ASHL - Milwaukee Admirals

Nashville Predators
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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	Âge	Contrat	Salaire Moyen
1	Nicholas Caamano (R)			X		100.00	84	48	67	78	81	81	83	78	65	77	77	73	70	68	75	70	67	0	0	22	3	900,000$
2	Luke Adam (A)	X	X			100.00	75	40	85	75	87	83	82	77	81	77	77	66	74	89	91	70	67	0	0	30	1	850,000$
3	Mathieu Perreault	X	X			100.00	55	33	88	77	71	76	74	77	75	78	75	62	77	95	96	70	41	0	0	32	1	1,000,000$
4	Nick Palmieri			X		100.00	76	43	88	74	86	77	75	77	73	76	76	70	75	90	92	70	67	0	0	31	1	850,000$
5	Drew Shore (A)	X		X		100.00	65	35	85	79	81	83	84	81	76	79	80	66	77	85	85	70	67	0	0	29	1	1,567,043$
6	Mitch Moroz (R)		X			100.00	95	48	71	76	90	77	76	76	55	75	74	69	70	75	77	70	45	0	0	26	1	1,200,000$
7	Mark Jankowski (R)	X	X			100.00	79	35	81	80	79	79	77	79	74	78	76	71	73	68	69	70	57	0	0	26	1	1,200,000$
8	Marc-Olivier Roy (R)	X	X	X		100.00	68	35	84	81	76	80	77	78	74	77	77	72	71	68	70	70	67	0	0	26	3	1,300,000$
9	Miikka Salomäki	X	X	X		100.00	84	40	75	77	82	85	81	77	75	78	77	73	73	75	68	70	67	0	0	27	3	1,500,000$
10	Cristoval Nieves (R)	X	X			100.00	83	40	81	76	86	80	80	77	73	78	76	74	71	68	68	70	67	0	0	26	1	950,000$
11	Logan Brown (R)	X				100.00	80	38	79	76	86	78	75	78	73	78	75	70	70	63	63	70	54	0	0	22	1	950,000$
12	Tage Thompson (R)		X	X		100.00	83	40	82	75	86	78	79	78	70	78	78	72	73	68	68	70	67	0	0	23	2	900,000$
13	Spencer Stastney (R)				X	100.00	64	30	82	76	73	82	82	74	50	75	57	80	56	60	60	70	67	0	0	20	3	800,000$
14	Patrick Wiercioch				X	100.00	71	43	83	81	83	76	74	78	50	78	61	82	60	87	92	70	67	0	0	30	1	900,000$
15	Nate Schmidt				X	100.00	77	43	81	79	77	79	77	80	50	78	72	81	67	77	79	70	67	0	0	29	1	1,150,000$
16	Joshua Jacobs				X	100.00	87	45	72	77	82	80	78	75	51	77	67	84	67	74	75	70	49	0	0	24	3	2,000,000$
17	Stuart Percy				X	100.00	71	35	83	85	76	77	73	79	50	79	63	78	70	70	74	70	41	0	0	27	2	1,000,000$
18	Dylan Blujus (R)				X	100.00	80	45	76	70	83	76	73	71	50	71	61	81	60	60	60	70	32	0	0	26	1	650,000$
Rayé
1	Brett Pollock	X	X			91.41	86	43	75	83	81	77	81	82	75	79	79	71	72	69	70	70	29	0	0	24	1	1,200,000$
2	Kyle Platzer (R)	X		X		100.00	62	35	81	78	71	75	74	72	71	72	72	65	68	64	64	70	27	0	0	25	1	750,000$
3	Bode Wilde (R)				X	96.77	81	45	74	75	83	80	74	77	50	75	60	78	60	63	60	70	59	0	0	20	3	850,000$
4	T.J. Brodie (C)				X	83.98	70	40	86	79	76	76	75	75	51	78	60	83	60	88	92	70	59	0	0	30	2	1,200,000$

	MOYENNE D'ÉQUIPE					98.64	76	40	80	78	81	79	77	77	64	77	71	74	69	74	75	70	56	0

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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	Christopher Gibson	100.00	86	82	84	84	92	89	87	86	88	86	85	78	84	70	67	0	0
2	Chet Pickard	100.00	83	84	86	88	90	88	89	87	89	89	91	90	96	70	62	0	0
Rayé
1	Jonas Johansson (R)	100.00	83	83	84	92	85	87	87	86	84	84	83	65	65	70	32	0	0

	MOYENNE D'ÉQUIPE	100.00	84	83	85	88	89	88	88	86	87	86	86	78	82	70	54	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
D.J. Smith	85	88	85	85	80	80	70	CAN	42	1	1,000,000$

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Miikka Salomäki	Milwaukee Admirals (NSH)	C/LW/RW	25	12	10	22	14	12	27	42	70	16	39	17.14%	7	454	18.19	1	1	2	3	13	1	47	4	0	52.66%	545	0	0	0.97	0	0	3	4	1
2	Nicholas Caamano	Milwaukee Admirals (NSH)	RW	25	10	9	19	13	14	37	35	76	18	48	13.16%	3	491	19.64	0	0	0	0	2	4	98	0	0	44.00%	50	0	1	0.77	0	0	2	1	1
3	Spencer Stastney	Milwaukee Admirals (NSH)	D	25	3	16	19	11	22	28	26	26	5	17	11.54%	31	524	20.97	3	4	7	15	61	0	70	1	0	0.00%	0	0	0	0.72	0	0	0	3	0
4	Patrick Wiercioch	Milwaukee Admirals (NSH)	D	25	2	14	16	-3	12	22	28	37	8	15	5.41%	31	489	19.60	1	3	4	15	49	1	56	0	0	0.00%	0	0	0	0.65	0	0	0	0	1
5	Nate Schmidt	Milwaukee Admirals (NSH)	D	25	3	13	16	-1	10	35	21	40	17	35	7.50%	35	536	21.44	2	5	7	25	66	0	75	1	0	0.00%	0	0	0	0.60	0	0	0	2	1
6	Tage Thompson	Milwaukee Admirals (NSH)	LW/RW	25	7	9	16	-3	6	39	33	69	19	37	10.14%	5	463	18.54	3	3	6	13	62	0	17	1	1	43.33%	30	0	0	0.69	0	0	0	2	1
7	T.J. Brodie	Milwaukee Admirals (NSH)	D	24	0	14	14	15	16	36	29	19	5	11	0.00%	40	467	19.49	0	0	0	2	4	0	73	0	0	0.00%	0	0	0	0.60	0	0	1	0	0
8	Bode Wilde	Milwaukee Admirals (NSH)	D	21	3	9	12	5	16	24	23	21	9	16	14.29%	15	388	18.52	2	4	6	11	48	0	10	1	0	0.00%	0	0	0	0.62	0	0	1	0	0
9	Mathieu Perreault	Milwaukee Admirals (NSH)	C/LW	19	2	7	9	5	0	0	7	28	10	18	7.14%	0	252	13.28	0	3	3	4	38	0	4	2	0	30.00%	20	0	0	0.71	0	2	0	1	0
10	Joshua Jacobs	Milwaukee Admirals (NSH)	D	21	2	7	9	1	34	48	21	25	8	14	8.00%	35	439	20.91	1	0	1	8	18	0	57	1	0	0.00%	0	0	0	0.41	0	0	0	0	1
11	Marc-Olivier Roy	Milwaukee Admirals (NSH)	C/LW/RW	25	4	5	9	-5	4	12	26	53	19	55	7.55%	7	408	16.33	1	4	5	7	65	1	13	1	0	46.22%	119	0	0	0.44	0	0	0	0	0
12	Cristoval Nieves	Milwaukee Admirals (NSH)	C/LW	25	5	4	9	7	12	24	46	34	12	27	14.71%	7	320	12.82	0	0	0	0	0	3	105	0	0	49.07%	430	0	0	0.56	0	0	1	0	0
13	Drew Shore	Milwaukee Admirals (NSH)	C/RW	25	5	3	8	5	6	18	19	51	15	40	9.80%	2	338	13.55	3	1	4	16	67	0	0	1	0	70.00%	20	0	0	0.47	1	2	0	0	2
14	Logan Brown	Milwaukee Admirals (NSH)	C	19	4	4	8	-4	8	20	23	33	8	16	12.12%	1	323	17.05	1	3	4	8	43	0	0	0	0	50.12%	405	0	0	0.49	0	0	0	0	0
15	Brett Pollock	Milwaukee Admirals (NSH)	C/LW	11	4	3	7	2	8	18	17	24	9	20	16.67%	0	196	17.87	1	1	2	4	26	0	12	0	1	68.00%	50	0	0	0.71	0	0	0	0	2
16	Nick Palmieri	Milwaukee Admirals (NSH)	RW	25	4	2	6	4	4	9	9	26	8	11	15.38%	2	185	7.40	0	0	0	3	18	0	0	0	0	50.00%	6	1	0	0.65	0	0	0	1	1
17	Mark Jankowski	Milwaukee Admirals (NSH)	C/LW	23	2	3	5	0	16	32	32	52	17	36	3.85%	3	344	14.99	0	2	2	7	33	3	27	0	0	49.54%	216	0	0	0.29	0	0	0	0	1
18	Luke Adam	Milwaukee Admirals (NSH)	C/LW	25	2	2	4	-1	4	14	24	20	7	13	10.00%	2	241	9.64	0	0	0	0	4	0	15	1	0	58.37%	245	0	0	0.33	0	0	0	1	1
19	Stuart Percy	Milwaukee Admirals (NSH)	D	13	1	2	3	0	4	4	9	7	3	9	14.29%	10	152	11.70	1	0	1	6	13	0	5	0	1	0.00%	0	0	0	0.39	0	0	1	0	0
20	Mitch Moroz	Milwaukee Admirals (NSH)	LW	14	1	0	1	2	10	9	4	10	4	7	10.00%	2	97	6.97	0	0	0	0	0	0	0	0	1	25.00%	4	0	0	0.21	0	0	0	0	0
21	Dylan Blujus	Milwaukee Admirals (NSH)	D	8	0	1	1	0	0	1	1	3	0	0	0.00%	0	17	2.17	0	0	0	2	0	0	0	0	0	0.00%	0	0	0	1.15	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				448	76	137	213	67	218	457	475	724	217	484	10.50%	238	7133	15.92	20	34	54	149	638	13	693	14	4	51.36%	2140	1	1	0.60	1	4	9	15	13

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1
1	Chet Pickard	Milwaukee Admirals (NSH)	18	12	5	0	0.916	2.51	1054	2	1	44	525	1	0	1.000	3	18	2	6
2	Christopher Gibson	Milwaukee Admirals (NSH)	8	4	1	3	0.916	2.60	462	2	1	20	237	0	1	0.333	3	7	18	1
Stats d'équipe Total ou en Moyenne			26	16	6	3	0.916	2.53	1516	4	2	64	762	1	1	0.667	6	25	20	7

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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	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
Bode Wilde	Milwaukee Admirals (NSH)	D	20	1999-01-02 03:20:27	Yes	192 Lbs	6 ft3	No	No	No	3	Pro & Farm	850,000$	592,287$	850,000$	592,287$	0$	0$	No	850,000$	850,000$
Brett Pollock (Sur la Masse Salariale)	Milwaukee Admirals (NSH)	C/LW	24	1995-01-22 02:00:42	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,200,000$	836,170$	1,200,000$	836,170$	0$	0$	Yes
Chet Pickard	Milwaukee Admirals (NSH)	G	31	1988-01-22 12:29:38	No	206 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,500,000$	1,045,212$	1,500,000$	1,045,212$	0$	0$	No	1,500,000$
Christopher Gibson	Milwaukee Admirals (NSH)	G	28	1991-01-22 12:30:26	No	198 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,500,000$	1,045,212$	1,500,000$	1,045,212$	0$	0$	No	1,500,000$	1,500,000$
Cristoval Nieves	Milwaukee Admirals (NSH)	C/LW	26	1993-01-22 04:19:11	Yes	212 Lbs	6 ft3	No	No	No	1	Pro & Farm	950,000$	661,968$	950,000$	661,968$	0$	0$	No
Drew Shore	Milwaukee Admirals (NSH)	C/RW	29	1990-01-22 15:55:26	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,567,043$	1,091,928$	1,567,043$	1,091,928$	0$	0$	No
Dylan Blujus	Milwaukee Admirals (NSH)	D	26	1993-01-22 05:19:59	Yes	203 Lbs	6 ft3	No	No	No	1	Pro & Farm	650,000$	452,925$	650,000$	452,925$	0$	0$	No
Jonas Johansson	Milwaukee Admirals (NSH)	G	25	1994-01-02 03:15:19	Yes	214 Lbs	6 ft5	No	No	No	1	Pro & Farm	850,000$	592,287$	850,000$	592,287$	0$	0$	No
Joshua Jacobs	Milwaukee Admirals (NSH)	D	24	1995-01-22 07:27:05	No	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,000,000$	1,393,617$	2,000,000$	1,393,617$	0$	0$	No	2,000,000$	2,000,000$
Kyle Platzer	Milwaukee Admirals (NSH)	C/RW	25	1994-01-22 05:12:19	Yes	181 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	522,606$	750,000$	522,606$	0$	0$	No
Logan Brown	Milwaukee Admirals (NSH)	C	22	1997-01-22 09:26:05	Yes	220 Lbs	6 ft6	No	No	No	1	Pro & Farm	950,000$	661,968$	950,000$	661,968$	0$	0$	No
Luke Adam	Milwaukee Admirals (NSH)	C/LW	30	1989-01-22 12:29:38	No	203 Lbs	6 ft2	No	No	No	1	Pro & Farm	850,000$	592,287$	850,000$	592,287$	0$	0$	No
Marc-Olivier Roy	Milwaukee Admirals (NSH)	C/LW/RW	26	1993-01-22 17:02:20	Yes	183 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,300,000$	905,851$	1,300,000$	905,851$	0$	0$	No	1,300,000$	1,300,000$
Mark Jankowski	Milwaukee Admirals (NSH)	C/LW	26	1993-01-22 16:05:15	Yes	185 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,200,000$	836,170$	1,200,000$	836,170$	0$	0$	No
Mathieu Perreault	Milwaukee Admirals (NSH)	C/LW	32	1987-01-22 00:29:38	No	174 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,000,000$	696,808$	1,000,000$	696,808$	0$	0$	No
Miikka Salomäki	Milwaukee Admirals (NSH)	C/LW/RW	27	1992-01-22 02:08:57	No	198 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,500,000$	1,045,212$	1,500,000$	1,045,212$	0$	0$	No	1,500,000$	1,500,000$
Mitch Moroz	Milwaukee Admirals (NSH)	LW	26	1993-01-22 04:57:59	Yes	208 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,200,000$	836,170$	1,200,000$	836,170$	0$	0$	No
Nate Schmidt	Milwaukee Admirals (NSH)	D	29	1990-01-22 14:51:34	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,150,000$	801,329$	1,150,000$	801,329$	0$	0$	No
Nicholas Caamano	Milwaukee Admirals (NSH)	RW	22	1997-01-02 02:57:09	Yes	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	900,000$	627,127$	900,000$	627,127$	0$	0$	No	900,000$	900,000$
Nick Palmieri	Milwaukee Admirals (NSH)	RW	31	1988-01-22 06:29:38	No	220 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	592,287$	850,000$	592,287$	0$	0$	No
Patrick Wiercioch	Milwaukee Admirals (NSH)	D	30	1989-01-22 12:29:38	No	192 Lbs	6 ft4	No	No	No	1	Pro & Farm	900,000$	627,127$	900,000$	627,127$	0$	0$	No
Spencer Stastney	Milwaukee Admirals (NSH)	D	20	1999-01-02 03:25:28	Yes	179 Lbs	5 ft10	No	No	No	3	Pro & Farm	800,000$	557,446$	800,000$	557,446$	0$	0$	No	800,000$	800,000$
Stuart Percy	Milwaukee Admirals (NSH)	D	27	1992-01-22 02:33:32	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,000,000$	696,808$	1,000,000$	696,808$	0$	0$	No	1,000,000$
T.J. Brodie (Sur la Masse Salariale)	Milwaukee Admirals (NSH)	D	30	1989-01-22 12:29:38	No	182 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,200,000$	836,170$	1,200,000$	836,170$	0$	0$	Yes	1,200,000$
Tage Thompson	Milwaukee Admirals (NSH)	LW/RW	23	1996-01-22 15:06:33	Yes	205 Lbs	6 ft6	No	No	No	2	Pro & Farm	900,000$	627,127$	900,000$	627,127$	0$	0$	No	900,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
25	26.36	196 Lbs	6 ft2	1.72	1,100,682$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tage Thompson	Miikka Salomäki	Nicholas Caamano	35	0	2	3
2	Mark Jankowski	Logan Brown	Marc-Olivier Roy	32	0	2	3
3	Mathieu Perreault	Cristoval Nieves	Drew Shore	23	0	2	3
4	Mitch Moroz	Luke Adam	Nick Palmieri	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joshua Jacobs	Stuart Percy	35	1	3	1
2	Dylan Blujus	Spencer Stastney	33	1	3	1
3	Patrick Wiercioch	Nate Schmidt	32	1	3	1
4	Nate Schmidt	Joshua Jacobs	0	1	3	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tage Thompson	Logan Brown	Drew Shore	60	0	0	5
2	Mark Jankowski	Marc-Olivier Roy	Nick Palmieri	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nate Schmidt	Joshua Jacobs	60	0	0	5
2	Stuart Percy	Spencer Stastney	40	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Cristoval Nieves	Nicholas Caamano	60	0	5	0
2	Miikka Salomäki	Tage Thompson	40	0	5	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Patrick Wiercioch	Joshua Jacobs	60	0	5	0
2	Nate Schmidt	Spencer Stastney	40	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Cristoval Nieves	60	0	5	0	Patrick Wiercioch	Joshua Jacobs	60	0	5	0
2	Miikka Salomäki	40	0	5	0	Nate Schmidt	Spencer Stastney	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Logan Brown	Tage Thompson	60	0	2	3
2	Miikka Salomäki	Nicholas Caamano	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joshua Jacobs	Stuart Percy	60	1	2	2
2	Nate Schmidt	Spencer Stastney	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tage Thompson	Logan Brown	Nicholas Caamano	Nate Schmidt	Joshua Jacobs

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tage Thompson	Miikka Salomäki	Nicholas Caamano	Joshua Jacobs	Patrick Wiercioch

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Logan Brown, Miikka Salomäki, Tage Thompson	Mathieu Perreault, Miikka Salomäki	Marc-Olivier Roy

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nate Schmidt, Joshua Jacobs, Patrick Wiercioch	Joshua Jacobs	Joshua Jacobs, Stuart Percy

Tirs de Pénalité
Drew Shore, Mathieu Perreault, Nick Palmieri, Luke Adam, Miikka Salomäki

Gardien
#1 : Chet Pickard, #2 : Christopher Gibson

Lignes d'Attaque Perso. en Prol.
Logan Brown, Tage Thompson, Miikka Salomäki, Nicholas Caamano, Cristoval Nieves, Drew Shore, Drew Shore, Mark Jankowski, Marc-Olivier Roy, Luke Adam, Nick Palmieri

Lignes de Défense Perso. en Prol.
Nate Schmidt, Stuart Percy, Spencer Stastney, Patrick Wiercioch, Joshua Jacobs

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	Chicago Wolves	2	1	0	0	0	1	0	0	7	7	0	2	1	0	0	0	1	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	3	0.750	7	14	21	0	0	34	24	17	3	60	258	229	255	18	69	19	24	43	12	3	25.00%	11	3	72.73%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
2	Gatineau Olympiques	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	34	24	17	3	26	258	229	255	18	54	13	16	13	2	0	0.00%	7	2	71.43%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
3	Grand Rapids Griffins	4	1	1	0	0	1	0	1	13	15	-2	1	0	0	0	0	0	0	1	3	4	-1	3	1	1	0	0	1	0	0	10	11	-1	4	0.500	13	23	36	0	0	34	24	17	3	123	258	229	255	18	121	39	36	71	13	3	23.08%	18	4	77.78%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
4	Henderson Silver Knights	3	3	0	0	0	0	0	0	11	7	4	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	2	1	6	1.000	11	20	31	0	0	34	24	17	3	83	258	229	255	18	82	34	18	60	8	1	12.50%	8	2	75.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
5	Joliette Sportif	2	1	0	0	1	0	0	0	7	4	3	2	1	0	0	1	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	7	12	19	0	0	34	24	17	3	64	258	229	255	18	59	17	24	41	10	3	30.00%	10	2	80.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
6	Lake Erie Monsters	2	1	0	0	0	0	1	0	6	4	2	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	6	10	16	0	0	34	24	17	3	55	258	229	255	18	61	12	20	31	6	1	16.67%	10	1	90.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
7	Las Vegas Gamblers	2	0	1	0	1	0	0	0	7	8	-1	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	1	0	0	0	7	8	-1	2	0.500	7	14	21	1	0	34	24	17	3	50	258	229	255	18	56	15	22	38	5	2	40.00%	10	4	60.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
8	Peoria Rivermen	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	6	9	0	0	34	24	17	3	32	258	229	255	18	23	8	10	14	2	1	50.00%	4	0	100.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
9	Providence Bruins	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	34	24	17	3	38	258	229	255	18	31	10	6	17	3	0	0.00%	3	0	100.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
10	Rochester Americans	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	0	0	34	24	17	3	28	258	229	255	18	34	11	10	16	1	1	100.00%	5	2	60.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
11	Rockford IceHogs	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	34	24	17	3	32	258	229	255	18	24	12	6	19	1	0	0.00%	3	1	66.67%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
12	Rouyn-Noranda Huskies	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	1	34	24	17	3	32	258	229	255	18	22	10	2	26	5	1	20.00%	1	0	100.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
13	Springfield Falcons	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	0	2	2	1.000	2	4	6	0	1	34	24	17	3	33	258	229	255	18	33	10	10	20	4	0	0.00%	5	0	100.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
	Total	25	13	6	0	2	2	1	1	78	66	12	13	8	1	0	1	1	1	1	45	31	14	12	5	5	0	1	1	0	0	33	35	-2	35	0.700	78	142	220	1	2	34	24	17	3	756	258	229	255	18	763	239	222	466	80	20	25.00%	101	22	78.22%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
14	Trois-Rivières Draveurs	2	1	1	0	0	0	0	0	8	6	2	2	1	1	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	2	0.500	8	13	21	0	0	34	24	17	3	63	258	229	255	18	59	19	10	34	5	2	40.00%	3	1	66.67%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
15	Wilkes-Barre/Scranton Penguins	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	34	24	17	3	37	258	229	255	18	35	10	8	23	3	2	66.67%	3	0	100.00%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
	_Since Last GM Reset	25	13	6	0	2	2	1	1	78	66	12	13	8	1	0	1	1	1	1	45	31	14	12	5	5	0	1	1	0	0	33	35	-2	35	0.700	78	142	220	1	2	34	24	17	3	756	258	229	255	18	763	239	222	466	80	20	25.00%	101	22	78.22%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
	_Vs Conference	20	10	4	0	2	2	1	1	61	53	8	9	5	0	0	1	1	1	1	31	23	8	11	5	4	0	1	1	0	0	30	30	0	29	0.725	61	113	174	1	2	34	24	17	3	590	258	229	255	18	604	189	188	376	68	15	22.06%	87	19	78.16%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161
	_Vs Division	10	3	2	0	0	1	0	1	29	31	-2	2	0	0	0	0	0	0	1	7	7	0	8	3	2	0	0	1	0	0	22	24	-2	8	0.400	29	53	82	1	0	34	24	17	3	292	258	229	255	18	285	86	94	173	27	7	25.93%	45	10	77.78%	0	463	875	52.91%	457	898	50.89%	205	380	53.95%	604	416	593	187	321	161

			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
25	35	SOL1	78	142	220	756	763	239	222	466	1	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	13	6	2	2	1	1	78	66

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	8	1	1	1	1	1	45	31

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	5	5	1	1	0	0	33	35

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	3	0	0	0	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
80	20	25.00%	101	22	78.22%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
258	229	255	18	34	24	17	3

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
463	875	52.91%	457	898	50.89%	205	380	53.95%

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
604	416	593	187	321	161

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
2 - 2020-10-29	12	Trois-Rivières Draveurs	4	Milwaukee Admirals	3	L			Sommaire du Match
5 - 2020-11-01	35	Chicago Wolves	1	Milwaukee Admirals	2	W			Sommaire du Match
7 - 2020-11-03	54	Milwaukee Admirals	2	Lake Erie Monsters	1	W			Sommaire du Match
9 - 2020-11-05	67	Trois-Rivières Draveurs	2	Milwaukee Admirals	5	W			Sommaire du Match
10 - 2020-11-06	77	Milwaukee Admirals	2	Las Vegas Gamblers	1	W	X		Sommaire du Match
13 - 2020-11-09	99	Milwaukee Admirals	3	Peoria Rivermen	1	W			Sommaire du Match
15 - 2020-11-11	114	Milwaukee Admirals	0	Rockford IceHogs	3	L			Sommaire du Match
16 - 2020-11-12	125	Rouyn-Noranda Huskies	0	Milwaukee Admirals	2	W			Sommaire du Match
19 - 2020-11-15	142	Milwaukee Admirals	5	Las Vegas Gamblers	7	L			Sommaire du Match
20 - 2020-11-16	149	Milwaukee Admirals	5	Grand Rapids Griffins	2	W			Sommaire du Match
22 - 2020-11-18	163	Wilkes-Barre/Scranton Penguins	1	Milwaukee Admirals	4	W			Sommaire du Match
25 - 2020-11-21	185	Joliette Sportif	2	Milwaukee Admirals	4	W			Sommaire du Match
29 - 2020-11-25	213	Milwaukee Admirals	2	Grand Rapids Griffins	3	L	X		Sommaire du Match
31 - 2020-11-27	222	Chicago Wolves	6	Milwaukee Admirals	5	L	X		Sommaire du Match
33 - 2020-11-29	239	Milwaukee Admirals	2	Springfield Falcons	0	W			Sommaire du Match
34 - 2020-11-30	251	Milwaukee Admirals	3	Rochester Americans	5	L			Sommaire du Match
36 - 2020-12-02	262	Henderson Silver Knights	2	Milwaukee Admirals	3	W			Sommaire du Match
38 - 2020-12-04	283	Providence Bruins	1	Milwaukee Admirals	2	W			Sommaire du Match
41 - 2020-12-07	300	Milwaukee Admirals	3	Henderson Silver Knights	2	W			Sommaire du Match
43 - 2020-12-09	318	Henderson Silver Knights	3	Milwaukee Admirals	5	W			Sommaire du Match
46 - 2020-12-12	339	Lake Erie Monsters	3	Milwaukee Admirals	4	W	X	X	Sommaire du Match
48 - 2020-12-14	352	Milwaukee Admirals	3	Grand Rapids Griffins	6	L			Sommaire du Match
50 - 2020-12-16	365	Milwaukee Admirals	3	Gatineau Olympiques	4	L			Sommaire du Match
53 - 2020-12-19	383	Joliette Sportif	2	Milwaukee Admirals	3	W	X		Sommaire du Match
56 - 2020-12-22	407	Grand Rapids Griffins	4	Milwaukee Admirals	3	L	X	X	Sommaire du Match
59 - 2020-12-25	432	Milwaukee Admirals	-	Springfield Falcons	-
61 - 2020-12-27	443	Las Vegas Gamblers	-	Milwaukee Admirals	-
65 - 2020-12-31	472	Chicago Wolves	-	Milwaukee Admirals	-
67 - 2021-01-02	483	Milwaukee Admirals	-	Bridgeport Sound Tigers	-
69 - 2021-01-04	498	Milwaukee Admirals	-	Peoria Rivermen	-
70 - 2021-01-05	510	Providence Bruins	-	Milwaukee Admirals	-
73 - 2021-01-08	533	The Nuuk Vikings	-	Milwaukee Admirals	-
76 - 2021-01-11	553	Milwaukee Admirals	-	Connecticut Whale	-
78 - 2021-01-13	570	Wilkes-Barre/Scranton Penguins	-	Milwaukee Admirals	-
80 - 2021-01-15	586	Milwaukee Admirals	-	Lake Erie Monsters	-
82 - 2021-01-17	599	Milwaukee Admirals	-	Rouyn-Noranda Huskies	-
84 - 2021-01-19	608	Rouyn-Noranda Huskies	-	Milwaukee Admirals	-
88 - 2021-01-23	634	Houston Aeros	-	Milwaukee Admirals	-
91 - 2021-01-26	666	Milwaukee Admirals	-	Las Vegas Gamblers	-
92 - 2021-01-27	670	Adirondack Phantoms	-	Milwaukee Admirals	-
95 - 2021-01-30	693	Milwaukee Admirals	-	Manitoba Moose	-
96 - 2021-01-31	703	Oklahoma City Barons	-	Milwaukee Admirals	-
99 - 2021-02-03	721	Milwaukee Admirals	-	Binghamton Senators	-
100 - 2021-02-04	734	The Nuuk Vikings	-	Milwaukee Admirals	-
102 - 2021-02-06	753	Milwaukee Admirals	-	Rockford IceHogs	-
104 - 2021-02-08	768	Milwaukee Admirals	-	Rouyn-Noranda Huskies	-
106 - 2021-02-10	776	Charlotte Checkers	-	Milwaukee Admirals	-
109 - 2021-02-13	800	Milwaukee Admirals	-	CCCP Red Army	-
110 - 2021-02-14	807	Wilkes-Barre/Scranton Penguins	-	Milwaukee Admirals	-
113 - 2021-02-17	829	Milwaukee Admirals	-	Mercer Island Hafgufa	-
114 - 2021-02-18	838	Grand Rapids Griffins	-	Milwaukee Admirals	-
118 - 2021-02-22	863	Milwaukee Admirals	-	Mercer Island Hafgufa	-
119 - 2021-02-23	870	Milwaukee Admirals	-	San Antonio Rampage	-
120 - 2021-02-24	877	Oklahoma City Barons	-	Milwaukee Admirals	-
123 - 2021-02-27	899	Milwaukee Admirals	-	Joliette Sportif	-
124 - 2021-02-28	909	Albany Devils	-	Milwaukee Admirals	-
128 - 2021-03-04	936	Laval Chiefs	-	Milwaukee Admirals	-
130 - 2021-03-06	956	Milwaukee Admirals	-	Norfolk Admirals	-
132 - 2021-03-08	968	Milwaukee Admirals	-	Chicago Wolves	-
133 - 2021-03-09	977	Springfield Falcons	-	Milwaukee Admirals	-
136 - 2021-03-12	998	Milwaukee Admirals	-	Rochester Americans	-
138 - 2021-03-14	1010	Trois-Rivières Draveurs	-	Milwaukee Admirals	-
140 - 2021-03-16	1024	Milwaukee Admirals	-	Oklahoma City Barons	-
142 - 2021-03-18	1040	Trois-Rivières Draveurs	-	Milwaukee Admirals	-
144 - 2021-03-20	1049	Milwaukee Admirals	-	Laval Chiefs	-
146 - 2021-03-22	1071	Gatineau Olympiques	-	Milwaukee Admirals	-
147 - 2021-03-23	1076	Milwaukee Admirals	-	The Nuuk Vikings	-
151 - 2021-03-27	1105	Mercer Island Hafgufa	-	Milwaukee Admirals	-
154 - 2021-03-30	1120	Milwaukee Admirals	-	Laval Chiefs	-
155 - 2021-03-31	1136	Milwaukee Admirals	-	Roberval Dwarfs	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
157 - 2021-04-02	1144	Rockford IceHogs	-	Milwaukee Admirals	-
162 - 2021-04-07	1174	Springfield Falcons	-	Milwaukee Admirals	-
164 - 2021-04-09	1191	Milwaukee Admirals	-	Chicoutimi Saguenéens	-
167 - 2021-04-12	1209	Gatineau Olympiques	-	Milwaukee Admirals	-
169 - 2021-04-14	1226	Milwaukee Admirals	-	Houston Aeros	-
172 - 2021-04-17	1242	Peoria Rivermen	-	Milwaukee Admirals	-
175 - 2021-04-20	1259	Milwaukee Admirals	-	Chicoutimi Saguenéens	-
178 - 2021-04-23	1275	Rockford IceHogs	-	Milwaukee Admirals	-
184 - 2021-04-29	1301	Milwaukee Admirals	-	Houston Aeros	-
186 - 2021-05-01	1313	Peoria Rivermen	-	Milwaukee Admirals	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	40	20
Assistance	26,000	13,000
Assistance PCT	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
27	3000 - 100.00%	100,000$	1,300,000$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,106,552$	2,511,704$	2,511,704$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
13,360$	801,340$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
2,700,000$	131	18,679$	2,446,949$

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