Connecticut Whale

GP: 61 | W: 7 | L: 51 | OTL: 3 | P: 17
GF: 132 | GA: 331 | PP%: 10.53% | PK%: 74.79%
DG: Sach Verville | Morale : 20 | Moyenne d'Équipe : N/A
Prochain matchs #962 vs Syracuse Crunch
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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
1Mark Olver (R)X100.0059626864625962567055506150535316400
2Cody BassX100.0052735669735660546850545851535416800
3Kenney MorrisonX100.0061786263786066502550506250505016500
4Zach LeslieX100.0055656666656166502554505950505016500
5Vincent LoVerdeX100.0056735760736768572560506150505016500
6Viktor LoovX100.0054696066696267502550505750505016500
Rayé
MOYENNE D'ÉQUIPE100.005670626570616553405351605051511650
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
Paul MacLean89697083968081CAN5823,800,000$


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
1Mark OlverConnecticut Whale (NYR)C36347132610813270011.11%342711.8700000000001064.56%7900000.3300011010
2Cody BassConnecticut Whale (NYR)C36257-1001210140014.29%1972.711344140001190055.81%4300001.4400000000
3Steve OleksyNew York RangersD1022300113000.00%02222.480001300002000.00%000001.7800000000
Stats d'équipe Total ou en Moyenne73511161526102124440011.36%45477.501345180001221061.48%12200000.5800011010
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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Cody BassConnecticut Whale (NYR)C301987-01-06No203 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Kenney MorrisonConnecticut Whale (NYR)D241992-02-12No210 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Mark OlverConnecticut Whale (NYR)C291987-12-31Yes170 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Viktor LoovConnecticut Whale (NYR)D241992-11-16No187 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Vincent LoVerdeConnecticut Whale (NYR)D271989-04-13No205 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Zach LeslieConnecticut Whale (NYR)D221994-01-30No175 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
626.00192 Lbs6 ft02.50366,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
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
1Abbotsford Heat20200000513-81010000027-51010000036-300.0005101500564034243428493503151263114379222.22%70100.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
2Adirondack Phantoms30300000323-201010000017-620200000216-1400.00035800564034253428493503151714822461500.00%10550.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
3Albany Devils20200000118-1720200000118-170000000000000.0001230056403422442849350315111301633500.00%8275.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
4Binghampton Senateurs40400000421-172020000039-620200000112-1100.000481200564034278428493503151415242611616.25%22863.64%0400140328.51%656212530.87%28296229.31%8675642147464655252
5Bridgeport Sound Tigers30300000422-1820200000411-710100000011-1100.0004812005640342474284935031513752225313215.38%11281.82%0400140328.51%656212530.87%28296229.31%8675642147464655252
6Charlotte Checkers1010000026-4000000000001010000026-400.000246005640342194284935031568191829300.00%9188.89%0400140328.51%656212530.87%28296229.31%8675642147464655252
7Chicago Wolves2020000057-21010000023-11010000034-100.0005101500564034243428493503156120202618211.11%30100.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
8Grand Rapids Griffins21001000752100010003211100000043141.00071320005640342714284935031565251049500.00%5180.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
9Hamilton Bulldogs2020000026-41010000023-11010000003-300.0002460056403423642849350315912726341516.67%120100.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
10Hershey Bears30200001511-62010000148-41010000013-210.16751015005640342714284935031513349244017211.76%11190.91%0400140328.51%656212530.87%28296229.31%8675642147464655252
11Houston Aeros2100100012102110000006511000100065141.000122436005640342724284935031510035164610220.00%80100.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
12Lake Erie Monsters1000010056-11000010056-10000000000010.50051015005640342544284935031553146363133.33%2150.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
13Manchester Monarchs2200000014410110000008261100000062441.00014274100564034210142849350315952616489333.33%7357.14%1400140328.51%656212530.87%28296229.31%8675642147464655252
14Milwaukee Admirals1010000015-41010000015-40000000000000.00012300564034219428493503154410412500.00%20100.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
15Norfolk Admirals20200000811-31010000035-21010000056-100.0008152300564034211342849350315111321660400.00%8275.00%1400140328.51%656212530.87%28296229.31%8675642147464655252
16Oklahoma City Barons20200000414-101010000028-61010000026-400.000481200564034241428493503157933122211218.18%5340.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
17Peoria Rivermen20200000213-111010000026-41010000007-700.000246005640342404284935031592261442600.00%7185.71%0400140328.51%656212530.87%28296229.31%8675642147464655252
18Portland Pirates20200000415-111010000049-51010000006-600.00047110056403423842849350315882926326116.67%7185.71%0400140328.51%656212530.87%28296229.31%8675642147464655252
19Providence Bruins40400000523-1820200000210-820200000313-1000.0005101500564034271428493503151864432533000.00%15753.33%0400140328.51%656212530.87%28296229.31%8675642147464655252
20Rochester Americans20200000411-71010000026-41010000025-300.0004711005640342304284935031595262829300.00%14564.29%0400140328.51%656212530.87%28296229.31%8675642147464655252
21Rockford IceHogs20200000310-71010000013-21010000027-500.0003690056403424342849350315763120281715.88%9366.67%0400140328.51%656212530.87%28296229.31%8675642147464655252
22Springfield Falcons30300000716-92020000069-31010000017-600.00071421005640342614284935031512634274115426.67%80100.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
23St-John Ice Caps30300000616-101010000037-42020000039-600.0006121800564034260428493503151313724431100.00%12466.67%0400140328.51%656212530.87%28296229.31%8675642147464655252
24Syracuse Crunch20100100510-51000010034-11010000026-410.250510150056403423542849350315891714261218.33%6183.33%0400140328.51%656212530.87%28296229.31%8675642147464655252
25Texas Stars1010000006-61010000006-60000000000000.00000000564034214428493503153814814100.00%40100.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
26Toronto Marlies21100000101001010000046-21100000064220.5001020300056403428942849350315842520526350.00%9455.56%0400140328.51%656212530.87%28296229.31%8675642147464655252
Total6155102201132331-199322260120175171-96293250100057160-103170.139132258390005640342143642849350315276583353810532853010.53%2386074.79%2400140328.51%656212530.87%28296229.31%8675642147464655252
28Wilkes-Barre Penguins1010000014-3000000000001010000014-300.00012300564034215428493503154591115500.00%2150.00%0400140328.51%656212530.87%28296229.31%8675642147464655252
29Worchester Sharks30300000315-121010000016-52020000029-700.000369005640342554284935031512938304615213.33%15473.33%0400140328.51%656212530.87%28296229.31%8675642147464655252
_Since Last GM Reset6155102201132331-199322260120175171-96293250100057160-103170.139132258390005640342143642849350315276583353810532853010.53%2386074.79%2400140328.51%656212530.87%28296229.31%8675642147464655252
_Vs Conference372330010170209-139191160010143105-62181170000027104-7760.08170136206005640342822428493503151693497322597173169.25%1424171.13%2400140328.51%656212530.87%28296229.31%8675642147464655252
_Vs Division18011000003786-49907000001940-21904000001846-2800.0003772109005640342410428493503157512161723048766.90%832668.67%0400140328.51%656212530.87%28296229.31%8675642147464655252

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6117OTW113225839014362765833538105300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
615512201132331
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32226120175171
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
29325100057160
Derniers 10 Matchs
WLOTWOTL SOWSOL
181000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2853010.53%2386074.79%2
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
428493503155640342
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
400140328.51%656212530.87%28296229.31%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
8675642147464655252


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
1 - 2017-10-015Springfield Falcons3Connecticut Whale1LSommaire du Match
5 - 2017-10-0526Connecticut Whale2Rochester Americans5LSommaire du Match
6 - 2017-10-0639Connecticut Whale5Norfolk Admirals6LSommaire du Match
10 - 2017-10-1055Providence Bruins3Connecticut Whale0LSommaire du Match
12 - 2017-10-1272Hamilton Bulldogs3Connecticut Whale2LSommaire du Match
14 - 2017-10-1491Hershey Bears4Connecticut Whale3LXXSommaire du Match
16 - 2017-10-1698Connecticut Whale0Portland Pirates6LSommaire du Match
18 - 2017-10-18121Bridgeport Sound Tigers5Connecticut Whale3LSommaire du Match
19 - 2017-10-19135Connecticut Whale1Worchester Sharks5LSommaire du Match
22 - 2017-10-22152Connecticut Whale1St-John Ice Caps4LSommaire du Match
23 - 2017-10-23164Albany Devils9Connecticut Whale1LSommaire du Match
27 - 2017-10-27185Syracuse Crunch4Connecticut Whale3LXSommaire du Match
29 - 2017-10-29201Connecticut Whale6Manchester Monarchs2WSommaire du Match
31 - 2017-10-31216Binghampton Senateurs5Connecticut Whale1LSommaire du Match
33 - 2017-11-02236Connecticut Whale1Binghampton Senateurs5LSommaire du Match
34 - 2017-11-03245Connecticut Whale0Providence Bruins7LSommaire du Match
35 - 2017-11-04253Worchester Sharks6Connecticut Whale1LSommaire du Match
37 - 2017-11-06270Connecticut Whale6Houston Aeros5WXSommaire du Match
39 - 2017-11-08283Toronto Marlies6Connecticut Whale4LSommaire du Match
41 - 2017-11-10302Connecticut Whale0Bridgeport Sound Tigers11LSommaire du Match
42 - 2017-11-11309Connecticut Whale0Binghampton Senateurs7LSommaire du Match
43 - 2017-11-12322Houston Aeros5Connecticut Whale6WSommaire du Match
45 - 2017-11-14340Milwaukee Admirals5Connecticut Whale1LSommaire du Match
47 - 2017-11-16359Connecticut Whale2Oklahoma City Barons6LSommaire du Match
48 - 2017-11-17370Connecticut Whale2Adirondack Phantoms10LSommaire du Match
50 - 2017-11-19380Lake Erie Monsters6Connecticut Whale5LXSommaire du Match
53 - 2017-11-22401Springfield Falcons6Connecticut Whale5LSommaire du Match
54 - 2017-11-23416Connecticut Whale2Rockford IceHogs7LSommaire du Match
57 - 2017-11-26433Rockford IceHogs3Connecticut Whale1LSommaire du Match
60 - 2017-11-29454Connecticut Whale2St-John Ice Caps5LSommaire du Match
61 - 2017-11-30464Peoria Rivermen6Connecticut Whale2LSommaire du Match
62 - 2017-12-01484Connecticut Whale6Toronto Marlies4WSommaire du Match
63 - 2017-12-02494Abbotsford Heat7Connecticut Whale2LSommaire du Match
68 - 2017-12-07518Bridgeport Sound Tigers6Connecticut Whale1LSommaire du Match
70 - 2017-12-09539Chicago Wolves3Connecticut Whale2LSommaire du Match
74 - 2017-12-13566Connecticut Whale2Charlotte Checkers6LSommaire du Match
76 - 2017-12-15573Oklahoma City Barons8Connecticut Whale2LSommaire du Match
80 - 2017-12-19602Binghampton Senateurs4Connecticut Whale2LSommaire du Match
82 - 2017-12-21617Connecticut Whale2Syracuse Crunch6LSommaire du Match
87 - 2017-12-26633Manchester Monarchs2Connecticut Whale8WSommaire du Match
89 - 2017-12-28649Connecticut Whale3Abbotsford Heat6LSommaire du Match
90 - 2017-12-29661Albany Devils9Connecticut Whale0LSommaire du Match
93 - 2018-01-01684Connecticut Whale1Worchester Sharks4LSommaire du Match
94 - 2018-01-02694Norfolk Admirals5Connecticut Whale3LSommaire du Match
96 - 2018-01-04715Connecticut Whale1Hershey Bears3LSommaire du Match
98 - 2018-01-06722St-John Ice Caps7Connecticut Whale3LSommaire du Match
101 - 2018-01-09745Connecticut Whale0Adirondack Phantoms6LSommaire du Match
102 - 2018-01-10751Texas Stars6Connecticut Whale0LSommaire du Match
105 - 2018-01-13778Connecticut Whale3Chicago Wolves4LSommaire du Match
106 - 2018-01-14785Portland Pirates9Connecticut Whale4LSommaire du Match
107 - 2018-01-15799Connecticut Whale0Hamilton Bulldogs3LSommaire du Match
110 - 2018-01-18812Providence Bruins7Connecticut Whale2LSommaire du Match
112 - 2018-01-20829Connecticut Whale1Springfield Falcons7LSommaire du Match
113 - 2018-01-21840Connecticut Whale4Grand Rapids Griffins3WSommaire du Match
114 - 2018-01-22846Adirondack Phantoms7Connecticut Whale1LSommaire du Match
116 - 2018-01-24869Connecticut Whale0Peoria Rivermen7LSommaire du Match
118 - 2018-01-26876Hershey Bears4Connecticut Whale1LSommaire du Match
120 - 2018-01-28901Rochester Americans6Connecticut Whale2LSommaire du Match
122 - 2018-01-30920Connecticut Whale1Wilkes-Barre Penguins4LSommaire du Match
123 - 2018-01-31930Connecticut Whale3Providence Bruins6LSommaire du Match
124 - 2018-02-01937Grand Rapids Griffins2Connecticut Whale3WXSommaire du Match
128 - 2018-02-05962Syracuse Crunch-Connecticut Whale-
131 - 2018-02-08980Connecticut Whale-Milwaukee Admirals-
133 - 2018-02-10991Providence Bruins-Connecticut Whale-
135 - 2018-02-121002Connecticut Whale-Texas Stars-
138 - 2018-02-151021Wilkes-Barre Penguins-Connecticut Whale-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
141 - 2018-02-181041Connecticut Whale-Norfolk Admirals-
142 - 2018-02-191051San Antonio Rampage-Connecticut Whale-
146 - 2018-02-231081Hamilton Bulldogs-Connecticut Whale-
147 - 2018-02-241098Connecticut Whale-Syracuse Crunch-
149 - 2018-02-261111Hamilton Bulldogs-Connecticut Whale-
150 - 2018-02-271114Connecticut Whale-Albany Devils-
154 - 2018-03-031141Texas Stars-Connecticut Whale-
155 - 2018-03-041149Connecticut Whale-Portland Pirates-
158 - 2018-03-071171Wilkes-Barre Penguins-Connecticut Whale-
159 - 2018-03-081180Connecticut Whale-Rochester Americans-
161 - 2018-03-101185Connecticut Whale-Lake Erie Monsters-
163 - 2018-03-121199Connecticut Whale-San Antonio Rampage-
164 - 2018-03-131203Charlotte Checkers-Connecticut Whale-
165 - 2018-03-141207Connecticut Whale-Rochester Americans-
166 - 2018-03-151209Connecticut Whale-Lake Erie Monsters-
168 - 2018-03-171229Connecticut Whale-Manchester Monarchs-



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
2,868,887$ 22,000$ 24,420$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 13,292$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 42 22,615$ 949,830$




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
126155102201132331-199322260120175171-96293250100057160-10317132258390005640342143642849350315276583353810532853010.53%2386074.79%2400140328.51%656212530.87%28296229.31%8675642147464655252
Total Saison Régulière6155102201132331-199322260120175171-96293250100057160-10317132258390005640342143642849350315276583353810532853010.53%2386074.79%2400140328.51%656212530.87%28296229.31%8675642147464655252