NorthEastern Junior Hockey League

Plattsburgh Jr Stars
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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	Rob Sumerlin	0			X		100.00	47	28	97	70	73	82	93	79	97	92	62	27	50	99	71	58	44	68	0
2	Chris Kinatyan	0		X			100.00	95	41	34	63	83	75	94	67	26	49	48	92	50	96	55	87	58	66	0
3	Kyle Goulart (R)	0		X			100.00	69	36	62	72	89	75	85	74	76	71	79	25	50	71	57	63	71	66	0
4	David Fougere (R)	0	X				100.00	54	42	81	71	89	75	70	69	78	65	63	63	50	61	70	73	16	65	0
5	Gregory Neyra (R)	0		X			100.00	47	49	68	62	72	75	75	71	64	80	63	52	50	72	29	74	68	63	0
6	Axel Stigsson	0		X			100.00	51	21	66	79	74	83	45	74	82	80	32	63	50	67	73	72	59	63	0
7	Justin Lamb (R)	0			X		100.00	95	38	92	71	76	75	73	55	64	53	92	35	50	60	52	62	67	63	0
8	Josh Brennan	0	X				100.00	50	49	66	67	68	79	84	76	74	61	79	31	50	68	32	56	71	62	0
9	Zachary Brigham	0	X				100.00	79	92	41	76	63	64	76	73	88	49	53	44	70	99	93	52	60	62	0
10	Joseph Santulli	0			X		100.00	78	77	82	52	69	82	90	62	74	64	59	55	50	71	58	57	76	62	0
11	Patrick Babin	0	X				100.00	68	40	62	74	68	75	71	64	57	76	63	27	50	76	28	60	72	61	0
12	Cody Beck	0				X	99.50	73	46	59	74	77	77	67	74	29	63	49	77	50	74	62	50	39	69	0
13	Ivan Panos (R)	0				X	99.50	65	61	73	75	78	75	78	52	26	43	48	69	50	72	62	76	36	65	0
14	Jeff Sherfey	0				X	100.00	93	62	75	73	72	75	83	67	45	54	27	60	50	65	41	56	66	64	0
15	Logan Letersky	0				X	100.00	43	34	71	84	83	75	77	54	34	49	42	73	50	61	48	58	43	64	0
16	Riley Berryhill	0				X	100.00	90	60	65	69	78	77	81	58	35	47	31	39	50	91	99	49	67	63	0
17	Jack Tiehen	0				X	100.00	63	22	88	66	78	92	73	67	82	52	27	58	70	61	46	46	43	62	0
Rayé
1	Damian Limbach	0			X		92.04	59	30	60	76	70	73	76	93	55	88	85	40	50	90	35	56	45	71	0
2	Jacob Tansey	0	X				90.03	65	33	79	66	82	79	70	86	51	88	72	67	50	78	45	54	45	71	0
3	Joel Covington	0			X		81.61	69	43	61	74	71	80	75	76	25	89	58	54	50	80	79	47	55	69	0
4	Justin Gann	0	X				62.64	54	55	61	64	82	76	55	88	54	56	80	48	50	82	85	79	33	66	0
5	Alexei Mirotny (R)	0				X	0.00	57	38	22	46	77	75	77	91	34	90	75	80	50	62	70	75	19	68	0

	MOYENNE D'ÉQUIPE					92.06	67	45	67	69	76	77	76	71	57	66	59	54	52	75	59	62	52	65

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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	Logan Wetter	100.00	82	77	78	70	77	88	80	82	89	79	50	77	67	55	59	78	0
2	Travis Farro	100.00	74	68	70	73	72	87	92	79	93	66	69	36	78	68	54	76	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	78	73	74	72	75	88	86	81	91	73	60	57	73	62	57	77

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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	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	PSS	FW	FL	FT	S1	S2	S3
1	Damian Limbach	Plattsburgh Stars	RW	59	45	70	115	13	81	15	81	67	324	96	231	13.89%	28	1351	22.90	10	18	28	56	181	1	2	3	7	174	1	0	49.09%	220	82	14	0	4	1.70	0	0	0	2	6	9	1
2	Jacob Tansey	Plattsburgh Stars	C	60	50	51	101	14	9	5	78	151	290	87	182	17.24%	47	1376	22.94	11	14	25	48	175	1	1	2	6	209	5	2	45.53%	2291	35	26	0	2	1.47	0	0	0	1	5	7	8
3	Kyle Goulart	Plattsburgh Stars	LW	72	34	43	77	-23	47	5	123	32	230	75	125	14.78%	19	1170	16.25	13	8	21	28	180	0	0	0	0	16	2	1	61.76%	68	46	11	0	1	1.32	0	0	0	1	2	4	4
4	Joel Covington	Plattsburgh Stars	RW	53	26	39	65	-8	38	10	96	59	175	56	93	14.86%	29	929	17.54	4	11	15	19	112	3	0	3	6	99	4	0	39.73%	73	40	14	0	2	1.40	0	1	0	1	4	4	3
5	Rob Sumerlin	Plattsburgh Stars	RW	68	27	33	60	-5	7	5	26	47	161	64	118	16.77%	22	1027	15.11	2	5	7	8	86	0	2	2	4	116	2	2	69.01%	71	50	6	0	0	1.17	1	0	1	0	3	2	3
6	Gregory Neyra	Plattsburgh Stars	LW	67	19	26	45	1	20	0	37	47	155	51	96	12.26%	27	806	12.04	3	0	3	6	31	0	2	2	1	60	2	0	56.91%	123	20	15	0	0	1.12	0	0	0	0	2	2	0
7	David Fougere	Plattsburgh Stars	C	58	14	28	42	-3	19	5	40	102	128	41	84	10.94%	28	838	14.46	0	2	2	6	95	0	0	0	2	10	2	1	53.82%	812	18	11	0	0	1.00	0	0	1	0	1	1	2
8	Chris Kinatyan	Plattsburgh Stars	LW	65	17	24	41	12	147	35	168	86	114	41	73	14.91%	47	1334	20.53	3	6	9	20	199	0	0	0	5	46	0	1	37.16%	148	5	43	0	1	0.61	0	0	1	6	1	2	1
9	Alexei Mirotny	Plattsburgh Stars	D	37	10	29	39	-20	89	5	84	96	115	45	42	8.70%	77	990	26.77	3	5	8	15	124	0	0	0	1	98	1	1	0.00%	0	16	45	1	0	0.79	0	0	0	1	2	0	1
10	Josh Brennan	Plattsburgh Stars	C	64	17	11	28	2	22	0	42	34	85	30	56	20.00%	8	652	10.20	1	0	1	1	28	0	0	0	0	36	0	4	54.52%	365	11	4	0	1	0.86	0	0	0	0	3	0	2
11	Jeff Sherfey	Plattsburgh Stars	D	72	4	22	26	8	71	55	120	129	80	23	32	5.00%	94	1634	22.70	2	4	6	10	166	0	1	1	1	189	0	1	0.00%	0	10	51	0	0	0.32	0	4	5	2	0	0	1
12	Logan Letersky	Plattsburgh Stars	D	66	2	23	25	14	26	10	38	115	99	41	39	2.02%	111	1345	20.38	0	3	3	4	133	0	1	1	2	141	1	0	0.00%	0	15	59	0	0	0.37	0	0	1	1	0	0	2
13	Justin Lamb	Plattsburgh Stars	RW	72	12	13	25	8	0	0	71	37	68	36	55	17.65%	11	762	10.58	1	2	3	2	21	0	0	0	1	52	2	0	55.88%	68	32	8	0	0	0.66	0	0	0	0	2	1	0
14	David Rohling	Plattsburgh Jr Stars (Pla)	LW	29	14	9	23	7	0	0	33	14	71	19	43	19.72%	4	362	12.49	0	2	2	4	12	3	0	3	7	38	0	0	69.39%	49	20	3	0	0	1.27	0	0	0	0	0	2	2
15	Axel Stigsson	Plattsburgh Stars	LW	52	5	18	23	-12	6	0	29	43	70	23	56	7.14%	17	523	10.06	0	0	0	0	10	0	0	0	0	19	1	0	60.00%	35	19	5	0	0	0.88	0	0	0	0	0	0	0
16	Zachary Brigham	Plattsburgh Stars	C	55	5	15	20	-12	102	40	100	49	71	36	51	7.04%	13	617	11.22	1	1	2	7	36	0	0	0	0	7	0	0	62.65%	423	15	8	0	0	0.65	0	3	2	3	0	0	1
17	Justin Gann	Plattsburgh Stars	C	25	9	11	20	-4	21	5	26	30	46	18	37	19.57%	6	353	14.13	1	4	5	4	51	0	0	0	0	1	4	0	42.71%	288	7	2	0	0	1.13	0	0	1	0	1	0	0
18	Cody Beck	Plattsburgh Stars	D	39	4	13	17	-23	81	45	59	81	71	27	24	5.63%	82	1085	27.84	2	2	4	15	128	0	0	0	2	134	1	0	0.00%	0	15	38	0	0	0.31	0	2	3	4	0	0	0
19	Keith Hesford	Plattsburgh Jr Stars (Pla)	D	34	0	16	16	16	11	5	9	46	31	9	14	0.00%	38	557	16.41	0	0	0	2	44	0	0	0	1	41	0	0	0.00%	0	2	24	0	0	0.57	0	0	0	1	0	0	0
20	Ivan Panos	Plattsburgh Stars	D	59	2	12	14	-8	47	35	75	91	79	44	39	2.53%	79	1302	22.07	0	1	1	9	143	0	1	1	3	149	0	0	0.00%	0	8	43	0	0	0.21	0	0	1	6	0	0	0
21	Riley Berryhill	Plattsburgh Stars	D	70	0	11	11	7	64	30	89	33	35	18	12	0.00%	46	1132	16.18	0	0	0	1	66	0	0	0	6	99	0	0	0.00%	0	3	17	0	0	0.19	0	2	3	1	0	0	0
22	Patrick Babin	Plattsburgh Stars	C	12	3	3	6	-2	4	0	8	0	15	5	4	20.00%	0	87	7.26	0	0	0	0	0	0	0	0	0	0	0	0	35.00%	40	3	1	0	0	1.38	0	0	0	0	1	1	0
23	Darren Grivas	Plattsburgh Jr Stars (Pla)	C	14	2	3	5	-1	2	0	2	6	22	7	15	9.09%	2	107	7.67	0	0	0	0	0	0	0	0	0	0	1	0	52.17%	46	1	1	0	0	0.93	0	0	0	0	0	0	0
24	Joseph Santulli	Plattsburgh Stars	RW	30	1	4	5	-8	2	0	32	13	27	9	17	3.70%	4	257	8.60	0	0	0	0	3	0	0	0	1	5	0	0	66.67%	12	8	1	0	0	0.39	0	0	0	0	0	0	0
25	Mike Warga	Plattsburgh Jr Stars (Pla)	RW	5	1	1	2	0	0	0	0	2	7	4	3	14.29%	3	40	8.02	0	0	0	0	0	0	0	0	0	2	0	0	71.43%	7	1	0	0	0	1.00	0	0	0	0	0	0	0
26	Jack Tiehen	Plattsburgh Stars	D	29	0	2	2	9	0	0	10	20	19	6	5	0.00%	30	391	13.49	0	0	0	0	7	0	0	0	0	36	0	0	0.00%	0	0	9	0	0	0.10	0	0	0	0	0	0	0
27	Ross Cardell	Plattsburgh Jr Stars (Pla)	LW	3	1	1	2	-1	0	0	3	3	4	2	3	25.00%	0	22	7.59	0	0	0	0	0	0	0	0	0	2	0	0	66.67%	3	1	0	0	0	1.76	0	0	0	0	0	0	0
28	Tristan Wilson	Plattsburgh Jr Stars (Pla)	D	16	0	1	1	-13	17	5	7	16	1	4	4	0.00%	18	207	13.00	0	0	0	0	4	0	0	0	0	5	0	0	0.00%	0	1	9	0	0	0.10	0	0	1	0	0	0	0
29	Johnny McGillis	Plattsburgh Jr Stars (Pla)	D	10	0	0	0	-2	5	5	8	11	6	4	2	0.00%	7	128	12.89	0	0	0	0	1	0	0	0	0	11	0	0	0.00%	0	1	7	0	0	0.00	0	0	1	0	0	0	0
30	Ethan Denniston	Plattsburgh Jr Stars (Pla)	RW	1	0	0	0	0	0	0	0	1	0	0	1	0.00%	0	5	5.73	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1296	324	532	856	-34	938	320	1494	1461	2599	921	1556	12.47%	897	21402	16.51	57	88	145	265	2047	8	10	18	56	1806	29	13	49.90%	5142	486	475	1	11	0.80	1	12	21	30	33	35	31

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	GA	SA	SAR	A	EG	ST	BG	S1	S3
1	Logan Wetter	Plattsburgh Stars	46	19	20	5	0.881	4.30	2666	4	191	1600	686	4	2	45	19	0	3
2	Travis Farro	Plattsburgh Stars	25	9	11	3	0.877	4.30	1397	2	100	811	367	1	1	22	45	1	0
3	Chris Lindemann	Plattsburgh Jr Stars (Pla)	5	1	3	0	0.846	6.02	249	0	25	162	67	0	0	3	5	0	0
4	Darin King	Plattsburgh Jr Stars (Pla)	2	0	1	0	0.780	7.94	68	0	9	41	21	0	0	2	3	0	0
Stats d'équipe Total ou en Moyenne			78	29	35	8	0.876	4.45	4381	6	325	2614	1141	5	3	72	72	1	3

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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	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	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6
Alexei Mirotny (Sur la Masse Salariale)	Plattsburgh Stars	D	15	4/30/2002	Yes	168 Lbs	5 ft9	No	No	No	6	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Axel Stigsson	Plattsburgh Stars	LW	18	12/7/1998	No	164 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Chris Kinatyan	Plattsburgh Stars	LW	17	12/14/1999	No	197 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Cody Beck	Plattsburgh Stars	D	17	11/6/1999	No	181 Lbs	6 ft2	No	No	No	4	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Damian Limbach	Plattsburgh Stars	RW	15	7/18/2001	No	175 Lbs	5 ft10	No	No	No	5	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
David Fougere	Plattsburgh Stars	C	15	8/20/2001	Yes	157 Lbs	5 ft8	No	No	No	6	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Gregory Neyra	Plattsburgh Stars	LW	15	10/13/2001	Yes	169 Lbs	5 ft8	No	No	No	6	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Ivan Panos	Plattsburgh Stars	D	15	2/23/2002	Yes	178 Lbs	5 ft8	No	No	No	6	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Jack Tiehen	Plattsburgh Stars	D	20	9/11/1996	No	205 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No
Jacob Tansey	Plattsburgh Stars	C	17	6/9/2000	No	199 Lbs	6 ft1	No	No	No	4	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Jeff Sherfey	Plattsburgh Stars	D	16	7/11/2000	No	180 Lbs	6 ft1	No	No	No	5	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Joel Covington	Plattsburgh Stars	RW	17	9/7/1999	No	176 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Joseph Santulli	Plattsburgh Stars	RW	17	2/14/2000	No	164 Lbs	5 ft10	No	No	No	4	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Josh Brennan	Plattsburgh Stars	C	16	9/23/2000	No	192 Lbs	5 ft11	No	No	No	5	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Justin Gann (Sur la Masse Salariale)	Plattsburgh Stars	C	16	9/24/2000	No	175 Lbs	5 ft11	No	No	No	5	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Justin Lamb	Plattsburgh Stars	RW	16	10/14/2000	Yes	177 Lbs	5 ft7	No	No	No	6	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Kyle Goulart	Plattsburgh Stars	LW	15	9/3/2001	Yes	162 Lbs	5 ft8	No	No	No	6	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Logan Letersky	Plattsburgh Stars	D	15	7/31/2001	No	163 Lbs	5 ft9	No	No	No	5	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Logan Wetter	Plattsburgh Stars	G	17	9/7/1999	No	163 Lbs	5 ft11	No	No	No	4	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Patrick Babin	Plattsburgh Stars	C	16	5/14/2001	No	164 Lbs	5 ft11	No	No	No	5	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Riley Berryhill	Plattsburgh Stars	D	19	4/11/1998	No	198 Lbs	6 ft4	No	No	No	3	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$
Rob Sumerlin	Plattsburgh Stars	RW	17	2/19/2000	No	184 Lbs	6 ft1	No	No	No	3	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$
Travis Farro	Plattsburgh Stars	G	20	11/10/1996	No	178 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No
Zachary Brigham	Plattsburgh Stars	C	19	1/10/1998	No	176 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	50,000$	0$	0$	No	50,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	16.67	177 Lbs	5 ft11	4.33	50,000$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
1,200,000$	1,100,000$	1,050,000$	950,000$	600,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Kinatyan	David Fougere		40	1	2	2
2	Kyle Goulart	Zachary Brigham	Rob Sumerlin	30	1	2	2
3	Gregory Neyra	Josh Brennan	Justin Lamb	20	1	2	2
4	Axel Stigsson	Patrick Babin	Joseph Santulli	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Beck	Ivan Panos	40	1	2	2
2	Jeff Sherfey	Logan Letersky	30	1	2	2
3	Riley Berryhill	Jack Tiehen	20	1	2	2
4	Cody Beck	Ivan Panos	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Kinatyan	David Fougere		60	1	2	2
2	Kyle Goulart	Zachary Brigham	Rob Sumerlin	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Beck	Ivan Panos	60	1	2	2
2	Jeff Sherfey	Logan Letersky	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Rob Sumerlin	60	1	2	2
2	Chris Kinatyan	Kyle Goulart	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Beck	Ivan Panos	60	1	2	2
2	Jeff Sherfey	Logan Letersky	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Cody Beck	Ivan Panos	60	1	2	2
2	Rob Sumerlin	40	1	2	2	Jeff Sherfey	Logan Letersky	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Rob Sumerlin	60	1	2	2
2	Chris Kinatyan	Kyle Goulart	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Beck	Ivan Panos	60	1	2	2
2	Jeff Sherfey	Logan Letersky	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Chris Kinatyan	David Fougere		Cody Beck	Ivan Panos

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Chris Kinatyan	David Fougere		Cody Beck	Ivan Panos

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Gregory Neyra, Axel Stigsson, Justin Lamb	Gregory Neyra, Axel Stigsson	Justin Lamb

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Riley Berryhill, Jack Tiehen, Jeff Sherfey	Riley Berryhill	Jack Tiehen, Jeff Sherfey

Tirs de Pénalité
, Rob Sumerlin, Chris Kinatyan, Kyle Goulart, David Fougere

Gardien
#1 : Logan Wetter, #2 : Travis Farro

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	Beauport Caribou	3	1	1	0	0	1	0	0	13	11	2	2	1	0	0	0	1	0	0	9	6	3	1	0	1	0	0	0	0	0	4	5	-1	2	0.333	13	18	31	0	0	2	4	7	0	110	37	38	35	0	109	36	22	77	11	3	27.27%	11	0	100.00%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	67	40	61	25	50	25
2	Boston Schooners	7	3	2	1	1	0	0	0	39	32	7	4	1	2	1	0	0	0	0	22	19	3	3	2	0	0	1	0	0	0	17	13	4	9	0.643	39	65	104	0	0	11	14	13	1	272	92	104	74	2	244	89	101	138	26	4	15.38%	18	4	77.78%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	152	90	152	64	124	61
3	Connecticut Highlanders	8	4	2	1	1	0	0	0	46	42	4	4	2	1	0	1	0	0	0	25	21	4	4	2	1	1	0	0	0	0	21	21	0	11	0.688	46	74	120	0	0	15	10	20	1	280	96	82	96	6	282	106	142	157	38	13	34.21%	36	13	63.89%	2	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	169	98	175	76	142	70
4	Detroit Chargers	3	2	0	0	0	1	0	0	19	10	9	2	1	0	0	0	1	0	0	10	7	3	1	1	0	0	0	0	0	0	9	3	6	4	0.667	19	31	50	0	0	4	9	6	0	106	27	39	38	2	120	24	43	70	17	3	17.65%	9	1	88.89%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	67	38	64	27	52	28
5	Fredericton Storm	3	0	2	0	1	0	0	0	6	11	-5	1	0	0	0	1	0	0	0	4	3	1	2	0	2	0	0	0	0	0	2	8	-6	2	0.333	6	11	17	0	0	1	4	0	1	117	32	41	41	3	115	30	19	65	11	0	0.00%	7	0	100.00%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	72	43	57	26	54	28
6	Gatineau Lynx	3	2	1	0	0	0	0	0	14	10	4	2	1	1	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	4	2	2	4	0.667	14	23	37	0	0	3	5	6	0	106	45	31	30	0	97	28	44	56	9	3	33.33%	12	1	91.67%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	65	38	62	26	51	25
7	Jamestown Jets	3	0	2	0	0	1	0	0	9	16	-7	1	0	0	0	0	1	0	0	4	5	-1	2	0	2	0	0	0	0	0	5	11	-6	0	0.000	9	14	23	0	0	2	6	1	0	110	39	41	29	1	110	33	20	55	12	1	8.33%	10	1	90.00%	1	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	71	44	60	25	51	25
8	Kitchener Canadians	3	1	2	0	0	0	0	0	9	10	-1	1	0	1	0	0	0	0	0	1	2	-1	2	1	1	0	0	0	0	0	8	8	0	2	0.333	9	13	22	0	0	3	2	4	0	108	43	37	28	0	103	42	66	51	12	0	0.00%	13	1	92.31%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	63	36	65	27	50	25
9	Laval Regents	3	2	1	0	0	0	0	0	16	12	4	1	0	1	0	0	0	0	0	3	5	-2	2	2	0	0	0	0	0	0	13	7	6	4	0.667	16	28	44	1	0	7	6	3	0	97	30	34	33	0	114	51	43	69	7	2	28.57%	14	3	78.57%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	59	33	68	27	52	25
10	London Bulldogs	3	1	1	0	1	0	0	0	16	16	0	1	0	1	0	0	0	0	0	5	9	-4	2	1	0	0	1	0	0	0	11	7	4	4	0.667	16	21	37	0	0	1	5	9	1	109	34	28	45	2	129	46	74	62	5	3	60.00%	18	5	72.22%	1	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	59	33	67	28	54	26
11	Moncton Beavers	3	0	2	1	0	0	0	0	12	16	-4	1	0	0	1	0	0	0	0	5	5	0	2	0	2	0	0	0	0	0	7	11	-4	1	0.167	12	18	30	1	0	2	4	6	0	106	33	33	36	4	124	43	26	58	6	2	33.33%	13	3	76.92%	1	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	61	34	67	28	55	25
12	Nashua Vikings	7	2	3	1	0	1	0	0	31	36	-5	4	2	1	0	0	1	0	0	22	18	4	3	0	2	1	0	0	0	0	9	18	-9	5	0.357	31	51	82	0	0	9	10	12	0	241	91	67	82	1	236	79	131	141	30	5	16.67%	33	7	78.79%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	150	85	148	68	126	62
13	Norwich Tigers	7	1	4	1	1	0	0	0	28	37	-9	3	0	3	0	0	0	0	0	9	19	-10	4	1	1	1	1	0	0	0	19	18	1	5	0.357	28	44	72	1	0	7	12	8	1	244	78	96	65	5	253	98	66	154	16	1	6.25%	28	8	71.43%	2	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	145	82	156	67	124	59
14	Rome Knights	3	1	1	1	0	0	0	0	12	10	2	2	0	1	1	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	5	2	3	3	0.500	12	22	34	0	0	2	6	4	0	102	34	39	28	1	105	36	16	66	10	4	40.00%	8	0	100.00%	1	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	64	37	64	28	56	26
15	Sherbrooke Pionniers	3	2	1	0	0	0	0	0	15	12	3	2	2	0	0	0	0	0	0	9	3	6	1	0	1	0	0	0	0	0	6	9	-3	4	0.667	15	29	44	0	0	6	4	5	0	114	27	40	47	0	105	41	43	63	14	4	28.57%	10	2	80.00%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	66	38	60	25	52	26
16	Springfield Bears	7	2	2	2	0	1	0	0	29	32	-3	3	1	1	1	0	0	0	0	11	11	0	4	1	1	1	0	1	0	0	18	21	-3	6	0.429	29	51	80	0	0	6	15	8	0	266	94	87	79	6	267	86	65	145	18	7	38.89%	30	5	83.33%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	150	86	156	65	126	61
17	Toledo Glaziers	3	0	3	0	0	0	0	0	10	15	-5	2	0	2	0	0	0	0	0	9	13	-4	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	10	19	29	0	0	3	4	3	0	111	31	42	38	0	104	29	23	67	12	2	16.67%	9	2	77.78%	0	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	64	38	64	26	50	24
	Total	72	24	30	8	5	5	0	0	324	328	-4	36	11	15	4	2	4	0	0	165	162	3	36	13	15	4	3	1	0	0	159	166	-7	66	0.458	324	532	856	3	0	84	120	115	5	2599	863	879	824	33	2617	897	944	1494	254	57	22.44%	279	56	79.93%	8	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	1554	900	1555	667	1278	628
	_Since Last GM Reset	72	32	30	0	5	5	0	0	324	328	-4	36	11	15	4	2	4	0	0	165	162	3	36	21	15	-4	3	1	0	0	159	166	-7	74	0.514	324	532	856	3	0	84	120	115	5	2599	863	879	824	33	2617	897	944	1494	254	57	22.44%	279	56	79.93%	8	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	1554	900	1555	667	1278	628
	_Vs Conference	72	24	30	8	5	5	0	0	324	328	-4	36	11	15	4	2	4	0	0	165	162	3	36	13	15	4	3	1	0	0	159	166	-7	66	0.458	324	532	856	3	0	84	120	115	5	2599	863	879	824	33	2617	897	944	1494	254	57	22.44%	279	56	79.93%	8	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	1554	900	1555	667	1278	628
	_Vs Division	36	12	13	6	3	2	0	0	173	179	-6	18	6	8	2	1	1	0	0	89	88	1	18	6	5	4	2	1	0	0	84	91	-7	36	0.500	173	285	458	1	0	48	61	61	3	1303	451	436	396	20	1282	458	505	735	128	30	23.44%	145	37	74.48%	4	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	769	443	789	341	645	313

			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
72	66	L1	324	532	856	2599	2617	897	944	1494	3	0

Tous les Matchs
GP	W	L	OTW	OTL	T	GF	GA
72	24	30	5	5	8	324	328

Matchs locaux
GP	W	L	OTW	OTL	T	GF	GA
36	11	15	2	4	4	165	162

Matchs Éxtérieurs
GP	W	L	OTW	OTL	T	GF	GA
36	13	15	3	1	4	159	166

Derniers 10 Matchs
W	L	OTW	OTL	T
1	6	1	1	1

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
254	57	22.44%	279	56	79.93%	8

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
863	879	824	33	84	120	115	5

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
988	1854	53.29%	938	1957	47.93%	640	1331	48.08%

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
1554	900	1555	667	1278	628

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	OT	Lien
1 - 2017-09-22	14	Plattsburgh Stars	8	Connecticut Highlanders	7	W		Sommaire du Match
2 - 2017-09-23	30	Plattsburgh Stars	6	Connecticut Highlanders	6	T	X	Sommaire du Match
5 - 2017-09-26	37	Jamestown Jets	5	Plattsburgh Stars	4	L	X	Sommaire du Match
6 - 2017-09-27	44	London Bulldogs	9	Plattsburgh Stars	5	L		Sommaire du Match
10 - 2017-10-01	81	Plattsburgh Stars	6	Sherbrooke Pionniers	9	L		Sommaire du Match
12 - 2017-10-03	93	Plattsburgh Stars	4	Beauport Caribou	5	L		Sommaire du Match
13 - 2017-10-04	97	Plattsburgh Stars	7	Laval Regents	3	W		Sommaire du Match
16 - 2017-10-07	124	Nashua Vikings	8	Plattsburgh Stars	7	L	X	Sommaire du Match
17 - 2017-10-08	135	Plattsburgh Stars	2	Nashua Vikings	7	L		Sommaire du Match
19 - 2017-10-10	144	Springfield Bears	3	Plattsburgh Stars	4	W		Sommaire du Match
23 - 2017-10-14	176	Norwich Tigers	6	Plattsburgh Stars	4	L		Sommaire du Match
31 - 2017-10-22	237	Plattsburgh Stars	4	Boston Schooners	3	W		Sommaire du Match
36 - 2017-10-27	266	Plattsburgh Stars	9	Detroit Chargers	3	W		Sommaire du Match
37 - 2017-10-28	275	Plattsburgh Stars	6	London Bulldogs	3	W		Sommaire du Match
38 - 2017-10-29	289	Plattsburgh Stars	1	Toledo Glaziers	2	L		Sommaire du Match
41 - 2017-11-01	300	Plattsburgh Stars	3	Jamestown Jets	7	L		Sommaire du Match
42 - 2017-11-02	305	Plattsburgh Stars	5	Rome Knights	2	W		Sommaire du Match
44 - 2017-11-04	332	Plattsburgh Stars	1	Kitchener Canadians	3	L		Sommaire du Match
51 - 2017-11-11	361	Nashua Vikings	7	Plattsburgh Stars	5	L		Sommaire du Match
54 - 2017-11-14	378	Beauport Caribou	1	Plattsburgh Stars	5	W		Sommaire du Match
55 - 2017-11-15	391	Beauport Caribou	5	Plattsburgh Stars	4	L	X	Sommaire du Match
58 - 2017-11-18	419	Plattsburgh Stars	1	Fredericton Storm	4	L		Sommaire du Match
59 - 2017-11-19	428	Plattsburgh Stars	1	Fredericton Storm	4	L		Sommaire du Match
62 - 2017-11-22	447	Fredericton Storm	3	Plattsburgh Stars	4	W	X	Sommaire du Match
64 - 2017-11-24	460	Plattsburgh Stars	4	Norwich Tigers	4	T	X	Sommaire du Match
65 - 2017-11-25	476	Plattsburgh Stars	5	Norwich Tigers	3	W		Sommaire du Match
68 - 2017-11-28	484	Plattsburgh Stars	7	Springfield Bears	4	W		Sommaire du Match
69 - 2017-11-29	496	Plattsburgh Stars	6	Nashua Vikings	6	T	X	Sommaire du Match
71 - 2017-12-01	512	Boston Schooners	5	Plattsburgh Stars	3	L		Sommaire du Match
72 - 2017-12-02	524	Nashua Vikings	2	Plattsburgh Stars	5	W		Sommaire du Match
75 - 2017-12-05	543	Gatineau Lynx	3	Plattsburgh Stars	6	W		Sommaire du Match
76 - 2017-12-06	547	Gatineau Lynx	5	Plattsburgh Stars	4	L		Sommaire du Match
79 - 2017-12-09	577	Plattsburgh Stars	5	London Bulldogs	4	W	X	Sommaire du Match
80 - 2017-12-10	584	Plattsburgh Stars	2	Jamestown Jets	4	L		Sommaire du Match
82 - 2017-12-12	595	Plattsburgh Stars	7	Kitchener Canadians	5	W		Sommaire du Match
85 - 2017-12-15	619	Connecticut Highlanders	6	Plattsburgh Stars	7	W	X	Sommaire du Match
86 - 2017-12-16	633	Connecticut Highlanders	7	Plattsburgh Stars	4	L		Sommaire du Match
87 - 2017-12-17	644	Plattsburgh Stars	3	Norwich Tigers	2	W	X	Sommaire du Match
97 - 2017-12-27	661	Plattsburgh Stars	1	Springfield Bears	6	L		Sommaire du Match
99 - 2017-12-29	675	Boston Schooners	7	Plattsburgh Stars	6	L		Sommaire du Match
103 - 2018-01-02	707	Connecticut Highlanders	7	Plattsburgh Stars	8	W		Sommaire du Match
104 - 2018-01-03	718	Connecticut Highlanders	1	Plattsburgh Stars	6	W		Sommaire du Match
106 - 2018-01-05	732	Plattsburgh Stars	4	Boston Schooners	2	W		Sommaire du Match
110 - 2018-01-09	764	Detroit Chargers	4	Plattsburgh Stars	3	L	X	Sommaire du Match
111 - 2018-01-10	772	Detroit Chargers	3	Plattsburgh Stars	7	W		Sommaire du Match
113 - 2018-01-12	784	Boston Schooners	2	Plattsburgh Stars	8	W		Sommaire du Match
117 - 2018-01-16	814	Plattsburgh Stars	1	Connecticut Highlanders	4	L		Sommaire du Match
118 - 2018-01-17	823	Plattsburgh Stars	6	Connecticut Highlanders	4	W		Sommaire du Match
121 - 2018-01-20	853	Laval Regents	5	Plattsburgh Stars	3	L		Sommaire du Match
124 - 2018-01-23	869	Moncton Beavers	5	Plattsburgh Stars	5	T	X	Sommaire du Match
127 - 2018-01-26	897	Plattsburgh Stars	6	Laval Regents	4	W		Sommaire du Match
129 - 2018-01-28	914	Plattsburgh Stars	4	Gatineau Lynx	2	W		Sommaire du Match
131 - 2018-01-30	929	Plattsburgh Stars	6	Moncton Beavers	8	L		Sommaire du Match
132 - 2018-01-31	939	Plattsburgh Stars	1	Moncton Beavers	3	L		Sommaire du Match
135 - 2018-02-03	964	Norwich Tigers	6	Plattsburgh Stars	2	L		Sommaire du Match
136 - 2018-02-04	967	Kitchener Canadians	2	Plattsburgh Stars	1	L		Sommaire du Match
138 - 2018-02-06	977	Sherbrooke Pionniers	1	Plattsburgh Stars	2	W		Sommaire du Match
139 - 2018-02-07	984	Sherbrooke Pionniers	2	Plattsburgh Stars	7	W		Sommaire du Match
141 - 2018-02-09	1003	Plattsburgh Stars	4	Springfield Bears	4	T	X	Sommaire du Match
145 - 2018-02-13	1028	Rome Knights	4	Plattsburgh Stars	4	T	X	Sommaire du Match
146 - 2018-02-14	1041	Rome Knights	4	Plattsburgh Stars	3	L		Sommaire du Match
149 - 2018-02-17	1064	Springfield Bears	4	Plattsburgh Stars	4	T	X	Sommaire du Match
152 - 2018-02-20	1082	Plattsburgh Stars	1	Nashua Vikings	5	L		Sommaire du Match
153 - 2018-02-21	1096	Plattsburgh Stars	7	Norwich Tigers	9	L		Sommaire du Match
155 - 2018-02-23	1108	Plattsburgh Stars	9	Boston Schooners	8	W	X	Sommaire du Match
156 - 2018-02-24	1119	Plattsburgh Stars	6	Springfield Bears	7	L	X	Sommaire du Match
159 - 2018-02-27	1145	Springfield Bears	4	Plattsburgh Stars	3	L		Sommaire du Match
164 - 2018-03-04	1190	Nashua Vikings	1	Plattsburgh Stars	5	W		Sommaire du Match
166 - 2018-03-06	1196	Toledo Glaziers	7	Plattsburgh Stars	4	L		Sommaire du Match
167 - 2018-03-07	1205	Toledo Glaziers	6	Plattsburgh Stars	5	L		Sommaire du Match
173 - 2018-03-13	1245	Boston Schooners	5	Plattsburgh Stars	5	T	X	Sommaire du Match
177 - 2018-03-17	1289	Norwich Tigers	7	Plattsburgh Stars	3	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	20	200
Assistance	0	0	0	0	0
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
0	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	1,100,000$	1,100,000$	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$	0$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	6,180$	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$	343,936,614$	343,936,614$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Chris Kinatyan	AGE:17	PO:87	OV:66
*Kyle Goulart	AGE:15	PO:63	OV:66
*Gregory Neyra	AGE:15	PO:74	OV:63
Axel Stigsson	AGE:18	PO:72	OV:63
Ross Cardell	AGE:19	PO:59	OV:63
David Rohling	AGE:16	PO:51	OV:63
Brett Townsell	AGE:19	PO:43	OV:62

Jacob Tansey	AGE:17	PO:54	OV:71
Justin Gann	AGE:16	PO:79	OV:66
*David Fougere	AGE:15	PO:73	OV:65
Josh Brennan	AGE:16	PO:56	OV:62
Zachary Brigham	AGE:19	PO:52	OV:62
Patrick Babin	AGE:16	PO:60	OV:61
Darren Grivas	AGE:18	PO:45	OV:61
Ty Pilarski	AGE:17	PO:77	OV:60
Scott Treinen	AGE:19	PO:56	OV:60

Damian Limbach	AGE:15	PO:56	OV:71
Joel Covington	AGE:17	PO:47	OV:69
Rob Sumerlin	AGE:17	PO:58	OV:68
*Justin Lamb	AGE:16	PO:62	OV:63
Joseph Santulli	AGE:17	PO:57	OV:62
Mike Warga	AGE:16	PO:65	OV:61
*Ethan Denniston	AGE:16	PO:63	OV:61

Défense #1

Défense #2

Gardien

Cody Beck	AGE:17	PO:50	OV:69
*Alexei Mirotny	AGE:15	PO:75	OV:68
*Ivan Panos	AGE:15	PO:76	OV:65
Logan Letersky	AGE:15	PO:58	OV:64
Jeff Sherfey	AGE:16	PO:56	OV:64

Riley Berryhill	AGE:19	PO:49	OV:63
Keith Hesford	AGE:16	PO:62	OV:62
Tristan Wilson	AGE:17	PO:62	OV:62
Jack Tiehen	AGE:20	PO:46	OV:62
Johnny McGillis	AGE:16	PO:69	OV:61

Logan Wetter	AGE:17	PO:55	OV:78
Travis Farro	AGE:20	PO:68	OV:76
Chris Lindemann	AGE:17	PO:60	OV:74
Darin King	AGE:18	PO:49	OV:73
Alex Cimo	AGE:19	PO:46	OV:71

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	R9	R10
17	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
18	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
19	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
20	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
21	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla

[9/15/2018 2:17:29 PM] - Alex Cimo was added to Plattsburgh Stars.
[9/15/2018 2:17:26 PM] - Ethan Denniston was added to Plattsburgh Stars.
[9/15/2018 2:17:26 PM] - Johnny McGillis was added to Plattsburgh Stars.
[9/15/2018 2:17:26 PM] - Patrick Babin was added to Plattsburgh Stars.
[9/15/2018 2:17:26 PM] - Justin Lamb was added to Plattsburgh Stars.
[9/15/2018 2:17:26 PM] - Gregory Neyra was added to Plattsburgh Stars.
[9/15/2018 2:17:26 PM] - Kyle Goulart was added to Plattsburgh Stars.
[9/15/2018 2:17:26 PM] - David Fougere was added to Plattsburgh Stars.
[9/15/2018 2:17:26 PM] - Ivan Panos was added to Plattsburgh Stars.
[9/15/2018 2:17:26 PM] - Alexei Mirotny was added to Plattsburgh Stars.
[9/15/2018 2:16:18 PM] - Alex Cimo was added to Plattsburgh Stars.
[9/15/2018 2:16:17 PM] - Ethan Denniston was added to Plattsburgh Stars.
[9/15/2018 2:16:17 PM] - Johnny McGillis was added to Plattsburgh Stars.
[9/15/2018 2:16:17 PM] - Patrick Babin was added to Plattsburgh Stars.
[9/15/2018 2:16:17 PM] - Justin Lamb was added to Plattsburgh Stars.
[9/15/2018 2:16:17 PM] - Gregory Neyra was added to Plattsburgh Stars.
[9/15/2018 2:16:17 PM] - Kyle Goulart was added to Plattsburgh Stars.
[9/15/2018 2:16:17 PM] - David Fougere was added to Plattsburgh Stars.
[9/15/2018 2:16:17 PM] - Ivan Panos was added to Plattsburgh Stars.
[9/15/2018 2:16:17 PM] - Alexei Mirotny was added to Plattsburgh Stars.
[6/14/2018 10:52:12 PM] - Nathan Maynard was released.
[6/14/2018 10:52:12 PM] - Plattsburgh Stars paid $0 to release Nathan Maynard.
[6/14/2018 10:52:05 PM] - Hunter Chaires was released.
[6/14/2018 10:52:05 PM] - Plattsburgh Stars paid $0 to release Hunter Chaires.

[11/18/2018 2:34:49 PM] Plattsburgh Stars lines for next game are empty. Current rosters/lines are not erased.
[11/18/2018 2:34:49 PM] Game 1289 - Damian Limbach from Plattsburgh Stars is injured (Bruised Right Shoulder) and is out for 1 week.
[11/18/2018 2:34:37 PM] Auto Lines Farm Function has been run for Plattsburgh Jr Stars.
[11/18/2018 2:34:37 PM] Auto Lines Function has been run for Plattsburgh Stars.
[11/18/2018 2:34:33 PM] Auto Roster Function has been run for Plattsburgh Stars.
[11/18/2018 2:34:33 PM] David Rohling of Plattsburgh Stars was sent to farm.
[11/18/2018 2:34:33 PM] Keith Hesford of Plattsburgh Stars was sent to farm.
[11/18/2018 2:34:33 PM] Ross Cardell of Plattsburgh Stars was sent to farm.
[11/18/2018 2:34:33 PM] Darren Grivas of Plattsburgh Stars was sent to farm.
[11/18/2018 2:34:33 PM] Patrick Babin of Plattsburgh Stars was sent to pro.
[11/18/2018 2:34:33 PM] Jack Tiehen of Plattsburgh Stars was sent to pro.
[11/18/2018 2:34:33 PM] Gregory Neyra of Plattsburgh Stars was sent to pro.
[11/18/2018 2:34:33 PM] Axel Stigsson of Plattsburgh Stars was sent to pro.
[11/18/2018 2:34:11 PM] Auto Lines Farm Function has been run for Plattsburgh Jr Stars.
[11/18/2018 2:34:11 PM] Auto Lines Function has been run for Plattsburgh Stars.

Damian Limbach est dehors pour 2 jours à cause de Bruised Right Shoulder Injury.
Alexei Mirotny est dehors pour le reste de la saison à cause de Back Surgery Injury.
Joel Covington est dehors pour 2 semaines à cause de Torn Right MCL Injury.
Jacob Tansey est dehors pour 4 jours à cause de Strained Groin Injury.
Justin Gann est dehors pour 1 mois à cause de Sprained Right Knee 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	72	32	31	5	2	2	0	0	277	269	8	36	17	11	4	2	2	0	0	137	119	18	36	15	20	1	0	0	0	0	140	150	-10	69	277	469	746	0	1	84	110	81	2	2660	872	945	820	23	2431	767	633	1569	198	52	26.26%	197	45	77.16%	4	890	1691	52.63%	896	1646	54.43%	670	1227	54.60%	1481	789	2856	1392	1446	712
08-09	72	33	23	13	1	2	0	0	325	282	43	36	14	14	6	1	1	0	0	151	148	3	36	19	9	7	0	1	0	0	174	134	40	79	325	519	844	1	0	104	116	104	1	3006	1089	997	903	17	3067	977	608	1575	213	48	22.54%	198	40	79.80%	11	999	1770	56.44%	1003	1881	53.32%	744	1361	54.67%	1553	890	4716	2178	1300	663
09-10	72	32	33	4	2	1	0	0	293	317	-24	36	16	15	3	2	0	0	0	149	163	-14	36	16	18	1	0	1	0	0	144	154	-10	68	293	495	788	0	1	82	113	96	2	2783	956	929	888	10	2737	910	626	1544	228	47	20.61%	223	54	75.78%	6	1115	1905	58.53%	996	1734	57.44%	740	1292	57.28%	1576	912	6882	3094	1276	647
10-11	72	25	36	6	1	4	0	0	296	337	-41	36	15	13	4	1	3	0	0	162	167	-5	36	10	23	2	0	1	0	0	134	170	-36	56	296	480	776	4	0	76	125	94	1	2690	964	930	781	15	2577	903	622	1422	227	42	18.50%	193	49	74.61%	6	987	1834	53.82%	869	1655	52.51%	699	1266	55.21%	1556	903	1518	651	1278	644
11-12	72	31	30	5	1	5	0	0	319	331	-12	36	19	13	2	0	2	0	0	162	151	11	36	12	17	3	1	3	0	0	157	180	-23	67	319	516	835	0	0	86	113	119	1	2665	929	893	830	13	2718	979	526	1501	237	48	20.25%	228	61	73.25%	6	785	1873	41.91%	695	1810	38.40%	527	1311	40.20%	1473	823	1604	666	1277	632
12-13	72	23	33	10	4	2	0	0	276	280	-4	36	15	14	5	2	0	0	0	143	132	11	36	8	19	5	2	2	0	0	133	148	-15	56	276	436	712	2	0	73	106	93	4	2542	859	863	790	30	2805	919	579	1520	251	41	16.33%	265	54	79.62%	7	708	1724	41.07%	781	1933	40.40%	452	1161	38.93%	1455	805	1655	679	1271	623
13-14	72	36	27	2	2	5	0	0	337	310	27	36	21	11	1	2	1	0	0	182	155	27	36	15	16	1	0	4	0	0	155	155	0	74	337	542	879	1	0	111	115	109	2	2660	1011	853	790	6	2647	850	1078	1494	265	48	18.11%	283	59	79.15%	5	896	1740	51.49%	910	1853	49.11%	664	1283	51.75%	1517	859	1551	666	1269	628
14-15	72	30	28	5	5	4	0	0	339	310	29	36	13	12	4	3	4	0	0	157	146	11	36	17	16	1	2	0	0	0	182	164	18	65	339	545	884	1	0	94	132	108	5	2653	876	881	882	14	2497	831	826	1503	278	46	16.55%	243	42	82.72%	7	1023	1835	55.75%	938	1745	53.75%	690	1274	54.16%	1547	888	1543	659	1266	634
15-16	72	37	19	4	8	4	0	0	298	247	51	36	19	8	2	6	1	0	0	161	114	47	36	18	11	2	2	3	0	0	137	133	4	78	298	469	767	2	0	66	103	121	8	2598	885	850	836	27	2516	831	730	1490	228	41	17.98%	262	38	85.50%	9	948	1777	53.35%	919	1768	51.98%	672	1193	56.33%	1585	922	1510	657	1265	638
16-17	72	36	25	2	2	7	0	0	336	333	3	36	22	8	1	0	5	0	0	183	155	28	36	14	17	1	2	2	0	0	153	178	-25	74	336	543	879	1	0	82	123	129	2	2575	845	865	855	10	2652	864	670	1447	224	33	14.73%	272	36	86.76%	6	861	1730	49.77%	960	1888	50.85%	682	1336	51.05%	1502	857	1574	668	1268	616
16	72	24	30	8	5	5	0	0	324	328	-4	36	11	15	4	2	4	0	0	165	162	3	36	13	15	4	3	1	0	0	159	166	-7	66	324	532	856	3	0	84	120	115	5	2599	863	879	824	33	2617	897	944	1494	254	57	22.44%	279	56	79.93%	8	988	1854	53.29%	938	1957	47.93%	640	1331	48.08%	1554	900	1555	667	1278	628
Total Saison Régulière	792	339	315	64	33	41	0	0	3420	3344	76	396	182	134	36	21	23	0	0	1752	1612	140	396	157	181	28	12	18	0	0	1668	1732	-64	752	3420	5546	8966	15	2	942	1276	1169	33	29431	10149	9885	9199	198	29264	9728	7842	16559	2603	503	19.32%	2643	534	79.80%	75	10200	19733	51.69%	9905	19870	49.85%	7180	14035	51.16%	16803	9553	26971	11981	14200	7069

Année	R1	R2	R3	R4	R5	R6	R7	R8	R9	R10
17	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
18	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
19	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
20	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
21	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla

Année	R1	R2	R3	R4	R5	R6	R7	R8	R9	R10
17	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
18	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
19	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
20	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
21	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla

Année	R1	R2	R3	R4	R5	R6	R7	R8	R9	R10
17	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
18	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
19	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
20	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla
21	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla	Pla