Burlington Cougars

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Green Mountain Marriott | Morale : 71 | Moyenne d'Équipe : 72
Prochain matchs #1 vs Boston Eagles
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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
1Tim Olson12X100.0046199657499769990999987839999179830
2Paul Berlo18X100.001199598085739984999764509999174780
3Nolan Vecchione7X100.0039199836875479919899495099993179770
4Trent McCollough0X100.00223997276868384497896547099821879730
5Colin Welson48X100.001199548323459199919168809999176710
6Morgan Wolfenbarger32X100.001199578369787893888562509987180710
7Darrell Friskney0X100.00972267777261607088739258979982465710
8Dalton Eisley (R)0X100.004026997165836173848387595082635282700
9Kurt Jenkins0X100.0051996676766282908485557085944375700
10Rian Westaby0X100.0011996879545977936386839999791080690
11Eli Polnau0X100.00175997275818177808087327095914561690
12Sean Bookard23X100.009028697656836584188466585085525781690
13Devin Marquardt55X100.0011996772999999549898868999983080790
14Matt Peltz6X100.009934305986684590387480995299892855770
15Walter Tracy3X100.00382996183905872235868947099933556720
16Peter Karathanasis0X100.009551346284808042367259867079943880720
17Sebastien Paquette38X100.008124586580797765415373785099714474700
18Don Reddig0X100.0011997275857469245959864099992579690
Rayé
1Lynn Munsch28X100.00665976176324686797483778499992820700
2Tyson Spink72X100.006019887171756565577688568098795020690
3Eric Hilger0X100.0060199747482836947288497099673673690
4Andrew Tutton0X100.0051995986988676407585435099912720680
5Justin Anderson0X100.0011997075666266386357965399902420680
6Steve Stensland0X100.00361996982798276426980557084934459680
7Dan Smith0X100.0011997074606174406163885599992371670
MOYENNE D'ÉQUIPE100.0036989677675687855778269669688286572
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
1Dana Reilly100.00747082777692989999646172904179830
2Ryan Bright100.00612569736882989993687599994756780
Rayé
MOYENNE D'ÉQUIPE100.0068487675728798999666688695446881
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Craig82808984798956CAN453800,000$


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
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


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
Andrew TuttonBurlington CougarsC252/19/1993No245 Lbs6 ft9NoNoNo2Avec RestrictionPro & Farm480,000$480,000$480,000$No
Colin WelsonBurlington CougarsLW304/16/1988No247 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm540,000$540,000$540,000$No
Dalton EisleyBurlington CougarsC198/25/1999Yes194 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm567,308$567,308$567,308$No
Dan SmithBurlington CougarsD2911/26/1989No194 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm417,500$417,500$417,500$No
Dana ReillyBurlington CougarsG213/2/1997No191 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm515,385$515,385$515,385$No
Darrell FriskneyBurlington CougarsC298/13/1989No176 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm755,000$755,000$755,000$No
Devin MarquardtBurlington CougarsD3012/12/1988No189 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$2,000,000$No
Don ReddigBurlington CougarsD287/23/1990No189 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm800,000$800,000$800,000$No
Eli PolnauBurlington CougarsC223/16/1996No187 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm425,000$425,000$425,000$No
Eric HilgerBurlington CougarsC251/28/1994No181 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm545,000$545,000$545,000$No
Justin AndersonBurlington CougarsD286/14/1990No191 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm467,500$467,500$467,500$No
Kurt JenkinsBurlington CougarsLW244/5/1994No200 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm360,000$360,000$360,000$No
Lynn MunschBurlington CougarsLW356/23/1983No212 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm750,000$750,000$750,000$No
Matt PeltzBurlington CougarsD271/29/1992No241 Lbs6 ft7NoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$1,000,000$No
Morgan WolfenbargerBurlington CougarsRW294/9/1989No241 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm770,000$770,000$770,000$No
Nolan VecchioneBurlington CougarsRW267/1/1992No158 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm642,500$642,500$642,500$No
Paul BerloBurlington CougarsLW301/28/1989No221 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm1,375,000$1,375,000$1,375,000$No
Peter KarathanasisBurlington CougarsD223/10/1996No231 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm600,000$600,000$600,000$No
Rian WestabyBurlington CougarsRW284/12/1990No205 Lbs6 ft5NoNoNo2Sans RestrictionPro & Farm550,000$550,000$550,000$No
Ryan BrightBurlington CougarsG361/6/1983No194 Lbs5 ft7NoNoNo1Sans RestrictionPro & Farm285,000$285,000$285,000$No
Sean BookardBurlington CougarsRW194/27/1999No172 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm564,423$564,423$564,423$No
Sebastien PaquetteBurlington CougarsD269/20/1992No212 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm425,000$425,000$425,000$No
Steve StenslandBurlington CougarsD2510/20/1993No211 Lbs6 ft8NoNoNo1Avec RestrictionPro & Farm440,000$440,000$440,000$No
Tim OlsonBurlington CougarsC407/29/1978No196 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,700,000$2,700,000$2,700,000$No
Trent McColloughBurlington CougarsLW222/18/1996No196 Lbs6 ft6NoNoNo3Contrat d'EntréePro & Farm565,000$565,000$565,000$No
Tyson SpinkBurlington CougarsC2612/31/1992No191 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm536,538$536,538$536,538$No
Walter TracyBurlington CougarsD2512/13/1993No228 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm650,000$650,000$650,000$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2726.89203 Lbs6 ft32.00730,598$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
19,726,154$10,581,731$4,701,731$1,592,308$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Paul BerloTim OlsonNolan Vecchione40122
2Trent McColloughDarrell FriskneyMorgan Wolfenbarger30122
3Colin WelsonDalton EisleySean Bookard20122
4Kurt JenkinsEli PolnauRian Westaby10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devin MarquardtMatt Peltz40122
2Peter KarathanasisWalter Tracy30122
3Sebastien PaquetteDon Reddig20122
4Devin MarquardtMatt Peltz10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Paul BerloTim OlsonNolan Vecchione60122
2Trent McColloughDarrell FriskneyMorgan Wolfenbarger40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devin MarquardtMatt Peltz60122
2Peter KarathanasisWalter Tracy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tim OlsonPaul Berlo60122
2Nolan VecchioneTrent McCollough40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devin MarquardtMatt Peltz60122
2Peter KarathanasisWalter Tracy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tim Olson60122Devin MarquardtMatt Peltz60122
2Paul Berlo40122Peter KarathanasisWalter Tracy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tim OlsonPaul Berlo60122
2Nolan VecchioneTrent McCollough40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devin MarquardtMatt Peltz60122
2Peter KarathanasisWalter Tracy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Paul BerloTim OlsonNolan VecchioneDevin MarquardtMatt Peltz
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Paul BerloTim OlsonNolan VecchioneDevin MarquardtMatt Peltz
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Colin Welson, Dalton Eisley, Kurt JenkinsColin Welson, Dalton EisleyKurt Jenkins
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sebastien Paquette, Don Reddig, Peter KarathanasisSebastien PaquetteDon Reddig, Peter Karathanasis
Tirs de Pénalité
Tim Olson, Paul Berlo, Nolan Vecchione, Trent McCollough, Colin Welson
Gardien
#1 : Dana Reilly, #2 : Ryan Bright


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL TGFGA
00000000
Matchs locaux
GPWLOTWOTL TGFGA
00000000
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
00000000
Derniers 10 Matchs
WLOTWOTL T
00000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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 - 2019-09-021Boston Eagles-Burlington Cougars-
3 - 2019-09-049Boston Eagles-Burlington Cougars-
5 - 2019-09-0617Burlington Cougars-Boston Eagles-
7 - 2019-09-0825Burlington Cougars-Boston Eagles-
9 - 2019-09-1033Boston Eagles-Burlington Cougars-
11 - 2019-09-1241Burlington Cougars-Boston Eagles-
13 - 2019-09-1449Boston Eagles-Burlington Cougars-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna20008007005001000
Prix des Billets122905843252
Assistance0.00%0.00%0.00%0.00%0.00%
Attendance PCT0.00%0.00%0.00%0.00%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$5000300

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 19,726,154$ 19,726,154$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 27 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 68,301,030$ 68,301,030$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Paul BerloAGE:30PO:1OV:78
Trent McColloughAGE:22PO:18OV:73
Byron SalerAGE:24PO:54OV:72
Colin WelsonAGE:30PO:1OV:71
Kurt JenkinsAGE:24PO:43OV:70
Lynn MunschAGE:35PO:28OV:70
Kyle AnconaAGE:35PO:20OV:70
Craig NelliganAGE:37PO:12OV:70
Jarrett HerzogAGE:21PO:52OV:67
Colin SoucyAGE:20PO:43OV:62
*Axel StigssonAGE:20PO:70OV:57
Ryan KimAGE:22PO:55OV:56
*Henry SmithAGE:21PO:52OV:55
Tim OlsonAGE:40PO:1OV:83
Darrell FriskneyAGE:29PO:4OV:71
*Dalton EisleyAGE:19PO:52OV:70
Tyson SpinkAGE:26PO:50OV:69
Eli PolnauAGE:22PO:45OV:69
Eric HilgerAGE:25PO:36OV:69
Brad SimsAGE:36PO:16OV:69
Andrew TuttonAGE:25PO:27OV:68
Julius BourassaAGE:35PO:23OV:68
Dario CicaleAGE:29PO:12OV:66
Brody GulickAGE:22PO:57OV:61
Nolan VecchioneAGE:26PO:31OV:77
Morgan WolfenbargerAGE:29PO:1OV:71
Sean BookardAGE:19PO:57OV:69
Rian WestabyAGE:28PO:10OV:69
Mike EckrichAGE:24PO:36OV:68
Henry RosenAGE:34PO:26OV:68
Tim ValtierraAGE:28PO:7OV:61
*Austin LachowskiAGE:20PO:68OV:59
*Garrett LeverAGE:19PO:51OV:59
Riley KubiakAGE:23PO:46OV:59
Sebastian AlbertsenAGE:25PO:52OV:58
*Derian PlouffeAGE:24PO:51OV:57
Corey HutchensonAGE:21PO:57OV:56

Défense #1Défense #2Gardien
Devin MarquardtAGE:30PO:30OV:79
Matt PeltzAGE:27PO:28OV:77
Peter KarathanasisAGE:22PO:38OV:72
Walter TracyAGE:25PO:35OV:72
Sebastien PaquetteAGE:26PO:44OV:70
Don ReddigAGE:28PO:25OV:69
Ricky StenersonAGE:21PO:66OV:68
Steve StenslandAGE:25PO:44OV:68
Justin AndersonAGE:28PO:24OV:68
Dan SmithAGE:29PO:23OV:67
Ron GrennanAGE:29PO:4OV:67
Clint TraegerAGE:23PO:37OV:65
Morgan DuffyAGE:21PO:30OV:65
Stephen KennefickAGE:24PO:21OV:65
Clint CreamerAGE:20PO:62OV:61
Brock MaschmeyerAGE:26PO:74OV:60
Trent WestenbergerAGE:20PO:50OV:60
Dana ReillyAGE:21PO:41OV:83
Ryan BrightAGE:36PO:47OV:78
Darren BradburyAGE:29PO:16OV:76
Blaine PhillipsAGE:28PO:51OV:74
Phillipe DeschampsAGE:19PO:57OV:72
*Adam HarberAGE:20PO:49OV:72
Shayne CaranzaAGE:22PO:58OV:70

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
17Bur Bur Bur Bur Bur Bur Bur Bur
18Bur Bur Bur Bur Bur Bur Bur Bur
19Bur Bur Bur Bur Bur Bur Bur Bur
20Bur Bur Bur Bur Bur Bur Bur Bur
21Bur Bur Bur Bur Bur Bur Bur Bur



[7/13/2019 10:31:08 AM] - Next Year Contract : Paul Berlo signed with Burlington Cougars for $2,250,000 for 5 year(s) with $0 in bonus.
[6/15/2019 12:39:23 PM] - TRADE : From Burlington Cougars to Indianapolis Racers : Rick McCoy (67), Heath Aiken (64).
[6/15/2019 12:39:23 PM] - TRADE : From Indianapolis Racers to Burlington Cougars : Mike Eckrich (66), Jarrett Herzog (66).
[6/13/2019 8:46:54 PM] - Yannick Lecomte was released.
[6/13/2019 8:46:54 PM] - Burlington Cougars paid $0 to release Yannick Lecomte.
[6/13/2019 8:46:44 PM] - Nick Gaughan was released.
[6/13/2019 8:46:44 PM] - Burlington Cougars paid $0 to release Nick Gaughan.
[6/13/2019 8:46:32 PM] - Nicholas Maynard was released.
[6/13/2019 8:46:32 PM] - Burlington Cougars paid $0 to release Nicholas Maynard.
[6/13/2019 8:46:19 PM] - Matt Cardine was released.
[6/13/2019 8:46:19 PM] - Burlington Cougars paid $0 to release Matt Cardine.
[6/13/2019 8:46:14 PM] - Michael Barrale was released.
[6/13/2019 8:46:14 PM] - Burlington Cougars paid $0 to release Michael Barrale.
[6/13/2019 8:46:08 PM] - Hugo Lapointe was released.
[6/13/2019 8:46:08 PM] - Burlington Cougars paid $0 to release Hugo Lapointe.
[6/13/2019 8:46:02 PM] - Grayson Doby was released.
[6/13/2019 8:46:02 PM] - Burlington Cougars paid $0 to release Grayson Doby.
[6/13/2019 8:45:57 PM] - Elliott Harsch was released.
[6/13/2019 8:45:57 PM] - Burlington Cougars paid $0 to release Elliott Harsch.
[6/13/2019 8:45:52 PM] - Drew Titterington was released.
[6/13/2019 8:45:52 PM] - Burlington Cougars paid $0 to release Drew Titterington.
[6/13/2019 8:45:47 PM] - Donovan Wilson was released.
[6/13/2019 8:45:47 PM] - Burlington Cougars paid $0 to release Donovan Wilson.
[6/13/2019 8:45:40 PM] - Don Arthur was released.
[6/13/2019 8:45:40 PM] - Burlington Cougars paid $0 to release Don Arthur.
[6/9/2019 4:33:28 PM] - Montpelier Cougars hired Mike Dawson for $275,000 for 3 year(s).
[6/9/2019 4:33:17 PM] - Burlington Cougars hired Dan Craig for $800,000 for 3 year(s).
[6/9/2019 11:36:53 AM] - Darren Bradbury signed with Burlington Cougars for $700,000 for 3 year(s).
[6/9/2019 11:36:53 AM] - Darren Bradbury was added to Burlington Cougars.
[6/9/2019 12:23:34 AM] - Sebastian Albertsen signed with Burlington Cougars for $215,000 for 2 year(s).
[6/9/2019 12:23:34 AM] - Sebastian Albertsen was added to Burlington Cougars.
[6/9/2019 12:23:17 AM] - Ron Grennan signed with Burlington Cougars for $455,000 for 2 year(s).
[6/9/2019 12:23:17 AM] - Ron Grennan was added to Burlington Cougars.
[6/9/2019 12:23:01 AM] - Dan Smith signed with Burlington Cougars for $417,500 for 2 year(s).
[6/9/2019 12:23:01 AM] - Dan Smith was added to Burlington Cougars.
[6/9/2019 12:22:48 AM] - Justin Anderson signed with Burlington Cougars for $467,500 for 2 year(s).
[6/9/2019 12:22:48 AM] - Justin Anderson was added to Burlington Cougars.
[6/7/2019 10:41:07 PM] - Tim Valtierra signed with Burlington Cougars for $325,000 for 2 year(s).
[6/7/2019 10:41:07 PM] - Tim Valtierra was added to Burlington Cougars.
[6/7/2019 10:40:49 PM] - Rian Westaby signed with Burlington Cougars for $550,000 for 2 year(s).
[6/7/2019 10:40:49 PM] - Rian Westaby was added to Burlington Cougars.
[6/7/2019 12:06:39 AM] - Craig Nelligan signed with Burlington Cougars for $550,000 for 1 year(s).
[6/7/2019 12:06:39 AM] - Craig Nelligan was added to Burlington Cougars.
[6/7/2019 12:06:24 AM] - Kyle Ancona signed with Burlington Cougars for $500,000 for 1 year(s).
[6/7/2019 12:06:24 AM] - Kyle Ancona was added to Burlington Cougars.
[6/5/2019 9:46:10 PM] - Dario Cicale signed with Burlington Cougars for $382,500 for 1 year(s).
[6/5/2019 9:46:10 PM] - Dario Cicale was added to Burlington Cougars.
[6/5/2019 9:39:13 PM] - Brad Sims signed with Burlington Cougars for $500,000 for 1 year(s).
[6/5/2019 9:39:13 PM] - Brad Sims was added to Burlington Cougars.
[6/5/2019 9:26:50 PM] - Darrell Friskney signed with Burlington Cougars for $755,000 for 3 year(s).
[6/5/2019 9:26:50 PM] - Darrell Friskney was added to Burlington Cougars.
[6/2/2019 7:14:19 PM] - Clint Traeger signed with Burlington Cougars for $333,333 for 2 year(s).
[6/2/2019 7:14:19 PM] - Clint Traeger was added to Burlington Cougars.
[6/2/2019 7:14:08 PM] - Steve Stensland signed with Burlington Cougars for $440,000 for 1 year(s).
[6/2/2019 7:14:08 PM] - Steve Stensland was added to Burlington Cougars.
[6/2/2019 7:09:00 PM] - Don Reddig signed with Burlington Cougars for $800,000 for 3 year(s).
[6/2/2019 7:09:00 PM] - Don Reddig was added to Burlington Cougars.
[6/2/2019 2:59:45 PM] - Henry Smith was added to Burlington Cougars.



[9/2/2019 1:26:50 PM] Montpelier Cougars lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Montpelier Cougars.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Burlington Cougars.



Pas de Blessure ou de Suspension.


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
16803828743002672135440211332100141915040171542200126122483267470737238484954252389683677417243677240915823515615.95%2002786.50%31074198854.02%1051187556.05%661119555.31%1788105016737151389711
07-0880303784100254290-3640161751100125147-2240142033000129143-14682544216750185887742586968833768172712866193519263135517.57%2534283.40%6868192545.09%915203544.96%619141743.68%162984016697851550785
08-0980393361100266264240171850000124135-1140221511100142129138426644871400851047612768100996278611283589598018062903712.76%2273783.70%2949200647.31%939204245.98%600135744.22%1663897364116911513760
09-1080344041100271277-6402216011001491301940122440000122147-257227144471501929781127579619148748274591987517522794817.20%2333684.55%7915195146.90%1011209148.35%659140047.07%1667909586026931482745
10-1180303991100256266-1040151770100125120540152221000131146-15692564386943073100821270693791483916273292872517522904114.14%2553486.67%3894200744.54%987209347.16%575122347.02%167791216917601480746
11-128037291013002962663040181640200140131940191361100156135218429650880431961049512731103085882815268486956117303265617.18%2564582.42%5988204448.34%951206246.12%591122248.36%171495617077501437726
12-13804121115200288237514015138310013713164026832100151106459328848977710102859652741102488379836265887762017313515114.53%2583785.66%1974204447.65%921204545.04%590120948.80%173096416917491447738
13-148038251142002862503640218731001571183940171741100129132-387286487773209899854269193290382432278692068517133676417.44%3074984.04%5886213041.60%895219040.87%528120143.96%172196217287461423720
14-1580352967300278245334021124120015412628401417261001241195762784897671184949372820104189486718266889078116143886817.53%2794085.66%41017218346.59%970209446.32%585123647.33%1749100216897391406708
15-168037268630028926128401913512001421281440181335100147133148228950779621871029462742102092577720278689879115923776918.30%3735385.79%61024212048.30%1076225047.82%656125852.15%174199017217401390696
16-17803531752002452414402111431001231041940142032100122137-1577245423668218786675248991081974416242581587316202965518.58%3325184.64%21020188854.03%1003181755.20%637115355.25%173098816997401413701
17-18803426154100256238184016141000001201191401812541001361191783256426682118492764247990376078828249079952914673044113.49%2545279.53%31035192153.88%983184553.28%640118554.01%1758101417167281413716
Total Saison Régulière96042836410243230032523048204480222168621513001637148015748020619640281000161515684795832525550880217101057113510174332033116311050196672343195710448976420285393264116.30%322750384.41%47116442420748.10%117022443947.88%73411505648.76%20571114882649211841173498758