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	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$
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	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$
2	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$
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	PIM5	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	FW	FT	S1	S2	S3
1	Dryden Hunt	Roadrunners (ARI)	LW	47	33	34	67	40	38	0	153	83	235	60	171	14.04%	26	1133	24.12	5	4	9	40	92	7	112	6	1	51.58%	95	0	3	1.18	1	6	0	0	7	3	6
2	Jeremy Bracco	Roadrunners (ARI)	RW	47	24	39	63	40	6	0	29	159	236	76	181	10.17%	16	1170	24.90	1	6	7	28	93	5	134	5	1	58.05%	410	1	2	1.08	1	6	0	0	2	3	2
3	Jean-Sebastien Dea	Roadrunners (ARI)	C	47	15	33	48	11	11	5	41	161	169	52	134	8.88%	9	920	19.59	1	6	7	19	82	5	59	2	0	59.63%	1090	0	0	1.04	1	3	0	1	1	3	2
4	Joey Anderson	Roadrunners (ARI)	RW	47	25	20	45	9	22	0	69	79	184	48	140	13.59%	9	848	18.04	4	2	6	23	84	0	0	2	0	44.93%	69	0	2	1.06	0	0	0	0	3	2	3
5	Conor Timmins	Roadrunners (ARI)	D	47	7	31	38	32	4	0	72	43	67	27	54	10.45%	71	901	19.19	3	4	7	26	96	1	109	0	1	0.00%	0	0	0	0.84	0	0	0	0	0	1	1
6	Danick Martel	Roadrunners (ARI)	LW	47	13	25	38	9	21	5	40	79	170	43	145	7.65%	11	865	18.42	3	4	7	23	85	0	18	1	0	41.27%	63	0	0	0.88	0	0	0	1	1	0	1
7	Laurent Dauphin	Roadrunners (ARI)	C	47	10	27	37	8	8	0	44	123	141	53	114	7.09%	14	721	15.36	0	2	2	1	2	0	3	1	0	55.41%	868	0	0	1.03	0	0	0	0	0	2	3
8	Lane Pederson	Roadrunners (ARI)	C	47	13	22	35	27	25	5	51	97	107	40	85	12.15%	6	823	17.52	0	6	6	14	93	0	64	2	1	54.51%	1097	1	1	0.85	0	5	0	1	2	4	0
9	Andrew Peeke	Roadrunners (ARI)	D	47	9	24	33	27	26	0	65	40	49	18	41	18.37%	51	886	18.87	0	1	1	1	2	0	5	1	1	0.00%	0	0	0	0.74	0	0	0	0	1	2	0
10	Kevin Gravel	Roadrunners (ARI)	D	47	5	28	33	18	10	0	57	39	75	20	57	6.67%	61	940	20.00	0	2	2	20	78	1	95	3	0	0.00%	0	0	0	0.70	0	0	0	0	0	1	1
11	Eric Cornel	Roadrunners (ARI)	RW	47	14	15	29	6	10	0	69	49	113	33	81	12.39%	11	771	16.41	0	0	0	0	1	1	37	1	3	51.90%	79	0	0	0.75	0	0	0	0	2	0	3
12	Dillon Simpson	Roadrunners (ARI)	D	47	6	18	24	8	16	0	77	23	62	18	36	9.68%	55	858	18.26	2	2	4	23	82	0	88	0	2	0.00%	0	0	0	0.56	0	0	0	0	1	1	0
13	Dennis Gilbert	Roadrunners (ARI)	D	47	9	13	22	17	43	5	134	41	73	23	50	12.33%	68	918	19.54	2	4	6	16	78	1	84	1	1	0.00%	0	0	1	0.48	0	0	1	0	1	1	1
14	Martin Fehervary	Roadrunners (ARI)	D	47	3	16	19	7	8	0	38	23	44	11	21	6.82%	45	706	15.02	0	0	0	0	0	1	31	0	0	0.00%	0	0	0	0.54	0	0	0	0	1	0	0
15	Reid Duke	Roadrunners (ARI)	C	45	4	7	11	13	4	0	17	22	28	13	28	14.29%	2	254	5.65	1	0	1	1	1	0	0	0	0	55.91%	313	0	0	0.86	0	0	0	0	1	0	0
16	Kirill Maksimov	Roadrunners (ARI)	LW	43	4	6	10	6	10	0	44	21	52	6	37	7.69%	2	304	7.09	0	0	0	0	0	0	2	0	0	38.89%	18	0	0	0.66	0	0	0	0	0	0	1
17	Jake Walman	Roadrunners (ARI)	D	45	1	7	8	3	4	0	15	20	17	4	13	5.88%	16	297	6.61	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.54	0	0	0	0	0	0	1
18	Morgan Klimchuk	Roadrunners (ARI)	LW	28	6	2	8	1	8	0	16	25	66	21	41	9.09%	6	367	13.12	0	0	0	0	0	0	0	0	1	35.48%	31	0	0	0.44	0	0	0	0	1	0	0
19	Josh Jacobs	Coyotes	D	8	1	4	5	1	4	0	20	12	11	8	11	9.09%	9	156	19.51	1	0	1	5	17	0	15	0	0	0.00%	0	0	0	0.64	0	0	0	0	0	1	0
20	Jack Hughes	Coyotes	C	2	0	2	2	0	0	0	1	3	11	0	4	0.00%	1	47	23.83	0	0	0	0	2	0	3	0	0	41.07%	56	0	0	0.84	0	0	0	0	0	0	0
21	Ryan Fitzgerald	Roadrunners (ARI)	LW	4	0	1	1	-1	0	0	1	7	8	2	7	0.00%	0	62	15.59	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0.32	0	0	0	0	0	0	0
22	Paul LaDue	Coyotes	D	2	0	0	0	1	0	0	3	2	2	0	0	0.00%	5	39	19.98	0	0	0	0	3	0	3	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				835	202	374	576	283	278	20	1056	1151	1920	576	1451	10.52%	494	13996	16.76	23	43	66	240	898	22	869	25	12	55.63%	4190	2	9	0.82	3	20	1	3	24	24	25

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Adin Hill	Roadrunners (ARI)	47	24	16	4	0.911	2.99	2685	6	2	134	1505	1	0.647	17	47	0	2	3	1
2	Gilles Senn	Roadrunners (ARI)	5	3	0	0	0.966	1.10	163	0	0	3	88	0	1.000	4	0	47	0	0	0
Stats d'équipe Total ou en Moyenne			52	27	16	4	0.914	2.89	2848	6	2	137	1593	1	0.714	21	47	47	2	3	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	Kirill Maksimov	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	Jake Walman	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, Kirill Maksimov

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	Admirals	4	1	2	0	0	0	1	0	14	13	1	3	1	2	0	0	0	0	0	10	10	0	1	0	0	0	0	0	1	0	4	3	1	4	0.500	14	23	37	0	0	71	67	63	4	165	596	670	638	36	139	45	35	88	10	2	20.00%	10	1	90.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
2	Americans	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	8	1	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	13	21	0	0	71	67	63	4	38	596	670	638	36	36	10	6	18	1	1	100.00%	3	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
3	Barracuda	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	14	23	0	0	71	67	63	4	69	596	670	638	36	72	14	12	53	8	0	0.00%	5	1	80.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
4	Bears	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	9	17	26	0	0	71	67	63	4	114	596	670	638	36	60	28	12	42	3	0	0.00%	6	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
5	Bruins	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	3	5	0	0	71	67	63	4	42	596	670	638	36	29	7	2	27	6	1	16.67%	0	0	0.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
6	Checkers	3	2	1	0	0	0	0	0	7	6	1	2	2	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	0	3	-3	4	0.667	7	13	20	0	0	71	67	63	4	88	596	670	638	36	94	29	10	70	7	1	14.29%	5	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
7	Comets	2	2	0	0	0	0	0	0	17	1	16	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	9	0	9	4	1.000	17	34	51	0	1	71	67	63	4	157	596	670	638	36	47	9	10	44	0	0	0.00%	5	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
8	Condors	2	2	0	0	0	0	0	0	21	6	15	2	2	0	0	0	0	0	0	21	6	15	0	0	0	0	0	0	0	0	0	0	0	4	1.000	21	40	61	0	0	71	67	63	4	178	596	670	638	36	42	13	0	39	2	0	0.00%	0	0	0.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
9	Crunch	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	4	6	0	0	71	67	63	4	43	596	670	638	36	26	11	0	27	1	0	0.00%	0	0	0.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
10	Devils	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	3	5	0	0	71	67	63	4	27	596	670	638	36	33	12	6	15	4	1	25.00%	3	1	66.67%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
11	Eagles	2	2	0	0	0	0	0	0	12	9	3	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	12	9	3	4	1.000	12	22	34	0	0	71	67	63	4	70	596	670	638	36	85	28	10	41	5	3	60.00%	5	2	60.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
12	Griffins	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	71	67	63	4	41	596	670	638	36	44	8	2	18	3	0	0.00%	1	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
13	Gulls	1	0	0	0	1	0	0	0	6	5	1	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	12	18	0	0	71	67	63	4	33	596	670	638	36	33	11	6	26	3	1	33.33%	3	1	66.67%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
14	Heat	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	8	13	0	0	71	67	63	4	31	596	670	638	36	27	7	2	28	3	0	0.00%	1	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
15	IceHogs	3	1	2	0	0	0	0	0	14	12	2	2	1	1	0	0	0	0	0	10	6	4	1	0	1	0	0	0	0	0	4	6	-2	2	0.333	14	27	41	0	0	71	67	63	4	106	596	670	638	36	121	29	24	66	6	2	33.33%	12	1	91.67%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
16	Marlies	2	0	1	0	0	0	0	1	4	6	-2	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	1	2	-1	1	0.250	4	8	12	0	0	71	67	63	4	71	596	670	638	36	71	32	12	40	4	0	0.00%	6	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
17	Monsters	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	71	67	63	4	24	596	670	638	36	40	13	10	25	2	0	0.00%	5	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
18	Moose	1	1	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	11	1	10	0	0	0	0	0	0	0	0	0	0	0	2	1.000	11	20	31	0	0	71	67	63	4	81	596	670	638	36	19	6	0	17	0	0	0.00%	0	0	0.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
19	Penguins	1	1	0	0	0	0	0	0	6	0	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	0	6	2	1.000	6	11	17	0	1	71	67	63	4	43	596	670	638	36	49	10	4	26	1	1	100.00%	2	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
20	Phantoms	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	71	67	63	4	29	596	670	638	36	40	9	10	32	3	1	33.33%	5	2	60.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
21	Reign	2	0	2	0	0	0	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	5	7	-2	0	0.000	5	10	15	0	0	71	67	63	4	65	596	670	638	36	69	28	20	48	4	1	25.00%	9	2	77.78%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
22	Rocket	2	1	0	0	0	0	1	0	9	7	2	1	0	0	0	0	0	1	0	6	5	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	15	24	0	0	71	67	63	4	59	596	670	638	36	70	32	31	49	5	3	60.00%	6	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
23	Senators	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	71	67	63	4	37	596	670	638	36	40	13	10	33	2	0	0.00%	4	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
24	Sound Tigers	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	6	9	0	0	71	67	63	4	31	596	670	638	36	35	13	6	27	2	0	0.00%	3	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
25	Stars	3	0	3	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	6	11	17	0	0	71	67	63	4	94	596	670	638	36	108	29	20	58	4	0	0.00%	9	1	88.89%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
	Total	47	24	16	0	1	0	2	4	204	141	63	24	13	5	0	1	0	1	4	120	73	47	23	11	11	0	0	0	1	0	84	68	16	58	0.617	204	374	578	0	2	71	67	63	4	1920	596	670	638	36	1593	494	284	1056	103	23	22.33%	119	15	87.39%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
26	Wild	2	0	2	0	0	0	0	0	2	7	-5	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	2	7	-5	0	0.000	2	4	6	0	0	71	67	63	4	47	596	670	638	36	67	25	12	37	5	0	0.00%	6	1	83.33%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
27	Wolf Pack	2	2	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	11	20	31	0	0	71	67	63	4	98	596	670	638	36	68	17	10	44	3	1	33.33%	4	2	50.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
28	Wolves	1	1	0	0	0	0	0	0	8	5	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	5	3	2	1.000	8	15	23	0	0	71	67	63	4	39	596	670	638	36	29	6	2	18	6	4	66.67%	1	0	100.00%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
	_Since Last GM Reset	47	24	16	0	1	0	2	4	204	141	63	24	13	5	0	1	0	1	4	120	73	47	23	11	11	0	0	0	1	0	84	68	16	58	0.617	204	374	578	0	2	71	67	63	4	1920	596	670	638	36	1593	494	284	1056	103	23	22.33%	119	15	87.39%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
	_Vs Conference	26	13	11	0	1	0	1	0	122	86	36	12	7	4	0	1	0	0	0	68	36	32	14	6	7	0	0	0	1	0	54	50	4	30	0.577	122	223	345	0	0	71	67	63	4	1043	596	670	638	36	895	262	155	562	61	13	21.31%	67	10	85.07%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
	_Vs Division	15	7	5	0	1	0	0	0	59	52	7	7	3	1	0	1	0	0	0	33	21	12	8	4	4	0	0	0	0	0	26	31	-5	16	0.533	59	107	166	0	0	71	67	63	4	563	596	670	638	36	539	162	101	307	30	7	23.33%	42	6	85.71%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304

			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
47	58	W2	204	374	578	1920	1593	494	284	1056	0	2

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
47	24	16	1	0	2	4	204	141

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	13	5	1	0	1	4	120	73

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	11	11	0	0	1	0	84	68

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
8	1	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
103	23	22.33%	119	15	87.39%	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
596	670	638	36	71	67	63	4

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
1018	1738	58.57%	874	1635	53.46%	439	817	53.73%

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
1234	897	1032	316	585	304

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
1 - 2020-10-05	3	Checkers	1	Roadrunners	2	W			Sommaire du Match
3 - 2020-10-07	22	Roadrunners	0	Checkers	3	L			Sommaire du Match
5 - 2020-10-09	36	Comets	1	Roadrunners	8	W			Sommaire du Match
8 - 2020-10-12	56	Roadrunners	2	Reign	3	L			Sommaire du Match
9 - 2020-10-13	58	Roadrunners	5	Barracuda	2	W			Sommaire du Match
12 - 2020-10-16	81	Admirals	4	Roadrunners	3	L			Sommaire du Match
14 - 2020-10-18	101	Roadrunners	1	Senators	2	L			Sommaire du Match
15 - 2020-10-19	110	Roadrunners	2	Wild	3	L			Sommaire du Match
17 - 2020-10-21	122	Admirals	4	Roadrunners	3	L			Sommaire du Match
20 - 2020-10-24	142	Checkers	2	Roadrunners	5	W			Sommaire du Match
23 - 2020-10-27	164	Roadrunners	4	IceHogs	6	L			Sommaire du Match
24 - 2020-10-28	175	IceHogs	4	Roadrunners	2	L			Sommaire du Match
27 - 2020-10-31	196	Roadrunners	3	Stars	4	L			Sommaire du Match
29 - 2020-11-02	206	Condors	5	Roadrunners	10	W			Sommaire du Match
31 - 2020-11-04	220	Roadrunners	7	Eagles	5	W			Sommaire du Match
33 - 2020-11-06	234	Gulls	5	Roadrunners	6	W	X		Sommaire du Match
36 - 2020-11-09	257	Bruins	3	Roadrunners	2	L	X	X	Sommaire du Match
38 - 2020-11-11	268	Roadrunners	1	Marlies	2	L			Sommaire du Match
40 - 2020-11-13	283	Roadrunners	5	Heat	2	W			Sommaire du Match
42 - 2020-11-15	301	Bears	4	Roadrunners	6	W			Sommaire du Match
44 - 2020-11-17	318	Marlies	4	Roadrunners	3	L	X	X	Sommaire du Match
46 - 2020-11-19	333	Roadrunners	5	Griffins	3	W			Sommaire du Match
48 - 2020-11-21	345	Roadrunners	3	Bears	1	W			Sommaire du Match
49 - 2020-11-22	357	Moose	1	Roadrunners	11	W			Sommaire du Match
52 - 2020-11-25	381	Roadrunners	1	Stars	2	L			Sommaire du Match
54 - 2020-11-27	392	Roadrunners	6	Penguins	0	W			Sommaire du Match
55 - 2020-11-28	400	Phantoms	6	Roadrunners	1	L			Sommaire du Match
58 - 2020-12-01	424	Roadrunners	0	Wild	4	L			Sommaire du Match
59 - 2020-12-02	432	Admirals	2	Roadrunners	4	W			Sommaire du Match
61 - 2020-12-04	450	Roadrunners	5	Wolf Pack	3	W			Sommaire du Match
63 - 2020-12-06	464	Sound Tigers	4	Roadrunners	3	L	X	X	Sommaire du Match
67 - 2020-12-10	484	Roadrunners	3	Reign	4	L			Sommaire du Match
68 - 2020-12-11	494	Stars	4	Roadrunners	2	L			Sommaire du Match
71 - 2020-12-14	515	Rocket	5	Roadrunners	6	W	X	X	Sommaire du Match
73 - 2020-12-16	534	Roadrunners	8	Wolves	5	W			Sommaire du Match
75 - 2020-12-18	547	IceHogs	2	Roadrunners	8	W			Sommaire du Match
77 - 2020-12-20	559	Roadrunners	4	Admirals	3	W	X	X	Sommaire du Match
79 - 2020-12-22	574	Monsters	2	Roadrunners	4	W			Sommaire du Match
83 - 2020-12-26	599	Americans	1	Roadrunners	8	W			Sommaire du Match
85 - 2020-12-28	617	Roadrunners	3	Rocket	2	W			Sommaire du Match
87 - 2020-12-30	633	Crunch	3	Roadrunners	2	L	X	X	Sommaire du Match
89 - 2021-01-01	649	Roadrunners	9	Comets	0	W			Sommaire du Match
91 - 2021-01-03	663	Barracuda	2	Roadrunners	4	W			Sommaire du Match
94 - 2021-01-06	684	Roadrunners	5	Eagles	4	W			Sommaire du Match
96 - 2021-01-08	695	Roadrunners	2	Devils	5	L			Sommaire du Match
97 - 2021-01-09	703	Condors	1	Roadrunners	11	W			Sommaire du Match
100 - 2021-01-12	728	Wolf Pack	3	Roadrunners	6	W			Sommaire du Match
103 - 2021-01-15	749	Reign	-	Roadrunners	-
104 - 2021-01-16	761	Roadrunners	-	Crunch	-
108 - 2021-01-20	782	Roadrunners	-	Sound Tigers	-
109 - 2021-01-21	790	Penguins	-	Roadrunners	-
112 - 2021-01-24	809	Roadrunners	-	Condors	-
114 - 2021-01-26	822	Wild	-	Roadrunners	-
117 - 2021-01-29	843	Gulls	-	Roadrunners	-
119 - 2021-01-31	858	Roadrunners	-	Checkers	-
121 - 2021-02-02	876	Griffins	-	Roadrunners	-
123 - 2021-02-04	887	Roadrunners	-	Barracuda	-
126 - 2021-02-07	905	Moose	-	Roadrunners	-
128 - 2021-02-09	915	Roadrunners	-	Gulls	-
129 - 2021-02-10	927	Roadrunners	-	Americans	-
132 - 2021-02-13	945	Eagles	-	Roadrunners	-
134 - 2021-02-15	957	Roadrunners	-	Senators	-
135 - 2021-02-16	970	Roadrunners	-	Rampage	-
137 - 2021-02-18	981	Checkers	-	Roadrunners	-
139 - 2021-02-20	1002	Senators	-	Roadrunners	-
141 - 2021-02-22	1016	Roadrunners	-	Monsters	-
143 - 2021-02-24	1031	Rampage	-	Roadrunners	-
145 - 2021-02-26	1039	Roadrunners	-	Rampage	-
147 - 2021-02-28	1055	Roadrunners	-	Wolves	-
149 - 2021-03-02	1073	Wolves	-	Roadrunners	-
152 - 2021-03-05	1095	Devils	-	Roadrunners	-
156 - 2021-03-09	1121	Roadrunners	-	Thunderbirds	-
157 - 2021-03-10	1128	Comets	-	Roadrunners	-
159 - 2021-03-12	1151	Roadrunners	-	Phantoms	-
161 - 2021-03-14	1159	Comets	-	Roadrunners	-
165 - 2021-03-18	1186	Heat	-	Roadrunners	-
166 - 2021-03-19	1192	Roadrunners	-	IceHogs	-
168 - 2021-03-21	1203	Roadrunners	-	Moose	-
170 - 2021-03-23	1216	Roadrunners	-	Barracuda	-
174 - 2021-03-27	1236	Thunderbirds	-	Roadrunners	-
178 - 2021-03-31	1254	Heat	-	Roadrunners	-
179 - 2021-04-01	1262	Roadrunners	-	Bruins	-

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
17	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
1,192,249$	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$	1,192,249$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	80	11,554$	924,320$

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	47	24	16	0	1	0	2	4	204	141	63	24	13	5	0	1	0	1	4	120	73	47	23	11	11	0	0	0	1	0	84	68	16	58	204	374	578	0	2	71	67	63	4	1920	596	670	638	36	1593	494	284	1056	103	23	22.33%	119	15	87.39%	0	1018	1738	58.57%	874	1635	53.46%	439	817	53.73%	1234	897	1032	316	585	304
Total Saison Régulière	703	406	182	0	16	10	46	43	2753	1734	1019	352	209	86	0	10	7	19	21	1388	857	531	351	197	96	0	6	3	27	22	1365	877	488	822	2753	4942	7695	5	60	1079	912	700	118	28855	9411	9584	9589	635	20684	6014	6054	16047	2479	511	20.61%	2534	425	83.23%	27	15973	27059	59.03%	12552	22834	54.97%	6325	11209	56.43%	19195	13895	14739	4795	8740	4614
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
Total Séries	68	32	36	0	0	0	0	0	189	189	0	35	19	16	0	0	0	0	0	99	94	5	33	13	20	0	0	0	0	0	90	95	-5	64	189	338	527	0	3	67	56	62	4	2348	775	726	753	94	2248	692	597	1431	325	66	20.31%	249	55	77.91%	0	1342	2576	52.10%	1234	2470	49.96%	565	1047	53.96%	1693	1167	1685	537	896	447