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Connexion

Xpress
GP: 42 | W: 26 | L: 12 | OTL: 4 | P: 56
GF: 166 | GA: 136 | PP%: 16.84% | PK%: 85.91%
DG: Samuel Bélanger | Morale : 90 | Moyenne d’équipe : 55
Prochains matchs #652 vs Bayou

Centre de jeu
Xpress
26-12-4, 56pts
4
3 Vipers
28-11-0, 56pts
Team Stats
OTL1SéquenceW1
13-5-3Fiche domicile14-7-0
13-7-1Fiche domicile14-4-0
6-2-2Derniers 10 matchs6-4-0
3.95Buts par match 3.69
3.24Buts contre par match 2.74
16.84%Pourcentage en avantage numérique14.43%
85.91%Pourcentage en désavantage numérique85.59%
Scorpions
20-18-4, 44pts
4
3 Xpress
26-12-4, 56pts
Team Stats
OTW1SéquenceOTL1
13-5-2Fiche domicile13-5-3
7-13-2Fiche domicile13-7-1
5-5-0Derniers 10 matchs6-2-2
3.21Buts par match 3.95
3.07Buts contre par match 3.24
18.32%Pourcentage en avantage numérique16.84%
83.54%Pourcentage en désavantage numérique85.91%
Xpress
26-12-4, 56pts
Jour 52
Bayou
23-16-1, 47pts
Statistiques d’équipe
OTL1SéquenceL1
13-5-3Fiche domicile16-5-0
13-7-1Fiche visiteur7-11-1
6-2-210 derniers matchs4-5-1
3.95Buts par match 3.43
3.24Buts contre par match 3.43
16.84%Pourcentage en avantage numérique14.29%
85.91%Pourcentage en désavantage numérique80.98%
Xpress
26-12-4, 56pts
Jour 53
Predateurs
15-20-7, 37pts
Statistiques d’équipe
OTL1SéquenceL2
13-5-3Fiche domicile9-7-5
13-7-1Fiche visiteur6-13-2
6-2-210 derniers matchs4-5-1
3.95Buts par match 2.79
3.24Buts contre par match 2.79
16.84%Pourcentage en avantage numérique11.24%
85.91%Pourcentage en désavantage numérique81.00%
Xpress
26-12-4, 56pts
Jour 54
Scorpions
20-18-4, 44pts
Statistiques d’équipe
OTL1SéquenceOTW1
13-5-3Fiche domicile13-5-2
13-7-1Fiche visiteur7-13-2
6-2-210 derniers matchs5-5-0
3.95Buts par match 3.21
3.24Buts contre par match 3.21
16.84%Pourcentage en avantage numérique18.32%
85.91%Pourcentage en désavantage numérique83.54%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
166
3.95 GFG
Tirs pour
1622
38.62 Avg
Pourcentage en avantage numérique
16.8%
33 GF
Début de zone offensive
42.7%
Buts contre
136
3.24 GAA
Tirs contre
1351
32.17 Avg
Pourcentage en désavantage numérique
85.9%%
31 GA
Début de la zone défensive
39.2%
Informations de l'équipe

Directeur généralSamuel Bélanger
EntraîneurDale Hunter
DivisionDivision Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,996
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure22
Limite Contrat41 / 50
Espoirs45


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
1Jani Nyman (R)X100.00604590797470405730526258678071090590215950,000$
2Mikael PyyhtiaX100.00574592815261575130455777658372090590234950,000$
3Nils AmanX100.00714592835852405730615465678572090590254950,000$
4Matthew HighmoreX100.00744588805556505130485469658977090590291775,000$
5Oliver WahlstromX100.00645471767151525130465661668471090570254950,000$
6Olle Lycksell (R)X100.00564592844259405530615059678574090570262975,000$
7Ozzy Wiesblatt (R)X100.00604595785256404730445064508371090550235800,000$
8Jonas RondbjergX100.00504595757050404530405061508673090540261850,000$
9Aydar Suniev (R)X100.00504595766774404530405059508072090540205950,000$
10Samuel Honzek (R)X100.00524592786562404530405062508069090540205925,000$
11Jan Jenik (R)X100.005045957668504045304050555084710905302521,500,000$
12Jacob Quillan (R)X100.00504595756850404530405055508370090520235800,000$
13Jack RathboneX100.005045958060504045304050555083710905602621,000,000$
14Sebastien AhoX100.00504589814650404530405055508878090560291925,000$
Rayé
1Arttu Hyry (R)X100.00504595747750404730445055508471090540245875,000$
2Adam ErneX100.005045857475504045304050555088750905303051,100,000$
3Drake CaggiulaX100.005448887850504047304450555090770905303112,700,000$
4Adam Raska (R)X100.00504595795050404530405055508269090520241900,000$
MOYENNE D’ÉQUIPE100.0055469178615542483045526055847209055
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
1Dylan Ferguson (R)100.0070404084656565656565658471090570271775,000$
Rayé
MOYENNE D’ÉQUIPE100.007040408465656565656565847109057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dale Hunter65656565977246CAN662500,000$


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
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


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Adam ErneXpress (STJ)LW301995-04-20USANo215 Lbs6 ft1NoNoN/ANoNo52026-03-08FalseFalsePro & Farm1,100,000$580,556$0$0$No1,100,000$1,100,000$1,100,000$1,100,000$-----1,100,000$1,100,000$1,100,000$1,100,000$-----NoNoNoNo-----Lien NHL
Adam RaskaXpress (STJ)RW242001-09-25CZEYes178 Lbs5 ft10NoNoN/ANoNo12026-03-08FalseFalsePro & Farm900,000$475,000$0$0$No---------------------------Lien NHL
Arttu HyryXpress (STJ)RW242001-04-06FINYes214 Lbs6 ft3NoNoDraftNoNo52026-03-08FalseFalsePro & Farm875,000$461,806$0$0$No875,000$875,000$875,000$875,000$-----875,000$875,000$875,000$875,000$-----NoNoNoNo-----Lien NHL
Aydar SunievXpress (STJ)LW202004-11-16RUSYes198 Lbs6 ft2NoNoProspectNoNo52026-03-08FalseFalsePro & Farm950,000$501,389$0$0$No950,000$950,000$950,000$950,000$-----950,000$950,000$950,000$950,000$-----NoNoNoNo-----Lien NHL
Drake CaggiulaXpress (STJ)LW311994-06-20CANNo176 Lbs5 ft10NoNoN/ANoNo12026-03-08FalseFalsePro & Farm2,700,000$1,425,000$0$0$No---------------------------Lien NHL
Dylan FergusonXpress (STJ)G271998-09-20CANYes194 Lbs6 ft2NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$409,028$0$0$No---------------------------Lien NHL
Jack RathboneXpress (STJ)D261999-05-20USANo177 Lbs5 ft10NoNoN/ANoNo22026-03-08FalseFalsePro & Farm1,000,000$527,778$0$0$No1,000,000$--------1,000,000$--------No--------Lien NHL
Jacob QuillanXpress (STJ)C232002-02-02CANYes204 Lbs6 ft1NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$422,222$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Jan JenikXpress (STJ)C252000-09-15CZEYes185 Lbs6 ft1NoNoN/ANoNo22026-03-08FalseFalsePro & Farm1,500,000$791,667$0$0$No1,500,000$--------1,500,000$--------No--------Lien NHL
Jani NymanXpress (STJ)RW212004-07-30CANYes212 Lbs6 ft2NoNoProspectNoNo52026-03-08FalseFalsePro & Farm950,000$501,389$0$0$No950,000$950,000$950,000$950,000$-----950,000$950,000$950,000$950,000$-----NoNoNoNo-----Lien NHL
Jonas RondbjergXpress (STJ)RW261999-03-31DNKNo202 Lbs6 ft2NoNoN/ANoNo12026-03-08FalseFalsePro & Farm850,000$448,611$0$0$No---------------------------Lien NHL
Matthew HighmoreXpress (STJ)RW291996-02-27CANNo188 Lbs5 ft11NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$409,028$0$0$No---------------------------Lien NHL
Mikael PyyhtiaXpress (STJ)LW232001-12-17FINNo166 Lbs6 ft0NoNoN/ANoNo42026-03-08FalseFalsePro & Farm950,000$501,389$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien NHL
Nils AmanXpress (STJ)RW252000-02-07SWENo179 Lbs6 ft2NoNoN/ANoNo42026-03-08FalseFalsePro & Farm950,000$501,389$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien NHL
Oliver WahlstromXpress (STJ)RW252000-06-13SWENo200 Lbs6 ft2NoNoN/ANoNo42026-03-08FalseFalsePro & Farm950,000$501,389$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien NHL
Olle LycksellXpress (STJ)RW261999-08-24SWEYes163 Lbs5 ft10NoNoN/ANoNo22026-03-08FalseFalsePro & Farm975,000$514,583$0$0$No975,000$--------975,000$--------No--------Lien NHL
Ozzy WiesblattXpress (STJ)C232002-03-09CANYes183 Lbs5 ft10NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$422,222$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Samuel HonzekXpress (STJ)LW202004-11-12SVKYes186 Lbs6 ft4NoNoProspectNoNo52026-03-08FalseFalsePro & Farm925,000$488,194$0$0$No925,000$925,000$925,000$925,000$-----925,000$925,000$925,000$925,000$-----NoNoNoNo-----Lien NHL
Sebastien AhoXpress (STJ)D291996-02-17FINNo180 Lbs5 ft10NoNoN/ANoNo12026-03-08FalseFalsePro & Farm925,000$488,194$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1925.11189 Lbs6 ft03.111,034,211$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
230122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
230122
325122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
245122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
TotalDomicile Visiteur
# 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 RI
1Barracudas21100000761000000000002110000076120.50071320007148443103553530519237323145212216.67%60100.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
2Bayou1010000023-1000000000001010000023-100.00024600714844338553530519234311819600.00%4175.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
3Chiwawa1010000025-3000000000001010000025-300.000235007148443325535305192344710316233.33%5260.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
4CoolFm2010010068-21000010023-11010000045-110.250612180071484437955353051923581438589111.11%14378.57%0858163252.57%774149851.67%35169350.65%10347461022294483237
5Farmers220000001257110000007341100000052341.0001224360071484437155353051923592421577228.57%7271.43%1858163252.57%774149851.67%35169350.65%10347461022294483237
6Goons220000001147110000007431100000040441.0001121320171484437855353051923401518389111.11%9188.89%0858163252.57%774149851.67%35169350.65%10347461022294483237
7Grizzlies1000000145-11000000145-10000000000010.5004812007148443385535305192333171219200.00%60100.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
8Igloos3210000013103110000004132110000099040.667132639007148443865535305192313038527812325.00%24195.83%0858163252.57%774149851.67%35169350.65%10347461022294483237
9Marmots2110000037-4110000003121010000006-620.5003580071484437555353051923511129311100.00%13469.23%0858163252.57%774149851.67%35169350.65%10347461022294483237
10Outlaws21001000844110000004131000100043141.0008152300714844385553530519235915195916212.50%7185.71%0858163252.57%774149851.67%35169350.65%10347461022294483237
11Predateurs11000000321110000003210000000000021.00036900714844324553530519232961718000%70100.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
12Raptors11000000523110000005230000000000021.0005914007148443325535305192318614287114.29%70100.00%1858163252.57%774149851.67%35169350.65%10347461022294483237
13Sags11000000431000000000001100000043121.000481200714844332553530519231621621400.00%7185.71%0858163252.57%774149851.67%35169350.65%10347461022294483237
14Scorpions20001100550200011005500000000000030.75059140071484436255353051923512424466116.67%110100.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
15Smirnoff Ice11000000514000000000001100000051421.0005914007148443425535305192316710212150.00%5180.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
16Snowbirds1010000046-21010000046-20000000000000.0004812107148443405535305192341181628200.00%70100.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
17Spartans430001002215722000000108221000100127570.87522416300714844315555353051923164363211425936.00%17382.35%0858163252.57%774149851.67%35169350.65%10347461022294483237
18Supreme312000001412220200000711-41100000071620.333142842007148443124553530519231172931611715.88%11281.82%0858163252.57%774149851.67%35169350.65%10347461022294483237
19Thugs22000000954220000009540000000000041.000917260071484439855353051923732018621815.56%9188.89%0858163252.57%774149851.67%35169350.65%10347461022294483237
20Vandals21100000770110000004221010000035-220.50071219007148443935535305192343182547700.00%8275.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
21Vipers32100000101001010000024-22200000086240.667101828007148443121553530519231023643868225.00%18477.78%0858163252.57%774149851.67%35169350.65%10347461022294483237
22Warriors10001000431000000000001000100043121.0004711007148443355535305192315912314125.00%60100.00%0858163252.57%774149851.67%35169350.65%10347461022294483237
23Wolves2110000068-21010000025-31100000043120.500612181071484437955353051923761924566350.00%12283.33%0858163252.57%774149851.67%35169350.65%10347461022294483237
Total422312033011661363021125012018268142111702100846816560.667166315481217148443162255353051923135140550310611963316.84%2203185.91%2858163252.57%774149851.67%35169350.65%10347461022294483237
_Since Last GM Reset422312033011661363021125012018268142111702100846816560.667166315481217148443162255353051923135140550310611963316.84%2203185.91%2858163252.57%774149851.67%35169350.65%10347461022294483237
_Vs Conference148301101584315640001012717108430100031265200.714581121700171484435045535305192340213519233356916.07%841285.71%1858163252.57%774149851.67%35169350.65%10347461022294483237
_Vs Division7420010030228320001001385422000001714390.643305989017148443243553530519232286710817430516.67%47589.36%0858163252.57%774149851.67%35169350.65%10347461022294483237

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4256OTL116631548116221351405503106121
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4223123301166136
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2112512018268
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2111721008468
Derniers 10 matchs
WLOTWOTL SOWSOL
620200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1963316.84%2203185.91%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
553530519237148443
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
858163252.57%774149851.67%35169350.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10347461022294483237


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
115Spartans4Xpress5WSommaire du match
222Xpress5Spartans6LXSommaire du match
436Xpress3Igloos6LSommaire du match
549Thugs2Xpress3WSommaire du match
662Xpress4Outlaws3WXSommaire du match
784Scorpions1Xpress2WXSommaire du match
9100Vandals2Xpress4WSommaire du match
10116Xpress5Farmers2WSommaire du match
12131Xpress4Vipers3WSommaire du match
13146Predateurs2Xpress3WSommaire du match
14165Xpress4Wolves3WSommaire du match
15178Grizzlies5Xpress4LXXSommaire du match
17196Snowbirds6Xpress4LSommaire du match
18213Xpress4Barracudas2WSommaire du match
19226Supreme4Xpress2LSommaire du match
20246Xpress0Marmots6LSommaire du match
21249Xpress7Spartans1WSommaire du match
23267Igloos1Xpress4WSommaire du match
24285Wolves5Xpress2LSommaire du match
25296Xpress4Warriors3WXSommaire du match
26318Xpress5Smirnoff Ice1WSommaire du match
27326Marmots1Xpress3WSommaire du match
28342Xpress2Chiwawa5LSommaire du match
29359Raptors2Xpress5WSommaire du match
31376Xpress7Supreme1WSommaire du match
32389Vipers4Xpress2LSommaire du match
34408Xpress2Bayou3LSommaire du match
35423Xpress3Barracudas4LSommaire du match
36431Outlaws1Xpress4WSommaire du match
37452Xpress6Igloos3WSommaire du match
38464Goons4Xpress7WSommaire du match
40485Supreme7Xpress5LSommaire du match
41494Xpress4Sags3WSommaire du match
42515Farmers3Xpress7WSommaire du match
43530Xpress3Vandals5LSommaire du match
44543CoolFm3Xpress2LXSommaire du match
45553Xpress4CoolFm5LSommaire du match
46578Thugs3Xpress6WSommaire du match
47589Xpress4Goons0WSommaire du match
48607Spartans4Xpress5WSommaire du match
49618Xpress4Vipers3WSommaire du match
51638Scorpions4Xpress3LXSommaire du match
52652Xpress-Bayou-
53667Xpress-Predateurs-
54674Xpress-Scorpions-
55687TigersCats-Xpress-
56708Vandals-Xpress-
57726Xpress-Grizzlies-
58734Predateurs-Xpress-
59756Sags-Xpress-
61772Xpress-Snowbirds-
62782Xpress-Spartans-
63796Bayou-Xpress-
65822Chiwawa-Xpress-
66836Xpress-Marlies-
67847Xpress-Twins-
69863Xpress-Wolves-
70875Hunters-Xpress-
71892Snowbirds-Xpress-
73913Xpress-Husky-
74920Xpress-Outlaws-
75934Smirnoff Ice-Xpress-
77954Husky-Xpress-
78969Xpress-Thugs-
79985Xpress-Farmers-
80992Warriors-Xpress-
811013Marlies-Xpress-
821029Xpress-Rockets-
841045Xpress-Hunters-
851058Barracudas-Xpress-
871077Bandits-Xpress-
891099Chiwawa-Xpress-
901119Xpress-Twins-
911124Xpress-TigersCats-
921141Rockets-Xpress-
941156Xpress-Raptors-
951170Sags-Xpress-
981198Rockets-Xpress-
991208Xpress-Bandits-
1021227Xpress-Raptors-
1031234Grizzlies-Xpress-
1071260Twins-Xpress-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance41,94420,973
Assistance PCT99.87%99.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
20 2996 - 99.87% 101,865$2,139,162$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,066,852$ 1,965,000$ 1,965,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 830,729$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,037,297$ 57 22,824$ 1,300,968$




Xpress 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

Xpress 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

Xpress 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

Xpress 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

Xpress 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