LHSRSM - Roadrunners

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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
1	Dryden Hunt		X			100.00	68	43	84	63	73	80	78	62	57	61	61	64	62	69	65	0	50	63	0	23	1	715,000$
2	Jeremy Bracco			X		100.00	53	39	87	69	58	86	84	67	73	68	57	59	66	65	63	0	50	63	0	22	1	925,000$
3	Lane Pederson	X				100.00	58	49	83	63	72	88	82	61	73	60	62	58	63	65	61	0	50	62	0	22	1	690,000$
4	Jean-Sebastien Dea	X				100.00	55	45	86	63	66	79	78	62	74	61	60	59	62	71	66	0	50	62	0	25	2	700,000$
5	Danick Martel		X			100.00	55	43	84	62	66	71	73	60	54	59	58	61	58	71	66	0	50	61	0	24	1	700,000$
6	Joey Anderson			X		100.00	59	39	81	62	70	74	73	61	57	60	59	63	61	63	62	0	50	61	0	21	1	925,000$
7	Laurent Dauphin	X				100.00	59	46	87	61	73	80	79	59	71	60	58	62	59	69	65	0	50	61	0	24	1	700,000$
8	Eric Cornel			X		100.00	64	46	86	57	79	89	92	56	53	55	55	58	56	67	64	0	50	60	0	23	1	650,000$
9	Kirill Maksimov		X			100.00	70	51	85	58	85	87	84	56	51	53	54	57	59	61	63	0	50	60	0	20	3	879,167$
10	Reid Duke	X				100.00	59	51	79	58	73	83	78	57	64	56	56	59	60	67	64	0	50	60	0	23	1	925,000$
11	Morgan Klimchuk		X			100.00	57	45	86	60	71	82	80	59	52	55	58	56	60	68	65	0	50	60	0	24	1	700,000$
12	Conor Timmins				X	100.00	61	45	86	64	77	73	69	62	30	63	57	59	46	63	62	0	50	62	0	21	2	925,000$
13	Andrew Peeke				X	100.00	64	42	90	61	82	75	67	59	30	60	58	62	47	63	62	0	50	61	0	21	2	1,491,667$
14	Dennis Gilbert				X	100.00	72	55	77	59	84	81	79	58	30	57	56	61	52	67	64	0	50	61	0	22	2	925,000$
15	Dillon Simpson				X	100.00	67	46	83	58	81	88	92	56	30	55	54	57	45	73	67	0	50	61	0	26	1	675,000$
16	Martin Fehervary				X	100.00	64	45	87	60	81	84	74	58	30	57	57	59	46	61	63	0	50	61	0	20	3	894,167$
17	Kevin Gravel				X	100.00	66	43	84	59	87	72	67	58	30	57	56	64	53	75	68	0	50	61	0	27	1	700,000$
18	Jake Walman				X	100.00	57	43	88	60	71	78	75	59	30	58	57	61	53	67	64	0	50	60	0	23	1	925,000$
Rayé
1	Ryan Fitzgerald		X			100.00	54	43	86	61	64	87	88	59	55	58	56	54	59	71	66	0	50	60	0	24	1	700,000$
2	Thomas Di Pauli	X				100.00	58	43	77	60	70	68	69	61	64	58	59	57	61	71	66	0	50	60	0	25	2	700,000$
3	Julien Nantel		X			100.00	59	42	81	56	73	79	78	54	50	52	55	57	53	67	64	0	50	58	0	23	1	650,000$
4	Joey Laleggia				X	100.00	53	38	86	60	66	87	88	59	30	58	56	54	50	75	68	0	50	60	0	27	1	675,000$

	MOYENNE D'ÉQUIPE					100.00	61	45	84	61	74	81	79	59	49	58	57	59	56	68	64	0	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	Adin Hill	100.00	77	75	73	93	76	75	77	76	75	77	76	67	71	0	50	67	0
2	Gilles Senn	100.00	76	80	78	88	75	74	76	75	74	76	75	67	71	0	50	66	0
Rayé
1	Landon Bow	100.00	74	70	68	93	73	72	74	73	72	74	73	69	73	0	50	65	0
2	Ryan Bednard	100.00	72	57	55	91	71	70	72	71	70	72	71	65	69	0	50	63	0

	MOYENNE D'ÉQUIPE	100.00	75	71	69	91	74	73	75	74	73	75	74	67	71	0	50	65

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

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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	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Lane Pederson	Roadrunners (ARI)	C	3	0	5	5	4	2	10	6	12	4	8	0.00%	1	60	20.33	6	19	0	1	1	0	2	0	0	48.35%	91	1.64	0	0	1
2	Laurent Dauphin	Roadrunners (ARI)	C	3	2	2	4	4	2	4	9	9	9	6	22.22%	1	43	14.56	0	1	0	0	0	0	0	1	0	47.83%	46	1.83	0	1	1
3	Andrew Peeke	Roadrunners (ARI)	D	3	0	3	3	0	0	4	3	1	1	3	0.00%	6	53	17.77	0	2	0	0	0	0	1	0	0	0.00%	0	1.13	0	0	0
4	Dryden Hunt	Roadrunners (ARI)	LW	3	2	1	3	3	0	5	8	22	7	10	9.09%	1	74	24.70	10	18	0	0	0	0	4	0	0	50.00%	6	0.81	0	1	0
5	Jeremy Bracco	Roadrunners (ARI)	RW	3	3	0	3	2	0	1	9	19	5	7	15.79%	1	74	24.98	6	18	0	0	0	0	5	1	1	29.41%	17	0.80	1	0	0
6	Reid Duke	Roadrunners (ARI)	C	3	0	2	2	4	0	2	2	6	4	6	0.00%	0	51	17.06	0	1	0	0	0	0	0	0	0	45.00%	20	0.78	0	0	0
7	Kevin Gravel	Roadrunners (ARI)	D	3	0	2	2	3	0	3	3	4	1	2	0.00%	3	63	21.11	2	16	0	0	0	0	4	0	0	0.00%	0	0.63	0	0	0
8	Conor Timmins	Roadrunners (ARI)	D	3	1	0	1	1	0	5	3	15	1	9	6.67%	2	72	24.00	12	18	0	0	0	0	4	0	0	0.00%	0	0.28	0	0	0
9	Danick Martel	Roadrunners (ARI)	LW	3	0	1	1	-1	0	6	5	14	2	6	0.00%	0	58	19.42	6	16	0	0	0	0	1	0	0	80.00%	5	0.34	0	0	0
10	Dennis Gilbert	Roadrunners (ARI)	D	3	0	1	1	3	4	2	0	6	2	4	0.00%	1	63	21.07	2	16	0	0	0	0	2	0	0	0.00%	0	0.32	0	0	0
11	Joey Anderson	Roadrunners (ARI)	RW	3	1	0	1	-1	2	6	7	11	5	13	9.09%	0	56	18.84	5	16	0	0	0	0	0	0	0	40.00%	5	0.35	0	0	0
12	Martin Fehervary	Roadrunners (ARI)	D	3	0	1	1	2	0	1	4	4	0	2	0.00%	4	43	14.45	0	0	0	0	0	0	2	0	0	0.00%	0	0.46	0	0	0
13	Jean-Sebastien Dea	Roadrunners (ARI)	C	3	1	0	1	0	0	3	6	11	2	10	9.09%	0	60	20.09	3	16	1	0	1	1	2	1	0	46.15%	78	0.33	0	0	0
14	Eric Cornel	Roadrunners (ARI)	RW	3	0	0	0	3	4	2	5	7	2	4	0.00%	4	45	15.02	0	0	0	0	0	0	3	0	0	60.00%	5	0.00	0	0	0
15	Jake Walman	Roadrunners (ARI)	D	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.49	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
16	Dillon Simpson	Roadrunners (ARI)	D	3	0	0	0	3	2	3	2	5	2	11	0.00%	3	63	21.10	4	19	0	0	0	0	4	0	0	0.00%	0	0.00	0	0	0
17	Kirill Maksimov	Roadrunners (ARI)	LW	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.38	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				51	10	18	28	30	16	57	72	146	47	101	6.85%	27	886	17.37	56	181	1	1	2	1	39	3	1	46.89%	273	0.63	1	2	2

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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	Adin Hill	Roadrunners (ARI)	3	3	0	0	0.940	1.67	180	0	0	5	83	0	0	0	0.000	0	3	0	0	0	1
Stats d'équipe Total ou en Moyenne			3	3	0	0	0.940	1.67	180	0	0	5	83	0	0	0	0.000	0	3	0	0	0	1

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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
Adin Hill	Roadrunners (ARI)	G	23	1996-05-11	No	202 Lbs	6 ft6	No	No	No	1	Pro & Farm	708,750$	0$	0$	No			Lien / Lien NHL
Andrew Peeke	Roadrunners (ARI)	D	21	1998-03-17	No	194 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,491,667$	0$	0$	No	1,491,667$		Lien
Conor Timmins	Roadrunners (ARI)	D	21	1998-09-18	No	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Danick Martel	Roadrunners (ARI)	LW	24	1994-12-12	No	184 Lbs	5 ft9	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien
Dennis Gilbert	Roadrunners (ARI)	D	22	1996-10-30	No	216 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Dillon Simpson	Roadrunners (ARI)	D	26	1993-02-10	No	204 Lbs	6 ft2	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien / Lien NHL
Dryden Hunt	Roadrunners (ARI)	LW	23	1995-11-24	No	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	715,000$	0$	0$	No			Lien / Lien NHL
Eric Cornel	Roadrunners (ARI)	RW	23	1996-04-11	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien / Lien NHL
Gilles Senn	Roadrunners (ARI)	G	23	1996-03-01	No	191 Lbs	6 ft5	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Jake Walman	Roadrunners (ARI)	D	23	1996-02-20	No	170 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Jean-Sebastien Dea	Roadrunners (ARI)	C	25	1994-02-08	No	168 Lbs	5 ft11	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien / Lien NHL
Jeremy Bracco	Roadrunners (ARI)	RW	22	1997-03-17	No	181 Lbs	5 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Joey Anderson	Roadrunners (ARI)	RW	21	1998-06-19	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Joey Laleggia	Roadrunners (ARI)	D	27	1992-06-24	No	182 Lbs	5 ft9	No	No	No	1	Pro & Farm	675,000$	0$	0$	No			Lien / Lien NHL
Julien Nantel	Roadrunners (ARI)	LW	23	1996-09-06	No	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien / Lien NHL
Kevin Gravel	Roadrunners (ARI)	D	27	1992-03-06	No	205 Lbs	6 ft4	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Kirill Maksimov	Roadrunners (ARI)	LW	20	1999-06-01	No	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	879,167$	0$	0$	No	879,167$	879,167$	Lien
Landon Bow	Roadrunners (ARI)	G	24	1995-08-24	No	220 Lbs	6 ft5	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Lane Pederson	Roadrunners (ARI)	C	22	1997-08-04	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	690,000$	0$	0$	No			Lien / Lien NHL
Laurent Dauphin	Roadrunners (ARI)	C	24	1995-03-27	No	180 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Martin Fehervary	Roadrunners (ARI)	D	20	1999-10-06	No	200 Lbs	6 ft2	No	No	No	3	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$	Lien
Morgan Klimchuk	Roadrunners (ARI)	LW	24	1995-03-02	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Reid Duke	Roadrunners (ARI)	C	23	1996-01-28	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Ryan Bednard	Roadrunners (ARI)	G	22	1997-03-31	No	207 Lbs	6 ft5	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien
Ryan Fitzgerald	Roadrunners (ARI)	LW	24	1994-10-19	No	172 Lbs	5 ft9	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Thomas Di Pauli	Roadrunners (ARI)	C	25	1994-04-29	No	188 Lbs	5 ft11	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$		Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	23.15	192 Lbs	6 ft1	1.42	808,798$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dryden Hunt	Lane Pederson	Jeremy Bracco	30	1	2	2
2	Danick Martel	Jean-Sebastien Dea	Joey Anderson	30	1	2	2
3	Reid Duke	Laurent Dauphin	Eric Cornel	25	1	2	2
4	Jeremy Bracco	Reid Duke	Dryden Hunt	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Conor Timmins	Andrew Peeke	30	1	2	2
2	Dennis Gilbert	Kevin Gravel	30	1	2	2
3	Dillon Simpson	Martin Fehervary	25	1	2	2
4	Andrew Peeke	Conor Timmins	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dryden Hunt	Lane Pederson	Jeremy Bracco	60	1	2	2
2	Danick Martel	Jean-Sebastien Dea	Joey Anderson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Conor Timmins	Dillon Simpson	60	1	2	2
2	Dennis Gilbert	Kevin Gravel	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jeremy Bracco	Dryden Hunt	60	1	2	2
2	Lane Pederson	Jean-Sebastien Dea	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Conor Timmins	Dillon Simpson	60	1	2	2
2	Dennis Gilbert	Kevin Gravel	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jeremy Bracco	60	1	2	2	Conor Timmins	Dillon Simpson	60	1	2	2
2	Dryden Hunt	40	1	2	2	Dennis Gilbert	Kevin Gravel	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jeremy Bracco	Dryden Hunt	60	1	2	2
2	Lane Pederson	Jean-Sebastien Dea	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Conor Timmins	Andrew Peeke	60	1	2	2
2	Dennis Gilbert	Kevin Gravel	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dryden Hunt	Lane Pederson	Jeremy Bracco	Conor Timmins	Dillon Simpson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dryden Hunt	Lane Pederson	Jeremy Bracco	Conor Timmins	Dillon Simpson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Laurent Dauphin, Reid Duke, Eric Cornel	Laurent Dauphin, Reid Duke	Eric Cornel

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dillon Simpson, Martin Fehervary, Andrew Peeke	Dillon Simpson	Martin Fehervary, Andrew Peeke

Tirs de Pénalité
Jeremy Bracco, Dryden Hunt, Lane Pederson, Jean-Sebastien Dea, Danick Martel

Gardien
#1 : Adin Hill, #2 : Gilles Senn

Lignes d'Attaque Perso. en Prol.
Dryden Hunt, Jeremy Bracco, Lane Pederson, Jean-Sebastien Dea, Laurent Dauphin, Danick Martel, Danick Martel, Eric Cornel, Reid Duke, Joey Anderson, Morgan Klimchuk

Lignes de Défense Perso. en Prol.
Conor Timmins, Dennis Gilbert, Kevin Gravel, Andrew Peeke, Martin Fehervary

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	Stars	3	3	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	5	2	3	6	1.000	10	18	28	0	0	6	3	1	0	146	41	56	49	0	83	27	16	57	19	0	0.00%	6	1	83.33%	1	62	144	43.06%	46	89	51.69%	20	40	50.00%	87	63	55	19	36	19
	Total	3	3	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	5	2	3	6	1.000	10	18	28	0	0	6	3	1	0	146	41	56	49	0	83	27	16	57	19	0	0.00%	6	1	83.33%	1	62	144	43.06%	46	89	51.69%	20	40	50.00%	87	63	55	19	36	19
	_Since Last GM Reset	3	3	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	5	2	3	6	1.000	10	18	28	0	0	6	3	1	0	146	41	56	49	0	83	27	16	57	19	0	0.00%	6	1	83.33%	1	62	144	43.06%	46	89	51.69%	20	40	50.00%	87	63	55	19	36	19
	_Vs Conference	3	3	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	5	2	3	6	1.000	10	18	28	0	0	6	3	1	0	146	41	56	49	0	83	27	16	57	19	0	0.00%	6	1	83.33%	1	62	144	43.06%	46	89	51.69%	20	40	50.00%	87	63	55	19	36	19
	_Vs Division	3	3	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	5	2	3	6	1.000	10	18	28	0	0	6	3	1	0	146	41	56	49	0	83	27	16	57	19	0	0.00%	6	1	83.33%	1	62	144	43.06%	46	89	51.69%	20	40	50.00%	87	63	55	19	36	19

			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
3	6	W3	10	18	28	146	83	27	16	57	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	10	5

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	5	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	5	2

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	0	0	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
19	0	0.00%	6	1	83.33%	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
41	56	49	0	6	3	1	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
62	144	43.06%	46	89	51.69%	20	40	50.00%

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
87	63	55	19	36	19

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	Lien
2 - 2021-04-07	7	Roadrunners	2	Stars	1	W	Sommaire du Match
4 - 2021-04-09	15	Roadrunners	3	Stars	1	W	Sommaire du Match
6 - 2021-04-11	23	Stars	3	Roadrunners	5	W	Sommaire du Match
8 - 2021-04-13	31	Stars	-	Roadrunners	-
10 - 2021-04-15	39	Roadrunners	-	Stars	-
12 - 2021-04-17	47	Stars	-	Roadrunners	-
14 - 2021-04-19	55	Roadrunners	-	Stars	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
40	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	2,102,876$	736,500$	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$	8	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
2	82	46	23	0	1	1	6	5	280	220	60	41	24	10	0	1	1	2	3	133	107	26	41	22	13	0	0	0	4	2	147	113	34	92	280	492	772	0	5	109	87	77	13	2570	855	823	870	59	2241	589	1191	1672	360	80	22.22%	474	73	84.60%	7	1653	2842	58.16%	1467	2541	57.73%	678	1269	53.43%	2084	1410	1810	621	1084	557
3	82	43	22	0	4	2	7	4	281	199	82	41	20	11	0	1	1	6	2	134	99	35	41	23	11	0	3	1	1	2	147	100	47	86	281	501	782	0	9	100	87	83	21	3155	1023	1012	1076	91	2201	586	978	1643	374	67	17.91%	406	54	86.70%	3	1967	3143	62.58%	1477	2482	59.51%	792	1289	61.44%	2231	1570	1709	589	1049	556
4	82	41	25	0	2	2	6	6	276	206	70	41	22	13	0	0	2	2	2	134	101	33	41	19	12	0	2	0	4	4	142	105	37	82	276	507	783	0	3	109	96	63	15	2952	950	983	991	75	2435	720	1436	1852	616	115	18.67%	582	109	81.27%	2	1766	3237	54.56%	1508	2928	51.50%	682	1247	54.69%	2131	1458	1825	629	1027	535
5	82	43	24	0	3	1	7	4	266	198	68	41	23	14	0	2	0	2	0	137	107	30	41	20	10	0	1	1	5	4	129	91	38	86	266	470	736	1	10	99	95	62	17	3061	1080	959	986	80	2186	643	363	1768	218	55	25.23%	139	26	81.29%	4	1714	2921	58.68%	1198	2294	52.22%	704	1281	54.96%	2293	1705	1689	525	999	533
6	82	58	17	0	0	1	2	4	322	196	126	41	30	7	0	0	1	1	2	163	93	70	41	28	10	0	0	0	1	2	159	103	56	116	322	581	903	1	6	128	116	76	3	3567	1176	1184	1196	32	2484	727	567	2221	216	47	21.76%	263	34	87.07%	3	1899	3309	57.39%	1460	2729	53.50%	734	1319	55.65%	2253	1633	1671	544	1026	550
7	82	45	23	0	3	3	4	4	324	220	104	41	23	10	0	3	2	1	2	167	107	60	41	22	13	0	0	1	3	2	157	113	44	90	324	573	897	1	7	131	106	80	13	3670	1233	1145	1258	74	2762	825	501	2071	230	54	23.48%	221	46	79.19%	0	1950	3297	59.14%	1592	3031	52.52%	702	1295	54.21%	2164	1583	1805	553	996	511
8	82	53	16	0	1	0	6	6	400	177	223	41	27	8	0	1	0	2	3	200	85	115	41	26	8	0	0	0	4	3	200	92	108	106	400	722	1122	1	9	166	129	98	16	3980	1249	1404	1287	94	2391	715	367	1882	181	35	19.34%	165	34	79.39%	4	2003	3286	60.96%	1488	2597	57.30%	797	1346	59.21%	2401	1818	1597	507	985	532
8	82	53	16	0	1	0	6	6	400	177	223	41	27	8	0	1	0	2	3	200	85	115	41	26	8	0	0	0	4	3	200	92	108	106	400	722	1122	1	9	166	129	98	16	3980	1249	1404	1287	94	2391	715	367	1882	181	35	19.34%	165	34	79.39%	4	2003	3286	60.96%	1488	2597	57.30%	797	1346	59.21%	2401	1818	1597	507	985	532
9	82	38	32	0	2	0	5	5	344	262	82	41	20	12	0	1	0	3	5	201	136	65	41	18	20	0	1	0	2	0	143	126	17	95	344	626	970	0	2	118	116	103	10	3278	1040	1113	1091	69	2795	848	491	1882	185	40	21.62%	211	37	82.46%	2	1796	3059	58.71%	1581	2883	54.84%	786	1406	55.90%	2143	1549	1797	557	1033	536
Total Saison Régulière	738	420	198	0	17	10	49	44	2893	1855	1038	369	216	93	0	10	7	21	22	1469	920	549	369	204	105	0	7	3	28	22	1424	935	489	859	2893	5194	8087	5	60	1126	961	740	124	30213	9855	10027	10042	668	21886	6368	6261	16873	2561	528	20.62%	2626	447	82.98%	29	16751	28380	59.02%	13259	24082	55.06%	6672	11798	56.55%	20103	14547	15505	5036	9188	4847
Séries
2	6	2	4	0	0	0	0	0	11	20	-9	3	0	3	0	0	0	0	0	5	14	-9	3	2	1	0	0	0	0	0	6	6	0	4	11	20	31	0	0	2	4	4	1	163	57	46	59	1	198	62	75	109	32	3	9.38%	30	6	80.00%	0	84	198	42.42%	88	208	42.31%	39	93	41.94%	130	85	152	50	77	37
3	11	4	7	0	0	0	0	0	28	31	-3	6	4	2	0	0	0	0	0	18	13	5	5	0	5	0	0	0	0	0	10	18	-8	8	28	53	81	0	0	8	12	8	0	378	125	116	119	18	301	99	136	197	53	10	18.87%	57	8	85.96%	0	254	419	60.62%	194	355	54.65%	107	177	60.45%	281	191	269	87	145	72
4	6	2	4	0	0	0	0	0	13	13	0	3	2	1	0	0	0	0	0	9	6	3	3	0	3	0	0	0	0	0	4	7	-3	4	13	21	34	0	0	6	2	5	0	179	82	42	55	0	178	40	95	123	46	8	17.39%	38	7	81.58%	0	107	231	46.32%	91	217	41.94%	35	75	46.67%	138	91	146	48	74	36
5	13	7	6	0	0	0	0	0	45	34	11	6	4	2	0	0	0	0	0	21	13	8	7	3	4	0	0	0	0	0	24	21	3	14	45	78	123	0	0	22	10	12	1	461	137	140	137	47	364	132	83	283	86	23	26.74%	30	10	66.67%	0	309	520	59.42%	246	417	58.99%	124	205	60.49%	378	270	314	105	183	96
6	4	0	4	0	0	0	0	0	7	16	-9	2	0	2	0	0	0	0	0	1	8	-7	2	0	2	0	0	0	0	0	6	8	-2	0	7	13	20	0	0	2	3	2	0	137	45	37	54	1	137	41	24	88	18	2	11.11%	10	4	60.00%	0	78	152	51.32%	74	153	48.37%	22	55	40.00%	99	66	93	33	52	27
7	5	1	4	0	0	0	0	0	12	19	-7	3	0	3	0	0	0	0	0	5	12	-7	2	1	1	0	0	0	0	0	7	7	0	2	12	21	33	0	0	2	8	2	0	157	50	56	51	0	235	79	42	104	19	4	21.05%	20	6	70.00%	0	79	172	45.93%	88	231	38.10%	41	84	48.81%	105	72	133	36	62	28
8	23	16	7	0	0	0	0	0	73	56	17	12	9	3	0	0	0	0	0	40	28	12	11	7	4	0	0	0	0	0	33	28	5	32	73	132	205	0	3	25	17	29	2	873	279	289	278	27	835	239	142	527	71	16	22.54%	64	14	78.13%	0	431	884	48.76%	453	889	50.96%	197	358	55.03%	559	390	575	175	300	149
9	3	3	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	5	2	3	6	10	18	28	0	0	6	3	1	0	146	41	56	49	0	83	27	16	57	19	0	0.00%	6	1	83.33%	1	62	144	43.06%	46	89	51.69%	20	40	50.00%	87	63	55	19	36	19
Total Séries	71	35	36	0	0	0	0	0	199	194	5	36	20	16	0	0	0	0	0	104	97	7	35	15	20	0	0	0	0	0	95	97	-2	70	199	356	555	0	3	73	59	63	4	2494	816	782	802	94	2331	719	613	1488	344	66	19.19%	255	56	78.04%	1	1404	2720	51.62%	1280	2559	50.02%	585	1087	53.82%	1780	1231	1741	556	932	467

	Roadrunners
	GP: 3 \| W: 3 \| L: 0 GF: 10 \| GA: 5 \| PP%: 0.00% \| PK%: 83.33% DG: Christophe \| Morale : 50 \| Moyenne d'Équipe : 62 Prochain matchs #31 vs Stars