LHSRSM - Roadrunners

Coyotes
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Stats d'équipe en Carrière
Client Web pour Lignes

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	Jeremy Bracco			X		100.00	54	36	92	65	58	94	95	64	79	69	61	58	64	63	62	0	49	63	0
2	Curtis Lazar	X				100.00	81	37	84	62	75	76	69	61	72	60	56	63	58	67	64	0	50	62	0
3	Joey Anderson (R)			X		100.00	68	36	90	61	70	74	60	61	59	60	61	67	58	62	63	0	50	62	0
4	Lane Pederson	X				100.00	58	37	87	61	72	93	90	60	64	58	59	57	60	63	62	0	50	61	0
5	Dryden Hunt		X			100.00	69	38	92	58	73	80	74	56	52	57	54	53	55	67	64	0	50	60	0
6	Ryan Fitzgerald		X			100.00	52	37	89	59	64	92	88	58	65	61	53	58	56	69	65	0	50	60	0
7	Eric Cornel			X		100.00	64	37	89	55	79	95	96	54	57	54	52	56	53	65	63	0	50	59	0
8	Laurent Dauphin	X				100.00	54	37	88	59	73	83	70	58	63	59	54	56	51	67	64	0	50	59	0
9	Landon Ferraro		X			100.00	53	40	78	57	69	72	68	56	60	56	54	57	55	75	68	0	50	59	0
10	Scott Kosmachuk			X		100.00	54	39	82	57	69	90	85	56	58	54	57	53	56	69	65	0	50	59	0
11	Thomas Di Pauli	X				100.00	52	40	79	58	59	79	73	57	63	56	55	51	56	69	65	0	50	58	0
12	Joey Laleggia				X	100.00	53	37	89	60	66	94	92	59	30	60	55	54	48	73	67	0	50	61	0
13	Dennis Gilbert				X	100.00	77	39	83	59	84	83	70	58	30	54	53	57	45	65	63	0	50	60	0
14	Dillon Simpson				X	100.00	67	36	92	54	81	94	95	53	30	56	52	58	51	72	66	0	50	60	0
15	Paul LaDue				X	100.00	58	38	90	61	80	73	50	59	30	57	58	56	49	73	68	0	50	60	0
16	Josh Jacobs				X	100.00	62	36	91	58	80	86	71	57	30	54	53	56	45	65	63	0	50	59	0
17	Duncan Siemens				X	100.00	71	41	76	53	85	88	82	52	30	54	51	59	48	71	66	0	50	59	0
18	Logan Pyett				X	100.00	63	39	74	57	71	74	70	56	30	60	58	53	54	66	67	0	50	59	0
Rayé
1	Reid Duke	X				100.00	59	38	84	56	73	85	79	56	58	55	53	54	50	65	63	0	50	58	0
2	Morgan Klimchuk		X			100.00	57	39	82	56	71	83	77	55	56	53	55	54	55	67	64	0	50	58	0
3	Julien Nantel		X			100.00	59	35	93	53	73	86	80	52	53	53	51	52	54	65	63	0	50	57	0
4	Jake Walman				X	100.00	56	38	85	54	72	93	92	53	30	52	52	55	48	65	63	0	50	58	0

	MOYENNE D'ÉQUIPE					100.00	61	38	86	58	73	85	78	57	50	57	55	56	53	67	64	0	50	60

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	Adin Hill	100.00	80	81	79	93	79	78	80	79	78	80	79	65	69	0	50	68	0
2	Landon Bow	100.00	77	69	67	91	76	75	77	76	75	77	76	67	71	0	50	66	0
Rayé
1	Harri Sateri	100.00	74	77	75	78	73	72	74	73	72	74	73	78	84	0	50	65	0
2	Evan Fitzpatrick	100.00	70	66	64	85	69	68	70	69	68	70	69	61	65	0	50	62	0

	MOYENNE D'ÉQUIPE	100.00	75	73	71	87	74	73	75	74	73	75	74	68	72	0	50	65

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Jeremy Bracco	Roadrunners (ARI)	RW	1	2	0	2	2	0	0	0	6	0	6	33.33%	0	27	27.03	0	0	0	0	3	1	0	1	25.00%	4	1.48	1	0	0
2	Joey Laleggia	Roadrunners (ARI)	D	1	0	2	2	2	0	0	1	2	2	0	0.00%	0	26	26.87	0	0	0	2	2	1	0	0	0.00%	0	1.49	0	1	0
3	Dryden Hunt	Roadrunners (ARI)	LW	1	0	1	1	1	0	0	0	0	0	1	0.00%	0	18	18.03	0	0	0	0	3	0	0	0	100.00%	1	1.11	0	0	0
4	Eric Cornel	Roadrunners (ARI)	RW	1	0	1	1	1	0	2	0	1	0	0	0.00%	0	8	8.87	0	0	0	0	0	1	0	0	0.00%	0	2.26	0	0	0
5	Dillon Simpson	Roadrunners (ARI)	D	1	0	1	1	0	0	1	0	2	0	1	0.00%	0	19	19.33	0	1	1	0	2	1	0	0	0.00%	0	1.03	0	0	0
6	Joey Anderson	Roadrunners (ARI)	RW	1	1	0	1	0	2	5	3	9	0	1	11.11%	0	18	18.70	1	0	1	2	1	0	0	0	100.00%	1	1.07	0	0	0
7	Josh Jacobs	Roadrunners (ARI)	D	1	0	1	1	0	0	0	1	0	0	1	0.00%	0	13	13.80	0	0	0	0	0	0	0	0	0.00%	0	1.45	0	0	0
8	Ryan Fitzgerald	Roadrunners (ARI)	LW	1	0	1	1	0	0	0	1	3	0	3	0.00%	0	18	18.65	0	1	1	1	1	0	0	0	0.00%	0	1.07	0	0	0
9	Landon Ferraro	Roadrunners (ARI)	LW	1	1	0	1	0	0	2	0	4	1	4	25.00%	1	13	13.45	0	0	0	0	0	0	1	0	0.00%	1	1.49	0	0	1
10	Scott Kosmachuk	Roadrunners (ARI)	RW	1	0	1	1	0	0	4	2	2	1	1	0.00%	0	13	13.45	0	0	0	0	0	0	0	0	0.00%	0	1.49	0	0	0
11	Dennis Gilbert	Roadrunners (ARI)	D	1	0	0	0	1	0	4	0	0	1	0	0.00%	1	19	19.55	0	0	0	0	2	1	0	0	0.00%	0	0.00	0	0	0
12	Curtis Lazar	Roadrunners (ARI)	C	1	0	0	0	1	2	1	2	4	2	5	0.00%	1	18	18.95	0	0	0	0	3	0	0	0	50.00%	30	0.00	0	0	0
13	Lane Pederson	Roadrunners (ARI)	C	1	0	0	0	0	0	0	0	1	1	1	0.00%	1	19	19.52	0	0	0	1	1	0	0	0	44.44%	27	0.00	0	0	0
14	Laurent Dauphin	Roadrunners (ARI)	C	1	0	0	0	0	0	3	0	7	0	2	0.00%	0	13	13.45	0	0	0	0	0	0	0	0	40.00%	20	0.00	0	0	0
15	Duncan Siemens	Roadrunners (ARI)	D	1	0	0	0	1	0	0	0	0	0	1	0.00%	0	7	7.32	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
16	Logan Pyett	Roadrunners (ARI)	D	1	0	0	0	0	0	1	0	1	0	0	0.00%	0	13	13.80	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
17	Paul LaDue	Roadrunners (ARI)	D	1	0	0	0	0	0	0	0	2	0	2	0.00%	1	19	19.33	0	0	0	0	2	1	0	0	0.00%	0	0.00	0	0	0
18	Thomas Di Pauli	Roadrunners (ARI)	C	1	0	0	0	1	0	1	0	0	1	0	0.00%	0	7	7.18	0	0	0	0	0	0	0	0	66.67%	9	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				18	4	8	12	10	4	24	10	44	9	29	9.09%	5	297	16.52	1	2	3	6	25	10	1	1	47.31%	93	0.81	1	1	1

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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Adin Hill	Roadrunners (ARI)	1	1	0	0	0.941	2.00	60	0	0	2	34	0	0	0	0.000	0	1	0	0	0	0
Stats d'équipe Total ou en Moyenne			1	1	0	0	0.941	2.00	60	0	0	2	34	0	0	0	0.000	0	1	0	0	0	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 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	22	1996-05-11	No	202 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Curtis Lazar	Roadrunners (ARI)	C	23	1995-02-02	No	205 Lbs	6 ft0	No	No	No	1	Pro & Farm	950,000$	0$	0$	No			Lien / Lien NHL
Dennis Gilbert	Roadrunners (ARI)	D	21	1996-10-30	No	216 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	Lien / Lien NHL
Dillon Simpson	Roadrunners (ARI)	D	25	1993-02-10	No	204 Lbs	6 ft2	No	No	No	2	Pro & Farm	675,000$	0$	0$	No	675,000$		Lien / Lien NHL
Dryden Hunt	Roadrunners (ARI)	LW	22	1995-11-24	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Duncan Siemens	Roadrunners (ARI)	D	25	1993-09-07	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien / Lien NHL
Eric Cornel	Roadrunners (ARI)	RW	22	1996-04-11	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Evan Fitzpatrick	Roadrunners (ARI)	G	20	1998-01-28	No	206 Lbs	6 ft3	No	No	No	3	Pro & Farm	910,833$	0$	0$	No	910,833$	910,833$	Lien / Lien NHL
Harri Sateri	Roadrunners (ARI)	G	28	1989-12-29	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No			Lien / Lien NHL
Jake Walman	Roadrunners (ARI)	D	22	1996-02-20	No	170 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Jeremy Bracco	Roadrunners (ARI)	RW	21	1997-03-17	No	181 Lbs	5 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Joey Anderson	Roadrunners (ARI)	RW	20	1998-06-19	Yes	190 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Joey Laleggia	Roadrunners (ARI)	D	26	1992-06-24	No	182 Lbs	5 ft9	No	No	No	2	Pro & Farm	675,000$	0$	0$	No	675,000$		Lien / Lien NHL
Josh Jacobs	Roadrunners (ARI)	D	22	1996-02-15	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Julien Nantel	Roadrunners (ARI)	LW	22	1996-09-06	No	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	680,000$	0$	0$	No			Lien / Lien NHL
Landon Bow	Roadrunners (ARI)	G	23	1995-08-24	No	210 Lbs	6 ft5	No	No	No	1	Pro & Farm	697,500$	0$	0$	No			Lien / Lien NHL
Landon Ferraro	Roadrunners (ARI)	LW	27	1991-08-08	No	173 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Lane Pederson	Roadrunners (ARI)	C	21	1997-08-04	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	690,000$	0$	0$	No	690,000$		Lien / Lien NHL
Laurent Dauphin	Roadrunners (ARI)	C	23	1995-03-27	No	180 Lbs	6 ft1	No	No	No	2	Pro & Farm	787,500$	0$	0$	No	700,000$		Lien / Lien NHL
Logan Pyett	Roadrunners (ARI)	D	30	1988-05-26	No	199 Lbs	5 ft10	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien / Lien NHL
Morgan Klimchuk	Roadrunners (ARI)	LW	23	1995-03-02	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No			Lien / Lien NHL
Paul LaDue	Roadrunners (ARI)	D	26	1992-09-06	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	825,000$	0$	0$	No	825,000$		Lien / Lien NHL
Reid Duke	Roadrunners (ARI)	C	22	1996-01-28	No	191 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$		Lien / Lien NHL
Ryan Fitzgerald	Roadrunners (ARI)	LW	23	1994-10-19	No	172 Lbs	5 ft9	No	No	No	1	Pro & Farm	925,000$	0$	0$	No			Lien / Lien NHL
Scott Kosmachuk	Roadrunners (ARI)	RW	24	1994-01-24	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	650,000$	0$	0$	No			Lien / Lien NHL
Thomas Di Pauli	Roadrunners (ARI)	C	24	1994-04-29	No	188 Lbs	5 ft1	No	No	No	3	Pro & Farm	650,000$	0$	0$	No	700,000$	700,000$	Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	23.35	193 Lbs	6 ft0	1.58	807,340$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dryden Hunt	Curtis Lazar	Jeremy Bracco	30	1	2	2
2	Ryan Fitzgerald	Lane Pederson	Joey Anderson	30	1	2	2
3	Landon Ferraro	Laurent Dauphin	Scott Kosmachuk	25	1	2	2
4	Jeremy Bracco	Thomas Di Pauli	Eric Cornel	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joey Laleggia	Dennis Gilbert	30	1	2	2
2	Dillon Simpson	Paul LaDue	30	1	2	2
3	Josh Jacobs	Logan Pyett	25	1	2	2
4	Duncan Siemens	Joey Laleggia	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dryden Hunt	Curtis Lazar	Jeremy Bracco	60	1	2	2
2	Ryan Fitzgerald	Lane Pederson	Joey Anderson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joey Laleggia	Dennis Gilbert	60	1	2	2
2	Dillon Simpson	Paul LaDue	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jeremy Bracco	Curtis Lazar	60	1	2	2
2	Joey Anderson	Lane Pederson	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joey Laleggia	Dennis Gilbert	60	1	2	2
2	Dillon Simpson	Paul LaDue	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	Joey Laleggia	Dennis Gilbert	60	1	2	2
2	Curtis Lazar	40	1	2	2	Dillon Simpson	Paul LaDue	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jeremy Bracco	Curtis Lazar	60	1	2	2
2	Joey Anderson	Lane Pederson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joey Laleggia	Dennis Gilbert	60	1	2	2
2	Dillon Simpson	Paul LaDue	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dryden Hunt	Curtis Lazar	Jeremy Bracco	Joey Laleggia	Dennis Gilbert

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dryden Hunt	Curtis Lazar	Jeremy Bracco	Joey Laleggia	Dennis Gilbert

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Scott Kosmachuk, Landon Ferraro, Eric Cornel	Scott Kosmachuk, Landon Ferraro	Eric Cornel

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Josh Jacobs, Logan Pyett, Duncan Siemens	Josh Jacobs	Logan Pyett, Duncan Siemens

Tirs de Pénalité
Jeremy Bracco, Curtis Lazar, Joey Anderson, Lane Pederson, Dryden Hunt

Gardien
#1 : Adin Hill, #2 : Landon Bow

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

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Gulls	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	1	1	0	44	11	19	14	0	34	5	4	24	3	1	33.33%	2	1	50.00%	0	16	40	40.00%	19	36	52.78%	9	17	52.94%	25	18	20	6	13	6
	Total	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	1	1	0	44	11	19	14	0	34	5	4	24	3	1	33.33%	2	1	50.00%	0	16	40	40.00%	19	36	52.78%	9	17	52.94%	25	18	20	6	13	6
	_Since Last GM Reset	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	1	1	0	44	11	19	14	0	34	5	4	24	3	1	33.33%	2	1	50.00%	0	16	40	40.00%	19	36	52.78%	9	17	52.94%	25	18	20	6	13	6
	_Vs Conference	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	1	1	0	44	11	19	14	0	34	5	4	24	3	1	33.33%	2	1	50.00%	0	16	40	40.00%	19	36	52.78%	9	17	52.94%	25	18	20	6	13	6

			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
1	2	W1	4	8	12	44	34	5	4	24	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	4	2

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	4	2

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	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
3	1	33.33%	2	1	50.00%	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
11	19	14	0	2	1	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
16	40	40.00%	19	36	52.78%	9	17	52.94%

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
25	18	20	6	13	6

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 - 2020-04-06	8	Gulls	2	Roadrunners	4	W	Sommaire du Match
4 - 2020-04-08	16	Gulls	-	Roadrunners	-
6 - 2020-04-10	24	Roadrunners	-	Gulls	-
8 - 2020-04-12	32	Roadrunners	-	Gulls	-
10 - 2020-04-14	40	Gulls	-	Roadrunners	-
12 - 2020-04-16	48	Roadrunners	-	Gulls	-
14 - 2020-04-18	56	Gulls	-	Roadrunners	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	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 de l'Aréna	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$	2,099,083$	2,025,333$	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$	12	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
Total Saison Régulière	656	382	166	0	15	10	44	39	2549	1593	956	328	196	81	0	9	7	18	17	1268	784	484	328	186	85	0	6	3	26	22	1281	809	472	764	2549	4568	7117	5	58	1008	845	637	114	26935	8815	8914	8951	599	19091	5520	5770	14991	2376	488	20.54%	2415	410	83.02%	27	14955	25321	59.06%	11678	21199	55.09%	5886	10392	56.64%	17960	12997	13707	4479	8154	4310
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	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	4	8	12	0	0	2	1	1	0	44	11	19	14	0	34	5	4	24	3	1	33.33%	2	1	50.00%	0	16	40	40.00%	19	36	52.78%	9	17	52.94%	25	18	20	6	13	6
Total Séries	46	17	29	0	0	0	0	0	120	135	-15	24	11	13	0	0	0	0	0	63	68	-5	22	6	16	0	0	0	0	0	57	67	-10	34	120	214	334	0	0	44	40	34	2	1519	507	456	489	67	1447	458	459	928	257	51	19.84%	187	42	77.54%	0	927	1732	53.52%	800	1617	49.47%	377	706	53.40%	1158	795	1130	368	610	305