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Moose
GP: 84 | W: 36 | L: 35 | OTL: 13 | P: 85
GF: 149 | GA: 179 | PP%: 24.50% | PK%: 74.27%
DG: Quentin Robb | Morale : 35 | Moyenne d’équipe : 58
Prochains matchs #1313 vs Griffins

Centre de jeu
Eagles
27-40-18, 72pts
1
2 Moose
36-35-13, 85pts
Team Stats
SOL1SéquenceL1
15-20-7Fiche domicile17-18-8
12-20-11Fiche domicile19-17-5
3-5-2Derniers 10 matchs6-3-1
2.14Buts par match 1.77
2.86Buts contre par match 2.13
31.09%Pourcentage en avantage numérique24.50%
71.58%Pourcentage en désavantage numérique74.27%
Moose
36-35-13, 85pts
1
4 Phantoms
40-35-9, 89pts
Team Stats
L1SéquenceW1
17-18-8Fiche domicile21-18-4
19-17-5Fiche domicile19-17-5
6-3-1Derniers 10 matchs5-5-0
1.77Buts par match 2.69
2.13Buts contre par match 2.81
24.50%Pourcentage en avantage numérique27.23%
74.27%Pourcentage en désavantage numérique66.82%
Moose
36-35-13, 85pts
Jour 109
Griffins
42-24-18, 102pts
Statistiques d’équipe
L1SéquenceW2
17-18-8Fiche domicile24-12-6
19-17-5Fiche visiteur18-12-12
6-3-110 derniers matchs4-4-2
1.77Buts par match 2.79
2.13Buts contre par match 2.79
24.50%Pourcentage en avantage numérique32.80%
74.27%Pourcentage en désavantage numérique75.21%
Moose
36-35-13, 85pts
Jour 110
Stars
56-16-13, 125pts
Statistiques d’équipe
L1SéquenceOTL1
17-18-8Fiche domicile27-9-6
19-17-5Fiche visiteur29-7-7
6-3-110 derniers matchs7-1-2
1.77Buts par match 3.19
2.13Buts contre par match 3.19
24.50%Pourcentage en avantage numérique26.23%
74.27%Pourcentage en désavantage numérique73.94%
Meneurs d'équipe
Tyson JostButs
Tyson Jost
36
Tyson JostPasses
Tyson Jost
32
Tyson JostPoints
Tyson Jost
68
Plus/Moins
Joakim Kemell
5
James ReimerVictoires
James Reimer
36
Pourcentage d’arrêts
Marcus Hogberg
0.916

Statistiques d’équipe
Buts pour
149
1.77 GFG
Tirs pour
1017
12.11 Avg
Pourcentage en avantage numérique
24.5%
37 GF
Début de zone offensive
34.1%
Buts contre
179
2.13 GAA
Tirs contre
1453
17.30 Avg
Pourcentage en désavantage numérique
74.3%%
44 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur généralQuentin Robb
EntraîneurBob Essensa
DivisionDivision 4
ConférenceConference 2
CapitaineJohn Klingberg
Assistant #1Adam Boqvist
Assistant #2Tyson Jost


Informations de l’aréna

Capacité3,000
Assistance2,875
Billets de saison1,500


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 100
Espoirs149


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 Jost (A)XXX98.0077577776685670655263635925747660766302832,000,000$
2Phillip Di GiuseppeX98.0092469473705960613170586663697063486303231,750,000$
3Chris WagnerXX100.0085908576724788585550557063717561336203531,600,000$
4Derek RyanXX98.0069429069645466608762576875777959676203912,250,000$
5Joakim Kemell (R)X100.0071668268677883625057646260454563336102211,450,000$
6Ross JohnstonXX100.0096995671895262612457546325676758706103212,160,000$
7Alex Barre-BouletXX100.0068638267635755648064625960474661595902921,524,000$
8Taylor WardX100.007576756877778354504856605447475859590281972,000$
9Joseph BlandisiX100.0066676166677174627860625659474759395903112,190,000$
10Kurtis MacDermidX100.0082997374904448562549535725686755595703222,000,000$
11Wyatt BongiovanniX100.0074708666705250585048656264464661585702611,063,333$
12Chase WoutersX100.0068677565675556516849515650474654595402621,064,000$
13Adam Boqvist (A)X100.0062419169706456742562506225666759496202531,484,000$
14Oliver KylingtonX100.0058418887675946602554476825656656326202932,000,000$
15John Klingberg (C)X100.0064428068707139582559496625788258256203331,750,000$
16Chase PriskieX100.0076708766707377632555586150474758666203012,157,000$
17Dillon HeatheringtonX100.0081817962816874472536426137474849575903112,126,000$
18Gustav OlofssonX100.0078768664766266502543436039474751505803121,200,000$
19David Reinbacher (R)X100.0076777563784239542540536250454555255502131,274,000$
Rayé
1Carson Rehkopf (R)X100.0083769980765153445038446442444454195402131,271,000$
2Devin Kaplan (R)X100.0081739980734546445038446342444453195302231,265,000$
3Kevin ConleyXXX100.0074727962724443486044476045444452205102911,026,000$
4Travis HoweX100.0071834260834445455040445842444448205003211,007,000$
5Kalan Lind (R)X100.0059644780643230445038445242444447204802131,326,000$
6Nikolas BrouillardX98.4866627866625455522548435440474751485403111,041,000$
7Connor Kelley (R)X100.0080739981743230402527396037454549195402331,330,000$
MOYENNE D’ÉQUIPE99.71746879707256575544505261455455564358
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
1James Reimer100.005954577864607368696183757560826603832,211,000$
2Marcus Hogberg (R)100.005952529665537161665971505060816203132,180,000$
Rayé
1Thomas Milic100.004440506543425051464730444446204702331,025,000$
MOYENNE D’ÉQUIPE100.0054495380575265606056615656556158
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Essensa45444345434337TUR812800,000$


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
1Tyson JostMoose (WPG)C/LW/RW843632682435122115179569420.11%23178321.2310112131972024939549.66%1474426000.76110101168
2Derek RyanMoose (WPG)C/RW84211536217590122113287318.58%19174220.7432517970113713259.43%1062428000.4136001335
3Phillip Di GiuseppeMoose (WPG)LW77142034-3475105127105276813.33%23163721.2634799000031034037.66%4013323000.4236100430
4Fedor SvechkovJetsC641121321600433012442878.87%65969.3200000000001052.17%207229001.0700000001
5Jakub VranaJetsLW51131831160558377336216.88%1592118.07651114630001354040.99%2222116000.6704000263
6Ross JohnstonMoose (WPG)LW/RW8492130-494201209145153520.00%10131015.60513181981000002236.59%511927000.4624103235
7Chase PriskieMoose (WPG)D8442529-1166301161607038315.71%65211325.1724691290001102000%03062000.2700114104
8Adam BoqvistMoose (WPG)D7702323-160541126826240%64168821.930222770110350050.00%22132000.2700000023
9Chris WagnerMoose (WPG)C/RW6081220-84830857254173114.81%14108318.060664520000453050.00%1501318000.3703123211
10Alex Barre-BouletMoose (WPG)C/RW84101020-182808411483254012.05%12145117.27101117000062058.35%5691825000.2811000101
11Joseph BlandisiMoose (WPG)C7441115-224010129804613278.70%12127617.251673660112180059.88%1721915000.2400011122
12Taylor WardMoose (WPG)RW848513-93001131122571532.00%20148917.733143780002960344.84%3971419100.1728000014
13Dillon HeatheringtonMoose (WPG)D843912-965259214030101910.00%62199423.741123940110134000%0944000.1200122021
14Oliver KylingtonMoose (WPG)D7501010-1420551163112130%42155020.6700012100021170020.00%52222000.1300000010
15Kurtis MacDermidMoose (WPG)LW84461041608057278814.81%485410.170000140001230035.71%1499000.2300000020
16Nikolas BrouillardMoose (WPG)D83336-101404863146721.43%24143417.292245130000091000%0211000.0800000000
17Joakim KemellMoose (WPG)RW161455207313497.69%41106.8900000000000050.00%220000.9100000000
18Adam KlapkaJetsRW11314-216101313182916.67%423721.620110211012181039.44%7165000.3400101111
19John KlingbergMoose (WPG)D70033-63210297614330%2086812.4101107000029000%1313000.0700002000
20Chase WoutersMoose (WPG)C84213260392670628.57%13754.4700000000002053.52%7142000.1600000001
21David ReinbacherMoose (WPG)D26022-2401092000%12268.7200002000020050.00%221000.1800000000
22Wyatt BongiovanniMoose (WPG)LW84112500311943725.00%13063.6500000000040050.00%222000.1301000001
23Gustav OlofssonMoose (WPG)D75011-16027416110%778410.4700003000011000%129000.0300000000
24Devin KaplanMoose (WPG)RW9011100330010%1616.800110300000000%000000.3300000000
25Connor KelleyMoose (WPG)D47000-100010000%0551.170000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1655155255410-11454815015501785115537667013.42%4542595415.683760971211151347211041311247.07%3053331418100.3212346717283341
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
1James ReimerMoose (WPG)843633130.8772.0549282141681369781110.76534840552
2Marcus HogbergMoose (WPG)70200.9162.5216700783511000084000
Statistiques d’équipe totales ou en moyenne913635130.8792.065096214175145283221348484552


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 BoqvistMoose (WPG)D252000-08-15SWENo191 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,484,000$53,000$0$0$No1,484,000$1,484,000$-------1,484,000$1,484,000$-------NoNo-------Lien
Alex Barre-BouletMoose (WPG)C/RW291997-05-21QUENo178 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,524,000$54,429$0$0$No1,524,000$--------1,524,000$--------No--------Lien / Lien NHL
Carson RehkopfMoose (WPG)LW212005-01-07CANYes200 Lbs6 ft3NoNoTrade2026-05-14NoNo32025-10-22FalseFalsePro & Farm1,271,000$45,393$0$0$No1,271,000$1,271,000$-------1,271,000$1,271,000$-------NoNo-------Lien
Chase PriskieMoose (WPG)D301996-03-19USANo197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,157,000$77,036$0$0$No---------------------------Lien
Chase WoutersMoose (WPG)C262000-02-08SKWNo182 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,064,000$38,000$0$0$No1,064,000$--------1,064,000$--------No--------Lien
Chris WagnerMoose (WPG)C/RW351991-05-27USANo192 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,600,000$57,143$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Lien / Lien NHL
Connor KelleyMoose (WPG)D232002-07-30USAYes195 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,330,000$47,500$0$0$No1,330,000$1,330,000$-------1,330,000$1,330,000$-------NoNo-------Lien
David ReinbacherMoose (WPG)D212004-10-25AUTYes209 Lbs6 ft3NoNoTrade2026-05-14NoNo32025-10-22FalseFalsePro & Farm1,274,000$45,500$0$0$No1,274,000$1,274,000$-------1,274,000$1,274,000$-------NoNo-------Lien
Derek RyanMoose (WPG)C/RW391986-12-29USANo185 Lbs5 ft10NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,250,000$80,357$0$0$No---------------------------Lien / Lien NHL
Devin KaplanMoose (WPG)RW222004-01-10USAYes199 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,265,000$45,179$0$0$No1,265,000$1,265,000$-------1,265,000$1,265,000$-------NoNo-------Lien
Dillon HeatheringtonMoose (WPG)D311995-05-09CANNo215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm2,126,000$75,929$0$0$No---------------------------Lien
Gustav OlofssonMoose (WPG)D311994-12-01SWENo201 Lbs6 ft3NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm1,200,000$42,857$0$0$No1,200,000$--------1,200,000$--------No--------Lien
James ReimerMoose (WPG)G381988-03-15CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo32025-12-08FalseFalsePro & Farm2,211,000$78,964$0$0$No2,211,000$2,211,000$-------2,211,000$2,211,000$-------NoNo-------Lien / Lien NHL
Joakim KemellMoose (WPG)RW222004-04-27FINYes182 Lbs5 ft11NoNoTrade2026-05-14NoNo1FalseFalsePro & Farm1,450,000$51,786$0$0$No---------------------------Lien
John KlingbergMoose (WPG)D331992-08-14SWENo185 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,750,000$62,500$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien / Lien NHL
Joseph BlandisiMoose (WPG)C311994-07-18CANNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,190,000$78,214$0$0$No---------------------------Lien / Lien NHL
Kalan LindMoose (WPG)LW212005-01-25SKYes170 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,326,000$47,357$0$0$No1,326,000$1,326,000$-------1,326,000$1,326,000$-------NoNo-------Lien
Kevin ConleyMoose (WPG)C/LW/RW291997-02-17USANo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,026,000$36,643$0$0$No---------------------------Lien
Kurtis MacDermidMoose (WPG)LW321994-03-25CANNo233 Lbs6 ft5NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm2,000,000$71,429$0$0$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Marcus HogbergMoose (WPG)G311994-11-25SWEYes234 Lbs6 ft5NoNoAssign ManuallyNoNo32025-12-08FalseFalsePro & Farm2,180,000$77,857$0$0$No2,180,000$2,180,000$-------2,180,000$2,180,000$-------NoNo-------Lien
Nikolas BrouillardMoose (WPG)D311995-02-07QUENo172 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,041,000$37,179$0$0$No---------------------------Lien
Oliver KylingtonMoose (WPG)D291997-05-19SWENo183 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$71,429$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Phillip Di GiuseppeMoose (WPG)LW321993-10-09CANNo193 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,750,000$62,500$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien
Ross JohnstonMoose (WPG)LW/RW321994-02-18CANNo232 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm2,160,000$77,143$0$0$No---------------------------Lien / Lien NHL
Taylor WardMoose (WPG)RW281998-03-31CANNo207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm972,000$34,714$0$0$No---------------------------Lien
Thomas MilicMoose (WPG)G232003-04-13BCNo179 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,025,000$36,607$0$0$No1,025,000$1,025,000$-------1,025,000$1,025,000$-------NoNo-------Lien
Travis HoweMoose (WPG)RW321994-02-10USANo229 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,007,000$35,964$0$0$No---------------------------Lien
Tyson JostMoose (WPG)C/LW/RW281998-03-14CANNo187 Lbs5 ft11NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$71,429$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Wyatt BongiovanniMoose (WPG)LW261999-07-24USANo193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,063,333$37,976$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2928.66197 Lbs6 ft12.101,575,736$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph BlandisiAlex Barre-BouletPhillip Di Giuseppe40122
2Tyson JostRoss JohnstonDerek Ryan30122
3Derek RyanPhillip Di GiuseppeTyson Jost20122
4Derek RyanTaylor WardTyson Jost10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonChase Priskie40122
2Adam BoqvistDillon Heatherington30122
3Dillon HeatheringtonChase Priskie20122
4Adam BoqvistChase Priskie10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostRoss JohnstonJoseph Blandisi60122
2Derek RyanTaylor WardPhillip Di Giuseppe40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieJohn Klingberg60122
2Adam BoqvistDillon Heatherington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor WardPhillip Di Giuseppe60122
2Derek RyanTyson Jost40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonAdam Boqvist60122
2Chase PriskieGustav Olofsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Derek Ryan60122Dillon HeatheringtonAdam Boqvist60122
2Tyson Jost40122Oliver KylingtonChase Priskie40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Phillip Di GiuseppeDerek Ryan60122
2Tyson JostTaylor Ward40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonChase Priskie60122
2Dillon HeatheringtonAdam Boqvist40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Derek RyanPhillip Di GiuseppeTyson JostDillon HeatheringtonChase Priskie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Derek RyanPhillip Di GiuseppeTyson JostDillon HeatheringtonChase Priskie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Derek Ryan, Tyson Jost, Taylor WardDerek Ryan, Tyson JostDerek Ryan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dillon Heatherington, Chase Priskie, Adam BoqvistDillon HeatheringtonChase Priskie, Dillon Heatherington
Tirs de pénalité
Taylor Ward, Phillip Di Giuseppe, Ross Johnston, Derek Ryan, Tyson Jost
Gardien
#1 : James Reimer, #2 : Marcus Hogberg


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
1Admirals522001001616020200000811-33200010085350.50016254100334853219325033839667113355410413430.77%12283.33%044594647.04%536111847.94%34671248.60%1395443149994622071122
2Americans51301000816-82110000035-230201000511-640.40081119003348532147250338396671213445888225.00%9277.78%044594647.04%536111847.94%34671248.60%1395443149994622071122
3Barracuda21000001211110000002021000000101-130.7502350133485321162503383966715611333133.33%30100.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
4Bears2020000026-41010000013-21010000013-200.0002240033485321302503383966743131630200.00%8362.50%044594647.04%536111847.94%34671248.60%1395443149994622071122
5Bruins201010001101010000001-11000100010120.50011201334853212125033839667114640100.00%30100.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
6Canucks30100020770100000104312010001034-140.66779160033485321362503383966761141769200.00%6183.33%044594647.04%536111847.94%34671248.60%1395443149994622071122
7Checkers531000101046330000007162010001033080.800101525023348532169250338396675913278413430.77%11190.91%044594647.04%536111847.94%34671248.60%1395443149994622071122
8Comets3020010017-62010010015-41010000002-210.1671120033485321232503383966738121054500.00%5180.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
9Condors4120000159-42020000038-52100000121130.3755914113348532150250338396677115437310220.00%9188.89%044594647.04%536111847.94%34671248.60%1395443149994622071122
10Crunch210001004311000010012-11100000031230.7504711003348532127250338396672592731300.00%6266.67%044594647.04%536111847.94%34671248.60%1395443149994622071122
11Eagles51101020853311010006512000002020280.8008917023348532159250338396675826221051317.69%6266.67%044594647.04%536111847.94%34671248.60%1395443149994622071122
12Griffins1000010012-11000010012-10000000000010.50012300334853219250338396671614192150.00%20100.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
13Gulls210001007521000010034-11100000041330.7507111800334853213225033839667231113313133.33%4250.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
14Heat61300200813-5311001006603020010027-540.33381220003348532169250338396671073039991119.09%12375.00%244594647.04%536111847.94%34671248.60%1395443149994622071122
15IceHogs211000001101010000001-11100000010120.500123013348532124250338396673296334125.00%30100.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
16Islanders20001010532100010003211000001021141.00056110033485321262503383966765213134400.00%8275.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
17Marlies21100000431110000004221010000001-120.5004610003348532130250338396671879413266.67%2150.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
18Monsters200011006601000010023-11000100043130.75069150033485321312503383966736923378225.00%440.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
19Penguins521011001192320001007522010100044070.70011182900334853216125033839667782314953266.67%7357.14%144594647.04%536111847.94%34671248.60%1395443149994622071122
20Phantoms2110000034-1110000002021010000014-320.50034701334853211525033839667251113454250.00%4175.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
21Reign20200000410-61010000046-21010000004-400.000461000334853212825033839667661912296350.00%6183.33%044594647.04%536111847.94%34671248.60%1395443149994622071122
22Roadrunners2020000038-51010000024-21010000014-300.00036900334853212325033839667481510413133.33%50100.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
23Rocket20101000330100010002111010000012-120.500347003348532124250338396672551036100.00%5180.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
24Senators2020000015-41010000013-21010000002-200.00012300334853211125033839667358728300.00%110.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
25Silver Knights21001000633100010003211100000031241.000671300334853211225033839667211320287342.86%5340.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
26Stars4120010069-32010010024-22110000045-130.3756121801334853216125033839667541715567228.57%5180.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
27Thunderbirds2010000147-31010000024-21000000123-110.250481200334853212925033839667732512406116.67%6183.33%044594647.04%536111847.94%34671248.60%1395443149994622071122
28Wild20200000511-61010000038-51010000023-100.0005813003348532132250338396678829183411100.00%9455.56%044594647.04%536111847.94%34671248.60%1395443149994622071122
29Wolf Pack21001000514100010001011100000041341.0005101501334853212125033839667114430100.00%20100.00%044594647.04%536111847.94%34671248.60%1395443149994622071122
30Wolves211000002111010000001-11100000020220.5002460133485321825033839667175627100.00%3166.67%044594647.04%536111847.94%34671248.60%1395443149994622071122
Total842135091063149179-304311180581084102-18411017042536577-12850.50614922937811233485321101725033839667145344354414941513724.50%1714474.27%344594647.04%536111847.94%34671248.60%1395443149994622071122
_Since Last GM Reset842135091063149179-304311180581084102-18411017042536577-12850.50614922937811233485321101725033839667145344354414941513724.50%1714474.27%344594647.04%536111847.94%34671248.60%1395443149994622071122
_Vs Conference5013220464193115-22261010024005860-224312022413555-20490.49093142235063348532164925033839667944290323910982626.53%1032377.67%344594647.04%536111847.94%34671248.60%1395443149994622071122
_Vs Division201113035303537-21186013001719-29370223018180390.9753554890333485321215250338396673139811735228621.43%411563.41%144594647.04%536111847.94%34671248.60%1395443149994622071122

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8485L1149229378101714534435441494112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
84213591063149179
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
431118581084102
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41101742536577
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1513724.50%1714474.27%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
2503383966733485321
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
44594647.04%536111847.94%34671248.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1395443149994622071122


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
18Checkers1Moose3WSommaire du match
224Condors5Moose2LSommaire du match
441Moose0Americans6LSommaire du match
554Moose2Stars5LSommaire du match
666Heat2Moose1LXSommaire du match
774Moose1Admirals2LXSommaire du match
990Moose0Heat2LSommaire du match
10112Penguins1Moose3WSommaire du match
11129Heat1Moose3WSommaire du match
12140Moose1Eagles0WXXSommaire du match
14162Eagles3Moose1LSommaire du match
16188Moose3Admirals1WSommaire du match
17199Admirals5Moose4LSommaire du match
18216Moose4Americans3WXSommaire du match
19229Comets3Moose0LSommaire du match
20250Moose4Gulls1WSommaire du match
22262Stars2Moose1LXSommaire du match
23274Moose4Admirals2WSommaire du match
24289Moose4Monsters3WXSommaire du match
26302Reign6Moose4LSommaire du match
27321Senators3Moose1LSommaire du match
28334Moose0Senators2LSommaire du match
29349Moose0Barracuda1LXXSommaire du match
30362Gulls4Moose3LXSommaire du match
31378Barracuda0Moose2WSommaire du match
33399Moose1Rocket2LSommaire du match
34414Marlies2Moose4WSommaire du match
35434Bruins1Moose0LSommaire du match
37449Moose4Wolf Pack1WSommaire du match
38467Wolf Pack0Moose1WXSommaire du match
39479Moose2Thunderbirds3LXXSommaire du match
40493Moose3Crunch1WSommaire du match
41511Checkers0Moose2WSommaire du match
42524Bears3Moose1LSommaire du match
43540Moose2Islanders1WXXSommaire du match
44554Moose1Roadrunners4LSommaire du match
45570Checkers0Moose2WSommaire du match
46582Moose2Condors0WSommaire du match
47598Monsters3Moose2LXSommaire du match
48616Rocket1Moose2WXSommaire du match
49629Moose0Reign4LSommaire du match
50644Moose1Bruins0WXSommaire du match
52663Canucks3Moose4WXXSommaire du match
53684Griffins2Moose1LXSommaire du match
54702Moose2Wild3LSommaire du match
56715Admirals6Moose4LSommaire du match
57723Moose1Eagles0WXXSommaire du match
58746Phantoms0Moose2WSommaire du match
60763Moose3Checkers2WXXSommaire du match
61778Comets2Moose1LXSommaire du match
63794Moose0Comets2LSommaire du match
64813Stars2Moose1LSommaire du match
65829Moose0Condors1LXXSommaire du match
67842Wolves1Moose0LSommaire du match
68851Moose2Wolves0WSommaire du match
69872Americans1Moose3WSommaire du match
70888Moose1Americans2LSommaire du match
72902Condors3Moose1LSommaire du match
74926Moose1Penguins2LSommaire du match
75938Islanders2Moose3WXSommaire du match
76954Moose1Heat3LSommaire du match
78969IceHogs1Moose0LSommaire du match
79985Moose1Heat2LXSommaire du match
811000Thunderbirds4Moose2LSommaire du match
821019Moose1Bears3LSommaire du match
831029Heat3Moose2LSommaire du match
851055Crunch2Moose1LXSommaire du match
861059Moose0Marlies1LSommaire du match
871074Moose1IceHogs0WSommaire du match
881089Americans4Moose0LSommaire du match
901109Moose1Canucks3LSommaire du match
911121Moose2Stars0WSommaire du match
921135Penguins2Moose3WSommaire du match
931151Moose0Checkers1LSommaire du match
941162Roadrunners4Moose2LSommaire du match
951176Moose2Canucks1WXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971189Penguins2Moose1LXSommaire du match
981212Moose3Silver Knights1WSommaire du match
991218Wild8Moose3LSommaire du match
1021247Silver Knights2Moose3WXSommaire du match
1041271Eagles1Moose3WSommaire du match
1051277Moose3Penguins2WXSommaire du match
1071303Eagles1Moose2WXSommaire du match
1081307Moose1Phantoms4LSommaire du match
1091313Moose-Griffins-
1101323Moose-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance81,73341,888
Assistance PCT95.04%97.41%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2875 - 95.83% 85,318$3,668,684$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,991,309$ 4,569,633$ 4,569,633$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
40,800$ 4,219,865$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 4 47,943$ 191,772$




Moose 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

Moose 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

Moose 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

Moose 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

Moose 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