Connexion

Checkers
GP: 19 | W: 7 | L: 10 | OTL: 2 | P: 16
GF: 54 | GA: 66 | PP%: 17.11% | PK%: 78.48%
DG: Mario Lemire | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #309 vs Phantoms
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Centre de jeu
Checkers
7-10-2, 16pts
2
FINAL
6 Eagles
11-8-1, 23pts
Team Stats
L2StreakL1
3-5-1Home Record5-4-0
4-5-1Away Record6-4-1
3-7-0Last 10 Games6-3-1
2.84Buts par match 3.85
3.47Buts contre par match 3.95
17.11%Pourcentage en avantage numérique18.42%
78.48%Pourcentage en désavantage numérique73.91%
Checkers
7-10-2, 16pts
3
FINAL
4 Monsters
9-7-2, 20pts
Team Stats
L2StreakW1
3-5-1Home Record6-4-0
4-5-1Away Record3-3-2
3-7-0Last 10 Games5-4-1
2.84Buts par match 3.78
3.47Buts contre par match 3.89
17.11%Pourcentage en avantage numérique18.33%
78.48%Pourcentage en désavantage numérique71.93%
Phantoms
9-8-1, 19pts
2022-11-29
Checkers
7-10-2, 16pts
Statistiques d’équipe
L1SéquenceL2
4-5-1Fiche domicile3-5-1
5-3-0Fiche visiteur4-5-1
6-4-010 derniers matchs3-7-0
3.39Buts par match 2.84
3.28Buts contre par match 3.47
15.49%Pourcentage en avantage numérique17.11%
72.55%Pourcentage en désavantage numérique78.48%
Checkers
7-10-2, 16pts
2022-12-02
Condors
9-8-1, 19pts
Statistiques d’équipe
L2SéquenceL1
3-5-1Fiche domicile5-4-1
4-5-1Fiche visiteur4-4-0
3-7-010 derniers matchs4-6-0
2.84Buts par match 3.06
3.47Buts contre par match 2.61
17.11%Pourcentage en avantage numérique19.44%
78.48%Pourcentage en désavantage numérique84.21%
Rockets
15-4-1, 31pts
2022-12-03
Checkers
7-10-2, 16pts
Statistiques d’équipe
W2SéquenceL2
8-1-0Fiche domicile3-5-1
7-3-1Fiche visiteur4-5-1
7-2-110 derniers matchs3-7-0
4.20Buts par match 2.84
3.15Buts contre par match 3.47
27.50%Pourcentage en avantage numérique17.11%
82.19%Pourcentage en désavantage numérique78.48%
Meneurs d'équipe
Buts
Wyatt Kalynuk
0
Passes
Derrick Pouliot
7
Points
Derrick Pouliot
7
Plus/Moins
Derrick Pouliot
1
Victoires
Collin Delia
4
Pourcentage d’arrêts
Ukko-Pekka Luukkonen
0.905

Statistiques d’équipe
Buts pour
54
2.84 GFG
Tirs pour
655
34.47 Avg
Pourcentage en avantage numérique
17.1%
13 GF
Début de zone offensive
41.8%
Buts contre
66
3.47 GAA
Tirs contre
646
34.00 Avg
Pourcentage en désavantage numérique
78.5%
17 GA
Début de la zone défensive
40.0%
Information d’équipe

Directeur généralMario Lemire
EntraîneurSteve Hartley
DivisionATLANTIQUE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,413
Billets de saison300


Information formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 55
Espoirs17


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
1Anton Blidh0X99.008835766577757364576362706466670507002731,050,000$
2Scott Reedy0X96.00683890678178846370626764656364050700234925,000$
3Justin Kirkland0XX98.00674371648083876157626361626668050690262974,000$
4Dmitrij Jaskin0XX100.00863689638485686459625561667169050690293750,000$
5Daniel Carr0XX100.00673789667275776361656462667868050680314900,000$
6Greg McKegg0XXX100.00673693627377746173606272597172050680303975,000$
7Jonah Gadjovich0X100.00877955618274736057636158626364050680241863,333$
8Mason Shaw0XX100.00703966636887855974625857636566050660244925,000$
9Connor Bunnaman0XX100.00723893567976875778585963566466050660242750,000$
10Joona Koppanen0X100.00793681568869755963585761566466050660242750,000$
11Jacob Perreault (R)0X100.00563978667183796558625759646163050660202894,167$
12Martin Pospisil0XXX100.00664558617682735960635861596365050660234810,000$
13Thomas Hickey0X99.00733792637183726130665768507576050690332750,000$
14Matt Donovan0X100.00693476597873855830635557487274050660322700,000$
15Jeremy Davies0X99.006139836168827762306758615066680506602521,778,000$
16Oskari Laaksonen0X100.00633884607264915330645659456365050640232925,000$
17Max Gildon0X100.00734087568269685530595356466365050630232925,000$
18Michael Anderson (R)0X100.007671897771636749254141613944440506002311,775,000$
Rayé
1Zack Kassian0X95.009087716486798362596663566177720507103122,840,000$
2Michael Eyssimont0XX100.00604175567087835762585960646668050650262750,000$
3Cole Bardreau0XX100.00573693596881745866576258616972050640292700,000$
4Sven Baertschi0X100.006036835870867259635859566071720506403042,017,000$
5Pavel Shen0XX100.00653986567465705861575559566362050630231925,000$
6Cedric Pare (R)0X100.00653993558469715661575854566365050630231750,000$
7Blade Jenkins0XX100.00673795557667735452535658576264050620222803,333$
8Bode Wilde0X91.95633986577977736130565359456164050640221910,883$
MOYENNE D’ÉQUIPE99.1270438261767777595460586057666705066
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
1Ukko-Pekka Luukkonen (R)100.0074838293737274737274736369050760235910,833$
2Joseph Woll100.0074737287737274737274736471050750245800,000$
Rayé
1Mikhail Berdin100.00737677737271737271737264710507402442,333,000$
MOYENNE D’ÉQUIPE100.007477778473727473727473647005075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Hartley75757575757575USA3750$


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
1Scott ReedyCheckers (FLO)C18711186006457522459.33%937120.6412314610002552148.70%53800000.9701000220
2Anton BlidhCheckers (FLO)LW188917320352269285311.59%534619.2513415600001191138.89%5400000.9801000121
3Thomas HickeyCheckers (FLO)D1931215-116051263210259.38%3646324.371341761022259000.00%000000.6500000200
4Greg McKeggCheckers (FLO)C/LW/RW197714-28012237315559.59%633717.7634717611011481044.65%21500010.8300000100
5Zack KassianCheckers (FLO)RW19761363115571852143513.46%538620.3210114611013510053.49%4300000.6701120013
6Justin KirklandCheckers (FLO)C/LW19381112023263817317.89%633817.791569500000500041.18%10200000.6500000000
7Matt DonovanCheckers (FLO)D192810-824042132112199.52%2839020.562241362000154000.00%000000.5100000000
8Jeremy DaviesCheckers (FLO)D19189-212023252816153.57%3846024.251121561011062000.00%000000.3900000000
9Connor BunnamanCheckers (FLO)C/LW19358-69510354711356.38%524813.061011140000020055.17%31900000.6400010000
10Derrick PouliotPanthersD130771201821166130.00%2328321.77022934000147000.00%000000.4900000000
11Max GildonCheckers (FLO)D19167031540413177.69%2728915.2200002000020000.00%000000.4800001100
12Dmitrij JaskinCheckers (FLO)LW/RW19527-11120522643113611.63%028114.84000117000001154.17%2400000.5000000100
13Daniel CarrCheckers (FLO)LW/RW16246-1040918498384.08%225415.931019210000120033.33%1800000.4700000011
14Mason ShawCheckers (FLO)C/LW19224-26016201781611.76%21869.8000000000011049.57%23200000.4300000000
15Oskari LaaksonenCheckers (FLO)D19044-38022171910160.00%2339120.600441157000054000.00%000000.2000000000
16Joona KoppanenCheckers (FLO)C16202-120413192610.53%11046.5600000000001041.27%12600000.3800000000
17Bode WildeCheckers (FLO)D150221001075560.00%1821614.460000200002000.00%000000.1800000001
18Michael AndersonCheckers (FLO)D2011040302000.00%22914.620000000003000.00%000000.6800000000
19Jonah GadjovichCheckers (FLO)LW19101-41804016171145.88%221511.32000010000170035.56%4500000.0900000000
20Martin PospisilCheckers (FLO)C/LW/RW19011-3001616216210.00%21377.2200000000000051.85%2700000.1500000000
21Michael EyssimontCheckers (FLO)C/LW3000000153110.00%0237.80000000000000100.00%100000.0000000000
22Jacob PerreaultCheckers (FLO)RW5000-1001411370.00%05611.240000000000000.00%000000.0000000000
23Wyatt KalynukPanthersD2000-100341330.00%44422.220001400005000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne35554103157-37191254944046712104978.05%244585616.50132639156663235115687347.99%174400010.5403131866
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
1Collin DeliaPanthers124610.9013.3765800373720000.6673114020
2Ukko-Pekka LuukkonenCheckers (FLO)32100.9053.29146008840000.000031001
3Joseph WollCheckers (FLO)71310.8953.5433940201900000.0000514001
Statistiques d’équipe totales ou en moyenne2271020.8993.41114440656460000.66731919022


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 moyenPlafond 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
Anton BlidhCheckers (FLO)LW271995-03-14No197 Lbs6 ft1NoNoNo3Pro & Farm1,050,000$807,258$525,000$0$0$No1,050,000$1,050,000$Lien
Blade JenkinsCheckers (FLO)C/LW222000-08-11No195 Lbs6 ft1NoNoNo2Pro & Farm803,333$617,616$803,333$0$0$No803,333$Lien
Bode WildeCheckers (FLO)D222000-01-24No192 Lbs6 ft2NoNoNo1Pro & Farm910,883$700,302$778,333$0$0$NoLien
Cedric PareCheckers (FLO)C231999-01-24Yes205 Lbs6 ft3NoNoNo1Pro & Farm750,000$576,612$700,000$0$0$No
Cole BardreauCheckers (FLO)C/RW291993-07-22No185 Lbs5 ft10NoNoNo2Pro & Farm700,000$538,172$600,000$0$0$No700,000$Lien
Connor BunnamanCheckers (FLO)C/LW241998-04-16No207 Lbs6 ft1NoNoNo2Pro & Farm750,000$576,612$700,000$0$0$No750,000$Lien
Daniel CarrCheckers (FLO)LW/RW311991-11-01No186 Lbs6 ft0NoNoNo4Pro & Farm900,000$691,935$900,000$0$0$No900,000$900,000$900,000$Lien
Dmitrij JaskinCheckers (FLO)LW/RW291993-03-23No216 Lbs6 ft2NoNoNo3Pro & Farm750,000$576,612$750,000$0$0$No750,000$750,000$Lien
Greg McKeggCheckers (FLO)C/LW/RW301992-06-17No195 Lbs6 ft0NoNoNo3Pro & Farm975,000$749,596$975,000$0$0$No975,000$975,000$Lien
Jacob PerreaultCheckers (FLO)RW202002-04-15Yes192 Lbs5 ft11NoNoNo2Pro & Farm894,167$687,450$600,000$0$0$No894,167$Lien
Jeremy DaviesCheckers (FLO)D251996-12-04No180 Lbs5 ft11NoNoNo2Pro & Farm1,778,000$1,366,956$750,000$0$0$No1,778,000$Lien
Jonah GadjovichCheckers (FLO)LW241998-10-12No209 Lbs6 ft2NoNoNo1Pro & Farm863,333$663,745$783,333$0$0$NoLien
Joona KoppanenCheckers (FLO)C241998-02-25No192 Lbs6 ft5NoNoNo2Pro & Farm750,000$576,612$700,000$0$0$No750,000$Lien
Joseph WollCheckers (FLO)G241998-07-12No203 Lbs6 ft4NoNoNo5Pro & Farm800,000$615,053$800,000$0$0$No925,000$925,000$925,000$925,000$Lien
Justin KirklandCheckers (FLO)C/LW261996-08-02No183 Lbs6 ft3NoNoNo2Pro & Farm974,000$748,827$650,000$0$0$No974,000$Lien
Martin PospisilCheckers (FLO)C/LW/RW231999-11-19No173 Lbs6 ft2NoNoNo4Pro & Farm810,000$622,741$796,668$0$0$No1,119,000$1,119,000$1,119,000$Lien
Mason ShawCheckers (FLO)C/LW241998-11-03No184 Lbs5 ft10NoNoNo4Pro & Farm925,000$711,155$792,500$0$0$No1,229,000$1,229,000$1,229,000$Lien
Matt DonovanCheckers (FLO)D321990-05-09No205 Lbs6 ft1NoNoNo2Pro & Farm700,000$538,172$600,000$0$0$No700,000$Lien
Max GildonCheckers (FLO)D231999-05-17No194 Lbs6 ft3NoNoNo2Pro & Farm925,000$711,155$925,000$0$0$No925,000$Lien
Michael AndersonCheckers (FLO)D231999-05-25Yes196 Lbs6 ft0NoNoNo1Pro & Farm1,775,000$1,364,650$925,001$0$0$NoLien
Michael EyssimontCheckers (FLO)C/LW261996-09-09No180 Lbs6 ft0NoNoNo2Pro & Farm750,000$576,612$700,000$0$0$No750,000$Lien
Mikhail BerdinCheckers (FLO)G241998-03-01No163 Lbs6 ft2NoNoNo4Pro & Farm2,333,000$1,793,650$650,000$0$0$No2,333,000$2,333,000$2,333,000$Lien
Oskari LaaksonenCheckers (FLO)D231999-07-02No172 Lbs6 ft1NoNoNo2Pro & Farm925,000$711,155$925,000$0$0$No925,000$Lien
Pavel ShenCheckers (FLO)C/RW231999-08-14No183 Lbs6 ft1NoNoNo1Pro & Farm925,000$711,155$809,169$0$0$NoLien
Scott ReedyCheckers (FLO)C231999-04-04No205 Lbs6 ft2NoNoNo4Pro & Farm925,000$711,155$925,000$0$0$No856,000$856,000$856,000$Lien
Sven BaertschiCheckers (FLO)LW301992-10-05No190 Lbs5 ft11NoNoNo4Pro & Farm2,017,000$1,550,704$525,000$0$0$No2,017,000$2,017,000$2,017,000$Lien
Thomas HickeyCheckers (FLO)D331989-02-08No185 Lbs6 ft0NoNoNo2Pro & Farm750,000$576,612$750,000$0$0$No750,000$Lien
Ukko-Pekka LuukkonenCheckers (FLO)G231999-03-09Yes217 Lbs6 ft5NoNoNo5Pro & Farm910,833$700,264$778,333$0$0$No946,000$946,000$946,000$946,000$Lien
Zack KassianCheckers (FLO)RW311991-01-24No211 Lbs6 ft3NoNoNo2Pro & Farm2,840,000$2,183,440$650,000$0$0$No2,840,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.55193 Lbs6 ft12.551,074,467$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton BlidhScott ReedyJacob Perreault32014
2Dmitrij JaskinJustin KirklandGreg McKegg28023
3Jonah GadjovichMartin PospisilDaniel Carr26023
4Mason ShawJoona KoppanenAnton Blidh14041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas HickeyJeremy Davies34041
2Matt DonovanOskari Laaksonen34032
3Max GildonMichael Anderson32041
4Thomas HickeyJeremy Davies0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton BlidhScott ReedyJonah Gadjovich50122
2Dmitrij JaskinJustin KirklandGreg McKegg50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas HickeyJeremy Davies50122
2Matt DonovanOskari Laaksonen50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dmitrij JaskinScott Reedy50122
2Anton BlidhJustin Kirkland50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas HickeyJeremy Davies50122
2Matt DonovanOskari Laaksonen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anton Blidh50122Thomas HickeyJeremy Davies50122
2Scott Reedy50122Matt DonovanOskari Laaksonen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Daniel CarrScott Reedy50122
2Anton BlidhJustin Kirkland50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas HickeyJeremy Davies50122
2Matt DonovanOskari Laaksonen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anton BlidhScott ReedyJustin KirklandThomas HickeyJeremy Davies
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anton BlidhScott ReedyJustin KirklandThomas HickeyJeremy Davies
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Jonah Gadjovich, Daniel CarrMason Shaw, Jonah GadjovichDaniel Carr
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Max Gildon, Michael Anderson, Matt DonovanMax GildonMichael Anderson, Matt Donovan
Tirs de pénalité
Daniel Carr, Scott Reedy, Anton Blidh, Justin Kirkland, Dmitrij Jaskin
Gardien
#1 : Joseph Woll, #2 : Ukko-Pekka Luukkonen
Lignes d’attaque personnalisées en prolongation
Mason Shaw, Scott Reedy, Anton Blidh, Justin Kirkland, Dmitrij Jaskin, Jonah Gadjovich, Jonah Gadjovich, Greg McKegg, Daniel Carr, Martin Pospisil, Joona Koppanen
Lignes de défense personnalisées en prolongation
Thomas Hickey, Jeremy Davies, Matt Donovan, Oskari Laaksonen, Max Gildon


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
1Americans21001000945110000005141000100043141.00091625002612151792201902408562719511000.00%7185.71%035872649.31%33469448.13%14531745.74%443299454144250123
2Barracuda11000000321110000003210000000000021.0003690026121513322019024084381526400.00%4175.00%035872649.31%33469448.13%14531745.74%443299454144250123
3Binghamton Senateurs211000009721010000045-11100000052320.500918270026121519122019024086523215513430.77%7185.71%135872649.31%33469448.13%14531745.74%443299454144250123
4Crunch21100000550110000003211010000023-120.5005611002612151712201902408712022607114.29%11190.91%135872649.31%33469448.13%14531745.74%443299454144250123
5Eagles1010000026-4000000000001010000026-400.00023500261215139220190240834151223100.00%60100.00%035872649.31%33469448.13%14531745.74%443299454144250123
6Griffins211000007611010000024-21100000052320.50071320002612151622201902408531714669222.22%60100.00%035872649.31%33469448.13%14531745.74%443299454144250123
7Marlies2110000058-31010000026-41100000032120.500510150026121516822019024085418144810110.00%7271.43%035872649.31%33469448.13%14531745.74%443299454144250123
8Monsters2020000058-31010000024-21010000034-100.0005914002612151602201902408802621384250.00%8187.50%035872649.31%33469448.13%14531745.74%443299454144250123
9Providence Bruins30200001613-71000000134-12020000039-610.1676111700261215197220190240812747396310110.00%15566.67%035872649.31%33469448.13%14531745.74%443299454144250123
10Rockets2010010037-41010000025-31000010012-110.250347002612151552201902408632016468225.00%8537.50%035872649.31%33469448.13%14531745.74%443299454144250123
Total19610011015466-12935000012633-71035011002833-5160.42154961500026121516552201902408646221193476761317.11%791778.48%235872649.31%33469448.13%14531745.74%443299454144250123
_Since Last GM Reset19610011015466-12935000012633-71035011002833-5160.42154961500026121516552201902408646221193476761317.11%791778.48%235872649.31%33469448.13%14531745.74%443299454144250123
_Vs Conference1759011014958-9825000012331-8934011002627-1140.41249871360026121515832201902408569198166427711318.31%691676.81%235872649.31%33469448.13%14531745.74%443299454144250123
_Vs Division1557011014450-6724000012127-68330110023230140.46744781220026121515232201902408489172145389671116.42%611575.41%235872649.31%33469448.13%14531745.74%443299454144250123

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1916L2549615065564622119347600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1961011015466
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
93500012633
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
103511002833
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
761317.11%791778.48%2
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
22019024082612151
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
35872649.31%33469448.13%14531745.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
443299454144250123


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
2 - 2022-10-1711Griffins4Checkers2BLSommaire du match
3 - 2022-10-1821Checkers0Providence Bruins5ALSommaire du match
6 - 2022-10-2144Providence Bruins4Checkers3BLXXSommaire du match
7 - 2022-10-2254Checkers5Binghamton Senateurs2AWSommaire du match
11 - 2022-10-2676Americans1Checkers5BWSommaire du match
12 - 2022-10-2789Checkers4Americans3AWXSommaire du match
16 - 2022-10-31105Crunch2Checkers3BWSommaire du match
19 - 2022-11-03123Checkers1Rockets2ALXSommaire du match
21 - 2022-11-05137Rockets5Checkers2BLSommaire du match
24 - 2022-11-08163Checkers3Providence Bruins4ALSommaire du match
25 - 2022-11-09175Marlies6Checkers2BLSommaire du match
29 - 2022-11-13198Binghamton Senateurs5Checkers4BLSommaire du match
30 - 2022-11-14203Checkers3Marlies2AWSommaire du match
33 - 2022-11-17227Monsters4Checkers2BLSommaire du match
35 - 2022-11-19234Checkers2Crunch3ALSommaire du match
37 - 2022-11-21245Checkers5Griffins2AWSommaire du match
38 - 2022-11-22263Barracuda2Checkers3BWSommaire du match
40 - 2022-11-24286Checkers2Eagles6ALSommaire du match
42 - 2022-11-26290Checkers3Monsters4ALSommaire du match
45 - 2022-11-29309Phantoms-Checkers-
48 - 2022-12-02331Checkers-Condors-
49 - 2022-12-03338Rockets-Checkers-
52 - 2022-12-06361Checkers-Crunch-
53 - 2022-12-07372islanders-Checkers-
58 - 2022-12-12393Checkers-Thunderbirds-
59 - 2022-12-13403Barracuda-Checkers-
63 - 2022-12-17431Gulls-Checkers-
64 - 2022-12-18450Binghamton Senateurs-Checkers-
66 - 2022-12-20465Checkers-Wolves-
69 - 2022-12-23480Checkers-Wolf Pack-
74 - 2022-12-28494Reign-Checkers-
76 - 2022-12-30518Americans-Checkers-
77 - 2022-12-31521Checkers-W-B/Scranton Penguins-
80 - 2023-01-03542Checkers-Iowa Wild-
83 - 2023-01-06556Checkers-Wranglers-
84 - 2023-01-07565Providence Bruins-Checkers-
87 - 2023-01-10586Checkers-Crunch-
88 - 2023-01-11596Griffins-Checkers-
91 - 2023-01-14619Bears-Checkers-
92 - 2023-01-15636Checkers-W-B/Scranton Penguins-
94 - 2023-01-17648Checkers-Eagles-
96 - 2023-01-19662Admirals-Checkers-
99 - 2023-01-22683Checkers-Moose-
100 - 2023-01-23692IceHogs-Checkers-
102 - 2023-01-25716Americans-Checkers-
104 - 2023-01-27733Checkers-islanders-
106 - 2023-01-29743Checkers-Phantoms-
107 - 2023-01-30756Texas Stars-Checkers-
109 - 2023-02-01776Checkers-Griffins-
111 - 2023-02-03786Monsters-Checkers-
115 - 2023-02-07815Griffins-Checkers-
117 - 2023-02-09828Checkers-Comets-
120 - 2023-02-12845Checkers-Silver Knights-
121 - 2023-02-13853Canucks-Checkers-
123 - 2023-02-15875Comets-Checkers-
125 - 2023-02-17879Checkers-Binghamton Senateurs-
128 - 2023-02-20904Checkers-Griffins-
130 - 2023-02-22914Providence Bruins-Checkers-
131 - 2023-02-23933Checkers-Phantoms-
133 - 2023-02-25948Rockets-Checkers-
137 - 2023-03-01967Checkers-Marlies-
138 - 2023-03-02980Roadrunners-Checkers-
143 - 2023-03-071003Crunch-Checkers-
145 - 2023-03-091021Checkers-Rockets-
146 - 2023-03-101031Checkers-Marlies-
148 - 2023-03-121041IceHogs-Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2023-03-141065Binghamton Senateurs-Checkers-
152 - 2023-03-161076Checkers-Wolves-
153 - 2023-03-171084Checkers-Bears-
157 - 2023-03-211102Wolves-Checkers-
160 - 2023-03-241132W-B/Scranton Penguins-Checkers-
162 - 2023-03-261144Checkers-Rockets-
164 - 2023-03-281164Checkers-Americans-
165 - 2023-03-291170Checkers-Binghamton Senateurs-
166 - 2023-03-301179Wolf Pack-Checkers-
170 - 2023-04-031203Marlies-Checkers-
171 - 2023-04-041210Checkers-Providence Bruins-
175 - 2023-04-081238Firebirds-Checkers-
176 - 2023-04-091241Checkers-Providence Bruins-
180 - 2023-04-131269Marlies-Checkers-
182 - 2023-04-151289Crunch-Checkers-
184 - 2023-04-171304Checkers-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance13,1628,552
Assistance PCT73.12%95.02%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2413 - 80.42% 97,504$877,534$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,115,954$ 2,176,666$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,120,121$ 143 16,752$ 2,395,536$




Checkers 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

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 (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