Connexion

Charlotte Checkers
GP: 11 | W: 6 | L: 5
GF: 34 | GA: 35 | PP%: 35.48% | PK%: 68.97%
DG: Martin Lessard | Morale : 65 | Moyenne d’équipe : 62
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Centre de jeu
Manitoba Moose
16-10-0, 32pts
3
FINAL
5 Charlotte Checkers
6-5-0, 12pts
Team Stats
W3StreakL1
10-3-0Home Record4-2-0
6-7-0Away Record2-3-0
6-3-1Last 10 Games5-5-0
3.54Buts par match 3.09
2.92Buts contre par match 3.18
23.73%Pourcentage en avantage numérique35.48%
72.73%Pourcentage en désavantage numérique68.97%
Charlotte Checkers
6-5-0, 12pts
2
FINAL
3 Manitoba Moose
16-10-0, 32pts
Team Stats
L1StreakW3
4-2-0Home Record10-3-0
2-3-0Away Record6-7-0
5-5-0Last 10 Games6-3-1
3.09Buts par match 3.54
3.18Buts contre par match 2.92
35.48%Pourcentage en avantage numérique23.73%
68.97%Pourcentage en désavantage numérique72.73%
Meneurs d'équipe
Buts
Casey Mitelstadt
6
Passes
Frederick Gaudreau
9
Points
Frederick Gaudreau
13
Plus/Moins
Steven Lorentz
5
Victoires
Callum Booth
6
Pourcentage d’arrêts
Callum Booth
0.92

Statistiques d’équipe
Buts pour
34
3.09 GFG
Tirs pour
382
34.73 Avg
Pourcentage en avantage numérique
35.5%
11 GF
Début de zone offensive
37.5%
Buts contre
35
3.18 GAA
Tirs contre
436
39.64 Avg
Pourcentage en désavantage numérique
69.0%
9 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralMartin Lessard
EntraîneurBenoit Groulx
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1Trevor van Riemsdyk
Assistant #2Patrick Brown


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro41
Équipe Mineure18
Limite contact 59 / 100
Espoirs13


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 moyen
1Frederick Gaudreau0XXX100.005341917370888963777167745976705556680291900,000$
2Casey Mitelstadt0XXX100.0068507274728090778066726360525189816722311,300,000$
3Steven Lorentz0X100.007152856889878570716864625870675874670261750,000$
4Tobias Rieder0X100.005839816870888767666567736276704888670291890,000$
5Clark Bishop0X100.008048867278737572666964656169665284670261750,000$
6Ondrej Kase0XX100.0052398874738176755373656472736944816722622,900,000$
7Connor McMichael (R)0XX100.006660617373808873787167646048488684662212925,000$
8Phillip Di Guiseppe0XX100.0077557767828584676066635962626168846522811,100,000$
9Patrick Brown (A)0X100.007938896375767863626264676178714583640301750,000$
10David Cotton (R)0X100.007060786481808765776066616061617649640241858,750$
11Brendan Woods0XXX100.007359746088848359666060615677705575630301750,000$
12John Leonard0X100.0060456071617577725071645860474763836302331,500,000$
13Logan Shaw0XXX100.0061439062857675617961626558776750846322911,000,000$
14Radim Zohorna0X100.0087656970887777655061616364464667726302610$
15Angus Crookshank (R)0XX100.006440897168707464736661596062617581620222838,333$
16Trevor van Riemsdyk (A)0X100.0055419064797768643070607648807232706703021,950,000$
17Jake Massie0X100.005946845877747356305654674568665984620251785,000$
18Josh Wesley0X100.006545885783737254305249664869666046611261750,000$
19Oskari Laaksonen0X100.00596060616160606060605969606262179600224800,000$
20Connor Mackey (R)0X100.006645765577787554305454616061617669600252800,000$
21Cooper Zech0X100.00596060616160605960586070606161118590234800,000$
Rayé
1Mike hardman (R)0X100.007255706768757465306160636246567643610234800,000$
2Joona Luoto0X100.006243896283776761515960606267635143610241925,000$
3Drake Rymsha0X100.006545796173797859645957595464635633600231700,000$
4Hudson Elynuik0X100.007057795889858754505758595366646321602241835,000$
5Arnaud Durandeau0X100.005139866266727163556060565561636420590232850,000$
6Spencer Smallman0X100.006246885778828153525552565468645120580251925,000$
7Matt Filipe (R)0XX100.007035605677737854575958605650527720580241817,500$
8Brent Pedersen0X100.006743905682777654515352555370665520570263700,000$
9Samuel Asselin0X100.006060606060606060606060606060601020570253800,000$
10Felix Robert (R)0X100.00606060606060606060606060606060120570224750,000$
11Luke Stevens (R)0X100.00606065657775726252525552605560720570252750,000$
12Joel Teasdale (R)0XX100.00606060606060606060606060606040120560231763,333$
13Max Zimmer (R)0X100.00606060606060606060606060606040120560241800,000$
14Nick Abruzzese (R)0X100.00606060606060606065606060606040120560232850,000$
15Nikolai Knyzhov (R)0X81.6961398969807371673068607845646353806702431,500,000$
16Kim Nousiainen (R)0X100.00606060606060606060606070606040120580213859,167$
17Nick Perbix (R)0X100.00606060606060606060606070606040125580242842,500$
MOYENNE D’ÉQUIPE99.50645075647374746257626063586359465262
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 moyen
1Callum Booth100.00787677837778797777777067716087751251735,000$
2Trent Miner100.0070707070707070707070707070180690214775,000$
Rayé
1Eetu Makniemi (R)100.0065656565656565656565656540120620231800,000$
MOYENNE D’ÉQUIPE100.0071707173717171717171686760216269
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx60606060606060CAN531900,000$


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
1Frederick GaudreauCharlotte Checkers (CAR)C/LW/RW114913-500111531113812.90%325122.903366230002261054.69%19293001.0300000020
2Casey MitelstadtCharlotte Checkers (CAR)C/LW/RW116612-260151058142510.34%420118.341349230002182057.14%21118001.1900000111
3Clark BishopCharlotte Checkers (CAR)C11371045513123612248.33%819717.93123419000040045.81%15553001.0100001003
4Connor McMichaelCharlotte Checkers (CAR)C/RW11549412018153381415.15%719317.62213319000000060.00%5112000.9300000101
5Luke GlendeningCarolina HurricanesC/LW/RW5358220108155720.00%613126.271232120000121054.55%14331001.2200000110
6Ondrej KaseCharlotte Checkers (CAR)LW/RW6347-60099226713.64%410317.26325410000141027.27%1172001.3500000100
7Steven LorentzCharlotte Checkers (CAR)LW112465551212346175.88%619717.97011319000060144.44%931000.6100010000
8Tobias RiederCharlotte Checkers (CAR)C113361609143810267.89%315113.7800000000000048.65%7492000.7900000010
9Logan ShawCharlotte Checkers (CAR)C/LW/RW112351009111471214.29%815213.9000000000021055.56%942000.6500000001
10Trevor van RiemsdykCharlotte Checkers (CAR)D11055500101615830.00%2128325.75022325000225000.00%048000.3500000000
11Jake MassieCharlotte Checkers (CAR)D11044340151110470.00%2230427.64022127000023000.00%0110000.2600000000
12Phillip Di GuiseppeCharlotte Checkers (CAR)LW/RW1112314022102411174.17%314613.3600000000000075.00%493000.4100000000
13Oskari LaaksonenCharlotte Checkers (CAR)D11022-58012610480.00%921119.23000014000110000.00%013000.1900000000
14Josh WesleyCharlotte Checkers (CAR)D6101-110104236233.33%710116.900000100003000.00%014000.2000020000
15Connor MackeyCharlotte Checkers (CAR)D11011-50011119540.00%1723321.21000014000019000.00%004000.0900000000
16John LeonardCharlotte Checkers (CAR)LW11101-6603412498.33%2918.3500000000030050.00%611000.2200000000
17Brendan WoodsCharlotte Checkers (CAR)C/LW/RW4000000000000.00%020.590000000001000.00%000000.0000000000
18Cooper ZechCharlotte Checkers (CAR)D9000-175254230.00%710411.580000300002000.00%002000.0000100000
19Nick PerbixCharlotte Checkers (CAR)D7000-255262100.00%28912.730000000002000.00%005000.0000001000
20Radim ZohornaCharlotte Checkers (CAR)LW11000-260602100.00%0302.7500000000000016.67%600000.0000000000
21Patrick BrownCharlotte Checkers (CAR)C11000-6008710530.00%91039.4300000000060055.36%11222000.0000000000
Statistiques d’équipe totales ou en moyenne202345993-1586302011843821302268.90%148328316.261118293521700081756151.67%7478166000.5700132456
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
1Callum BoothCharlotte Checkers (CAR)116500.9203.166642035436212100.0000110200
Statistiques d’équipe totales ou en moyenne116500.9203.166642035436212100.0000110200


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Angus CrookshankCharlotte Checkers (CAR)C/LW221999-10-02 08:52:36Yes178 Lbs5 ft11NoNoNo2Pro & Farm838,333$838,333$0$0$No838,333$
Arnaud DurandeauCharlotte Checkers (CAR)LW231999-01-14No175 Lbs6 ft9NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Brendan WoodsCharlotte Checkers (CAR)C/LW/RW301992-06-11No210 Lbs7 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Brent PedersenCharlotte Checkers (CAR)LW261995-07-05No210 Lbs7 ft0NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$Lien
Callum BoothCharlotte Checkers (CAR)G251997-05-21No184 Lbs7 ft2NoNoNo1Pro & Farm735,000$735,000$0$0$NoLien
Casey MitelstadtCharlotte Checkers (CAR)C/LW/RW231998-11-22 04:48:07No201 Lbs6 ft11NoNoNo1Pro & Farm1,300,000$1,300,000$0$0$NoLien
Clark BishopCharlotte Checkers (CAR)C261996-03-29No199 Lbs6 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Connor MackeyCharlotte Checkers (CAR)D251996-09-12 17:47:13Yes190 Lbs7 ft0NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$
Connor McMichaelCharlotte Checkers (CAR)C/RW212001-01-15 10:03:31Yes187 Lbs6 ft10NoNoNo2Pro & Farm894,167$925,000$0$0$No894,167$
Cooper ZechCharlotte Checkers (CAR)D231998-12-18 09:34:47No165 Lbs6 ft8NoNoNo4Pro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$
David CottonCharlotte Checkers (CAR)C241997-07-09 08:55:23Yes200 Lbs7 ft0NoNoNo1Pro & Farm858,750$858,750$0$0$No
Drake RymshaCharlotte Checkers (CAR)C231998-08-18No187 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Eetu MakniemiCharlotte Checkers (CAR)G231999-04-19 07:36:15Yes184 Lbs6 ft2NoNoNo1Pro & Farm800,000$800,000$0$0$No
Felix RobertCharlotte Checkers (CAR)C221999-07-24 18:02:52Yes174 Lbs5 ft8NoNoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$
Frederick GaudreauCharlotte Checkers (CAR)C/LW/RW291993-05-01No179 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien
Hudson ElynuikCharlotte Checkers (CAR)C241997-10-12No194 Lbs6 ft5NoNoNo1Pro & Farm835,000$835,000$0$0$NoLien
Jake MassieCharlotte Checkers (CAR)D251997-01-27No190 Lbs6 ft1NoNoNo1Pro & Farm785,000$785,000$0$0$NoLien
Joel TeasdaleCharlotte Checkers (CAR)LW/RW231999-03-11 07:37:46Yes218 Lbs5 ft11NoNoNo1Pro & Farm763,333$763,333$0$0$No
John LeonardCharlotte Checkers (CAR)LW231998-08-22 02:49:39No185 Lbs5 ft11NoNoNo3Pro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$Lien
Joona LuotoCharlotte Checkers (CAR)LW241997-09-26No192 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Josh WesleyCharlotte Checkers (CAR)D261996-04-09No195 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Kim NousiainenCharlotte Checkers (CAR)D212000-11-14 07:39:19Yes178 Lbs5 ft8NoNoNo3Pro & Farm859,167$859,167$0$0$No859,167$859,167$
Logan ShawCharlotte Checkers (CAR)C/LW/RW291992-10-05No208 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien / Lien NHL
Luke StevensCharlotte Checkers (CAR)LW251997-02-11 08:58:11Yes192 Lbs6 ft4NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$
Matt FilipeCharlotte Checkers (CAR)C/LW241997-12-31 09:00:17Yes198 Lbs6 ft2NoNoNo1Pro & Farm817,500$817,500$0$0$No
Max ZimmerCharlotte Checkers (CAR)LW241997-10-29 07:41:16Yes187 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$0$0$No
Mike hardmanCharlotte Checkers (CAR)RW231999-02-05 17:53:33Yes205 Lbs7 ft0NoNoNo4Pro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$
Nick AbruzzeseCharlotte Checkers (CAR)C231999-06-04 07:42:30Yes160 Lbs5 ft9NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$
Nick PerbixCharlotte Checkers (CAR)D241998-06-15 07:43:48Yes191 Lbs6 ft2NoNoNo2Pro & Farm842,500$842,500$0$0$No842,500$
Nikolai KnyzhovCharlotte Checkers (CAR)D241998-03-20Yes194 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$Lien
Ondrej KaseCharlotte Checkers (CAR)LW/RW261995-11-08No190 Lbs6 ft0NoNoNo2Pro & Farm2,900,000$2,900,000$0$0$No2,900,000$Lien / Lien NHL
Oskari LaaksonenCharlotte Checkers (CAR)D221999-07-02 09:38:08No165 Lbs6 ft2NoNoNo4Pro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$
Patrick BrownCharlotte Checkers (CAR)C301992-05-29No214 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Phillip Di GuiseppeCharlotte Checkers (CAR)LW/RW281993-10-09No192 Lbs6 ft0NoNoNo1Pro & Farm1,100,000$1,100,000$0$0$NoLien / Lien NHL
Radim ZohornaCharlotte Checkers (CAR)LW261996-04-29 01:59:21No229 Lbs6 ft5NoNoNo1Pro & Farm0$0$No
Samuel AsselinCharlotte Checkers (CAR)C251996-08-31 09:39:44No185 Lbs5 ft10NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$
Spencer SmallmanCharlotte Checkers (CAR)RW251996-09-09No198 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Steven LorentzCharlotte Checkers (CAR)LW261996-04-13No206 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Tobias RiederCharlotte Checkers (CAR)C291993-01-10No186 Lbs5 ft11NoNoNo1Pro & Farm890,000$890,000$0$0$NoLien / Lien NHL
Trent MinerCharlotte Checkers (CAR)G212001-02-05 09:42:02No179 Lbs6 ft1NoNoNo4Pro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$
Trevor van RiemsdykCharlotte Checkers (CAR)D301991-07-24No192 Lbs6 ft2NoNoNo2Pro & Farm1,950,000$1,950,000$0$0$No1,950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4124.76191 Lbs6 ft41.83923,018$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Casey MitelstadtFrederick GaudreauOndrej Kase30122
2Steven LorentzClark BishopConnor McMichael30122
3Phillip Di GuiseppeTobias RiederLogan Shaw20122
4John LeonardPatrick BrownFrederick Gaudreau20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor van RiemsdykJake Massie30122
2Connor MackeyOskari Laaksonen30122
3Josh WesleyCooper Zech20122
4Josh WesleyJake Massie20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Casey MitelstadtFrederick GaudreauOndrej Kase60122
2Steven LorentzClark BishopConnor McMichael40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor van RiemsdykJake Massie60122
2Connor MackeyOskari Laaksonen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Frederick GaudreauCasey Mitelstadt60122
2Steven LorentzOndrej Kase40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor van RiemsdykJake Massie60122
2Connor MackeyOskari Laaksonen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Frederick Gaudreau60122Trevor van RiemsdykJake Massie60122
2Casey Mitelstadt40122Connor MackeyOskari Laaksonen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Frederick GaudreauCasey Mitelstadt60122
2Steven LorentzOndrej Kase40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh WesleyJake Massie60122
2Connor MackeyOskari Laaksonen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Casey MitelstadtFrederick GaudreauOndrej KaseTrevor van RiemsdykJake Massie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Casey MitelstadtFrederick GaudreauOndrej KaseTrevor van RiemsdykJake Massie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Radim Zohorna, Tobias Rieder, Patrick BrownRadim Zohorna, Tobias RiederPatrick Brown
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskari Laaksonen, Jake Massie, Connor MackeyJake MassieJake Massie, Connor Mackey
Tirs de pénalité
Frederick Gaudreau, Casey Mitelstadt, Steven Lorentz, Ondrej Kase, Clark Bishop
Gardien
#1 : Callum Booth, #2 : Trent Miner
Lignes d’attaque personnalisées en prolongation
Frederick Gaudreau, Casey Mitelstadt, Steven Lorentz, Ondrej Kase, Clark Bishop, Tobias Rieder, Tobias Rieder, Connor McMichael, Patrick Brown, Phillip Di Guiseppe, John Leonard
Lignes de défense personnalisées en prolongation
Cooper Zech, Jake Massie, Connor Mackey, Oskari Laaksonen, Josh Wesley


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
1Chicago Wolves54100000161423300000011742110000057-280.80016284400101310115812415398719471459116531.25%15473.33%014628052.14%13829446.94%10217358.96%2271292419719699
2Manitoba Moose624000001821-331200000911-231200000910-140.333183149001013101224124153987242774311015640.00%14564.29%014628052.14%13829446.94%10217358.96%2271292419719699
Total1165000003435-16420000020182523000001417-3120.54534599300101310138212415398743614888201311135.48%29968.97%014628052.14%13829446.94%10217358.96%2271292419719699
_Since Last GM Reset1165000003435-16420000020182523000001417-3120.54534599300101310138212415398743614888201311135.48%29968.97%014628052.14%13829446.94%10217358.96%2271292419719699
_Vs Conference1165000003435-16420000020182523000001417-3120.54534599300101310138212415398743614888201311135.48%29968.97%014628052.14%13829446.94%10217358.96%2271292419719699
_Vs Division624000001821-331200000911-231200000910-140.333183149001013101224124153987242774311015640.00%14564.29%014628052.14%13829446.94%10217358.96%2271292419719699

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1112L13459933824361488820100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116500003435
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64200002018
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001417
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
311135.48%29968.97%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1241539871013101
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
14628052.14%13829446.94%10217358.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2271292419719699


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 - 2021-10-135Chicago Wolves1Charlotte Checkers2BWXSommaire du match
4 - 2021-10-1513Chicago Wolves3Charlotte Checkers4BWSommaire du match
6 - 2021-10-1721Charlotte Checkers1Chicago Wolves6ALSommaire du match
8 - 2021-10-1929Charlotte Checkers4Chicago Wolves1AWSommaire du match
10 - 2021-10-2137Chicago Wolves3Charlotte Checkers5BWSommaire du match
16 - 2021-10-2759Manitoba Moose4Charlotte Checkers2BLSommaire du match
18 - 2021-10-2963Manitoba Moose4Charlotte Checkers2BLSommaire du match
20 - 2021-10-3167Charlotte Checkers3Manitoba Moose4ALSommaire du match
22 - 2021-11-0271Charlotte Checkers4Manitoba Moose3AWSommaire du match
24 - 2021-11-0475Manitoba Moose3Charlotte Checkers5BWSommaire du match
26 - 2021-11-0679Charlotte Checkers2Manitoba Moose3ALSommaire du match



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,784,375$ 3,787,458$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Charlotte 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

Charlotte 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

Charlotte 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

Charlotte 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

Charlotte 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