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Bloomington Bison
GP: 19 | W: 6 | L: 11 | OTL: 2 | P: 15
GF: 50 | GA: 73 | PP%: 28.57% | PK%: 68.81%
DG: Vish | Morale : 40 | Moyenne d’équipe : 68
Prochains matchs #277 vs Cleveland Monsters

Centre de jeu
Macon Whoopee
12-6-1, 32pts
4
2 Bloomington Bison
6-11-2, 15pts
Team Stats
W4SéquenceL2
8-3-1Fiche domicile3-8-0
4-3-0Fiche domicile3-3-2
7-2-1Derniers 10 matchs2-7-1
3.32Buts par match 2.63
2.74Buts contre par match 3.84
22.50%Pourcentage en avantage numérique28.57%
80.39%Pourcentage en désavantage numérique68.81%
Bloomington Bison
6-11-2, 15pts
0
1 Grand Rapids Griffins
12-5-2, 36pts
Team Stats
L2SéquenceW1
3-8-0Fiche domicile5-4-1
3-3-2Fiche domicile7-1-1
2-7-1Derniers 10 matchs7-2-1
2.63Buts par match 3.26
3.84Buts contre par match 2.42
28.57%Pourcentage en avantage numérique20.99%
68.81%Pourcentage en désavantage numérique83.33%
Bloomington Bison
6-11-2, 15pts
Jour 51
Cleveland Monsters
9-7-3, 27pts
Statistiques d’équipe
L2SéquenceW1
3-8-0Fiche domicile4-3-1
3-3-2Fiche visiteur5-4-2
2-7-110 derniers matchs4-5-1
2.63Buts par match 3.11
3.84Buts contre par match 3.11
28.57%Pourcentage en avantage numérique23.75%
68.81%Pourcentage en désavantage numérique81.67%
Bloomington Bison
6-11-2, 15pts
Jour 54
Colorado Eagles
13-5-1, 38pts
Statistiques d’équipe
L2SéquenceW5
3-8-0Fiche domicile6-3-0
3-3-2Fiche visiteur7-2-1
2-7-110 derniers matchs7-2-1
2.63Buts par match 3.47
3.84Buts contre par match 3.47
28.57%Pourcentage en avantage numérique17.95%
68.81%Pourcentage en désavantage numérique75.00%
Rockford IceHogs
10-7-2, 30pts
Jour 57
Bloomington Bison
6-11-2, 15pts
Statistiques d’équipe
W2SéquenceL2
6-2-0Fiche domicile3-8-0
4-5-2Fiche visiteur3-3-2
8-1-110 derniers matchs2-7-1
3.00Buts par match 2.63
3.11Buts contre par match 2.63
20.00%Pourcentage en avantage numérique28.57%
67.92%Pourcentage en désavantage numérique68.81%
Meneurs d'équipe
Buts
Tye Kartye
9
Passes
Trevor Lewis
19
Points
Trevor Lewis
24
Plus/Moins
Andrew MacWilliam
3
Victoires
LARS JOHANSSON
3
Pourcentage d’arrêts
Oscar Dansk
0.896

Statistiques d’équipe
Buts pour
50
2.63 GFG
Tirs pour
467
24.58 Avg
Pourcentage en avantage numérique
28.6%
16 GF
Début de zone offensive
30.3%
Buts contre
73
3.84 GAA
Tirs contre
645
33.95 Avg
Pourcentage en désavantage numérique
68.8%%
34 GA
Début de la zone défensive
45.6%
Informations de l'équipe

Directeur généralVish
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,551
Billets de saison1,200


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 250
Espoirs14


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
1Jack McBain0X98.009052757480788364756766716770735540690253500,000$
2Trevor Lewis0X95.007746716872808068797170607088835540690381500,000$
3Tye Kartye (R)0X99.0094477873807886646765657265707355406902421,000,000$
4Jacob Peterson0X99.005840838065818960696564696673735540670251800,000$
5JAN-MIKAEL JARVINEN0XX98.61523369775860607076756266688894524067N0371250,000$
6Curtis McKenzie0X100.008555556578727263576464646380685540650341501,000$
7Logan Shaw0X100.007646726478727060726461676079695540650321551,000$
8Rocco Grimaldi0X100.005840828049727162596567676879645540650321551,000$
9Joel Kellman0X100.006546796951747560756364696379635540640311551,000$
10Zack Mitchell0X100.006740767254686760696464686478645540640321501,000$
11Andrew MacWilliam0X99.008750736590777768507363726084855540720351601,000$
12Brayden Pachal0X100.009450667380738164536662716073715540710252500,000$
13Johnathan Kovacevic0X100.007554776986849064507166686276765540710271500,000$
14Kurtis MacDermid0X100.009478585799797971507365686080805540710311601,000$
15Ryan Graves0X100.007255856499737269507164736179845540710301500,000$
16Tyler Tucker0X100.007065547382727264506765746173735540690251500,000$
17Ryan Shea0X100.005742827477667459505661725877765540670281500,000$
18Michael Callahan0X100.005055767480696960505660655873735540650251551,000$
Rayé
1Akil Thomas0X100.005640748160686860666161666673735540640251700,000$
2Roman Lyubimov0X100.005922786582737262526365686468635540640331501,000$
MOYENNE D’ÉQUIPE99.43724873717573756461666469637774554067
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
1Oscar Dansk0100.00695757847270717371707159605540680311651,000$
Rayé
1LARS JOHANSSON094.00526060767680807776807888705240720371250,000$
2Edward Pasquale0100.00635757827071727267717160605540670341601,000$
3Pheonix Copley0100.00775353866967696967686858585640660331501,000$
MOYENNE D’ÉQUIPE98.5065575782727273737072726662554068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Trevor LewisBloomington Bison (VAN)C17519241421045385417399.26%1443725.732798370114690050.10%479614001.1000002112
2Tye KartyeBloomington Bison (VAN)LW15981723325253950152018.00%1335723.843475401012531133.62%11698010.9500203121
3Jack McBainBloomington Bison (VAN)C1941014-3461032534916298.16%1542122.161454360110622046.48%2561010000.6700020001
4Andrew MacWilliamBloomington Bison (VAN)D171910340203326237164.35%3943725.73112139011478000%0915000.4600013000
5JAN-MIKAEL JARVINENBloomington Bison (VAN)C/LW197310-7155333459103511.86%834518.202136342023431057.14%351411000.5800010101
6Jacob PetersonBloomington Bison (VAN)RW10459-11410121430101613.33%518718.75325726000030064.29%1474000.9600020010
7Rocco GrimaldiBloomington Bison (VAN)LW1936928020343614268.33%227114.2812329000080131.25%16123000.6600000201
8Zack MitchellBloomington Bison (VAN)RW19437-32010272331112112.90%1231916.83011237000000131.25%1653000.4400011000
9Curtis McKenzieBloomington Bison (VAN)LW193362271536181771417.65%428014.741123100000410032.00%2555000.4300210010
10Akil ThomasBloomington Bison (VAN)C11134160915101510.00%312010.9500001000080038.89%3634000.6600000000
11Johnathan KovacevicBloomington Bison (VAN)D19033-4593513247280%1329815.73011019000035000%017000.2000412000
12Logan ShawBloomington Bison (VAN)C19303-61352340154720.00%525713.5600018000061042.64%12925100.2300010000
13Roman LyubimovBloomington Bison (VAN)LW10213-4208493522.22%211211.2801103000140135.71%1412000.5300000000
14Ryan GravesBloomington Bison (VAN)D19213-124102331194910.53%2640621.39101438000167000%0511000.1500011001
15Kurtis MacDermidBloomington Bison (VAN)D19022-27135211915550%2032717.26022125000242000%1410000.1200043000
16Brayden PachalBloomington Bison (VAN)D19011-64925223212320%2334518.16000030000145000%0710000.0600023000
17Joel KellmanBloomington Bison (VAN)C12011-50051512220%21199.96000000000120052.08%4870000.1700000000
18Scott PerunovichVancouver CanucksD2101-20033106010.00%35527.511015800019000%011000.3600000000
19Tyler TuckerBloomington Bison (VAN)D190111421013185210%920911.0300000000235000%0110000.1000110000
20Michael CallahanBloomington Bison (VAN)D19000-120140200%21065.600000200001000%00200000000000
21Ryan SheaBloomington Bison (VAN)D190000001102000%51316.9300000000011000%00400000000000
Statistiques d’équipe totales ou en moyenne3414979128-3351322540549446514126010.54%225554916.2716274349412336216375445.91%1185109139110.460091818557
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
1LARS JOHANSSONBloomington Bison (VAN)133720.8824.1472500504231812000135010
2Oscar DanskBloomington Bison (VAN)83400.8963.214112022211980000613101
3Pheonix CopleyBloomington Bison (VAN)10000.9093.5317001115000001000
Statistiques d’équipe totales ou en moyenne2261120.8873.80115420736452842001919111


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Akil ThomasBloomington Bison (VAN)C252000-01-02CANNo171 Lbs6 ft0NoNoFree AgentNoNo12025-10-29FalseFalsePro & Farm700,000$521,277$0$0$No---------------------------Lien
Andrew MacWilliam (contrat à 1 volet)Bloomington Bison (VAN)D351990-03-25CANNo214 Lbs6 ft2NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm601,000$447,553$0$0$No---------------------------
Brayden PachalBloomington Bison (VAN)D251999-08-23CANNo203 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$372,340$0$0$No500,000$--------500,000$--------No--------Lien
Curtis McKenzieBloomington Bison (VAN)LW341991-02-22CANNo205 Lbs6 ft2NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm501,000$373,085$0$0$No---------------------------Lien
Edward PasqualeBloomington Bison (VAN)G341990-11-20CANNo215 Lbs6 ft2NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm601,000$447,553$0$0$No---------------------------
JAN-MIKAEL JARVINEN (contrat à 1 volet)Bloomington Bison (VAN)C/LW371988-02-26FINNo176 Lbs5 ft9YesNoFree AgentNoNo12025-10-17FalseFalseFarm Only250,000$186,170$0$0$No---------------------------Lien
Jack McBainBloomington Bison (VAN)C252000-01-06CANNo212 Lbs6 ft4NoNoFree AgentNoNo32025-10-24FalseFalsePro & Farm500,000$372,340$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Jacob PetersonBloomington Bison (VAN)RW251999-07-19SWENo180 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm800,000$595,745$0$0$No---------------------------Lien
Joel KellmanBloomington Bison (VAN)C311994-05-25SWENo192 Lbs5 ft11NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm551,000$410,319$0$0$No---------------------------Lien
Johnathan KovacevicBloomington Bison (VAN)D271997-07-12CANNo218 Lbs6 ft5NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm500,000$372,340$0$0$No---------------------------Lien
Kurtis MacDermidBloomington Bison (VAN)D311994-03-25CANNo234 Lbs6 ft5NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm601,000$447,553$0$0$No---------------------------Lien
LARS JOHANSSON (contrat à 1 volet)Bloomington Bison (VAN)G371987-07-11SWENo198 Lbs6 ft1NoNoTrade2025-10-20NoNo12025-10-20FalseFalseFarm Only250,000$186,170$0$0$No---------------------------Lien
Logan ShawBloomington Bison (VAN)C321992-10-05CANNo208 Lbs6 ft3NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm551,000$410,319$0$0$No---------------------------Lien
Michael CallahanBloomington Bison (VAN)D251999-09-23USANo200 Lbs6 ft2NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm551,000$410,319$0$0$No---------------------------Lien
Oscar DanskBloomington Bison (VAN)G311994-02-28SWENo195 Lbs6 ft3NoNoFree AgentNoNo12025-11-02FalseFalsePro & Farm651,000$484,787$0$0$No---------------------------Lien
Pheonix CopleyBloomington Bison (VAN)G331992-01-18USANo201 Lbs6 ft4NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm501,000$373,085$0$0$No---------------------------Lien
Rocco GrimaldiBloomington Bison (VAN)LW321993-02-08USANo180 Lbs5 ft6NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm551,000$410,319$0$0$No---------------------------Lien
Roman LyubimovBloomington Bison (VAN)LW331992-01-06RUSNo218 Lbs6 ft2NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm501,000$373,085$0$0$No---------------------------
Ryan GravesBloomington Bison (VAN)D301995-05-21CANNo220 Lbs6 ft5NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$372,340$0$0$No---------------------------Lien
Ryan SheaBloomington Bison (VAN)D281997-02-11USANo190 Lbs6 ft2NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm500,000$372,340$0$0$No---------------------------Lien
Trevor Lewis (contrat à 1 volet)Bloomington Bison (VAN)C381987-01-08USANo203 Lbs6 ft1NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm500,000$372,340$0$0$No---------------------------Lien
Tye KartyeBloomington Bison (VAN)LW242001-04-30CANYes198 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,000,000$744,681$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Tyler TuckerBloomington Bison (VAN)D252000-03-01CANNo204 Lbs6 ft1NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm500,000$372,340$0$0$No---------------------------Lien
Zack MitchellBloomington Bison (VAN)RW321993-01-07CANNo185 Lbs6 ft1NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm501,000$373,085$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2430.38201 Lbs6 ft21.17548,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tye KartyeTrevor LewisJacob Peterson40122
2JAN-MIKAEL JARVINENJack McBainZack Mitchell30122
3Rocco GrimaldiLogan ShawTrevor Lewis20122
4Curtis McKenzieJoel KellmanJack McBain10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew MacWilliamRyan Graves40122
2Brayden PachalJohnathan Kovacevic30122
3Kurtis MacDermidTyler Tucker20122
4Ryan SheaMichael Callahan10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tye KartyeTrevor LewisJacob Peterson60122
2JAN-MIKAEL JARVINENJack McBainZack Mitchell40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew MacWilliamRyan Graves60122
2Brayden PachalJohnathan Kovacevic40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trevor LewisJack McBain60122
2Tye KartyeJAN-MIKAEL JARVINEN40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew MacWilliamRyan Graves60122
2Brayden PachalJohnathan Kovacevic40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Trevor Lewis60122Andrew MacWilliamRyan Graves60122
2Jack McBain40122Brayden PachalJohnathan Kovacevic40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Trevor LewisJack McBain60122
2Tye KartyeJAN-MIKAEL JARVINEN40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrew MacWilliamRyan Graves60122
2Brayden PachalJohnathan Kovacevic40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tye KartyeTrevor LewisJacob PetersonAndrew MacWilliamRyan Graves
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tye KartyeTrevor LewisJacob PetersonAndrew MacWilliamRyan Graves
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rocco Grimaldi, Logan Shaw, Curtis McKenzieRocco Grimaldi, Logan ShawCurtis McKenzie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kurtis MacDermid, Tyler Tucker, Ryan SheaKurtis MacDermidTyler Tucker, Ryan Shea
Tirs de pénalité
Trevor Lewis, Jack McBain, Tye Kartye, JAN-MIKAEL JARVINEN, Jacob Peterson
Gardien
#1 : , #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
Trevor Lewis, Jack McBain, Tye Kartye, JAN-MIKAEL JARVINEN, Jacob Peterson, Rocco Grimaldi, Logan Shaw, Curtis McKenzie, Joel Kellman, Zack Mitchell
Lignes de défense personnalisées en prolongation
Andrew MacWilliam, Ryan Graves, Brayden Pachal, Johnathan Kovacevic, Kurtis MacDermid


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
1Abbotsford Canucks1000010034-1000000000001000010034-110.33335800818195251201431901434921254125.00%3166.67%017535848.88%24953946.20%12928645.10%344160440192371181
2Bakersfield Condors1010000025-31010000025-30000000000000.00022400818195251201431901416735196233.33%5340.00%017535848.88%24953946.20%12928645.10%344160440192371181
3Bridgeport Islanders1010000036-31010000036-30000000000000.00035800818195231201431901433182224100.00%6350.00%017535848.88%24953946.20%12928645.10%344160440192371181
4Cleveland Monsters1010000014-31010000014-30000000000000.0001230081819510120143190143111131911100.00%4175.00%017535848.88%24953946.20%12928645.10%344160440192371181
5Coachella Valley Firebirds1010000015-41010000015-40000000000000.00012300818195171201431901435132117300.00%8275.00%017535848.88%24953946.20%12928645.10%344160440192371181
6Colorado Eagles1010000015-41010000015-40000000000000.00012300818195231201431901435144923000%7271.43%017535848.88%24953946.20%12928645.10%344160440192371181
7Grand Rapids Griffins21100000321110000003121010000001-130.500369008181954912014319014632763554125.00%9188.89%017535848.88%24953946.20%12928645.10%344160440192371181
8Henderson Silver Knights10001000431100010004310000000000020.667481200818195291201431901446107245240.00%110.00%017535848.88%24953946.20%12928645.10%344160440192371181
9Iowa Heartlanders10001000541000000000001000100054120.6675712008181953112014319014391241194125.00%7271.43%017535848.88%24953946.20%12928645.10%344160440192371181
10Macon Whoopee2010100078-11010000024-21000100054120.3337132000818195511201431901474215035400.00%10370.00%017535848.88%24953946.20%12928645.10%344160440192371181
11Milwaukee Admirals1010000013-2000000000001010000013-200.00011200818195191201431901426112128300.00%8362.50%017535848.88%24953946.20%12928645.10%344160440192371181
12Pee Dee Pride2010010047-31010000013-21000010034-110.16747110081819553120143190147126523911327.27%11372.73%017535848.88%24953946.20%12928645.10%344160440192371181
13Providence Bruins10001000321100010003210000000000020.66734700818195261201431901430141718200.00%60100.00%117535848.88%24953946.20%12928645.10%344160440192371181
14Reading Royals1010000025-31010000025-30000000000000.000224008181952712014319014351231202150.00%8362.50%017535848.88%24953946.20%12928645.10%344160440192371181
15Rockford IceHogs1010000045-1000000000001010000045-100.000459008181952912014319014341048242150.00%9277.78%117535848.88%24953946.20%12928645.10%344160440192371181
16San Diego Gulls10001000651000000000001000100065120.6676915008181953012014319014431024194375.00%7442.86%117535848.88%24953946.20%12928645.10%344160440192371181
Total19111052005073-231118020002343-20803032002730-3150.26350801300081819546712014319014645225515408561628.57%1093468.81%317535848.88%24953946.20%12928645.10%344160440192371181
_Since Last GM Reset19111052005073-231118020002343-20803032002730-3150.26350801300081819546712014319014645225515408561628.57%1093468.81%317535848.88%24953946.20%12928645.10%344160440192371181
_Vs Conference16110032003961-22917010001735-18703022002226-4110.22939641030081819538712014319014543181435347491530.61%902967.78%217535848.88%24953946.20%12928645.10%344160440192371181
_Vs Division603021001725-830201000713-6301011001012-250.27817274400818195147120143190142196512513321733.33%351460.00%117535848.88%24953946.20%12928645.10%344160440192371181

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1915L2508013046764522551540800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1911152005073
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
111820002343
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
80332002730
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
561628.57%1093468.81%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
12014319014818195
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
17535848.88%24953946.20%12928645.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
344160440192371181


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
214Bakersfield Condors5Bloomington Bison2LSommaire du match
427Reading Royals5Bloomington Bison2LSommaire du match
637Bloomington Bison6San Diego Gulls5WXSommaire du match
854Henderson Silver Knights3Bloomington Bison4WXSommaire du match
1067Bloomington Bison3Abbotsford Canucks4LXSommaire du match
1281Coachella Valley Firebirds5Bloomington Bison1LSommaire du match
1497Bloomington Bison1Milwaukee Admirals3LSommaire du match
15106Providence Bruins2Bloomington Bison3WXSommaire du match
17115Bloomington Bison5Iowa Heartlanders4WXSommaire du match
20134Bridgeport Islanders6Bloomington Bison3LSommaire du match
24153Bloomington Bison4Rockford IceHogs5LSommaire du match
27165Colorado Eagles5Bloomington Bison1LSommaire du match
30182Cleveland Monsters4Bloomington Bison1LSommaire du match
32191Grand Rapids Griffins1Bloomington Bison3WSommaire du match
35207Bloomington Bison5Macon Whoopee4WXSommaire du match
39223Pee Dee Pride3Bloomington Bison1LSommaire du match
42237Bloomington Bison3Pee Dee Pride4LXSommaire du match
45252Macon Whoopee4Bloomington Bison2LSommaire du match
48262Bloomington Bison0Grand Rapids Griffins1LSommaire du match
51277Bloomington Bison-Cleveland Monsters-
54289Bloomington Bison-Colorado Eagles-
57308Rockford IceHogs-Bloomington Bison-
59312Greenville Swamp Rabbits-Bloomington Bison-
62333Wheeling Nailers-Bloomington Bison-
64346Bloomington Bison-Greensboro Gargoyles-
66360Bloomington Bison-Trois Rivieres Lions-
68370Bloomington Bison-Coachella Valley Firebirds-
70384Abbotsford Canucks-Bloomington Bison-
72401Henderson Silver Knights-Bloomington Bison-
74414San Diego Gulls-Bloomington Bison-
76427Bloomington Bison-Orlando Solar Bears-
78438Bloomington Bison-Athens Rock Lobsters-
80451Utica Devils-Bloomington Bison-
84470Grand Rapids Griffins-Bloomington Bison-
87490Bloomington Bison-Macon Whoopee-
89501Pee Dee Pride-Bloomington Bison-
92512Savannah Ghost Pirates-Bloomington Bison-
93519Bloomington Bison-Savannah Ghost Pirates-
95534Bloomington Bison-Lehigh Valley Phantoms-
98555Lehigh Valley Phantoms-Bloomington Bison-
100571Laval Rocket-Bloomington Bison-
102587Bloomington Bison-Rochester Americans-
104597Bloomington Bison-Reading Royals-
106609Bloomington Bison-Bakersfield Condors-
110625Milwaukee Admirals-Bloomington Bison-
113642Rockford IceHogs-Bloomington Bison-
115646Colorado Eagles-Bloomington Bison-
119665Bloomington Bison-Cleveland Monsters-
122682Greensboro Gargoyles-Bloomington Bison-
123693Bloomington Bison-Wheeling Nailers-
125702Bloomington Bison-Greenville Swamp Rabbits-
127716Bloomington Bison-Bridgeport Islanders-
129736Iowa Heartlanders-Bloomington Bison-
131749Bloomington Bison-Providence Bruins-
135767Coachella Valley Firebirds-Bloomington Bison-
137781Bloomington Bison-Abbotsford Canucks-
139796Bloomington Bison-Henderson Silver Knights-
141807Bloomington Bison-San Diego Gulls-
143815Trois Rivieres Lions-Bloomington Bison-
146834Orlando Solar Bears-Bloomington Bison-
148843Athens Rock Lobsters-Bloomington Bison-
151860Bloomington Bison-Utica Devils-
153874Bloomington Bison-Laval Rocket-
156895Rochester Americans-Bloomington Bison-
158897Bloomington Bison-Grand Rapids Griffins-
160917Macon Whoopee-Bloomington Bison-
162928Bloomington Bison-Pee Dee Pride-
164941Cleveland Monsters-Bloomington Bison-
166954Bloomington Bison-Colorado Eagles-
168973Bloomington Bison-Rockford IceHogs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171982Bloomington Bison-Coachella Valley Firebirds-
173996Abbotsford Canucks-Bloomington Bison-
1751012Bloomington Bison-Henderson Silver Knights-
1771024San Diego Gulls-Bloomington Bison-
1801049Bloomington Bison-Reading Royals-
1811063Reading Royals-Bloomington Bison-
1831078Bloomington Bison-Bakersfield Condors-
1841092Bakersfield Condors-Bloomington Bison-
1861105Bloomington Bison-Milwaukee Admirals-
1871119Milwaukee Admirals-Bloomington Bison-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3111
Assistance17,81710,242
Assistance PCT80.99%93.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 2551 - 85.03% 60,454$664,989$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
292,607$ 1,156,100$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 292,607$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,753,153$ 140 6,149$ 860,860$




Bloomington Bison 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

Bloomington Bison 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

Bloomington Bison 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

Bloomington Bison 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

Bloomington Bison 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