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Connexion

Soldiers
GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 6 | GA: 3 | PP%: 13.33% | PK%: 81.82%
DG: Louis-Philippe Fraser | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #21 vs Monarchs
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Centre de jeu
Soldiers
2-0-0, 4pts
4
FINAL
2 Condors
0-1-0, 0pts
Team Stats
W2StreakL1
0-0-0Home Record0-1-0
2-0-0Away Record0-0-0
2-0-0Last 10 Games0-1-0
3.00Buts par match 2.00
1.50Buts contre par match 4.00
13.33%Pourcentage en avantage numérique50.00%
81.82%Pourcentage en désavantage numérique85.71%
Soldiers
2-0-0, 4pts
2
FINAL
1 Sharks
0-1-0, 0pts
Team Stats
W2StreakL1
0-0-0Home Record0-1-0
2-0-0Away Record0-0-0
2-0-0Last 10 Games0-1-0
3.00Buts par match 1.00
1.50Buts contre par match 2.00
13.33%Pourcentage en avantage numérique0.00%
81.82%Pourcentage en désavantage numérique87.50%
Monarchs
0-0-1, 1pts
2022-10-14
Soldiers
2-0-0, 4pts
Statistiques d’équipe
SOL1SéquenceW2
0-0-1Fiche domicile0-0-0
0-0-0Fiche visiteur2-0-0
0-0-110 derniers matchs2-0-0
1.00Buts par match 3.00
2.00Buts contre par match 3.00
25.00%Pourcentage en avantage numérique13.33%
100.00%Pourcentage en désavantage numérique81.82%
Soldiers
2-0-0, 4pts
2022-10-15
Sharks
0-1-0, 0pts
Statistiques d’équipe
W2SéquenceL1
0-0-0Fiche domicile0-1-0
2-0-0Fiche visiteur0-0-0
2-0-010 derniers matchs0-1-0
3.00Buts par match 1.00
1.50Buts contre par match 1.00
13.33%Pourcentage en avantage numérique0.00%
81.82%Pourcentage en désavantage numérique87.50%
Rampage
0-0-1, 1pts
2022-10-16
Soldiers
2-0-0, 4pts
Statistiques d’équipe
OTL1SéquenceW2
0-0-1Fiche domicile0-0-0
0-0-0Fiche visiteur2-0-0
0-0-110 derniers matchs2-0-0
2.00Buts par match 3.00
3.00Buts contre par match 3.00
16.67%Pourcentage en avantage numérique13.33%
100.00%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Buts
K'Andre Miller
1
Passes
K'Andre Miller
2
Points
K'Andre Miller
3
Plus/Moins
K'Andre Miller
2
Victoires
Karel Vejmelka
2
Pourcentage d’arrêts
Karel Vejmelka
0.912

Statistiques d’équipe
Buts pour
6
3.00 GFG
Tirs pour
33
16.50 Avg
Pourcentage en avantage numérique
13.3%
2 GF
Début de zone offensive
33.3%
Buts contre
3
1.50 GAA
Tirs contre
34
17.00 Avg
Pourcentage en désavantage numérique
81.8%
2 GA
Début de la zone défensive
43.8%
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
Assistance
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 60
Espoirs12


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
1Cole Sillinger (R)0X100.007754868275666564776572652554547050001941,633,333$
2Joe Veleno0XX100.008445898275656462726062692552526650002231,212,917$
3Klim Kostin (R)0XX100.008859837479535858446159612549496350002341,075,833$
4Cameron Hillis (R)0X100.00686283666253535569475859554444585000222910,000$
5Graeme Clarke (R)0X100.00706483646460615850545761544444605000212925,000$
6Cole Schwindt (R)0X100.00756990616966686150566264594444645000212925,000$
7Justin Kirkland0X100.00707069637060606450586562624545635000262750,000$
8Kieffer Bellows0X100.00885787747261586125746460255252685000242750,000$
9Ty Ronning0X100.00696187636161626150566261594444625000242750,000$
10Joseph Blandisi0XX100.00686769796758576480596365605858645000281700,000$
11Anthony Richard0X100.00685989635965676176566063575555625000252735,000$
12Eetu Tuulola (R)0X100.00808177658161635650485965564444615000241925,000$
13Eeli Tolvanen0XX100.008845927868668375256368642558597050002313,115,000$
14K'Andre Miller0X100.008346908281819365255250847559596650002221,275,000$
15Jacob Moverare (R)0X100.00714396687470645725494776254545605000242705,556$
16Jaycob Megna0X100.00814688688578776125514890255757645000292768,750$
17Max Lajoie0X100.00797294657268725425524164394445565000242780,000$
18Jake Bean0X100.006742888069818066256150777557586550002442,333,333$
19Vladislav Kolyachonok (R)0X100.00774493777169646325454875254646615000212910,833$
20Kale Clague0X100.00634183766570676925564866255050605000241761,250$
Rayé
1Alexander Khovanov (R)0X100.00716977626941395063484659444444515000223894,167$
2Grant Mismash (R)0XX100.00746889656851524961454860464444545000233925,000$
3Oskari Laaksonen (R)0X100.00706582636564675325504159394444545000232925,000$
4Teemu Kivihalme0X100.00716585706549504725394058384444515000271925,000$
MOYENNE D’ÉQUIPE100.0075588570706364604454556643494961500
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
1Karel Vejmelka (R)100.0067565583676683676566754949675000264925,000$
2Calvin Petersen100.0063747170656074646563755454665000271858,333$
Rayé
1Jacob Ingham (R)100.0044405078454445494545454444455000222850,000$
2Kirill Ustimenko (R)100.0044405076454445494545454444455000231925,000$
MOYENNE D’ÉQUIPE100.005553577756546257555560484856500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes84828283747080USA473500,000$


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
1K'Andre MillerSoldiers (VGK)D21232408243125.00%34723.8911241300007000.00%000001.2600000101
2Jake BeanSoldiers (VGK)D21231404450320.00%34221.3402241300007000.00%000001.4100000010
3Cole SillingerSoldiers (VGK)C2112-1000523050.00%03919.88112113000091019.883400001.0100000000
4Joseph BlandisiSoldiers (VGK)C/LW21122203340225.00%03216.3000000000050016.303300001.2300000100
5Anthony RichardSoldiers (VGK)C2022200000020.00%0126.030000000000006.031000003.3200000000
6Jaycob MegnaSoldiers (VGK)D21010000451420.00%04221.1000041200008100.00%000000.4700000010
7Vladislav KolyachonokSoldiers (VGK)D2011140130000.00%02613.440000000000000.00%000000.7400000000
8Justin KirklandSoldiers (VGK)LW2011200031000.00%02713.5300000000000013.53100000.7400000000
9Ty RonningSoldiers (VGK)RW2011200120020.00%02713.8400000000000013.84200000.7200000000
10Eeli TolvanenSoldiers (VGK)LW/RW21011203441425.00%04422.33000013000060022.331100000.4500000000
11Joe VelenoSoldiers (VGK)C/LW2000040082000.00%13819.00000112000070019.004300000.00%00000000
12Klim KostinSoldiers (VGK)LW/RW2000020202010.00%03417.0600021300001000.00%000000.00%00000000
13Cameron HillisSoldiers (VGK)C2000000000000.00%021.030000000001000.00%000000.00%00000000
14Graeme ClarkeSoldiers (VGK)RW2000000000000.00%042.300000000000000.00%000000.00%00000000
15Jacob MoverareSoldiers (VGK)D2000100010000.00%03015.150000000003000.00%000000.00%00000000
16Cole SchwindtSoldiers (VGK)RW2000000022000.00%03015.46000212000000015.46400000.00%00000000
17Max LajoieSoldiers (VGK)D2000100100000.00%084.330000000002000.00%000000.00%00000000
18Kale ClagueSoldiers (VGK)D2000000032110.00%14120.6900011200007000.00%000000.00%00000000
19Kieffer BellowsSoldiers (VGK)LW2000-100510010.00%03417.25000012000060017.25400000.00%00000000
20Eetu TuulolaSoldiers (VGK)RW2000200000100.00%0126.030000000000006.03200000.00%00000000
Statistiques d’équipe totales ou en moyenne406111715220284533102118.18%857914.50246191300000762049.31%14400000.5900000221
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
1Karel VejmelkaSoldiers (VGK)22000.9121.50120003340000.00%020000
Statistiques d’équipe totales ou en moyenne22000.9121.5012000334000020000


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
Alexander KhovanovSoldiers (VGK)C222000-04-12Yes198 Lbs5 ft10NoNoNo3Pro & Farm894,167$869,669$894,167$869,669$0$0$No894,167$894,167$
Anthony RichardSoldiers (VGK)C251996-12-20No163 Lbs5 ft10NoNoNo2Pro & Farm735,000$714,863$735,000$714,863$0$0$No735,000$Lien
Calvin PetersenSoldiers (VGK)G271994-10-19No185 Lbs6 ft1NoNoNo1Pro & Farm858,333$834,817$858,333$834,817$0$0$NoLien
Cameron HillisSoldiers (VGK)C222000-06-24Yes171 Lbs5 ft10NoNoNo2Pro & Farm910,000$885,068$910,000$885,068$0$0$No910,000$Lien
Cole SchwindtSoldiers (VGK)RW212001-04-25Yes183 Lbs6 ft2NoNoNo2Pro & Farm925,000$899,658$870,000$846,164$0$0$No925,000$Lien
Cole SillingerSoldiers (VGK)C192003-05-16Yes203 Lbs6 ft2NoNoNo4Pro & Farm1,633,333$1,588,584$1,633,333$1,588,584$0$0$No1,633,333$1,633,333$1,633,333$
Eeli TolvanenSoldiers (VGK)LW/RW231999-04-22No191 Lbs5 ft10NoNoNo1Pro & Farm3,115,000$3,029,658$3,115,000$3,029,658$0$0$NoLien
Eetu TuulolaSoldiers (VGK)RW241998-03-17Yes224 Lbs6 ft2NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Graeme ClarkeSoldiers (VGK)RW212001-04-24Yes174 Lbs6 ft0NoNoNo2Pro & Farm925,000$899,658$850,833$827,523$0$0$No925,000$Lien
Grant MismashSoldiers (VGK)C/LW231999-02-19Yes185 Lbs6 ft0NoNoNo3Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$
Jacob InghamSoldiers (VGK)G222000-06-09Yes186 Lbs6 ft4NoNoNo2Pro & Farm850,000$826,712$850,000$826,712$0$0$No850,000$Lien
Jacob MoverareSoldiers (VGK)D241998-08-31Yes198 Lbs6 ft3NoNoNo2Pro & Farm705,556$686,226$705,556$686,226$0$0$No705,556$Lien
Jake BeanSoldiers (VGK)D241998-06-09No186 Lbs6 ft1NoNoNo4Pro & Farm2,333,333$2,269,406$2,333,333$2,269,406$0$0$No2,333,333$2,333,333$2,333,333$Lien
Jaycob MegnaSoldiers (VGK)D291992-12-10No221 Lbs6 ft6YesNoNo2Pro & Farm768,750$747,688$768,750$747,688$0$0$No768,750$Lien
Joe VelenoSoldiers (VGK)C/LW222000-01-13No206 Lbs6 ft1NoNoNo3Pro & Farm1,212,917$1,179,686$1,212,917$1,179,686$0$0$No1,212,917$1,212,917$Lien
Joseph BlandisiSoldiers (VGK)C/LW281994-07-18No184 Lbs6 ft0NoNoNo1Pro & Farm700,000$680,822$700,000$680,822$0$0$NoLien
Justin KirklandSoldiers (VGK)LW261996-08-02No183 Lbs6 ft3NoNoNo2Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$Lien
K'Andre MillerSoldiers (VGK)D222000-01-21No210 Lbs6 ft5NoNoNo2Pro & Farm1,275,000$1,240,068$1,275,000$1,240,068$0$0$No1,275,000$Lien
Kale ClagueSoldiers (VGK)D241998-06-05No177 Lbs6 ft0NoNoNo1Pro & Farm761,250$740,394$761,250$740,394$0$0$NoLien
Karel VejmelkaSoldiers (VGK)G261996-05-25Yes203 Lbs6 ft4NoNoNo4Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$925,000$
Kieffer BellowsSoldiers (VGK)LW241998-06-10No195 Lbs6 ft0NoNoNo2Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$Lien
Kirill UstimenkoSoldiers (VGK)G231999-01-29Yes187 Lbs6 ft3NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$No
Klim KostinSoldiers (VGK)LW/RW231999-05-05Yes212 Lbs6 ft3NoNoNo4Pro & Farm1,075,833$1,046,358$1,075,833$1,046,358$0$0$No1,075,833$1,075,833$1,075,833$Lien
Max LajoieSoldiers (VGK)D241997-11-05No196 Lbs6 ft1NoNoNo2Pro & Farm780,000$758,630$710,000$690,548$0$0$No780,000$Lien
Oskari LaaksonenSoldiers (VGK)D231999-07-02Yes172 Lbs6 ft1NoNoNo2Pro & Farm925,000$899,658$853,333$829,954$0$0$No925,000$Lien
Teemu KivihalmeSoldiers (VGK)D271995-06-14No176 Lbs6 ft0NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Ty RonningSoldiers (VGK)RW241997-10-20No172 Lbs5 ft9NoNoNo2Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$Lien
Vladislav KolyachonokSoldiers (VGK)D212001-05-26Yes194 Lbs6 ft1NoNoNo2Pro & Farm910,833$885,879$910,833$885,879$0$0$No910,833$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.68191 Lbs6 ft12.141,041,761$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kieffer BellowsCole SillingerEeli Tolvanen35122
2Klim KostinJoe VelenoCole Schwindt30122
3Justin KirklandJoseph BlandisiTy Ronning25122
4Eeli TolvanenAnthony RichardEetu Tuulola10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJake Bean35122
2Jaycob MegnaKale Clague30122
3Vladislav KolyachonokJacob Moverare25122
4Max LajoieK'Andre Miller10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eeli TolvanenCole SillingerKlim Kostin60122
2Kieffer BellowsJoe VelenoCole Schwindt40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJake Bean60122
2Jaycob MegnaKale Clague40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Eeli TolvanenCole Sillinger60122
2Joe VelenoKieffer Bellows40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJake Bean60122
2Jaycob MegnaKale Clague40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Eeli Tolvanen60122K'Andre MillerJake Bean60122
2Cole Sillinger40122Jaycob MegnaKale Clague40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Eeli TolvanenCole Sillinger60122
2Joe VelenoKieffer Bellows40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1K'Andre MillerJake Bean60122
2Jaycob MegnaKale Clague40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eeli TolvanenCole SillingerKlim KostinK'Andre MillerJake Bean
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eeli TolvanenCole SillingerKlim KostinK'Andre MillerJake Bean
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Graeme Clarke, Cameron Hillis, Joseph BlandisiGraeme Clarke, Cameron HillisJoseph Blandisi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vladislav Kolyachonok, Jacob Moverare, Max LajoieVladislav KolyachonokJacob Moverare, Max Lajoie
Tirs de pénalité
Eeli Tolvanen, Cole Sillinger, Joe Veleno, Kieffer Bellows, Joseph Blandisi
Gardien
#1 : Karel Vejmelka, #2 : Calvin Petersen
Lignes d’attaque personnalisées en prolongation
Eeli Tolvanen, Cole Sillinger, Joe Veleno, Kieffer Bellows, Joseph Blandisi, Klim Kostin, Klim Kostin, Justin Kirkland, Cole Schwindt, Anthony Richard, Ty Ronning
Lignes de défense personnalisées en prolongation
K'Andre Miller, Jake Bean, Jaycob Megna, Kale Clague, Vladislav Kolyachonok


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
1Condors11000000422000000000001100000042221.0004711002130221210110164897114.29%4250.00%0254852.08%316349.21%153345.45%463047162613
2Sharks11000000211000000000001100000021121.00024600213011121011018414198112.50%70100.00%0254852.08%316349.21%153345.45%463047162613
Total22000000633000000000002200000063341.00061117002130331210110348222815213.33%11281.82%0254852.08%316349.21%153345.45%463047162613
_Since Last GM Reset22000000633000000000002200000063341.00061117002130331210110348222815213.33%11281.82%0254852.08%316349.21%153345.45%463047162613
_Vs Conference22000000633000000000002200000063341.00061117002130331210110348222815213.33%11281.82%0254852.08%316349.21%153345.45%463047162613

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
24W26111733348222800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
220000063
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
220000063
Derniers 10 matchs
WLOTWOTL SOWSOL
200000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15213.33%11281.82%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
12101102130
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
254852.08%316349.21%153345.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
463047162613


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 - 2022-10-091Soldiers4Condors2AWSommaire du match
2 - 2022-10-1010Soldiers2Sharks1AWSommaire du match
6 - 2022-10-1421Monarchs-Soldiers-
7 - 2022-10-1531Soldiers-Sharks-
8 - 2022-10-1641Rampage-Soldiers-
10 - 2022-10-1853Soldiers-Sharks-
11 - 2022-10-1957Soldiers-Condors-
12 - 2022-10-2066Sound Tigers-Soldiers-
15 - 2022-10-2385IceHogs-Soldiers-
16 - 2022-10-2493Soldiers-IceHogs-
18 - 2022-10-26106Rampage-Soldiers-
22 - 2022-10-30122Wolves-Soldiers-
23 - 2022-10-31131Soldiers-Griffins-
24 - 2022-11-01141Soldiers-Sharks-
26 - 2022-11-03151Sound Tigers-Soldiers-
28 - 2022-11-05165Soldiers-Marlies-
29 - 2022-11-06173Soldiers-Stars-
30 - 2022-11-07176Sharks-Soldiers-
34 - 2022-11-11194Stars-Soldiers-
36 - 2022-11-13205Soldiers-Monsters-
41 - 2022-11-18218Crunch-Soldiers-
42 - 2022-11-19234Condors-Soldiers-
45 - 2022-11-22246Soldiers-IceHogs-
46 - 2022-11-23253Senators-Soldiers-
48 - 2022-11-25264Soldiers-Stars-
50 - 2022-11-27276IceHogs-Soldiers-
51 - 2022-11-28291Rampage-Soldiers-
52 - 2022-11-29299Soldiers-Bruins-
55 - 2022-12-02314Soldiers-Admirals-
56 - 2022-12-03320Phantoms-Soldiers-
58 - 2022-12-05331Soldiers-Wolves-
59 - 2022-12-06339Soldiers-Griffins-
61 - 2022-12-08350Moose-Soldiers-
64 - 2022-12-11364Marlies-Soldiers-
66 - 2022-12-13373Soldiers-Condors-
67 - 2022-12-14382Soldiers-Monarchs-
68 - 2022-12-15392Moose-Soldiers-
70 - 2022-12-17407Soldiers-Flames-
72 - 2022-12-19415Monarchs-Soldiers-
75 - 2022-12-22428Soldiers-Sharks-
76 - 2022-12-23437Monarchs-Soldiers-
78 - 2022-12-25452Phantoms-Soldiers-
80 - 2022-12-27464Soldiers-Sharks-
82 - 2022-12-29474Soldiers-Stars-
84 - 2022-12-31480Sound Tigers-Soldiers-
85 - 2023-01-01494Soldiers-IceHogs-
88 - 2023-01-04502Rocket-Soldiers-
90 - 2023-01-06517Penguins-Soldiers-
93 - 2023-01-09531Soldiers-Wolves-
95 - 2023-01-11540Griffins-Soldiers-
97 - 2023-01-13549Soldiers-Rampage-
99 - 2023-01-15559Soldiers-Monsters-
100 - 2023-01-16568Penguins-Soldiers-
103 - 2023-01-19580Soldiers-Condors-
105 - 2023-01-21587Admirals-Soldiers-
107 - 2023-01-23601Soldiers-Condors-
108 - 2023-01-24609Soldiers-Phantoms-
109 - 2023-01-25616Flames-Soldiers-
112 - 2023-01-28631Soldiers-Griffins-
114 - 2023-01-30637Rocket-Soldiers-
117 - 2023-02-02654Stars-Soldiers-
118 - 2023-02-03663Soldiers-Moose-
121 - 2023-02-06674Soldiers-Sound Tigers-
122 - 2023-02-07680Wolves-Soldiers-
126 - 2023-02-11699Griffins-Soldiers-
127 - 2023-02-12710Soldiers-Moose-
130 - 2023-02-15721Wolves-Soldiers-
133 - 2023-02-18734Soldiers-Rocket-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
135 - 2023-02-20744Flames-Soldiers-
140 - 2023-02-25762Wolf Pack-Soldiers-
141 - 2023-02-26766Soldiers-Rampage-
145 - 2023-03-02789Admirals-Soldiers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
93,616$ 2,916,930$ 2,889,846$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 79,916$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 142 23,404$ 3,323,368$




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

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

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

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

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