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Blood Miners
GP: 30 | W: 14 | L: 14 | OTL: 2 | P: 30
GF: 90 | GA: 104 | PP%: 22.52% | PK%: 69.72%
DG: Michael | Morale : 97 | Moyenne d’équipe : N/A
Prochains matchs #488 vs Rocket

Centre de jeu
Blood Miners
14-14-2, 30pts
2
FINAL
6 Reign
16-10-4, 36pts
Team Stats
L2SéquenceW2
9-5-1Fiche domicile6-7-2
5-9-1Fiche domicile10-3-2
5-5-0Derniers 10 matchs6-3-1
3.00Buts par match 3.50
3.47Buts contre par match 3.60
22.52%Pourcentage en avantage numérique24.03%
69.72%Pourcentage en désavantage numérique67.86%
White Wolves
15-12-5, 35pts
6
FINAL
2 Blood Miners
14-14-2, 30pts
Team Stats
L1SéquenceL2
5-7-3Fiche domicile9-5-1
10-5-2Fiche domicile5-9-1
5-3-2Derniers 10 matchs5-5-0
3.72Buts par match 3.00
3.22Buts contre par match 3.47
28.48%Pourcentage en avantage numérique22.52%
74.51%Pourcentage en désavantage numérique69.72%
Blood Miners
14-14-2, 30pts
Jour 69
Rocket
8-19-2, 18pts
Statistiques d’équipe
L2SéquenceSOL1
9-5-1Fiche domicile5-10-0
5-9-1Fiche visiteur3-9-2
5-5-010 derniers matchs2-6-2
3.00Buts par match 2.90
3.47Buts contre par match 2.90
22.52%Pourcentage en avantage numérique21.49%
69.72%Pourcentage en désavantage numérique69.18%
Blood Miners
14-14-2, 30pts
Jour 71
Bulldogs
16-12-2, 34pts
Statistiques d’équipe
L2SéquenceL2
9-5-1Fiche domicile8-7-0
5-9-1Fiche visiteur8-5-2
5-5-010 derniers matchs4-6-0
3.00Buts par match 3.37
3.47Buts contre par match 3.37
22.52%Pourcentage en avantage numérique34.65%
69.72%Pourcentage en désavantage numérique73.10%
Griffins
12-12-5, 29pts
Jour 72
Blood Miners
14-14-2, 30pts
Statistiques d’équipe
L2SéquenceL2
4-7-5Fiche domicile9-5-1
8-5-0Fiche visiteur5-9-1
2-5-310 derniers matchs5-5-0
3.07Buts par match 3.00
3.24Buts contre par match 3.00
33.33%Pourcentage en avantage numérique22.52%
76.47%Pourcentage en désavantage numérique69.72%
Meneurs d'équipe
Buts
Lucas Ellinas
12
Passes
Daniil Miromanov
23
Points
Ryan Winterton
29
Plus/Moins
Cross Hanas
5
Victoires
Ilya Samsonov
12
Pourcentage d’arrêts
Jacob Fowler
0.955

Statistiques d’équipe
Buts pour
90
3.00 GFG
Tirs pour
955
31.83 Avg
Pourcentage en avantage numérique
22.5%
25 GF
Début de zone offensive
36.8%
Buts contre
104
3.47 GAA
Tirs contre
924
30.80 Avg
Pourcentage en désavantage numérique
69.7%%
43 GA
Début de la zone défensive
39.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance6,911
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 HanasXXX100.00606060606070706060606060604358080002211,312,500$
2Justin Gill (R)X100.0060606060607070606060606060525507900212750,000$
3Lucas Ellinas (R)XX100.0060606060607070606060606060465508300183825,000$
4Lucas Pettersson (R)XX100.00606060606070706060606060604655081001831,500,000$
5Jett Luchanko (R)X100.00606060606070706060606060604655083001831,500,000$
6Samuel FagemoXX100.00606060606070706060606060605361085002421,378,125$
7Ryan WintertonXXX100.00645091716877916762676769654156082002121,023,750$
8Riley KidneyXXX100.00606060606070706060606060604358081002121,023,750$
9Joshua LopinaXXX100.0060606060607070606060606060435808300231866,250$
10Philippe DaoustXXX100.0060606060607070606060606060435807900232735,000$
11Wojciech StachowiakXX100.0060606060607070606060606060405508300251650,000$
12Landon SimXXX100.0060606060607070606060606060485508801202700,000$
13Tobias BjornfotX100.0061509168758090662568657165485808000232716,625$
14Adam GinningX100.00625085667579926125636070654156088002411,312,500$
15William VilleneuveX100.00606060606070706060606060604358085002221,023,750$
16Daniil MiromanovX100.0064509378798483732568677165566008100271655,000$
17Noah BeckX100.0060606060607070606060606060405508100232650,000$
18Charle-Edouard DAstousX100.0060606060607070606060606060405507900262650,000$
Rayé
1Aidan Thompson (R)XX100.0060606060607070606060606060465507100222825,000$
2Matthew MaggioXX100.0060606060607070606060606060415608000221750,000$
3Amadeus LombardiX100.0060606060607070606060606060415606900211825,000$
4Alexis GendronXXX100.0060606060607070606060606060415606900211650,000$
5Coulson PitreXXX100.00606060606070706060606060604055069012021,250,000$
6Artur CholachX100.0060606060607070606060606060415608500211650,000$
7Caleb MacDonaldX100.0060606060607070606060606060405506600222650,000$
8Caden PriceX100.0060606060607070606060606060405507501192975,000$
MOYENNE D’ÉQUIPE100.006058656262727361566161626144560790
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 Samsonov100.0074807684756875697575736068088002753,200,000$
2Jacob Fowler (R)100.0060707060606060606060604455082002031,250,000$
Rayé
1Calle Clang100.0060707060606060606060604859084002221,312,500$
2Garin Bjorklund100.006070706060606060606060505708400222735,000$
3Isaac Poulter100.006070706060606060606060415608500251682,500$
MOYENNE D’ÉQUIPE100.00637271656362636263636349590850
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
1Ryan WintertonBlood Miners (DAL)C/LW/RW2911182921210485211648839.48%2263421.87471115751017841045.83%5872411000.9115101211
2Daniil MiromanovBlood Miners (DAL)D28323263353512489346493.23%4163522.7038112272011491000%02918000.8200106210
3Lucas EllinasBlood Miners (DAL)C/LW3012921411070493687165613.79%954718.252356741012710128.95%38145000.7722635112
4Landon SimBlood Miners (DAL)C/LW/RW3010102006925442848162620.83%1245515.184599610001141054.55%4476000.8801203020
5Justin GillBlood Miners (DAL)C26514191694544456317457.94%1745417.490559651126680044.80%4331011000.8414225010
6Samuel FagemoBlood Miners (DAL)LW/RW3071219-25830533847174014.89%1356518.863587800111740154.84%3196000.6736015101
7Riley KidneyBlood Miners (DAL)C/LW/RW309101916945411648172518.75%944914.97358964000000246.15%1380000.8500261101
8Jett LuchankoBlood Miners (DAL)C304711-11185051335114397.84%1044314.77000026000000244.10%32265000.5001523010
9Adam GinningBlood Miners (DAL)D303811-5121025524217207.14%4869323.102461281011197200%01615000.3211101001
10Charle-Edouard DAstousBlood Miners (DAL)D302810-162203126341695.88%2961920.66112272011275000%01118000.3200130101
11Lucas PetterssonBlood Miners (DAL)C/LW25639-16220312645141813.33%429911.99112519000082053.13%19267010.6000202101
12Tobias BjornfotBlood Miners (DAL)D24459-4372515355221207.69%2252321.812021156000481100%0915000.3400005011
13Cross HanasBlood Miners (DAL)C/LW/RW302465713538254112274.88%1337412.500000170001201047.06%5146000.3200133002
14Joshua LopinaBlood Miners (DAL)C/LW/RW30325-9463032246415344.69%641913.97000220000311149.02%5173000.2400132000
15Artur CholachBlood Miners (DAL)D210554392517221810170%2434816.600000700008000%064000.2900320000
16Matthew MaggioBlood Miners (DAL)LW/RW1522441210162165512.50%41359.0100000000000042.86%733000.5900200000
17Austin WatsonStarsLW/RW111230101010161413127.14%213812.61011110000060048.08%5271000.4300002000
18William VilleneuveBlood Miners (DAL)D180220513517149660%1133518.62011022000123000%034000.1200223000
19Philippe DaoustBlood Miners (DAL)C/LW/RW28112-962302418347312.94%731111.1100001000000060.00%1085000.1300213000
20Noah BeckBlood Miners (DAL)D23022337252022247110%2539317.13011119000010000%088000.1000203000
21Aidan ThompsonBlood Miners (DAL)C/LW2000020220010%0115.5800000000000033.33%30000000000000
22Wojciech StachowiakBlood Miners (DAL)LW/RW14000000115210%0231.680000000000000%21000000000000
23Caleb MacDonaldBlood Miners (DAL)D2000100010000%22814.130000000000000%00100000000000
24Caden PriceBlood Miners (DAL)D4000120264130%16416.100000000000000%01100000000000
Statistiques d’équipe totales ou en moyenne54085147232-310455856235889553375788.90%331890516.49254772111834358307729746.24%1836197153010.528203628539811
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)27121410.8823.6215104291771382100.85020264401
2Jacob FowlerBlood Miners (DAL)72010.9551.37262006133830000419101
3Calle ClangBlood Miners (DAL)10000.7147.0634004146000002000
4Isaac PoulterBlood Miners (DAL)10000.6675.712100263000005000
Statistiques d’équipe totales ou en moyenne36141420.8893.3818294210392447410203030502


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$837,766$131,250$83,777$No---------------------------
Aidan ThompsonBlood Miners (DAL)C/LW222002-02-18USAYes181 Lbs5 ft9NoNoProspectNoNo22025-08-20FalseFalsePro & Farm825,000$526,596$82,500$52,660$No825,000$--------825,000$--------No--------
Alexis GendronBlood Miners (DAL)C/LW/RW212003-12-30CANNo178 Lbs6 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
Amadeus LombardiBlood Miners (DAL)C212003-06-05CANNo178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm825,000$526,596$82,500$52,660$No---------------------------
Artur CholachBlood Miners (DAL)D212003-06-06UKRNo193 Lbs7 ft7NoNoTrade2024-12-30NoNo1FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
Caden PriceBlood Miners (DAL)D192005-08-24CANNo181 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$622,340$97,500$62,234$No975,000$--------975,000$--------No--------
Caleb MacDonaldBlood Miners (DAL)D222002-11-29CANNo229 Lbs6 ft4NoNoFree AgentNoNo22025-06-11FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Calle ClangBlood Miners (DAL)G222002-05-20SWENo190 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$837,766$131,250$83,777$No1,312,500$--------1,312,500$--------No--------
Charle-Edouard DAstousBlood Miners (DAL)D261998-04-21SWENo187 Lbs6 ft2NoNoFree AgentNoNo22025-06-11FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Coulson PitreBlood Miners (DAL)C/LW/RW202004-12-13CANNo172 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$797,872$125,000$79,787$No1,250,000$--------1,250,000$--------No--------
Cross HanasBlood Miners (DAL)C/LW/RW222002-01-05CANNo172 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,312,500$837,766$131,250$83,777$No---------------------------
Daniil Miromanov (contrat à 1 volet)Blood Miners (DAL)D271997-07-11RUSNo207 Lbs6 ft4NoNoTrade2025-05-21NoNo1FalseFalsePro & Farm655,000$415,538$655,000$415,538$No---------------------------
Garin BjorklundBlood Miners (DAL)G222002-05-28CANNo174 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm735,000$469,149$73,500$46,915$No735,000$--------735,000$--------No--------
Ilya Samsonov (contrat à 1 volet)Blood Miners (DAL)G271997-02-22RUSNo208 Lbs6 ft3NoNoN/ANoNo5FalseFalsePro & Farm3,200,000$2,030,108$3,200,000$2,030,108$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$435,638$68,250$43,564$No---------------------------
Jacob FowlerBlood Miners (DAL)G202004-11-24USAYes214 Lbs6 ft0NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,250,000$797,872$125,000$79,787$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$957,447$150,000$95,745$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$552,926$86,625$55,293$No---------------------------
Justin GillBlood Miners (DAL)C212003-01-27CANYes190 Lbs5 ft11NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$478,723$75,000$47,872$No750,000$--------750,000$--------No--------
Landon SimBlood Miners (DAL)C/LW/RW202004-07-17CANNo174 Lbs5 ft11NoNoProspectNoNo22024-08-30FalseFalsePro & Farm700,000$446,809$70,000$44,681$No700,000$--------700,000$--------No--------
Lucas EllinasBlood Miners (DAL)C/LW182006-05-12CANYes185 Lbs5 ft11NoNoDraftNoNo32025-08-20FalseFalsePro & Farm825,000$526,596$82,500$52,660$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Lucas PetterssonBlood Miners (DAL)C/LW182006-04-17SWEYes179 Lbs5 ft9NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$957,447$150,000$95,745$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$478,723$75,000$47,872$No---------------------------
Noah BeckBlood Miners (DAL)D232001-03-25CANNo205 Lbs6 ft3NoNoFree AgentNoNo22025-06-11FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Philippe DaoustBlood Miners (DAL)C/LW/RW232001-11-05CANNo150 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm735,000$469,149$73,500$46,915$No735,000$--------735,000$--------No--------
Riley KidneyBlood Miners (DAL)C/LW/RW212003-03-25CANNo176 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$653,457$102,375$65,346$No1,023,750$--------1,023,750$--------No--------
Ryan WintertonBlood Miners (DAL)C/LW/RW212003-09-04CANNo175 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$653,457$102,375$65,346$No1,023,750$--------1,023,750$--------No--------
Samuel FagemoBlood Miners (DAL)LW/RW242000-03-14SWENo200 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,378,125$879,654$137,812$87,965$No1,378,125$--------1,378,125$--------No--------
Tobias BjornfotBlood Miners (DAL)D232001-04-06SWENo200 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm716,625$457,420$71,662$45,742$No716,625$--------716,625$--------No--------
William VilleneuveBlood Miners (DAL)D222002-03-20CANNo181 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$653,457$102,375$65,346$No1,023,750$--------1,023,750$--------No--------
Wojciech StachowiakBlood Miners (DAL)LW/RW251999-07-03GERNo187 Lbs6 ft1NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm650,000$414,894$65,000$41,489$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
1Jett LuchankoRyan WintertonCross Hanas28122
2Lucas EllinasJustin GillSamuel Fagemo28122
3Landon SimLucas PetterssonRiley Kidney25122
4Joshua LopinaJett LuchankoPhilippe Daoust19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovAdam Ginning28122
2Charle-Edouard DAstousNoah Beck28122
3Tobias BjornfotWilliam Villeneuve25122
4Daniil MiromanovAdam Ginning19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jett LuchankoRyan WintertonCross Hanas50122
2Lucas EllinasJustin GillSamuel Fagemo50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovAdam Ginning50122
2Charle-Edouard DAstousNoah Beck50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas EllinasRyan Winterton50122
2Cross HanasJustin Gill50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovAdam Ginning50122
2Charle-Edouard DAstousNoah Beck50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Gill50122Daniil MiromanovAdam Ginning50122
2Ryan Winterton50122Charle-Edouard DAstousNoah Beck50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jett LuchankoRyan Winterton50122
2Cross HanasJustin Gill50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MiromanovAdam Ginning50122
2Charle-Edouard DAstousNoah Beck50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin GillRyan WintertonCross HanasDaniil MiromanovAdam Ginning
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin GillRyan WintertonCross HanasDaniil MiromanovAdam Ginning
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Pettersson, Jett Luchanko, Landon SimLucas Pettersson, Jett LuchankoLandon Sim
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniil Miromanov, William Villeneuve, Charle-Edouard DAstousAdam GinningWilliam Villeneuve, Charle-Edouard DAstous
Tirs de pénalité
Lucas Pettersson, Ryan Winterton, Cross Hanas, Justin Gill, Lucas Ellinas
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
1Bills1000000123-1000000000001000000123-110.500246002533277383093173232530847174250.00%6266.67%030667545.33%35072948.01%19343244.68%597290596311636309
2Bulldogs411000201314-13100002011831010000026-460.75013203300253327714730931732325143451658913430.77%20765.00%030667545.33%35072948.01%19343244.68%597290596311636309
3Crunch513000101319-62110000099030200010410-640.40013233602253327711330931732325108489610615426.67%181044.44%130667545.33%35072948.01%19343244.68%597290596311636309
4Eagles21100000761110000004221010000034-120.500711180025332777230931732325813320356116.67%10280.00%130667545.33%35072948.01%19343244.68%597290596311636309
5Gorillas1010000034-1000000000001010000034-100.0003580025332774430931732325371237176233.33%6183.33%030667545.33%35072948.01%19343244.68%597290596311636309
6Griffins11000000422110000004220000000000021.00045900253327740309317323253085322400.00%4175.00%030667545.33%35072948.01%19343244.68%597290596311636309
7Mountaineers20200000511-60000000000020200000511-600.00057120025332775930931732325512073474125.00%9544.44%030667545.33%35072948.01%19343244.68%597290596311636309
8Octopus1010000025-31010000025-30000000000000.000235002533277373093173232535161918400.00%7357.14%030667545.33%35072948.01%19343244.68%597290596311636309
9Penguins1010000013-2000000000001010000013-200.00011200253327726309317323251951519600.00%5260.00%030667545.33%35072948.01%19343244.68%597290596311636309
10Redhawks10000010321000000000001000001032121.000347002533277333093173232532112116300.00%3166.67%030667545.33%35072948.01%19343244.68%597290596311636309
11Reign1010000026-4000000000001010000026-400.0002350025332773130931732325311328196233.33%4175.00%030667545.33%35072948.01%19343244.68%597290596311636309
12Roadrunners11000000413000000000001100000041321.0004610002533277523093173232539122822300.00%40100.00%030667545.33%35072948.01%19343244.68%597290596311636309
13Saints411001101513230100110810-21100000073450.62515254000253327711030931732325132502078020420.00%16381.25%030667545.33%35072948.01%19343244.68%597290596311636309
14Silver Knights11000000514110000005140000000000021.00051015002533277423093173232525930346233.33%50100.00%030667545.33%35072948.01%19343244.68%597290596311636309
15White Wolves20200000512-720200000512-70000000000000.000510150025332776630931732325912211140500.00%13469.23%130667545.33%35072948.01%19343244.68%597290596311636309
16Wolf Pack11000000211110000002110000000000021.0002350025332771630931732325211052192150.00%60100.00%030667545.33%35072948.01%19343244.68%597290596311636309
17Wolves11000000413000000000001100000041321.0004711002533277293093173232519947234250.00%6183.33%030667545.33%35072948.01%19343244.68%597290596311636309
Total309140015190104-14156500130505001539000214054-14300.500901472370225332779553093173232592433110496231112522.52%1424369.72%330667545.33%35072948.01%19343244.68%597290596311636309
_Since Last GM Reset309140015190104-14156500130505001539000214054-14300.500901472370225332779553093173232592433110496231112522.52%1424369.72%330667545.33%35072948.01%19343244.68%597290596311636309
_Vs Conference27713001518399-161455001304849-11328000213550-15260.4818313621902253327788430931732325865307935562992222.22%1254068.00%330667545.33%35072948.01%19343244.68%597290596311636309
_Vs Division947000312933-4633000202022-231400011911-2150.8332947760025332773373093173232535411232418627518.52%471372.34%230667545.33%35072948.01%19343244.68%597290596311636309

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3030L290147237955924331104962302
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
30914015190104
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
156501305050
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
153900214054
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1112522.52%1424369.72%3
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
309317323252533277
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
30667545.33%35072948.01%19343244.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
597290596311636309


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
853Griffins2Blood Miners4WSommaire du match
970Blood Miners2Bills3LXXSommaire du match
1185Bulldogs2Blood Miners3WXXSommaire du match
14104Blood Miners4Roadrunners1WSommaire du match
16114Saints2Blood Miners1LXSommaire du match
18136Eagles2Blood Miners4WSommaire du match
20151Blood Miners3Eagles4LSommaire du match
24175Silver Knights1Blood Miners5WSommaire du match
27196Crunch9Blood Miners4LSommaire du match
29212Blood Miners4Mountaineers8LSommaire du match
33231Octopus5Blood Miners2LSommaire du match
35243Blood Miners4Wolves1WSommaire du match
36257Blood Miners3Redhawks2WXXSommaire du match
39270Wolf Pack1Blood Miners2WSommaire du match
42295Bulldogs2Blood Miners3WXXSommaire du match
44307Blood Miners2Bulldogs6LSommaire du match
46316Blood Miners1Mountaineers3LSommaire du match
48331Saints3Blood Miners4WXXSommaire du match
50349Blood Miners2Crunch5LSommaire du match
52363Bulldogs4Blood Miners5WSommaire du match
54382Blood Miners1Penguins3LSommaire du match
56395Saints5Blood Miners3LSommaire du match
58413Blood Miners1Crunch0WXXSommaire du match
60428Crunch0Blood Miners5WSommaire du match
62440Blood Miners7Saints3WSommaire du match
65462Blood Miners2Reign6LSommaire du match
66469White Wolves6Blood Miners2LSommaire du match
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
Assistance33,37570,288
Assistance PCT89.00%85.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 6911 - 86.39% 175,126$2,626,884$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,177,777$ 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$ 1,177,777$ 30 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,553,266$ 120 17,645$ 2,117,400$




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