hellpepitosKingspatriots

 

 


Diabotins

GP: 4 | W: 0 | L: 4 | OTL: 0 | P: 0
GF: 3 | GA: 10 | PP%: 15.38% | PK%: 90.00%
DG: Louis-Philippe Parent | Morale : 50 | Moyenne d'Équipe : 67
Prochain matchs #36 vs Benchwarmers
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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
1Dale Weise0X100.00814360468251756440768057536962050680
2Tage Thompson0XX100.00682263407556806643757953743638050660
3Victor Ejdsell0X100.00321983648162835631647168683940050610
4Eric Robinson0X100.00542282666654825831667262673140050610
5Jakob Chychrun0X100.00652864427171608528847662703548050720
6Jake Dotchin0X100.00874436488253777930817543654757050690
7Christian Jaros0X100.00832861486852718030817550664145050680
8Oliver Kylington (R)0X100.00461865474843768130817734664337050660
9Blake Hillman0X100.00362283605865836731726960683337050650
10Daniel Brickley0X100.00402282587045836731727354683036050620
Rayé
MOYENNE D'ÉQUIPE100.0059276852705577703375755467404405066
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
1Alexandar Georgiev100.0094948681929292939087803653050830
Rayé
MOYENNE D'ÉQUIPE100.009494868192929293908780365305083
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'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
1Christian JarosDiabotins (HEL)D4213-2202314136415.38%49624.1711239000160040.00%1523000.6200000100
2Tage ThompsonDiabotins (HEL)C/RW4112-42010511279.09%18822.25112211000270027.12%5932000.4500000000
3Dale WeiseDiabotins (HEL)RW4011-46016312880.00%48922.27011212000160033.33%1554000.2200000000
4Eric RobinsonDiabotins (HEL)LW4011-2202128260.00%18721.93000312000060057.14%741000.2300000000
5Oliver KylingtonDiabotins (HEL)D4011-2403110090.00%18621.6301118000140020.00%561000.2300000000
6Daniel BrickleyDiabotins (HEL)D4000-400473210.00%57418.580001500004000.00%202000.0000000000
7Blake HillmanDiabotins (HEL)D4000-1002144120.00%28020.1400008000020057.14%710000.0000000000
8Victor EjdsellDiabotins (HEL)C40000002148670.00%58521.3900009000080041.54%6522000.0000000000
9Jake DotchinDiabotins (HEL)D4000-4002349610.00%59924.8000021100018000.00%020000.0000000000
10Jakob ChychrunDiabotins (HEL)D4000-640141110230.00%910927.2700001100007000.00%056000.0000000000
Stats d'équipe Total ou en Moyenne40358-2920099858835483.41%3789722.4424614990006620036.00%1753021000.1800000100
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
1Alexandar GeorgievDiabotins (HEL)40400.9222.2723800911558010.000040000
Stats d'équipe Total ou en Moyenne40400.9222.2723800911558010.000040000


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
Alexandar GeorgievDiabotins (HEL)G231996-02-10No179 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Blake HillmanDiabotins (HEL)D231996-01-26No193 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Christian JarosDiabotins (HEL)D231996-04-02No201 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm801,667$0$0$NoLien
Dale WeiseDiabotins (HEL)RW311988-08-05No206 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Daniel BrickleyDiabotins (HEL)D241995-03-30No203 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Eric RobinsonDiabotins (HEL)LW241995-06-14No200 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Jake DotchinDiabotins (HEL)D251994-03-24No210 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Jakob ChychrunDiabotins (HEL)D211998-03-31No210 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,350,000$0$0$NoLien / Lien NHL
Oliver KylingtonDiabotins (HEL)D221997-05-19Yes183 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm863,333$0$0$NoLien
Tage ThompsonDiabotins (HEL)C/RW211997-10-30No205 Lbs198 CMNoNoNo1Contrat d'EntréePro & Farm1,137,500$0$0$NoLien
Victor EjdsellDiabotins (HEL)C241995-06-06No214 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1123.73200 Lbs191 CM1.27968,409$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Eric RobinsonTage ThompsonDale Weise40122
2Dale WeiseVictor EjdsellTage Thompson30122
3Eric RobinsonVictor EjdsellJake Dotchin20122
4Christian JarosOliver Kylington10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakob ChychrunJake Dotchin40122
2Christian Jaros30122
3Oliver KylingtonBlake Hillman20122
4Daniel BrickleyJakob Chychrun10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Eric RobinsonTage ThompsonDale Weise60122
2Dale WeiseVictor EjdsellTage Thompson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakob ChychrunJake Dotchin60122
2Christian Jaros40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dale WeiseTage Thompson60122
2Victor EjdsellEric Robinson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakob ChychrunJake Dotchin60122
2Christian Jaros40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dale Weise60122Jakob ChychrunJake Dotchin60122
2Tage Thompson40122Christian Jaros40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dale WeiseTage Thompson60122
2Victor EjdsellEric Robinson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jakob ChychrunJake Dotchin60122
2Christian Jaros40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Eric RobinsonTage ThompsonDale WeiseJakob ChychrunJake Dotchin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Eric RobinsonTage ThompsonDale WeiseJakob ChychrunJake Dotchin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Victor Ejdsell, Eric Robinson, Dale WeiseVictor Ejdsell, Eric RobinsonDale Weise
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Blake Hillman, Daniel Brickley, Oliver KylingtonBlake HillmanDaniel Brickley, Oliver Kylington
Tirs de Pénalité
Dale Weise, Tage Thompson, Victor Ejdsell, Eric Robinson,
Gardien
#1 : Alexandar Georgiev, #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
1Barracuda1010000012-1000000000001010000012-100.00012300201025204226026166232150.00%3166.67%0216731.34%328139.51%113630.56%753997366733
2Pirates2020000025-32020000025-30000000000000.0002351020104720422605415105610110.00%50100.00%0216731.34%328139.51%113630.56%753997366733
3Royaux1010000003-3000000000001010000003-300.000000002010162042260367425100.00%20100.00%0216731.34%328139.51%113630.56%753997366733
Total40400000310-72020000025-32020000015-400.000358102010882042260116382010413215.38%10190.00%0216731.34%328139.51%113630.56%753997366733
_Since Last GM Reset40400000310-72020000025-32020000015-400.000358102010882042260116382010413215.38%10190.00%0216731.34%328139.51%113630.56%753997366733
_Vs Conference2020000025-32020000025-30000000000000.0002351020104720422605415105610110.00%50100.00%0216731.34%328139.51%113630.56%753997366733
_Vs Division2020000025-32020000025-30000000000000.0002351020104720422605415105610110.00%50100.00%0216731.34%328139.51%113630.56%753997366733

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L435888116382010410
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4040000310
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000025
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000015
Derniers 10 Matchs
WLOTWOTL SOWSOL
040000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
13215.38%10190.00%0
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
20422602010
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
216731.34%328139.51%113630.56%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
753997366733


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 - 2019-10-086Pirates3Diabotins1LSommaire du Match
3 - 2019-10-0913Diabotins1Barracuda2LSommaire du Match
6 - 2019-10-1222Diabotins0Royaux3LSommaire du Match
7 - 2019-10-1327Pirates2Diabotins1LSommaire du Match
9 - 2019-10-1536Diabotins-Benchwarmers-
11 - 2019-10-1744Barracuda-Diabotins-
13 - 2019-10-1951Pirates-Diabotins-
16 - 2019-10-2261Hooligans-Diabotins-
17 - 2019-10-2366Diabotins-Werewolves-
20 - 2019-10-2677Hooligans-Diabotins-
22 - 2019-10-2886Diabotins-Royaux-
23 - 2019-10-2992Casse-Tete-Diabotins-
28 - 2019-11-03106Werewolves-Diabotins-
29 - 2019-11-04112Diabotins-Vagabond-
31 - 2019-11-06121Diabotins-Caribou-
32 - 2019-11-07124Requins-Diabotins-
34 - 2019-11-09136Benchwarmers-Diabotins-
36 - 2019-11-11145Diabotins-Barracuda-
37 - 2019-11-12150Diabotins-Caribou-
39 - 2019-11-14154Hooligans-Diabotins-
41 - 2019-11-16165Vagabond-Diabotins-
43 - 2019-11-18174Diabotins-Barracuda-
44 - 2019-11-19180Vagabond-Diabotins-
47 - 2019-11-22189Diabotins-Benchwarmers-
48 - 2019-11-23193Diabotins-Werewolves-
50 - 2019-11-25200Hooligans-Diabotins-
52 - 2019-11-27207Diabotins-Jardiniers-
53 - 2019-11-28213Hybrides-Diabotins-
56 - 2019-12-01223Diabotins-Hooligans-
57 - 2019-12-02229Royaux-Diabotins-
59 - 2019-12-04238Diabotins-Hooligans-
61 - 2019-12-06241Diabotins-Chevalier-
62 - 2019-12-07247Caribou-Diabotins-
64 - 2019-12-09259Hooligans-Diabotins-
65 - 2019-12-10263Diabotins-Hybrides-
67 - 2019-12-12273Leftovers-Diabotins-
69 - 2019-12-14279Diabotins-Royaux-
71 - 2019-12-16287Diabotins-Requins-
72 - 2019-12-17293Royaux-Diabotins-
74 - 2019-12-19302Werewolves-Diabotins-
76 - 2019-12-21309Diabotins-Werewolves-
78 - 2019-12-23316Diabotins-Chevalier-
79 - 2019-12-24320Diabotins-Pirates-
81 - 2019-12-26327Benchwarmers-Diabotins-
83 - 2019-12-28334Diabotins-Casse-Tete-
85 - 2019-12-30341Barracuda-Diabotins-
87 - 2020-01-01349Diabotins-Chevalier-
89 - 2020-01-03357Chevalier-Diabotins-
90 - 2020-01-04364Diabotins-Requins-
92 - 2020-01-06372Chevalier-Diabotins-
95 - 2020-01-09381Diabotins-Benchwarmers-
96 - 2020-01-10386Barracuda-Diabotins-
98 - 2020-01-12395Jardiniers-Diabotins-
102 - 2020-01-16409Leftovers-Diabotins-
104 - 2020-01-18416Diabotins-Vagabond-
106 - 2020-01-20422Requins-Diabotins-
108 - 2020-01-22435Pirates-Diabotins-
110 - 2020-01-24441Diabotins-Werewolves-
113 - 2020-01-27451Requins-Diabotins-
115 - 2020-01-29457Diabotins-Casse-Tete-
116 - 2020-01-30465Caribou-Diabotins-
118 - 2020-02-01474Diabotins-Hybrides-
119 - 2020-02-02477Diabotins-Leftovers-
121 - 2020-02-04485Werewolves-Diabotins-
123 - 2020-02-06495Pirates-Diabotins-
125 - 2020-02-08501Diabotins-Requins-
127 - 2020-02-10505Diabotins-Leftovers-
129 - 2020-02-12511Diabotins-Caribou-
131 - 2020-02-14517Chevalier-Diabotins-
134 - 2020-02-17528Barracuda-Diabotins-
135 - 2020-02-18535Diabotins-Leftovers-
138 - 2020-02-21543Diabotins-Barracuda-
139 - 2020-02-22548Royaux-Diabotins-
141 - 2020-02-24555Diabotins-Royaux-
142 - 2020-02-25563Jardiniers-Diabotins-
144 - 2020-02-27569Diabotins-Jardiniers-
146 - 2020-02-29578Casse-Tete-Diabotins-
148 - 2020-03-02585Diabotins-Jardiniers-
149 - 2020-03-03590Benchwarmers-Diabotins-
150 - 2020-03-04593Diabotins-Vagabond-
152 - 2020-03-06598Diabotins-Pirates-
155 - 2020-03-09609Pirates-Diabotins-
160 - 2020-03-14622Hybrides-Diabotins-
161 - 2020-03-15627Diabotins-Vagabond-



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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
52,679$ 1,065,250$ 751,834$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
6,535$ 52,679$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 155 6,535$ 1,012,925$




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
Saison Régulière
20168456180033437426910542327001202021426042241100214172127451123746771051351391101226272695284190850238986683915692777828.16%2794284.95%131068178060.00%952159759.61%652123752.71%2138148717366241202610
2016841841062611241311-70421114042561501419427270201591170-7936241362603118271761820856916366921292854105426115832645018.94%1291786.82%2512136637.48%503165830.34%374111233.63%1633101522676631245591
2017842439073653042455942161405313169104654282502052135141-648304530834231121017818256282685183191231275771418812814415.66%3486780.75%141029172959.51%997159862.39%701112562.31%2049133717766711298660
201784165205506136447-311429220440377232-155427300110359215-156321362423782432485111180555558263558248593351614742824214.89%2624084.73%7698136651.10%820158051.90%526117244.88%170298520017211391691
2018823930053143992221774124802313214100114411522030011851226378399713111212159126108729141069936887352830101381416532927023.97%3967182.07%19959178653.70%1046195453.53%627117253.50%1898122418176591238627
201882185103325305322-1741102301214164150144182802111141172-3136305523828247711910492352773753790623198112946514932886121.18%2265476.11%8758151550.03%855185246.17%631123251.22%1651101520696741248606
201940400000310-72020000025-32020000015-40358102010882042260116382010413215.38%10190.00%0216731.34%328139.51%113630.56%753997366733
Total Saison Régulière50417123502619183517621826-6425210290016151019978874104252691450104816784952-1683421762305248141219603575540691453248864641476942516184579036299757169734720.45%165029282.30%635045960952.50%52051032050.44%3522708649.70%11149710611767405076913821
Séries
2016954000001918153200000101004220000098110193251009361293113701064247941141932328.70%43783.72%212118665.05%13519369.95%7510273.53%2451711776712565
201640400000322-192020000037-420200000015-15033600030077292123416958146410220.00%7442.86%0166425.00%2510424.04%94918.37%6739128325725
2017514000001119-82110000076130300000413-92111829004250191654776317473569311327.27%29968.97%17710573.33%8212864.06%446765.67%12484111376734
201894500000373345320000023176413000001416-283765102001211140387149100133527810510117033824.24%46686.96%513821464.49%11817866.29%8412666.67%2411681826512666
Total Séries271017000007092-221477000004340313310000002752-25207011818800251925194835623833816868330285520771519.48%1252679.20%835256961.86%36060359.70%21234461.63%679463600202377191