Checkers
GP: 15 | W: 8 | L: 7
GF: 63 | GA: 65 | PP%: 18.87% | PK%: 70.37%
DG: Félix Fortier | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Americans
15-8-0, 30pts
6
FINAL
5 Checkers
8-7-0, 16pts
Team Stats
OTL1StreakL1
7-4-0Home Record5-2-0
8-4-0Away Record3-5-0
6-3-1Last 10 Games4-4-2
4.13Buts par match 4.20
3.30Buts contre par match 4.33
26.23%Pourcentage en avantage numérique18.87%
85.90%Pourcentage en désavantage numérique70.37%
Americans
15-8-0, 30pts
4
FINAL
3 Checkers
8-7-0, 16pts
Team Stats
OTL1StreakL1
7-4-0Home Record5-2-0
8-4-0Away Record3-5-0
6-3-1Last 10 Games4-4-2
4.13Buts par match 4.20
3.30Buts contre par match 4.33
26.23%Pourcentage en avantage numérique18.87%
85.90%Pourcentage en désavantage numérique70.37%
Meneurs d'équipe
Victoires
Mitchell Gillam
5
Pourcentage d’arrêts
Mitchell Gillam
0.902

Statistiques d’équipe
Buts pour
63
4.20 GFG
Tirs pour
551
36.73 Avg
Pourcentage en avantage numérique
18.9%
10 GF
Début de zone offensive
40.6%
Buts contre
65
4.33 GAA
Tirs contre
593
39.53 Avg
Pourcentage en désavantage numérique
70.4%
16 GA
Début de la zone défensive
39.9%
Information d’équipe

Directeur généralFélix Fortier
EntraîneurAlex Burrows
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,965
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 80
Espoirs45


Historique d'équipe

Saison actuelle8-7
Historique83-68-14 (0.503%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)8-7
Stanley Cup0


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
1Cody Glass (R)0X100.00724088678587906578676364726368075660231925,000$
2Jesse Ylonen (R)0X100.00583682697083846862676364686365075650232925,000$
3Michael Sgarbossa0X100.00633692657084716577676362657072075640302700,000$
4Justin Dowling0XXX100.00583581656876736674676259657274075640322700,000$
5Joseph Cramarossa0XX100.00803969647576746371655862647072075640302700,000$
6Andy Andreoff0XX100.00783773647983886375616259637173075640312700,000$
7Sam Anas0XX100.00613589646193916374666157646971075630292950,000$
8Joel Teasdale (R)0X100.00663881627584746154606359626365075620232925,000$
9Terry Broadhurst0X100.00563595626579775862596056617476075620341750,000$
10Gabriel Bourque20XX100.00633973587277955660585759577274075610322700,000$
11Michal Teply (R)0XX100.00723894578179835561595660576163075610212925,000$
12Xavier Ouellet0X100.00843987617483816230615564506974075630291900,000$
13Christian Jaros (R)0X100.00767287598878715830605661486566075620262950,000$
14Tyler Wotherspoon0X100.00733584568269805530605259466971075610292700,000$
15Chase Priskie (R)0X100.00643784617283775730605862516668075610261900,000$
Rayé
1Bobby Brink (R)0X100.00683183656286686654675558646162075620213950,000$
2Stefan Matteau0XX100.00784479598278665771605864566870075620281900,000$
3Jack Rathbone (R)0X100.00613684687084736730666263556365075640232925,000$
4Taylor Fedun0X100.00683987597781695730585556457479075610341700,000$
5Kodie Curran0X100.00713178598072765730605458507375075610331750,000$
6Brady Lyle (R)0X100.00693987557869865830575655486365075600232925,000$
7Bobby Nardella (R)0X100.00563787576578725430625654486668075590261900,000$
8Joseph Cecconi (R)0X100.00733574568168825430565358466567075590251900,000$
MOYENNE D’ÉQUIPE100.0068388361748078605162586057677007562
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
Rayé
1Mitchell Gillam100.0076676570747375747375747084075650301750,000$
2Alexei Melnichuk (R)100.0072747378717072717072716571075630242925,000$
3Ryan Bednard (R)100.0065676691646365646365646573075600251925,000$
MOYENNE D’ÉQUIPE100.007169688070697170697170677607563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows71656564615785CAN4122,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Chase PriskieCheckers (FLA)D144141818140249234617.39%2325218.01101410000018000.00%000001.4300000130
2Joseph CramarossaCheckers (FLA)C/LW147111898039334482015.91%521115.10123945000040156.29%16700001.7000000220
3Justin DowlingCheckers (FLA)C/LW/RW1488169007334794017.02%228020.041128450000242048.78%28700001.1400000101
4Jesse YlonenCheckers (FLA)RW145914-6604425616368.93%1030521.811341248000091165.63%3200000.9200000002
5Christian JarosCheckers (FLA)D152111311002513229139.09%2235623.78235947000041010.00%000000.7300000110
6Cody GlassCheckers (FLA)C144812-60017745714387.02%634624.7712313480001500154.94%50600000.6900000000
7Sam AnasCheckers (FLA)C/RW15471134042031143012.90%217511.6800000000141053.85%5200001.2600000000
8Michael SgarbossaCheckers (FLA)C15461020043035113211.43%416310.891232110001152053.47%20200001.2200000012
9Michal TeplyCheckers (FLA)LW/RW1528104601612286177.14%419412.940000000000009.09%1100001.0300000100
10Bobby BrinkCheckers (FLA)RW153690201524324219.38%515010.06000533000000063.64%1100001.1900000100
11Joel TeasdaleCheckers (FLA)LW15729440202437113118.92%523515.69000000000180150.00%1200000.7600000010
12Andy AndreoffCheckers (FLA)C/LW15459-81005625479298.51%435423.6313410480001411058.62%2900000.5100000110
13Tyler WotherspoonCheckers (FLA)D15156-2100315131107.69%2529319.57000336000027000.00%000000.4100000001
14Xavier OuelletCheckers (FLA)D15336-826038211991515.79%1835923.98112747000035100.00%000000.3300000001
15Terry BroadhurstCheckers (FLA)LW12415420215226918.18%213010.9000000000000066.67%900000.7600000000
16Taylor FedunCheckers (FLA)D1103302015817350.00%620718.91000721000019000.00%000000.2900000000
17Gabriel BourqueCheckers (FLA)LW/RW151120201361051210.00%0875.8500000000000025.00%800000.4600000000
18Kodie CurranCheckers (FLA)D3022-2201042020.00%114414.760000000003000.00%000000.9000000000
19Jack RathboneCheckers (FLA)D3011-200175210.00%46722.660002900009000.00%000000.2900000000
20Brady LyleCheckers (FLA)D1000000000000.00%055.020000000000000.00%000000.0000000000
21Stefan MatteauCheckers (FLA)C/LW1000000010120.00%133.4000000000000050.00%400000.0000000000
Statistiques d’équipe totales ou en moyenne2516311117420108034140654714236911.52%159422616.841017279145400043238553.38%133000000.8200000897
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
1Mitchell GillamCheckers (FLA)95010.9023.4745000262640000.000090000
2Alexei MelnichukCheckers (FLA)63200.8874.4019100141240000.0000312000
Statistiques d’équipe totales ou en moyenne158210.8973.7464200403880000.00001212000


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
Alexei MelnichukCheckers (FLA)G246/29/1998Yes190 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Andy AndreoffCheckers (FLA)C/LW315/17/1991No200 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Bobby BrinkCheckers (FLA)RW217/8/2001Yes166 Lbs5 ft8NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Bobby NardellaCheckers (FLA)D264/22/1996Yes180 Lbs5 ft9NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Brady LyleCheckers (FLA)D236/6/1999Yes203 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Chase PriskieCheckers (FLA)D263/19/1996Yes185 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Christian JarosCheckers (FLA)D264/2/1996Yes222 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Cody GlassCheckers (FLA)C234/1/1999Yes206 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Gabriel BourqueCheckers (FLA)LW/RW329/23/1990No206 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Jack RathboneCheckers (FLA)D235/20/1999Yes177 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jesse YlonenCheckers (FLA)RW2310/3/1999Yes167 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Joel TeasdaleCheckers (FLA)LW233/11/1999Yes205 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Joseph CecconiCheckers (FLA)D255/23/1997Yes210 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Joseph CramarossaCheckers (FLA)C/LW3010/26/1992No190 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Justin DowlingCheckers (FLA)C/LW/RW3210/1/1990No180 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Kodie CurranCheckers (FLA)D3312/18/1989No200 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Michael SgarbossaCheckers (FLA)C307/25/1992No179 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Michal TeplyCheckers (FLA)LW/RW215/27/2001Yes187 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Mitchell GillamCheckers (FLA)G309/24/1992No174 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Ryan BednardCheckers (FLA)G253/31/1997Yes207 Lbs6 ft5NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Sam AnasCheckers (FLA)C/RW296/1/1993No163 Lbs5 ft8NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Stefan MatteauCheckers (FLA)C/LW282/23/1994No208 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Taylor FedunCheckers (FLA)D346/4/1988No200 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Terry BroadhurstCheckers (FLA)LW3411/30/1988No162 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Tyler WotherspoonCheckers (FLA)D293/12/1993No207 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Xavier OuelletCheckers (FLA)D297/29/1993No199 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.31191 Lbs6 ft01.62842,308$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andy AndreoffCody GlassJesse Ylonen40113
2Joel TeasdaleJustin DowlingMichal Teply30113
3Terry BroadhurstJoseph CramarossaSam Anas20113
4Gabriel BourqueMichael Sgarbossa10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Xavier OuelletChristian Jaros40122
2Tyler Wotherspoon35122
3Chase Priskie25122
4Xavier OuelletChristian Jaros0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andy AndreoffCody GlassJesse Ylonen60122
2Joseph CramarossaJustin Dowling40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Xavier OuelletChristian Jaros60122
2Tyler Wotherspoon40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassAndy Andreoff60122
2Justin DowlingJoel Teasdale40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Xavier OuelletChristian Jaros60122
2Tyler Wotherspoon40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cody Glass60122Xavier OuelletChristian Jaros60122
2Justin Dowling40122Tyler Wotherspoon40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassAndy Andreoff60122
2Justin DowlingJoel Teasdale40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Xavier OuelletChristian Jaros60122
2Tyler Wotherspoon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andy AndreoffCody GlassJesse YlonenXavier OuelletChristian Jaros
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andy AndreoffCody GlassJesse YlonenXavier OuelletChristian Jaros
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andy Andreoff, Michael Sgarbossa, Sam AnasAndy Andreoff, Michael SgarbossaAndy Andreoff
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Chase Priskie, , Chase Priskie
Tirs de pénalité
Cody Glass, Jesse Ylonen, Justin Dowling, Joseph Cramarossa, Andy Andreoff
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Cody Glass, Jesse Ylonen, Justin Dowling, Joseph Cramarossa, Andy Andreoff, Michael Sgarbossa, Michael Sgarbossa, Sam Anas, , Joel Teasdale, Terry Broadhurst
Lignes de défense personnalisées en prolongation
Xavier Ouellet, Christian Jaros, Tyler Wotherspoon, , Chase Priskie


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
1Americans404000001322-920200000810-220200000512-700.00013233600282492154190187158161724628911516.67%13561.54%029356352.04%30855355.70%13426949.81%35924737311119496
2Phantoms541000002320322000000963321000001414080.8002342650028249216819018715816208624412215533.33%21766.67%029356352.04%30855355.70%13426949.81%35924737311119496
3Wolf Pack64200000272343300000014104312000001313080.6672748750028249222919018715816213634513123417.39%20480.00%029356352.04%30855355.70%13426949.81%35924737311119496
Total1587000006365-27520000031265835000003239-7160.533631131760028249255119018715816593171117344531018.87%541670.37%029356352.04%30855355.70%13426949.81%35924737311119496
_Since Last GM Reset1587000006365-27520000031265835000003239-7160.533631131760028249255119018715816593171117344531018.87%541670.37%029356352.04%30855355.70%13426949.81%35924737311119496
_Vs Conference1587000006365-27520000031265835000003239-7160.533631131760028249255119018715816593171117344531018.87%541670.37%029356352.04%30855355.70%13426949.81%35924737311119496
_Vs Division1183000005043755000000231676330000027270160.727509014000282492397190187158164211258925338923.68%411173.17%029356352.04%30855355.70%13426949.81%35924737311119496

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1516L16311317655159317111734400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
158700006365
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
75200003126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
83500003239
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
531018.87%541670.37%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
19018715816282492
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
29356352.04%30855355.70%13426949.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
35924737311119496


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2023-04-131Checkers2Phantoms7ALSommaire du match
3 - 2023-04-159Checkers7Phantoms4AWSommaire du match
5 - 2023-04-1717Phantoms3Checkers4BWXSommaire du match
7 - 2023-04-1925Phantoms3Checkers5BWSommaire du match
9 - 2023-04-2133Checkers5Phantoms3AWSommaire du match
15 - 2023-04-2757Checkers3Wolf Pack4ALXSommaire du match
17 - 2023-04-2961Checkers6Wolf Pack7ALSommaire du match
19 - 2023-05-0165Wolf Pack2Checkers3BWSommaire du match
21 - 2023-05-0369Wolf Pack3Checkers5BWSommaire du match
23 - 2023-05-0573Checkers4Wolf Pack2AWSommaire du match
25 - 2023-05-0777Wolf Pack5Checkers6BWXSommaire du match
29 - 2023-05-1185Checkers4Americans5ALSommaire du match
31 - 2023-05-1387Checkers1Americans7ALSommaire du match
33 - 2023-05-1589Americans6Checkers5BLXSommaire du match
35 - 2023-05-1791Americans4Checkers3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3115
Assistance13,7587,000
Assistance PCT98.27%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 2965 - 98.85% 94,910$664,373$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,190,000$ 2,190,000$ 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$




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
1Jack Rathbone12531105136-84614122130810.06%222299523.961429431400003100.00%00.9100
2Sam Anas16262581204249227451012.16%29231414.2966124900006850.68%11.0400
3Jesse Ylonen744146871883616631612.97%32156621.16118194900044347.11%21.1104
4Andy Andreoff82295685134220312525611.33%27150318.34611173500047057.86%21.1301
5Stefan Matteau13227558231572502362889.38%33150211.38212144100015154.92%01.0912

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
1Ryan Miller75342980.9133.2944112324227830510.76913
2Alexei Melnichuk39221220.8993.5921414012812720010.0000
3Ryan Bednard135220.9073.4955020323440000.63611
4Oscar Dansk112800.8953.8147300302860010.0000
5Mitchell Gillam10000.63612.6319004110000.0000

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
Saison régulière
23823437026122862806412017011111541342041142001501132146-1482286506792231119280430079511017102032312191946318932465923.98%1963980.10%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
20228238310721336034317412112040132031772641171903200157166-99736066310231012212710310318810411048106448303587859419992807727.50%2647073.48%01596308651.72%1477290550.84%792147453.73%2000141819335801023513
Total Saison régulière16472680982564662323824129051243573114682313904701289312-23179646116918153323321918314619519922065208480615617971057389252613625.86%46010976.30%03170615051.54%3007604549.74%1439278951.60%399528383881115120361022
20221587000006365-27520000031265835000003239-716631131760028249255119018715816593171117344531018.87%541670.37%029356352.04%30855355.70%13426949.81%35924737311119496
Total Séries éliminatoires1587000006365-27520000031265835000003239-716631131760028249255119018715816593171117344531018.87%541670.37%029356352.04%30855355.70%13426949.81%35924737311119496

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
1Chase Priskie144141818142492317.39%2325218.0110140000000.00%01.4300
2Joseph Cramarossa14711189839334415.91%521115.10123900000156.29%01.7000
3Justin Dowling148816907334717.02%228020.04112800002048.78%01.1400
4Jesse Ylonen145914-66442568.93%1030521.811341200001165.63%00.9200
5Christian Jaros15211131102513229.09%2235623.7823590000010.00%00.7300

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
1Mitchell Gillam95010.9023.4745000262640000.0000
2Alexei Melnichuk63200.8874.4019100141240000.0000