Login

Soldiers
GP: 9 | W: 4 | L: 5
GF: 20 | GA: 21 | PP%: 3.23% | PK%: 89.06%
GM : Louis-Philippe Fraser | Morale : 50 | Team Overall : N/A
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Sound Tigers
14-7-0, 28pts
3
FINAL
1 Soldiers
4-5-0, 8pts
Team Stats
L2StreakL4
7-4-0Home Record2-2-0
7-3-0Away Record2-3-0
6-2-2Last 10 Games4-5-0
2.52Goals Per Game2.22
1.86Goals Against Per Game2.33
11.27%Power Play Percentage3.23%
94.66%Penalty Kill Percentage89.06%
Sound Tigers
14-7-0, 28pts
3
FINAL
1 Soldiers
4-5-0, 8pts
Team Stats
L2StreakL4
7-4-0Home Record2-2-0
7-3-0Away Record2-3-0
6-2-2Last 10 Games4-5-0
2.52Goals Per Game2.22
1.86Goals Against Per Game2.33
11.27%Power Play Percentage3.23%
94.66%Penalty Kill Percentage89.06%
Team Leaders
Goals
Joseph Blandisi
3
Assists
Joseph Blandisi
5
Points
Joseph Blandisi
8
Plus/Minus
Adam Mascherin
6
Wins
Calvin Petersen
4
Save Percentage
Calvin Petersen
0.898

Team Stats
Goals For
20
2.22 GFG
Shots For
218
24.22 Avg
Power Play Percentage
3.2%
2 GF
Offensive Zone Start
42.5%
Goals Against
21
2.33 GAA
Shots Against
197
21.89 Avg
Penalty Kill Percentage
89.1%
7 GA
Defensive Zone Start
38.5%
Team Info

General ManagerLouis-Philippe Fraser
CoachJohn Hynes
DivisionDivision 4
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team31
Farm Team21
Contract Limit52 / 60
Prospects19


Team History

This Season4-5
History40-35-10 (0.471%)
Playoff Appearances0
Playoff Record (W-L)4-5
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
1Adam Mascherin0X100.00767384617264616050566064664444625000231880,000$
2Seth Jarvis (R)0XX100.006962866662595769806174637044446450001931,425,000$
3Dmitry Sokolov (R)0XX100.00837696637460545650456266554444625000231830,000$
4Yakov Trenin0XX100.00876186637557776246636070255252625000242863,333$
5Justin Kirkland0X100.00727075617066585750595062484545595000241925,000$
6Kieffer Bellows0X100.008259826971686062484970582546466050002311,106,666$
7Ty Ronning0X100.00706191626158595850535860674444605000231750,833$
8Joseph Blandisi0XX100.00725476736554556167616268625858635000262700,000$
9Joseph Veleno (R)0X100.007572847472645760755660645844446450002121,243,750$
10Anthony Richard (R)0X100.00645976625973685974506261625555635000243735,000$
11Eetu Tuulola0X100.00838287658165645450505366454444625000232925,000$
12Eeli Tolvanen0XX100.008057936768727869406371612548486350002223,115,000$
13K'Andre Miller (R)0X100.008346888081827468255050812549496250002131,275,000$
14Jacob Moverare (R)0X100.00827499627461635425534066384444595000223705,556$
15Cameron York (R)0X100.007063856863504860254956615344445650002031,308,333$
16Max Lajoie (R)0X100.00737275657263646125545363504444595000233780,000$
17Jake Bean0X100.006855876769727863256049617548486250002311,363,333$
18Kale Clague0X100.00685388716569746225574965254646585000231894,166$
Scratches
1Chris Wagner0XX100.008961827771618158565758842567696645003011,350,000$
2Cameron Hillis (R)0X100.00726296636258624556384658444444575000213910,000$
3Graeme Clarke (R)0X100.00716488606454536250576262594444605000203925,000$
4Cole Schwindt (R)0X100.00706972636955574950454758454444565000203925,000$
5Joel Kellman0X100.00715683776962646477646369644747655000271925,000$
6Maxim Sushko (R)0X100.00706780657169555549485760254444575000223879,167$
7Jack Dougherty0X100.00756988636966674825394062374949565000251902,000$
8Oskari Laaksonen (R)0X100.00726492616460625425534161394444565000213925,000$
9Vladislav Kolyachonok (R)0X100.00797199657154564725393962374444555000203910,833$
10Teemu Kivihalme0X100.00656761666765615425434957534444555000262925,000$
TEAM AVERAGE100.0075648566696363584553556447474760500
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
1Calvin Petersen100.0066788570666860676965754747665000262858,333$
2Jacob Ingham (R)100.0067546878706672767171304444625000213850,000$
Scratches
1Hunter Miska100.0060567065636355646160304444575000251725,000$
TEAM AVERAGE100.006463747166666269676545454562500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Hynes83808081666281USA4821,356,000$


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
1Joseph BlandisiSoldiers (VGK)C/LW93585407131782017.65%112113.53011631000011059.63%10900011.3100000100
2K'Andre MillerSoldiers (VGK)D9325-22202781981515.79%1321924.412021654000045010.00%000000.4600000011
3Adam MascherinSoldiers (VGK)LW9134611515362416.67%5899.96000000000000100.00%200000.8900100000
4Kieffer BellowsSoldiers (VGK)LW92242401361861011.11%012013.34000321000011040.00%500000.6700000010
5Max LajoieSoldiers (VGK)D903311402753220.00%319121.25000341000038000.00%000000.3100000001
6Yakov TreninSoldiers (VGK)C/LW91230402311206145.00%114115.690114330001200045.35%8600000.4200000000
7Joseph VelenoSoldiers (VGK)C9123-160815112129.09%113515.040001120000170059.79%9700000.4400000000
8Anthony RichardSoldiers (VGK)C91230600851520.00%1798.8001126000060060.32%6300000.7600000010
9Eeli TolvanenSoldiers (VGK)LW/RW9123240310214164.76%119521.680007460002560038.46%2600000.3100000000
10Seth JarvisSoldiers (VGK)C/RW9202-1202242031810.00%117519.530006460000320059.32%11800000.2300000010
11Chris WagnerSoldiers (VGK)LW/RW902211202023156180.00%217619.620116400000450063.64%11000000.2300000000
12Dmitry SokolovSoldiers (VGK)LW/RW9112-226105593211.11%19210.2700012000000085.71%700000.4300101000
13Jacob MoverareSoldiers (VGK)D60223401330000.00%19015.1600004000015000.00%000000.4400000001
14Cameron YorkSoldiers (VGK)D61122607243125.00%48714.660000800007100.00%000000.4500000001
15Ty RonningSoldiers (VGK)RW920222041131215.38%0667.3900023000021083.33%600000.6000000110
16Joel KellmanSoldiers (VGK)C3022220236030.00%05418.090001100000110061.67%6000000.7400000000
17Graeme ClarkeSoldiers (VGK)RW310150011103310.00%13210.980000000000000.00%100000.6100000001
18Jake BeanSoldiers (VGK)D9011-480814450.00%421924.43000351000047000.00%000000.0900000000
19Kale ClagueSoldiers (VGK)D90110602610440.00%820022.33000743000046000.00%000000.1000000000
20Justin KirklandSoldiers (VGK)LW9000-140521000.00%0586.450000190000190040.00%1000000.0000000000
21Eetu TuulolaSoldiers (VGK)RW9000080726040.00%09610.7600023400000000.00%400000.0000000000
Team Total or Average1712033532015515199152218661589.17%48264615.482467051300034174157.67%70400010.4000201255
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
1Calvin PetersenSoldiers (VGK)94500.8982.1755200201960110.000090100
Team Total or Average94500.8982.1755200201960110.000090100


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
Adam MascherinSoldiers (VGK)LW231998-06-05No205 Lbs5 ft10NoNoNo1Pro & Farm880,000$450,000$0$0$NoLink
Anthony RichardSoldiers (VGK)C241996-12-19Yes163 Lbs5 ft10NoNoNo3Pro & Farm735,000$735,000$0$0$No735,000$735,000$
Calvin PetersenSoldiers (VGK)G261994-10-19No185 Lbs6 ft1NoNoNo2Pro & Farm858,333$858,333$0$0$No858,333$Link
Cameron HillisSoldiers (VGK)C212000-06-24Yes171 Lbs5 ft10NoNoNo3Pro & Farm910,000$910,000$0$0$No910,000$910,000$
Cameron YorkSoldiers (VGK)D202001-01-05Yes174 Lbs5 ft11NoNoNo3Pro & Farm1,308,333$1,308,333$0$0$No1,308,333$1,308,333$
Chris WagnerSoldiers (VGK)LW/RW301991-05-26No198 Lbs6 ft0NoNoNo1Pro & Farm1,350,000$1,350,000$0$0$NoLink
Cole SchwindtSoldiers (VGK)RW202001-04-25Yes183 Lbs6 ft2NoNoNo3Pro & Farm925,000$870,000$0$0$No925,000$925,000$
Dmitry SokolovSoldiers (VGK)LW/RW231998-04-14Yes209 Lbs6 ft0NoNoNo1Pro & Farm830,000$450,000$0$0$NoLink
Eeli TolvanenSoldiers (VGK)LW/RW221999-04-22No191 Lbs5 ft10NoNoNo2Pro & Farm3,115,000$3,115,000$0$0$No3,115,000$Link
Eetu TuulolaSoldiers (VGK)RW231998-03-17No224 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Graeme ClarkeSoldiers (VGK)RW202001-04-24Yes174 Lbs6 ft0NoNoNo3Pro & Farm925,000$850,833$0$0$No925,000$925,000$
Hunter MiskaSoldiers (VGK)G251995-07-06No175 Lbs6 ft1NoNoNo1Pro & Farm725,000$725,000$0$0$NoLink
Jack DoughertySoldiers (VGK)D251996-05-25No186 Lbs6 ft1NoNoNo1Pro & Farm902,000$450,000$0$0$NoLink
Jacob InghamSoldiers (VGK)G212000-06-09Yes186 Lbs6 ft4NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$
Jacob MoverareSoldiers (VGK)D221998-08-31Yes198 Lbs6 ft3NoNoNo3Pro & Farm705,556$705,556$0$0$No705,556$705,556$
Jake BeanSoldiers (VGK)D231998-06-09No186 Lbs6 ft1NoNoNo1Pro & Farm1,363,333$450,000$0$0$NoLink
Joel KellmanSoldiers (VGK)C271994-05-25No192 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink
Joseph BlandisiSoldiers (VGK)C/LW261994-07-18No184 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link
Joseph VelenoSoldiers (VGK)C212000-01-13Yes198 Lbs6 ft1NoNoNo2Pro & Farm1,243,750$1,243,750$0$0$No1,243,750$Link
Justin KirklandSoldiers (VGK)LW241996-08-02No183 Lbs6 ft3NoNoNo1Pro & Farm925,000$450,000$0$0$NoLink
K'Andre MillerSoldiers (VGK)D212000-01-21Yes210 Lbs6 ft5NoNoNo3Pro & Farm1,275,000$1,275,000$0$0$No1,275,000$1,275,000$
Kale ClagueSoldiers (VGK)D231998-06-05No177 Lbs6 ft0NoNoNo1Pro & Farm894,166$450,000$0$0$NoLink
Kieffer BellowsSoldiers (VGK)LW231998-06-10No195 Lbs6 ft0NoNoNo1Pro & Farm1,106,666$450,000$0$0$NoLink
Max LajoieSoldiers (VGK)D231997-11-05Yes196 Lbs6 ft1NoNoNo3Pro & Farm780,000$710,000$0$0$No780,000$780,000$
Maxim SushkoSoldiers (VGK)RW221999-02-10Yes198 Lbs6 ft0NoNoNo3Pro & Farm879,167$879,167$0$0$No879,167$879,167$
Oskari LaaksonenSoldiers (VGK)D211999-07-02Yes165 Lbs6 ft2NoNoNo3Pro & Farm925,000$853,333$0$0$No925,000$925,000$
Seth JarvisSoldiers (VGK)C/RW192002-02-01Yes174 Lbs5 ft10NoNoNo3Pro & Farm1,425,000$1,425,000$0$0$No1,425,000$1,425,000$
Teemu KivihalmeSoldiers (VGK)D261995-06-14No181 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link
Ty RonningSoldiers (VGK)RW231997-10-20No172 Lbs5 ft9NoNoNo1Pro & Farm750,833$450,000$0$0$NoLink
Vladislav KolyachonokSoldiers (VGK)D202001-05-26Yes194 Lbs6 ft1NoNoNo3Pro & Farm910,833$910,833$0$0$No910,833$910,833$
Yakov TreninSoldiers (VGK)C/LW241997-01-13No201 Lbs6 ft2NoNoNo2Pro & Farm863,333$863,333$0$0$No863,333$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3122.94188 Lbs6 ft02.061,026,978$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joseph BlandisiSeth Jarvis35122
2Eeli TolvanenYakov TreninEetu Tuulola30122
3Kieffer BellowsJoseph VelenoDmitry Sokolov25122
4Adam MascherinAnthony RichardTy Ronning10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1K'Andre MillerJake Bean35122
2Kale ClagueMax Lajoie30122
3Cameron YorkJacob Moverare25122
4K'Andre MillerJake Bean10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Seth JarvisEeli Tolvanen60122
2Joseph BlandisiYakov TreninEetu Tuulola40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1K'Andre MillerJake Bean60122
2Kale ClagueMax Lajoie40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Eeli Tolvanen60122
2Seth JarvisYakov Trenin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1K'Andre MillerJake Bean60122
2Kale ClagueMax Lajoie40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122K'Andre MillerJake Bean60122
2Eeli Tolvanen40122Kale ClagueMax Lajoie40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Eeli Tolvanen60122
2Seth JarvisYakov Trenin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1K'Andre MillerJake Bean60122
2Kale ClagueMax Lajoie40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Seth JarvisEeli TolvanenK'Andre MillerJake Bean
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Seth JarvisEeli TolvanenK'Andre MillerJake Bean
Extra Forwards
Normal PowerPlayPenalty Kill
Justin Kirkland, Kieffer Bellows, Joseph VelenoJustin Kirkland, Kieffer BellowsJoseph Veleno
Extra Defensemen
Normal PowerPlayPenalty Kill
Cameron York, Jacob Moverare, Kale ClagueCameron YorkJacob Moverare, Kale Clague
Penalty Shots
, Eeli Tolvanen, Seth Jarvis, Yakov Trenin, Joseph Blandisi
Goalie
#1 : Calvin Petersen, #2 : Jacob Ingham


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
1IceHogs541000001486220000008263210000066080.800142438007562136657866911029941164124.88%36294.44%017329957.86%15627157.56%7713457.46%2361632056711157
2Sound Tigers40400000613-72020000026-42020000047-300.0006915107562826578669871961832100.00%28582.14%017329957.86%15627157.56%7713457.46%2361632056711157
Total945000002021-1422000001082523000001013-380.4442033531075622186578669197481551996223.23%64789.06%017329957.86%15627157.56%7713457.46%2361632056711157
_Since Last GM Reset945000002021-1422000001082523000001013-380.4442033531075622186578669197481551996223.23%64789.06%017329957.86%15627157.56%7713457.46%2361632056711157
_Vs Conference945000002021-1422000001082523000001013-380.4442033531075622186578669197481551996223.23%64789.06%017329957.86%15627157.56%7713457.46%2361632056711157
_Vs Division541000001486220000008263210000066080.800142438007562136657866911029941164124.88%36294.44%017329957.86%15627157.56%7713457.46%2361632056711157

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
98L42033532181974815519910
All Games
GPWLOTWOTL SOWSOLGFGA
94500002021
Home Games
GPWLOTWOTL SOWSOLGFGA
4220000108
Visitor Games
GPWLOTWOTL SOWSOLGFGA
52300001013
Last 10 Games
WLOTWOTL SOWSOL
450000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
6223.23%64789.06%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
65786697562
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
17329957.86%15627157.56%7713457.46%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2361632056711157


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 - 2022-03-166Soldiers2IceHogs1AWXBoxScore
2 - 2022-03-1714Soldiers1IceHogs3ALBoxScore
3 - 2022-03-1822IceHogs1Soldiers6BWBoxScore
4 - 2022-03-1930IceHogs1Soldiers2BWBoxScore
5 - 2022-03-2038Soldiers3IceHogs2AWXBoxScore
8 - 2022-03-2359Soldiers1Sound Tigers3ALBoxScore
9 - 2022-03-2463Soldiers3Sound Tigers4ALBoxScore
10 - 2022-03-2567Sound Tigers3Soldiers1BLBoxScore
11 - 2022-03-2671Sound Tigers3Soldiers1BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-4 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,183,630$ 2,751,346$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




Soldiers 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
1K'Andre Miller82184866411217412917210.47%104196323.941115261300113310.00%00.6700
2Eeli Tolvanen82293564177511013819215.10%16171520.921017275610194340.74%00.75312
3Joel Kellman782334576325816514715.65%14139817.93815234101134257.81%00.8228
4Seth Jarvis7724254912605810617014.12%11142118.46915246610146257.64%00.6937
5Kale Clague8273441-5729264878.05%76171820.9651015630002110.00%00.4800

Soldiers Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jacob Ingham48201960.8922.202730271009280400.69733
2Calvin Petersen39201510.8802.60216924947820000.60010

Soldiers 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
202182323503057213207641122003033103109-641201500024110981287213368581010835765161727564568568691740522131215754586413.97%5476687.93%31251237852.61%1158236748.92%629123151.10%1947131020016171042522
Total Regular Season82323503057213207641122003033103109-641201500024110981287213368581010835765161727564568568691740522131215754586413.97%5476687.93%31251237852.61%1158236748.92%629123151.10%1947131020016171042522
2021945000002021-1422000001082523000001013-382033531075622186578669197481551996223.23%64789.06%017329957.86%15627157.56%7713457.46%2361632056711157
Total Playoff945000002021-1422000001082523000001013-382033531075622186578669197481551996223.23%64789.06%017329957.86%15627157.56%7713457.46%2361632056711157

Soldiers 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
1Joseph Blandisi9358547131717.65%112113.53011600001059.63%11.3100
2K'Andre Miller9325-2222781915.79%1321924.41202160000010.00%00.4600
3Kieffer Bellows9224241361811.11%012013.34000300001040.00%00.6700
4Adam Mascherin9134611153616.67%5899.960000000000100.00%00.8900
5Max Lajoie903311427530.00%319121.2500030000000.00%00.3100

Soldiers Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Calvin Petersen94500.8982.1755200201960110.0000