Connexion

Little Stars
GP: 80 | W: 37 | L: 37 | OTL: 6 | P: 80
GF: 329 | GA: 320 | PP%: 22.74% | PK%: 78.75%
DG: Francois Cloutier | Morale : 36 | Moyenne d’équipe : 63
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Centre de jeu
Thunderbirds
42-31-7, 91pts
1
FINAL
5 Little Stars
37-37-6, 80pts
Team Stats
W1StreakL1
23-14-3Home Record15-20-5
19-17-4Away Record22-17-1
4-6-0Last 10 Games4-6-0
4.19Buts par match 4.11
4.14Buts contre par match 4.00
20.80%Pourcentage en avantage numérique22.74%
79.02%Pourcentage en désavantage numérique78.75%
Thunderbirds
42-31-7, 91pts
5
FINAL
4 Little Stars
37-37-6, 80pts
Team Stats
W1StreakL1
23-14-3Home Record15-20-5
19-17-4Away Record22-17-1
4-6-0Last 10 Games4-6-0
4.19Buts par match 4.11
4.14Buts contre par match 4.00
20.80%Pourcentage en avantage numérique22.74%
79.02%Pourcentage en désavantage numérique78.75%
Meneurs d'équipe
Buts
Ilya Mikheyev
48
Passes
Daniel O'regan
80
Points
Daniel O'regan
117
Plus/Moins
Michael Mersch
17
Victoires
Connor Knapp
23
Pourcentage d’arrêts
Connor Knapp
0.876

Statistiques d’équipe
Buts pour
329
4.11 GFG
Tirs pour
2665
33.31 Avg
Pourcentage en avantage numérique
22.7%
78 GF
Début de zone offensive
37.2%
Buts contre
320
4.00 GAA
Tirs contre
2494
31.18 Avg
Pourcentage en désavantage numérique
78.7%
61 GA
Début de la zone défensive
35.2%
Informations de l'équipe

Directeur généralFrancois Cloutier
EntraîneurClaude Julien
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,799
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure20
Limite contact 53 / 250
Espoirs0


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
1Jordan LaValleeX100.007038766666717171668076607072671831700302900,000$
2Ilya Mikheyev (R)X100.007549806869767476767067616953494756690221500,000$
3Adam Tambellini (R)X100.006229756882756764687482486451454256670223600,000$
4Daniel O'regan (R)X100.006528786865767371727872565950454356670221400,000$
5Joakim Nygard (R)X100.005740807471625981727062618349524838670231500,000$
6Michael Mersch (R)X100.006735747273656370655875537055563851650241500,000$
7Sebastian Wannstrom (R)X100.006429707071676666717268506155563057650251700,000$
8Zach Budish (R)X100.007132776566646563677272566449493145650251725,000$
9Henrik Borgstrom (R)X100.006940746973687166717066606343417736650192500,000$
10Jason Dickinson (R)X100.006632746863636971726669547344445859640213500,000$
11Daniil Tarasov (R)X100.006232676168626066706566546055552819620251650,000$
12Roman Horak (R)X100.006139746758686669716762495348492656620252300,000$
13Tyler Wotherspoon (R)X100.007326857576767574537663786666474648730231975,000$
14Anton Cederholm (R)X100.006727846675707060487762804955445144700213750,000$
15Eric Knodel (R)X100.007434707167786567457260715562562937690261500,000$
16Reece Willcox (R)X100.006229757464647267496957746348464646660221375,000$
17Tucker Poolman (R)X100.006933707567625965606851645748484336640233600,000$
18Ville Pokka (R)X100.006437706360656366356662595444444556610221500,000$
Rayé
1Emile Poirier (R)X100.005430806974646662626380507146444317640222550,000$
2Shane Gersich (R)X100.006136776856667374767564405242426518630204600,000$
3Matt Luff (R)X100.006335685871585857566981396543436419610192500,000$
4Justin Auger (R)X100.005727745665696559607072416846454418600222500,000$
5Radel Fazleev (R)X100.004933716453666361737465445142424918600203550,000$
6Jonathan Dahlen (R)X100.005223646845504670625763536342416018580192500,000$
7Joey Anderson (R)X100.005741666462535953615460555440407720560182500,000$
8Givani Smith (R)X100.006544575865487658496155504840407620560182500,000$
9Rudolfs Balcers (R)X100.005735675550625351595465475841416120550191500,000$
10Jean-Christophe Beaudin (R)X100.004923615346526062606857385141416820540191500,000$
11Yakov Trenin (R)X100.006231625561585062505352395641415320530191500,000$
12Frederic Allard (R)X100.006247676355656166356044645341426519600192500,000$
13Lawrence Pilut (R)X100.006035685459586563416457545246435717580211500,000$
MOYENNE D’ÉQUIPE100.00633472656465656660676555604846493563
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
1Connor Knapp100.00705766757670646574677357532756690261900,000$
2Dustin Tokarski100.00716781666675746764736768593056690271900,000$
Rayé
MOYENNE D’ÉQUIPE100.0071627471717369666970706356295669
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien82837474596155CAN5211,000,000$


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
1Daniel O'reganLittle Stars (Dal)C803780117-5420991712567817214.45%50179322.421426404228110152152150.41%26765528011.3012000487
2Jordan LaValleeLittle Stars (Dal)LW784262104-154201321172918619914.43%51175222.471021314026900062237248.64%2576434021.1917000558
3Ilya MikheyevLittle Stars (Dal)RW78485098-124401361082859714616.84%31156620.08141933652720002586245.65%1384023101.25380001026
4Adam TambelliniLittle Stars (Dal)LW793438721320125922316913514.72%23141017.8588162420110151682140.68%596019001.0225000465
5Sebastian WannstromLittle Stars (Dal)RW803330634675122821945913417.01%16127115.9061420222150000105248.21%563321000.9901001032
6Henrik BorgstromLittle Stars (Dal)C69193756-4340117132118469016.10%25113116.398816201890111571048.98%8351917000.9900000401
7Tyler WotherspoonLittle Stars (Dal)D558354351607210911551586.96%112145626.485712252210004185010.00%03241000.5900000125
8Anton CederholmLittle Stars (Dal)D7863642-43159916212941574.65%122217027.8351217243080004245100.00%02667000.3900010110
9Joakim NygardLittle Stars (Dal)LW77211940-1114044671845012911.41%2392712.052136350111432239.29%283816010.8612000220
10Jason DickinsonLittle Stars (Dal)C80172239-1539510486136389812.50%21102012.760224421011881151.67%4782214000.7601100011
11Roman HorakLittle Stars (Dal)C8092231138058419332709.68%96788.48000000000141050.00%246186000.9100000200
12Michael MerschLittle Stars (Dal)LW7115132817806536140378410.71%126028.48000010000160250.00%16339010.9300000202
13Reece WillcoxLittle Stars (Dal)D8032326-8320691388731333.45%83163620.46224142040000178000.00%02554000.3201000001
14Eric KnodelLittle Stars (Dal)D7571724-28601011239931367.07%83169922.65336152090116155010.00%02950000.2800000010
15Zach BudishLittle Stars (Dal)RW7681624-1640974510128587.92%2388611.670000250000102060.00%453217000.5411000021
16Tucker PoolmanLittle Stars (Dal)D8021921-1440091895427293.70%80123015.38123254000081000.00%01027000.3400000000
17Daniil TarasovLittle Stars (Dal)RW5183117160472244212018.18%74318.4600008000003044.44%976000.5100000021
18Matt LuffLittle Stars (Dal)RW3874111010023826101026.92%12867.5300000000040120.00%545000.7700000031
19Ville PokkaLittle Stars (Dal)D80099820048602116170.00%46102912.87000110000038000.00%0440000.1700000000
20Emile PoirierLittle Stars (Dal)LW19044020582413150.00%31517.9500002000190053.85%1350000.5300000000
21Radel FazleevLittle Stars (Dal)C1313440066102810.00%2947.2500001000020052.78%3603000.8500000001
22Frederic AllardLittle Stars (Dal)D30044140173225780.00%2542214.07011228000026000.00%0515000.1900000000
23Lawrence PilutLittle Stars (Dal)D5011-300232030.00%2479.540000000002000.00%002000.4200000000
24Shane GersichLittle Stars (Dal)LW4000-100000120.00%192.43000000000000100.00%300000.0000000000
Statistiques d’équipe totales ou en moyenne1456325547872-4059115167917372665871161112.20%8512370516.28781262043062595336371827331649.94%4900561514150.74928111353842
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
1Connor KnappLittle Stars (Dal)53232040.8763.842846211821467776530.600204733012
2Dustin TokarskiLittle Stars (Dal)38141720.8743.891992201291022513120.75083347212
Statistiques d’équipe totales ou en moyenne91373760.8753.8648384131124891289650.643288080224


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 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 TambelliniLittle Stars (Dal)LW221994-01-01Yes185 Lbs6 ft4NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Anton CederholmLittle Stars (Dal)D211995-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Connor KnappLittle Stars (Dal)G261990-01-01No206 Lbs6 ft6NoNoNo1Pro & Farm900,000$0$0$No
Daniel O'reganLittle Stars (Dal)C221994-01-01Yes169 Lbs5 ft9NoNoNo1Pro & Farm400,000$0$0$No
Daniil TarasovLittle Stars (Dal)RW251991-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Dustin TokarskiLittle Stars (Dal)G271989-01-01No198 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$No
Emile PoirierLittle Stars (Dal)LW221994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm550,000$0$0$No550,000$
Eric KnodelLittle Stars (Dal)D261990-01-01Yes216 Lbs6 ft6NoNoNo1Pro & Farm500,000$0$0$No
Frederic AllardLittle Stars (Dal)D191997-01-01Yes179 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Givani SmithLittle Stars (Dal)RW181998-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Henrik BorgstromLittle Stars (Dal)C191997-01-01Yes198 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ilya MikheyevLittle Stars (Dal)RW221994-01-01Yes195 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Jason DickinsonLittle Stars (Dal)C211995-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Jean-Christophe BeaudinLittle Stars (Dal)C191997-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Joakim NygardLittle Stars (Dal)LW231993-01-01Yes179 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Joey AndersonLittle Stars (Dal)RW181998-01-01Yes190 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jonathan DahlenLittle Stars (Dal)LW191997-01-01Yes181 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jordan LaValleeLittle Stars (Dal)LW301986-01-01No225 Lbs6 ft3NoNoNo2Pro & Farm900,000$0$0$No900,000$
Justin AugerLittle Stars (Dal)RW221994-01-01Yes185 Lbs6 ft7NoNoNo2Pro & Farm500,000$0$0$No500,000$
Lawrence PilutLittle Stars (Dal)D211995-01-01Yes194 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Matt LuffLittle Stars (Dal)RW191997-01-01Yes190 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Michael MerschLittle Stars (Dal)LW241992-01-01Yes218 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Radel FazleevLittle Stars (Dal)C201996-01-01Yes192 Lbs5 ft11NoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$
Reece WillcoxLittle Stars (Dal)D221994-01-01Yes184 Lbs6 ft3NoNoNo1Pro & Farm375,000$0$0$No
Roman HorakLittle Stars (Dal)C251991-01-01Yes170 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$
Rudolfs BalcersLittle Stars (Dal)LW191997-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Sebastian WannstromLittle Stars (Dal)RW251991-01-01Yes180 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
Shane GersichLittle Stars (Dal)LW201996-01-01Yes175 Lbs5 ft11NoNoNo4Pro & Farm600,000$0$0$No700,000$800,000$900,000$
Tucker PoolmanLittle Stars (Dal)D231993-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Tyler WotherspoonLittle Stars (Dal)D231993-01-01Yes210 Lbs6 ft2NoNoNo1Pro & Farm975,000$0$0$No
Ville PokkaLittle Stars (Dal)D221994-01-01Yes205 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Yakov TreninLittle Stars (Dal)C191997-01-01Yes201 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Zach BudishLittle Stars (Dal)RW251991-01-01Yes223 Lbs6 ft3NoNoNo1Pro & Farm725,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3322.06193 Lbs6 ft11.70575,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan LaValleeDaniel O'reganIlya Mikheyev40122
2Adam TambelliniHenrik BorgstromSebastian Wannstrom30122
3Joakim NygardJason DickinsonZach Budish20122
4Michael MerschRoman HorakDaniil Tarasov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonAnton Cederholm40122
2Eric KnodelReece Willcox30122
3Tucker PoolmanVille Pokka20122
4Tyler WotherspoonAnton Cederholm10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan LaValleeDaniel O'reganIlya Mikheyev60023
2Adam TambelliniHenrik BorgstromSebastian Wannstrom40023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonAnton Cederholm60023
2Eric KnodelReece Willcox40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Daniel O'reganJordan LaVallee60032
2Henrik BorgstromAdam Tambellini40032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonAnton Cederholm60032
2Eric KnodelReece Willcox40032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Daniel O'regan60032Tyler WotherspoonAnton Cederholm60032
2Henrik Borgstrom40032Eric KnodelReece Willcox40032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Daniel O'reganJordan LaVallee60023
2Henrik BorgstromAdam Tambellini40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonAnton Cederholm60023
2Eric KnodelReece Willcox40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan LaValleeDaniel O'reganIlya MikheyevTyler WotherspoonAnton Cederholm
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan LaValleeDaniel O'reganIlya MikheyevTyler WotherspoonAnton Cederholm
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel O'regan, Sebastian Wannstrom, Zach BudishDaniel O'regan, Sebastian WannstromDaniel O'regan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Reece Willcox, Tucker Poolman, Ville PokkaReece WillcoxReece Willcox, Tucker Poolman
Tirs de pénalité
Jordan LaVallee, Ilya Mikheyev, Adam Tambellini, Joakim Nygard, Daniel O'regan
Gardien
#1 : Connor Knapp, #2 : Dustin Tokarski


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
1Admirals211000009361010000023-11100000070720.500915240192115116116381894588346572010451417.14%5180.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
2Barracuda211000001064110000007251010000034-120.5001015250092115116116681894588346632785510220.00%5260.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
3Bears3110001014140210000109721010000057-240.66714223600921151161192818945883469830146810440.00%70100.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
4Comets613010102029-931200000812-4301010101217-560.50020315100921151161118381894588346177655413039717.95%26869.23%0934182451.21%824172747.71%689134951.07%169393616897701465727
5Condors20100100811-31000010056-11010000035-210.25081624109211511611668189458834664228429222.22%4250.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
6Crunch42200000171431010000035-232100000149540.5001731480092115116111568189458834613236248213646.15%12375.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
7Devils312000001215-31010000035-221100000910-120.33312172910921151161198818945883469431226512325.00%11463.64%1934182451.21%824172747.71%689134951.07%169393616897701465727
8Eagles412000101314-12010001079-22110000065140.5001321340092115116111298189458834610841167417317.65%8275.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
9Griffins210000019721000000145-11100000052330.7509182700921151161175818945883466619163811545.45%80100.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
10Heat2110000010731010000023-11100000084420.500101626009211511611728189458834667301251600.00%60100.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
11Icehogs220000001037110000003121100000072541.00010182800921151161170818945883465822164510220.00%80100.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
12Marlies505000001026-1630300000617-112020000049-500.000101626109211511611128818945883461625140851915.26%19668.42%0934182451.21%824172747.71%689134951.07%169393616897701465727
13Monsters211000001011-11010000036-31100000075220.5001017270092115116116381894588346612416467114.29%8187.50%0934182451.21%824172747.71%689134951.07%169393616897701465727
14Moose421000102117411000000422311000101715260.7502132530092115116111438189458834612344269112433.33%12466.67%0934182451.21%824172747.71%689134951.07%169393616897701465727
15Penguins30200001813-52010000169-31010000024-210.1678152300921151161193818945883461073024631119.09%12283.33%0934182451.21%824172747.71%689134951.07%169393616897701465727
16Phantoms2110000010731010000056-11100000051420.50010203000921151161177818945883467313114310220.00%30100.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
17Punishers660000003417173300000020812330000001495121.000345690009211511611212818945883461716655118311135.48%25388.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
18Rampage7510100030191132001000177104310000013121120.857304878009211511611241818945883462117262152391230.77%31680.65%1934182451.21%824172747.71%689134951.07%169393616897701465727
19Reign20200000512-71010000035-21010000027-500.00058131092115116115981894588346632716348112.50%8450.00%0934182451.21%824172747.71%689134951.07%169393616897701465727
20Rocket20100100710-31000010056-11010000024-210.25071219109211511611768189458834661201046700.00%5260.00%1934182451.21%824172747.71%689134951.07%169393616897701465727
21Senators2110000011921010000035-21100000084420.5001120310092115116116081894588346501722315240.00%11281.82%0934182451.21%824172747.71%689134951.07%169393616897701465727
22Sound Tigers42200000161333120000010911100000064240.500162844009211511611131818945883461275430748337.50%15286.67%0934182451.21%824172747.71%689134951.07%169393616897701465727
23Thunderbirds3120000013112211000009631010000045-120.3331320330092115116119881894588346942544599222.22%21385.71%0934182451.21%824172747.71%689134951.07%169393616897701465727
24Wolfpack302000011013-31010000034-12010000179-210.16710152500921151161192818945883469636227516212.50%11281.82%0934182451.21%824172747.71%689134951.07%169393616897701465727
25Wolves302000011219-7201000011013-31010000026-410.1671220320092115116111228189458834611129176710110.00%6266.67%0934182451.21%824172747.71%689134951.07%169393616897701465727
Total80313702244329320940122001223157161-44019170102117215913800.500329547876519211511611266581894588346249485159516793437822.74%2876178.75%3934182451.21%824172747.71%689134951.07%169393616897701465727
_Since Last GM Reset80313702244329320940122001223157161-44019170102117215913800.500329547876519211511611266581894588346249485159516793437822.74%2876178.75%3934182451.21%824172747.71%689134951.07%169393616897701465727
_Vs Conference49202102033199191825911010221059411241110010119497-3530.541199324523109211511611164781894588346152651538410272155525.58%1853780.00%2934182451.21%824172747.71%689134951.07%169393616897701465727
_Vs Division19124020108465199620100045271810620101039381300.78984135219009211511611636818945883465592031714001093027.52%821779.27%1934182451.21%824172747.71%689134951.07%169393616897701465727

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8080L132954787626652494851595167951
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8031372244329320
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4012201223157161
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4019171021172159
Derniers 10 matchs
WLOTWOTL SOWSOL
261010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3437822.74%2876178.75%3
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
818945883469211511611
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
934182451.21%824172747.71%689134951.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
169393616897701465727


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 - 2021-11-304Punishers3Little Stars5BWR1Sommaire du match
4 - 2021-12-0317Little Stars1Rampage4ALSommaire du match
8 - 2021-12-0736Marlies4Little Stars2BLSommaire du match
9 - 2021-12-0839Little Stars2Punishers1AWR1Sommaire du match
13 - 2021-12-1260Comets1Little Stars5BWSommaire du match
16 - 2021-12-1574Little Stars3Crunch2AWSommaire du match
19 - 2021-12-1889Rampage2Little Stars3BWXR1Sommaire du match
21 - 2021-12-20101Little Stars4Comets3AWXXSommaire du match
24 - 2021-12-23115Sound Tigers4Little Stars8BWSommaire du match
26 - 2021-12-25125Little Stars6Rampage4AWR1Sommaire du match
28 - 2021-12-27140Bears4Little Stars5BWSommaire du match
30 - 2021-12-29152Little Stars5Moose2AWSommaire du match
32 - 2021-12-31163Comets4Little Stars2BLR1Sommaire du match
35 - 2022-01-03178Little Stars3Marlies5ALSommaire du match
37 - 2022-01-05187Little Stars2Eagles3ALSommaire du match
39 - 2022-01-07199Wolves7Little Stars5BLSommaire du match
41 - 2022-01-09214Little Stars4Eagles2AWSommaire du match
43 - 2022-01-11226Griffins5Little Stars4BLXXSommaire du match
45 - 2022-01-13234Little Stars8Heat4AWSommaire du match
47 - 2022-01-15247Penguins5Little Stars4BLXXSommaire du match
51 - 2022-01-19271Penguins4Little Stars2BLSommaire du match
53 - 2022-01-21278Little Stars7Monsters5AWSommaire du match
56 - 2022-01-24294Little Stars2Wolves6ALSommaire du match
57 - 2022-01-25301Marlies5Little Stars2BLSommaire du match
61 - 2022-01-29319Little Stars7Admirals0AWSommaire du match
62 - 2022-01-30329Condors6Little Stars5BLXSommaire du match
66 - 2022-02-03347Little Stars5Bears7ALSommaire du match
67 - 2022-02-04354Wolfpack4Little Stars3BLSommaire du match
70 - 2022-02-07373Little Stars7Icehogs2AWSommaire du match
72 - 2022-02-09382Comets7Little Stars1BLR1Sommaire du match
74 - 2022-02-11394Little Stars3Barracuda4ALSommaire du match
76 - 2022-02-13404Bears3Little Stars4BWXXSommaire du match
79 - 2022-02-16422Little Stars8Senators4AWSommaire du match
81 - 2022-02-18430Little Stars2Reign7ALSommaire du match
83 - 2022-02-20435Senators5Little Stars3BLSommaire du match
87 - 2022-02-24455Rocket6Little Stars5BLXSommaire du match
90 - 2022-02-27473Little Stars7Crunch1AWSommaire du match
92 - 2022-03-01483Little Stars3Rampage2AWR1Sommaire du match
93 - 2022-03-02487Phantoms6Little Stars5BLSommaire du match
96 - 2022-03-05508Barracuda2Little Stars7BWSommaire du match
98 - 2022-03-07513Little Stars6Sound Tigers4AWSommaire du match
100 - 2022-03-09523Little Stars3Condors5ALSommaire du match
102 - 2022-03-11532Little Stars3Rampage2AWR1Sommaire du match
104 - 2022-03-13541Admirals3Little Stars2BLSommaire du match
108 - 2022-03-17562Little Stars2Penguins4ALSommaire du match
110 - 2022-03-19568Devils5Little Stars3BLSommaire du match
113 - 2022-03-22586Little Stars6Punishers4AWR1Sommaire du match
115 - 2022-03-24591Little Stars3Wolfpack4ALXXSommaire du match
116 - 2022-03-25597Wolves6Little Stars5BLXXSommaire du match
120 - 2022-03-29618Eagles1Little Stars2BWXXSommaire du match
122 - 2022-03-31630Little Stars4Thunderbirds5ALSommaire du match
125 - 2022-04-03646Heat3Little Stars2BLSommaire du match
128 - 2022-04-06664Little Stars6Punishers4AWR1Sommaire du match
129 - 2022-04-07672Moose2Little Stars4BWSommaire du match
131 - 2022-04-09685Little Stars5Griffins2AWSommaire du match
133 - 2022-04-11696Rampage3Little Stars9BWR1Sommaire du match
136 - 2022-04-14709Little Stars2Rocket4ALSommaire du match
138 - 2022-04-16721Icehogs1Little Stars3BWSommaire du match
140 - 2022-04-18734Little Stars4Crunch6ALSommaire du match
142 - 2022-04-20748Eagles8Little Stars5BLSommaire du match
146 - 2022-04-24768Little Stars1Marlies4ALSommaire du match
148 - 2022-04-26778Marlies8Little Stars2BLSommaire du match
151 - 2022-04-29798Rampage2Little Stars5BWR1Sommaire du match
153 - 2022-05-01803Little Stars5Phantoms1AWSommaire du match
156 - 2022-05-04823Monsters6Little Stars3BLSommaire du match
157 - 2022-05-05830Little Stars4Wolfpack5ALSommaire du match
160 - 2022-05-08851Punishers1Little Stars8BWR1Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2022-05-10856Little Stars6Devils2AWSommaire du match
165 - 2022-05-13876Crunch5Little Stars3BLSommaire du match
166 - 2022-05-14882Little Stars3Devils8ALSommaire du match
171 - 2022-05-19904Punishers4Little Stars7BWR1Sommaire du match
176 - 2022-05-24927Reign5Little Stars3BLSommaire du match
177 - 2022-05-25934Little Stars5Moose7ALSommaire du match
179 - 2022-05-27945Little Stars2Comets9ALR1Sommaire du match
181 - 2022-05-29954Little Stars7Moose6AWXXSommaire du match
183 - 2022-05-31960Sound Tigers3Little Stars1BLSommaire du match
186 - 2022-06-03979Little Stars6Comets5AWXR1Sommaire du match
188 - 2022-06-05987Sound Tigers2Little Stars1BLSommaire du match
193 - 2022-06-101013Thunderbirds1Little Stars5BWSommaire du match
199 - 2022-06-161036Thunderbirds5Little Stars4BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,77337,174
Assistance PCT93.47%92.94%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2799 - 93.29% 83,335$3,333,399$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,026,478$ 2,775,000$ 2,357,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,875$ 2,017,728$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 18,875$ 0$




Little Stars 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

Little Stars 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

Little Stars 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

Little Stars 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

Little Stars 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