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Blood Miners
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Michael | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #14 vs Crunch

Blood Miners
0-0-0, 0pts
Jour 2
Crunch
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Bulldogs
0-0-0, 0pts
Jour 3
Blood Miners
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
White Wolves
0-0-0, 0pts
Jour 6
Blood Miners
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMichael
EntraîneurGlen Gulutzan
DivisionCentral Division
ConférenceWestern Conference
CapitaineAdam Ginning
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,500
Assistance
Billets de saison850


Informations de la formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 65
Espoirs19


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
1Felix TrudeauXX100.0060606060607070606060606060526209900232700,000$
2Lucas WahlinXX100.0060606060607070606060606060546309900241675,000$
3Aidan ThompsonXXX100.0060606060607070606060606060525909900231825,000$
4Avery HayesXXX100.0063648473687888706169716965596309900232875,000$
5Owen MichaelsXXX100.0060606060607070606060606060526209900232975,000$
6Cross HanasXXX100.00606060606070706060606060604962099002311,378,125$
7Justin GillX100.0060606060607070606060606060585909900221750,000$
8Lucas PetterssonXXX100.00606060606070706060606060605259099001921,500,000$
9Riley KidneyXXX100.00606060606070706060606060604962099002211,023,750$
10Coulson PitreXXX100.00606060606070706060606060604659099012111,250,000$
11Radim MrtkaX100.00606060606070706060606060605061099001831,850,000$
12Hayes HundleyX100.0060606060607070606060606060506109900202650,000$
13George FegarasX100.0060606060607070606060606060485909900213800,000$
14Adam Ginning (C)X100.00605089627582856225636273654358099002511,378,125$
15William VilleneuveX100.00605085717084906425666270654560099002311,023,750$
16Noah BeckX100.0060606060607070606060606060465909900241650,000$
17Caleb MacDonaldX100.0060606060607070606060606060465909900231650,000$
18Caden PriceX100.0060606060607070606060606060465909901201975,000$
Rayé
1Ryden EversXXX100.0060606060607070606060606060486009900202700,000$
2Lucas EllinasXXX100.0060606060607070606060606060525909900192825,000$
3Jett LuchankoX100.00606060606070706060606060605259099001921,500,000$
4Philippe DaoustXXX100.0060606060607070606060606060496209900241735,000$
5Oskar OlaussonXX100.0060606060607070606060606060505909900232650,000$
6Matthew MaggioXX100.0060606060607070606060606060476009900232800,000$
7Amadeus LombardiX100.0060606060607070606060606060476009900222866,250$
8Alexis GendronXXX100.0060606060607070606060606060476009900222800,000$
9Landon SimXXX100.0060606060607070606060606060545909901211700,000$
MOYENNE D’ÉQUIPE100.006059636161717261576161616150600990
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
1Tobias Normann100.006070706060606060606060556409900241700,000$
2Garin Bjorklund100.006070706060606060606060596309900231735,000$
Rayé
1Calle Clang100.0060707060606060606060605765099002311,312,500$
2Trey Augustine100.0060707060606060606060605564099002031,850,000$
3Isaac Poulter100.006070706060606060606060506209900242800,000$
MOYENNE D’ÉQUIPE100.00607070606060606060606055640990
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan7686819175771CAN561600,000$


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam GinningBlood Miners (DAL)D252000-01-13SWENo196 Lbs6 ft3NoNoN/ANoNo12026-08-01FalseFalsePro & Farm1,378,125$1,378,125$137,812$137,812$No---------------------------
Aidan ThompsonBlood Miners (DAL)C/LW/RW232002-02-18USANo181 Lbs5 ft9NoNoProspectNoNo12025-08-20FalseFalsePro & Farm825,000$825,000$82,500$82,500$No---------------------------
Alexis GendronBlood Miners (DAL)C/LW/RW222003-12-30CANNo178 Lbs6 ft10NoNoN/ANoNo22026-08-01FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Amadeus LombardiBlood Miners (DAL)C222003-06-05CANNo178 Lbs6 ft3NoNoN/ANoNo22026-08-01FalseFalsePro & Farm866,250$866,250$86,625$86,625$No866,250$--------866,250$--------No--------
Avery HayesBlood Miners (DAL)C/LW/RW232002-10-10USANo180 Lbs5 ft10NoNoAssign ManuallyNoNo22026-02-12FalseFalsePro & Farm875,000$875,000$87,500$87,500$No875,000$--------875,000$--------No--------
Caden PriceBlood Miners (DAL)D202005-08-24CANNo181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$975,000$97,500$97,500$No---------------------------
Caleb MacDonaldBlood Miners (DAL)D232002-11-29CANNo229 Lbs6 ft4NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm650,000$650,000$65,000$65,000$No---------------------------
Calle ClangBlood Miners (DAL)G232002-05-20SWENo190 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,312,500$1,312,500$131,250$131,250$No---------------------------
Coulson PitreBlood Miners (DAL)C/LW/RW212004-12-13CANNo172 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,250,000$125,000$125,000$No---------------------------
Cross HanasBlood Miners (DAL)C/LW/RW232002-01-05CANNo172 Lbs6 ft1NoNoN/ANoNo12026-08-01FalseFalsePro & Farm1,378,125$1,378,125$137,812$137,812$No---------------------------
Felix Trudeau (contrat à 1 volet)Blood Miners (DAL)LW/RW232002-09-24CANNo190 Lbs6 ft0NoNoAssign ManuallyNoNo22026-03-26FalseFalsePro & Farm700,000$700,000$700,000$700,000$No700,000$--------700,000$--------No--------
Garin BjorklundBlood Miners (DAL)G232002-05-28CANNo174 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm735,000$735,000$73,500$73,500$No---------------------------
George FegarasBlood Miners (DAL)D212004-04-26CANNo212 Lbs6 ft0NoNoAssign ManuallyNoNo32026-08-17FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Hayes HundleyBlood Miners (DAL)D202005-03-22USANo207 Lbs6 ft1NoNoAssign ManuallyNoNo22026-03-30FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$--------650,000$--------No--------
Isaac PoulterBlood Miners (DAL)G242001-09-12CANNo174 Lbs6 ft2NoNoN/ANoNo22026-08-18FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Jett LuchankoBlood Miners (DAL)C192006-08-21CANNo190 Lbs5 ft9NoNoDraftNoNo22025-08-20FalseFalsePro & Farm1,500,000$1,500,000$150,000$150,000$No1,500,000$--------1,500,000$--------No--------
Justin GillBlood Miners (DAL)C222003-01-27CANNo190 Lbs5 ft11NoNoProspectNoNo12025-08-20FalseFalsePro & Farm750,000$750,000$75,000$75,000$No---------------------------
Landon SimBlood Miners (DAL)C/LW/RW212004-07-17CANNo174 Lbs5 ft11NoNoProspectNoNo12024-08-30FalseFalsePro & Farm700,000$700,000$70,000$70,000$No---------------------------
Lucas EllinasBlood Miners (DAL)C/LW/RW192006-05-12CANNo185 Lbs5 ft11NoNoDraftNoNo22025-08-20FalseFalsePro & Farm825,000$825,000$82,500$82,500$No825,000$--------825,000$--------No--------
Lucas PetterssonBlood Miners (DAL)C/LW/RW192006-04-17SWENo179 Lbs5 ft9NoNoDraftNoNo22025-08-20FalseFalsePro & Farm1,500,000$1,500,000$150,000$150,000$No1,500,000$--------1,500,000$--------No--------
Lucas WahlinBlood Miners (DAL)LW/RW242001-05-03USANo170 Lbs5 ft10NoNoAssign ManuallyNoNo12026-03-27FalseFalsePro & Farm675,000$675,000$67,500$67,500$No---------------------------
Matthew MaggioBlood Miners (DAL)LW/RW232002-11-25CANNo180 Lbs6 ft11NoNoN/ANoNo22026-08-01FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Noah BeckBlood Miners (DAL)D242001-03-25CANNo205 Lbs6 ft3NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm650,000$650,000$65,000$65,000$No---------------------------
Oskar OlaussonBlood Miners (DAL)LW/RW232002-11-10SWENo180 Lbs6 ft1NoNoAssign ManuallyNoNo22026-04-20FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$--------650,000$--------No--------
Owen MichaelsBlood Miners (DAL)C/LW/RW232002-05-01USANo179 Lbs5 ft10NoNoAssign ManuallyNoNo22026-04-06FalseFalsePro & Farm975,000$975,000$97,500$97,500$No975,000$--------975,000$--------No--------
Philippe DaoustBlood Miners (DAL)C/LW/RW242001-11-05CANNo150 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm735,000$735,000$73,500$73,500$No---------------------------
Radim MrtkaBlood Miners (DAL)D182007-06-09CZENo218 Lbs6 ft4NoNoAssign ManuallyNoNo32026-07-13FalseFalsePro & Farm1,850,000$1,850,000$185,000$185,000$No1,850,000$1,850,000$-------1,850,000$1,850,000$-------NoNo-------
Riley KidneyBlood Miners (DAL)C/LW/RW222003-03-25CANNo176 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$1,023,750$102,375$102,375$No---------------------------
Ryden EversBlood Miners (DAL)C/LW/RW202005-06-22CANNo192 Lbs6 ft2NoNoAssign ManuallyNoNo22026-03-04FalseFalsePro & Farm700,000$700,000$70,000$70,000$No700,000$--------700,000$--------No--------
Tobias NormannBlood Miners (DAL)G242001-08-03NORNo187 Lbs5 ft11NoNoAssign ManuallyNoNo12026-06-27FalseFalsePro & Farm700,000$700,000$70,000$70,000$No---------------------------
Trey AugustineBlood Miners (DAL)G202005-02-23USANo194 Lbs5 ft11NoNoAssign ManuallyNoNo32026-07-13FalseFalsePro & Farm1,850,000$1,850,000$185,000$185,000$No1,850,000$1,850,000$-------1,850,000$1,850,000$-------NoNo-------
William VilleneuveBlood Miners (DAL)D232002-03-20CANNo183 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$1,023,750$102,375$102,375$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.00186 Lbs6 ft11.59965,703$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Felix TrudeauAvery HayesOwen Michaels28122
2Lucas WahlinJustin GillAidan Thompson28122
3Lucas PetterssonCoulson PitreRiley Kidney25122
4Avery HayesCross HanasFelix Trudeau19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William VilleneuveAdam Ginning28122
2Radim MrtkaHayes Hundley28122
3Caden PriceGeorge Fegaras25122
4Noah BeckCaleb MacDonald19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Felix TrudeauAvery HayesOwen Michaels50122
2Lucas WahlinJustin GillAidan Thompson50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William VilleneuveAdam Ginning50122
2Radim MrtkaHayes Hundley50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Avery HayesFelix Trudeau50122
2Owen MichaelsLucas Wahlin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William VilleneuveAdam Ginning50122
2Radim MrtkaHayes Hundley50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Avery Hayes50122William VilleneuveAdam Ginning50122
2Felix Trudeau50122Radim MrtkaHayes Hundley50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Avery HayesFelix Trudeau50122
2Owen MichaelsLucas Wahlin50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William VilleneuveAdam Ginning50122
2Radim MrtkaHayes Hundley50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Felix TrudeauAvery HayesOwen MichaelsWilliam VilleneuveAdam Ginning
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Felix TrudeauAvery HayesOwen MichaelsWilliam VilleneuveAdam Ginning
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Coulson Pitre, Lucas Pettersson, Riley KidneyCoulson Pitre, Lucas PetterssonRiley Kidney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Caden Price, George Fegaras, Noah BeckCaden PriceGeorge Fegaras, Noah Beck
Tirs de pénalité
Avery Hayes, Felix Trudeau, Owen Michaels, Lucas Wahlin, Justin Gill
Gardien
#1 : Garin Bjorklund, #2 : Tobias Normann


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
214Blood Miners-Crunch-
323Bulldogs-Blood Miners-
648White Wolves-Blood Miners-
861Blood Miners-Roadrunners-
975Blood Miners-Bills-
1191Bills-Blood Miners-
14113Bulldogs-Blood Miners-
15122Blood Miners-Eagles-
16125Blood Miners-Gorillas-
19151Griffins-Blood Miners-
22170Griffins-Blood Miners-
24183Blood Miners-Crunch-
27201Blood Miners-Redhawks-
29214Silver Knights-Blood Miners-
31229Blood Miners-White Wolves-
32238Blood Miners-Roadrunners-
34252Bills-Blood Miners-
37272Blood Miners-Reign-
39285Moose-Blood Miners-
41306Reign-Blood Miners-
43324Blood Miners-Sens-
45337Blood Miners-Gorillas-
47346White Wolves-Blood Miners-
49361Blood Miners-Griffins-
51378Norsemen-Blood Miners-
54396Blood Miners-Reign-
56410Admirals-Blood Miners-
58424Blood Miners-Gorillas-
59438Blood Miners-Saints-
61448Mountaineers-Blood Miners-
64473Eagles-Blood Miners-
67493Blood Miners-Redhawks-
69508Rocket-Blood Miners-
71524Blood Miners-Rams-
72536Blood Miners-Blossom Bytes-
74544Mountaineers-Blood Miners-
77565Blood Miners-Griffins-
78575Saints-Blood Miners-
81597Blood Miners-Mountaineers-
82608Phantoms-Blood Miners-
86633White Wolves-Blood Miners-
89650Blood Miners-Bears-
91668Redhawks-Blood Miners-
93688Blood Miners-Whalers-
95699Bills-Blood Miners-
97715Blood Miners-Bears-
99728Gorillas-Blood Miners-
101740Blood Miners-Grisards-
103761Gorillas-Blood Miners-
105772Blood Miners-Wolf Pack-
107790Americans-Blood Miners-
111818Titans-Blood Miners-
113835Blood Miners-Norsemen-
115850Bulldogs-Blood Miners-
117861Blood Miners-Bills-
120885Silver Knights-Blood Miners-
124911Griffins-Blood Miners-
126925Blood Miners-Crunch-
128942Crunch-Blood Miners-
131968Crunch-Blood Miners-
133983Blood Miners-Silver Knights-
135999Octopus-Blood Miners-
1381015Blood Miners-Eagles-
1401032Gulls-Blood Miners-
1431058Octopus-Blood Miners-
1461080Blood Miners-White Wolves-
1481093Bulldogs-Blood Miners-
1511116Blood Miners-Wolves-
1531124Blood Miners-Roadrunners-
1541129Saints-Blood Miners-
1581156Pens-Blood Miners-
1591166Blood Miners-Octopus-
1631185Roadrunners-Blood Miners-
1641189Blood Miners-Bulldogs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681216Blood Miners-Rocket-
1691222Roadrunners-Blood Miners-
1711235Blood Miners-Rocket-
1721243Blood Miners-Bulldogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité35005000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0%0$0$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,020,249$ 3,020,249$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
20,806$ 0$ 31 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 174 20,806$ 3,620,244$




Blood Miners 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

Blood Miners 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

Blood Miners 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

Blood Miners 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

Blood Miners 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