Baltimore Tigers

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Terrance Westerlund | Morale : 68 | Moyenne d'Équipe : 72
Prochain matchs #8 vs Richmond Robins
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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
1Ryan Horwitz21X100.009936266683999199909999357599791486790
2Tyler Faughn11X100.00131997082886479427389797089974374730
3Mike Latiker37X100.00812068747289829265899948099991185730
4Trevor Zanin0X100.006715687976836571578592507093892984730
5Cary Gannaway27X100.008834387474845381648581377092995188710
6Derrick Bonte (R)0X100.004926857258844583628375625096906984700
7Ryan Cantrell68X100.005922516867855674868796327099996389700
8Ralph Fritts0X100.009933406081496185867681527299992972700
9Ted Trussell45X100.009723515888161582668391758199733119690
10Wilson Borden25X100.009299677980748329781187099994181690
11Alexander-Denis Roupe0X100.008248797376788565616879567097843082690
12Dustin Reimer0X100.00337997873808570346690537099533982690
13Dylan Potts5X98.508214777478988695698499967092675182820
14Marvin Hedlund77X99.50993726677948499972999994899999647800
15Tim Pennachio24X100.009936347869806946252941984699851074720
16Clark Widgeon38X100.0011996278282999749798937599861573710
17Keith Dunkel0X100.001199707593836134596386599999862690
18David Kray26X100.00351996379788178596278807086754057690
Rayé
1Marcel Carmer16X97.004018996876897685708797797097835984780
2Drew Snoke0X100.00352997081777278848188375099694219690
3Ben Bohon0X100.008915766779888471777675325299953141680
4Trevor Mingoia0X100.007421777165627077755565826689823341680
5Will Tabeling0X100.0011995283536597358376915099841421680
6Cliff Pastick0X100.00684996381868028283621902699843220670
7Rick Krause0X100.002214998068836950537170775099823420670
MOYENNE D'ÉQUIPE99.80571775697675687759768164659786336371
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
1Thomas Bibler100.00649073797284999995758072993483830
2Joshua Gilling100.00717243846789887391769295904386780
Rayé
MOYENNE D'ÉQUIPE100.0068815882708794869376868495398581
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mario Cicchane83608866688852CAN422550,000$


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
Alexander-Denis RoupeBaltimore TigersRW222/14/1996No187 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm482,500$482,500$482,500$No
Ben BohonBaltimore TigersRW2812/3/1990No205 Lbs6 ft6NoNoNo1Sans RestrictionPro & Farm645,000$645,000$645,000$No
Cary GannawayBaltimore TigersRW216/10/1997No183 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm503,846$503,846$503,846$No
Clark WidgeonBaltimore TigersD298/9/1989No217 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm500,000$500,000$500,000$No
Cliff PastickBaltimore TigersD2812/16/1990No223 Lbs6 ft7NoNoNo1Sans RestrictionPro & Farm530,000$530,000$530,000$No
David KrayBaltimore TigersD235/18/1995No210 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm460,000$460,000$460,000$No
Derrick BonteBaltimore TigersLW192/7/2000Yes184 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm590,385$590,385$590,385$No
Drew SnokeBaltimore TigersC263/5/1992No208 Lbs6 ft9NoNoNo1Avec RestrictionPro & Farm447,500$447,500$447,500$No
Dustin ReimerBaltimore TigersC227/23/1996No174 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm511,538$511,538$511,538$No
Dylan PottsBaltimore TigersD241/11/1995No191 Lbs6 ft6NoNoNo4Avec RestrictionPro & Farm2,000,000$2,000,000$2,000,000$No
Joshua GillingBaltimore TigersG232/16/1995No213 Lbs6 ft8NoNoNo2Avec RestrictionPro & Farm370,000$370,000$370,000$No
Keith DunkelBaltimore TigersD285/28/1990No192 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm540,000$540,000$540,000$No
Marcel CarmerBaltimore TigersC206/9/1998No203 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm574,038$574,038$574,038$No
Marvin HedlundBaltimore TigersD3011/12/1988No203 Lbs6 ft6NoNoNo2Sans RestrictionPro & Farm2,100,000$2,100,000$2,100,000$No
Mike LatikerBaltimore TigersLW276/7/1991No181 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm715,000$715,000$715,000$No
Ralph FrittsBaltimore TigersC325/18/1986No224 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm600,000$600,000$600,000$No
Rick KrauseBaltimore TigersD269/23/1992No158 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm625,000$625,000$625,000$No
Ryan CantrellBaltimore TigersLW2111/17/1997No206 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm446,226$446,226$446,226$No
Ryan HorwitzBaltimore TigersRW283/8/1990No216 Lbs6 ft9NoNoNo4Sans RestrictionPro & Farm2,400,000$2,400,000$2,400,000$No
Ted TrussellBaltimore TigersC293/4/1989No250 Lbs6 ft9NoNoNo1Sans RestrictionPro & Farm555,000$555,000$555,000$No
Thomas BiblerBaltimore TigersG331/12/1986No208 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,100,000$1,100,000$1,100,000$No
Tim PennachioBaltimore TigersD273/24/1991No165 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm825,000$825,000$825,000$No
Trevor MingoiaBaltimore TigersLW271/18/1992No193 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm349,942$349,942$349,942$No
Trevor ZaninBaltimore TigersLW227/30/1996No180 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm383,365$383,365$383,365$No
Tyler FaughnBaltimore TigersC241/28/1995No211 Lbs6 ft8NoNoNo1Avec RestrictionPro & Farm561,000$561,000$561,000$No
Will TabelingBaltimore TigersD298/25/1989No244 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm459,000$459,000$459,000$No
Wilson BordenBaltimore TigersRW2412/18/1994No204 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm400,000$400,000$400,000$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2725.63201 Lbs6 ft41.89728,679$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
19,674,340$13,628,149$6,757,885$4,990,385$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mike LatikerTyler FaughnRyan Horwitz40122
2Trevor ZaninRalph FrittsCary Gannaway30122
3Ryan CantrellDustin ReimerWilson Borden20122
4Derrick BonteTed TrussellAlexander-Denis Roupe10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan PottsMarvin Hedlund40122
2Tim PennachioClark Widgeon30122
3Keith DunkelDavid Kray20122
4Dylan PottsMarvin Hedlund10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mike LatikerTyler FaughnRyan Horwitz60122
2Trevor ZaninRalph FrittsCary Gannaway40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan PottsMarvin Hedlund60122
2Tim PennachioClark Widgeon40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan HorwitzMike Latiker60122
2Trevor ZaninTyler Faughn40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan PottsMarvin Hedlund60122
2Tim PennachioClark Widgeon40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Horwitz60122Dylan PottsMarvin Hedlund60122
2Mike Latiker40122Tim PennachioClark Widgeon40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan HorwitzMike Latiker60122
2Trevor ZaninTyler Faughn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan PottsMarvin Hedlund60122
2Tim PennachioClark Widgeon40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mike LatikerTyler FaughnRyan HorwitzDylan PottsMarvin Hedlund
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mike LatikerTyler FaughnRyan HorwitzDylan PottsMarvin Hedlund
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Cantrell, Derrick Bonte, Dustin ReimerRyan Cantrell, Derrick BonteDustin Reimer
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Keith Dunkel, David Kray, Tim PennachioKeith DunkelDavid Kray, Tim Pennachio
Tirs de Pénalité
Ryan Horwitz, Mike Latiker, Trevor Zanin, Tyler Faughn, Cary Gannaway
Gardien
#1 : Thomas Bibler, #2 : Joshua Gilling


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
2 - 2019-09-038Baltimore Tigers-Richmond Robins-
4 - 2019-09-0516Baltimore Tigers-Richmond Robins-
6 - 2019-09-0724Richmond Robins-Baltimore Tigers-
8 - 2019-09-0932Richmond Robins-Baltimore Tigers-
10 - 2019-09-1140Baltimore Tigers-Richmond Robins-
12 - 2019-09-1348Richmond Robins-Baltimore Tigers-
14 - 2019-09-1556Baltimore Tigers-Richmond Robins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna4500250017501500750
Prix des Billets102805543211
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$1100070

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 19,674,340$ 19,674,340$ 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$ 41,059,913$ 41,059,913$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Trevor ZaninAGE:22PO:29OV:73
Mike LatikerAGE:27PO:11OV:73
*Derrick BonteAGE:19PO:69OV:70
Ryan CantrellAGE:21PO:63OV:70
Alan PiccolaAGE:24PO:39OV:69
Kyle BarrettAGE:21PO:43OV:68
Trevor MingoiaAGE:27PO:33OV:68
Dave ZiskAGE:21PO:49OV:67
Dante CopelandAGE:20PO:61OV:65
Dominick KahreAGE:21PO:30OV:62
Dylan SeabrookAGE:21PO:69OV:61
Tim McCaskeyAGE:25PO:31OV:61
*Timmy MooreAGE:24PO:61OV:58
Marcel CarmerAGE:20PO:59OV:78
Tyler FaughnAGE:24PO:43OV:73
Ralph FrittsAGE:32PO:29OV:70
Tommy FontesAGE:21PO:49OV:69
Drew SnokeAGE:26PO:42OV:69
Dustin ReimerAGE:22PO:39OV:69
Ted TrussellAGE:29PO:31OV:69
Cristian EkbergAGE:20PO:37OV:66
Jon HelmickAGE:20PO:55OV:65
Rex CareyAGE:21PO:70OV:64
Will JuncajAGE:24PO:38OV:63
Bryant PaceAGE:21PO:57OV:60
Dean PenneyAGE:21PO:42OV:60
Darin KennedyAGE:22PO:41OV:60
Ryan HorwitzAGE:28PO:14OV:79
Cary GannawayAGE:21PO:51OV:71
Wilson BordenAGE:24PO:41OV:69
Alexander-Denis RoupeAGE:22PO:30OV:69
Ben BohonAGE:28PO:31OV:68
Ryan KabelAGE:22PO:32OV:67
Dion HaganAGE:37PO:12OV:67
*Todd BiceAGE:18PO:44OV:65
Antoine MorrisetteAGE:20PO:60OV:61
Joey DemeoAGE:19PO:59OV:58
Koby GrattonAGE:22PO:44OV:58
Chris VancottAGE:22PO:59OV:56

Défense #1Défense #2Gardien
Dylan PottsAGE:24PO:51OV:82
Marvin HedlundAGE:30PO:6OV:80
Tim PennachioAGE:27PO:10OV:72
Clark WidgeonAGE:29PO:15OV:71
David KrayAGE:23PO:40OV:69
Keith DunkelAGE:28PO:8OV:69
Jon LeuckAGE:23PO:17OV:68
Will TabelingAGE:29PO:14OV:68
Hunter GebhardtAGE:20PO:63OV:67
*Alex DeMaioAGE:19PO:53OV:67
Rick KrauseAGE:26PO:34OV:67
Cliff PastickAGE:28PO:32OV:67
Ty BurtonAGE:20PO:50OV:65
Nate MartinAGE:21PO:49OV:62
*Tyler WertzAGE:19PO:70OV:61
Raphael SanmiguelAGE:21PO:44OV:60
Danny FedericoAGE:26PO:68OV:59
Mark KanarekAGE:22PO:56OV:59
Thomas BiblerAGE:33PO:34OV:83
Joshua GillingAGE:23PO:43OV:78
Landon RamserAGE:25PO:56OV:77
*Matt GianopoulosAGE:20PO:59OV:73
Jayson SandrockAGE:27PO:45OV:73
Trevor HardridgeAGE:30PO:14OV:73
Stuart ConboyAGE:23PO:51OV: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
17Bal Bal Bal Pit Bal Bal Bal
18Bal Bal Bal Bal Bal Bal Bal Bal
19Bal Bal Bal Bal Bal Bal Bal Bal
20Bal Bal Bal Bal Bal Bal Bal Bal
21Bal Bal Bal Bal Bal Bal Bal Bal



[8/30/2019 11:28:16 PM] - TRADE : From Buffalo Wings to Baltimore Tigers : Kyle Barrett (68), Dylan Seabrook (61), Dustin Reimer (69).
[8/30/2019 11:28:16 PM] - TRADE : From Baltimore Tigers to Buffalo Wings : Connor Ehsan (66), Y:17-RND:4-Ott.
[8/30/2019 11:24:47 PM] - TRADE : From Baltimore Tigers to Albany Indians : Y:17-RND:6-Bal.
[8/30/2019 11:24:47 PM] - TRADE : From Albany Indians to Baltimore Tigers : Tim McCaskey (62).
[8/30/2019 9:12:00 PM] - TRADE : From Ottawa Spartans to Baltimore Tigers : Dominick Kahre (62).
[8/30/2019 9:12:00 PM] - TRADE : From Baltimore Tigers to Ottawa Spartans : Owen Browning (63), Mason McFarlane (60).
[8/30/2019 9:09:49 PM] - TRADE : From Pittsburgh Yellow Jackets to Baltimore Tigers : Trevor Mingoia (68), Rick Krause (67).
[8/30/2019 9:09:49 PM] - TRADE : From Baltimore Tigers to Pittsburgh Yellow Jackets : Ian Vidulich (69).
[8/30/2019 7:00:38 PM] - TRADE : From Pittsburgh Yellow Jackets to Baltimore Tigers : Jon Helmick (65), Y:17-RND:3-Pit.
[8/30/2019 7:00:38 PM] - TRADE : From Baltimore Tigers to Pittsburgh Yellow Jackets : Dan Rancourt (70), Logan Duchesne (62).
[8/30/2019 6:56:35 PM] - TRADE : From Ottawa Spartans to Baltimore Tigers : Rex Carey (64), Y:17-RND:4-Ott.
[8/30/2019 6:56:35 PM] - TRADE : From Baltimore Tigers to Ottawa Spartans : Taylor Lindell (67), Cory Pruss (63).
[7/1/2019 3:56:09 PM] - Baltimore Tigers hired Mario Cicchane for $550,000 for 2 year(s).
[7/1/2019 3:55:56 PM] - Columbia Tigers hired Dave Cameron for $275,000 for 1 year(s).
[7/1/2019 3:55:55 PM] - Columbia Tigers fired Mario Cicchane.
[7/1/2019 3:55:01 PM] - Baltimore Tigers fired John Keegan.
[6/28/2019 11:05:38 PM] - Keith Dunkel was added to Baltimore Tigers.
[6/28/2019 11:05:38 PM] - Baltimore Tigers claimed Keith Dunkel from waivers by Halifax Kings for $0.
[6/28/2019 10:59:10 PM] - Baltimore Tigers show interest in Keith Dunkel from waiver.
[6/15/2019 12:49:01 PM] - TRADE : From Rochester Lakers to Baltimore Tigers : Hunter Gebhardt (66), Ryan Kabel (66).
[6/15/2019 12:49:01 PM] - TRADE : From Baltimore Tigers to Rochester Lakers : Albert Hope (71), Y:17-RND:4-Bal.
[6/13/2019 8:32:46 PM] - Mark Abele was released.
[6/13/2019 8:32:46 PM] - Baltimore Tigers paid $0 to release Mark Abele.
[6/13/2019 8:32:44 PM] - Justin McWright was released.
[6/13/2019 8:32:44 PM] - Baltimore Tigers paid $0 to release Justin McWright.
[6/13/2019 8:32:39 PM] - Joe Palazzi was released.
[6/13/2019 8:32:39 PM] - Baltimore Tigers paid $0 to release Joe Palazzi.
[6/13/2019 8:32:34 PM] - Geoff Stolberg was released.
[6/13/2019 8:32:34 PM] - Baltimore Tigers paid $0 to release Geoff Stolberg.
[6/13/2019 8:32:31 PM] - Garrett Ressler was released.
[6/13/2019 8:32:31 PM] - Baltimore Tigers paid $0 to release Garrett Ressler.
[6/13/2019 8:32:26 PM] - Drew Mangione was released.
[6/13/2019 8:32:26 PM] - Baltimore Tigers paid $0 to release Drew Mangione.
[6/13/2019 8:32:23 PM] - David Rotelli was released.
[6/13/2019 8:32:23 PM] - Baltimore Tigers paid $0 to release David Rotelli.
[6/13/2019 8:32:19 PM] - Christopher Stecker was released.
[6/13/2019 8:32:19 PM] - Baltimore Tigers paid $0 to release Christopher Stecker.
[6/10/2019 9:50:06 PM] - Kyle Whitsell was released.
[6/9/2019 11:28:09 AM] - Trevor Hardridge signed with Baltimore Tigers for $287,500 for 2 year(s).
[6/9/2019 11:28:09 AM] - Trevor Hardridge was added to Baltimore Tigers.
[6/7/2019 10:37:56 PM] - Dion Hagan signed with Baltimore Tigers for $485,000 for 1 year(s).
[6/7/2019 10:37:56 PM] - Dion Hagan was added to Baltimore Tigers.
[6/7/2019 12:03:58 AM] - Ian Vidulich signed with Baltimore Tigers for $580,000 for 2 year(s).
[6/7/2019 12:03:58 AM] - Ian Vidulich was added to Baltimore Tigers.
[6/7/2019 12:03:44 AM] - Albert Hope signed with Baltimore Tigers for $500,000 for 1 year(s).
[6/7/2019 12:03:44 AM] - Albert Hope was added to Baltimore Tigers.
[6/5/2019 9:36:53 PM] - Ralph Fritts signed with Baltimore Tigers for $600,000 for 1 year(s).
[6/5/2019 9:36:53 PM] - Ralph Fritts was added to Baltimore Tigers.
[6/2/2019 7:01:23 PM] - Owen Browning signed with Baltimore Tigers for $360,000 for 1 year(s).
[6/2/2019 7:01:23 PM] - Owen Browning was added to Baltimore Tigers.
[6/2/2019 7:01:01 PM] - Drew Snoke signed with Baltimore Tigers for $447,500 for 1 year(s).
[6/2/2019 7:01:01 PM] - Drew Snoke was added to Baltimore Tigers.
[6/2/2019 2:59:45 PM] - Timmy Moore was added to Baltimore Tigers.



[9/2/2019 1:26:48 PM] Marcel Carmer from Baltimore Tigers is back from Exhaustion.
[9/2/2019 1:26:48 PM] Columbia Tigers lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:48 PM] Game 1066 - Kyle Barrett from Columbia Tigers is injured (Bruised Left Leg) and is out for 2 weeks.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Columbia Tigers.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Baltimore Tigers.



Dave Zisk est dehors pour 2 jours à cause de Torn Left MCL Injury.
Kyle Barrett est dehors pour 5 jours à cause de Bruised Left Leg Injury.



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
1680352713140027425321402410501001501232740111781300124130-683274479753109892831244084781475722245289186416173817018.37%3785884.66%8980202648.37%1038197052.69%593119849.50%170496217637651406689
07-088034271504002232203402012701001151021340141580300108118-10832233555782477776902584959872730232573843241419502793612.90%3124585.58%161069204352.33%1067210350.74%662129151.28%169388416197901567786
08-0980313575200276281-540161643100134132240151932100142149-7692764537290073120785285096499587714281095678818572693914.50%2483187.50%8980195050.26%1055213949.32%701139350.32%1686920376917751495753
09-108033327530030327924401815340001691393040151741300134140-673303521824021028910752805974941870202811925104617822924415.07%3074385.99%41008201150.12%1124214552.40%733145450.41%1657895582027071496744
10-11803430102400275252234017182120013012644017128120014512619782754747491099809422785101290683730272891768016782694215.61%2484083.87%41081205652.58%1156219452.69%641122752.24%168393417177531462731
11-1280273793400276286-1040161722300138140-240112071100138146-863276475751629192903256088587078520264086383716502784516.19%3425982.75%6959192349.87%916187848.78%607123349.23%167491517177731466712
12-13802635105400276305-2940121854100136147-1140141751300140158-1862276470746408498895268599587679222278894578016722855318.60%2975083.16%81095202953.97%1048198852.72%669124853.61%167793317397621444710
13-14802734151300238253-1540171560200124122240101991100114131-1769238416654008883661271696590282722272691395616243624512.43%3965885.35%51081210951.26%1094221949.30%594117850.42%169893517467761438707
14-1580431717030029124447402051203001391172240231250000152127251032915047951299979502733106487277720271587983016884007418.50%3516980.34%71103214351.47%1155223051.79%623119552.13%173596517087571441733
15-1680313183700285283240121653400138149-1140191530300147134137028548577010106968032886109091686119270390174316263716517.52%3525285.23%31215219255.43%1149214753.52%697129453.86%174599716887441421707
16-1780313851500246278-3240151831300135145-1040162020200111133-2267246431677118477841252692078681282542781102716263055217.05%3626881.22%7984193750.80%1060206951.23%566114649.39%169697217537491385671
17-18802834113400238243-540151750300119126-740131763100119117267238411649318372803241787382570613252985799216222894716.26%3555385.07%4934187949.71%933191048.85%592116850.68%166192918017551403686
Total Saison Régulière96038037712729470032013177244802021775918240016271568594801782006811230015741609-35887320154748675201210841073101529319871154810575963123332017106711195720392378061216.19%394862684.14%80124892429851.40%127952499251.20%76781502551.10%20316112462684412112174278634