ASHL - Adirondack Phantoms

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	Alexis Lafrenière		X	X		100.00	79	40	83	82	80	82	81	84	65	72	74	66	76	72	80	8	50	0	0
2	Mike Winther	X				100.00	72	37	84	88	73	80	75	77	76	72	69	66	77	77	78	70	50	0	0
3	Jens Lööke (R)		X	X		100.00	66	31	91	79	77	82	78	76	65	69	68	68	70	70	68	4	50	0	0
4	Michael Parks			X		100.00	81	36	80	78	81	83	83	74	64	69	69	69	78	76	76	70	50	0	0
5	Kyle Okposo			X		100.00	75	34	78	72	78	74	74	75	62	69	70	67	78	99	99	1	50	0	0
6	Trevor Zegras (R)	X				100.00	76	44	77	81	74	85	86	81	74	75	71	66	82	68	64	9	50	0	0
7	Peter Mueller		X	X		100.00	64	30	85	78	72	73	73	79	76	69	69	64	85	99	93	1	50	0	0
8	Fredrik Karlström (R)	X				100.00	68	25	92	78	81	81	79	79	76	72	73	67	80	68	64	6	50	0	0
9	Drew Shore	X		X		100.00	64	30	90	78	81	83	84	79	78	71	72	65	78	92	92	70	50	0	0
10	Zach Budish	X		X		100.00	86	43	75	75	84	76	75	74	68	69	69	67	72	88	86	70	50	0	0
11	Alexis Loiseau	X				100.00	74	38	79	82	76	75	72	79	74	72	71	67	74	75	78	70	50	0	0
12	Byron Froese	X				100.00	74	35	83	74	81	79	79	74	75	69	67	73	70	74	75	1	50	0	0
13	Keegan Kolesar (R)			X		100.00	88	48	74	74	90	77	79	77	67	68	71	65	70	70	70	5	50	0	0
14	Corey Schueneman				X	100.00	78	45	77	74	78	80	80	77	50	69	63	81	55	71	76	70	50	0	0
15	Daniel Brickley				X	100.00	91	43	73	74	86	82	79	76	50	74	69	87	62	69	71	5	50	0	0
16	Kirill Kirsanov (R)				X	100.00	77	40	85	74	79	81	80	74	50	71	60	83	60	67	72	6	50	0	0
17	Jordie Benn				X	100.00	78	46	74	68	74	71	71	71	52	66	63	84	63	86	88	1	50	0	0
18	Teemu Eronen				X	100.00	70	40	83	76	75	77	71	77	50	71	65	84	68	88	89	1	50	0	0
19	Brian Lashoff				X	100.00	88	48	75	68	84	74	75	75	52	70	65	86	57	88	88	1	50	0	0
20	Chris Martenet (R)				X	100.00	93	47	70	70	91	75	69	69	50	65	63	86	58	70	68	3	50	0	0
Rayé
1	Gerald Mayhew	X		X		71.25	73	43	70	76	72	81	78	78	75	71	73	66	78	79	80	1	50	0	0
2	Brendan Ranford		X	X		100.00	64	32	90	83	78	85	85	79	73	71	71	67	79	94	94	1	50	0	0
3	Alexandre Mallet	X	X	X		100.00	78	35	81	75	78	75	74	75	75	68	68	66	70	76	78	70	50	0	0
4	Radovan Bondra (R)		X	X		100.00	88	48	70	73	85	75	72	73	65	67	66	69	66	67	65	3	50	0	0

	MOYENNE D'ÉQUIPE					98.79	77	39	80	76	80	79	77	76	65	70	68	72	71	78	79	23	50	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 Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Anthony Brodeur	100.00	85	79	81	79	85	81	80	80	81	81	81	57	57	4	50	0	0
2	Jakub Kovar	99.00	84	86	83	86	87	82	84	83	84	86	89	68	67	1	50	0	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	85	83	82	83	86	82	82	82	83	84	85	63	62	3	50	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Daniel Brière	73	76	88	82	78	77	70	CAN	44	3	1,200,000$

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	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Alexis Lafrenière	Adirondack Phantoms (PHI)	LW/RW	60	35	40	75	-5	24	0	97	67	236	88	146	14.83%	14	1354	22.57	12	12	24	65	189	0	3	3	11	234	4	1	47.37%	361	140	17	2	1.11	1	3	0	8	1	2
2	Drew Shore	Adirondack Phantoms (PHI)	C/RW	63	24	40	64	-2	6	0	35	66	143	70	116	16.78%	28	1312	20.84	2	18	20	27	200	4	1	5	9	245	4	2	53.73%	1059	87	18	0	0.98	1	4	0	2	3	5
3	Peter Mueller	Adirondack Phantoms (PHI)	LW/RW	63	15	30	45	-11	10	0	53	39	146	46	95	10.27%	19	1151	18.28	8	6	14	36	203	0	0	0	2	61	1	0	58.33%	60	69	11	0	0.78	0	1	0	4	0	1
4	Fredrik Karlström	Adirondack Phantoms (PHI)	C	63	21	14	35	-17	2	0	35	47	127	44	65	16.54%	33	1047	16.63	0	1	1	3	18	0	0	0	0	3	4	2	46.53%	303	62	30	0	0.67	0	1	0	3	1	4
5	Brian Lashoff	Adirondack Phantoms (PHI)	D	63	6	23	29	-23	58	0	148	149	107	41	54	5.61%	151	1612	25.59	2	5	7	21	217	1	0	1	3	200	2	0	0.00%	0	4	94	0	0.36	0	0	0	1	1	0
6	Kyle Okposo	Adirondack Phantoms (PHI)	RW	63	8	17	25	-12	36	0	49	53	110	35	98	7.27%	26	913	14.50	0	0	0	0	6	1	0	1	3	29	0	1	38.89%	54	38	15	0	0.55	0	1	0	0	2	0
7	Jens Lööke	Adirondack Phantoms (PHI)	LW/RW	63	4	17	21	-23	6	0	45	53	141	39	74	2.84%	17	1055	16.76	2	5	7	29	169	0	1	1	2	26	0	0	35.56%	45	77	14	0	0.40	0	0	0	0	0	0
8	Gerald Mayhew	Adirondack Phantoms (PHI)	C/RW	47	13	8	21	-4	22	0	51	22	86	36	58	15.12%	7	481	10.24	0	0	0	0	0	0	0	0	0	2	3	2	45.00%	280	52	6	0	0.87	0	0	0	3	1	1
9	Mike Winther	Adirondack Phantoms (PHI)	C	56	7	13	20	-18	6	0	63	54	134	39	88	5.22%	17	900	16.08	2	5	7	20	136	1	0	1	7	63	0	0	50.82%	612	106	11	0	0.44	1	1	0	0	2	0
10	Michael Parks	Adirondack Phantoms (PHI)	RW	63	9	10	19	-29	22	0	97	50	129	47	85	6.98%	17	1034	16.43	3	4	7	35	187	0	0	0	1	1	1	0	52.27%	44	76	12	0	0.37	0	1	0	0	0	1
11	Teemu Eronen	Adirondack Phantoms (PHI)	D	49	4	13	17	-14	12	0	47	136	84	34	38	4.76%	99	1219	24.90	3	6	9	27	172	0	1	1	2	155	1	0	0.00%	0	8	65	0	0.28	0	0	0	0	1	0
12	Daniel Brickley	Adirondack Phantoms (PHI)	D	26	2	12	14	-3	26	0	41	56	38	16	19	5.26%	45	576	22.18	1	3	4	11	69	0	1	1	1	74	1	0	0.00%	0	8	39	0	0.49	0	0	0	0	0	1
13	Alexis Loiseau	Adirondack Phantoms (PHI)	C	63	7	7	14	-5	14	0	34	36	97	28	67	7.22%	6	499	7.93	1	1	2	5	30	0	0	0	0	0	0	4	50.93%	324	70	4	0	0.56	0	0	0	0	2	1
14	Alexandre Mallet	Adirondack Phantoms (PHI)	C/LW/RW	42	2	10	12	-5	8	0	43	28	52	23	49	3.85%	6	519	12.36	0	0	0	0	0	0	0	0	0	0	0	0	54.55%	22	25	8	0	0.46	0	0	0	0	1	0
15	Corey Schueneman	Adirondack Phantoms (PHI)	D	41	1	10	11	-17	20	0	35	76	42	16	28	2.38%	55	754	18.40	0	2	2	8	82	0	0	0	1	89	0	0	0.00%	0	2	27	0	0.29	0	0	0	0	0	0
16	Zach Budish	Adirondack Phantoms (PHI)	C/RW	63	4	7	11	-13	28	0	69	35	58	21	44	6.90%	8	678	10.77	0	0	0	0	0	0	0	0	0	0	0	0	52.17%	69	30	18	0	0.32	0	0	0	0	0	1
17	Chris Martenet	Adirondack Phantoms (PHI)	D	58	3	7	10	-24	58	0	105	122	65	35	32	4.62%	95	1110	19.15	2	1	3	12	143	0	0	0	0	101	0	0	0.00%	0	5	54	0	0.18	0	0	0	0	0	1
18	Kirill Kirsanov	Adirondack Phantoms (PHI)	D	52	2	7	9	-2	16	0	40	96	71	31	35	2.82%	72	880	16.93	2	0	2	4	53	0	0	0	2	51	0	0	0.00%	0	3	46	0	0.20	0	0	0	0	0	2
19	Jordie Benn	Adirondack Phantoms (PHI)	D	34	4	5	9	-6	12	0	28	72	32	12	10	12.50%	51	505	14.88	1	0	1	2	32	0	0	0	0	30	1	0	0.00%	0	4	36	0	0.36	0	0	0	0	1	0
20	Reid Boucher	Philadelphia Flyers	LW/RW	15	4	5	9	-4	0	0	18	16	61	19	42	6.56%	3	347	23.18	3	2	5	11	46	0	0	0	1	57	0	0	50.98%	102	39	8	0	0.52	0	0	0	0	0	0
21	Radovan Bondra	Adirondack Phantoms (PHI)	LW/RW	56	3	4	7	-8	43	5	56	39	56	13	27	5.36%	12	509	9.09	0	0	0	0	0	0	0	0	0	0	0	0	42.86%	21	15	12	0	0.27	0	0	1	0	0	0
22	Trevor Zegras	Adirondack Phantoms (PHI)	C	2	3	0	3	-1	0	0	4	2	9	3	3	33.33%	4	44	22.02	2	0	2	5	3	0	0	0	0	8	0	0	52.38%	42	5	1	0	1.36	0	0	0	0	0	1
23	Markus Niemelainen	Philadelphia Flyers	D	24	0	3	3	-3	8	0	35	64	24	17	16	0.00%	30	495	20.65	0	1	1	4	66	0	1	1	0	59	0	0	0.00%	0	3	24	0	0.12	0	0	0	0	0	0
24	Keegan Kolesar	Adirondack Phantoms (PHI)	RW	63	2	1	3	1	8	0	10	6	23	7	20	8.70%	2	179	2.85	0	0	0	0	0	0	1	1	0	32	1	0	50.00%	20	10	0	0	0.33	0	0	0	1	0	0
25	Brendan Ranford	Adirondack Phantoms (PHI)	LW/RW	4	1	1	2	0	0	0	6	6	5	2	10	20.00%	1	81	20.50	0	1	1	2	17	0	0	0	0	18	0	0	39.39%	33	9	0	0	0.49	0	0	0	0	1	0
26	Byron Froese	Adirondack Phantoms (PHI)	C	61	0	0	0	-6	0	0	7	1	9	1	2	0.00%	2	68	1.13	0	0	0	2	10	0	0	0	1	5	0	0	61.11%	18	5	1	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1257	184	304	488	-254	445	5	1251	1391	2085	763	1321	8.82%	820	19336	15.38	46	73	119	329	2057	7	9	16	46	1553	23	12	50.25%	3469	952	571	2	0.50	3	12	1	22	17	21

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	PS %	PSA	ST	BG	S1	S2	S3
1	Jakub Kovar	Adirondack Phantoms (PHI)	63	25	31	6	0.891	3.39	3483	2	1	197	1801	981	1	0.692	13	63	0	5	5	3
2	Anthony Brodeur	Adirondack Phantoms (PHI)	11	0	1	0	0.801	5.56	324	0	0	30	151	82	0	0.000	0	0	63	0	0	0
Stats d'équipe Total ou en Moyenne			74	25	32	6	0.884	3.58	3807	2	1	227	1952	1063	1	0.692	13	63	63	5	5	3

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	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3
Alexandre Mallet	Adirondack Phantoms (PHI)	C/LW/RW	30	1991-01-22 04:34:51	No	195 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No	750,000$
Alexis Lafrenière	Adirondack Phantoms (PHI)	LW/RW	21	2000-01-02 10:49:47	No	192 Lbs	6 ft1	No	No	No	2	Pro & Farm	950,000$	228,796$	950,000$	228,796$	0$	0$	No	950,000$
Alexis Loiseau	Adirondack Phantoms (PHI)	C	28	1993-01-22 16:01:11	No	179 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No	750,000$
Anthony Brodeur	Adirondack Phantoms (PHI)	G	27	1994-01-22 07:21:10	No	194 Lbs	5 ft10	No	No	No	1	Pro & Farm	800,000$	192,670$	800,000$	192,670$	0$	0$	No
Brendan Ranford	Adirondack Phantoms (PHI)	LW/RW	30	1991-01-22 05:25:43	No	182 Lbs	5 ft11	No	No	No	1	Pro & Farm	800,000$	192,670$	800,000$	192,670$	0$	0$	No
Brian Lashoff	Adirondack Phantoms (PHI)	D	32	1989-01-22 04:09:40	No	208 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No
Byron Froese	Adirondack Phantoms (PHI)	C	31	1990-01-22 02:07:30	No	198 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	240,838$	1,000,000$	240,838$	0$	0$	No
Chris Martenet	Adirondack Phantoms (PHI)	D	26	1995-01-22 01:57:24	Yes	216 Lbs	6 ft7	No	No	No	3	Pro & Farm	900,000$	216,754$	900,000$	216,754$	0$	0$	No	900,000$	900,000$
Corey Schueneman	Adirondack Phantoms (PHI)	D	27	1994-01-02 12:50:09	No	201 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No
Daniel Brickley	Adirondack Phantoms (PHI)	D	27	1994-01-22 11:12:14	No	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,500,000$	361,257$	1,500,000$	361,257$	0$	0$	No	1,500,000$	1,500,000$
Drew Shore	Adirondack Phantoms (PHI)	C/RW	31	1990-01-22 15:55:26	No	190 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No	750,000$
Fredrik Karlström	Adirondack Phantoms (PHI)	C	24	1997-01-02 05:22:47	Yes	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,000,000$	240,838$	1,000,000$	240,838$	0$	0$	No
Gerald Mayhew (Sur la Masse Salariale)	Adirondack Phantoms (PHI)	C/RW	30	1991-01-02 10:23:04	No	170 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,770,000$	426,283$	1,770,000$	426,283$	0$	0$	Yes
Jakub Kovar	Adirondack Phantoms (PHI)	G	34	1987-01-22 02:33:31	No	201 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No	750,000$
Jens Lööke	Adirondack Phantoms (PHI)	LW/RW	25	1996-01-02 05:01:44	Yes	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No
Jordie Benn	Adirondack Phantoms (PHI)	D	35	1986-01-22 13:40:58	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No
Keegan Kolesar	Adirondack Phantoms (PHI)	RW	25	1996-01-22 03:29:26	Yes	227 Lbs	6 ft2	No	No	No	1	Pro & Farm	950,000$	228,796$	950,000$	228,796$	0$	0$	No
Kirill Kirsanov	Adirondack Phantoms (PHI)	D	20	2001-01-02 01:14:35	Yes	198 Lbs	6 ft1	No	No	No	3	Pro & Farm	850,000$	204,712$	850,000$	204,712$	0$	0$	No	850,000$	850,000$
Kyle Okposo	Adirondack Phantoms (PHI)	RW	34	1987-01-22 00:29:38	No	210 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No
Michael Parks	Adirondack Phantoms (PHI)	RW	30	1991-01-22 10:15:43	No	196 Lbs	6 ft0	Yes	No	No	2	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No	750,000$
Mike Winther	Adirondack Phantoms (PHI)	C	28	1993-01-22 07:52:34	No	170 Lbs	5 ft11	Yes	No	No	2	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No	750,000$
Peter Mueller	Adirondack Phantoms (PHI)	LW/RW	34	1987-01-22 09:55:31	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No
Radovan Bondra	Adirondack Phantoms (PHI)	LW/RW	25	1996-01-22 10:25:16	Yes	216 Lbs	6 ft5	No	No	No	1	Pro & Farm	700,000$	168,586$	700,000$	168,586$	0$	0$	No
Teemu Eronen	Adirondack Phantoms (PHI)	D	32	1989-01-22 20:03:05	No	180 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,950,000$	469,634$	1,950,000$	469,634$	0$	0$	No
Trevor Zegras	Adirondack Phantoms (PHI)	C	21	2000-01-02 00:35:15	Yes	170 Lbs	6 ft0	No	No	No	2	Pro & Farm	950,000$	228,796$	950,000$	228,796$	0$	0$	No	950,000$
Zach Budish	Adirondack Phantoms (PHI)	C/RW	31	1990-01-22 06:02:20	No	214 Lbs	6 ft3	Yes	No	No	2	Pro & Farm	750,000$	180,628$	750,000$	180,628$	0$	0$	No	750,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	28.38	196 Lbs	6 ft1	1.58	918,077$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alexis Lafrenière	Trevor Zegras	Peter Mueller
2	Jens Lööke	Mike Winther	Michael Parks
3	Zach Budish	Alexis Loiseau	Kyle Okposo
4	Alexis Lafrenière	Fredrik Karlström	Zach Budish

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brian Lashoff	Teemu Eronen
2	Corey Schueneman	Chris Martenet
3	Kirill Kirsanov	Fredrik Karlström
4	Brian Lashoff	Teemu Eronen

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Alexis Lafrenière	Trevor Zegras	Peter Mueller
2	Jens Lööke	Mike Winther	Michael Parks

Défense en Avantage Numérique
Ligne #	Défense	Défense
1	Brian Lashoff	Teemu Eronen
2	Corey Schueneman	Chris Martenet

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Alexis Lafrenière	Trevor Zegras
2	Mike Winther	Peter Mueller

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brian Lashoff	Teemu Eronen
2	Corey Schueneman	Chris Martenet

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Alexis Lafrenière	Brian Lashoff	Teemu Eronen
2	Drew Shore	Corey Schueneman	Chris Martenet

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Trevor Zegras	Alexis Lafrenière
2	Mike Winther	Peter Mueller

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brian Lashoff	Teemu Eronen
2	Corey Schueneman	Chris Martenet

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alexis Lafrenière	Trevor Zegras	Peter Mueller	Brian Lashoff	Teemu Eronen

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Alexis Lafrenière	Trevor Zegras	Peter Mueller	Brian Lashoff	Teemu Eronen

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Trevor Zegras, Byron Froese, Keegan Kolesar	Alexis Loiseau, Byron Froese	Keegan Kolesar

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brian Lashoff, Corey Schueneman, Chris Martenet	Teemu Eronen	Corey Schueneman, Chris Martenet

Tirs de Pénalité
Alexis Lafrenière, Trevor Zegras, Mike Winther, Peter Mueller, Michael Parks

Gardien
#1 : Jakub Kovar, #2 : Anthony Brodeur

Lignes d'Attaque Perso. en Prol.
Alexis Lafrenière, Trevor Zegras, Mike Winther, Peter Mueller, Michael Parks, Kyle Okposo, Kyle Okposo, Byron Froese, Fredrik Karlström, Zach Budish, Alexis Loiseau

Lignes de Défense Perso. en Prol.
Brian Lashoff, Teemu Eronen, Corey Schueneman, Chris Martenet, Kirill Kirsanov

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	Albany Devils	6	3	2	0	0	0	1	0	25	17	8	3	2	0	0	0	0	1	0	17	8	9	3	1	2	0	0	0	0	0	8	9	-1	8	0.667	25	39	64	0	0	60	54	61	6	187	600	695	691	24	178	74	32	121	23	6	26.09%	16	3	81.25%	1	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
2	Binghamton Senators	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	7	11	18	0	0	60	54	61	6	69	600	695	691	24	59	32	12	43	9	2	22.22%	6	1	83.33%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
3	Blainville-Boisbriand Armada	1	0	1	0	0	0	0	0	3	8	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	3	6	9	0	0	60	54	61	6	36	600	695	691	24	41	12	8	15	5	1	20.00%	4	2	50.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
4	Bridgeport Sound Tigers	5	3	1	0	1	0	0	0	15	9	6	3	1	1	0	1	0	0	0	7	6	1	2	2	0	0	0	0	0	0	8	3	5	8	0.800	15	25	40	0	1	60	54	61	6	156	600	695	691	24	124	61	20	121	13	2	15.38%	10	0	100.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
5	Charlotte Checkers	3	0	3	0	0	0	0	0	8	16	-8	1	0	1	0	0	0	0	0	5	6	-1	2	0	2	0	0	0	0	0	3	10	-7	0	0.000	8	13	21	0	0	60	54	61	6	94	600	695	691	24	105	56	24	43	15	4	26.67%	12	2	83.33%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
6	Chicago Wolves	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	4	-1	1	0.500	3	6	9	0	0	60	54	61	6	38	600	695	691	24	28	13	6	29	4	0	0.00%	3	0	100.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
7	Chisinau Pelicans	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	60	54	61	6	29	600	695	691	24	40	12	8	23	3	0	0.00%	4	0	100.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
8	Connecticut Whale	6	0	4	0	1	1	0	0	13	23	-10	3	0	2	0	0	1	0	0	7	13	-6	3	0	2	0	1	0	0	0	6	10	-4	3	0.250	13	23	36	0	0	60	54	61	6	174	600	695	691	24	194	87	44	106	26	5	19.23%	22	9	59.09%	1	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
9	Grand Rapids Griffins	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	60	54	61	6	33	600	695	691	24	29	10	4	25	5	1	20.00%	2	0	100.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
10	Henderson Silver Knights	2	0	2	0	0	0	0	0	6	14	-8	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	6	9	15	0	0	60	54	61	6	72	600	695	691	24	68	28	12	42	10	3	30.00%	6	2	66.67%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
11	Joliette Sportif	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	60	54	61	6	33	600	695	691	24	41	10	14	18	2	0	0.00%	7	2	71.43%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
12	Lake Erie Monsters	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	60	54	61	6	36	600	695	691	24	25	8	2	20	8	2	25.00%	1	0	100.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
13	Laval Chiefs	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	1.000	5	9	14	0	0	60	54	61	6	35	600	695	691	24	35	13	8	10	3	0	0.00%	4	1	75.00%	1	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
14	Manitoba Moose	2	1	1	0	0	0	0	0	7	12	-5	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	8	-7	2	0.500	7	10	17	0	0	60	54	61	6	56	600	695	691	24	65	25	12	36	12	2	16.67%	6	3	50.00%	1	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
15	Mercer Island Hafgufa	2	0	2	0	0	0	0	0	7	13	-6	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	7	11	18	0	0	60	54	61	6	69	600	695	691	24	65	26	16	31	5	0	0.00%	8	3	62.50%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
16	Milwaukee Admirals	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	60	54	61	6	32	600	695	691	24	26	10	12	21	2	0	0.00%	6	1	83.33%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
17	Norfolk Admirals	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	60	54	61	6	30	600	695	691	24	35	15	4	22	5	0	0.00%	2	1	50.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
18	Nunavik Natturaliit	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	4	6	0	0	60	54	61	6	39	600	695	691	24	33	9	2	30	6	1	16.67%	1	0	100.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
19	Oklahoma City Barons	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	60	54	61	6	35	600	695	691	24	25	10	12	19	4	1	25.00%	6	0	100.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
20	Providence Bruins	4	0	4	0	0	0	0	0	10	19	-9	2	0	2	0	0	0	0	0	6	9	-3	2	0	2	0	0	0	0	0	4	10	-6	0	0.000	10	16	26	0	0	60	54	61	6	128	600	695	691	24	120	53	32	69	17	1	5.88%	15	1	93.33%	1	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
21	Roberval Dwarfs	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	60	54	61	6	28	600	695	691	24	26	9	8	18	1	0	0.00%	4	1	75.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
22	Rochester Americans	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	2	3	5	0	0	60	54	61	6	57	600	695	691	24	54	15	10	47	10	1	10.00%	5	3	40.00%	1	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
23	Rouyn-Noranda Huskies	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	2	4	0	0	60	54	61	6	35	600	695	691	24	35	12	6	14	2	1	50.00%	3	0	100.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
24	San Antonio Rampage	4	2	2	0	0	0	0	0	12	13	-1	2	2	0	0	0	0	0	0	9	5	4	2	0	2	0	0	0	0	0	3	8	-5	4	0.500	12	21	33	0	0	60	54	61	6	117	600	695	691	24	133	55	28	79	14	4	28.57%	14	2	85.71%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
25	Springfield Falcons	5	3	1	0	0	0	1	0	19	15	4	4	3	1	0	0	0	0	0	17	14	3	1	0	0	0	0	0	1	0	2	1	1	8	0.800	19	30	49	0	0	60	54	61	6	160	600	695	691	24	138	46	40	99	19	3	15.79%	20	1	95.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
26	The Nuuk Vikings	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	60	54	61	6	23	600	695	691	24	25	15	8	15	4	0	0.00%	3	0	100.00%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
	Total	63	20	32	0	3	4	2	2	180	229	-49	32	13	13	0	1	2	1	2	105	113	-8	31	7	19	0	2	2	1	0	75	116	-41	56	0.444	180	297	477	0	1	60	54	61	6	1998	600	695	691	24	1952	792	441	1219	241	41	17.01%	216	41	81.02%	7	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
28	Trois-Rivières Lions	2	0	2	0	0	0	0	0	5	13	-8	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	5	8	13	0	0	60	54	61	6	65	600	695	691	24	67	29	23	37	5	0	0.00%	9	2	77.78%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
29	Verdun Junior	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	60	54	61	6	34	600	695	691	24	33	14	10	23	3	0	0.00%	5	0	100.00%	1	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
30	Wilkes-Barre/Scranton Penguins	3	1	0	0	0	1	0	1	8	8	0	2	1	0	0	0	0	0	1	5	4	1	1	0	0	0	0	1	0	0	3	4	-1	4	0.667	8	14	22	0	0	60	54	61	6	98	600	695	691	24	105	33	24	43	6	1	16.67%	12	1	91.67%	0	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
	_Since Last GM Reset	63	20	32	0	3	4	2	2	180	229	-49	32	13	13	0	1	2	1	2	105	113	-8	31	7	19	0	2	2	1	0	75	116	-41	56	0.444	180	297	477	0	1	60	54	61	6	1998	600	695	691	24	1952	792	441	1219	241	41	17.01%	216	41	81.02%	7	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
	_Vs Conference	46	14	25	0	2	2	2	1	137	171	-34	25	10	11	0	1	1	1	1	88	92	-4	21	4	14	0	1	1	1	0	49	79	-30	39	0.424	137	223	360	0	1	60	54	61	6	1433	600	695	691	24	1409	584	310	878	179	33	18.44%	154	31	79.87%	5	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473
	_Vs Division	8	9	12	0	2	1	2	0	20	32	-12	3	6	6	0	1	1	1	0	11	8	3	5	3	6	0	1	0	1	0	9	24	-15	27	1.688	20	34	54	0	0	60	54	61	6	266	600	695	691	24	252	88	50	170	41	7	17.07%	25	6	76.00%	2	672	1299	51.73%	602	1211	49.71%	417	829	50.30%	1417	907	1438	517	957	473

			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
63	56	L2	180	297	477	1998	1952	792	441	1219	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
63	20	32	3	4	2	2	180	229

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	13	13	1	2	1	2	105	113

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	7	19	2	2	1	0	75	116

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	5	0	2	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
241	41	17.01%	216	41	81.02%	7

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
600	695	691	24	60	54	61	6

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
672	1299	51.73%	602	1211	49.71%	417	829	50.30%

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
1417	907	1438	517	957	473

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	Lien
3 - 2022-09-07	14	Springfield Falcons	2	Adirondack Phantoms	4	W			Sommaire du Match
5 - 2022-09-09	30	Adirondack Phantoms	3	Bridgeport Sound Tigers	1	W			Sommaire du Match
7 - 2022-09-11	43	Connecticut Whale	5	Adirondack Phantoms	2	L			Sommaire du Match
8 - 2022-09-12	58	Adirondack Phantoms	1	Albany Devils	4	L			Sommaire du Match
11 - 2022-09-15	81	Albany Devils	1	Adirondack Phantoms	2	W	X	X	Sommaire du Match
14 - 2022-09-18	99	Wilkes-Barre/Scranton Penguins	1	Adirondack Phantoms	3	W			Sommaire du Match
16 - 2022-09-20	110	Adirondack Phantoms	2	Connecticut Whale	6	L			Sommaire du Match
20 - 2022-09-24	132	Adirondack Phantoms	5	Bridgeport Sound Tigers	2	W			Sommaire du Match
21 - 2022-09-25	147	Springfield Falcons	6	Adirondack Phantoms	3	L			Sommaire du Match
23 - 2022-09-27	164	Adirondack Phantoms	3	Wilkes-Barre/Scranton Penguins	4	L	X		Sommaire du Match
25 - 2022-09-29	179	Bridgeport Sound Tigers	0	Adirondack Phantoms	1	W			Sommaire du Match
26 - 2022-09-30	182	Adirondack Phantoms	3	Providence Bruins	8	L			Sommaire du Match
30 - 2022-10-04	210	Adirondack Phantoms	3	Blainville-Boisbriand Armada	8	L			Sommaire du Match
33 - 2022-10-07	222	San Antonio Rampage	1	Adirondack Phantoms	3	W			Sommaire du Match
34 - 2022-10-08	242	Providence Bruins	4	Adirondack Phantoms	2	L			Sommaire du Match
37 - 2022-10-11	264	Adirondack Phantoms	5	Albany Devils	1	W			Sommaire du Match
38 - 2022-10-12	275	Binghamton Senators	3	Adirondack Phantoms	4	W			Sommaire du Match
41 - 2022-10-15	294	Adirondack Phantoms	3	Trois-Rivières Lions	7	L			Sommaire du Match
42 - 2022-10-16	308	Manitoba Moose	4	Adirondack Phantoms	6	W			Sommaire du Match
46 - 2022-10-20	333	Adirondack Phantoms	5	Laval Chiefs	4	W	X		Sommaire du Match
47 - 2022-10-21	341	Trois-Rivières Lions	6	Adirondack Phantoms	2	L			Sommaire du Match
49 - 2022-10-23	362	Adirondack Phantoms	3	Mercer Island Hafgufa	6	L			Sommaire du Match
50 - 2022-10-24	375	Rochester Americans	6	Adirondack Phantoms	1	L			Sommaire du Match
53 - 2022-10-27	392	Adirondack Phantoms	1	Grand Rapids Griffins	3	L			Sommaire du Match
55 - 2022-10-29	406	Adirondack Phantoms	1	Milwaukee Admirals	4	L			Sommaire du Match
56 - 2022-10-30	416	Charlotte Checkers	6	Adirondack Phantoms	5	L			Sommaire du Match
59 - 2022-11-02	436	Adirondack Phantoms	2	Chisinau Pelicans	4	L			Sommaire du Match
61 - 2022-11-04	448	Springfield Falcons	3	Adirondack Phantoms	5	W			Sommaire du Match
64 - 2022-11-07	469	Adirondack Phantoms	4	Henderson Silver Knights	7	L			Sommaire du Match
65 - 2022-11-08	481	San Antonio Rampage	4	Adirondack Phantoms	6	W			Sommaire du Match
70 - 2022-11-13	509	Adirondack Phantoms	3	Chicago Wolves	4	L	X		Sommaire du Match
71 - 2022-11-14	517	Springfield Falcons	3	Adirondack Phantoms	5	W			Sommaire du Match
74 - 2022-11-17	537	Adirondack Phantoms	2	The Nuuk Vikings	1	W			Sommaire du Match
76 - 2022-11-19	546	Providence Bruins	5	Adirondack Phantoms	4	L			Sommaire du Match
79 - 2022-11-22	561	Adirondack Phantoms	1	San Antonio Rampage	4	L			Sommaire du Match
80 - 2022-11-23	576	Adirondack Phantoms	2	Albany Devils	4	L			Sommaire du Match
83 - 2022-11-26	587	Henderson Silver Knights	7	Adirondack Phantoms	2	L			Sommaire du Match
85 - 2022-11-28	608	Mercer Island Hafgufa	7	Adirondack Phantoms	4	L			Sommaire du Match
86 - 2022-11-29	623	Adirondack Phantoms	3	Oklahoma City Barons	1	W			Sommaire du Match
88 - 2022-12-01	637	Adirondack Phantoms	2	Springfield Falcons	1	W	X	X	Sommaire du Match
90 - 2022-12-03	650	Roberval Dwarfs	1	Adirondack Phantoms	2	W			Sommaire du Match
94 - 2022-12-07	679	Bridgeport Sound Tigers	3	Adirondack Phantoms	2	L			Sommaire du Match
98 - 2022-12-11	706	Lake Erie Monsters	1	Adirondack Phantoms	3	W			Sommaire du Match
100 - 2022-12-13	714	Adirondack Phantoms	1	Rochester Americans	2	L			Sommaire du Match
102 - 2022-12-15	735	Bridgeport Sound Tigers	3	Adirondack Phantoms	4	W	X		Sommaire du Match
104 - 2022-12-17	747	Adirondack Phantoms	1	Providence Bruins	2	L			Sommaire du Match
106 - 2022-12-19	767	Adirondack Phantoms	3	Verdun Junior	1	W			Sommaire du Match
109 - 2022-12-22	780	Wilkes-Barre/Scranton Penguins	3	Adirondack Phantoms	2	L	X	X	Sommaire du Match
112 - 2022-12-25	803	Norfolk Admirals	3	Adirondack Phantoms	2	L			Sommaire du Match
114 - 2022-12-27	829	Adirondack Phantoms	2	San Antonio Rampage	4	L			Sommaire du Match
115 - 2022-12-28	836	Nunavik Natturaliit	3	Adirondack Phantoms	2	L	X	X	Sommaire du Match
117 - 2022-12-30	857	Adirondack Phantoms	1	Manitoba Moose	8	L			Sommaire du Match
119 - 2023-01-01	869	Albany Devils	4	Adirondack Phantoms	7	W			Sommaire du Match
122 - 2023-01-04	897	Albany Devils	3	Adirondack Phantoms	8	W			Sommaire du Match
126 - 2023-01-08	918	Adirondack Phantoms	3	Binghamton Senators	1	W			Sommaire du Match
127 - 2023-01-09	933	Connecticut Whale	3	Adirondack Phantoms	2	L	X		Sommaire du Match
130 - 2023-01-12	951	Adirondack Phantoms	1	Connecticut Whale	2	L			Sommaire du Match
131 - 2023-01-13	964	Adirondack Phantoms	2	Charlotte Checkers	8	L			Sommaire du Match
133 - 2023-01-15	973	Joliette Sportif	4	Adirondack Phantoms	2	L			Sommaire du Match
137 - 2023-01-19	999	Rouyn-Noranda Huskies	3	Adirondack Phantoms	2	L	X		Sommaire du Match
139 - 2023-01-21	1012	Adirondack Phantoms	3	Connecticut Whale	2	W	X		Sommaire du Match
142 - 2023-01-24	1029	Adirondack Phantoms	1	Charlotte Checkers	2	L			Sommaire du Match
143 - 2023-01-25	1038	Connecticut Whale	5	Adirondack Phantoms	3	L			Sommaire du Match
146 - 2023-01-28	1064	Chisinau Pelicans	-	Adirondack Phantoms	-
149 - 2023-01-31	1085	Adirondack Phantoms	-	Providence Bruins	-
151 - 2023-02-02	1097	Gatineau Olympiques	-	Adirondack Phantoms	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
153 - 2023-02-04	1113	Adirondack Phantoms	-	Bridgeport Sound Tigers	-
155 - 2023-02-06	1132	Grand Rapids Griffins	-	Adirondack Phantoms	-
159 - 2023-02-10	1161	Houston Aeros	-	Adirondack Phantoms	-
160 - 2023-02-11	1170	Adirondack Phantoms	-	Houston Aeros	-
163 - 2023-02-14	1188	Adirondack Phantoms	-	Manitoba Moose	-
164 - 2023-02-15	1198	Chicoutimi Saguenéens	-	Adirondack Phantoms	-
167 - 2023-02-18	1227	Chicoutimi Saguenéens	-	Adirondack Phantoms	-
170 - 2023-02-21	1251	Adirondack Phantoms	-	Norfolk Admirals	-
172 - 2023-02-23	1259	Wilkes-Barre/Scranton Penguins	-	Adirondack Phantoms	-
177 - 2023-02-28	1290	Gatineau Olympiques	-	Adirondack Phantoms	-
178 - 2023-03-01	1295	Adirondack Phantoms	-	Springfield Falcons	-
179 - 2023-03-02	1302	Adirondack Phantoms	-	Blainville-Boisbriand Armada	-
181 - 2023-03-04	1313	Adirondack Phantoms	-	Bridgeport Sound Tigers	-
185 - 2023-03-08	1325	Oklahoma City Barons	-	Adirondack Phantoms	-
186 - 2023-03-09	1332	Adirondack Phantoms	-	Wilkes-Barre/Scranton Penguins	-
189 - 2023-03-12	1351	Adirondack Phantoms	-	Blainville-Boisbriand Armada	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	100	60
Assistance	59,591	31,048
Assistance PCT	93.11%	97.03%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
9	2832 - 94.42%	244,437$	7,821,980$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,575,212$	3,785,000$	3,785,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
19,817$	1,661,858$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
2,199,932$	46	26,099$	1,200,554$

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



	Accueil Général Fichier client de ligue STHS ProMatchs du Jour ÉcoleMatchs du Jour Transactions du Jour Recherche Gestion des Nouvelles Transférer Alignement Envoyez l'information aux directeurs généraux par courriel Équipes Équipe Pro Eastern Conference Boston Bruins Buffalo Sabres Carolina Hurricanes Columbus Blue Jackets Florida Panthers Montreal Canadiens New Jersey Devils New York Islanders New York Rangers Ottawa Senators Philadelphia Flyers Pittsburgh Penguins Quebec Nordiques Tampa Bay Lightning Toronto Maple Leafs Washington Capitals Western Conference Anaheim Ducks Arizona Coyotes Calgary Flames Chicago Blackhawks Colorado Avalanche Dallas Stars Detroit Red Wings Edmonton Oilers Los Angeles Kings Minnesota Wild Nashville Predators San Jose Sharks Seattle Kraken St. Louis Blues Vancouver Canucks Vegas Golden Knights Winnipeg Jets Équipe Mineure Hamel Binghamton Senators Blainville-Boisbriand Armada Chicago Wolves Chicoutimi Saguenéens Chisinau Pelicans Gatineau Olympiques Grand Rapids Griffins Joliette Sportif Lake Erie Monsters Laval Chiefs Milwaukee Admirals Nunavik Natturaliit Roberval Dwarfs Rouyn-Noranda Huskies The Nuuk Vikings Trois-Rivières Lions Verdun Junior Fortunus Adirondack Phantoms Albany Devils Bridgeport Sound Tigers Charlotte Checkers Connecticut Whale Henderson Silver Knights Houston Aeros Manitoba Moose Mercer Island Hafgufa Norfolk Admirals Oklahoma City Barons Providence Bruins Rochester Americans San Antonio Rampage Springfield Falcons Wilkes-Barre/Scranton Penguins Ligue Pro Classement Calendrier Meneurs - Joueurs Meneurs - Gardiens Meneurs Individuels Statistiques des Joueurs Statistiques des Gardiens Statistiques d'Équipes Finance Classement de Puissance Ligue Mineure Classement Calendrier Meneurs - Joueurs Meneurs - Gardiens Meneurs Individuels Statistiques des Joueurs Statistiques des Gardiens Statistiques d'Équipes Finance Classement de Puissance Ligue Projection Repêchage Amateur Entraîneurs Transactions Ballotage Équipes/DG Historique de transaction Éspoirs Flux RSS Non Assignés Joueurs Gardiens Disponible pour Échange Joueurs Gardiens Comparer Joueurs Joueurs Gardiens Agents Libres Joueurs Gardiens Joueurs Retraité Joueurs Gardiens Records Records de ligue Records d'équipe Recherche Ancienne Pages Coaches Farm All Players Stats Farm Individual Leaders Farm Leaders Farm Power Ranking Farm Standing Farm Team Lines Farm Team Schedule Farm Team Scoring Farm Team Stats Farm Team StatsVS Farm Today Games Free Agents Pro All Players Stats Pro Individual Leaders Pro Leaders Pro Power Ranking Pro Standing Pro Team Lines Pro Team PlayersInfo Pro Team Roster Pro Team Schedule Pro Team Scoring Pro Team Stats Pro Team Stats VS Pro Today Games Rerate Difference Schedule Team Finance Team History Team Injury Suspension Team Prospects Teams And GM Info Today Transactions Trade History Transactions Unassigned Waivers Aide Dernier Client STHS Manuel du Client STHS

	Adirondack Phantoms
	GP: 63 \| W: 25 \| L: 32 \| OTL: 6 \| P: 56 GF: 180 \| GA: 229 \| PP%: 17.01% \| PK%: 81.02% DG: Mathieu Veilleux \| Morale : 54 \| Moyenne d'Équipe : N/A Prochain matchs #1064 vs Chisinau Pelicans