12-27316Griffins6Reign4AWBoxScore
65 - 2022-12-30331Rocket9Griffins4BLBoxScore
67 - 2023-01-01345Griffins4Moose1AWBoxScore
69 - 2023-01-03356Thunderbirds2Griffins1BLBoxScore
73 - 2023-01-07377Crunch2Griffins5BWBoxScore
76 - 2023-01-10389Griffins3Little Stars2AWXXBoxScore
78 - 2023-01-12404Rampage8Griffins6BLBoxScore
83 - 2023-01-17426Griffins3Wolves4ALBoxScore
85 - 2023-01-19433Griffins5Punishers3AWBoxScore
86 - 2023-01-20440Phantoms2Griffins4BWBoxScore
89 - 2023-01-23458Griffins3Devils5ALBoxScore
90 - 2023-01-24463Comets1Griffins5BWBoxScore
93 - 2023-01-27482Monsters3Griffins5BWBoxScore
95 - 2023-01-29494Griffins4Bears3AWBoxScore
96 - 2023-01-30504Griffins4Penguins3AWXXBoxScore
99 - 2023-02-02514Admirals5Griffins1BLBoxScore
102 - 2023-02-05530Griffins1Admirals2ALXXBoxScore
104 - 2023-02-07539Bears5Griffins4BLXXBoxScore
107 - 2023-02-10559Condors5Griffins6BWXBoxScore
110 - 2023-02-13575Griffins5Rampage6ALXBoxScore
112 - 2023-02-15586Heat3Griffins1BLBoxScore
115 - 2023-02-18600Griffins1Icehogs6ALBoxScore
117 - 2023-02-20612Barracuda2Griffins4BWBoxScore
121 - 2023-02-24624Griffins5Crunch6ALXXBoxScore
123 - 2023-02-26639Devils5Griffins4BLXXBoxScore
127 - 2023-03-02658Griffins5Monsters4AWBoxScore
128 - 2023-03-03665Icehogs4Griffins6BWBoxScore
131 - 2023-03-06685Griffins1Marlies3ALBoxScore
133 - 2023-03-08692Eagles5Griffins9BWBoxScore
135 - 2023-03-10706Griffins6Eagles4AWBoxScore
137 - 2023-03-12716Senators2Griffins4BWBoxScore
141 - 2023-03-16739Condors1Griffins4BWBoxScore
144 - 2023-03-19753Griffins1Heat3ALBoxScore
146 - 2023-03-21763Griffins6Phantoms5AWBoxScore
148 - 2023-03-23770Punishers8Griffins5BLBoxScore
152 - 2023-03-27792Senators3Griffins4BWXXBoxScore
154 - 2023-03-29804Griffins1Wolfpack3ALBoxScore
157 - 2023-04-01817Wolves4Griffins3BLXXBoxScore
159 - 2023-04-03828Griffins6Senators5AWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
162 - 2023-04-06841Icehogs2Griffins4BWBoxScore
165 - 2023-04-09854Griffins2Barracuda4ALBoxScore
167 - 2023-04-11865Griffins3Comets2AWBoxScore
169 - 2023-04-13874Sound Tigers6Griffins1BLBoxScore
172 - 2023-04-16894Moose3Griffins4BWBoxScore
178 - 2023-04-22921Moose2Griffins3BWBoxScore
182 - 2023-04-26940Marlies4Griffins3BLBoxScore
185 - 2023-04-29957Griffins6Barracuda2AWBoxScore
188 - 2023-05-02968Marlies3Griffins6BWBoxScore
190 - 2023-05-04977Griffins1Rocket4ALBoxScore
191 - 2023-05-05982Griffins6Condors7ALXXBoxScore
195 - 2023-05-09996Reign4Griffins6BWBoxScore
196 - 2023-05-101003Griffins7Monsters8ALBoxScore
202 - 2023-05-161019Reign7Griffins3BLBoxScore
203 - 2023-05-171025Griffins1Rocket4ALBoxScore
204 - 2023-05-181035Griffins3Condors2AWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance73,96437,250
Attendance PCT92.46%93.13%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2780 - 92.68% 82,622$3,304,866$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,465,960$ 2,432,500$ 2,200,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,808$ 2,606,096$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 15,934$ 0$




Griffins 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

Griffins Goalies Stat Leaders (Regular Season)

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

Griffins 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

Griffins 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

Griffins Goalies Stat Leaders (Play-Off)

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