NorthEastern Hockey League

Watertown Bulls
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any 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	SP
1	Ryan Wittenmyer	0		X			100.00	99	35	22	66	83	99	74	99	84	99	99	83	99	99	99	4	67	84	0
2	Greg Sortino	12	X				100.00	99	35	14	59	86	99	95	99	68	99	98	85	50	99	92	30	47	84	0
3	Kyle Singleton	0			X		100.00	92	18	68	72	78	91	37	99	78	99	99	91	70	99	56	65	36	81	0
4	Dennis Kubik	26		X			100.00	56	6	99	58	84	84	47	90	62	94	98	57	70	99	99	25	45	75	0
5	Jacob Bear (R)	0			X		100.00	68	51	55	79	55	87	44	83	6	63	98	97	50	99	74	49	22	74	0
6	Tyler Lisowe	21		X			100.00	95	30	42	70	77	76	71	83	39	84	96	36	70	99	49	40	53	71	0
7	Ross Stanard	0		X			100.00	27	6	99	79	74	72	82	75	50	80	79	61	70	91	71	49	81	71	0
8	Brandon Clark	10	X				100.00	96	33	20	71	67	80	75	72	23	81	89	67	50	73	72	48	45	71	0
9	Christopher Rogowski	37			X		100.00	8	2	99	64	78	77	46	90	1	94	82	56	70	99	60	23	31	69	0
10	Preston Seher	0	X				100.00	66	30	58	79	73	73	75	78	75	78	95	35	70	90	49	41	47	69	0
11	Christian Montross	0	X				100.00	31	18	99	72	68	84	44	77	38	74	95	61	70	93	47	46	53	69	0
12	Tyler Beard	0			X		100.00	48	1	99	69	75	68	67	72	63	69	89	36	92	99	73	24	75	67	0
13	Will Lifland	6				X	100.00	99	30	24	59	85	78	71	99	50	98	98	71	89	99	99	10	52	79	0
14	Walter Pyne	3				X	100.00	99	35	26	56	85	51	50	88	84	75	74	92	55	99	99	39	44	74	0
15	Shawn Rosson	5				X	100.00	99	33	27	62	82	95	76	59	22	39	36	99	35	99	89	10	36	74	0
16	Vaughn Rehagen	0				X	100.00	90	28	37	71	78	86	78	86	45	66	88	34	70	99	83	44	32	69	0
17	Frank Cullum	0				X	100.00	1	1	99	55	81	70	84	92	77	76	71	75	50	99	99	35	59	68	0
18	Crayden Guderjahn	0				X	100.00	1	1	99	67	77	62	58	74	37	52	65	97	61	99	99	24	26	68	0
Rayé
1	Richard Lundquist	0		X			100.00	17	1	99	71	67	51	66	79	85	80	90	58	84	99	99	29	19	70	0
2	Perry Loparo	0		X			100.00	99	23	59	58	82	31	47	90	88	90	95	35	79	99	99	1	19	70	0
3	Brock Nazareno	0		X			100.00	97	20	62	76	68	88	84	67	85	48	70	81	80	99	81	6	20	70	0
4	Nicholas Blanchard	0			X		79.92	4	3	93	68	71	1	11	98	77	83	98	68	85	99	99	36	29	69	0
5	Aaron Downey	0				X	91.72	99	34	25	62	75	66	59	82	60	79	63	92	53	99	99	18	12	75	0

	MOYENNE D'ÉQUIPE					98.77	65	21	62	67	76	73	63	84	56	78	85	68	68	97	82	30	41	73

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any 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	SP
1	Tyson Avendano	100.00	85	40	53	71	70	92	99	95	88	71	63	89	95	56	23	79	0
2	Scott Gillis	100.00	57	74	76	84	72	71	91	98	85	68	70	57	99	55	44	77	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	71	57	65	78	71	82	95	97	87	70	67	73	97	56	34	78

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Patregnani	71	79	67	73	74	89	51	USA	47	3	450,000$

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	Nom de l'Équipe	POS	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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
Aaron Downey (Sur la Masse Salariale)	Syracuse Bulls	D	37	6/17/1981	No	208 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	1,350,000$	1,350,000$	1,350,000$	No
Brandon Clark	Syracuse Bulls	C	20	12/20/1998	No	188 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	610,577$	610,577$	610,577$	No
Brock Nazareno	Syracuse Bulls	LW	28	3/23/1990	No	164 Lbs	5 ft11	No	No	No	3	Sans Restriction	Pro & Farm	700,000$	700,000$	700,000$	No
Christian Montross	Syracuse Bulls	C	19	3/13/1999	No	193 Lbs	6 ft4	No	No	No	3	Contrat d'Entrée	Pro & Farm	483,173$	483,173$	483,173$	No
Christopher Rogowski	Syracuse Bulls	RW	24	4/10/1994	No	209 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	472,500$	472,500$	472,500$	No
Crayden Guderjahn	Syracuse Bulls	D	28	3/23/1990	No	205 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	550,000$	550,000$	550,000$	No
Dennis Kubik	Syracuse Bulls	LW	25	8/16/1993	No	238 Lbs	6 ft7	No	No	No	2	Avec Restriction	Pro & Farm	850,000$	850,000$	850,000$	No
Frank Cullum	Syracuse Bulls	D	31	3/30/1987	No	237 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	482,500$	482,500$	482,500$	No
Greg Sortino	Syracuse Bulls	C	29	11/5/1989	No	240 Lbs	6 ft8	No	No	No	2	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	No
Jacob Bear	Syracuse Bulls	RW	19	12/17/1999	Yes	164 Lbs	5 ft11	No	No	No	4	Contrat d'Entrée	Pro & Farm	601,923$	601,923$	601,923$	No
Kyle Singleton	Syracuse Bulls	RW	23	12/18/1995	No	195 Lbs	6 ft4	No	No	No	6	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No
Nicholas Blanchard (Sur la Masse Salariale)	Syracuse Bulls	RW	32	9/13/1986	No	185 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	500,000$	500,000$	500,000$	No
Perry Loparo	Syracuse Bulls	LW	31	1/9/1988	No	229 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	565,000$	565,000$	565,000$	No
Preston Seher	Syracuse Bulls	C	21	10/25/1997	No	180 Lbs	6 ft6	No	No	No	2	Contrat d'Entrée	Pro & Farm	333,010$	333,010$	333,010$	No
Richard Lundquist	Syracuse Bulls	LW	36	2/6/1983	No	172 Lbs	5 ft9	No	No	No	1	Sans Restriction	Pro & Farm	615,000$	615,000$	615,000$	No
Ross Stanard	Syracuse Bulls	LW	21	6/5/1997	No	175 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	265,347$	265,347$	265,347$	No
Ryan Wittenmyer	Syracuse Bulls	LW	28	9/30/1990	No	218 Lbs	6 ft10	No	No	No	2	Sans Restriction	Pro & Farm	3,200,000$	3,200,000$	3,200,000$	No
Scott Gillis	Syracuse Bulls	G	31	9/3/1987	No	235 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	600,000$	600,000$	600,000$	No
Shawn Rosson	Syracuse Bulls	D	29	12/15/1989	No	226 Lbs	6 ft7	No	No	No	4	Sans Restriction	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	No
Tyler Beard	Syracuse Bulls	RW	29	9/13/1989	No	195 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	501,000$	501,000$	501,000$	No
Tyler Lisowe	Syracuse Bulls	LW	21	1/10/1998	No	205 Lbs	6 ft6	No	No	No	2	Contrat d'Entrée	Pro & Farm	553,846$	553,846$	553,846$	No
Tyson Avendano	Syracuse Bulls	G	24	10/26/1994	No	162 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	455,000$	455,000$	455,000$	No
Vaughn Rehagen	Syracuse Bulls	D	22	12/9/1996	No	196 Lbs	6 ft5	No	No	No	1	Contrat d'Entrée	Pro & Farm	243,646$	243,646$	243,646$	No
Walter Pyne	Syracuse Bulls	D	31	3/28/1987	No	245 Lbs	6 ft6	No	No	No	2	Sans Restriction	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	No
Will Lifland	Syracuse Bulls	D	30	11/24/1988	No	240 Lbs	6 ft7	No	No	No	2	Sans Restriction	Pro & Farm	1,275,000$	1,275,000$	1,275,000$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
25	26.76	204 Lbs	6 ft3	2.32	938,301$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
23,457,522$	21,267,529$	7,150,673$	4,351,923$	2,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Wittenmyer	Greg Sortino	Kyle Singleton	40	1	2	2
2	Dennis Kubik	Brandon Clark	Jacob Bear	30	1	2	2
3	Tyler Lisowe	Preston Seher	Christopher Rogowski	20	1	2	2
4	Ross Stanard	Christian Montross	Tyler Beard	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Will Lifland	Walter Pyne	40	1	2	2
2	Shawn Rosson	Vaughn Rehagen	30	1	2	2
3	Frank Cullum	Crayden Guderjahn	20	1	2	2
4	Will Lifland	Walter Pyne	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Wittenmyer	Greg Sortino	Kyle Singleton	60	1	2	2
2	Dennis Kubik	Brandon Clark	Jacob Bear	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Will Lifland	Walter Pyne	60	1	2	2
2	Shawn Rosson	Vaughn Rehagen	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Greg Sortino	Ryan Wittenmyer	60	1	2	2
2	Kyle Singleton	Dennis Kubik	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Will Lifland	Walter Pyne	60	1	2	2
2	Shawn Rosson	Vaughn Rehagen	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Greg Sortino	60	1	2	2	Will Lifland	Walter Pyne	60	1	2	2
2	Ryan Wittenmyer	40	1	2	2	Shawn Rosson	Vaughn Rehagen	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Greg Sortino	Ryan Wittenmyer	60	1	2	2
2	Kyle Singleton	Dennis Kubik	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Will Lifland	Walter Pyne	60	1	2	2
2	Shawn Rosson	Vaughn Rehagen	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ryan Wittenmyer	Greg Sortino	Kyle Singleton	Will Lifland	Walter Pyne

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ryan Wittenmyer	Greg Sortino	Kyle Singleton	Will Lifland	Walter Pyne

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Lisowe, Ross Stanard, Christopher Rogowski	Tyler Lisowe, Ross Stanard	Christopher Rogowski

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Frank Cullum, Crayden Guderjahn, Shawn Rosson	Frank Cullum	Crayden Guderjahn, Shawn Rosson

Tirs de Pénalité
Greg Sortino, Ryan Wittenmyer, Kyle Singleton, Dennis Kubik, Jacob Bear

Gardien
#1 : Tyson Avendano, #2 : Scott Gillis

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

	Ligue												Domicile											Visiteur
#	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les Matchs
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Matchs locaux
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Matchs Éxtérieurs
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Derniers 10 Matchs
W	L	OTW	OTL	T
0	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
0	0	0.00%	0	0	0.00%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
0	0	0	0	0	0	0	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
0	0	0.00%	0	0	0.00%	0	0	0.00%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
0	0	0	0	0	0

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	2350	1550	1200	900	1050
Prix des Billets	131	87	70	44	232
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
40	0 - 0.00%	0$	0$	7050	90

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	21,607,522$	21,607,522$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	842,589$	23	2

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	14	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	11,165,238$	11,165,238$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Ryan Wittenmyer	AGE:28	PO:4	OV:84
Dennis Kubik	AGE:25	PO:25	OV:75
Ross Stanard	AGE:21	PO:49	OV:71
Tyler Lisowe	AGE:21	PO:40	OV:71
Don Hedeen	AGE:29	PO:31	OV:71
Richard Lundquist	AGE:36	PO:29	OV:70
Brock Nazareno	AGE:28	PO:6	OV:70
Perry Loparo	AGE:31	PO:1	OV:70
Byron McChriston	AGE:28	PO:26	OV:67
*Max Snow	AGE:19	PO:42	OV:62
Owen Buckley	AGE:25	PO:35	OV:62
Rory Skibinski	AGE:21	PO:50	OV:59
*Jordan Budnik	AGE:19	PO:54	OV:57

Greg Sortino	AGE:29	PO:30	OV:84
Brandon Clark	AGE:20	PO:48	OV:71
Christian Montross	AGE:19	PO:46	OV:69
Preston Seher	AGE:21	PO:41	OV:69
Josh Stommes	AGE:25	PO:36	OV:69
Ed Pote	AGE:31	PO:5	OV:69
Lee Buesing	AGE:21	PO:58	OV:66
*Jim Schofield	AGE:18	PO:79	OV:64
*Chris Stehlik	AGE:18	PO:55	OV:61
Clayton Ross	AGE:23	PO:28	OV:61
Grayson McClaren	AGE:26	PO:22	OV:61
*Randy Meres	AGE:19	PO:66	OV:60
Paul Antoniewicz	AGE:21	PO:51	OV:58

Kyle Singleton	AGE:23	PO:65	OV:81
*Jacob Bear	AGE:19	PO:49	OV:74
Nicholas Blanchard	AGE:32	PO:36	OV:69
Christopher Rogowski	AGE:24	PO:23	OV:69
Jayden Shetley	AGE:22	PO:50	OV:67
Adam Tuttle	AGE:34	PO:27	OV:67
Tyler Beard	AGE:29	PO:24	OV:67
Brent Strauss	AGE:20	PO:42	OV:65
Greg Brown	AGE:23	PO:35	OV:62
Scott Pospisil	AGE:30	PO:37	OV:61
Travis Dobbins	AGE:23	PO:63	OV:59
Jose-Antoine Bergeron	AGE:21	PO:58	OV:57

Défense #1

Défense #2

Gardien

Will Lifland	AGE:30	PO:10	OV:79
Aaron Downey	AGE:37	PO:18	OV:75
Walter Pyne	AGE:31	PO:39	OV:74
Shawn Rosson	AGE:29	PO:10	OV:74
Rick Zettler	AGE:20	PO:51	OV:69
Vaughn Rehagen	AGE:22	PO:44	OV:69
Frank Cullum	AGE:31	PO:35	OV:68
Alex Ketola	AGE:29	PO:25	OV:68
Crayden Guderjahn	AGE:28	PO:24	OV:68

Troy Wooldridge	AGE:29	PO:14	OV:67
Tyler Sund	AGE:27	PO:30	OV:66
*Cody Beck	AGE:19	PO:46	OV:64
Andrew Bergman	AGE:19	PO:46	OV:62
Steven Hoshaw	AGE:28	PO:45	OV:62
Josh Monk	AGE:26	PO:57	OV:61
Michel Jiron	AGE:21	PO:66	OV:60
Scot Daehler	AGE:21	PO:49	OV:60
Josh Elvington	AGE:21	PO:68	OV:59

Tyson Avendano	AGE:24	PO:56	OV:79
Scott Gillis	AGE:31	PO:55	OV:77
Neal Velarde	AGE:22	PO:36	OV:77
Ryan Grossack	AGE:25	PO:42	OV:76
Cory Kleinfelder	AGE:27	PO:51	OV:72
Dylan Wallgren	AGE:25	PO:43	OV:70

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
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
10	text	Any text entered in the filter will match text found within the column

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information	Lien

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
17	Syr	Syr	Syr	Syr		Ric Syr	Syr	Syr
18	Syr	Syr	Syr	Syr	Syr	Syr	Syr	Syr
19	Syr	Syr	Syr	Syr	Syr	Syr	Syr	Syr
20	Syr	Syr	Syr	Syr	Syr	Syr	Syr	Syr
21	Syr	Syr	Syr	Syr	Syr	Syr	Syr	Syr

[9/2/2019 1:31:47 PM] - Syracuse Bulls didn't make playoff for year 16.
[8/30/2019 9:00:29 PM] - TRADE : From Syracuse Bulls to Richmond Robins : Collin Lee (75).
[8/30/2019 9:00:29 PM] - TRADE : From Richmond Robins to Syracuse Bulls : Y:17-RND:6-Ric.
[8/30/2019 8:59:07 PM] - TRADE : From Portland Wolves to Syracuse Bulls : Collin Lee (75), Jim Schofield (64), Andrew Bergman (62).
[8/30/2019 8:59:07 PM] - TRADE : From Syracuse Bulls to Portland Wolves : Nathan Maynard (64), Y:17-RND:5-Syr.
[7/1/2019 1:26:36 PM] - Brock Nazareno was added to Syracuse Bulls.
[7/1/2019 1:26:36 PM] - Syracuse Bulls claimed Brock Nazareno from waivers by Worcester Plainsmen for $0.
[7/1/2019 1:24:55 PM] - Syracuse Bulls show interest in Brock Nazareno from waiver.
[6/13/2019 11:35:48 PM] - Luke Kimmer was released.
[6/13/2019 11:35:48 PM] - Syracuse Bulls paid $0 to release Luke Kimmer.
[6/13/2019 11:35:45 PM] - Derek Purcell was released.
[6/13/2019 11:35:45 PM] - Syracuse Bulls paid $0 to release Derek Purcell.
[6/13/2019 11:35:43 PM] - Christopher Custis was released.
[6/13/2019 11:35:43 PM] - Syracuse Bulls paid $0 to release Christopher Custis.
[6/13/2019 11:35:40 PM] - Blaine Klimko was released.
[6/13/2019 11:35:40 PM] - Syracuse Bulls paid $0 to release Blaine Klimko.
[6/10/2019 9:50:06 PM] - Joel Eatman was released.
[6/10/2019 9:50:06 PM] - Nicholas Kraatz was released.
[6/9/2019 11:41:49 AM] - Cory Kleinfelder signed with Syracuse Bulls for $275,000 for 1 year(s).
[6/9/2019 11:41:49 AM] - Cory Kleinfelder was added to Syracuse Bulls.
[6/9/2019 12:46:06 AM] - Scott Pospisil signed with Syracuse Bulls for $320,000 for 1 year(s).
[6/9/2019 12:46:06 AM] - Scott Pospisil was added to Syracuse Bulls.
[6/9/2019 12:45:53 AM] - Troy Wooldridge signed with Syracuse Bulls for $450,000 for 2 year(s).
[6/9/2019 12:45:53 AM] - Troy Wooldridge was added to Syracuse Bulls.
[6/9/2019 12:45:39 AM] - Frank Cullum signed with Syracuse Bulls for $482,500 for 2 year(s).
[6/9/2019 12:45:39 AM] - Frank Cullum was added to Syracuse Bulls.
[6/9/2019 12:45:22 AM] - Crayden Guderjahn signed with Syracuse Bulls for $550,000 for 3 year(s).
[6/9/2019 12:45:22 AM] - Crayden Guderjahn was added to Syracuse Bulls.
[6/7/2019 10:54:40 PM] - Adam Tuttle signed with Syracuse Bulls for $425,000 for 1 year(s).
[6/7/2019 10:54:40 PM] - Adam Tuttle was added to Syracuse Bulls.
[6/7/2019 10:54:29 PM] - Nicholas Blanchard signed with Syracuse Bulls for $500,000 for 2 year(s).
[6/7/2019 10:54:29 PM] - Nicholas Blanchard was added to Syracuse Bulls.
[6/7/2019 8:52:58 PM] - Byron McChriston signed with Syracuse Bulls for $400,000 for 1 year(s).
[6/7/2019 8:52:58 PM] - Byron McChriston was added to Syracuse Bulls.
[6/7/2019 8:52:46 PM] - Richard Lundquist signed with Syracuse Bulls for $615,000 for 1 year(s).
[6/7/2019 8:52:46 PM] - Richard Lundquist was added to Syracuse Bulls.
[6/5/2019 9:46:42 PM] - Ed Pote signed with Syracuse Bulls for $510,000 for 2 year(s).
[6/5/2019 9:46:42 PM] - Ed Pote was added to Syracuse Bulls.
[6/5/2019 12:17:24 AM] - Grayson McClaren signed with Syracuse Bulls for $315,000 for 1 year(s).
[6/5/2019 12:17:24 AM] - Grayson McClaren was added to Syracuse Bulls.
[6/5/2019 12:17:07 AM] - Josh Stommes signed with Syracuse Bulls for $525,000 for 1 year(s).
[6/5/2019 12:17:07 AM] - Josh Stommes was added to Syracuse Bulls.
[6/2/2019 2:59:45 PM] - Jordan Budnik was added to Syracuse Bulls.

[9/2/2019 1:31:47 PM] Don Hedeen from Watertown Bulls is back from Exhaustion.
[9/2/2019 1:31:47 PM] Ed Pote from Watertown Bulls is back from Exhaustion.
[9/2/2019 1:26:50 PM] Watertown Bulls lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:49 PM] Alex Ketola from Watertown Bulls is injured from Exhaustion.
[9/2/2019 1:26:49 PM] Ed Pote from Watertown Bulls is injured from Exhaustion.
[9/2/2019 1:26:48 PM] Auto Lines Function has been run for Watertown Bulls.
[9/2/2019 1:26:48 PM] Auto Roster Farm Only Function has been run for Syracuse Bulls.
[9/2/2019 1:26:48 PM] Watertown Bulls lines for next game are empty. Current rosters/lines are not erased.
[9/2/2019 1:26:48 PM] Don Hedeen from Watertown Bulls is injured from Exhaustion.
[9/2/2019 1:26:48 PM] Game 1070 - Rick Zettler from Watertown Bulls is injured (Sprained Right Ankle) and is out for 1 week.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Watertown Bulls.
[9/2/2019 1:26:39 PM] Auto Lines Function has been run for Syracuse Bulls.

Aaron Downey est dehors pour 3 jours à cause de Head Injury.
Nicholas Blanchard est dehors pour 2 semaines à cause de Broken Right Foot Toe Injury.
Alex Ketola est dehors pour 0 jours à cause de Exhaustion.
Rick Zettler est dehors pour 5 jours à cause de Sprained Right Ankle Injury.

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
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
16	80	24	37	10	4	5	0	0	228	286	-58	40	17	14	4	3	2	0	0	118	117	1	40	7	23	6	1	3	0	0	110	169	-59	58	228	393	621	1	0	69	81	74	4	2338	773	798	743	24	2545	866	1411	1642	312	51	16.35%	573	109	80.98%	15	819	1793	45.68%	1028	2136	48.13%	550	1163	47.29%	1657	916	1813	778	1397	667
07-08	80	23	39	10	5	3	0	0	243	279	-36	40	11	18	5	4	2	0	0	125	131	-6	40	12	21	5	1	1	0	0	118	148	-30	56	243	400	643	0	1	71	88	79	5	2618	932	865	789	32	2689	854	2195	2050	291	37	12.71%	312	59	81.09%	7	1028	2048	50.20%	952	1895	50.24%	663	1401	47.32%	1670	885	1649	785	1543	771
08-09	80	37	29	10	0	4	0	0	294	266	28	40	21	12	5	0	2	0	0	148	120	28	40	16	17	5	0	2	0	0	146	146	0	84	294	496	790	1	0	100	112	82	0	2790	986	945	851	8	2715	923	983	1848	289	45	15.57%	278	33	88.13%	8	974	1978	49.24%	948	1905	49.76%	691	1409	49.04%	1691	923	3516	1655	1499	748
09-10	80	29	31	9	7	4	0	0	296	299	-3	40	18	10	4	6	2	0	0	159	130	29	40	11	21	5	1	2	0	0	137	169	-32	67	296	510	806	0	0	99	102	88	7	2761	952	903	883	23	2832	868	1154	1834	303	39	12.87%	291	54	81.44%	10	994	2036	48.82%	957	1909	50.13%	723	1493	48.43%	1703	934	5529	2571	1494	748
10-11	80	28	32	14	3	3	0	0	295	309	-14	40	16	17	5	1	1	0	0	156	152	4	40	12	15	9	2	2	0	0	139	157	-18	70	295	483	778	2	1	94	105	93	3	2720	917	928	850	25	2725	913	960	1834	254	46	18.11%	340	58	82.94%	4	1011	2028	49.85%	1009	2048	49.27%	615	1303	47.20%	1686	926	1721	775	1474	720
11-12	80	32	30	13	2	3	0	0	258	267	-9	40	22	13	5	0	0	0	0	142	125	17	40	10	17	8	2	3	0	0	116	142	-26	77	258	429	687	4	0	96	90	70	2	2625	981	861	764	19	2664	916	807	1798	319	59	18.50%	333	55	83.48%	1	970	2016	48.12%	920	1919	47.94%	520	1194	43.55%	1699	935	1705	770	1467	727
12-13	80	37	32	6	2	3	0	0	294	296	-2	40	24	9	3	1	3	0	0	171	138	33	40	13	23	3	1	0	0	0	123	158	-35	80	294	497	791	1	0	99	101	92	2	2756	940	942	860	14	2720	946	1199	1786	310	52	16.77%	375	64	82.93%	2	907	2022	44.86%	896	2053	43.64%	600	1301	46.12%	1687	940	1728	758	1420	693
13-14	80	25	37	16	0	2	0	0	256	279	-23	40	13	18	8	0	1	0	0	122	132	-10	40	12	19	8	0	1	0	0	134	147	-13	66	256	427	683	2	0	90	85	81	0	2670	1001	852	791	26	2693	930	1747	1744	394	63	15.99%	468	79	83.12%	8	993	2135	46.51%	997	2156	46.24%	617	1249	49.40%	1703	928	1728	788	1453	712
14-15	80	34	32	7	2	5	0	0	287	268	19	40	14	18	4	1	3	0	0	139	137	2	40	20	14	3	1	2	0	0	148	131	17	75	287	477	764	3	3	102	104	79	2	2824	1046	917	843	18	2642	907	1389	1696	376	63	16.76%	452	77	82.96%	11	1059	2146	49.35%	1075	2208	48.69%	612	1255	48.76%	1710	953	1719	775	1422	688
15-16	80	37	30	4	2	7	0	0	272	269	3	40	22	13	2	1	2	0	0	137	123	14	40	15	17	2	1	5	0	0	135	146	-11	78	272	474	746	0	0	81	96	93	2	2780	973	881	909	17	2719	906	1107	1674	361	62	17.17%	492	77	84.35%	11	1116	2189	50.98%	1047	2236	46.82%	544	1204	45.18%	1708	958	1732	769	1399	678
16-17	80	26	36	11	4	3	0	0	251	279	-28	40	11	21	6	2	0	0	0	116	142	-26	40	15	15	5	2	3	0	0	135	137	-2	63	251	436	687	2	0	73	91	83	4	2420	810	825	756	29	2498	793	1273	1703	317	57	17.98%	428	76	82.24%	5	947	1903	49.76%	984	2041	48.21%	569	1189	47.86%	1732	976	1727	755	1411	696
17-18	80	28	37	8	4	3	0	0	246	268	-22	40	15	20	1	3	1	0	0	121	130	-9	40	13	17	7	1	2	0	0	125	138	-13	64	246	409	655	1	1	76	76	90	4	2284	805	706	754	19	2527	839	1493	1745	293	50	17.06%	457	89	80.53%	3	885	1877	47.15%	971	2130	45.59%	572	1208	47.35%	1676	938	1781	760	1393	672
Total Saison Régulière	960	360	402	118	35	45	0	0	3220	3365	-145	480	204	183	52	22	19	0	0	1654	1577	77	480	156	219	66	13	26	0	0	1566	1788	-222	838	3220	5431	8651	17	6	1050	1131	1004	35	31586	11116	10423	9793	254	31969	10661	15718	21354	3819	624	16.34%	4799	830	82.70%	85	11703	24171	48.42%	11784	24636	47.83%	7276	15369	47.34%	20327	11219	26355	11944	17377	8526