OTHL - IceHogs

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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	Adam Erne		X	X		100.00	89	66	82	72	78	57	82	62	41	65	60	70	75	56	56	66	50	65	0
2	Joseph Blandisi	X	X			100.00	64	66	58	73	66	71	73	66	80	63	62	63	59	56	56	64	50	63	0
3	Austin Czarnik	X	X	X		100.00	59	40	94	80	58	59	81	68	44	67	60	62	25	62	62	65	50	63	0
4	Logan Brown (R)	X				100.00	85	85	86	62	85	62	62	64	80	65	60	70	57	44	44	65	50	63	0
5	Kiefer Sherwood (R)		X	X		100.00	81	44	94	72	66	59	79	59	38	61	62	65	25	48	48	66	50	62	0
6	Peter Cehlarik		X	X		100.00	61	42	90	67	75	63	73	69	26	60	72	52	25	46	46	67	50	61	0
7	Valentin Zykov		X	X		100.00	73	44	97	71	80	55	71	69	32	60	58	52	25	46	46	62	50	60	0
8	Max Veronneau (R)			X		100.00	55	40	99	64	67	63	49	63	25	63	70	56	25	45	45	65	50	59	0
9	Griffen Molino	X	X			100.00	72	63	92	64	63	57	60	47	59	42	45	61	43	51	51	52	50	53	0
10	Cameron Schilling				X	100.00	74	69	85	66	69	78	85	54	25	49	41	64	39	55	55	56	50	62	0
11	Matt Tennyson				X	100.00	75	76	74	70	76	69	74	54	25	49	42	65	40	57	57	56	50	62	0
12	Matt Bartkowski				X	100.00	74	72	79	69	72	59	62	50	25	39	41	66	39	64	65	54	50	60	0
13	Justin Holl				X	100.00	71	42	93	63	66	60	57	57	25	49	47	54	25	46	46	56	50	56	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	72	58	86	69	71	62	70	60	40	56	55	62	39	52	52	61	50	61

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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	Al Montoya	100.00	46	47	59	78	44	45	50	52	46	47	30	61	61	48	50	52	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	46	47	59	78	44	45	50	52	46	47	30	61	61	48	50	52

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Van Ryn	50	68	59	66	45	46	56	CAN	39	2	1,340,000$

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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

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#	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	EG	P/20	FW	FL	FT	S1	S2	S3
1	Joseph Blandisi	IceHogs (CHI)	C/LW	22	17	19	36	16	6	0	29	35	68	21	56	25.00%	4	491	22.34	2	4	6	15	83	1	0	1	2	61	4	2	69.92%	266	0	1.46	0	0	0	5	4	3
2	Kiefer Sherwood	IceHogs (CHI)	LW/RW	22	11	12	23	7	6	0	21	25	74	19	48	14.86%	11	417	18.97	4	1	5	18	78	0	0	0	0	5	0	0	58.82%	17	0	1.10	0	0	0	1	1	1
3	Austin Czarnik	IceHogs (CHI)	C/LW/RW	22	10	11	21	6	4	0	3	35	47	16	35	21.28%	4	448	20.39	1	1	2	14	80	0	0	0	0	44	3	1	40.00%	50	1	0.94	0	0	0	1	5	1
4	Peter Cehlarik	IceHogs (CHI)	LW/RW	22	14	7	21	0	4	0	6	19	62	11	51	22.58%	8	401	18.26	1	0	1	5	48	0	0	0	0	17	2	0	36.00%	25	0	1.05	0	0	0	1	1	3
5	Logan Brown	IceHogs (CHI)	C	22	7	14	21	5	31	5	28	48	53	19	46	13.21%	8	452	20.57	1	3	4	5	81	0	0	0	2	37	3	0	69.34%	411	0	0.93	0	1	0	1	2	1
6	Max Veronneau	IceHogs (CHI)	RW	22	6	14	20	1	2	0	3	33	55	15	40	10.91%	7	363	16.53	0	2	2	0	14	0	0	0	0	5	1	0	39.67%	121	0	1.10	0	0	0	1	0	2
7	Valentin Zykov	IceHogs (CHI)	LW/RW	22	7	12	19	5	8	0	27	17	50	19	49	14.00%	5	375	17.08	0	1	1	2	24	0	0	0	0	20	0	1	59.26%	27	0	1.01	0	0	0	1	1	0
8	Adam Erne	IceHogs (CHI)	LW/RW	22	2	12	14	5	18	0	58	19	50	10	35	4.00%	4	483	21.97	0	2	2	4	74	0	0	0	1	61	1	0	55.21%	96	0	0.58	0	0	0	0	1	1
9	Cameron Schilling	IceHogs (CHI)	D	22	0	9	9	6	18	0	24	13	22	5	9	0.00%	14	474	21.56	0	1	1	16	87	0	0	0	1	70	0	0	100.00%	2	0	0.38	0	0	0	0	0	0
10	Matt Bartkowski	IceHogs (CHI)	D	22	2	6	8	0	39	5	31	16	12	2	6	16.67%	19	427	19.44	2	1	3	7	76	0	1	1	1	59	2	0	33.33%	3	0	0.37	0	0	1	2	0	0
11	Zach Werenski	Blackhawks	D	11	1	6	7	-1	8	0	5	17	14	7	11	7.14%	14	275	25.02	0	0	0	5	51	0	0	0	1	44	0	0	0.00%	0	0	0.51	0	0	0	0	0	0
12	Justin Holl	IceHogs (CHI)	D	22	0	7	7	4	14	0	23	7	7	2	5	0.00%	15	408	18.55	0	1	1	3	43	0	0	0	0	57	0	0	0.00%	0	0	0.34	0	0	0	0	0	0
13	Griffen Molino	IceHogs (CHI)	C/LW	11	1	5	6	3	2	0	13	23	23	3	22	4.35%	4	200	18.23	0	0	0	3	8	0	0	0	0	23	0	0	65.00%	160	0	0.60	0	0	0	0	0	0
14	Sebastian Aho	Blackhawks	C/LW	11	3	3	6	-4	0	0	4	34	31	4	24	9.68%	4	274	24.94	2	0	2	8	48	0	0	0	1	47	0	1	62.83%	304	0	0.44	0	0	0	0	0	0
15	Matt Tennyson	IceHogs (CHI)	D	22	2	4	6	9	33	5	50	18	22	6	13	9.09%	12	487	22.17	0	1	1	10	85	0	0	0	0	60	0	0	0.00%	0	0	0.25	1	0	0	0	1	0
Stats d'équipe Total ou en Moyenne				297	83	141	224	62	193	15	325	359	590	159	450	14.07%	133	5982	20.14	13	18	31	115	887	1	1	2	9	618	16	5	62.42%	1482	1	0.75	1	1	1	13	16	12

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Al Montoya	IceHogs (CHI)	22	16	5	1	0.858	2.92	1232	0	1	60	424	0	3	0	0.000	0	22	0	1	1	0
Stats d'équipe Total ou en Moyenne			22	16	5	1	0.858	2.92	1232	0	1	60	424	0	3	0	0.000	0	22	0	1	1	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 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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Adam Erne	IceHogs (CHI)	LW/RW	25	1995-04-20	No	214 Lbs	6 ft1	No	No	No	1	Pro & Farm	874,167$	0$	0$	No			Lien
Al Montoya	IceHogs (CHI)	G	35	1985-02-12	No	201 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien
Austin Czarnik	IceHogs (CHI)	C/LW/RW	27	1992-12-12	No	160 Lbs	5 ft9	No	No	No	1	Pro & Farm	975,000$	0$	0$	No			Lien
Cameron Schilling	IceHogs (CHI)	D	31	1988-10-07	No	182 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien
Griffen Molino	IceHogs (CHI)	C/LW	26	1994-01-21	No	171 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No			Lien
Joseph Blandisi	IceHogs (CHI)	C/LW	25	1994-07-18	No	182 Lbs	5 ft11	No	No	No	3	Pro & Farm	650,000$	0$	0$	No	650,000$	650,000$	Lien
Justin Holl	IceHogs (CHI)	D	28	1992-01-30	No	170 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Kiefer Sherwood	IceHogs (CHI)	LW/RW	25	1995-03-31	Yes	180 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Logan Brown	IceHogs (CHI)	C	22	1998-03-04	Yes	220 Lbs	6 ft6	No	No	No	3	Pro & Farm	1,573,333$	0$	0$	No	1,573,333$	1,573,333$	Lien
Matt Bartkowski	IceHogs (CHI)	D	32	1988-06-04	No	196 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	675,000$	0$	0$	No	675,000$		Lien
Matt Tennyson	IceHogs (CHI)	D	30	1990-04-23	No	205 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$		Lien
Max Veronneau	IceHogs (CHI)	RW	24	1995-12-11	Yes	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Peter Cehlarik	IceHogs (CHI)	LW/RW	25	1995-05-12	No	202 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Valentin Zykov	IceHogs (CHI)	LW/RW	25	1995-05-14	No	224 Lbs	6 ft1	No	No	No	1	Pro & Farm	894,167$	0$	0$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
14	27.14	192 Lbs	6 ft1	1.79	890,476$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Adam Erne	Joseph Blandisi	Austin Czarnik	40	1	2	2
2	Kiefer Sherwood	Logan Brown	Peter Cehlarik	30	1	2	2
3	Valentin Zykov	Griffen Molino	Max Veronneau	20	1	2	2
4	Joseph Blandisi	Adam Erne	Logan Brown	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Tennyson	Cameron Schilling	40	1	2	2
2	Matt Bartkowski	Justin Holl	30	1	2	2
3			20	1	2	2
4	Matt Tennyson	Cameron Schilling	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Adam Erne	Joseph Blandisi	Austin Czarnik	60	1	2	2
2	Kiefer Sherwood	Logan Brown	Peter Cehlarik	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Tennyson	Cameron Schilling	60	1	2	2
2	Matt Bartkowski	Justin Holl	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Adam Erne	Joseph Blandisi	60	1	2	2
2	Logan Brown	Austin Czarnik	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Tennyson	Cameron Schilling	60	1	2	2
2	Matt Bartkowski	Justin Holl	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Erne	60	1	2	2	Matt Tennyson	Cameron Schilling	60	1	2	2
2	Joseph Blandisi	40	1	2	2	Matt Bartkowski	Justin Holl	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Adam Erne	Joseph Blandisi	60	1	2	2
2	Logan Brown	Austin Czarnik	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Tennyson	Cameron Schilling	60	1	2	2
2	Matt Bartkowski	Justin Holl	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Adam Erne	Joseph Blandisi	Austin Czarnik	Matt Tennyson	Cameron Schilling

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Adam Erne	Joseph Blandisi	Austin Czarnik	Matt Tennyson	Cameron Schilling

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Valentin Zykov, Max Veronneau, Griffen Molino	Valentin Zykov, Max Veronneau	Griffen Molino

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Bartkowski, Justin Holl, Matt Tennyson	Matt Bartkowski	Justin Holl, Matt Tennyson

Tirs de Pénalité
Adam Erne, Joseph Blandisi, Logan Brown, Austin Czarnik, Kiefer Sherwood

Gardien
#1 : Al Montoya, #2 :

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

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

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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

	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	Checkers	5	4	1	0	0	0	0	0	19	17	2	3	2	1	0	0	0	0	0	10	11	-1	2	2	0	0	0	0	0	0	9	6	3	8	0.800	19	32	51	0	0	25	29	27	3	143	189	198	191	13	128	24	56	95	19	3	15.79%	22	2	90.91%	0	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138
2	Condors	7	4	3	0	0	0	0	0	21	22	-1	4	3	1	0	0	0	0	0	15	13	2	3	1	2	0	0	0	0	0	6	9	-3	8	0.571	21	37	58	0	1	25	29	27	3	138	189	198	191	13	164	50	66	104	37	3	8.11%	33	4	87.88%	0	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138
3	Heat	5	4	1	0	0	0	0	0	21	18	3	2	2	0	0	0	0	0	0	10	4	6	3	2	1	0	0	0	0	0	11	14	-3	8	0.800	21	33	54	0	0	25	29	27	3	120	189	198	191	13	111	32	46	74	27	5	18.52%	22	4	81.82%	1	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138
4	Moose	5	4	1	0	0	0	0	0	23	12	11	3	3	0	0	0	0	0	0	16	4	12	2	1	1	0	0	0	0	0	7	8	-1	8	0.800	23	41	64	0	0	25	29	27	3	190	189	198	191	13	73	31	37	71	26	2	7.69%	16	4	75.00%	0	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138
	Total	22	16	6	0	0	0	0	0	84	69	15	12	10	2	0	0	0	0	0	51	32	19	10	6	4	0	0	0	0	0	33	37	-4	32	0.727	84	143	227	0	1	25	29	27	3	591	189	198	191	13	476	137	205	344	109	13	11.93%	93	14	84.95%	1	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138
	_Since Last GM Reset	22	16	6	0	0	0	0	0	84	69	15	12	10	2	0	0	0	0	0	51	32	19	10	6	4	0	0	0	0	0	33	37	-4	32	0.727	84	143	227	0	1	25	29	27	3	591	189	198	191	13	476	137	205	344	109	13	11.93%	93	14	84.95%	1	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138
	_Vs Conference	17	12	5	0	0	0	0	0	65	52	13	9	8	1	0	0	0	0	0	41	21	20	8	4	4	0	0	0	0	0	24	31	-7	24	0.706	65	111	176	0	1	25	29	27	3	448	189	198	191	13	348	113	149	249	90	10	11.11%	71	12	83.10%	1	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138
	_Vs Division	5	4	1	0	0	0	0	0	23	12	11	3	3	0	0	0	0	0	0	16	4	12	2	1	1	0	0	0	0	0	7	8	-1	8	0.800	23	41	64	0	0	25	29	27	3	190	189	198	191	13	73	31	37	71	26	2	7.69%	16	4	75.00%	0	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138

			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
22	32	W2	84	143	227	591	476	137	205	344	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	16	6	0	0	0	0	84	69

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	10	2	0	0	0	0	51	32

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	6	4	0	0	0	0	33	37

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
7	2	1	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
109	13	11.93%	93	14	84.95%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
189	198	191	13	25	29	27	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
420	643	65.32%	276	497	55.53%	229	345	66.38%

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
605	445	495	143	264	138

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	Lien
2 - 2019-10-05	6	Moose	1	IceHogs	6	W		Sommaire du Match
4 - 2019-10-07	14	Moose	1	IceHogs	4	W		Sommaire du Match
6 - 2019-10-09	22	IceHogs	4	Moose	3	W		Sommaire du Match
8 - 2019-10-11	30	IceHogs	3	Moose	5	L		Sommaire du Match
10 - 2019-10-13	38	Moose	2	IceHogs	6	W		Sommaire du Match
16 - 2019-10-19	60	Condors	2	IceHogs	3	W		Sommaire du Match
18 - 2019-10-21	64	Condors	3	IceHogs	4	W	X	Sommaire du Match
20 - 2019-10-23	68	IceHogs	2	Condors	0	W		Sommaire du Match
22 - 2019-10-25	72	IceHogs	1	Condors	5	L		Sommaire du Match
24 - 2019-10-27	76	Condors	4	IceHogs	3	L	X	Sommaire du Match
26 - 2019-10-29	80	IceHogs	3	Condors	4	L		Sommaire du Match
28 - 2019-10-31	84	Condors	4	IceHogs	5	W	X	Sommaire du Match
30 - 2019-11-02	86	IceHogs	3	Heat	9	L		Sommaire du Match
32 - 2019-11-04	88	IceHogs	4	Heat	3	W		Sommaire du Match
34 - 2019-11-06	90	Heat	2	IceHogs	6	W		Sommaire du Match
36 - 2019-11-08	92	Heat	2	IceHogs	4	W		Sommaire du Match
38 - 2019-11-10	94	IceHogs	4	Heat	2	W		Sommaire du Match
43 - 2019-11-15	99	Checkers	6	IceHogs	3	L		Sommaire du Match
44 - 2019-11-16	100	Checkers	3	IceHogs	4	W		Sommaire du Match
45 - 2019-11-17	101	IceHogs	6	Checkers	5	W	X	Sommaire du Match
46 - 2019-11-18	102	IceHogs	3	Checkers	1	W		Sommaire du Match
47 - 2019-11-19	103	Checkers	2	IceHogs	3	W		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	0
Assistance	24,000	11,962
Assistance PCT	100.00%	99.68%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
29	2997 - 99.89%	70,000$	840,000$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	1,246,667$	1,246,667$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
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	0$	0$

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
2019	82	70	9	0	1	1	0	1	513	161	352	41	35	5	0	0	1	0	0	291	79	212	41	35	4	0	1	0	0	1	222	82	140	140	513	897	1410	0	15	235	161	116	1	3422	1151	1135	1135	4	1419	410	692	1490	252	51	20.24%	260	32	87.69%	2	1775	2510	70.72%	971	1516	64.05%	976	1360	71.76%	2794	2250	1284	398	850	501
Total Saison Régulière	82	70	9	0	1	1	0	1	513	161	352	41	35	5	0	0	1	0	0	291	79	212	41	35	4	0	1	0	0	1	222	82	140	140	513	897	1410	0	15	235	161	116	1	3422	1151	1135	1135	4	1419	410	692	1490	252	51	20.24%	260	32	87.69%	2	1775	2510	70.72%	971	1516	64.05%	976	1360	71.76%	2794	2250	1284	398	850	501
2019	22	16	6	0	0	0	0	0	84	69	15	12	10	2	0	0	0	0	0	51	32	19	10	6	4	0	0	0	0	0	33	37	-4	32	84	143	227	0	1	25	29	27	3	591	189	198	191	13	476	137	205	344	109	13	11.93%	93	14	84.95%	1	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138
Total Séries	22	16	6	0	0	0	0	0	84	69	15	12	10	2	0	0	0	0	0	51	32	19	10	6	4	0	0	0	0	0	33	37	-4	32	84	143	227	0	1	25	29	27	3	591	189	198	191	13	476	137	205	344	109	13	11.93%	93	14	84.95%	1	420	643	65.32%	276	497	55.53%	229	345	66.38%	605	445	495	143	264	138