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Bloomington Bison
GP: 34 | W: 13 | L: 17 | OTL: 4 | P: 36
GF: 92 | GA: 122 | PP%: 26.88% | PK%: 73.26%
DG: Vish | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #490 vs Macon Whoopee

Centre de jeu
Utica Devils
23-10-2, 66pts
4
1 Bloomington Bison
13-17-4, 36pts
Team Stats
W3SéquenceOTL1
12-6-2Fiche domicile7-11-1
11-4-0Fiche domicile6-6-3
8-2-0Derniers 10 matchs3-5-2
3.83Buts par match 2.71
2.97Buts contre par match 3.59
26.67%Pourcentage en avantage numérique26.88%
81.44%Pourcentage en désavantage numérique73.26%
Grand Rapids Griffins
22-8-4, 63pts
3
2 Bloomington Bison
13-17-4, 36pts
Team Stats
W1SéquenceOTL1
7-7-2Fiche domicile7-11-1
15-1-2Fiche domicile6-6-3
8-2-0Derniers 10 matchs3-5-2
3.29Buts par match 2.71
2.56Buts contre par match 3.59
19.40%Pourcentage en avantage numérique26.88%
73.97%Pourcentage en désavantage numérique73.26%
Bloomington Bison
13-17-4, 36pts
Jour 87
Macon Whoopee
20-12-2, 54pts
Statistiques d’équipe
OTL1SéquenceL2
7-11-1Fiche domicile12-5-1
6-6-3Fiche visiteur8-7-1
3-5-210 derniers matchs5-4-1
2.71Buts par match 3.41
3.59Buts contre par match 3.41
26.88%Pourcentage en avantage numérique22.79%
73.26%Pourcentage en désavantage numérique77.50%
Pee Dee Pride
18-9-7, 56pts
Jour 89
Bloomington Bison
13-17-4, 36pts
Statistiques d’équipe
W3SéquenceOTL1
6-6-5Fiche domicile7-11-1
12-3-2Fiche visiteur6-6-3
5-3-210 derniers matchs3-5-2
3.26Buts par match 2.71
3.18Buts contre par match 2.71
21.05%Pourcentage en avantage numérique26.88%
79.34%Pourcentage en désavantage numérique73.26%
Savannah Ghost Pirates
16-15-3, 47pts
Jour 92
Bloomington Bison
13-17-4, 36pts
Statistiques d’équipe
W2SéquenceOTL1
8-7-1Fiche domicile7-11-1
8-8-2Fiche visiteur6-6-3
7-3-010 derniers matchs3-5-2
3.29Buts par match 2.71
3.38Buts contre par match 2.71
19.29%Pourcentage en avantage numérique26.88%
77.46%Pourcentage en désavantage numérique73.26%
Meneurs d'équipe
Buts
Tye Kartye
16
Passes
Trevor Lewis
24
Points
Trevor Lewis
33
Plus/Moins
Tye Kartye
4
Victoires
LARS JOHANSSON
7
Pourcentage d’arrêts
Edward Pasquale
0.969

Statistiques d’équipe
Buts pour
92
2.71 GFG
Tirs pour
869
25.56 Avg
Pourcentage en avantage numérique
26.9%
25 GF
Début de zone offensive
31.3%
Buts contre
122
3.59 GAA
Tirs contre
1166
34.29 Avg
Pourcentage en désavantage numérique
73.3%%
50 GA
Début de la zone défensive
44.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,518
Billets de saison1,200


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 250
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
1Jacob Peterson0X100.005840838065818960696564696673735540670251800,000$
2Curtis McKenzie0X97.498555556578727263576464646380685540650341501,000$
3Logan Shaw0X100.007646726478727060726461676079695540650321551,000$
4Rocco Grimaldi0X100.005840828049727162596567676879645540650321551,000$
5Akil Thomas0X100.005640748160686860666161666673735540640251700,000$
6Joel Kellman0X100.006546796951747560756364696379635540640311551,000$
7Roman Lyubimov0X100.005922786582737262526365686468635540640331501,000$
8Zack Mitchell0X100.006740767254686760696464686478645540640321501,000$
9Brayden Pachal0X100.009450667380738164536662716073715540710252500,000$
10Johnathan Kovacevic0X100.007554776986849064507166686276765540710271500,000$
11Kurtis MacDermid0X100.009478585799797971507365686080805540710311601,000$
12Tyler Tucker0X100.007065547382727264506765746173735540690251500,000$
13Ryan Shea0X100.005742827477667459505661725877765540670281500,000$
14Michael Callahan0X100.005055767480696960505660655873735540650251551,000$
Rayé
1Jack McBain0X95.009052757480788364756766716770735540690253500,000$
2Trevor Lewis0X95.607746716872808068797170607088835540690381500,000$
3Tye Kartye (R)0X95.0094477873807886646765657265707355406902421,000,000$
4JAN-MIKAEL JARVINEN0X57.03523369775860607076756266688894524067N0371250,000$
5EEMELI SUOMI0XX100.00604364786060606975716867717474524066N0291250,000$
6ROBIN KOVACS0XX100.00564357777160606969717063717373524066N0281250,000$
7SEBASTIAN REPO0X100.00564969638660606869687167677474524066N0291250,000$
8Ryan Graves0X72.427255856499737269507164736179845540710301500,000$
9PER SVENSSON0X100.00544084698360606448696176598694524068N0361250,000$
MOYENNE D’ÉQUIPE96.20684772717471736462666568647774544067
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 JOHANSSON095.26526060767680807776807888705240720371250,000$
2Edward Pasquale0100.00635757827071727267717160605540670341601,000$
3Pheonix Copley0100.00775353866967696967686858585640660331501,000$
MOYENNE D’ÉQUIPE98.8165575782727273737072726662554068
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)C2792433-25315685886236410.47%1865024.09481213550115951150.00%676820001.0100003142
2Tye KartyeBloomington Bison (VAN)LW3016153145945636487304118.39%2570023.35471111702023992335.21%1422416010.8900306322
3Rocco GrimaldiBloomington Bison (VAN)LW3481321-310042608126559.88%651715.232354281011150243.75%32246000.8100000213
4Jack McBainBloomington Bison (VAN)C3471320-8953578908531558.24%2578623.1425776302201202045.25%5901911000.5100241101
5Jacob PetersonBloomington Bison (VAN)RW2511920-24620253077174614.29%1542817.1345914550001101059.46%371612200.9311040021
6JAN-MIKAEL JARVINENBloomington Bison (VAN)C349817-1119551679421519.57%1456316.583147402023762053.85%1042516000.6000010111
7Zack MitchellBloomington Bison (VAN)RW348513-92610524462183512.90%1856416.61112761000002137.04%271010000.4600011001
8Andrew MacWilliamVancouver CanucksD2311112-2482049453115233.23%5660726.401232490225109000%01021000.4000013000
9Curtis McKenzieBloomington Bison (VAN)LW34741134115583435122220.00%545313.341123111012641037.84%3766000.4900210210
10Logan ShawBloomington Bison (VAN)C344610-1175376326121415.38%1344213.02000290110241041.98%21269100.4500010011
11Roman LyubimovBloomington Bison (VAN)LW24268460131620101210.00%325110.4802203000150127.27%2243000.6400000000
12Brayden PachalBloomington Bison (VAN)D340771703052603112110%5069320.39011660000194000%01417000.2000033000
13Kurtis MacDermidBloomington Bison (VAN)D34257-4179955045361195.56%4264519.00134452000385000%11223000.2200388000
14Joel KellmanBloomington Bison (VAN)C27156100173123254.35%82388.85000040110140051.43%10592000.5000000000
15Johnathan KovacevicBloomington Bison (VAN)D34156-1077453260138177.69%3362918.51022042000192010%0825000.1900414000
16Akil ThomasBloomington Bison (VAN)C22134160172125284.00%52169.86000260000290042.86%11988000.3700000000
17Ryan GravesBloomington Bison (VAN)D23213-529152335214149.52%3747020.46101441000176000%0514000.1300012001
18Tyler TuckerBloomington Bison (VAN)D3403326915413815760%2543912.94000113000251000%0619000.1400111000
19Ryan SheaBloomington Bison (VAN)D34112475132542125.00%2034110.0500003000036000%0213000.1200010000
20Michael CallahanBloomington Bison (VAN)D340112752145210%82457.2200003000017000%007000.0800100000
Statistiques d’équipe totales ou en moyenne60990145235-3586438078390085726549010.50%426988816.2424416587676671329112112946.15%2104216258310.4811162832101213
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)217940.8963.63118900726943302000218110
2Oscar DanskBloomington Bison (VAN)155800.8883.62795204842920000001222101
3Edward PasqualeBloomington Bison (VAN)11000.9691.00600013219000013100
4Pheonix CopleyBloomington Bison (VAN)10000.9093.5317001115000001000
Statistiques d’équipe totales ou en moyenne38131740.8953.5520622012211665542003434311


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$383,511$0$0$No---------------------------Lien
Brayden PachalBloomington Bison (VAN)D251999-08-23CANNo203 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm500,000$273,936$0$0$No500,000$--------500,000$--------No--------Lien
Curtis McKenzieBloomington Bison (VAN)LW341991-02-22CANNo205 Lbs6 ft2NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm501,000$274,484$0$0$No---------------------------Lien
EEMELI SUOMI (contrat à 1 volet)Bloomington Bison (VAN)C/LW291995-12-04FINNo183 Lbs5 ft10YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$136,968$0$0$No---------------------------Lien
Edward PasqualeBloomington Bison (VAN)G341990-11-20CANNo215 Lbs6 ft2NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm601,000$329,271$0$0$No---------------------------
JAN-MIKAEL JARVINEN (sur la masse salariale)Bloomington Bison (VAN)C371988-02-26FINNo176 Lbs5 ft9YesNoFree AgentNoNo12025-10-17FalseFalseFarm Only250,000$136,968$0$0$No---------------------------Lien
Jack McBainBloomington Bison (VAN)C252000-01-06CANNo212 Lbs6 ft4NoNoFree AgentNoNo32025-10-24FalseFalsePro & Farm500,000$273,936$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$438,298$0$0$No---------------------------Lien
Joel KellmanBloomington Bison (VAN)C311994-05-25SWENo192 Lbs5 ft11NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm551,000$301,878$0$0$No---------------------------Lien
Johnathan KovacevicBloomington Bison (VAN)D271997-07-12CANNo218 Lbs6 ft5NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm500,000$273,936$0$0$No---------------------------Lien
Kurtis MacDermidBloomington Bison (VAN)D311994-03-25CANNo234 Lbs6 ft5NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm601,000$329,271$0$0$No---------------------------Lien
LARS JOHANSSON (contrat à 1 volet)Bloomington Bison (VAN)G371987-07-11SWENo198 Lbs6 ft1NoNoTrade2025-10-20NoNo12025-10-20FalseFalseFarm Only250,000$136,968$0$0$No---------------------------Lien
Logan ShawBloomington Bison (VAN)C321992-10-05CANNo208 Lbs6 ft3NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm551,000$301,878$0$0$No---------------------------Lien
Michael CallahanBloomington Bison (VAN)D251999-09-23USANo200 Lbs6 ft2NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm551,000$301,878$0$0$No---------------------------Lien
Oscar DanskBloomington Bison (VAN)G311994-02-28SWENo195 Lbs6 ft3NoNoFree AgentNoNo12025-11-02FalseFalsePro & Farm651,000$356,665$0$0$No---------------------------Lien
PER SVENSSON (contrat à 1 volet)Bloomington Bison (VAN)D361988-10-10SWENo194 Lbs6 ft4YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$136,968$0$0$No---------------------------Lien
Pheonix CopleyBloomington Bison (VAN)G331992-01-18USANo201 Lbs6 ft4NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm501,000$274,484$0$0$No---------------------------Lien
ROBIN KOVACS (contrat à 1 volet)Bloomington Bison (VAN)LW/RW281996-11-16SWENo185 Lbs6 ft0YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$136,968$0$0$No---------------------------Lien
Rocco GrimaldiBloomington Bison (VAN)LW321993-02-08USANo180 Lbs5 ft6NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm551,000$301,878$0$0$No---------------------------Lien
Roman LyubimovBloomington Bison (VAN)LW331992-01-06RUSNo218 Lbs6 ft2NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm501,000$274,484$0$0$No---------------------------
Ryan Graves (sur la masse salariale)Bloomington Bison (VAN)D301995-05-21CANNo220 Lbs6 ft5NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$273,936$0$0$No---------------------------Lien
Ryan SheaBloomington Bison (VAN)D281997-02-11USANo190 Lbs6 ft2NoNoFree AgentNoNo12025-10-24FalseFalsePro & Farm500,000$273,936$0$0$No---------------------------Lien
SEBASTIAN REPO (contrat à 1 volet)Bloomington Bison (VAN)RW291996-06-23FINNo212 Lbs6 ft3YesNoFree AgentNoNo12026-04-20FalseFalseFarm Only250,000$136,968$0$0$No---------------------------Lien
Trevor Lewis (contrat à 1 volet)Bloomington Bison (VAN)C381987-01-08USANo203 Lbs6 ft1NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm500,000$273,936$0$0$No---------------------------Lien
Tye KartyeBloomington Bison (VAN)LW242001-04-30CANYes198 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,000,000$547,872$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Tyler TuckerBloomington Bison (VAN)D252000-03-01CANNo204 Lbs6 ft1NoNoFree AgentNoNo12025-10-20FalseFalsePro & Farm500,000$273,936$0$0$No---------------------------Lien
Zack MitchellBloomington Bison (VAN)RW321993-01-07CANNo185 Lbs6 ft1NoNoFree AgentNoNo12025-11-03FalseFalsePro & Farm501,000$274,484$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2730.22199 Lbs6 ft21.15502,259$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob Peterson40122
2Rocco GrimaldiZack Mitchell30122
3Curtis McKenzieLogan Shaw20122
4Roman LyubimovJoel Kellman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermid40122
2Brayden PachalJohnathan Kovacevic30122
3Tyler TuckerRyan Shea20122
4Michael CallahanKurtis MacDermid10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob Peterson60122
2Rocco GrimaldiZack Mitchell40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermid60122
2Brayden PachalJohnathan Kovacevic40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Jacob Peterson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermid60122
2Brayden PachalJohnathan Kovacevic40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Kurtis MacDermid60122
240122Brayden PachalJohnathan Kovacevic40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Jacob Peterson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermid60122
2Brayden PachalJohnathan Kovacevic40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob PetersonKurtis MacDermid
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob PetersonKurtis MacDermid
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Akil Thomas, Logan Shaw, Curtis McKenzieAkil Thomas, Logan ShawCurtis McKenzie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Tucker, Ryan Shea, Michael CallahanTyler TuckerRyan Shea, Michael Callahan
Tirs de pénalité
, , , Jacob Peterson, Rocco Grimaldi
Gardien
#1 : , #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
, , , Jacob Peterson, Rocco Grimaldi, Logan Shaw, Curtis McKenzie, Zack Mitchell, Joel Kellman, Roman Lyubimov
Lignes de défense personnalisées en prolongation
Kurtis MacDermid, , Brayden Pachal, Johnathan Kovacevic, Tyler Tucker


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 Canucks21000100761110000004221000010034-140.667710170017333574723628932420601127547114.29%6266.67%131365647.71%43392546.81%23451245.70%617291790343655317
2Athens Rock Lobsters1010000016-5000000000001010000016-500.000112001733357272362893242037223028300.00%5340.00%031365647.71%43392546.81%23451245.70%617291790343655317
3Bakersfield Condors1010000025-31010000025-30000000000000.000224001733357252362893242016735196233.33%5340.00%031365647.71%43392546.81%23451245.70%617291790343655317
4Bridgeport Islanders1010000036-31010000036-30000000000000.000358001733357232362893242033182224100.00%6350.00%031365647.71%43392546.81%23451245.70%617291790343655317
5Cleveland Monsters2110000056-11010000014-31100000042230.50059140017333573523628932420672517425360.00%6183.33%031365647.71%43392546.81%23451245.70%617291790343655317
6Coachella Valley Firebirds20200000210-81010000015-41010000015-400.0002460017333574223628932420682255357114.29%15566.67%031365647.71%43392546.81%23451245.70%617291790343655317
7Colorado Eagles2010100058-31010000015-41000100043120.333591400173335755236289324208027944911100.00%17382.35%031365647.71%43392546.81%23451245.70%617291790343655317
8Grand Rapids Griffins31100100550210001005411010000001-140.444510150017333576623628932420974885855120.00%15286.67%031365647.71%43392546.81%23451245.70%617291790343655317
9Greensboro Gargoyles1010000025-3000000000001010000025-300.000235001733357162362893242040122520200.00%10370.00%131365647.71%43392546.81%23451245.70%617291790343655317
10Greenville Swamp Rabbits11000000422110000004220000000000031.00047110017333573423628932420311113262150.00%40100.00%031365647.71%43392546.81%23451245.70%617291790343655317
11Henderson Silver Knights2010100067-12010100067-10000000000020.333610160017333575323628932420742146566233.33%3166.67%031365647.71%43392546.81%23451245.70%617291790343655317
12Iowa Heartlanders10001000541000000000001000100054120.66757120017333573123628932420391241194125.00%7271.43%031365647.71%43392546.81%23451245.70%617291790343655317
13Macon Whoopee2010100078-11010000024-21000100054120.33371320001733357512362893242074215035400.00%10370.00%031365647.71%43392546.81%23451245.70%617291790343655317
14Milwaukee Admirals1010000013-2000000000001010000013-200.000112001733357192362893242026112128300.00%8362.50%031365647.71%43392546.81%23451245.70%617291790343655317
15Orlando Solar Bears11000000514000000000001100000051431.00059140017333572723628932420341834235240.00%20100.00%031365647.71%43392546.81%23451245.70%617291790343655317
16Pee Dee Pride2010010047-31010000013-21000010034-110.167471100173335753236289324207126523911327.27%11372.73%031365647.71%43392546.81%23451245.70%617291790343655317
17Providence Bruins10001000321100010003210000000000020.667347001733357262362893242030141718200.00%60100.00%131365647.71%43392546.81%23451245.70%617291790343655317
18Reading Royals1010000025-31010000025-30000000000000.0002240017333572723628932420351231202150.00%8362.50%031365647.71%43392546.81%23451245.70%617291790343655317
19Rockford IceHogs20101000880100010004311010000045-120.333811190017333575223628932420622772513133.33%16381.25%231365647.71%43392546.81%23451245.70%617291790343655317
20San Diego Gulls21001000963110000003121000100065150.833914230017333576123628932420752363476350.00%14564.29%131365647.71%43392546.81%23451245.70%617291790343655317
21Trois Rivieres Lions1000010034-1000000000001000010034-110.333336001733357322362893242036118254125.00%40100.00%031365647.71%43392546.81%23451245.70%617291790343655317
22Utica Devils1010000014-31010000014-30000000000000.000123001733357372362893242041172220000%6266.67%031365647.71%43392546.81%23451245.70%617291790343655317
23Wheeling Nailers1010000024-21010000024-20000000000000.000235001733357302362893242040136264125.00%30100.00%031365647.71%43392546.81%23451245.70%617291790343655317
Total346170740092122-3019411031004566-211526043004756-9360.35392146238001733357869236289324201166429866789932526.88%1875073.26%631365647.71%43392546.81%23451245.70%617291790343655317
_Since Last GM Reset346170740092122-3019411031004566-211526043004756-9360.35392146238001733357869236289324201166429866789932526.88%1875073.26%631365647.71%43392546.81%23451245.70%617291790343655317
_Vs Conference24412053006384-211438021003248-161014032003136-5250.3476310216500173335758623628932420805281648560661928.79%1343772.39%431365647.71%43392546.81%23451245.70%617291790343655317
_Vs Division1025021002737-10623010001620-4402011001117-6110.3672741680017333572492362893242033810024324031825.81%541964.81%231365647.71%43392546.81%23451245.70%617291790343655317

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3436OTL192146238869116642986678900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
34617740092122
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1941131004566
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
152643004756
Derniers 10 matchs
WLOTWOTL SOWSOL
350200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
932526.88%1875073.26%6
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
236289324201733357
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
31365647.71%43392546.81%23451245.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
617291790343655317


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 Bison4Cleveland Monsters2WSommaire du match
54289Bloomington Bison4Colorado Eagles3WXSommaire du match
57308Rockford IceHogs3Bloomington Bison4WXSommaire du match
59312Greenville Swamp Rabbits2Bloomington Bison4WSommaire du match
62333Wheeling Nailers4Bloomington Bison2LSommaire du match
64346Bloomington Bison2Greensboro Gargoyles5LSommaire du match
66360Bloomington Bison3Trois Rivieres Lions4LXSommaire du match
68370Bloomington Bison1Coachella Valley Firebirds5LSommaire du match
70384Abbotsford Canucks2Bloomington Bison4WSommaire du match
72401Henderson Silver Knights4Bloomington Bison2LSommaire du match
74414San Diego Gulls1Bloomington Bison3WSommaire du match
76427Bloomington Bison5Orlando Solar Bears1WSommaire du match
78438Bloomington Bison1Athens Rock Lobsters6LSommaire du match
80451Utica Devils4Bloomington Bison1LSommaire du match
84470Grand Rapids Griffins3Bloomington Bison2LXSommaire du match
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
Assistance29,96817,870
Assistance PCT78.86%94.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 2518 - 83.93% 59,241$1,125,578$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
515,880$ 1,106,100$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 515,880$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,244,060$ 103 5,884$ 606,052$




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