Connexion

Soldiers
GP: 9 | W: 4 | L: 5
GF: 20 | GA: 21 | PP%: 3.23% | PK%: 89.06%
DG: Louis-Philippe Fraser | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
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
2.52Buts par match 2.22
1.86Buts contre par match 2.33
11.27%Pourcentage en avantage numérique3.23%
94.66%Pourcentage en désavantage numérique89.06%
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
2.52Buts par match 2.22
1.86Buts contre par match 2.33
11.27%Pourcentage en avantage numérique3.23%
94.66%Pourcentage en désavantage numérique89.06%
Meneurs d'équipe
Buts
Joseph Blandisi
3
Passes
Joseph Blandisi
5
Points
Joseph Blandisi
8
Plus/Moins
Adam Mascherin
6
Victoires
Calvin Petersen
4
Pourcentage d’arrêts
Calvin Petersen
0.898

Statistiques d’équipe
Buts pour
20
2.22 GFG
Tirs pour
218
24.22 Avg
Pourcentage en avantage numérique
3.2%
2 GF
Début de zone offensive
42.5%
Buts contre
21
2.33 GAA
Tirs contre
197
21.89 Avg
Pourcentage en désavantage numérique
89.1%
7 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralLouis-Philippe Fraser
EntraîneurJohn Hynes
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 60
Espoirs19


Historique d'équipe

Saison actuelle4-5
Historique40-35-10 (0.471%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)4-5
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
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$
Rayé
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$
MOYENNE D’ÉQUIPE100.0075648566696363584553556447474760500
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Calvin Petersen100.0066788570666860676965754747665000262858,333$
2Jacob Ingham (R)100.0067546878706672767171304444625000213850,000$
Rayé
1Hunter Miska100.0060567065636355646160304444575000251725,000$
MOYENNE D’ÉQUIPE100.006463747166666269676545454562500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes83808081666281USA4821,356,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
Statistiques d’équipe totales ou en moyenne1712033532015515199152218661589.17%48264615.482467051300034174157.67%70400010.4000201255
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP 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
Statistiques d’équipe totales ou en moyenne94500.8982.1755200201960110.000090100


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam MascherinSoldiers (VGK)LW231998-06-05No205 Lbs5 ft10NoNoNo1Pro & Farm880,000$450,000$0$0$NoLien
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$Lien
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$0$NoLien
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$0$NoLien
Eeli TolvanenSoldiers (VGK)LW/RW221999-04-22No191 Lbs5 ft10NoNoNo2Pro & Farm3,115,000$3,115,000$0$0$No3,115,000$Lien
Eetu TuulolaSoldiers (VGK)RW231998-03-17No224 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
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$0$NoLien
Jack DoughertySoldiers (VGK)D251996-05-25No186 Lbs6 ft1NoNoNo1Pro & Farm902,000$450,000$0$0$NoLien
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$0$NoLien
Joel KellmanSoldiers (VGK)C271994-05-25No192 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Joseph BlandisiSoldiers (VGK)C/LW261994-07-18No184 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Joseph VelenoSoldiers (VGK)C212000-01-13Yes198 Lbs6 ft1NoNoNo2Pro & Farm1,243,750$1,243,750$0$0$No1,243,750$Lien
Justin KirklandSoldiers (VGK)LW241996-08-02No183 Lbs6 ft3NoNoNo1Pro & Farm925,000$450,000$0$0$NoLien
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$0$NoLien
Kieffer BellowsSoldiers (VGK)LW231998-06-10No195 Lbs6 ft0NoNoNo1Pro & Farm1,106,666$450,000$0$0$NoLien
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$Lien
Ty RonningSoldiers (VGK)RW231997-10-20No172 Lbs5 ft9NoNoNo1Pro & Farm750,833$450,000$0$0$NoLien
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$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.94188 Lbs6 ft02.061,026,978$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph BlandisiSeth Jarvis35122
2Eeli TolvanenYakov TreninEetu Tuulola30122
3Kieffer BellowsJoseph VelenoDmitry Sokolov25122
4Adam MascherinAnthony RichardTy Ronning10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJake Bean35122
2Kale ClagueMax Lajoie30122
3Cameron YorkJacob Moverare25122
4K'Andre MillerJake Bean10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Seth JarvisEeli Tolvanen60122
2Joseph BlandisiYakov TreninEetu Tuulola40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJake Bean60122
2Kale ClagueMax Lajoie40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Eeli Tolvanen60122
2Seth JarvisYakov Trenin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJake Bean60122
2Kale ClagueMax Lajoie40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122K'Andre MillerJake Bean60122
2Eeli Tolvanen40122Kale ClagueMax Lajoie40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Eeli Tolvanen60122
2Seth JarvisYakov Trenin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJake Bean60122
2Kale ClagueMax Lajoie40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Seth JarvisEeli TolvanenK'Andre MillerJake Bean
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Seth JarvisEeli TolvanenK'Andre MillerJake Bean
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Kirkland, Kieffer Bellows, Joseph VelenoJustin Kirkland, Kieffer BellowsJoseph Veleno
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron York, Jacob Moverare, Kale ClagueCameron YorkJacob Moverare, Kale Clague
Tirs de pénalité
, Eeli Tolvanen, Seth Jarvis, Yakov Trenin, Joseph Blandisi
Gardien
#1 : Calvin Petersen, #2 : Jacob Ingham


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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 pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
98L42033532181974815519910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
94500002021
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4220000108
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001013
Derniers 10 matchs
WLOTWOTL SOWSOL
450000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6223.23%64789.06%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
65786697562
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
17329957.86%15627157.56%7713457.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2361632056711157


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2022-03-166Soldiers2IceHogs1AWXSommaire du match
2 - 2022-03-1714Soldiers1IceHogs3ALSommaire du match
3 - 2022-03-1822IceHogs1Soldiers6BWSommaire du match
4 - 2022-03-1930IceHogs1Soldiers2BWSommaire du match
5 - 2022-03-2038Soldiers3IceHogs2AWXSommaire du match
8 - 2022-03-2359Soldiers1Sound Tigers3ALSommaire du match
9 - 2022-03-2463Soldiers3Sound Tigers4ALSommaire du match
10 - 2022-03-2567Sound Tigers3Soldiers1BLSommaire du match
11 - 2022-03-2671Sound Tigers3Soldiers1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,183,630$ 2,751,346$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Soldiers Leaders statistiques (saison régulière)

# Nom du joueur 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 Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien 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 Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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
Saison régulière
202182323503057213207641122003033103109-641201500024110981287213368581010835765161727564568568691740522131215754586413.97%5476687.93%31251237852.61%1158236748.92%629123151.10%1947131020016171042522
Total Saison régulière82323503057213207641122003033103109-641201500024110981287213368581010835765161727564568568691740522131215754586413.97%5476687.93%31251237852.61%1158236748.92%629123151.10%1947131020016171042522
2021945000002021-1422000001082523000001013-382033531075622186578669197481551996223.23%64789.06%017329957.86%15627157.56%7713457.46%2361632056711157
Total Séries éliminatoires945000002021-1422000001082523000001013-382033531075622186578669197481551996223.23%64789.06%017329957.86%15627157.56%7713457.46%2361632056711157

Soldiers Leaders statistiques (séries éliminatoires)

# Nom du joueur 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 Leaders des statistiques des gardiens (séries éliminatoires)

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