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Blood Miners
GP: 4 | W: 0 | L: 4
GF: 5 | GA: 14 | PP%: 0.00% | PK%: 68.42%
DG: Michael | Morale : 53 | Moyenne d’équipe : N/A
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Centre de jeu
Blood Miners
0-4-0, 0pts
1
FINAL
2 Cougars
8-4-0, 16pts
Team Stats
L1SéquenceOTL1
0-2-0Fiche domicile4-2-0
0-2-0Fiche domicile4-2-0
0-3-1Derniers 10 matchs6-3-1
1.25Buts par match 3.83
3.50Buts contre par match 2.75
0.00%Pourcentage en avantage numérique35.85%
68.42%Pourcentage en désavantage numérique82.35%
Blood Miners
0-4-0, 0pts
1
FINAL
4 Cougars
8-4-0, 16pts
Team Stats
L1SéquenceOTL1
0-2-0Fiche domicile4-2-0
0-2-0Fiche domicile4-2-0
0-3-1Derniers 10 matchs6-3-1
1.25Buts par match 3.83
3.50Buts contre par match 2.75
0.00%Pourcentage en avantage numérique35.85%
68.42%Pourcentage en désavantage numérique82.35%
Meneurs d'équipe
Buts
Jasper Weatherby
2
Passes
Ryan Winterton
2
Points
Jasper Weatherby
3
Plus/Moins
Cross Hanas
1

Statistiques d’équipe
Buts pour
5
1.25 GFG
Tirs pour
97
24.25 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
34.8%
Buts contre
14
3.50 GAA
Tirs contre
86
21.50 Avg
Pourcentage en désavantage numérique
68.4%%
6 GA
Début de la zone défensive
41.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance7,873
Billets de saison800


Informations de la formation

Équipe Pro35
Équipe Mineure21
Limite contact 56 / 65
Espoirs15


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
1Jasper WeatherbyXXX100.0055555555555555555555555555435805600261866,250$
2Austin WatsonXX100.00807467658975806961656672657172075003221,100,000$
3Cross HanasXXX100.00555555555555555555555555554358081002211,250,000$
4Samuel FagemoXX100.00605090737576886861667167655361079002411,312,500$
5Ross JohnstonXX100.00756478628875906762656570655664062003011,700,000$
6Jeffrey VielXX100.0055555555555555555555555555616307500301684,950$
7Ryan WintertonX100.0062509270687691666165676965415607900211975,000$
8Nick BoninoX100.0062509466757983697565658165676907900361650,000$
9Blake McLaughlinXXX100.00555555555555555555555555554156076002421,312,500$
10Riley KidneyX100.0055555555555555555555555555435807700211975,000$
11Cole KoepkeXX100.0070509370777589676167677065505807000261682,500$
12Joshua LopinaX100.0055555555555555555555555555435807300231825,000$
13Chase PriskieX100.00555555555555555555555555556066079002811,466,625$
14Tobias BjornfotX100.0055555555555555555555555555485807100231682,500$
15Adam GinningX100.00665081667581916525666373654156078002421,312,500$
16William VilleneuveX100.0055555555555555555555555555435807600221975,000$
17Cam DineenX100.00555555555555555555555555556170056002611,260,000$
18Charle-Edouard DAstous (R)X100.0055555555555555555555555555405507500263650,000$
Rayé
1Jeff MalottXX100.00555555555555555555555555555761070002811,466,625$
2Henri NikkanenX100.0055555555555555555555555555435802600231975,000$
3Philippe DaoustXXX100.0055555555555555555555555555435802000231700,000$
4Wojciech Stachowiak (R)XX100.0055555555555555555555555555405502500252650,000$
5Matthew MaggioXX100.0055555555555555555555555555415602100222750,000$
6Amadeus LombardiX100.0055555555555555555555555555415602100212825,000$
7Alexis GendronXXX100.0055555555555555555555555555415602100212650,000$
8Coulson Pitre (R)XXX100.00555555555555555555555555554055025012031,250,000$
9Landon Sim (R)X100.00555555555555555555555555552202101203700,000$
10Noah Beck (R)X100.0055555555555555555555555555405503400233650,000$
11Artur CholachX100.0055555555555555555555555555415603100212650,000$
12Caleb MacDonald (R)X100.0055555555555555555555555555405502200223650,000$
13Caden Price (R)X100.0055555555555555555555555555405503701193975,000$
MOYENNE D’ÉQUIPE100.005855625860606258565758595746570550
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
1Calle Clang100.0055555555555555555555554859066002211,250,000$
2Garin Bjorklund100.005555555555555555555555505708000221700,000$
Rayé
1Antoine Bibeau100.005555555555555555555555717304300301650,000$
2Isaac Poulter100.005555555555555555555555415606100251650,000$
MOYENNE D’ÉQUIPE100.00555555555555555555555553610630
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan7476817973751CAN542600,000$


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
1Jasper WeatherbyBlood Miners (DAL)C/LW/RW4213-2956592222.22%16416.2300001000010016.67%600000.9200100100
2Ryan WintertonBlood Miners (DAL)C4123-3555712478.33%49323.47000090002140042.86%7701000.6400001000
3Austin WatsonBlood Miners (DAL)LW/RW4011-2755575120%39523.78000180000120065.38%2632000.2100001000
4Cross HanasBlood Miners (DAL)C/LW/RW40111601344010%16315.8500000000000061.90%2111000.3200000000
5Samuel FagemoBlood Miners (DAL)LW/RW4011-2004616170%39724.29000580003140055.00%2010000.2100000000
6Cam DineenBlood Miners (DAL)D4011040226130%38120.2500008000214000%021000.2500000000
7Nick BoninoBlood Miners (DAL)C41010001511669.09%08521.37000280000130060.00%2031000.2300000000
8Blake McLaughlinBlood Miners (DAL)C/LW/RW4011-175822000%25914.76000000000000100.00%100000.3400010000
9Cole KoepkeBlood Miners (DAL)LW/RW410100052104710.00%16616.66000390000000100.00%221000.3000000000
10Chase PriskieBlood Miners (DAL)D4000-440444020%310325.9500018000012000%00100000000000
11Tobias BjornfotBlood Miners (DAL)D4000120122110%06917.320000000005000%00000000000000
12Adam GinningBlood Miners (DAL)D4000-320638130%310726.9500018000014000%04300000000000
13Ross JohnstonBlood Miners (DAL)LW/RW4000000200310%0194.840000000000000%00000000000000
14William VilleneuveBlood Miners (DAL)D4000160424120%78421.1900008000110000%00500000000000
15Jeffrey VielBlood Miners (DAL)LW/RW4000040532110%06917.3800008000000025.00%40200000000000
16Jeff MalottBlood Miners (DAL)LW/RW3000000000000%031.240000000000000%00000000000000
17Riley KidneyBlood Miners (DAL)C4000000200000%082.12000000000000100.00%10000000000000
18Noah BeckBlood Miners (DAL)D30000175130000%44013.440000000000000%00200000010000
19Charle-Edouard DAstousBlood Miners (DAL)D1000-155000000%01313.950000000000000%00000000001000
Statistiques d’équipe totales ou en moyenne715813-15783074559730555.15%35122717.29000138900081140051.69%1781620000.2100123100
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
1Garin BjorklundBlood Miners (DAL)20110.8212.971010052817000013000
2Antoine BibeauBlood Miners (DAL)30200.8453.621490095838000030000
Statistiques d’équipe totales ou en moyenne50310.8373.352510014865500043000


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/ANoNo2FalseFalsePro & Farm1,312,500$131,250$0$No1,312,500$--------1,312,500$--------No--------
Alexis GendronBlood Miners (DAL)C/LW/RW212003-12-30CANNo178 Lbs6 ft10NoNoN/ANoNo2FalseFalsePro & Farm650,000$65,000$0$No650,000$--------650,000$--------No--------
Amadeus LombardiBlood Miners (DAL)C212003-06-05CANNo178 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm825,000$82,500$0$No825,000$--------825,000$--------No--------
Antoine BibeauBlood Miners (DAL)G301994-01-05CANNo209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$65,000$0$No---------------------------
Artur CholachBlood Miners (DAL)D212003-06-06UKRNo193 Lbs7 ft7NoNoTrade2024-12-30NoNo2FalseFalsePro & Farm650,000$65,000$0$No650,000$--------650,000$--------No--------
Austin WatsonBlood Miners (DAL)LW/RW321992-01-13USANo238 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$110,000$0$No1,100,000$--------1,100,000$--------No--------
Blake McLaughlinBlood Miners (DAL)C/LW/RW242000-02-14USANo172 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,312,500$131,250$0$No1,312,500$--------1,312,500$--------No--------
Caden PriceBlood Miners (DAL)D192005-08-24CANYes181 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm975,000$97,500$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Caleb MacDonaldBlood Miners (DAL)D222002-11-29CANYes229 Lbs6 ft4NoNoFree AgentNoNo32025-06-11FalseFalsePro & Farm650,000$65,000$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Calle ClangBlood Miners (DAL)G222002-05-20SWENo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$125,000$0$No---------------------------
Cam DineenBlood Miners (DAL)D261998-06-19USANo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,260,000$126,000$0$No---------------------------
Charle-Edouard DAstousBlood Miners (DAL)D261998-04-21SWEYes187 Lbs6 ft2NoNoFree AgentNoNo32025-06-11FalseFalsePro & Farm650,000$65,000$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Chase PriskieBlood Miners (DAL)D281996-03-19USANo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,466,625$146,662$0$No---------------------------
Cole KoepkeBlood Miners (DAL)LW/RW261998-05-17USANo203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm682,500$68,250$0$No---------------------------
Coulson PitreBlood Miners (DAL)C/LW/RW202004-12-13CANYes172 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,250,000$125,000$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Cross HanasBlood Miners (DAL)C/LW/RW222002-01-05CANNo172 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$125,000$0$No---------------------------
Garin BjorklundBlood Miners (DAL)G222002-05-28CANNo174 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$0$No---------------------------
Henri NikkanenBlood Miners (DAL)C232001-04-28FINNo209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$97,500$0$No---------------------------
Isaac PoulterBlood Miners (DAL)G251999-01-14CANNo174 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$65,000$0$No---------------------------
Jasper WeatherbyBlood Miners (DAL)C/LW/RW261998-01-22USANo223 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm866,250$86,625$0$No---------------------------
Jeff MalottBlood Miners (DAL)LW/RW281996-08-07CANNo201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,466,625$146,662$0$No---------------------------
Jeffrey VielBlood Miners (DAL)LW/RW301994-10-20CANNo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm684,950$68,495$0$No---------------------------
Joshua LopinaBlood Miners (DAL)C232001-02-16USANo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm825,000$82,500$0$No---------------------------
Landon SimBlood Miners (DAL)C202004-07-17CANYes174 Lbs5 ft11NoNoProspectNoNo32024-08-30FalseFalsePro & Farm700,000$70,000$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Matthew MaggioBlood Miners (DAL)LW/RW222002-11-25CANNo180 Lbs6 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$0$No750,000$--------750,000$--------No--------
Nick BoninoBlood Miners (DAL)C361988-04-20USANo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$65,000$0$No---------------------------
Noah BeckBlood Miners (DAL)D232001-03-25CANYes205 Lbs6 ft3NoNoFree AgentNoNo32025-06-11FalseFalsePro & Farm650,000$65,000$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Philippe DaoustBlood Miners (DAL)C/LW/RW232001-11-05CANNo150 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$0$No---------------------------
Riley KidneyBlood Miners (DAL)C212003-03-25CANNo176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$97,500$0$No---------------------------
Ross Johnston (contrat à 1 volet)Blood Miners (DAL)LW/RW301994-02-18CANNo234 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$1,700,000$0$No---------------------------
Ryan WintertonBlood Miners (DAL)C212003-09-04CANNo175 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$97,500$0$No---------------------------
Samuel FagemoBlood Miners (DAL)LW/RW242000-03-14SWENo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,312,500$131,250$0$No---------------------------
Tobias BjornfotBlood Miners (DAL)D232001-04-06SWENo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm682,500$68,250$0$No---------------------------
William VilleneuveBlood Miners (DAL)D222002-03-20CANNo181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$97,500$0$No---------------------------
Wojciech StachowiakBlood Miners (DAL)LW/RW251999-07-03GERYes187 Lbs6 ft1NoNoFree AgentNoNo22025-06-11FalseFalsePro & Farm650,000$65,000$0$No650,000$--------650,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3524.31192 Lbs6 ft31.57937,770$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeffrey VielAustin WatsonNick Bonino28122
2Blake McLaughlinRyan WintertonJasper Weatherby28122
3Samuel FagemoCross HanasCole Koepke25122
4Samuel FagemoRyan WintertonAustin Watson19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam DineenChase Priskie28122
2Adam GinningCharle-Edouard DAstous28122
3William VilleneuveTobias Bjornfot25122
4Adam GinningChase Priskie19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeffrey VielNick BoninoSamuel Fagemo50122
2Austin WatsonRyan WintertonCole Koepke50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieAdam Ginning50122
2William VilleneuveCam Dineen50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nick BoninoAustin Watson50122
2Samuel FagemoRyan Winterton50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam DineenAdam Ginning50122
2William VilleneuveChase Priskie50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Austin Watson50122Adam GinningChase Priskie50122
2Samuel Fagemo50122William VilleneuveCam Dineen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Austin WatsonSamuel Fagemo50122
2Nick BoninoRyan Winterton50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieAdam Ginning50122
2Tobias BjornfotWilliam Villeneuve50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samuel FagemoAustin WatsonNick BoninoAdam GinningChase Priskie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Samuel FagemoAustin WatsonNick BoninoAdam GinningChase Priskie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Fagemo, Ryan Winterton, Austin WatsonSamuel Fagemo, Ryan WintertonSamuel Fagemo
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Ginning, Chase Priskie, William VilleneuveChase PriskieWilliam Villeneuve, Chase Priskie
Tirs de pénalité
Jeffrey Viel, Ryan Winterton, Samuel Fagemo, Austin Watson, Nick Bonino
Gardien
#1 : Garin Bjorklund, #2 : Calle Clang


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
1Cougars40400000514-92020000038-52020000026-400.000581300203097194232486357874900.00%19668.42%0346254.84%367448.65%224252.38%7429764610049
Total40400000514-92020000038-52020000026-400.000581300203097194232486357874900.00%19668.42%0346254.84%367448.65%224252.38%7429764610049
_Since Last GM Reset40400000514-92020000038-52020000026-400.000581300203097194232486357874900.00%19668.42%0346254.84%367448.65%224252.38%7429764610049
_Vs Conference40400000514-92020000038-52020000026-400.000581300203097194232486357874900.00%19668.42%0346254.84%367448.65%224252.38%7429764610049

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L15813978635787400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4040000514
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000038
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000026
Derniers 10 matchs
WLOTWOTL SOWSOL
030100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
900.00%19668.42%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
19423242030
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
346254.84%367448.65%224252.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
7429764610049


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
27Cougars2Blood Miners1LSommaire du match
415Cougars6Blood Miners2LSommaire du match
623Blood Miners1Cougars2LXSommaire du match
831Blood Miners1Cougars4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3415
Assistance4,82310,923
Assistance PCT96.46%99.30%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 7873 - 98.41% 196,696$393,392$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,112,196$ 3,112,196$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 34 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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