Moose

GP: 63 | W: 27 | L: 32 | OTL: 4 | P: 58
GF: 380 | GA: 403 | PP%: 48.08% | PK%: 48.71%
DG: Fred Joanis | Morale : 42 | Moyenne d'Équipe : 65
Prochain matchs #763 vs Reigh
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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 SP
1Brock McGinnXX100.007742797774819679675466717056557065700
2Stefan NoesenX100.007243767875818970665664717054527959680
3Janne KuokkanenX100.005741756070609361676358595850507659660
4Remi ElieX100.007142807476749471595057636653527557640
5Tage ThompsonX100.006241806889768972455256606551518058630
6Filip ChytilX99.006041787576687775664555606150508458620
7Owen TippettX100.005540828176724178504052606450508821610
8Noah Juulsen (R)X99.005741817175596975304752795950528038670
Rayé
1Brendan LeipsicXX100.006241818361807978706056616552516232660
MOYENNE D'ÉQUIPE99.78644179747572817358525765645251775065
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 SP
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Wilson68696470898070can611500,000$


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'ÉquipePOS GP 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
1Brock McGinnMoose (WPG)LW/RW627280152-215020938640510824717.78%49140722.7138417984200101111734263.44%5478058072.16002021267
2Stefan NoesenMoose (WPG)RW626174135-175410614029410617620.75%55138122.2931366763202011101675061.16%1217360081.9511002764
3Janne KuokkanenMoose (WPG)C612189110-26515657698266421.43%38121219.88105565211942136624166.95%16281549001.8100001147
4Remi ElieMoose (WPG)LW63405999124050492999718813.38%33116018.4247117420004573359.12%1816940021.7100000574
5Brendan LeipsicMoose (WPG)LW/RW59385492-16341067512657915814.34%40113019.16182240301443256742062.82%789448021.6300011253
6Tage ThompsonMoose (WPG)C63354479-1729556702226312015.77%33115818.39182038351560009723153.35%7912525011.3600001324
7Filip ChytilMoose (WPG)C63334477429535483391181959.73%29105716.782466240000190166.87%3356034031.4600001444
8Noah JuulsenMoose (WPG)D4754449-22240254311650514.31%75128927.4441822191660001124010.00%01385000.7600000000
9Owen TippettMoose (WPG)RW46241741-12803428117274620.51%2069215.051091920111000042065.52%293213011.1800000210
Stats d'équipe Total ou en Moyenne526329505834-126303554864912155674124515.27%3721049119.95135212347285124364104775623962.86%37104614120241.5911218363533
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Brendan LeipsicMoose (WPG)LW/RW231994-05-19No180 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Brock McGinnMoose (WPG)LW/RW231994-02-02No185 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm887,500$0$0$NoLien
Filip ChytilMoose (WPG)C181999-09-05No202 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Janne KuokkanenMoose (WPG)C191998-05-25No188 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm842,500$0$0$NoLien
Noah JuulsenMoose (WPG)D201997-04-02Yes175 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Owen TippettMoose (WPG)RW181999-02-16No200 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Remi ElieMoose (WPG)LW221995-04-16No210 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Stefan NoesenMoose (WPG)RW241993-02-12No205 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm1,725,000$0$0$NoLien
Tage ThompsonMoose (WPG)C191997-10-30No205 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
920.67194 Lbs6 ft11.44942,222$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock McGinnJanne KuokkanenStefan Noesen40122
2Remi ElieTage ThompsonOwen Tippett30122
3Filip Chytil20122
4Stefan NoesenBrock McGinnJanne Kuokkanen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah Juulsen40122
230122
320122
4Noah JuulsenRemi Elie10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock McGinnJanne KuokkanenStefan Noesen60122
2Remi ElieTage ThompsonOwen Tippett40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah Juulsen60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brock McGinnStefan Noesen60122
2Janne KuokkanenRemi Elie40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah Juulsen60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brock McGinn60122Noah Juulsen60122
2Stefan Noesen4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brock McGinnStefan Noesen60122
2Janne KuokkanenRemi Elie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah Juulsen60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock McGinnJanne KuokkanenStefan NoesenNoah Juulsen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock McGinnJanne KuokkanenStefan NoesenNoah Juulsen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Filip Chytil, Tage Thompson, Owen TippettFilip Chytil, Tage ThompsonOwen Tippett
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Noah Juulsen, , Noah Juulsen,
Tirs de Pénalité
Brock McGinn, Stefan Noesen, Janne Kuokkanen, Remi Elie, Tage Thompson
Gardien
#1 : , #2 :


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
LigueDomicileVisiteur
# 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
1Admirals413000001624-81010000038-5312000001316-320.25016254100741511550157779825830318170363420525.00%18855.56%1793129161.43%650107160.69%929142565.19%138582213674971038574
2Bears2200000017107110000009451100000086241.000172946007415115506077982583036921162199100.00%8275.00%1793129161.43%650107160.69%929142565.19%138582213674971038574
3Blacknight220000002191211000000115611000000104641.0002133540074151155083779825830353182124121083.33%8362.50%0793129161.43%650107160.69%929142565.19%138582213674971038574
4Bruins2200000017134110000008621100000097241.000172744007415115507977982583036017192411654.55%8450.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
5Condors404000001831-1320200000917-820200000914-500.000183048007415115501597798258303167564645201050.00%231247.83%0793129161.43%650107160.69%929142565.19%138582213674971038574
6Crunch2200000017611110000009361100000083541.000172643007415115508277982583035818103111763.64%50100.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
7Devils211000001817111000000126610100000611-520.5001833510074151155097779825830310528262511545.45%880.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
8Gulls4210010028208210001001311221100000159650.62528457300741511550197779825830312037255318738.89%10550.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
9Heat1100000010551100000010550000000000021.000101525007415115504077982583032474104375.00%2150.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
10Icedogs640002004032832000100191453200010021183100.8334066106007415115502347798258303164365674291655.17%26965.38%0793129161.43%650107160.69%929142565.19%138582213674971038574
11Marlies20200000419-151010000007-710100000412-800.000461000741511550557798258303581737156350.00%17947.06%0793129161.43%650107160.69%929142565.19%138582213674971038574
12Monsters2200000018991100000011561100000074341.000182745007415115506677982583034512102610770.00%5180.00%2793129161.43%650107160.69%929142565.19%138582213674971038574
13Penguins21100000712-51010000019-81100000063320.50071118007415115506077982583039528202110440.00%10640.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
14Phantoms2110000014140110000008711010000067-120.50014233700741511550100779825830381318185480.00%440.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
15Rampages504001002234-12302001001320-720200000914-510.10022386000741511550197779825830317746436328828.57%191142.11%0793129161.43%650107160.69%929142565.19%138582213674971038574
16Reigh21100000981211000009810000000000020.5009122100741511550867798258303512112238225.00%6350.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
17Rocket2110000015114110000009451010000067-120.500152136007415115506777982583037626272512650.00%11645.45%1793129161.43%650107160.69%929142565.19%138582213674971038574
18Senateurs20200000817-910100000612-61010000025-300.00081119007415115506577982583031052320208450.00%10820.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
19Sound Tigers202000001216-41010000079-21010000057-200.00012223400741511550797798258303803220258675.00%10730.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
20Stars505000001551-3620200000720-1330300000831-2300.000152742007415115501637798258303247101776432928.13%312229.03%0793129161.43%650107160.69%929142565.19%138582213674971038574
21Thunderbird22000000181171100000075211000000116541.000182947007415115509377982583035924202015960.00%10370.00%0793129161.43%650107160.69%929142565.19%138582213674971038574
Total63273200400380403-2332161300300206201531111900100174202-28580.46038062110010074151155024377798258303227873659773031215048.08%27113948.71%6793129161.43%650107160.69%929142565.19%138582213674971038574
23Wolves62400000363423210000025169303000001118-740.3333665101007415115502187798258303203674469251040.00%22768.18%1793129161.43%650107160.69%929142565.19%138582213674971038574
_Since Last GM Reset63273200400380403-2332161300300206201531111900100174202-28580.46038062110010074151155024377798258303227873659773031215048.08%27113948.71%6793129161.43%650107160.69%929142565.19%138582213674971038574
_Vs Conference39132200400215248-33208900300119124-5195130010096124-28300.385215356571007415115501534779825830313874593644591968040.82%1658150.91%2793129161.43%650107160.69%929142565.19%138582213674971038574
_Vs Division2671600300129175-461246002006778-1114310001006297-35170.3271292213500074151155096977982583039723202563041344835.82%1165750.86%2793129161.43%650107160.69%929142565.19%138582213674971038574

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6358W238062110012437227873659773000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6327320400380403
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3216130300206201
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3111190100174202
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
31215048.08%27113948.71%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
7798258303741511550
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
793129161.43%650107160.69%929142565.19%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
138582213674971038574


Derniers Match 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
2 - 2018-10-104Moose7Icedogs8LXSommaire du Match
4 - 2018-10-1215Wolves8Moose7LSommaire du Match
6 - 2018-10-1423Moose4Wolves5LSommaire du Match
12 - 2018-10-2041Rampages5Moose4LXSommaire du Match
14 - 2018-10-2245Moose4Rampages8LSommaire du Match
16 - 2018-10-2451Moose6Admirals3WSommaire du Match
19 - 2018-10-2764Moose2Stars12LSommaire du Match
20 - 2018-10-2871Wolves3Moose10WSommaire du Match
24 - 2018-11-0191Stars9Moose4LSommaire du Match
26 - 2018-11-03100Moose6Icedogs5WSommaire du Match
29 - 2018-11-06117Admirals8Moose3LSommaire du Match
32 - 2018-11-09135Icedogs5Moose8WSommaire du Match
33 - 2018-11-10140Moose3Wolves5LSommaire du Match
36 - 2018-11-13150Moose5Gulls6LSommaire du Match
39 - 2018-11-16163Gulls8Moose7LXSommaire du Match
41 - 2018-11-18177Moose3Condors7LSommaire du Match
44 - 2018-11-21188Stars11Moose3LSommaire du Match
49 - 2018-11-26204Moose8Icedogs5WSommaire du Match
51 - 2018-11-28212Penguins9Moose1LSommaire du Match
55 - 2018-12-02229Phantoms7Moose8WSommaire du Match
57 - 2018-12-04236Moose10Blacknight4WSommaire du Match
63 - 2018-12-10255Icedogs4Moose7WSommaire du Match
67 - 2018-12-14268Moose10Gulls3WSommaire du Match
69 - 2018-12-16276Moose5Sound Tigers7LSommaire du Match
70 - 2018-12-17284Icedogs5Moose4LXSommaire du Match
74 - 2018-12-21303Rampages5Moose3LSommaire du Match
76 - 2018-12-23313Moose8Crunch3WSommaire du Match
79 - 2018-12-26325Senateurs12Moose6LSommaire du Match
81 - 2018-12-28337Moose11Thunderbird6WSommaire du Match
83 - 2018-12-30343Moose2Admirals6LSommaire du Match
85 - 2019-01-01353Rampages10Moose6LSommaire du Match
87 - 2019-01-03364Moose4Marlies12LSommaire du Match
89 - 2019-01-05374Moose4Wolves8LSommaire du Match
90 - 2019-01-06381Devils6Moose12WSommaire du Match
95 - 2019-01-11400Condors8Moose5LSommaire du Match
99 - 2019-01-15417Moose7Monsters4WSommaire du Match
101 - 2019-01-17424Rocket4Moose9WSommaire du Match
106 - 2019-01-22444Bears4Moose9WSommaire du Match
109 - 2019-01-25456Moose6Devils11LSommaire du Match
111 - 2019-01-27470Crunch3Moose9WSommaire du Match
114 - 2019-01-30478Moose6Rocket7LSommaire du Match
117 - 2019-02-02493Marlies7Moose0LSommaire du Match
121 - 2019-02-06510Moose9Bruins7WSommaire du Match
124 - 2019-02-09516Moose2Senateurs5LSommaire du Match
126 - 2019-02-11522Monsters5Moose11WSommaire du Match
129 - 2019-02-14534Moose2Stars11LSommaire du Match
130 - 2019-02-15544Sound Tigers9Moose7LSommaire du Match
134 - 2019-02-19566Thunderbird5Moose7WSommaire du Match
136 - 2019-02-21574Moose6Phantoms7LSommaire du Match
138 - 2019-02-23583Moose5Admirals7LSommaire du Match
140 - 2019-02-25587Moose4Stars8LSommaire du Match
141 - 2019-02-26597Reigh2Moose5WSommaire du Match
146 - 2019-03-03612Moose6Condors7LSommaire du Match
147 - 2019-03-04622Heat5Moose10WSommaire du Match
151 - 2019-03-08640Gulls3Moose6WSommaire du Match
155 - 2019-03-12662Blacknight5Moose11WSommaire du Match
161 - 2019-03-18683Condors9Moose4LSommaire du Match
163 - 2019-03-20694Moose5Rampages6LSommaire du Match
165 - 2019-03-22707Bruins6Moose8WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24715Moose8Bears6WSommaire du Match
170 - 2019-03-27728Reigh6Moose4LSommaire du Match
172 - 2019-03-29735Moose6Penguins3WSommaire du Match
178 - 2019-04-04754Wolves5Moose8WSommaire du Match
181 - 2019-04-07763Moose-Reigh-
184 - 2019-04-10776Wolves-Moose-
186 - 2019-04-12786Moose-Blacknight-
188 - 2019-04-14797Moose-Barracuda-
191 - 2019-04-17805Stars-Moose-
196 - 2019-04-22827Gulls-Moose-
199 - 2019-04-25836Moose-Icedogs-
201 - 2019-04-27848Blacknight-Moose-
205 - 2019-05-01862Moose-Reigh-
207 - 2019-05-03873Moose-Barracuda-
209 - 2019-05-05878Barracuda-Moose-
212 - 2019-05-08888Moose-Rampages-
215 - 2019-05-11903Heat-Moose-
218 - 2019-05-14916Moose-Heat-
220 - 2019-05-16925Admirals-Moose-
225 - 2019-05-21946Admirals-Moose-
229 - 2019-05-25959Moose-Wolves-
232 - 2019-05-28966Barracuda-Moose-
233 - 2019-05-29972Moose-Heat-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,017,570$ 848,000$ 848,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 637,782$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 5,688$ 324,216$




LigueDomicileVisiteur
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
263273200400380403-2332161300300206201531111900100174202-285838062110010074151155024377798258303227873659773031215048.08%27113948.71%6793129161.43%650107160.69%929142565.19%138582213674971038574
Total Saison Régulière63273200400380403-2332161300300206201531111900100174202-285838062110010074151155024377798258303227873659773031215048.08%27113948.71%6793129161.43%650107160.69%929142565.19%138582213674971038574