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Connexion

Checkers
GP: 57 | W: 23 | L: 31 | OTL: 3 | P: 49
GF: 214 | GA: 242 | PP%: 23.08% | PK%: 81.62%
DG: Jean-Francois Chouinard | Morale : 31 | Moyenne d’équipe : 63
Prochains matchs #761 vs Icehogs

Centre de jeu
Checkers
23-31-3, 49pts
8
3 Wolfpack
28-23-7, 63pts
Team Stats
L1SéquenceL2
12-15-2Fiche domicile15-11-3
11-16-1Fiche domicile13-12-4
3-7-0Derniers 10 matchs5-4-1
3.75Buts par match 3.97
4.25Buts contre par match 4.43
23.08%Pourcentage en avantage numérique19.20%
81.62%Pourcentage en désavantage numérique78.19%
Checkers
23-31-3, 49pts
2
4 Firebirds
33-19-4, 70pts
Team Stats
L1SéquenceW2
12-15-2Fiche domicile15-11-4
11-16-1Fiche domicile18-8-0
3-7-0Derniers 10 matchs6-3-1
3.75Buts par match 4.52
4.25Buts contre par match 3.80
23.08%Pourcentage en avantage numérique25.96%
81.62%Pourcentage en désavantage numérique79.33%
Icehogs
31-23-4, 66pts
Jour 121
Checkers
23-31-3, 49pts
Statistiques d’équipe
L2SéquenceL1
18-9-2Fiche domicile12-15-2
13-14-2Fiche visiteur11-16-1
2-8-010 derniers matchs3-7-0
4.14Buts par match 3.75
4.05Buts contre par match 3.75
26.80%Pourcentage en avantage numérique23.08%
72.97%Pourcentage en désavantage numérique81.62%
Checkers
23-31-3, 49pts
Jour 123
Penguins
27-29-4, 58pts
Statistiques d’équipe
L1SéquenceL1
12-15-2Fiche domicile11-16-2
11-16-1Fiche visiteur16-13-2
3-7-010 derniers matchs5-4-1
3.75Buts par match 3.97
4.25Buts contre par match 3.97
23.08%Pourcentage en avantage numérique20.00%
81.62%Pourcentage en désavantage numérique77.83%
Admirals
27-26-6, 60pts
Jour 125
Checkers
23-31-3, 49pts
Statistiques d’équipe
L1SéquenceL1
14-11-4Fiche domicile12-15-2
13-15-2Fiche visiteur11-16-1
2-7-110 derniers matchs3-7-0
4.31Buts par match 3.75
4.53Buts contre par match 3.75
24.19%Pourcentage en avantage numérique23.08%
77.39%Pourcentage en désavantage numérique81.62%
Meneurs d'équipe
Buts
Dylan Gambrell
36
Passes
Dylan Gambrell
57
Points
Dylan Gambrell
93
Plus/Moins
Brendan Leipsic
4
Victoires
Joseph Woll
15
Pourcentage d’arrêts
Arvid Soderblom
0.881

Statistiques d’équipe
Buts pour
214
3.75 GFG
Tirs pour
1815
31.84 Avg
Pourcentage en avantage numérique
23.1%
51 GF
Début de zone offensive
35.8%
Buts contre
242
4.25 GAA
Tirs contre
1832
32.14 Avg
Pourcentage en désavantage numérique
81.6%%
43 GA
Début de la zone défensive
36.7%
Informations de l'équipe

Directeur généralJean-Francois Chouinard
EntraîneurPavel Bure
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2Dylan Gambrell


Informations de l’aréna

Capacité3,000
Assistance2,754
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 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
1Eetu Luostarinen (R)X100.0066319575728782727381727668634854507302231,250,000$
2Dylan Gambrell (R) (A)X100.007033807274757374808576606961504535720242750,000$
3Nick PaulX100.007049837177737470717777647357503326710252700,000$
4Austin Poganski (R)X100.007045787574637672657073666655503347690241600,000$
5Brendan LeipsicX100.005733737370717172777776626753563135690261750,000$
6Nick Abruzzese (R)X100.006738797963645879707669567651466045680211500,000$
7Kieffer Bellows (R)X100.006824856576727470726877547447484945670221550,000$
8Rafael Harvey-Pinard (R)X100.007448867776696765637165557745464945670211500,000$
9Tyce Thompson (R)X100.006838836270706866716463536244475845630211500,000$
10Logan Barlage (R)X100.006327664871545966735779425945455721600203600,000$
11Maxim Marushev (R)X100.004435817757656057686743584445465835590213400,000$
12Nathan Legare (R)X100.006744586166496361546264504641416332580191500,000$
13Timothy Liljegren (R)X100.0066268582717281825087747461654459557402131,350,000$
14Viktor BaldayevX100.007549757575657273527161805957543545720251800,000$
15Alexander Romanov (R)X100.008251697578825959437663715447446236710204650,000$
16Jordan Harris (R)X100.006135777061706070566353666143446320630203600,000$
17Joni Jurmo (R)X100.004426746741475776317754573240407135570184950,000$
18Matias Rajaniemi (R)X100.005519724763605348276233713440406545560184600,000$
Rayé
1Brett Pollock (R)X100.006135786765696365626858695546463219640242500,000$
2William Dufour (R)X100.004922706541524965545659466440406820550183600,000$
3Mikhail Abramov (R)X100.004735606041605060606357415041416518540191500,000$
4Jeremias Lindewall (R)X100.005934715260545457655163294940407821530184800,000$
5Lukas Svejkovsky (R)X100.004123684648584853726150373940406818500182500,000$
6Kirill Steklov (R)X100.005022735662556050255339653440407020550184750,000$
7Mattias Norlinder (R)X100.004236716347425767286451574143425218550201500,000$
MOYENNE D’ÉQUIPE100.00613476666464646658686258574845553363
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
1Joseph Woll100.00746982655782796061827251465858680224750,000$
2Arvid Soderblom99.00656880586069756164796648465859660213600,000$
Rayé
1Kirill Ustimenko100.00466254506352546073493546454720570211500,000$
MOYENNE D’ÉQUIPE99.6762667258606869606670584846544664
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pavel Bure54607666334563RUS501800,000$


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
1Dylan GambrellCheckers (Flo)C57365793-11801061372207214016.36%37129022.65821293019623542003153.68%19003421011.4400000666
2Eetu LuostarinenCheckers (Flo)LW56304676-50089671946212815.46%31128823.01516212218932592084048.85%1314935101.1834000193
3Nick AbruzzeseCheckers (Flo)C57283765152089721996511314.07%1794516.586713271551015393045.92%6012913001.3813000420
4Austin PoganskiCheckers (Flo)RW5325295434557564141358717.73%30109620.6877141917410181341254.29%1052513000.9900001342
5Brendan LeipsicCheckers (Flo)LW57252954438081711745611514.37%27101317.7961016141420002882050.00%743313001.0700000242
6Kieffer BellowsCheckers (Flo)RW57111627-11120585176234314.47%1891916.1425710166000040150.00%5499000.5901000101
7Viktor BaldayevCheckers (Flo)D5771825-14520961168435278.33%72130122.83459131640221198000%02245000.3800000110
8Timothy LiljegrenCheckers (Flo)D15618241100192150211712.00%2039126.12336948011033200%01223001.2300000203
9Rafael Harvey-PinardCheckers (Flo)LW5791423-1220735110130548.91%1973412.89123692000010134.48%291514000.6313000011
10Ryan PulockPanthersD4551621-172062787636386.58%58108424.1125741740114148200%02438000.3913000022
11Nick PaulCheckers (Flo)LW178917480232144131918.18%628917.053257400001281058.33%2439001.1701000002
12Joni JurmoCheckers (Flo)D5731215016016515115205.88%4285915.082245119011166000%01028000.3500000000
13Alexander RomanovCheckers (Flo)D5401212-13955109966316320%72118721.980111410114146000%02342000.2000001000
14Tyce ThompsonCheckers (Flo)RW576511-1540593851173211.76%1464611.34011215000003056.25%16513000.3400000001
15Maxim MarushevCheckers (Flo)C54268-212015434411304.55%144718.73011070001350151.41%17765000.3400000000
16Nathan LegareCheckers (Flo)RW48257-1524047192711157.41%83707.710000000000100%412000.3800000100
17Matias RajaniemiCheckers (Flo)D57156012031663013153.33%4779013.87000060002122000%0026000.1500000000
18Logan BarlageCheckers (Flo)C26213-122152611186611.11%72399.2000000000030049.51%10321000.2500000000
19Brett PollockCheckers (Flo)LW11112-3009984812.50%5756.85000000000400100.00%122000.5300000001
20Mikhail AbramovCheckers (Flo)C9022200112020%1353.9400001011030071.43%700001.1300000000
21William DufourCheckers (Flo)RW18101-6603744725.00%01065.9100002000000050.00%231000.1900000000
22Jeremias LindewallCheckers (Flo)LW37011-15803079390%22707.30000060000230066.67%322000.0700000000
23Jordan HarrisCheckers (Flo)D22011-480293013960%1839017.73000233000038000%0314000.0500000000
24Kirill SteklovCheckers (Flo)D8000-200381010%3587.290000000001000%00200000000000
25Lukas SvejkovskyCheckers (Flo)RW4000000000000%000.220000000000000%00000000000000
26Mattias NorlinderCheckers (Flo)D6000-300143000%1274.610000000001000%00100000000000
Statistiques d’équipe totales ou en moyenne996208340548-1544351511501139168355796412.36%5691588515.95498813717117827121942153322651.53%3231312372110.69615002212924
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
1Joseph WollCheckers (Flo)41152120.8674.312201411581189591440.50044017100
2Arvid SoderblomCheckers (Flo)2581010.8813.7112280076637357220.60051740000
Statistiques d’équipe totales ou en moyenne66233130.8724.0934294123418269486695757100


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexander RomanovCheckers (Flo)D202000-01-01RUSYes215 Lbs6 ft1NoNoFree Agent2025-03-12NoNo42025-08-28FalseFalsePro & Farm650,000$188,462$0$0$No950,000$1,750,000$3,000,000$------950,000$1,750,000$3,000,000$------NoNoNo------Lien
Arvid SoderblomCheckers (Flo)G211999-01-01SWENo180 Lbs6 ft3NoNoTrade2024-12-30NoNo32024-08-21FalseFalsePro & Farm600,000$173,964$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Austin PoganskiCheckers (Flo)RW241996-01-01USAYes198 Lbs5 ft11NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm600,000$173,964$0$0$No---------------------------Lien
Brendan LeipsicCheckers (Flo)LW261994-01-01CANNo165 Lbs5 ft8NoNoFree Agent2025-03-07NoNo12025-08-28FalseFalsePro & Farm750,000$217,456$0$0$No---------------------------Lien
Brett PollockCheckers (Flo)LW241996-01-01CANYes195 Lbs6 ft3NoNoFree AgentNoNo22025-08-28FalseFalsePro & Farm500,000$144,970$0$0$No700,000$--------700,000$--------No--------Lien
Dylan GambrellCheckers (Flo)C241996-01-01USAYes194 Lbs6 ft0NoNoFree AgentNoNo22025-08-28FalseFalsePro & Farm750,000$217,456$0$0$No950,000$--------950,000$--------No--------Lien
Eetu LuostarinenCheckers (Flo)LW221998-01-01FINYes190 Lbs6 ft3NoNoTrade2026-01-18NoNo32024-09-07FalseFalsePro & Farm1,250,000$362,426$0$0$No2,000,000$2,500,000$-------900,000$900,000$-------NoNo-------Lien
Jeremias LindewallCheckers (Flo)LW182002-01-01SWEYes183 Lbs6 ft2NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm800,000$231,953$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Joni JurmoCheckers (Flo)D182002-01-01FINYes190 Lbs6 ft4NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm950,000$275,444$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------
Jordan HarrisCheckers (Flo)D202000-01-01USAYes189 Lbs5 ft11NoNoFree Agent2024-09-17NoNo32025-08-28FalseFalsePro & Farm600,000$173,964$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Joseph WollCheckers (Flo)G221998-01-01USANo203 Lbs6 ft3NoNoFree AgentNoNo42025-08-28FalseFalsePro & Farm750,000$217,456$0$0$No950,000$1,100,000$1,600,000$------950,000$1,100,000$1,600,000$------NoNoNo------Lien
Kieffer BellowsCheckers (Flo)RW221998-01-01USAYes194 Lbs6 ft1NoNoTrade2024-12-30NoNo1FalseFalsePro & Farm550,000$159,467$0$0$No---------------------------Lien
Kirill SteklovCheckers (Flo)D182002-01-01ESTYes190 Lbs6 ft4NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm750,000$217,456$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
Kirill UstimenkoCheckers (Flo)G211999-01-01BLRNo203 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Logan BarlageCheckers (Flo)C202000-01-01CANYes201 Lbs6 ft4NoNoFree AgentNoNo32025-10-23FalseFalsePro & Farm600,000$173,964$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Lukas SvejkovskyCheckers (Flo)RW182002-01-01USAYes165 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Matias RajaniemiCheckers (Flo)D182002-01-01FINYes205 Lbs6 ft4NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm600,000$173,964$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------
Mattias NorlinderCheckers (Flo)D202000-01-01SWEYes192 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Maxim MarushevCheckers (Flo)C211999-01-01RUSYes196 Lbs6 ft0NoNoFree AgentNoNo32025-10-23FalseFalsePro & Farm400,000$115,976$0$0$No400,000$400,000$-------400,000$400,000$-------NoNo-------
Mikhail AbramovCheckers (Flo)C192001-01-01RUSYes170 Lbs5 ft11NoNoTrade2025-08-19NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Nathan LegareCheckers (Flo)RW192001-01-01CANYes205 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Nick AbruzzeseCheckers (Flo)C211999-01-01USAYes181 Lbs5 ft11NoNoTrade2024-09-17NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Nick PaulCheckers (Flo)LW251995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo22026-01-22FalseFalsePro & Farm700,000$202,959$0$0$No700,000$--------700,000$--------No--------Lien
Rafael Harvey-PinardCheckers (Flo)LW211999-01-01CANYes183 Lbs6 ft0NoNoTrade2025-04-10NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Timothy LiljegrenCheckers (Flo)D211999-01-01SWEYes192 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm1,350,000$391,420$0$0$No3,000,000$4,000,000$-------950,000$950,000$-------NoNo-------Lien
Tyce ThompsonCheckers (Flo)RW211999-01-01CANYes174 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Viktor BaldayevCheckers (Flo)D251995-01-01RUSNo185 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm800,000$231,953$0$0$No---------------------------Lien
William DufourCheckers (Flo)RW182002-01-01CANYes183 Lbs5 ft10NoNoFree AgentNoNo32025-10-23FalseFalsePro & Farm600,000$173,964$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2820.96190 Lbs6 ft12.29662,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eetu LuostarinenDylan GambrellAustin Poganski40122
2Nick PaulNick AbruzzeseKieffer Bellows30122
3Brendan LeipsicLogan BarlageTyce Thompson20122
4Rafael Harvey-PinardMaxim MarushevNathan Legare10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenViktor Baldayev40122
2Alexander RomanovJordan Harris30122
3Joni JurmoMatias Rajaniemi20122
4Timothy LiljegrenViktor Baldayev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eetu LuostarinenDylan GambrellAustin Poganski60122
2Nick PaulNick AbruzzeseKieffer Bellows40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenViktor Baldayev60122
2Alexander RomanovJordan Harris40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellEetu Luostarinen60122
2Nick AbruzzeseNick Paul40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenViktor Baldayev60122
2Alexander RomanovJordan Harris40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dylan Gambrell60122Timothy LiljegrenViktor Baldayev60122
2Nick Abruzzese40122Alexander RomanovJordan Harris40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellEetu Luostarinen60122
2Nick AbruzzeseNick Paul40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenViktor Baldayev60122
2Alexander RomanovJordan Harris40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eetu LuostarinenDylan GambrellAustin PoganskiTimothy LiljegrenViktor Baldayev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eetu LuostarinenDylan GambrellAustin PoganskiTimothy LiljegrenViktor Baldayev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Leipsic, Nick Abruzzese, Kieffer BellowsBrendan Leipsic, Nick AbruzzeseBrendan Leipsic
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Harris, Joni Jurmo, Matias RajaniemiJordan HarrisJordan Harris, Joni Jurmo
Tirs de pénalité
Eetu Luostarinen, Dylan Gambrell, Nick Paul, Austin Poganski, Brendan Leipsic
Gardien
#1 : Arvid Soderblom, #2 : Joseph Woll
Lignes d’attaque personnalisées en prolongation
Eetu Luostarinen, Dylan Gambrell, Nick Paul, Austin Poganski, Brendan Leipsic, Nick Abruzzese, Kieffer Bellows, Rafael Harvey-Pinard, Tyce Thompson, Logan Barlage
Lignes de défense personnalisées en prolongation
Timothy Liljegren, Viktor Baldayev, Alexander Romanov, Jordan Harris, Joni Jurmo


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
1Admirals11000000862000000000001100000086221.0008132100617278540563664579193712823200.00%4250.00%1619121750.86%655124852.48%49693253.22%120566612095321022507
2Americans20200000810-220200000810-20000000000000.0008142200617278578563664579195832224911218.18%11372.73%0619121750.86%655124852.48%49693253.22%120566612095321022507
3Barracuda312000001314-1211000008711010000057-220.33313223510617278510856366457919992432689222.22%16568.75%0619121750.86%655124852.48%49693253.22%120566612095321022507
4Bears21000001651210000016510000000000030.750610160061727857056366457919592110435120.00%50100.00%1619121750.86%655124852.48%49693253.22%120566612095321022507
5Canucks211000007611010000035-21100000041320.5007101710617278579563664579195521646900.00%30100.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
6Comets2020000059-4000000000002020000059-400.00057120061727856156366457919682318415360.00%9188.89%0619121750.86%655124852.48%49693253.22%120566612095321022507
7Condors412010001417-31100000053230201000914-540.5001424380061727851145636645791914950367410220.00%19384.21%0619121750.86%655124852.48%49693253.22%120566612095321022507
8Crunch11000000422000000000001100000042221.000459006172785215636645791929914167114.29%70100.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
9Eagles422000001716111000000532312000001213-140.5001728451061727851135636645791911436408121628.57%21671.43%1619121750.86%655124852.48%49693253.22%120566612095321022507
10Firebirds40400000916-72020000047-32020000059-400.00091423006172785123563664579191293522921119.09%110100.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
11Griffins1010000027-5000000000001010000027-500.0002460061727853156366457919321112125120.00%6266.67%0619121750.86%655124852.48%49693253.22%120566612095321022507
12Gulls623001002530-53110010013121312000001218-650.41725436820617278520556366457919181875412429517.24%27581.48%3619121750.86%655124852.48%49693253.22%120566612095321022507
13Icehogs1010000034-1000000000001010000034-100.00036900617278536563664579193974253133.33%20100.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
14Islander11000000101110000001010000000000021.000123016172785255636645791935111023300.00%50100.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
15Little Stars2110000011101110000006421010000056-120.500112031006172785805636645791965238478225.00%40100.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
16Marlies20200000713-620200000713-60000000000000.00071118006172785675636645791974256439222.22%3166.67%0619121750.86%655124852.48%49693253.22%120566612095321022507
17Moose2010000159-41010000025-31000000134-110.25059140061727856356366457919751510447228.57%5340.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
18Penguins5410000023176321000001212022000000115680.80023396200617278515556366457919139515911822836.36%24579.17%2619121750.86%655124852.48%49693253.22%120566612095321022507
19Punishers1010000013-21010000013-20000000000000.000112006172785305636645791928810193133.33%50100.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
20Roadrunners21100000990110000005321010000046-220.50091423006172785495636645791983191843200.00%9188.89%0619121750.86%655124852.48%49693253.22%120566612095321022507
21Rockets2010001078-11010000013-21000001065120.50071118106172785735636645791966208419111.11%4175.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
22Senators11000000532110000005320000000000021.00058130061727851956366457919351010215360.00%5180.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
23Thunderbirds2020000039-61010000024-21010000015-400.0003470061727855856366457919551820525120.00%10190.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
24Wolfpack311010001516-11010000029-721001000137640.667152338006172785895636645791910334425715320.00%16381.25%3619121750.86%655124852.48%49693253.22%120566612095321022507
25Wranglers11000000633110000006330000000000021.000681400617278528563664579192536246350.00%30100.00%0619121750.86%655124852.48%49693253.22%120566612095321022507
Total57203102112214242-2829121500101102114-122881602011112128-16490.430214350564616172785181556366457919183260548512262215123.08%2344381.62%11619121750.86%655124852.48%49693253.22%120566612095321022507
_Since Last GM Reset57203102112214242-2829121500101102114-122881602011112128-16490.430214350564616172785181556366457919183260548512262215123.08%2344381.62%11619121750.86%655124852.48%49693253.22%120566612095321022507
_Vs Conference34121901110133151-181669001005869-1118610010107582-7290.42613321534850617278510745636645791910593583137171483624.32%1472980.27%9619121750.86%655124852.48%49693253.22%120566612095321022507
_Vs Division1568001005763-6834001002931-2734000002832-4130.433579615320617278548356366457919449173135334621422.58%621083.87%5619121750.86%655124852.48%49693253.22%120566612095321022507

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5749L121435056418151832605485122661
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5720312112214242
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2912150101102114
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
288162011112128
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2215123.08%2344381.62%11
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
563664579196172785
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
619121750.86%655124852.48%49693253.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
120566612095321022507


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
16Condors3Checkers5WSommaire du match
215Checkers1Gulls8LSommaire du match
530Checkers3Firebirds5LSommaire du match
746Checkers4Eagles5LSommaire du match
852Penguins7Checkers2LSommaire du match
1067Firebirds4Checkers2LSommaire du match
1277Checkers5Condors4WXSommaire du match
1493Gulls2Checkers6WSommaire du match
18115Gulls5Checkers3LSommaire du match
19122Checkers6Penguins3WSommaire du match
22139Bears3Checkers2LXXSommaire du match
24154Checkers3Eagles5LSommaire du match
26164Americans4Checkers3LSommaire du match
29184Penguins2Checkers5WSommaire du match
31189Checkers5Wolfpack4WXSommaire du match
34206Checkers3Gulls5LSommaire du match
36218Eagles3Checkers5WSommaire du match
38233Checkers3Moose4LXXSommaire du match
39241Canucks5Checkers3LSommaire du match
44266Little Stars4Checkers6WSommaire du match
45276Checkers5Little Stars6LSommaire du match
47290Americans6Checkers5LSommaire du match
50304Checkers8Gulls5WSommaire du match
52317Moose5Checkers2LSommaire du match
54331Checkers5Eagles3WSommaire du match
56344Islander0Checkers1WSommaire du match
57353Checkers6Rockets5WXXSommaire du match
60369Firebirds3Checkers2LSommaire du match
62384Checkers5Barracuda7LSommaire du match
64396Punishers3Checkers1LSommaire du match
66411Checkers4Roadrunners6LSommaire du match
67421Checkers3Icehogs4LSommaire du match
68428Roadrunners3Checkers5WSommaire du match
71444Checkers2Comets5LSommaire du match
72453Senators3Checkers5WSommaire du match
75472Checkers3Condors5LSommaire du match
77481Penguins3Checkers5WSommaire du match
79497Checkers1Thunderbirds5LSommaire du match
81506Thunderbirds4Checkers2LSommaire du match
83519Checkers4Canucks1WSommaire du match
85531Wranglers3Checkers6WSommaire du match
87548Checkers2Griffins7LSommaire du match
88556Bears2Checkers4WSommaire du match
91572Checkers3Comets4LSommaire du match
92581Barracuda3Checkers5WSommaire du match
96603Checkers4Crunch2WSommaire du match
97609Gulls5Checkers4LXSommaire du match
100631Wolfpack9Checkers2LSommaire du match
103651Checkers1Condors5LSommaire du match
104657Barracuda4Checkers3LSommaire du match
107675Checkers8Admirals6WSommaire du match
108682Marlies8Checkers5LSommaire du match
111700Checkers5Penguins2WSommaire du match
112709Marlies5Checkers2LSommaire du match
116732Rockets3Checkers1LSommaire du match
118741Checkers8Wolfpack3WSommaire du match
120756Checkers2Firebirds4LSommaire du match
121761Icehogs-Checkers-
123777Checkers-Penguins-
125785Admirals-Checkers-
127801Checkers-Islander-
129811Icehogs-Checkers-
131823Checkers-Marlies-
133838Rockets-Checkers-
135851Checkers-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
138863Checkers-Bears-
139871Condors-Checkers-
142892Griffins-Checkers-
143902Checkers-Islander-
145911Checkers-Firebirds-
147921Comets-Checkers-
149938Griffins-Checkers-
151949Checkers-Americans-
152951Checkers-Punishers-
155969Crunch-Checkers-
156979Checkers-Wranglers-
160998Firebirds-Checkers-
1631013Checkers-Wranglers-
1641023Checkers-Senators-
1661031Crunch-Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance53,06826,793
Assistance PCT91.50%92.39%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2754 - 91.79% 173,304$5,025,803$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,088,384$ 3,070,000$ 3,070,000$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
18,166$ 1,520,325$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,906,339$ 49 22,899$ 1,122,051$




Checkers Leaders statistiques des joueurs (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

Checkers 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

Checkers 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

Checkers Leaders statistiques des joueurs (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

Checkers 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