Stanley Cup Winners Hockey League

ARIZONA Coyotes
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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	Nicolas Aube-Kubel	0			X		100.00	73	46	85	66	70	78	73	65	52	62	64	63	66	67	65	71	99	68	0	24	3	750,000$
2	Michael Amadio	0	X				100.00	54	39	86	66	78	71	80	64	78	65	63	62	66	67	64	61	99	67	0	24	3	750,000$
3	Glenn Gawdin	0	X				100.00	62	51	85	59	76	86	88	58	74	62	58	60	59	65	63	59	99	67	0	23	3	750,000$
4	Nolan Stevens	0	X				100.00	62	45	88	61	80	85	83	60	67	59	56	62	61	67	64	57	99	67	0	24	3	750,000$
5	Lucas Elvenes (R)	0	X				100.00	56	43	87	66	72	86	87	64	71	65	56	57	64	61	63	72	99	67	0	21	3	750,000$
6	Beck Malenstyn (R)	0			X		100.00	64	48	88	59	83	81	79	56	52	57	58	61	56	63	62	56	99	66	0	22	3	750,000$
7	Filip Chlapik	0	X				100.00	67	46	86	63	79	74	75	61	68	60	59	62	63	65	64	72	99	66	0	23	2	800,000$
8	Kieffer Bellows (R)	0		X			100.00	63	50	84	61	76	83	80	59	52	57	60	58	61	63	65	83	99	66	0	22	3	750,000$
9	Adam Brooks	0	X				100.00	57	41	89	62	67	76	75	61	57	60	60	58	63	67	64	61	99	65	0	24	3	750,000$
10	German Rubtsov	0	X				100.00	63	42	87	62	76	73	78	63	70	59	59	61	65	63	61	82	99	65	0	22	3	900,000$
11	Ville Meskanen (R)	0			X		100.00	65	45	85	59	75	80	81	58	55	57	53	56	58	69	65	59	99	65	0	24	3	750,000$
12	Mitch Hults	10	X				100.00	68	42	85	57	82	73	72	59	65	58	52	56	57	71	66	59	99	64	0	24	1	850,000$
13	Ryan Kuffner	0		X			100.00	62	39	86	59	75	73	71	56	52	57	58	60	59	67	64	62	99	64	0	24	3	925,000$
14	Sheldon Rempal	0			X		100.00	55	43	89	61	63	76	74	59	55	60	58	57	59	69	65	56	99	64	0	25	3	750,000$
15	Graham Knott	75	X				100.00	67	46	88	56	83	76	78	54	51	53	52	57	56	65	63	70	99	63	0	23	3	750,000$
16	Martin Pospisil (R)	0		X			100.00	62	54	71	58	75	77	74	57	52	56	54	59	58	61	63	62	99	63	0	20	3	750,000$
17	Deven Sideroff	0			X		100.00	53	39	87	58	67	77	76	56	52	55	53	57	54	65	63	64	99	62	0	23	3	750,000$
18	Ivan Chekhovich (R)	0		X			100.00	52	38	88	58	60	79	78	57	51	56	54	55	53	61	62	64	99	61	0	21	3	750,000$
19	Fredrik Claesson	44				X	100.00	65	43	85	60	77	82	78	58	30	59	57	62	51	75	68	53	99	67	0	27	1	750,000$
20	Alex Alexeyev (R)	0				X	100.00	73	47	89	58	88	86	87	56	30	57	53	59	46	61	62	78	99	67	0	20	3	750,000$
21	Jacob Larsson	0				X	100.00	64	42	86	63	78	71	72	61	30	62	58	64	51	65	62	80	99	66	0	23	3	1,500,000$
22	Andreas Borgman	0				X	100.00	62	51	83	59	74	83	84	58	30	57	53	55	46	69	65	60	99	65	0	25	2	750,000$
23	Dmitri Samorukov (R)	0				X	100.00	64	47	87	58	81	82	79	56	30	54	52	59	47	61	62	66	99	64	0	21	3	750,000$
24	Jalen Chatfield	0				X	100.00	60	42	88	56	75	80	79	54	30	53	50	55	46	67	64	61	99	62	0	24	3	750,000$
Rayé
1	Josh Teves	0				X	100.00	52	44	84	54	68	74	73	52	30	51	50	53	45	69	65	58	99	60	0	25	2	750,000$

	MOYENNE D'ÉQUIPE					100.00	62	45	86	60	75	78	78	58	51	58	56	59	56	66	64	65	99	65

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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	Mikhail Berdin (R)	100.00	75	82	80	73	74	73	75	74	73	75	74	63	67	64	99	67	0
2	Felix Sandstrom (R)	100.00	75	52	50	79	74	73	75	74	73	75	74	65	69	66	99	65	0
3	Kevin Lankinen	100.00	68	72	70	77	67	66	68	67	66	68	67	69	73	58	99	63	0
Rayé
1	Evan Cormier (R)	100.00	63	62	60	83	62	61	63	62	61	63	62	65	69	61	99	58	0

	MOYENNE D'ÉQUIPE	100.00	70	67	65	78	69	68	70	69	68	70	69	66	70	62	99	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Sylvain Lefebvre	67	67	67	67	75	75	64	CAN	54	1	300,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	S1	S2	S3
1	Nicolas Aube-Kubel	TUSCON Roadrunners (ARZ)	RW	47	32	32	64	33	34	103	68	238	70	175	13.45%	9	941	20.04	3	4	7	28	95	1	0	1	4	121	4	2	55.77%	260	0	0	0	2	1.36	1	2	9	4	2
2	Michael Amadio	TUSCON Roadrunners (ARZ)	C	54	19	35	54	33	4	17	94	191	56	133	9.95%	11	934	17.30	1	7	8	22	94	1	1	2	9	133	3	0	64.64%	987	0	0	0	0	1.16	0	3	1	3	3
3	Fredrik Claesson	TUSCON Roadrunners (ARZ)	D	60	19	25	44	24	44	70	44	108	28	80	17.59%	77	1383	23.05	6	2	8	34	111	0	1	1	0	142	4	1	0.00%	0	2	2	1	1	0.64	0	0	1	4	3
4	Alex Alexeyev	TUSCON Roadrunners (ARZ)	D	65	11	33	44	12	72	131	55	104	31	74	10.58%	103	1556	23.95	1	5	6	33	131	1	0	1	2	143	1	0	0.00%	0	1	1	1	0	0.57	0	0	2	0	3
5	Kieffer Bellows	TUSCON Roadrunners (ARZ)	LW	57	13	31	44	38	14	51	39	155	61	122	8.39%	7	952	16.71	3	2	5	19	110	0	0	0	0	21	3	2	49.09%	55	0	0	0	0	0.92	0	1	1	2	3
6	Lucas Elvenes	TUSCON Roadrunners (ARZ)	C	65	12	28	40	17	16	37	85	136	49	124	8.82%	8	825	12.70	0	4	4	10	80	1	1	2	2	82	2	1	61.36%	779	0	0	0	1	0.97	1	1	1	2	1
7	Beck Malenstyn	TUSCON Roadrunners (ARZ)	RW	65	17	22	39	19	20	90	52	195	62	154	8.72%	16	982	15.12	3	1	4	24	111	0	0	0	0	0	2	1	56.25%	64	1	0	0	0	0.79	0	0	2	4	3
8	Jacob Larsson	TUSCON Roadrunners (ARZ)	D	57	10	28	38	47	28	73	44	96	27	66	10.42%	58	1127	19.78	1	2	3	39	105	0	1	1	3	135	2	1	0.00%	0	0	0	0	0	0.67	0	0	4	4	0
9	Nolan Stevens	TUSCON Roadrunners (ARZ)	C	57	10	27	37	27	10	36	73	139	31	114	7.19%	15	784	13.77	0	0	0	0	0	1	2	3	5	100	1	1	58.45%	734	0	0	0	0	0.94	0	1	1	1	1
10	Ryan Kuffner	TUSCON Roadrunners (ARZ)	LW	57	13	20	33	23	22	54	40	133	42	100	9.77%	2	833	14.62	1	6	7	17	89	0	0	0	0	0	3	0	53.57%	56	0	0	0	1	0.79	0	0	2	0	2
11	Sheldon Rempal	TUSCON Roadrunners (ARZ)	RW	57	15	12	27	21	6	19	29	90	33	91	16.67%	10	552	9.69	0	0	0	0	0	0	0	0	0	0	3	0	65.38%	26	0	0	0	0	0.98	0	0	2	1	0
12	Glenn Gawdin	TUSCON Roadrunners (ARZ)	C	57	9	16	25	15	14	46	53	123	32	74	7.32%	8	576	10.12	0	0	0	0	0	0	0	0	0	4	1	0	60.68%	585	0	0	0	1	0.87	0	1	1	0	2
13	Martin Pospisil	TUSCON Roadrunners (ARZ)	LW	57	15	10	25	26	22	56	38	122	27	67	12.30%	1	664	11.66	0	0	0	0	0	0	0	0	0	0	2	0	65.12%	43	0	0	0	0	0.75	0	0	0	1	4
14	Andreas Borgman	TUSCON Roadrunners (ARZ)	D	65	6	18	24	36	40	90	35	60	17	49	10.00%	52	1260	19.39	2	2	4	27	117	0	1	1	0	139	0	0	0.00%	0	0	0	0	0	0.38	0	0	1	2	1
15	Ville Meskanen	TUSCON Roadrunners (ARZ)	RW	57	10	12	22	21	18	34	25	101	32	76	9.90%	2	679	11.92	0	0	0	0	1	0	0	0	0	0	1	0	62.50%	32	0	0	0	0	0.65	0	0	0	2	0
16	Dmitri Samorukov	TUSCON Roadrunners (ARZ)	D	57	4	18	22	33	24	83	33	52	20	29	7.69%	47	908	15.95	0	0	0	1	5	0	0	0	0	22	1	0	0.00%	0	0	0	0	0	0.48	0	0	0	1	1
17	Alan Quine	ARIZONA Coyotes	C/LW	9	6	13	19	17	2	12	24	54	14	42	11.11%	2	214	23.84	0	1	1	8	15	0	0	0	0	24	0	0	65.70%	207	0	0	0	0	1.77	0	0	2	0	1
18	Jalen Chatfield	TUSCON Roadrunners (ARZ)	D	55	3	13	16	34	16	60	20	28	14	16	10.71%	46	897	16.31	0	0	0	1	1	0	0	0	0	48	0	0	0.00%	0	0	0	0	0	0.36	0	0	0	1	1
19	Ivan Chekhovich	TUSCON Roadrunners (ARZ)	LW	40	2	14	16	12	2	17	9	54	22	42	3.70%	1	410	10.27	0	0	0	0	0	0	0	0	0	0	1	0	57.69%	26	0	0	0	0	0.78	0	0	1	1	1
20	Matthew Highmore	ARIZONA Coyotes	C	14	5	10	15	4	10	17	33	64	21	51	7.81%	5	286	20.46	2	2	4	21	32	0	0	0	0	34	0	0	64.07%	334	0	0	0	0	1.05	0	1	3	1	1
21	Filip Chlapik	TUSCON Roadrunners (ARZ)	C	65	3	6	9	-5	4	12	9	35	7	22	8.57%	9	146	2.25	0	0	0	1	6	0	0	0	0	6	0	0	60.87%	23	0	1	0	0	1.23	0	0	0	0	0
22	Adam Brooks	TUSCON Roadrunners (ARZ)	C	40	0	0	0	0	0	1	0	0	0	0	0.00%	0	2	0.07	0	0	0	0	2	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0
23	German Rubtsov	TUSCON Roadrunners (ARZ)	C	40	0	0	0	0	0	1	4	1	0	2	0.00%	1	35	0.88	0	0	0	0	0	0	0	0	1	33	0	0	74.36%	39	0	0	0	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1197	234	423	657	487	422	1110	906	2279	696	1703	10.27%	490	16957	14.17	23	38	61	285	1111	5	7	12	26	1199	34	9	61.44%	4250	4	4	2	6	0.77	2	10	34	34	33

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	Mikhail Berdin	TUSCON Roadrunners (ARZ)	57	36	16	5	0.917	2.09	3444	2	6	120	1451	0	1	1	0.923	13	57	0	4	3	1
Stats d'équipe Total ou en Moyenne			57	36	16	5	0.917	2.09	3444	2	6	120	1451	0	1	1	0.923	13	57	0	4	3	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 Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Adam Brooks	TUSCON Roadrunners (ARZ)	C	24	5/6/1996	No	84 Kg	178 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	Lien
Alex Alexeyev	TUSCON Roadrunners (ARZ)	D	20	11/15/1999	Yes	95 Kg	193 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Andreas Borgman	TUSCON Roadrunners (ARZ)	D	25	6/18/1995	No	90 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$		Lien
Beck Malenstyn	TUSCON Roadrunners (ARZ)	RW	22	2/4/1998	Yes	91 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Deven Sideroff	TUSCON Roadrunners (ARZ)	RW	23	4/14/1997	No	78 Kg	180 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	Lien
Dmitri Samorukov	TUSCON Roadrunners (ARZ)	D	21	6/16/1999	Yes	85 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Evan Cormier	TUSCON Roadrunners (ARZ)	G	22	11/6/1997	Yes	91 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Felix Sandstrom	TUSCON Roadrunners (ARZ)	G	23	1/12/1997	Yes	87 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Filip Chlapik	TUSCON Roadrunners (ARZ)	C	23	6/3/1997	No	88 Kg	188 CM	No	No	No	2	Pro & Farm	800,000$	169,492$	800,000$	169,492$	0$	0$	No	800,000$		Lien
Fredrik Claesson	TUSCON Roadrunners (ARZ)	D	27	11/24/1992	No	89 Kg	185 CM	No	No	No	1	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No			Lien
German Rubtsov	TUSCON Roadrunners (ARZ)	C	22	6/27/1998	No	81 Kg	188 CM	No	No	No	3	Pro & Farm	900,000$	190,678$	750,000$	158,898$	0$	0$	No	900,000$	900,000$	Lien
Glenn Gawdin	TUSCON Roadrunners (ARZ)	C	23	3/25/1997	No	87 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	Lien
Graham Knott	TUSCON Roadrunners (ARZ)	C	23	1/13/1997	No	90 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	Lien
Ivan Chekhovich	TUSCON Roadrunners (ARZ)	LW	21	1/4/1999	Yes	84 Kg	155 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Jacob Larsson	TUSCON Roadrunners (ARZ)	D	23	4/29/1997	No	86 Kg	188 CM	No	No	No	3	Pro & Farm	1,500,000$	317,797$	750,000$	158,898$	0$	0$	No	1,500,000$	1,500,000$	Lien
Jalen Chatfield	TUSCON Roadrunners (ARZ)	D	24	5/16/1996	No	85 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	Lien
Josh Teves	TUSCON Roadrunners (ARZ)	D	25	2/18/1995	No	77 Kg	183 CM	No	No	No	2	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$		Lien
Kevin Lankinen	TUSCON Roadrunners (ARZ)	G	25	4/28/1995	No	84 Kg	188 CM	No	No	No	2	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$		Lien
Kieffer Bellows	TUSCON Roadrunners (ARZ)	LW	22	6/10/1998	Yes	89 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Lucas Elvenes	TUSCON Roadrunners (ARZ)	C	21	8/18/1999	Yes	79 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Martin Pospisil	TUSCON Roadrunners (ARZ)	LW	20	11/19/1999	Yes	79 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Michael Amadio	TUSCON Roadrunners (ARZ)	C	24	5/13/1996	No	93 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	Lien
Mikhail Berdin	TUSCON Roadrunners (ARZ)	G	22	3/1/1998	Yes	74 Kg	188 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Mitch Hults	TUSCON Roadrunners (ARZ)	C	24	11/13/1995	No	95 Kg	188 CM	No	No	No	1	Pro & Farm	850,000$	180,085$	850,000$	180,085$	0$	0$	No			Lien
Nicolas Aube-Kubel	TUSCON Roadrunners (ARZ)	RW	24	5/10/1996	No	85 Kg	180 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$
Nolan Stevens	TUSCON Roadrunners (ARZ)	C	24	7/22/1996	No	83 Kg	191 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	Lien
Ryan Kuffner	TUSCON Roadrunners (ARZ)	LW	24	6/12/1996	No	85 Kg	185 CM	No	No	No	3	Pro & Farm	925,000$	195,975$	750,000$	158,898$	0$	0$	No	925,000$	925,000$	Lien
Sheldon Rempal	TUSCON Roadrunners (ARZ)	RW	25	8/7/1995	No	75 Kg	178 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$	Lien
Ville Meskanen	TUSCON Roadrunners (ARZ)	RW	24	10/2/1995	Yes	85 Kg	185 CM	No	No	No	3	Pro & Farm	750,000$	158,898$	750,000$	158,898$	0$	0$	No	750,000$	750,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
29	23.10	85 Kg	185 CM	2.72	792,241$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kieffer Bellows	Michael Amadio	Nicolas Aube-Kubel	31	1	2	2
2	Ryan Kuffner	Lucas Elvenes	Beck Malenstyn	26	1	2	2
3	Martin Pospisil	Nolan Stevens	Ville Meskanen	23	1	2	2
4	Ivan Chekhovich	Glenn Gawdin	Sheldon Rempal	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Fredrik Claesson	Alex Alexeyev	31	1	2	2
2	Jacob Larsson	Andreas Borgman	26	1	2	2
3	Dmitri Samorukov	Jalen Chatfield	23	1	2	2
4	Fredrik Claesson	Alex Alexeyev	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Kieffer Bellows	Michael Amadio	Nicolas Aube-Kubel	55	1	2	2
2	Ryan Kuffner	Lucas Elvenes	Beck Malenstyn	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Fredrik Claesson	Alex Alexeyev	55	1	2	2
2	Jacob Larsson	Andreas Borgman	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nicolas Aube-Kubel	Michael Amadio	55	1	2	2
2	Lucas Elvenes	Nolan Stevens	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Fredrik Claesson	Alex Alexeyev	55	1	2	2
2	Jacob Larsson	Andreas Borgman	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nicolas Aube-Kubel	55	1	2	2	Fredrik Claesson	Alex Alexeyev	55	1	2	2
2	Michael Amadio	45	1	2	2	Jacob Larsson	Andreas Borgman	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nicolas Aube-Kubel	Michael Amadio	55	1	2	2
2	Lucas Elvenes	Nolan Stevens	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Fredrik Claesson	Alex Alexeyev	55	1	2	2
2	Jacob Larsson	Andreas Borgman	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kieffer Bellows	Michael Amadio	Nicolas Aube-Kubel	Fredrik Claesson	Alex Alexeyev

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Kieffer Bellows	Michael Amadio	Nicolas Aube-Kubel	Fredrik Claesson	Alex Alexeyev

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Filip Chlapik, Adam Brooks, German Rubtsov	Filip Chlapik, Adam Brooks	German Rubtsov

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dmitri Samorukov, Jalen Chatfield, Jacob Larsson	Dmitri Samorukov	Jalen Chatfield, Jacob Larsson

Tirs de Pénalité
Nicolas Aube-Kubel, Michael Amadio, Lucas Elvenes, Nolan Stevens, Glenn Gawdin

Gardien
#1 : Mikhail Berdin, #2 : Felix Sandstrom, #3 : Kevin Lankinen

Lignes d'Attaque Perso. en Prol.
Nicolas Aube-Kubel, Michael Amadio, Lucas Elvenes, Nolan Stevens, Glenn Gawdin, Beck Malenstyn, Beck Malenstyn, Kieffer Bellows, Filip Chlapik, Adam Brooks, German Rubtsov

Lignes de Défense Perso. en Prol.
Fredrik Claesson, Alex Alexeyev, Jacob Larsson, Andreas Borgman, Dmitri Samorukov

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	BAKERSFIELD Condors	1	1	0	0	0	0	0	0	10	1	9	1	1	0	0	0	0	0	0	10	1	9	0	0	0	0	0	0	0	0	0	0	0	2	1.000	10	17	27	0	0	105	74	56	2	77	731	783	795	43	8	1	6	17	1	0	0.00%	3	0	100.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
2	BELLEVILLE Senators	2	2	0	0	0	0	0	0	14	2	12	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	14	2	12	4	1.000	14	26	40	0	0	105	74	56	2	85	731	783	795	43	33	18	10	36	5	1	20.00%	5	0	100.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
3	BINGHAMTON Devils	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	105	74	56	2	38	731	783	795	43	29	7	2	16	4	0	0.00%	1	0	100.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
4	BRIDGEPORT Sound Tigers	3	0	3	0	0	0	0	0	9	17	-8	2	0	2	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	9	18	27	0	0	105	74	56	2	64	731	783	795	43	137	34	12	46	7	1	14.29%	6	3	50.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
5	BROOKLYN Wolfpack	5	4	1	0	0	0	0	0	20	14	6	2	2	0	0	0	0	0	0	10	2	8	3	2	1	0	0	0	0	0	10	12	-2	8	0.800	20	34	54	0	0	105	74	56	2	170	731	783	795	43	164	51	48	67	9	3	33.33%	21	2	90.48%	1	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
6	CAROLINA Checkers	2	2	0	0	0	0	0	0	19	3	16	1	1	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	8	0	8	4	1.000	19	37	56	0	1	105	74	56	2	122	731	783	795	43	27	12	14	40	2	0	0.00%	7	1	85.71%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
7	CHICAGO Wolves	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	105	74	56	2	21	731	783	795	43	30	11	8	23	3	0	0.00%	4	1	75.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
8	COLORADO Eagles	3	2	1	0	0	0	0	0	9	8	1	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	2	2	4	0.667	9	15	24	0	0	105	74	56	2	82	731	783	795	43	82	25	18	39	14	3	21.43%	9	2	77.78%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
9	GRAND RAPIDS Griffins	5	2	2	0	0	1	0	0	7	21	-14	2	1	1	0	0	0	0	0	2	5	-3	3	1	1	0	0	1	0	0	5	16	-11	5	0.500	7	14	21	0	1	105	74	56	2	163	731	783	795	43	177	50	22	79	12	1	8.33%	10	2	80.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
10	HERSEY Bears	5	1	3	0	0	0	0	1	12	29	-17	2	1	1	0	0	0	0	0	6	9	-3	3	0	2	0	0	0	0	1	6	20	-14	3	0.300	12	22	34	0	0	105	74	56	2	177	731	783	795	43	198	67	34	94	12	1	8.33%	15	4	73.33%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
11	IOWA Wild	2	1	0	0	0	1	0	0	5	5	0	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	3	0.750	5	8	13	0	0	105	74	56	2	82	731	783	795	43	47	16	10	37	1	0	0.00%	4	1	75.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
12	LAVAL Rocket	3	0	1	0	0	2	0	0	3	7	-4	1	0	0	0	0	1	0	0	1	2	-1	2	0	1	0	0	1	0	0	2	5	-3	2	0.333	3	5	8	1	0	105	74	56	2	47	731	783	795	43	104	27	28	63	2	0	0.00%	13	2	84.62%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
13	LEHIGH VALLEY Phantoms	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	6	10	0	0	105	74	56	2	41	731	783	795	43	26	4	8	18	7	0	0.00%	3	0	100.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
14	MANITOBA Moose	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	5	0	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	1	105	74	56	2	45	731	783	795	43	24	5	8	20	5	1	20.00%	4	0	100.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
15	MILWAUKEE Admirals	3	0	2	0	0	0	1	0	5	9	-4	1	0	0	0	0	0	1	0	3	2	1	2	0	2	0	0	0	0	0	2	7	-5	2	0.333	5	8	13	0	0	105	74	56	2	93	731	783	795	43	93	28	22	44	6	0	0.00%	10	0	100.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
16	ONTARIO Reign	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	105	74	56	2	35	731	783	795	43	36	13	12	26	0	0	0.00%	5	2	60.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
17	PROVIDENCE Bruins	4	2	2	0	0	0	0	0	12	17	-5	2	1	1	0	0	0	0	0	7	5	2	2	1	1	0	0	0	0	0	5	12	-7	4	0.500	12	23	35	0	0	105	74	56	2	118	731	783	795	43	133	28	28	51	11	4	36.36%	14	5	64.29%	1	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
18	ROCKFORD IceHogs	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	1	5	2	1.000	6	11	17	0	0	105	74	56	2	58	731	783	795	43	28	5	4	20	0	0	0.00%	1	0	100.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
19	SAN ANTONIO Rampage	3	3	0	0	0	0	0	0	15	3	12	1	1	0	0	0	0	0	0	4	2	2	2	2	0	0	0	0	0	0	11	1	10	6	1.000	15	28	43	0	1	105	74	56	2	96	731	783	795	43	71	21	10	53	5	2	40.00%	5	0	100.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
20	SAN DIEGO Gulls	3	3	0	0	0	0	0	0	32	1	31	2	2	0	0	0	0	0	0	21	1	20	1	1	0	0	0	0	0	0	11	0	11	6	1.000	32	62	94	0	2	105	74	56	2	226	731	783	795	43	23	5	12	61	1	0	0.00%	5	0	100.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
21	SCRANTON Penguins	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	105	74	56	2	23	731	783	795	43	34	6	8	21	3	0	0.00%	4	1	75.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
22	STOCKTON Flames	2	1	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	1	3	2	0.500	6	12	18	0	0	105	74	56	2	53	731	783	795	43	58	7	20	32	8	3	37.50%	10	2	80.00%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
23	SYRACUSE Crunch	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	13	21	0	0	105	74	56	2	50	731	783	795	43	66	16	22	38	5	1	20.00%	9	2	77.78%	1	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
24	TORONTO Marlies	5	2	2	0	0	0	1	0	20	20	0	3	0	2	0	0	0	1	0	10	17	-7	2	2	0	0	0	0	0	0	10	3	7	6	0.600	20	31	51	0	0	105	74	56	2	260	731	783	795	43	152	35	26	86	9	1	11.11%	13	3	76.92%	0	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
25	UTICA Comets	5	2	3	0	0	0	0	0	11	23	-12	3	2	1	0	0	0	0	0	9	16	-7	2	0	2	0	0	0	0	0	2	7	-5	4	0.400	11	19	30	0	0	105	74	56	2	114	731	783	795	43	185	56	34	105	14	1	7.14%	15	2	86.67%	2	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
	Total	65	34	24	0	0	4	2	1	237	201	36	31	15	12	0	0	2	2	0	120	97	23	34	19	12	0	0	2	0	1	117	104	13	77	0.592	237	428	665	1	6	105	74	56	2	2340	731	783	795	43	1965	548	426	1132	146	23	15.75%	196	35	82.14%	5	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
	_Since Last GM Reset	65	34	24	0	0	4	2	1	237	201	36	31	15	12	0	0	2	2	0	120	97	23	34	19	12	0	0	2	0	1	117	104	13	77	0.592	237	428	665	1	6	105	74	56	2	2340	731	783	795	43	1965	548	426	1132	146	23	15.75%	196	35	82.14%	5	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
	_Vs Conference	43	20	18	0	0	2	2	1	154	149	5	21	10	8	0	0	1	2	0	83	74	9	22	10	10	0	0	1	0	1	71	75	-4	47	0.547	154	276	430	1	3	105	74	56	2	1505	731	783	795	43	1370	382	276	729	90	16	17.78%	127	23	81.89%	4	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
	_Vs Division	12	11	11	0	0	0	1	1	59	32	27	8	6	5	0	0	0	1	0	42	24	18	4	5	6	0	0	0	0	1	17	8	9	25	1.042	59	110	169	0	2	105	74	56	2	505	731	783	795	43	310	82	84	241	24	4	16.67%	38	6	84.21%	2	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389

			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
65	77	W5	237	428	665	2340	1965	548	426	1132	1	6

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
65	34	24	0	4	2	1	237	201

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	15	12	0	2	2	0	120	97

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	19	12	0	2	0	1	117	104

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
9	1	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
146	23	15.75%	196	35	82.14%	5

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
731	783	795	43	105	74	56	2

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
1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%

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
1703	1265	1458	413	765	389

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	RI	Lien
1 - 2021-01-17	7	TUSCON Roadrunners	2	PROVIDENCE Bruins	11	L				Sommaire du Match
2 - 2021-01-18	17	TUSCON Roadrunners	0	BROOKLYN Wolfpack	10	L				Sommaire du Match
3 - 2021-01-19	26	HERSEY Bears	7	TUSCON Roadrunners	2	L				Sommaire du Match
4 - 2021-01-20	33	TUSCON Roadrunners	1	HERSEY Bears	11	L				Sommaire du Match
5 - 2021-01-21	44	TUSCON Roadrunners	1	GRAND RAPIDS Griffins	13	L				Sommaire du Match
6 - 2021-01-22	52	TORONTO Marlies	9	TUSCON Roadrunners	3	L				Sommaire du Match
8 - 2021-01-24	73	UTICA Comets	11	TUSCON Roadrunners	1	L				Sommaire du Match
11 - 2021-01-27	96	BRIDGEPORT Sound Tigers	7	TUSCON Roadrunners	3	L				Sommaire du Match
13 - 2021-01-29	112	SAN DIEGO Gulls	1	TUSCON Roadrunners	12	W				Sommaire du Match
14 - 2021-01-30	118	TUSCON Roadrunners	5	SAN ANTONIO Rampage	0	W				Sommaire du Match
16 - 2021-02-01	136	TUSCON Roadrunners	3	GRAND RAPIDS Griffins	1	W				Sommaire du Match
17 - 2021-02-02	144	BROOKLYN Wolfpack	1	TUSCON Roadrunners	5	W				Sommaire du Match
18 - 2021-02-03	158	TUSCON Roadrunners	8	BELLEVILLE Senators	1	W				Sommaire du Match
19 - 2021-02-04	168	TUSCON Roadrunners	5	TORONTO Marlies	2	W				Sommaire du Match
20 - 2021-02-05	180	HERSEY Bears	2	TUSCON Roadrunners	4	W				Sommaire du Match
22 - 2021-02-07	196	GRAND RAPIDS Griffins	5	TUSCON Roadrunners	0	L				Sommaire du Match
24 - 2021-02-09	213	SYRACUSE Crunch	2	TUSCON Roadrunners	4	W				Sommaire du Match
26 - 2021-02-11	225	TUSCON Roadrunners	2	BRIDGEPORT Sound Tigers	5	L				Sommaire du Match
27 - 2021-02-12	234	TUSCON Roadrunners	4	HERSEY Bears	5	L	X	X		Sommaire du Match
28 - 2021-02-13	248	STOCKTON Flames	3	TUSCON Roadrunners	2	L				Sommaire du Match
30 - 2021-02-15	263	TUSCON Roadrunners	4	LEHIGH VALLEY Phantoms	1	W			R3	Sommaire du Match
31 - 2021-02-16	271	TUSCON Roadrunners	1	UTICA Comets	3	L				Sommaire du Match
32 - 2021-02-17	283	ONTARIO Reign	3	TUSCON Roadrunners	0	L				Sommaire du Match
34 - 2021-02-19	302	BRIDGEPORT Sound Tigers	5	TUSCON Roadrunners	4	L				Sommaire du Match
35 - 2021-02-20	316	TUSCON Roadrunners	0	LAVAL Rocket	2	L				Sommaire du Match
36 - 2021-02-21	324	TUSCON Roadrunners	5	TORONTO Marlies	1	W				Sommaire du Match
38 - 2021-02-23	337	CAROLINA Checkers	3	TUSCON Roadrunners	11	W				Sommaire du Match
40 - 2021-02-25	353	MILWAUKEE Admirals	2	TUSCON Roadrunners	3	W	X	X		Sommaire du Match
41 - 2021-02-26	364	TUSCON Roadrunners	1	GRAND RAPIDS Griffins	2	L	X			Sommaire du Match
42 - 2021-02-27	376	TORONTO Marlies	5	TUSCON Roadrunners	3	L				Sommaire du Match
44 - 2021-03-01	390	TUSCON Roadrunners	1	MILWAUKEE Admirals	5	L				Sommaire du Match
46 - 2021-03-03	404	SAN ANTONIO Rampage	2	TUSCON Roadrunners	4	W				Sommaire du Match
47 - 2021-03-04	421	PROVIDENCE Bruins	4	TUSCON Roadrunners	2	L				Sommaire du Match
48 - 2021-03-05	428	TUSCON Roadrunners	4	STOCKTON Flames	1	W				Sommaire du Match
50 - 2021-03-07	442	TUSCON Roadrunners	2	LAVAL Rocket	3	L	X			Sommaire du Match
51 - 2021-03-08	456	BROOKLYN Wolfpack	1	TUSCON Roadrunners	5	W				Sommaire du Match
53 - 2021-03-10	471	TUSCON Roadrunners	1	MILWAUKEE Admirals	2	L				Sommaire du Match
54 - 2021-03-11	482	TUSCON Roadrunners	3	IOWA Wild	2	W				Sommaire du Match
55 - 2021-03-12	493	IOWA Wild	3	TUSCON Roadrunners	2	L	X			Sommaire du Match
56 - 2021-03-13	510	TUSCON Roadrunners	3	BROOKLYN Wolfpack	1	W				Sommaire du Match
57 - 2021-03-14	517	BAKERSFIELD Condors	1	TUSCON Roadrunners	10	W				Sommaire du Match
59 - 2021-03-16	530	TUSCON Roadrunners	1	SCRANTON Penguins	3	L				Sommaire du Match
60 - 2021-03-17	543	PROVIDENCE Bruins	1	TUSCON Roadrunners	5	W				Sommaire du Match
62 - 2021-03-19	559	COLORADO Eagles	1	TUSCON Roadrunners	2	W				Sommaire du Match
64 - 2021-03-21	576	TUSCON Roadrunners	6	SAN ANTONIO Rampage	1	W				Sommaire du Match
65 - 2021-03-22	584	TUSCON Roadrunners	6	ROCKFORD IceHogs	1	W				Sommaire du Match
66 - 2021-03-23	596	CHICAGO Wolves	3	TUSCON Roadrunners	1	L				Sommaire du Match
68 - 2021-03-25	613	COLORADO Eagles	5	TUSCON Roadrunners	3	L				Sommaire du Match
69 - 2021-03-26	619	TUSCON Roadrunners	1	UTICA Comets	4	L				Sommaire du Match
70 - 2021-03-27	638	TUSCON Roadrunners	4	SYRACUSE Crunch	2	W				Sommaire du Match
72 - 2021-03-29	648	MANITOBA Moose	0	TUSCON Roadrunners	5	W			R3	Sommaire du Match
73 - 2021-03-30	663	LAVAL Rocket	2	TUSCON Roadrunners	1	L	X			Sommaire du Match
76 - 2021-04-02	682	UTICA Comets	2	TUSCON Roadrunners	3	W				Sommaire du Match
77 - 2021-04-03	690	TUSCON Roadrunners	4	COLORADO Eagles	2	W				Sommaire du Match
78 - 2021-04-04	702	TUSCON Roadrunners	3	BINGHAMTON Devils	2	W				Sommaire du Match
80 - 2021-04-06	717	TUSCON Roadrunners	8	CAROLINA Checkers	0	W				Sommaire du Match
81 - 2021-04-07	724	UTICA Comets	3	TUSCON Roadrunners	5	W				Sommaire du Match
82 - 2021-04-08	736	TUSCON Roadrunners	6	BELLEVILLE Senators	1	W				Sommaire du Match
84 - 2021-04-10	751	GRAND RAPIDS Griffins	0	TUSCON Roadrunners	2	W				Sommaire du Match
85 - 2021-04-11	763	TUSCON Roadrunners	1	HERSEY Bears	4	L				Sommaire du Match
87 - 2021-04-13	777	SAN DIEGO Gulls	0	TUSCON Roadrunners	9	W				Sommaire du Match
88 - 2021-04-14	795	TUSCON Roadrunners	7	BROOKLYN Wolfpack	1	W				Sommaire du Match
89 - 2021-04-15	804	TORONTO Marlies	3	TUSCON Roadrunners	4	W	X	X		Sommaire du Match
91 - 2021-04-17	814	TUSCON Roadrunners	11	SAN DIEGO Gulls	0	W				Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19	827	TUSCON Roadrunners	3	PROVIDENCE Bruins	1	W				Sommaire du Match
94 - 2021-04-20	835	LAVAL Rocket	-	TUSCON Roadrunners	-
96 - 2021-04-22	856	HERSEY Bears	-	TUSCON Roadrunners	-
97 - 2021-04-23	867	TUSCON Roadrunners	-	BAKERSFIELD Condors	-
98 - 2021-04-24	881	BELLEVILLE Senators	-	TUSCON Roadrunners	-
101 - 2021-04-27	902	BINGHAMTON Devils	-	TUSCON Roadrunners	-
102 - 2021-04-28	916	SCRANTON Penguins	-	TUSCON Roadrunners	-
104 - 2021-04-30	935	TUSCON Roadrunners	-	ONTARIO Reign	-
105 - 2021-05-01	943	SCRANTON Penguins	-	TUSCON Roadrunners	-
106 - 2021-05-02	953	TUSCON Roadrunners	-	MANITOBA Moose	-
109 - 2021-05-05	972	ROCKFORD IceHogs	-	TUSCON Roadrunners	-
110 - 2021-05-06	985	TUSCON Roadrunners	-	BAKERSFIELD Condors	-
112 - 2021-05-08	999	ROCKFORD IceHogs	-	TUSCON Roadrunners	-
113 - 2021-05-09	1013	TUSCON Roadrunners	-	CHICAGO Wolves	-
115 - 2021-05-11	1025	LEHIGH VALLEY Phantoms	-	TUSCON Roadrunners	-
116 - 2021-05-12	1029	TUSCON Roadrunners	-	PROVIDENCE Bruins	-

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
9	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
1,847,681$	2,297,500$	2,190,000$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	1,847,681$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	25	19,470$	486,750$

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
34	80	26	40	0	3	5	1	5	206	220	-14	40	11	20	0	2	3	1	3	114	113	1	40	15	20	0	1	2	0	2	92	107	-15	70	206	371	577	5	8	83	58	61	4	2478	836	822	804	36	2545	768	591	1414	247	32	12.96%	254	41	83.86%	2	1164	2470	47.13%	1235	2740	45.07%	543	1109	48.96%	1888	1342	1994	560	961	468
34	80	26	40	0	3	5	1	5	206	220	-14	40	11	20	0	2	3	1	3	114	113	1	40	15	20	0	1	2	0	2	92	107	-15	70	206	371	577	5	8	83	58	61	4	2478	836	822	804	36	2545	768	591	1414	247	32	12.96%	254	41	83.86%	2	1164	2470	47.13%	1235	2740	45.07%	543	1109	48.96%	1888	1342	1994	560	961	468
36	65	34	24	0	0	4	2	1	237	201	36	31	15	12	0	0	2	2	0	120	97	23	34	19	12	0	0	2	0	1	117	104	13	77	237	428	665	1	6	105	74	56	2	2340	731	783	795	43	1965	548	426	1132	146	23	15.75%	196	35	82.14%	5	1189	1975	60.20%	990	1843	53.72%	584	1035	56.43%	1703	1265	1458	413	765	389
Total Saison Régulière	225	86	104	0	6	14	4	11	649	641	8	111	37	52	0	4	8	4	6	348	323	25	114	49	52	0	2	6	0	5	301	318	-17	217	649	1170	1819	11	22	271	190	178	10	7296	2403	2427	2403	115	7055	2084	1608	3960	640	87	13.59%	704	117	83.38%	9	3517	6915	50.86%	3460	7323	47.25%	1670	3253	51.34%	5479	3949	5446	1535	2688	1327

	TUSCON Roadrunners
	GP: 65 \| W: 36 \| L: 24 \| OTL: 5 \| P: 77 GF: 237 \| GA: 201 \| PP%: 15.75% \| PK%: 82.14% DG: Olivier Terreault \| Morale : 99 \| Moyenne d'Équipe : 65 Prochain matchs #835 vs LAVAL Rocket