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Bears
GP: 64 | W: 30 | L: 28 | OTL: 6 | P: 66
GF: 206 | GA: 207 | PP%: 29.18% | PK%: 71.06%
DG: Guenter | Morale : 92 | Moyenne d’équipe : N/A
Prochains matchs #970 vs Admirals

Centre de jeu
Phantoms
26-28-7, 59pts
4
FINAL
5 Bears
30-28-6, 66pts
Team Stats
L8SéquenceL1
10-16-4Fiche domicile13-13-4
16-12-3Fiche domicile17-15-2
1-9-0Derniers 10 matchs5-5-0
3.28Buts par match 3.22
3.72Buts contre par match 3.23
23.10%Pourcentage en avantage numérique29.18%
71.85%Pourcentage en désavantage numérique71.06%
Whalers
23-31-5, 51pts
6
FINAL
2 Bears
30-28-6, 66pts
Team Stats
OTL1SéquenceL1
11-19-1Fiche domicile13-13-4
12-12-4Fiche domicile17-15-2
3-5-2Derniers 10 matchs5-5-0
3.44Buts par match 3.22
4.27Buts contre par match 3.23
29.87%Pourcentage en avantage numérique29.18%
64.79%Pourcentage en désavantage numérique71.06%
Bears
30-28-6, 66pts
Jour 136
Admirals
31-24-4, 66pts
Statistiques d’équipe
L1SéquenceW5
13-13-4Fiche domicile12-14-4
17-15-2Fiche visiteur19-10-0
5-5-010 derniers matchs6-4-0
3.22Buts par match 3.81
3.23Buts contre par match 3.81
29.18%Pourcentage en avantage numérique25.41%
71.06%Pourcentage en désavantage numérique69.89%
Phantoms
26-28-7, 59pts
Jour 138
Bears
30-28-6, 66pts
Statistiques d’équipe
L8SéquenceL1
10-16-4Fiche domicile13-13-4
16-12-3Fiche visiteur17-15-2
1-9-010 derniers matchs5-5-0
3.28Buts par match 3.22
3.72Buts contre par match 3.22
23.10%Pourcentage en avantage numérique29.18%
71.85%Pourcentage en désavantage numérique71.06%
Bears
30-28-6, 66pts
Jour 140
Admirals
31-24-4, 66pts
Statistiques d’équipe
L1SéquenceW5
13-13-4Fiche domicile12-14-4
17-15-2Fiche visiteur19-10-0
5-5-010 derniers matchs6-4-0
3.22Buts par match 3.81
3.23Buts contre par match 3.81
29.18%Pourcentage en avantage numérique25.41%
71.06%Pourcentage en désavantage numérique69.89%
Meneurs d'équipe
Buts
Raphael Lavoie
33
Passes
Raphael Lavoie
49
Points
Raphael Lavoie
82
Plus/Moins
Ryan McCleary
17
Victoires
Collin Delia
19
Pourcentage d’arrêts
Vinny Duplessis
0.894

Statistiques d’équipe
Buts pour
206
3.22 GFG
Tirs pour
1887
29.48 Avg
Pourcentage en avantage numérique
29.2%
75 GF
Début de zone offensive
38.0%
Buts contre
207
3.23 GAA
Tirs contre
1887
29.48 Avg
Pourcentage en désavantage numérique
71.1%%
79 GA
Début de la zone défensive
36.5%
Informations de l'équipe

Directeur généralGuenter
EntraîneurSteve Ott
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance8,000
Billets de saison800


Informations de la formation

Équipe Pro32
Équipe Mineure21
Limite contact 53 / 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
1Tyson GrossX100.0060606060607070606060606060485906800223650,000$
2Conor ShearyXX100.00605092736878906661686466656565073003211,100,000$
3Raphael LavoieX100.00655086708277866661656768655763082002411,378,125$
4Jacob MelansonXX100.0073508462787683626161627365495808200212866,250$
5Mitchell StephensXXX100.0068509365767689697765657465636603900271650,000$
6Givani SmithXX100.0073668264817578656165656965566307700261900,000$
7Jon-Randall AvonX100.0060606060607070606060606060415606100211787,500$
8Jackson HallumXXX100.0060606060607070606060606060415605900221825,000$
9Owen BeckX100.00665088707576946770696670654156080002011,500,000$
10Luca Del Bel BelluzXXX100.00605094727180946978696967654156082002111,250,000$
11Stephen Halliday (R)X100.0060606060607070606060606060465505600222825,000$
12Brayden Yager (R)XX100.00606060606070706060606060605055078001931,500,000$
13Cam DineenX100.0060509273718490652568637365617008100261930,000$
14Ryan SheaX100.0065509271828381702565687765546205300271650,000$
15Ryan McClearyX100.0060606060607070606060606060415607900211700,000$
16Adam Engstrom (R)X100.0060606060607070606060606060465507200212825,000$
17Anton Johansson (R)X100.0060606060607070606060606060465506300203825,000$
18Terrell Goldsmith (R)X100.0060606060607070606060606060505506300193825,000$
Rayé
1Benoit-Olivier GroulxX100.00606060606070706060606060605561051002411,378,125$
2Ryan TverbergXXX100.0060606060607070606060606060415606100221650,000$
3Daniil ZhilkinX100.00606060606070706060606060604156068002111,250,000$
4Miko Matikka (R)XX100.0060606060607070606060606060445505000212975,000$
5Nico Myatovic (R)XX100.00606060606070706060606060605055065002031,250,000$
6Connor Clattenburg (R)X100.0060606060607070606060606060465505500193700,000$
7Topi NiemelaX91.41606060606070706060606060604957045002211,023,750$
8Marshall RifaiX100.0060606060607070606060606060405506300262650,000$
9Luca Marrelli (R)X100.0060606060607070606060606060485506000193975,000$
MOYENNE D’ÉQUIPE99.676257706365737662596262646249580650
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
1Carter Gylander100.006070706060606060606060415606200232880,000$
2Vinny Duplessis99.006070706060606060606060415607901252682,500$
Rayé
1Kristoffer Eberly100.006070706060606060606060465806400223670,000$
2Gustavs Davis Grigals100.006070706060606060606060505707900261650,000$
3Collin Delia100.006070706060606060606060626905200301650,000$
MOYENNE D’ÉQUIPE99.80607070606060606060606048590670
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Ott7777708264691CAN432600,000$


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
1Raphael LavoieBears (WSH)C64334982654301131102529417413.10%31145822.7812183039184437171861550.92%6013622011.1200123692
2Luca Del Bel BelluzBears (WSH)C/LW/RW63314677162525631241964312215.82%28126020.011322354218122491833154.99%10223122211.2203221546
3Owen BeckBears (WSH)C5726315712363070921935511213.47%28104718.3791221391260002462054.88%7783423001.0911132433
4Conor ShearyBears (WSH)LW/RW59173754235355890185551459.19%17109518.5651419311450001333154.45%4723416000.9912214135
5Givani SmithBears (WSH)LW/RW642227491218680102981946412011.34%28137821.53614202617911271694249.53%3212829010.7100655431
6Jacob MelansonBears (WSH)LW/RW64221840-320108788145509115.17%34126319.75108182818131471426036.36%882521010.6304002217
7Ryan SheaBears (WSH)D5852328122104910910236474.90%91132422.83437231590223168000%02443000.4200011201
8Topi NiemelaBears (WSH)D4961723514660705057212310.53%3797319.87671315135011692010%01118000.4700534011
9Cam DineenBears (WSH)D463172012202018647231274.17%46103122.43257141230221132100%02531000.3900220100
10Lian BichselCapitalsD123811010014203216169.38%1728423.733251130000040000%095000.7700000001
11Marshall RifaiBears (WSH)D28371055030314728131410.71%2655819.94224468011060000%0522000.3600213000
12Jon-Randall AvonBears (WSH)C31279-830103821289237.14%1241413.38134951000040070.00%2037000.4300011000
13Ryan McClearyBears (WSH)D4318917864048613014153.33%4284119.58123567011079000%0515000.2100224000
14Anton JohanssonBears (WSH)D50268-201185045634212114.76%3391718.35022333000189100%0426000.1700460001
15Terrell GoldsmithBears (WSH)D35268-101195547433612105.56%3371020.31112672000169000%079100.2300227000
16Tyson GrossBears (WSH)RW47437-24410351926131615.38%63948.39022036000022037.93%2925000.3511110001
17Benoit-Olivier GroulxBears (WSH)C49437-29230566635182411.43%1070414.380000120001292140.35%114215000.2000231000
18Brayden YagerBears (WSH)C/RW4343748440562140192010.00%1352312.1800003000000054.17%2438000.2700404110
19Jackson HallumBears (WSH)C/LW/RW26246-10322028223313126.06%832912.6900003000002042.86%2175000.3600121001
20Adam EngstromBears (WSH)D41066-1597654736199160%4069917.06011233000056000%0614000.1700445000
21Nico MyatovicBears (WSH)C/LW42123-12605031242512204.00%53127.4500018000000036.36%1144000.1900424010
22Luca MarrelliBears (WSH)D2411263820252516566.25%1140616.92000226000115000%018000.1000121000
23Mitchell StephensBears (WSH)C/LW/RW3011-100327240%24515.2900010011140040.00%510000.4400000000
24Stephen HallidayBears (WSH)C33101-71410231521754.76%81564.7400001000020046.15%6512000.1300011000
25Connor ClattenburgBears (WSH)LW21101-260161084012.50%31356.4600000000000036.96%4611000.1500000010
26Ryan TverbergBears (WSH)C/LW/RW21000-160181220%1884.230000200000000%11000000000000
27Daniil ZhilkinBears (WSH)C27000-128101074340%21114.1400000000020038.46%131100000110000
28Miko MatikkaBears (WSH)LW/RW16000-275826100%1684.2800003000000075.00%40000000100000
Statistiques d’équipe totales ou en moyenne111619633052621465745119213371833633107910.69%6131853916.61751181933011871101525581615271152.19%3635311372340.57311484754262730
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
1Collin DeliaBears (WSH)39191530.8903.042191421111013574200.8336390113
2Vinny DuplessisBears (WSH)218910.8943.2912050066621362101.00031831001
3Carter GylanderBears (WSH)82410.8843.554060024207107301.0003713000
4Gustavs Davis GrigalsBears (WSH)31010.8914.057400546290000020000
Statistiques d’équipe totales ou en moyenne71302860.8913.193877422061887107260126464114


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 EngstromBears (WSH)D212003-11-17SWEYes190 Lbs6 ft0NoNoProspectNoNo22025-08-31FalseFalsePro & Farm825,000$232,580$82,500$23,258$No825,000$--------825,000$--------No--------
Anton JohanssonBears (WSH)D202004-06-10SWEYes196 Lbs6 ft2NoNoProspectNoNo32025-08-31FalseFalsePro & Farm825,000$232,580$82,500$23,258$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Benoit-Olivier GroulxBears (WSH)C242000-02-06CANNo198 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,378,125$388,514$137,812$38,851$No---------------------------
Brayden YagerBears (WSH)C/RW192005-01-03CANYes170 Lbs5 ft10NoNoProspectNoNo32025-08-31FalseFalsePro & Farm1,500,000$422,872$150,000$42,287$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Cam DineenBears (WSH)D261998-06-19USANo188 Lbs5 ft11NoNoAssign ManuallyNoNo12025-11-06FalseFalsePro & Farm930,000$262,181$93,000$26,218$No---------------------------
Carter GylanderBears (WSH)G232001-06-05CANNo195 Lbs6 ft5NoNoAssign ManuallyNoNo22025-11-06FalseFalsePro & Farm880,000$248,085$88,000$24,809$No880,000$--------880,000$--------No--------
Collin Delia (contrat à 1 volet)Bears (WSH)G301994-06-20USANo208 Lbs6 ft2NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm650,000$178,226$650,000$178,226$No---------------------------
Connor ClattenburgBears (WSH)LW192005-05-02CANYes100 Lbs4 ft0NoNoDraftNoNo32025-08-31FalseFalsePro & Farm700,000$197,340$70,000$19,734$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Conor ShearyBears (WSH)LW/RW321992-06-08USANo182 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$310,106$110,000$31,011$No---------------------------
Daniil ZhilkinBears (WSH)C212003-12-19CANNo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No---------------------------
Givani SmithBears (WSH)LW/RW261998-02-27CANNo214 Lbs6 ft2NoNoAssign ManuallyNoNo12025-10-31FalseFalsePro & Farm900,000$253,723$90,000$25,372$No---------------------------
Gustavs Davis GrigalsBears (WSH)G261998-07-22LATNo196 Lbs6 ft2NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
Jackson HallumBears (WSH)C/LW/RW222002-09-08USANo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm825,000$232,580$82,500$23,258$No---------------------------
Jacob MelansonBears (WSH)LW/RW212003-04-22CANNo207 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm866,250$244,209$86,625$24,421$No866,250$--------866,250$--------No--------
Jon-Randall AvonBears (WSH)C212003-07-04CANNo174 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm787,500$222,008$78,750$22,201$No---------------------------
Kristoffer EberlyBears (WSH)G222002-02-10USANo207 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm670,000$188,883$67,000$18,888$No670,000$670,000$-------670,000$670,000$-------NoNo-------
Luca Del Bel BelluzBears (WSH)C/LW/RW212003-11-10CANNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No---------------------------
Luca MarrelliBears (WSH)D192005-10-04CANYes185 Lbs6 ft0NoNoDraftNoNo32025-08-31FalseFalsePro & Farm975,000$274,867$97,500$27,487$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Marshall RifaiBears (WSH)D261998-03-16CANNo205 Lbs6 ft2NoNoFree AgentNoNo22025-06-26FalseFalsePro & Farm650,000$183,245$65,000$18,324$No650,000$--------650,000$--------No--------
Miko MatikkaBears (WSH)LW/RW212003-10-26FINYes201 Lbs6 ft1NoNoProspectNoNo22025-08-31FalseFalsePro & Farm975,000$274,867$97,500$27,487$No975,000$--------975,000$--------No--------
Mitchell Stephens (contrat à 1 volet)Bears (WSH)C/LW/RW271997-02-05CANNo203 Lbs6 ft0NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$178,226$650,000$178,226$No---------------------------
Nico MyatovicBears (WSH)C/LW202004-12-01CANYes196 Lbs6 ft0NoNoProspectNoNo32025-08-31FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Owen BeckBears (WSH)C202004-02-03CANNo199 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$422,872$150,000$42,287$No---------------------------
Raphael LavoieBears (WSH)C242000-09-25CANNo215 Lbs6 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,378,125$388,514$137,812$38,851$No---------------------------
Ryan McClearyBears (WSH)D212003-09-09CANNo181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$197,340$70,000$19,734$No---------------------------
Ryan SheaBears (WSH)D271997-02-11USANo220 Lbs6 ft1NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
Ryan TverbergBears (WSH)C/LW/RW222002-01-30CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$183,245$65,000$18,324$No---------------------------
Stephen HallidayBears (WSH)C222002-07-02CANYes212 Lbs6 ft2NoNoProspectNoNo22025-08-31FalseFalsePro & Farm825,000$232,580$82,500$23,258$No825,000$--------825,000$--------No--------
Terrell GoldsmithBears (WSH)D192005-05-13CANYes218 Lbs6 ft2NoNoProspectNoNo32025-08-31FalseFalsePro & Farm825,000$232,580$82,500$23,258$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Topi Niemela (sur la masse salariale)Bears (WSH)D222002-03-25FINNo165 Lbs5 ft11NoNoTrade2025-10-20NoNo1FalseFalsePro & Farm1,023,750$288,610$102,375$28,861$No---------------------------
Tyson GrossBears (WSH)RW222002-09-23CANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$183,245$65,000$18,324$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Vinny DuplessisBears (WSH)G251999-03-19CANNo170 Lbs6 ft1NoNoTrade2025-11-01NoNo22025-09-08FalseFalsePro & Farm682,500$192,407$68,250$19,241$No682,500$--------682,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.84192 Lbs6 ft01.72917,852$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Givani SmithLuca Del Bel BelluzTyson Gross28122
2Jacob MelansonOwen BeckConor Sheary28122
3Mitchell StephensRaphael LavoieJackson Hallum25122
4Brayden YagerStephen HallidayJon-Randall Avon19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam DineenRyan McCleary35122
2Anton JohanssonRyan Shea35122
3Adam EngstromTerrell Goldsmith30122
4Cam DineenRyan Shea0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Raphael LavoieLuca Del Bel BelluzGivani Smith50122
2Jacob MelansonOwen BeckConor Sheary50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam DineenRyan McCleary50122
2Ryan SheaTerrell Goldsmith50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mitchell StephensJacob Melanson50122
2Luca Del Bel BelluzGivani Smith50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McClearyCam Dineen50122
2Anton JohanssonRyan Shea50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mitchell Stephens50122Ryan McClearyRyan Shea50122
2Luca Del Bel Belluz50122Cam DineenTerrell Goldsmith50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luca Del Bel BelluzGivani Smith50122
2Mitchell StephensJacob Melanson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam DineenTerrell Goldsmith50122
2Ryan SheaAnton Johansson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Luca Del Bel BelluzRaphael LavoieGivani SmithRyan SheaCam Dineen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Luca Del Bel BelluzRaphael LavoieGivani SmithRyan SheaCam Dineen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Givani Smith, Raphael Lavoie, Tyson GrossGivani Smith, Raphael LavoieRaphael Lavoie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam Dineen, Ryan Shea, Terrell GoldsmithCam DineenCam Dineen, Anton Johansson
Tirs de pénalité
Jacob Melanson, Tyson Gross, Luca Del Bel Belluz, Raphael Lavoie, Givani Smith
Gardien
#1 : Vinny Duplessis, #2 : Carter Gylander


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
1Admirals311001001010031100100101000000000000030.50010162600428176791588657622319527925312433.33%11190.91%0723138552.20%678133150.94%50493354.02%125058312676561363689
2Americans3010011078-11010000034-12000011044030.500791600428176781588657622317927966111218.18%13469.23%1723138552.20%678133150.94%50493354.02%125058312676561363689
3Bills11000000633000000000001100000063321.00069150042817672458865762231291436142150.00%8187.50%2723138552.20%678133150.94%50493354.02%125058312676561363689
4Blood Miners1010000012-11010000012-10000000000000.000123004281767365886576223136101920400.00%7271.43%0723138552.20%678133150.94%50493354.02%125058312676561363689
5Blossom Bytes4200110016142200011009902200000075270.8751627430042817671145886576223112442708214642.86%20765.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
6Bulldogs1010000002-2000000000001010000002-200.00000000428176712588657622312871819100.00%4250.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
7Crunch11000000321110000003210000000000021.0003470042817672658865762231271013172150.00%4175.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
8Eagles1010000049-51010000049-50000000000000.0004711004281767175886576223138812254125.00%6350.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
9Gorillas1010000025-3000000000001010000025-300.000235004281767295886576223127192203266.67%110.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
10Griffins1010000014-31010000014-30000000000000.000112004281767255886576223127157515500.00%5180.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
11Grisards2200000012570000000000022000000125741.00012223400428176776588657622316723304510440.00%5180.00%1723138552.20%678133150.94%50493354.02%125058312676561363689
12Gulls403001001419-52010010057-220200000912-310.1251423370042817671305886576223114244716923626.09%18572.22%0723138552.20%678133150.94%50493354.02%125058312676561363689
13Moose2020000024-21010000012-11010000012-100.0002350042817673958865762231481221303133.33%8362.50%0723138552.20%678133150.94%50493354.02%125058312676561363689
14Mountaineers1010000014-3000000000001010000014-300.000123004281767215886576223123738222150.00%4175.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
15Norsemen30200010811-31010000023-12010001068-220.3338122000428176786588657622319423634312325.00%14564.29%1723138552.20%678133150.94%50493354.02%125058312676561363689
16Penguins623010001415-12010100045-1422000001010060.500142640004281767194588657622311496114911725520.00%17382.35%0723138552.20%678133150.94%50493354.02%125058312676561363689
17Phantoms11000000541110000005410000000000021.000591400428176728588657622312236145240.00%3233.33%0723138552.20%678133150.94%50493354.02%125058312676561363689
18Rams523000001418-420200000613-73210000085340.400142135004281767163588657622312086910711218316.67%311067.74%1723138552.20%678133150.94%50493354.02%125058312676561363689
19Redhawks1000000156-1000000000001000000156-110.5005813004281767355886576223136923197342.86%4175.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
20Roadrunners1010000013-21010000013-20000000000000.00012300428176721588657622311966183133.33%3166.67%0723138552.20%678133150.94%50493354.02%125058312676561363689
21Rocket10000010321100000103210000000000021.00034700428176717588657622312679115120.00%2150.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
22Saints11000000422110000004220000000000021.0004812004281767495886576223126933308112.50%4250.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
23Senators42200000131031100000050531200000810-240.5001318310142817671135886576223110532488413430.77%14564.29%0723138552.20%678133150.94%50493354.02%125058312676561363689
24Titans311010001394110000005142010100088040.667132033004281767109588657622318625625313538.46%16381.25%0723138552.20%678133150.94%50493354.02%125058312676561363689
25Whalers3210000015132211000008801100000075240.66715254000428176769588657622317422916411436.36%13653.85%4723138552.20%678133150.94%50493354.02%125058312676561363689
26Wolf Pack622011002020021000100651412010001415-170.5832032520142817671945886576223119768181111311032.26%28678.57%0723138552.20%678133150.94%50493354.02%125058312676561363689
27Wolves330000001239220000009271100000031261.000122032004281767885886576223155211205310440.00%10190.00%0723138552.20%678133150.94%50493354.02%125058312676561363689
Total64232804531206207-1301013024109597-2341315021211111101660.5162063335390242817671887588657622311887620149112212577529.18%2737971.06%10723138552.20%678133150.94%50493354.02%125058312676561363689
_Since Last GM Reset64232804531206207-1301013024109597-2341315021211111101660.5162063335390242817671887588657622311887620149112212577529.18%2737971.06%10723138552.20%678133150.94%50493354.02%125058312676561363689
_Vs Conference5220210452017516312238902400787352912120212097907570.548175283458024281767157558865762231154549912079912116329.86%2216271.95%8723138552.20%678133150.94%50493354.02%125058312676561363689
_Vs Division1910130440059509935024003027310780200029236320.842598614501428176753758865762231556195504367661624.24%872472.41%4723138552.20%678133150.94%50493354.02%125058312676561363689

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6466L1206333539188718876201491122102
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6423284531206207
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30101324109597
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3413152121111110
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2577529.18%2737971.06%10
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
588657622314281767
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
723138552.20%678133150.94%50493354.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
125058312676561363689


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
315Admirals2Bears5WSommaire du match
431Bears4Gulls6LSommaire du match
749Titans1Bears5WSommaire du match
854Bears0Penguins2LSommaire du match
1177Bears8Wolf Pack3WSommaire du match
1287Moose2Bears1LSommaire du match
15109Blossom Bytes5Bears6WXSommaire du match
17126Bears4Norsemen3WXXSommaire du match
18133Bears3Wolf Pack4LSommaire du match
20152Wolf Pack5Bears4LXSommaire du match
21157Bears4Penguins1WSommaire du match
24176Bears2Senators3LSommaire du match
27190Wolves1Bears3WSommaire du match
29211Blossom Bytes4Bears3LXSommaire du match
30216Bears5Penguins3WSommaire du match
32226Bears0Wolf Pack6LSommaire du match
34239Bears3Rams1WSommaire du match
36252Admirals5Bears3LSommaire du match
39271Bears6Bills3WSommaire du match
41285Norsemen3Bears2LSommaire du match
44309Eagles9Bears4LSommaire du match
47323Bears5Gulls6LSommaire du match
49340Rams6Bears2LSommaire du match
52368Crunch2Bears3WSommaire du match
54381Bears1Moose2LSommaire du match
56401Penguins3Bears1LSommaire du match
58414Bears7Grisards3WSommaire du match
60425Bears7Whalers5WSommaire du match
61438Gulls3Bears2LXSommaire du match
64453Bears4Rams2WSommaire du match
66465Bears3Wolf Pack2WXSommaire du match
67475Rocket2Bears3WXXSommaire du match
70493Bears4Blossom Bytes3WSommaire du match
72506Wolves1Bears6WSommaire du match
74520Bears5Redhawks6LXXSommaire du match
77538Americans4Bears3LSommaire du match
79558Bears1Americans2LXSommaire du match
81570Griffins4Bears1LSommaire du match
84590Bears0Senators3LSommaire du match
86602Admirals3Bears2LXSommaire du match
88619Bears6Senators4WSommaire du match
90632Bears2Norsemen5LSommaire du match
91638Blood Miners2Bears1LSommaire du match
93659Bears0Bulldogs2LSommaire du match
94670Whalers2Bears6WSommaire du match
97689Bears1Mountaineers4LSommaire du match
99702Roadrunners3Bears1LSommaire du match
102723Bears3Americans2WXXSommaire du match
104734Senators0Bears5WSommaire du match
106750Bears3Wolves1WSommaire du match
108765Wolf Pack0Bears2WSommaire du match
110776Bears3Blossom Bytes2WSommaire du match
112792Bears3Titans4LSommaire du match
113799Rams7Bears4LSommaire du match
116821Bears5Titans4WXSommaire du match
117829Bears1Penguins4LSommaire du match
118835Saints2Bears4WSommaire du match
121859Bears5Grisards2WSommaire du match
122864Gulls4Bears3LSommaire du match
126896Penguins2Bears3WXSommaire du match
128911Bears1Rams2LSommaire du match
129926Bears2Gorillas5LSommaire du match
130928Phantoms4Bears5WSommaire du match
134960Whalers6Bears2LSommaire du match
136970Bears-Admirals-
138987Phantoms-Bears-
140997Bears-Admirals-
1431023Blossom Bytes-Bears-
1471054Moose-Bears-
1481063Bears-Wolf Pack-
1511085Titans-Bears-
1521089Bears-Octopus-
1561117Bears-Phantoms-
1571124Titans-Bears-
1601149Bears-Phantoms-
1611152Silver Knights-Bears-
1651183Grisards-Bears-
1661187Bears-Gulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1701216White Wolves-Bears-
1751246Reign-Bears-
1801273Reign-Bears-
1861308Silver Knights-Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets289
Assistance75,000165,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 8000 - 100.00% 143,400$4,302,000$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,464,736$ 2,704,749$ 2,704,749$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,578$ 2,464,736$ 29 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,577,400$ 53 17,578$ 931,634$




Bears 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

Bears 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

Bears 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

Bears 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

Bears 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