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Blood Miners
GP: 3 | W: 0 | L: 3 | OTL: 0 | P: 0
GF: 7 | GA: 15 | PP%: 18.18% | PK%: 66.67%
DG: Michael | Morale : 96 | Moyenne d’équipe : N/A
Prochains matchs #53 vs Griffins

Centre de jeu
Blood Miners
0-3-0, 0pts
1
FINAL
5 Crunch
2-1-0, 4pts
Team Stats
L3SéquenceW2
0-1-0Fiche domicile1-0-0
0-2-0Fiche domicile1-1-0
0-3-0Derniers 10 matchs2-1-0
2.33Buts par match 3.67
5.00Buts contre par match 2.67
18.18%Pourcentage en avantage numérique40.00%
66.67%Pourcentage en désavantage numérique55.56%
Blood Miners
0-3-0, 0pts
3
FINAL
4 Gorillas
3-1-0, 6pts
Team Stats
L3SéquenceW2
0-1-0Fiche domicile2-0-0
0-2-0Fiche domicile1-1-0
0-3-0Derniers 10 matchs3-1-0
2.33Buts par match 5.00
5.00Buts contre par match 4.50
18.18%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique63.16%
Griffins
2-0-1, 5pts
Jour 8
Blood Miners
0-3-0, 0pts
Statistiques d’équipe
OTL1SéquenceL3
1-0-1Fiche domicile0-1-0
1-0-0Fiche visiteur0-2-0
2-0-110 derniers matchs0-3-0
4.33Buts par match 2.33
3.67Buts contre par match 2.33
53.85%Pourcentage en avantage numérique18.18%
72.73%Pourcentage en désavantage numérique66.67%
Blood Miners
0-3-0, 0pts
Jour 9
Bills
2-1-0, 4pts
Statistiques d’équipe
L3SéquenceW2
0-1-0Fiche domicile1-0-0
0-2-0Fiche visiteur1-1-0
0-3-010 derniers matchs2-1-0
2.33Buts par match 5.67
5.00Buts contre par match 5.67
18.18%Pourcentage en avantage numérique30.00%
66.67%Pourcentage en désavantage numérique41.67%
Bulldogs
3-0-0, 6pts
Jour 11
Blood Miners
0-3-0, 0pts
Statistiques d’équipe
W3SéquenceL3
2-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-2-0
3-0-010 derniers matchs0-3-0
4.67Buts par match 2.33
3.67Buts contre par match 2.33
50.00%Pourcentage en avantage numérique18.18%
78.26%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Tobias Bjornfot
2
Passes
Adam Ginning
3
Points
Adam Ginning
3
Plus/Moins
Cross Hanas
3
Victoires
Ilya Samsonov
0
Pourcentage d’arrêts
Ilya Samsonov
0.879

Statistiques d’équipe
Buts pour
7
2.33 GFG
Tirs pour
119
39.67 Avg
Pourcentage en avantage numérique
18.2%
2 GF
Début de zone offensive
32.9%
Buts contre
15
5.00 GAA
Tirs contre
124
41.33 Avg
Pourcentage en désavantage numérique
66.7%%
7 GA
Début de la zone défensive
45.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance7,363
Billets de saison800


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 65
Espoirs16


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
1Cross HanasXXX100.00606060606070706060606060604358096002211,312,500$
2Justin Gill (R)X100.0060606060607070606060606060525509600212750,000$
3Lucas Ellinas (R)XX100.0060606060607070606060606060465509700183825,000$
4Lucas Pettersson (R)XX100.00606060606070706060606060604655086001831,500,000$
5Jett Luchanko (R)X100.00606060606070706060606060604655096001831,500,000$
6Samuel FagemoXX100.00606060606070706060606060605361096002421,378,125$
7Ryan WintertonXXX100.00645091716877916762676769654156096002121,023,750$
8Riley KidneyXXX100.00606060606070706060606060604358093002121,023,750$
9Joshua LopinaXXX100.0060606060607070606060606060435809600231866,250$
10Philippe DaoustXXX100.0060606060607070606060606060435809600232735,000$
11Matthew MaggioXX100.0060606060607070606060606060415609600221750,000$
12Landon SimXXX100.0060606060607070606060606060485509601202700,000$
13Tobias BjornfotX100.0061509168758090662568657165485809600232716,625$
14Adam GinningX100.00625085667579926125636070654156096002411,312,500$
15Daniil MiromanovX100.0064509378798483732568677165566009600271655,000$
16Noah BeckX100.0060606060607070606060606060405509600232650,000$
17Artur CholachX100.0060606060607070606060606060415609300211650,000$
18Charle-Edouard DAstousX100.0060606060607070606060606060405509300262650,000$
Rayé
1Aidan Thompson (R)XX100.0060606060607070606060606060465509600222825,000$
2Wojciech StachowiakXX100.0060606060607070606060606060405509600251650,000$
3Amadeus LombardiX100.0060606060607070606060606060415609600211825,000$
4Alexis GendronXXX100.0060606060607070606060606060415609600211650,000$
5Coulson PitreXXX100.00606060606070706060606060604055096012021,250,000$
6William VilleneuveX100.00606060606070706060606060604358096002221,023,750$
7Caleb MacDonaldX100.0060606060607070606060606060405509600222650,000$
8Caden PriceX100.0060606060607070606060606060405509601192975,000$
MOYENNE D’ÉQUIPE100.006058656262727361566161626144560950
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
1Ilya Samsonov100.0074807684756875697575736068096002753,200,000$
2Jacob Fowler (R)100.0060707060606060606060604455096002031,250,000$
Rayé
1Calle Clang100.0060707060606060606060604859098002221,312,500$
2Garin Bjorklund100.006070706060606060606060505709800222735,000$
3Isaac Poulter100.006070706060606060606060415609800251682,500$
MOYENNE D’ÉQUIPE100.00637271656362636263636349590970
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan6177778275761CAN551600,000$


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
1Adam GinningBlood Miners (DAL)D3033-3002612520%56923.0301158011113000%021000.8700000000
2Charle-Edouard DAstousBlood Miners (DAL)D3123-3951124150.00%56120.5210117011012000%013000.9700010000
3Justin GillBlood Miners (DAL)C3112-14057102710.00%15518.4400038101390048.75%8023000.7200000000
4Tobias BjornfotBlood Miners (DAL)D320200003100020.00%47123.7400048000313000%011000.5600000000
5Daniil MiromanovBlood Miners (DAL)D30220550410240%56923.2100038000013000%024000.5700001000
6Matthew MaggioBlood Miners (DAL)LW/RW3022200203020%0248.190000000000000%000001.6300000000
7Landon SimBlood Miners (DAL)C/LW/RW31120955163616.67%24615.6201118000000050.00%202000.8500001000
8Samuel FagemoBlood Miners (DAL)LW/RW3011095234270%05819.41011080000110033.33%321000.3400001000
9Ryan WintertonBlood Miners (DAL)C/LW/RW31010205513397.69%16020.02101480001110046.43%8441000.3300000000
10Riley KidneyBlood Miners (DAL)C/LW/RW3101-2756241225.00%04314.390001700000000%100000.4600010000
11Artur CholachBlood Miners (DAL)D3011095042210%44314.620000000001000%011000.4600010000
12Cross HanasBlood Miners (DAL)C/LW/RW3000300547050%13311.00000000000300100.00%10000000000000
13Lucas EllinasBlood Miners (DAL)C/LW3000-21610559170%25317.7900018000090020.00%50100000101000
14Lucas PetterssonBlood Miners (DAL)C/LW3000-420165010%03411.6500011000000038.89%363300000000000
15Jett LuchankoBlood Miners (DAL)C3000220337020%03210.7700001000000047.06%172000000000000
16Joshua LopinaBlood Miners (DAL)C/LW/RW3000-440315130%03812.9600000000040040.00%52000000000000
17Philippe DaoustBlood Miners (DAL)C/LW/RW3000-41210026140%13010.150000000000000%00000000002000
18Noah BeckBlood Miners (DAL)D300001210144000%74214.110000100000000%00000000101000
Statistiques d’équipe totales ou en moyenne5471320-1610260466111927635.88%3886816.09235248712381040045.30%2342221000.4600237000
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
1Ilya SamsonovBlood Miners (DAL)30300.8795.03179001512450000030000
Statistiques d’équipe totales ou en moyenne30300.8795.0317900151245000030000


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)D242000-01-13SWENo196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No---------------------------
Aidan ThompsonBlood Miners (DAL)C/LW222002-02-18USAYes181 Lbs5 ft9NoNoProspectNoNo22025-08-20FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Alexis GendronBlood Miners (DAL)C/LW/RW212003-12-30CANNo178 Lbs6 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Amadeus LombardiBlood Miners (DAL)C212003-06-05CANNo178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm825,000$794,282$82,500$79,428$No---------------------------
Artur CholachBlood Miners (DAL)D212003-06-06UKRNo193 Lbs7 ft7NoNoTrade2024-12-30NoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Caden PriceBlood Miners (DAL)D192005-08-24CANNo181 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Caleb MacDonaldBlood Miners (DAL)D222002-11-29CANNo229 Lbs6 ft4NoNoFree AgentNoNo22025-06-11FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Calle ClangBlood Miners (DAL)G222002-05-20SWENo190 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No1,312,500$--------1,312,500$--------No--------
Charle-Edouard DAstousBlood Miners (DAL)D261998-04-21SWENo187 Lbs6 ft2NoNoFree AgentNoNo22025-06-11FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Coulson PitreBlood Miners (DAL)C/LW/RW202004-12-13CANNo172 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$--------1,250,000$--------No--------
Cross HanasBlood Miners (DAL)C/LW/RW222002-01-05CANNo172 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No---------------------------
Daniil Miromanov (contrat à 1 volet)Blood Miners (DAL)D271997-07-11RUSNo207 Lbs6 ft4NoNoTrade2025-05-21NoNo1FalseFalsePro & Farm655,000$630,349$655,000$630,349$No---------------------------
Garin BjorklundBlood Miners (DAL)G222002-05-28CANNo174 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm735,000$707,633$73,500$70,763$No735,000$--------735,000$--------No--------
Ilya Samsonov (contrat à 1 volet)Blood Miners (DAL)G271997-02-22RUSNo208 Lbs6 ft3NoNoN/ANoNo5FalseFalsePro & Farm3,200,000$3,079,570$3,200,000$3,079,570$No3,200,000$3,200,000$3,200,000$3,200,000$-----3,200,000$3,200,000$3,200,000$3,200,000$-----NoNoNoNo-----
Isaac PoulterBlood Miners (DAL)G251999-01-14CANNo174 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Jacob FowlerBlood Miners (DAL)G202004-11-24USAYes214 Lbs6 ft0NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Jett LuchankoBlood Miners (DAL)C182006-08-21CANYes190 Lbs5 ft9NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Joshua LopinaBlood Miners (DAL)C/LW/RW232001-02-16USANo198 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm866,250$833,996$86,625$83,400$No---------------------------
Justin GillBlood Miners (DAL)C212003-01-27CANYes190 Lbs5 ft11NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Landon SimBlood Miners (DAL)C/LW/RW202004-07-17CANNo174 Lbs5 ft11NoNoProspectNoNo22024-08-30FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$--------700,000$--------No--------
Lucas EllinasBlood Miners (DAL)C/LW182006-05-12CANYes185 Lbs5 ft11NoNoDraftNoNo32025-08-20FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Lucas PetterssonBlood Miners (DAL)C/LW182006-04-17SWEYes179 Lbs5 ft9NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Matthew MaggioBlood Miners (DAL)LW/RW222002-11-25CANNo180 Lbs6 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Noah BeckBlood Miners (DAL)D232001-03-25CANNo205 Lbs6 ft3NoNoFree AgentNoNo22025-06-11FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Philippe DaoustBlood Miners (DAL)C/LW/RW232001-11-05CANNo150 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm735,000$707,633$73,500$70,763$No735,000$--------735,000$--------No--------
Riley KidneyBlood Miners (DAL)C/LW/RW212003-03-25CANNo176 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No1,023,750$--------1,023,750$--------No--------
Ryan WintertonBlood Miners (DAL)C/LW/RW212003-09-04CANNo175 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No1,023,750$--------1,023,750$--------No--------
Samuel FagemoBlood Miners (DAL)LW/RW242000-03-14SWENo200 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,378,125$1,326,812$137,812$132,681$No1,378,125$--------1,378,125$--------No--------
Tobias BjornfotBlood Miners (DAL)D232001-04-06SWENo200 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm716,625$689,942$71,662$68,994$No716,625$--------716,625$--------No--------
William VilleneuveBlood Miners (DAL)D222002-03-20CANNo181 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No1,023,750$--------1,023,750$--------No--------
Wojciech StachowiakBlood Miners (DAL)LW/RW251999-07-03GERNo187 Lbs6 ft1NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.03187 Lbs6 ft21.901,000,879$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samuel FagemoRyan WintertonLandon Sim28122
2Lucas EllinasJustin GillRiley Kidney28122
3Joshua LopinaLucas PetterssonPhilippe Daoust25122
4Matthew MaggioJett LuchankoCross Hanas19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovTobias Bjornfot34122
2Adam GinningCharle-Edouard DAstous33122
3Noah BeckArtur Cholach33122
4Daniil MiromanovTobias Bjornfot0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Samuel FagemoRyan WintertonLandon Sim50122
2Lucas EllinasJustin GillRiley Kidney50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovTobias Bjornfot50122
2Adam GinningCharle-Edouard DAstous50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan WintertonSamuel Fagemo50122
2Justin GillLucas Ellinas50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovTobias Bjornfot50122
2Adam GinningCharle-Edouard DAstous50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Winterton50122Daniil MiromanovTobias Bjornfot50122
2Samuel Fagemo50122Adam GinningCharle-Edouard DAstous50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan WintertonSamuel Fagemo50122
2Justin GillLucas Ellinas50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovTobias Bjornfot50122
2Adam GinningCharle-Edouard DAstous50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samuel FagemoRyan WintertonLandon SimDaniil MiromanovTobias Bjornfot
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samuel FagemoRyan WintertonLandon SimDaniil MiromanovTobias Bjornfot
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Pettersson, Jett Luchanko, Joshua LopinaLucas Pettersson, Jett LuchankoJoshua Lopina
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noah Beck, Artur Cholach, Adam GinningNoah BeckArtur Cholach, Adam Ginning
Tirs de pénalité
Ryan Winterton, Samuel Fagemo, Justin Gill, Lucas Ellinas, Lucas Pettersson
Gardien
#1 : Ilya Samsonov, #2 : Jacob Fowler


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
1Crunch1010000015-4000000000001010000015-400.00012300331039393149036132013300.00%5340.00%0327741.56%5610752.34%185036.00%583167295425
2Gorillas1010000034-1000000000001010000034-100.000358003310443931490371237176233.33%6183.33%0327741.56%5610752.34%185036.00%583167295425
3White Wolves1010000036-31010000036-30000000000000.00036900331036393149051134516200.00%10370.00%1327741.56%5610752.34%185036.00%583167295425
Total30300000715-81010000036-32020000049-500.000713200033101193931490124381024611218.18%21766.67%1327741.56%5610752.34%185036.00%583167295425
_Since Last GM Reset30300000715-81010000036-32020000049-500.000713200033101193931490124381024611218.18%21766.67%1327741.56%5610752.34%185036.00%583167295425
_Vs Conference30300000715-81010000036-32020000049-500.000713200033101193931490124381024611218.18%21766.67%1327741.56%5610752.34%185036.00%583167295425
_Vs Division1030000036-31010000036-30020000000000.00036900331036393149051134516200.00%10370.00%1327741.56%5610752.34%185036.00%583167295425

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
30L371320119124381024600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3030000715
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000036
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000049
Derniers 10 matchs
WLOTWOTL SOWSOL
030000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11218.18%21766.67%1
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
39314903310
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
327741.56%5610752.34%185036.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
583167295425


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
15White Wolves6Blood Miners3LSommaire du match
319Blood Miners1Crunch5LSommaire du match
644Blood Miners3Gorillas4LSommaire du match
853Griffins-Blood Miners-
970Blood Miners-Bills-
1185Bulldogs-Blood Miners-
14104Blood Miners-Roadrunners-
16114Saints-Blood Miners-
18136Eagles-Blood Miners-
20151Blood Miners-Eagles-
24175Silver Knights-Blood Miners-
27196Crunch-Blood Miners-
29212Blood Miners-Mountaineers-
33231Octopus-Blood Miners-
35243Blood Miners-Wolves-
36257Blood Miners-Redhawks-
39270Wolf Pack-Blood Miners-
42295Bulldogs-Blood Miners-
44307Blood Miners-Bulldogs-
46316Blood Miners-Mountaineers-
48331Saints-Blood Miners-
50349Blood Miners-Crunch-
52363Bulldogs-Blood Miners-
54382Blood Miners-Penguins-
56395Saints-Blood Miners-
58413Blood Miners-Crunch-
60428Crunch-Blood Miners-
62440Blood Miners-Saints-
65462Blood Miners-Reign-
66469White Wolves-Blood Miners-
69488Blood Miners-Rocket-
71497Blood Miners-Bulldogs-
72505Griffins-Blood Miners-
75527Blood Miners-Eagles-
76536Griffins-Blood Miners-
79553Blood Miners-Phantoms-
80567Blossom Bytes-Blood Miners-
85595Octopus-Blood Miners-
88618Gorillas-Blood Miners-
91638Blood Miners-Bears-
93654Rocket-Blood Miners-
95672Blood Miners-Gorillas-
97686Blood Miners-Rocket-
98694Admirals-Blood Miners-
100711Blood Miners-Rams-
102722Titans-Blood Miners-
106752Mountaineers-Blood Miners-
109775Blood Miners-Reign-
110784Redhawks-Blood Miners-
114808Moose-Blood Miners-
118837Phantoms-Blood Miners-
121862Blood Miners-Gorillas-
122869Silver Knights-Blood Miners-
125890Blood Miners-Grisards-
126901Blood Miners-Bills-
127907Gorillas-Blood Miners-
131935Eagles-Blood Miners-
133952Blood Miners-Silver Knights-
135964Blood Miners-Bills-
136972Senators-Blood Miners-
140999Eagles-Blood Miners-
1421016Blood Miners-Norsemen-
1441029Blood Miners-Octopus-
1451035Americans-Blood Miners-
1481062Roadrunners-Blood Miners-
1501076Blood Miners-Grisards-
1521092Admirals-Blood Miners-
1531099Blood Miners-Griffins-
1561123Roadrunners-Blood Miners-
1571129Blood Miners-Whalers-
1611156Reign-Blood Miners-
1631170Blood Miners-Griffins-
1661189White Wolves-Blood Miners-
1671193Blood Miners-Redhawks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1691211Blood Miners-White Wolves-
1721224Bills-Blood Miners-
1741239Blood Miners-Wolves-
1771255Gulls-Blood Miners-
1791269Blood Miners-White Wolves-
1801271Blood Miners-Roadrunners-
1841296Bills-Blood Miners-
1851303Blood Miners-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3415
Assistance2,2965,067
Assistance PCT91.84%92.13%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 7363 - 92.04% 184,883$184,883$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
123,515$ 2,717,224$ 2,717,224$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,645$ 123,515$ 30 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,395,320$ 181 17,645$ 3,193,745$




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