NorthEastern Hockey League Testing - Binghamton Roadrunners

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

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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	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 Hughes		X			100.00	47	1	99	65	76	85	74	99	99	99	99	92	99	99	99	3	52	83	0
2	Howard Frisco			X		99.50	99	53	35	54	84	72	61	99	99	99	99	87	89	99	99	37	52	81	0
3	Cameron Hain	X				100.00	7	1	99	67	74	68	62	99	84	99	99	71	81	99	91	13	52	78	0
4	Jesse Nimmo			X		100.00	91	81	27	72	62	87	68	84	84	84	95	65	70	86	99	41	52	75	0
5	Alan Stepp	X				100.00	36	21	99	71	68	92	65	82	2	84	96	73	70	80	55	57	53	73	0
6	Alan Landrus			X		100.00	92	38	62	75	73	82	69	89	47	89	97	1	79	99	94	35	52	71	0
7	Anthony Comans			X		100.00	8	1	99	81	69	56	44	83	32	83	80	76	50	99	74	63	52	70	0
8	Shaun Pearson		X			100.00	99	35	21	75	69	89	47	76	37	63	91	62	70	71	99	70	53	70	0
9	Brendan Pomerleau		X			100.00	22	1	99	76	77	96	88	78	81	61	90	46	50	99	68	24	52	69	0
10	Drew Kagel	X				100.00	85	58	5	65	66	75	52	81	49	73	86	68	70	99	58	33	52	69	0
11	Garrett Brayer	X				100.00	17	12	99	70	75	83	63	76	73	67	82	65	70	98	90	33	52	69	0
12	Nicolas Perrault		X			100.00	52	12	99	67	80	94	79	70	58	73	85	50	50	96	53	51	52	68	0
13	Vaughn Felber				X	100.00	11	1	99	75	76	99	82	99	36	98	99	94	82	99	99	9	53	81	0
14	Kirk Simms				X	100.00	52	32	66	66	76	85	80	76	13	59	85	85	50	95	99	58	52	73	0
15	Corey Thorne				X	100.00	62	46	51	77	65	84	83	82	50	80	63	59	70	72	99	37	52	70	0
16	Chris Bradley				X	100.00	53	40	70	71	70	85	90	71	18	45	30	83	55	94	76	45	52	69	0
17	Dean Siemens				X	100.00	46	1	99	59	80	50	65	83	26	46	54	90	50	99	80	13	55	68	0
18	Peter Telly				X	100.00	1	1	99	58	79	24	40	98	54	92	87	77	72	99	99	13	55	67	0
Rayé

	MOYENNE D'ÉQUIPE					99.97	49	24	74	69	73	78	67	85	52	77	84	69	68	93	85	35	53	72

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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	Scot Wickersham	100.00	79	92	72	83	75	80	77	73	81	72	62	67	91	45	52	77	0
2	Kyle Cavagnaro	100.00	84	84	84	73	78	83	81	67	82	62	55	68	91	45	52	76	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	82	88	78	78	77	82	79	70	82	67	59	68	91	45	52	77

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Phil Bailey	78	72	83	68	77	77	58	USA	43	3	400,000$

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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	FO%	FOT	GA	TA	HT	P/20	FL	FT	S1	S2	S3
1	Ryan Hughes	Binghamton Roadrunners	LW	6	5	3	8	-1	0	0	7	14	22	14	15	22.73%	4	141	23.61	2	1	3	7	28	1	0	1	2	22	1	68.00%	50	3	4	1	1.13	0	0	2	0	0
2	Alan Stepp	Binghamton Roadrunners	C	6	2	5	7	0	0	0	4	7	14	6	8	14.29%	4	99	16.54	0	1	1	0	18	0	0	0	0	4	0	21.52%	79	2	1	0	1.41	0	0	1	1	0
3	Jesse Nimmo	Binghamton Roadrunners	RW	6	4	2	6	0	5	5	17	7	22	10	11	18.18%	2	103	17.30	1	1	2	4	18	0	0	0	0	8	0	50.00%	4	1	1	1	1.16	1	0	1	0	0
4	Vaughn Felber	Binghamton Roadrunners	D	6	2	4	6	2	0	0	1	9	16	8	11	12.50%	5	176	29.39	2	1	3	6	30	0	1	1	0	24	1	0.00%	0	7	7	0	0.68	0	0	0	0	2
5	Cameron Hain	Binghamton Roadrunners	C	6	2	3	5	-3	0	0	3	13	24	7	15	8.33%	1	124	20.80	1	2	3	6	27	0	0	0	0	8	0	57.81%	192	8	1	0	0.80	0	0	0	0	0
6	Kirk Simms	Binghamton Roadrunners	D	6	0	5	5	1	4	0	8	9	6	7	5	0.00%	9	172	28.80	0	4	4	3	30	0	0	0	1	21	0	0.00%	0	2	3	0	0.58	0	0	0	0	0
7	Alan Landrus	Binghamton Roadrunners	RW	6	3	1	4	3	7	5	12	0	16	7	7	18.75%	0	65	10.88	0	0	0	0	1	0	0	0	0	0	0	0.00%	1	4	0	0	1.23	0	1	0	0	1
8	Howard Frisco	Binghamton Roadrunners	RW	6	0	3	3	-1	14	0	15	10	12	3	10	0.00%	3	134	22.37	0	0	0	3	28	0	1	1	1	15	0	61.11%	18	1	2	0	0.45	0	0	0	1	0
9	Anthony Comans	Binghamton Roadrunners	RW	6	2	1	3	1	0	0	0	1	13	2	7	15.38%	1	45	7.64	0	0	0	0	0	0	0	0	0	0	1	0.00%	1	1	2	0	1.31	0	0	0	1	0
10	Drew Kagel	Binghamton Roadrunners	C	6	2	1	3	3	10	0	12	6	9	2	1	22.22%	1	66	11.14	0	0	0	0	0	0	0	0	0	7	1	61.76%	34	1	0	0	0.90	0	0	0	0	0
11	Garrett Brayer	Binghamton Roadrunners	C	6	1	2	3	1	0	0	0	4	7	1	4	14.29%	1	46	7.80	0	0	0	0	0	0	0	0	0	1	0	47.62%	21	0	0	0	1.28	0	0	0	0	1
12	Shaun Pearson	Binghamton Roadrunners	LW	6	2	1	3	0	14	0	12	3	12	3	7	16.67%	0	95	15.85	1	1	2	1	18	0	0	0	0	0	0	50.00%	2	1	0	0	0.63	0	0	0	0	0
13	Brendan Pomerleau	Binghamton Roadrunners	LW	6	0	2	2	3	0	0	1	2	4	1	3	0.00%	2	69	11.52	0	0	0	0	0	0	0	0	0	7	0	66.67%	3	0	2	0	0.58	0	0	0	0	0
14	Dean Siemens	Binghamton Roadrunners	D	1	0	1	1	1	0	0	0	1	0	0	0	0.00%	0	12	12.42	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	1.61	0	0	0	0	0
15	Nicolas Perrault	Binghamton Roadrunners	LW	6	0	1	1	1	0	0	2	1	3	1	0	0.00%	0	43	7.31	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	0	0	0.46	0	0	0	0	0
16	Roderick Rose	Elmira Roadrunners (Bin)	D	5	0	1	1	1	0	0	0	3	4	1	1	0.00%	4	54	10.95	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	2	0	0.37	0	0	0	0	0
17	Corey Thorne	Binghamton Roadrunners	D	6	0	1	1	-1	13	5	8	7	7	2	2	0.00%	10	113	18.91	0	0	0	1	17	0	0	0	0	11	0	0.00%	0	0	1	0	0.18	1	0	0	0	0
18	Chris Bradley	Binghamton Roadrunners	D	6	0	0	0	0	0	0	3	3	3	3	3	0.00%	8	120	20.05	0	0	0	0	17	0	0	0	0	14	0	0.00%	0	1	1	0	0.00	0	0	0	0	0
19	Peter Telly	Binghamton Roadrunners	D	1	0	0	0	1	0	0	0	2	1	0	0	0.00%	0	14	14.87	0	0	0	0	0	0	0	0	0	2	0	0.00%	0	1	1	0	0.00	0	0	0	0	0
20	Brett Sanft	Elmira Roadrunners (Bin)	D	5	0	0	0	1	0	0	4	3	0	0	0	0.00%	0	55	11.09	0	0	0	0	0	0	0	0	0	1	0	0.00%	0	0	2	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				108	25	37	62	13	67	15	109	105	195	78	110	12.82%	55	1756	16.27	7	11	18	31	239	1	2	3	4	153	4	51.60%	405	33	30	2	0.71	2	1	4	3	4

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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	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
1	Scot Wickersham	Binghamton Roadrunners	6	4	2	0	0.907	3.35	358	0	0	20	214	98	1	0	0.000	0	6	0	0	0	0
Stats d'équipe Total ou en Moyenne			6	4	2	0	0.907	3.35	358	0	0	20	214	98	1	0	0.000	0	6	0	0	0	0

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	CONT	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3
Alan Landrus	Binghamton Roadrunners	RW	26	6/7/1991	No	177 Lbs	6 ft4	No	No	No	3	Avec Restriction	Pro & Farm	565,000$	565,000$	565,000$
Alan Stepp	Binghamton Roadrunners	C	20	5/19/1997	No	195 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	538,462$	538,462$
Anthony Comans	Binghamton Roadrunners	RW	24	12/3/1992	No	161 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	425,000$	425,000$
Brendan Pomerleau	Binghamton Roadrunners	LW	24	7/19/1992	No	185 Lbs	6 ft6	No	No	No	1	Avec Restriction	Pro & Farm	419,100$
Cameron Hain	Binghamton Roadrunners	C	28	11/1/1988	No	199 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	1,350,000$	1,350,000$
Chris Bradley	Binghamton Roadrunners	D	24	5/20/1993	No	205 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	468,606$	468,606$
Corey Thorne	Binghamton Roadrunners	D	20	5/27/1997	No	176 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	437,885$	437,885$
Dean Siemens	Binghamton Roadrunners	D	28	1/20/1989	No	225 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	438,000$	438,000$	438,000$
Drew Kagel	Binghamton Roadrunners	C	22	9/24/1994	No	218 Lbs	6 ft5	No	No	No	3	Contrat d'Entrée	Pro & Farm	475,000$	475,000$	475,000$
Garrett Brayer	Binghamton Roadrunners	C	22	2/2/1995	No	191 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	475,000$	475,000$	475,000$
Howard Frisco	Binghamton Roadrunners	RW	32	1/26/1985	No	245 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	2,825,000$	2,825,000$	2,825,000$
Jesse Nimmo	Binghamton Roadrunners	RW	19	5/18/1998	No	180 Lbs	6 ft5	No	No	No	3	Contrat d'Entrée	Pro & Farm	594,231$	594,231$	594,231$
Kirk Simms	Binghamton Roadrunners	D	25	2/20/1992	No	200 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	650,000$	650,000$
Kyle Cavagnaro	Binghamton Roadrunners	D	22	10/27/1994	No	177 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	441,000$	441,000$	441,000$
Nicolas Perrault	Binghamton Roadrunners	LW	24	3/15/1993	No	208 Lbs	6 ft4	No	No	No	2	Avec Restriction	Pro & Farm	425,000$	425,000$
Peter Telly	Binghamton Roadrunners	D	28	10/1/1988	No	225 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	464,000$	464,000$	464,000$
Ryan Hughes	Binghamton Roadrunners	LW	37	11/12/1979	No	202 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	2,602,000$	2,602,000$	2,602,000$
Scot Wickersham	Binghamton Roadrunners	C	23	6/1/1994	No	211 Lbs	6 ft8	No	No	No	3	Avec Restriction	Pro & Farm	450,000$	450,000$	450,000$
Shaun Pearson	Binghamton Roadrunners	LW	21	11/9/1995	No	182 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	485,000$
Vaughn Felber	Binghamton Roadrunners	D	27	5/15/1990	No	185 Lbs	6 ft7	No	No	No	3	Avec Restriction	Pro & Farm	2,200,000$	2,200,000$	2,200,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	24.80	197 Lbs	6 ft3	2.45	836,414$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
16,728,284$	15,824,184$	11,529,231$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Hughes	Cameron Hain	Howard Frisco	40	1	2	2
2	Shaun Pearson	Alan Stepp	Jesse Nimmo	30	1	2	2
3	Brendan Pomerleau	Garrett Brayer	Alan Landrus	20	1	2	2
4	Nicolas Perrault	Drew Kagel	Anthony Comans	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vaughn Felber	Kirk Simms	40	1	2	2
2	Corey Thorne	Chris Bradley	30	1	2	2
3	Dean Siemens	Peter Telly	20	1	2	2
4	Vaughn Felber	Kirk Simms	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Hughes	Cameron Hain	Howard Frisco	60	1	2	2
2	Shaun Pearson	Alan Stepp	Jesse Nimmo	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vaughn Felber	Kirk Simms	60	1	2	2
2	Corey Thorne	Chris Bradley	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Hughes	Howard Frisco	60	1	2	2
2	Cameron Hain	Jesse Nimmo	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vaughn Felber	Kirk Simms	60	1	2	2
2	Corey Thorne	Chris Bradley	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Hughes	60	1	2	2	Vaughn Felber	Kirk Simms	60	1	2	2
2	Howard Frisco	40	1	2	2	Corey Thorne	Chris Bradley	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Hughes	Howard Frisco	60	1	2	2
2	Cameron Hain	Jesse Nimmo	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Vaughn Felber	Kirk Simms	60	1	2	2
2	Corey Thorne	Chris Bradley	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ryan Hughes	Cameron Hain	Howard Frisco	Vaughn Felber	Kirk Simms

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ryan Hughes	Cameron Hain	Howard Frisco	Vaughn Felber	Kirk Simms

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alan Landrus, Anthony Comans, Garrett Brayer	Alan Landrus, Anthony Comans	Garrett Brayer

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dean Siemens, Peter Telly, Corey Thorne	Dean Siemens	Peter Telly, Corey Thorne

Tirs de Pénalité
Ryan Hughes, Howard Frisco, Cameron Hain, Jesse Nimmo, Alan Stepp

Gardien
#1 : Scot Wickersham, #2 : Kyle Cavagnaro

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
1	Burlington Cougars	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	5	9	0	0	1	0	3	0	41	9	14	18	0	25	7	8	19	7	1	14.29%	4	0	100.00%	0	69	147	46.94%	89	151	58.94%	51	107	47.66%	23	13	18	9	17	9
2	Ottawa Spartans	2	1	1	0	0	0	0	0	9	8	1	2	1	1	0	0	0	0	0	9	8	1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	9	14	23	0	0	2	2	5	0	61	19	19	23	0	81	19	26	37	9	3	33.33%	8	1	87.50%	0	69	147	46.94%	89	151	58.94%	51	107	47.66%	42	24	42	18	35	17
3	Quebec Cavaliers	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	7	12	0	0	1	4	0	0	27	9	13	5	0	37	12	12	21	5	2	40.00%	6	2	66.67%	0	69	147	46.94%	89	151	58.94%	51	107	47.66%	19	11	22	9	17	8
	Since Last GM Reset	6	4	2	0	0	0	0	0	25	20	5	4	3	1	0	0	0	0	0	19	15	4	2	1	1	0	0	0	0	0	6	5	1	8	0.667	25	37	62	0	0	8	7	10	0	195	69	61	65	0	214	55	67	109	33	7	21.21%	26	5	80.77%	1	69	147	46.94%	89	151	58.94%	51	107	47.66%	129	74	126	56	103	52
5	Syracuse Bulls	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	11	18	0	0	4	1	2	0	66	32	15	19	0	71	17	21	32	12	1	8.33%	8	2	75.00%	1	69	147	46.94%	89	151	58.94%	51	107	47.66%	43	25	43	18	32	16
	Total	6	4	2	0	0	0	0	0	25	20	5	4	3	1	0	0	0	0	0	19	15	4	2	1	1	0	0	0	0	0	6	5	1	8	0.667	25	37	62	0	0	8	7	10	0	195	69	61	65	0	214	55	67	109	33	7	21.21%	26	5	80.77%	1	69	147	46.94%	89	151	58.94%	51	107	47.66%	129	74	126	56	103	52
	Vs Conference	6	4	2	0	0	0	0	0	25	20	5	4	3	1	0	0	0	0	0	19	15	4	2	1	1	0	0	0	0	0	6	5	1	8	0.667	25	37	62	0	0	8	7	10	0	195	69	61	65	0	214	55	67	109	33	7	21.21%	26	5	80.77%	1	69	147	46.94%	89	151	58.94%	51	107	47.66%	129	74	126	56	103	52
	Vs Division	6	4	2	0	0	0	0	0	25	20	5	4	3	1	0	0	0	0	0	19	15	4	2	1	1	0	0	0	0	0	6	5	1	8	0.667	25	37	62	0	0	8	7	10	0	195	69	61	65	0	214	55	67	109	33	7	21.21%	26	5	80.77%	1	69	147	46.94%	89	151	58.94%	51	107	47.66%	129	74	126	56	103	52

			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
6	8	W3	25	37	62	195	214	55	67	109	0	0

Tous les Matchs
GP	W	L	OTW	OTL	T	GF	GA
6	4	2	0	0	0	25	20

Matchs locaux
GP	W	L	OTW	OTL	T	GF	GA
4	3	1	0	0	0	19	15

Matchs Éxtérieurs
GP	W	L	OTW	OTL	T	GF	GA
2	1	1	0	0	0	6	5

Derniers 10 Matchs
W	L	OTW	OTL	T
4	2	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
33	7	21.21%	26	5	80.77%	1

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
69	61	65	0	8	7	10	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
69	147	46.94%	89	151	58.94%	51	107	47.66%

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
129	74	126	56	103	52

Derniers Match Joués

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	Lien
2 - 2017-12-10	11	Ottawa Spartans	4	Binghamton Roadrunners	3	L	Sommaire du Match
8 - 2017-12-16	36	Ottawa Spartans	4	Binghamton Roadrunners	6	W	Sommaire du Match
10 - 2017-12-18	47	Binghamton Roadrunners	2	Syracuse Bulls	3	L	Sommaire du Match
12 - 2017-12-20	57	Syracuse Bulls	3	Binghamton Roadrunners	5	W	Sommaire du Match
14 - 2017-12-22	72	Binghamton Roadrunners	4	Burlington Cougars	2	W	Sommaire du Match
16 - 2017-12-24	84	Quebec Cavaliers	4	Binghamton Roadrunners	5	W	Sommaire du Match
20 - 2017-12-28	100	Binghamton Roadrunners	-	Quebec Cavaliers	-
23 - 2017-12-31	117	Burlington Cougars	-	Binghamton Roadrunners	-
25 - 2018-01-02	128	Binghamton Roadrunners	-	Ottawa Spartans	-
27 - 2018-01-04	139	Albany Indians	-	Binghamton Roadrunners	-
30 - 2018-01-07	156	Binghamton Roadrunners	-	Pittsburgh Yellow Jackets	-
32 - 2018-01-09	165	Binghamton Roadrunners	-	Boston Eagles	-
33 - 2018-01-10	174	Virginia Mariners	-	Binghamton Roadrunners	-
36 - 2018-01-13	191	Binghamton Roadrunners	-	Rochester Lakers	-
38 - 2018-01-15	198	Philadelphia Patriots	-	Binghamton Roadrunners	-
40 - 2018-01-17	207	Binghamton Roadrunners	-	Saint John Winterhawks	-
42 - 2018-01-19	224	Saint John Winterhawks	-	Binghamton Roadrunners	-
45 - 2018-01-22	234	Binghamton Roadrunners	-	Worcester Plainsmen	-
48 - 2018-01-25	253	Ottawa Spartans	-	Binghamton Roadrunners	-
50 - 2018-01-27	265	Binghamton Roadrunners	-	Syracuse Bulls	-
53 - 2018-01-30	280	Quebec Cavaliers	-	Binghamton Roadrunners	-
55 - 2018-02-01	291	Binghamton Roadrunners	-	Halifax Kings	-
58 - 2018-02-04	305	Binghamton Roadrunners	-	Providence Englishmen	-
59 - 2018-02-05	312	Baltimore Tigers	-	Binghamton Roadrunners	-
62 - 2018-02-08	325	Binghamton Roadrunners	-	Portland Wolves	-
64 - 2018-02-10	334	Binghamton Roadrunners	-	Indianapolis Racers	-
65 - 2018-02-11	346	Washington Americans	-	Binghamton Roadrunners	-
68 - 2018-02-14	361	Binghamton Roadrunners	-	Montreal Voyageurs	-
70 - 2018-02-16	369	Burlington Cougars	-	Binghamton Roadrunners	-
73 - 2018-02-19	387	Binghamton Roadrunners	-	Albany Indians	-
75 - 2018-02-21	397	Syracuse Bulls	-	Binghamton Roadrunners	-
77 - 2018-02-23	412	Binghamton Roadrunners	-	Albany Indians	-
78 - 2018-02-24	422	Binghamton Roadrunners	-	Toronto Royals	-
79 - 2018-02-25	428	Buffalo Wings	-	Binghamton Roadrunners	-
83 - 2018-03-01	444	Binghamton Roadrunners	-	Washington Americans	-
85 - 2018-03-03	454	Richmond Robins	-	Binghamton Roadrunners	-
88 - 2018-03-06	475	Binghamton Roadrunners	-	Cincinnati Clippers	-
90 - 2018-03-08	482	Lehigh Valley Rockets	-	Binghamton Roadrunners	-
92 - 2018-03-10	495	Binghamton Roadrunners	-	Montreal Voyageurs	-
94 - 2018-03-12	507	Worcester Plainsmen	-	Binghamton Roadrunners	-
97 - 2018-03-15	524	Binghamton Roadrunners	-	Quebec Cavaliers	-
99 - 2018-03-17	537	Albany Indians	-	Binghamton Roadrunners	-
102 - 2018-03-20	554	Binghamton Roadrunners	-	Cincinnati Clippers	-
104 - 2018-03-22	564	Providence Englishmen	-	Binghamton Roadrunners	-
109 - 2018-03-27	587	Binghamton Roadrunners	-	Ottawa Spartans	-
110 - 2018-03-28	591	Halifax Kings	-	Binghamton Roadrunners	-
113 - 2018-03-31	610	Binghamton Roadrunners	-	Burlington Cougars	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
114 - 2018-04-01	617	Boston Eagles	-	Binghamton Roadrunners	-
120 - 2018-04-07	641	Portland Wolves	-	Binghamton Roadrunners	-
125 - 2018-04-12	664	Montreal Voyageurs	-	Binghamton Roadrunners	-
126 - 2018-04-13	671	Binghamton Roadrunners	-	Baltimore Tigers	-
127 - 2018-04-14	677	Binghamton Roadrunners	-	Brooklyn Dragons	-
133 - 2018-04-20	696	Montreal Voyageurs	-	Binghamton Roadrunners	-
138 - 2018-04-25	715	Louisville Red Devils	-	Binghamton Roadrunners	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	1675	1100	850	660	570
Prix des Billets	130	96	64	48	280
Assistance	5479	3331	2673	2147	1534
Attendance PCT	81.78%	75.70%	78.62%	81.33%	67.28%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
23	3791 - 78.08%	433,924$	1,735,694$	4855	80

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
16,728,284$	16,728,284$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
1,995,783$	117,805$	1,995,783$	97,716$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
9,980,240$	125	117,805$	14,725,625$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
17,206,025$	16,721,408$	51,731,511$	44,505,726$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Ryan Hughes	AGE:37	PO:3	OV:83
Shaun Pearson	AGE:21	PO:70	OV:70
Lee Demeglio	AGE:20	PO:52	OV:69
Brendan Pomerleau	AGE:24	PO:24	OV:69
Erik Dickman	AGE:28	PO:9	OV:69
Nicolas Perrault	AGE:24	PO:51	OV:68
Cam Pluemer	AGE:28	PO:4	OV:67
Logan Duchesne	AGE:19	PO:50	OV:64
Dave Sankar	AGE:19	PO:61	OV:63
Kyle Whitsell	AGE:27	PO:28	OV:61
Andy Cibula	AGE:20	PO:50	OV:60

Cameron Hain	AGE:28	PO:13	OV:78
Alan Stepp	AGE:20	PO:57	OV:73
Drew Kagel	AGE:22	PO:33	OV:69
Garrett Brayer	AGE:22	PO:33	OV:69
Ed Pote	AGE:29	PO:12	OV:69
Cris Passalacqua	AGE:27	PO:18	OV:67
Craig Gethers	AGE:28	PO:1	OV:62
Phillip Schilke	AGE:30	PO:49	OV:60
Carmen Penwell	AGE:22	PO:41	OV:58

Howard Frisco	AGE:32	PO:37	OV:81
Jesse Nimmo	AGE:19	PO:41	OV:75
Alan Landrus	AGE:26	PO:35	OV:71
Anthony Comans	AGE:24	PO:63	OV:70
Morgan Wolfenbarger	AGE:28	PO:9	OV:69
Aron Suttell	AGE:27	PO:6	OV:68
Toby Kostka	AGE:28	PO:18	OV:66
Brad McGowan	AGE:27	PO:86	OV:64
Craig Daniels	AGE:19	PO:62	OV:60
Brian Bechel	AGE:23	PO:37	OV:58
Joey Tognazzini	AGE:20	PO:83	OV:57
Will Brodersen	AGE:22	PO:63	OV:57
Marc-Pasquale Andrepont	AGE:22	PO:48	OV:56

Défense #1

Défense #2

Gardien

Vaughn Felber	AGE:27	PO:9	OV:81
Kirk Simms	AGE:25	PO:58	OV:73
Corey Thorne	AGE:20	PO:37	OV:70
Chris Bradley	AGE:24	PO:45	OV:69
Roderick Rose	AGE:22	PO:70	OV:68
Brett Sanft	AGE:24	PO:33	OV:68
Dean Siemens	AGE:28	PO:13	OV:68
Rob O'Byrne	AGE:24	PO:51	OV:67

Ryan McCord	AGE:25	PO:42	OV:67
Peter Telly	AGE:28	PO:13	OV:67
Luke Bevington	AGE:27	PO:7	OV:67
Harry Deveney	AGE:19	PO:52	OV:61
Rick Hudelson	AGE:19	PO:63	OV:60
Rory Van Steenwyk	AGE:22	PO:60	OV:60
Kris Meisner	AGE:20	PO:43	OV:58
Mike Zieg	AGE:22	PO:61	OV:57

Scot Wickersham	AGE:23	PO:45	OV:77
Mark Hannon	AGE:32	PO:62	OV:76
Kyle Cavagnaro	AGE:22	PO:45	OV:76
Dion Neubert	AGE:24	PO:58	OV:73
Cory Kleinfelder	AGE:25	PO:55	OV:72
Drew Payne	AGE:29	PO:49	OV:72
Kris Tallis	AGE:29	PO:39	OV:68

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
1002	Bin	Bin	Bin	Bin	Bin	Bin	Bin	Bin
1003	Bin	Bin	Bin	Bin	Bin	Bin	Bin	Bin
1004	Bin	Bin	Bin	Bin	Bin	Bin	Bin	Bin
1005	Bin	Bin	Bin	Bin	Bin	Bin	Bin	Bin
1006	Bin	Bin	Bin	Bin	Bin	Bin	Bin	Bin

[12/3/2017 2:18:01 PM] - Kris Tallis resigned with Binghamton Roadrunners for $245,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Kyle Cavagnaro resigned with Binghamton Roadrunners for $441,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Will Brodersen resigned with Binghamton Roadrunners for $242,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Rory Van Steenwyk resigned with Binghamton Roadrunners for $254,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Marc-Pasquale Andrepont resigned with Binghamton Roadrunners for $233,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Mike Zieg resigned with Binghamton Roadrunners for $240,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Brian Bechel resigned with Binghamton Roadrunners for $252,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Garrett Brayer resigned with Binghamton Roadrunners for $475,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Drew Kagel resigned with Binghamton Roadrunners for $475,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Roderick Rose resigned with Binghamton Roadrunners for $457,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Ryan McCord resigned with Binghamton Roadrunners for $438,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Alan Landrus resigned with Binghamton Roadrunners for $565,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Kyle Whitsell resigned with Binghamton Roadrunners for $263,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Dean Siemens resigned with Binghamton Roadrunners for $438,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Toby Kostka resigned with Binghamton Roadrunners for $440,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Morgan Wolfenbarger resigned with Binghamton Roadrunners for $507,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Aron Suttell resigned with Binghamton Roadrunners for $414,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Craig Gethers resigned with Binghamton Roadrunners for $285,000 for 3 year(s).
[12/3/2017 2:18:01 PM] - Cris Passalacqua resigned with Binghamton Roadrunners for $417,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Peter Telly resigned with Binghamton Roadrunners for $464,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Phillip Schilke resigned with Binghamton Roadrunners for $281,000 for 3 year(s).
[12/3/2017 2:18:00 PM] - Ryan Hughes resigned with Binghamton Roadrunners for $2,602,000 for 3 year(s).
[9/30/2017 4:53:47 PM] - Mike Warrick was released.
[9/30/2017 4:53:47 PM] - Mike Warrick was forced to retire by Binghamton Roadrunners
[9/30/2017 4:53:47 PM] - Steve Corey was released.
[9/30/2017 4:53:47 PM] - Steve Corey was forced to retire by Binghamton Roadrunners
[9/4/2017 8:26:32 PM] - Elmira Roadrunners was eliminated at round 1 of year 14.
[9/3/2017 1:47:39 PM] - Binghamton Roadrunners didn't make playoff for year 14.
[8/22/2017 4:29:30 PM] - TRADE : From Binghamton Roadrunners to Washington Americans : Ray Heitmeyer (67), Vaughn Rehagen (65).
[8/22/2017 4:29:30 PM] - TRADE : From Washington Americans to Binghamton Roadrunners : Rob O'Byrne (67), Aron Suttell (67), Y:15-RND:6-Was.
[8/22/2017 4:29:29 PM] - Aron Suttell was added to Binghamton Roadrunners.
[8/22/2017 4:29:29 PM] - Rob O'Byrne was added to Binghamton Roadrunners.
[8/9/2017 5:06:24 PM] - TRADE : From Baltimore Tigers to Binghamton Roadrunners : Nicolas Perrault (68).
[8/9/2017 5:06:24 PM] - TRADE : From Binghamton Roadrunners to Baltimore Tigers : Y:15-RND:3-Bin.
[8/9/2017 5:06:23 PM] - Nicolas Perrault was added to Binghamton Roadrunners.

[1/4/2018 5:20:58 PM] Both Binghamton Roadrunners and Elmira Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[1/4/2018 5:20:56 PM] Game 80 - Mark Hannon from Elmira Roadrunners is injured (Broken Bone (Left Leg)) and is out for 2 months.
[1/4/2018 5:20:55 PM] Peter Telly from Binghamton Roadrunners is back from Left Foot Injury.
[1/4/2018 5:20:45 PM] Auto Lines Function has been run for Elmira Roadrunners.
[1/4/2018 5:20:45 PM] Auto Lines Function has been run for Binghamton Roadrunners.
[1/4/2018 5:20:41 PM] Auto Roster Function has been run for Binghamton Roadrunners.
[1/4/2018 5:20:41 PM] Roderick Rose of Binghamton Roadrunners was sent to farm.
[1/4/2018 5:20:41 PM] Brett Sanft of Binghamton Roadrunners was sent to farm.
[1/4/2018 5:20:41 PM] Dean Siemens of Binghamton Roadrunners was sent to pro.
[1/4/2018 5:20:41 PM] Peter Telly of Binghamton Roadrunners was sent to pro.
[12/9/2017 3:18:44 PM] Both Binghamton Roadrunners and Elmira Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:44 PM] Last 7 Days Pro Star : 1 - Brandon McKean of Baltimore Tigers (4-1-5) / 2 - Mike Valentine of Virginia Mariners (5-3-8) / 3 - Ryan Hughes of Binghamton Roadrunners (5-2-7)
[12/9/2017 3:18:43 PM] Jesse Nimmo from Binghamton Roadrunners has scored a Hat Trick!
[12/9/2017 3:18:38 PM] Both Binghamton Roadrunners and Elmira Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:36 PM] Ryan Hughes from Binghamton Roadrunners has scored a Hat Trick!
[12/9/2017 3:18:36 PM] Auto Lines Function has been run for Elmira Roadrunners.
[12/9/2017 3:18:36 PM] Auto Roster Partial Function has been run for Binghamton Roadrunners.
[12/9/2017 3:18:35 PM] Mark Hannon from Elmira Roadrunners is back from Groin Injury.
[12/9/2017 3:18:31 PM] Binghamton Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:28 PM] Elmira Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:27 PM] Game 50 - Peter Telly from Elmira Roadrunners is injured (Left Foot) and is out for 3 weeks.
[12/9/2017 3:18:24 PM] Binghamton Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:20 PM] Elmira Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:17 PM] Elmira Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:07 PM] Binghamton Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:18:05 PM] Elmira Roadrunners lines for next game are empty. Current rosters/lines are not erased.
[12/9/2017 3:17:48 PM] Auto Lines Function has been run for Elmira Roadrunners.
[12/9/2017 3:17:48 PM] Auto Lines Function has been run for Binghamton Roadrunners.

Mark Hannon est dehors pour 2 mois à cause de Broken Bone (Left Leg) 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
07-08	80	31	32	12	1	4	0	0	243	232	11	40	18	12	6	1	3	0	0	126	108	18	40	13	20	6	0	1	0	0	117	124	-7	74	243	410	653	0	1	75	93	74	1	2481	895	874	699	13	2693	844	2447	1882	300	44	14.67%	321	41	87.23%	3	1022	1946	52.52%	1005	1950	51.54%	680	1363	49.89%	1629	845	1671	809	1570	767
08-09	80	31	36	8	2	3	0	0	279	310	-31	40	14	17	4	2	3	0	0	139	153	-14	40	17	19	4	0	0	0	0	140	157	-17	70	279	477	756	0	0	88	105	84	2	2914	1016	964	914	20	2858	968	662	1795	279	46	16.49%	233	42	81.97%	6	1015	2008	50.55%	928	1807	51.36%	724	1436	50.42%	1696	940	3783	1774	1489	751
09-10	80	31	34	6	7	2	0	0	258	272	-14	40	14	15	3	7	1	0	0	147	147	0	40	17	19	3	0	1	0	0	111	125	-14	68	258	436	694	3	1	90	90	71	7	2739	986	949	775	29	2832	924	911	1781	263	39	14.83%	288	45	84.38%	12	1027	2003	51.27%	939	1891	49.66%	721	1392	51.80%	1631	881	5706	2641	1509	738
10-11	80	33	27	15	0	5	0	0	281	281	0	40	17	14	7	0	2	0	0	140	138	2	40	16	13	8	0	3	0	0	141	143	-2	81	281	483	764	1	1	92	92	97	0	2839	1006	907	916	10	2724	917	671	1746	270	48	17.78%	255	45	82.35%	2	1045	2062	50.68%	1073	2050	52.34%	647	1244	52.01%	1692	939	1711	771	1481	728
11-12	80	32	30	8	3	7	0	0	262	270	-8	40	16	17	4	0	3	0	0	128	130	-2	40	16	13	4	3	4	0	0	134	140	-6	72	262	447	709	3	1	73	96	90	3	2680	952	854	854	20	2712	863	550	1739	342	63	18.42%	259	54	79.15%	3	1058	2090	50.62%	999	1999	49.97%	662	1256	52.71%	1724	958	1700	733	1430	734
12-13	80	35	28	11	4	2	0	0	287	258	29	40	18	14	4	2	2	0	0	144	130	14	40	17	14	7	2	0	0	0	143	128	15	81	287	471	758	1	0	98	94	91	4	2780	1081	867	815	17	2707	889	409	1700	273	47	17.22%	185	30	83.78%	3	993	1978	50.20%	994	2029	48.99%	608	1215	50.04%	1741	997	1692	734	1430	728
13-14	80	36	26	14	1	3	0	0	251	226	25	40	20	12	5	1	2	0	0	131	112	19	40	16	14	9	0	1	0	0	120	114	6	86	251	417	668	1	1	88	68	94	1	2675	968	840	836	31	2636	859	620	1719	372	47	12.63%	295	41	86.10%	9	1092	2106	51.85%	1034	1930	53.58%	624	1155	54.03%	1750	971	1673	756	1453	744
14-15	80	37	35	7	0	1	0	0	261	260	1	40	18	19	2	0	1	0	0	130	129	1	40	19	16	5	0	0	0	0	131	131	0	81	261	428	689	0	1	89	89	83	0	2744	1016	908	812	8	2563	813	870	1647	378	53	14.02%	365	61	83.29%	6	1202	2161	55.62%	1080	1980	54.55%	648	1167	55.53%	1761	987	1653	755	1424	722
15-16	80	25	36	11	4	4	0	0	280	309	-29	40	10	21	5	2	2	0	0	130	149	-19	40	15	15	6	2	2	0	0	150	160	-10	61	280	458	738	2	0	92	90	94	4	2761	1040	871	824	26	2687	962	680	1702	372	72	19.35%	335	66	80.30%	9	961	2124	45.24%	941	2015	46.70%	553	1250	44.24%	1723	962	1715	755	1423	713
16-17	80	26	29	12	7	6	0	0	261	271	-10	40	13	11	7	5	4	0	0	135	128	7	40	13	18	5	2	2	0	0	126	143	-17	64	261	446	707	3	1	85	78	91	7	2534	905	819	767	43	2575	869	603	1603	327	57	17.43%	267	39	85.39%	7	878	1966	44.66%	824	1843	44.71%	557	1222	45.58%	1716	981	1767	736	1401	702
1001	6	4	2	0	0	0	0	0	25	20	5	4	3	1	0	0	0	0	0	19	15	4	2	1	1	0	0	0	0	0	6	5	1	8	25	37	62	0	0	8	7	10	0	195	69	61	65	0	214	55	67	109	33	7	21.21%	26	5	80.77%	1	69	147	46.94%	89	151	58.94%	51	107	47.66%	129	74	126	56	103	52
Total Saison Régulière	806	321	315	104	29	37	0	0	2688	2709	-21	404	161	153	47	20	23	0	0	1369	1339	30	402	160	162	57	9	14	0	0	1319	1370	-51	746	2688	4510	7198	14	7	878	902	879	29	27342	9934	8914	8277	217	27201	8963	8490	17423	3209	523	16.30%	2829	469	83.42%	61	10362	20591	50.32%	9906	19645	50.43%	6475	12807	50.56%	17197	9541	23201	10525	14718	7383