OTHL - Americans

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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	TA	SP	Âge	Contrat	Salaire
1	Chris Terry		X	X		100.00	73	69	83	66	69	77	80	68	50	65	65	67	62	54	54	68	50	65		0	32	2	700,000$
2	Tage Thompson		X	X		100.00	81	79	85	78	79	63	63	65	50	59	65	70	62	52	52	67	50	64		0	23	1	1,137,500$
3	Cole Schneider		X	X		100.00	79	74	90	60	74	72	74	67	50	65	63	70	60	54	54	67	50	64		0	30	2	700,000$
4	Michael Amadio	X		X		100.00	61	41	94	73	71	64	85	71	74	62	59	62	25	57	58	64	50	63		0	25	1	715,000$
5	Trevor Moore	X	X	X		100.00	79	43	95	66	61	63	75	62	34	60	66	72	25	52	53	68	50	62		0	26	3	800,000$
6	Laurent Dauphin	X	X	X		100.00	71	68	79	64	68	72	76	60	75	56	60	62	57	47	47	63	50	60		0	26	3	700,000$
7	Keegan Kolesar (R)			X		100.00	82	82	81	65	82	68	71	57	50	62	47	67	45	45	45	59	50	60		0	24	3	905,000$
8	Sean Malone	X				100.00	75	70	86	64	70	63	64	59	74	56	58	63	55	44	44	61	50	59		0	26	3	750,000$
9	Mikey Eyssimont	X	X			100.00	67	67	66	68	67	71	75	59	74	56	58	59	55	44	44	60	50	59		0	24	3	925,000$
10	Remi Elie		X			100.00	81	77	90	60	77	57	58	56	50	47	60	66	57	47	47	61	50	58		0	26	3	700,000$
11	Ross Johnston		X			100.00	94	99	38	68	92	50	49	55	25	53	59	61	25	48	48	60	50	58	X	0	27	2	1,000,000$
12	Turner Elson		X	X		100.00	71	67	79	65	67	78	84	54	50	50	54	60	51	44	44	59	50	58	X	0	28	4	650,000$
13	Ilya Lyubushkin				X	100.00	95	47	89	70	76	64	64	62	25	47	47	67	25	55	55	59	50	64		0	27	2	985,000$
14	Andy Welinski				X	100.00	80	75	91	68	75	62	64	58	25	46	52	69	49	57	58	61	50	63		0	28	1	1,775,000$
15	Taylor Fedun				X	100.00	67	42	90	71	72	62	66	61	25	60	49	64	25	58	59	61	50	62		0	32	3	700,000$
16	Alexander Yelesin (R)				X	100.00	98	47	99	68	69	59	66	58	25	39	47	57	25	44	44	57	50	59		0	25	1	1,350,000$
17	Tyler Lewington				X	100.00	67	73	53	62	73	69	75	49	25	40	42	57	40	44	44	51	50	56		0	26	1	665,000$
Rayé
1	Andrew Poturalski	X				100.00	74	69	86	59	69	61	63	56	70	56	50	65	48	55	55	58	50	58		0	27	3	650,000$
2	Ryan Fitzgerald	X	X			100.00	70	61	90	65	61	73	77	57	71	51	58	60	55	44	44	61	50	58		0	26	3	700,000$
3	Joona Luoto (R)		X	X		100.00	67	42	95	73	70	46	64	52	25	50	55	72	25	45	45	60	50	57		0	23	2	758,333$
4	Dalton Smith		X			100.00	71	76	60	64	76	59	63	47	50	45	44	58	42	44	44	51	50	53		0	28	3	700,000$

	MOYENNE D'ÉQUIPE					100.00	76	65	82	67	72	64	69	59	47	54	55	64	43	49	49	61	50	60

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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	TA	SP
1	Jon Gillies	100.00	58	67	84	91	57	61	54	62	57	56	30	45	45	59	50	61		0
2	Ken Appleby	100.00	48	52	65	84	46	52	50	54	52	52	30	44	44	51	50	54	X	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	53	60	75	88	52	57	52	58	55	54	30	45	45	55	50	58

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Scott Arniel	59	57	70	53	49	44	55	CAN	54	3	900,000$

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Astuces sur les Filtres (Anglais seulement)

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

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#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Chris Terry	Americans (BUF)	LW/RW	78	57	63	120	80	56	10	124	149	327	108	258	17.43%	21	1811	23.22	8	8	16	62	273	0	1	1	11	386	10	0	57.78%	765	4	1.32	1	5	0	1	1	9	10	11
2	Cole Schneider	Americans (BUF)	LW/RW	82	44	65	109	69	89	15	149	118	305	83	193	14.43%	21	1767	21.56	9	9	18	55	281	0	2	2	14	359	9	2	57.61%	184	2	1.23	1	6	2	1	0	9	9	9
3	Trevor Moore	Americans (BUF)	C/LW/RW	72	48	56	104	60	60	0	121	151	345	84	249	13.91%	26	1454	20.20	7	7	14	46	221	0	1	1	8	194	7	2	54.86%	700	4	1.43	2	3	0	0	0	6	10	7
4	Michael Amadio	Americans (BUF)	C/RW	65	29	60	89	65	10	0	17	138	178	41	114	16.29%	7	1290	19.86	3	9	12	27	206	2	0	2	8	195	4	0	66.91%	1348	1	1.38	3	3	0	0	0	5	6	8
5	Mikey Eyssimont	Americans (BUF)	C/LW	82	37	47	84	52	56	0	89	123	236	75	188	15.68%	10	1362	16.61	0	4	4	14	107	0	0	0	4	86	4	2	68.84%	796	0	1.23	0	1	0	0	0	9	4	3
6	Sean Malone	Americans (BUF)	C	82	29	51	80	70	58	0	85	124	217	70	167	13.36%	14	1302	15.89	0	2	2	5	60	0	0	0	0	25	7	1	70.88%	522	0	1.23	0	1	0	0	0	7	2	5
7	Laurent Dauphin	Americans (BUF)	C/LW/RW	82	26	47	73	45	55	5	64	114	224	60	176	11.61%	6	1444	17.62	5	7	12	38	281	0	0	0	0	63	5	1	68.06%	792	0	1.01	0	1	0	0	1	2	4	1
8	Keegan Kolesar	Americans (BUF)	RW	82	23	41	64	35	106	20	137	86	185	56	133	12.43%	9	1411	17.21	4	7	11	24	258	0	0	0	1	48	2	2	70.83%	96	0	0.91	0	1	2	0	2	2	2	2
9	Taylor Fedun	Americans (BUF)	D	77	2	43	45	51	34	0	36	54	79	30	45	2.53%	50	1668	21.67	0	11	11	42	251	0	2	2	2	304	1	0	0.00%	0	0	0.54	0	0	0	0	0	1	2	0
10	Ross Johnston	Americans (BUF)	LW	72	10	34	44	58	207	25	236	45	73	29	46	13.70%	31	1133	15.74	1	0	1	8	42	0	2	2	2	93	2	1	52.27%	44	0	0.78	0	0	4	1	0	2	1	4
11	Ryan Fitzgerald	Americans (BUF)	C/LW	77	14	30	44	60	34	0	50	42	93	25	54	15.05%	21	1223	15.89	6	5	11	26	158	1	1	2	2	62	4	1	58.62%	87	0	0.72	1	1	0	0	0	3	2	1
12	Tage Thompson	Americans (BUF)	LW/RW	27	20	17	37	17	52	10	34	40	103	31	60	19.42%	11	539	20.00	5	3	8	20	105	2	1	3	3	81	3	0	51.79%	56	2	1.37	1	2	0	0	1	3	1	2
13	Turner Elson	Americans (BUF)	LW/RW	49	20	15	35	42	22	0	26	52	101	21	71	19.80%	3	660	13.48	1	0	1	4	21	0	0	0	0	18	1	1	69.70%	33	1	1.06	0	0	0	0	0	3	1	3
14	Tyler Lewington	Americans (BUF)	D	82	5	26	31	55	109	5	204	29	50	16	31	10.00%	58	1763	21.50	0	4	4	15	269	0	2	2	1	335	1	0	0.00%	0	0	0.35	0	0	0	0	1	0	2	3
15	Alexander Yelesin	Americans (BUF)	D	82	6	22	28	65	104	10	194	21	49	13	44	12.24%	54	1754	21.40	2	4	6	20	265	1	0	1	2	299	1	0	100.00%	1	0	0.32	0	0	0	0	2	1	3	1
16	Remi Elie	Americans (BUF)	LW	49	5	18	23	35	24	0	40	21	32	11	25	15.63%	17	731	14.94	0	1	1	6	35	0	0	0	0	11	1	0	75.00%	4	0	0.63	1	1	0	0	0	0	2	2
17	Carter Verhaeghe	Sabres	C/LW/RW	19	18	5	23	3	4	0	46	43	85	17	66	21.18%	4	315	16.62	3	1	4	16	55	1	0	1	2	36	2	1	51.16%	303	2	1.46	0	0	0	0	0	3	1	0
18	Andrew Poturalski	Americans (BUF)	C	32	3	17	20	27	36	0	39	12	28	8	27	10.71%	24	558	17.44	0	4	4	8	61	0	0	0	2	34	0	0	69.39%	49	0	0.72	0	0	0	0	0	0	0	2
19	Joona Luoto	Americans (BUF)	LW/RW	27	4	4	8	4	0	0	8	13	26	9	14	15.38%	3	171	6.36	0	0	0	0	2	0	0	0	0	0	0	0	66.67%	3	0	0.93	0	0	0	0	0	0	1	1
20	David Pastrnak	Sabres	RW	2	1	2	3	2	4	0	3	3	9	4	11	11.11%	1	47	23.66	0	0	0	1	12	0	0	0	0	11	0	0	42.86%	21	0	1.27	0	0	0	0	0	0	0	0
21	Andy Welinski	Americans (BUF)	D	15	0	3	3	7	18	0	42	9	12	7	11	0.00%	9	320	21.36	0	2	2	5	50	0	0	0	0	63	0	0	0.00%	0	0	0.19	0	0	0	0	0	0	0	0
22	Ilya Lyubushkin	Americans (BUF)	D	5	1	1	2	3	20	0	12	1	5	2	6	20.00%	3	90	18.17	0	0	0	4	25	0	0	0	0	9	0	0	0.00%	0	0	0.44	0	0	0	0	0	0	0	0
23	Dalton Smith	Americans (BUF)	LW	13	0	2	2	0	15	5	6	1	1	2	3	0.00%	1	86	6.64	0	0	0	0	11	0	0	0	0	23	0	0	61.90%	21	0	0.46	0	0	1	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1253	402	669	1071	905	1173	105	1762	1389	2763	802	1992	14.55%	404	22912	18.29	54	88	142	446	3061	7	12	19	62	2744	64	14	63.55%	5825	16	0.93	10	25	9	3	8	65	63	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	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ilya Samsonov	Sabres	53	45	7	1	0.912	1.49	3172	2	13	79	896	3	1	0.882	17	53	0	4	4	1
2	Ken Appleby	Americans (BUF)	7	4	3	0	0.867	2.15	391	0	2	14	105	0	0	0.000	0	7	4	0	0	1
3	Jon Gillies	Americans (BUF)	5	2	1	1	0.882	2.11	285	0	1	10	85	0	0	0.500	2	4	42	0	0	0
Stats d'équipe Total ou en Moyenne			65	51	11	2	0.905	1.61	3849	2	16	103	1086	3	1	0.842	19	64	46	4	4	2

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Astuces sur les Filtres (Anglais seulement)

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

Nom du 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	Salaire Année 4	Link
Alexander Yelesin	Americans (BUF)	D	25	1996-02-07	Yes	192 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,350,000$	0$	0$	No				Lien / Lien NHL
Andrew Poturalski	Americans (BUF)	C	27	1994-01-14	No	190 Lbs	5 ft11	Yes	No	No	3	Pro & Farm	650,000$	0$	0$	No	650,000$	650,000$		Lien / Lien NHL
Andy Welinski	Americans (BUF)	D	28	1993-04-27	No	206 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,775,000$	0$	0$	No				Lien / Lien NHL
Chris Terry	Americans (BUF)	LW/RW	32	1989-04-07	No	195 Lbs	5 ft10	Yes	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$			Lien / Lien NHL
Cole Schneider	Americans (BUF)	LW/RW	30	1990-08-26	No	200 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$			Lien / Lien NHL
Dalton Smith	Americans (BUF)	LW	28	1992-06-30	No	206 Lbs	6 ft2	Yes	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$		Lien / Lien NHL
Ilya Lyubushkin	Americans (BUF)	D	27	1994-04-06	No	209 Lbs	6 ft2	No	No	No	2	Pro & Farm	985,000$	0$	0$	No	985,000$			Lien / Lien NHL
Jon Gillies	Americans (BUF)	G	27	1994-01-21	No	223 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	0$	0$	No				Lien / Lien NHL
Joona Luoto	Americans (BUF)	LW/RW	23	1997-09-26	Yes	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	758,333$	0$	0$	No	758,333$			Lien / Lien NHL
Keegan Kolesar	Americans (BUF)	RW	24	1997-04-08	Yes	227 Lbs	6 ft2	No	No	No	3	Pro & Farm	905,000$	0$	0$	No	905,000$	905,000$		Lien / Lien NHL
Ken Appleby	Americans (BUF)	G	26	1995-04-09	No	207 Lbs	6 ft4	No	Yes	No	1	Pro & Farm	650,000$	0$	0$	No				Lien
Laurent Dauphin	Americans (BUF)	C/LW/RW	26	1995-03-27	No	180 Lbs	6 ft1	Yes	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$		Lien / Lien NHL
Michael Amadio	Americans (BUF)	C/RW	25	1996-05-13	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	715,000$	0$	0$	No				Lien / Lien NHL
Mikey Eyssimont	Americans (BUF)	C/LW	24	1996-09-09	No	181 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$		Lien / Lien NHL
Remi Elie	Americans (BUF)	LW	26	1995-04-15	No	210 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$		Lien / Lien NHL
Ross Johnston	Americans (BUF)	LW	27	1994-02-18	No	235 Lbs	6 ft5	No	Yes	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$			Lien / Lien NHL
Ryan Fitzgerald	Americans (BUF)	C/LW	26	1994-10-19	No	172 Lbs	5 ft9	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$		Lien / Lien NHL
Sean Malone	Americans (BUF)	C	26	1995-04-30	No	190 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$		Lien / Lien NHL
Tage Thompson	Americans (BUF)	LW/RW	23	1997-10-30	No	205 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,137,500$	0$	0$	No				Lien / Lien NHL
Taylor Fedun	Americans (BUF)	D	32	1988-06-04	No	198 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$		Lien / Lien NHL
Trevor Moore	Americans (BUF)	C/LW/RW	26	1995-03-31	No	170 Lbs	5 ft9	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$		Lien / Lien NHL
Turner Elson	Americans (BUF)	LW/RW	28	1992-09-12	No	184 Lbs	6 ft0	No	Yes	No	4	Pro & Farm	650,000$	0$	0$	No	650,000$	650,000$	650,000$	Lien / Lien NHL
Tyler Lewington	Americans (BUF)	D	26	1994-12-05	No	189 Lbs	6 ft1	No	No	No	1	Pro & Farm	665,000$	0$	0$	No				Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	26.61	198 Lbs	6 ft1	2.22	849,601$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Terry	Michael Amadio	Cole Schneider	40	1	2	2
2	Laurent Dauphin	Trevor Moore	Keegan Kolesar	30	1	2	2
3		Mikey Eyssimont	Sean Malone	20	1	2	2
4		Sean Malone	Chris Terry	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Taylor Fedun	Alexander Yelesin	40	1	2	2
2	Tyler Lewington		30	1	2	2
3	Ross Johnston		20	1	2	2
4	Taylor Fedun	Alexander Yelesin	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Terry	Michael Amadio	Cole Schneider	60	1	2	2
2	Laurent Dauphin	Trevor Moore	Keegan Kolesar	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Taylor Fedun	Alexander Yelesin	60	1	2	2
2	Tyler Lewington		40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chris Terry	Cole Schneider	60	1	2	2
2	Michael Amadio	Trevor Moore	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Taylor Fedun	Alexander Yelesin	60	1	2	2
2	Tyler Lewington		40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Chris Terry	60	1	2	2	Taylor Fedun	Alexander Yelesin	60	1	2	2
2	Cole Schneider	40	1	2	2	Tyler Lewington		40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Chris Terry	Cole Schneider	60	1	2	2
2	Michael Amadio	Trevor Moore	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Taylor Fedun	Alexander Yelesin	60	1	2	2
2	Tyler Lewington		40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Chris Terry	Michael Amadio	Cole Schneider	Taylor Fedun	Alexander Yelesin

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Chris Terry	Michael Amadio	Cole Schneider	Taylor Fedun	Alexander Yelesin

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mikey Eyssimont, , Ross Johnston	Mikey Eyssimont,	Ross Johnston

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Lewington, Taylor Fedun, Alexander Yelesin	Tyler Lewington	Taylor Fedun, Alexander Yelesin

Tirs de Pénalité
Chris Terry, Cole Schneider, Michael Amadio, Trevor Moore, Keegan Kolesar

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
Chris Terry, Cole Schneider, Michael Amadio, Trevor Moore, Keegan Kolesar, Laurent Dauphin, Laurent Dauphin, Mikey Eyssimont, Sean Malone, ,

Lignes de Défense Perso. en Prol.
Taylor Fedun, Alexander Yelesin, Tyler Lewington, ,

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	2	0	1	0	0	0	1	0	4	6	-2	1	0	1	0	0	0	0	0	0	3	-3	1	0	0	0	0	0	1	0	4	3	1	2	0.500	4	6	10	0	0	138	120	95	13	41	775	865	831	61	48	14	22	32	7	0	0.00%	10	1	90.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
2	Barracudas	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	2	4	6	0	0	138	120	95	13	31	775	865	831	61	42	13	45	48	7	0	0.00%	13	2	84.62%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
3	Bears	3	3	0	0	0	0	0	0	23	6	17	2	2	0	0	0	0	0	0	18	5	13	1	1	0	0	0	0	0	0	5	1	4	6	1.000	23	44	67	0	0	138	120	95	13	147	775	865	831	61	35	13	30	67	4	2	50.00%	15	2	86.67%	1	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
4	Bruins	4	1	1	0	2	0	0	0	14	10	4	2	1	1	0	0	0	0	0	9	7	2	2	0	0	0	2	0	0	0	5	3	2	6	0.750	14	26	40	0	0	138	120	95	13	94	775	865	831	61	70	18	50	80	23	2	8.70%	20	3	85.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
5	Checkers	3	2	1	0	0	0	0	0	15	5	10	2	2	0	0	0	0	0	0	14	3	11	1	0	1	0	0	0	0	0	1	2	-1	4	0.667	15	26	41	0	0	138	120	95	13	74	775	865	831	61	37	14	39	45	13	3	23.08%	17	3	82.35%	1	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
6	Comets	2	0	1	0	1	0	0	0	1	1	0	1	0	0	0	1	0	0	0	1	0	1	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	1	1	2	0	1	138	120	95	13	29	775	865	831	61	39	10	37	40	7	0	0.00%	15	0	100.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
7	Condors	2	1	1	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	0	4	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	11	18	0	1	138	120	95	13	44	775	865	831	61	46	5	37	46	16	1	6.25%	16	2	87.50%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
8	Crunch	4	3	1	0	0	0	0	0	18	11	7	2	1	1	0	0	0	0	0	9	7	2	2	2	0	0	0	0	0	0	9	4	5	6	0.750	18	33	51	0	0	138	120	95	13	104	775	865	831	61	90	24	62	77	22	3	13.64%	22	1	95.45%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
9	Devils	3	1	1	0	1	0	0	0	8	6	2	2	1	1	0	0	0	0	0	4	3	1	1	0	0	0	1	0	0	0	4	3	1	4	0.667	8	14	22	1	1	138	120	95	13	68	775	865	831	61	55	16	34	45	7	0	0.00%	15	0	100.00%	1	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
10	Eagles	2	2	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	7	0	7	4	1.000	12	23	35	0	1	138	120	95	13	101	775	865	831	61	20	3	20	32	2	0	0.00%	10	0	100.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
11	Griffins	4	4	0	0	0	0	0	0	19	6	13	2	2	0	0	0	0	0	0	13	4	9	2	2	0	0	0	0	0	0	6	2	4	8	1.000	19	33	52	0	0	138	120	95	13	127	775	865	831	61	67	22	53	106	13	2	15.38%	22	2	90.91%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
12	Gulls	2	2	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	6	0	6	1	1	0	0	0	0	0	0	5	1	4	4	1.000	11	22	33	0	1	138	120	95	13	48	775	865	831	61	41	13	26	43	12	5	41.67%	13	1	92.31%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
13	Heat	2	1	1	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	4	3	1	2	0.500	5	8	13	0	0	138	120	95	13	34	775	865	831	61	31	14	34	39	10	3	30.00%	17	6	64.71%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
14	IceHogs	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	3	3	6	0	0	138	120	95	13	44	775	865	831	61	39	5	44	37	10	2	20.00%	17	5	70.59%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
15	Marlies	4	3	1	0	0	0	0	0	17	10	7	2	2	0	0	0	0	0	0	10	3	7	2	1	1	0	0	0	0	0	7	7	0	6	0.750	17	31	48	0	0	138	120	95	13	119	775	865	831	61	56	16	44	70	46	7	15.22%	20	4	80.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
16	Monsters	3	0	1	0	1	0	1	0	7	7	0	2	0	1	0	1	0	0	0	4	5	-1	1	0	0	0	0	0	1	0	3	2	1	4	0.667	7	8	15	0	0	138	120	95	13	77	775	865	831	61	68	17	44	51	16	0	0.00%	21	2	90.48%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
17	Moose	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	5	7	12	0	1	138	120	95	13	39	775	865	831	61	31	7	26	37	9	1	11.11%	13	1	92.31%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
18	Penguins	3	2	0	0	0	0	1	0	9	5	4	1	0	0	0	0	0	1	0	5	4	1	2	2	0	0	0	0	0	0	4	1	3	6	1.000	9	13	22	0	1	138	120	95	13	82	775	865	831	61	55	12	44	61	7	1	14.29%	20	1	95.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
19	Phantoms	3	1	1	0	0	0	0	1	11	11	0	1	0	1	0	0	0	0	0	2	3	-1	2	1	0	0	0	0	0	1	9	8	1	3	0.500	11	20	31	0	0	138	120	95	13	70	775	865	831	61	63	16	43	53	22	3	13.64%	19	5	73.68%	1	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
20	Rampage	2	2	0	0	0	0	0	0	19	2	17	1	1	0	0	0	0	0	0	8	0	8	1	1	0	0	0	0	0	0	11	2	9	4	1.000	19	32	51	0	1	138	120	95	13	106	775	865	831	61	30	4	23	42	3	1	33.33%	5	0	100.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
21	Reign	2	2	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	7	2	5	4	1.000	11	17	28	0	0	138	120	95	13	64	775	865	831	61	19	6	22	35	14	3	21.43%	11	2	81.82%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
22	Roadrunners	2	2	0	0	0	0	0	0	15	1	14	1	1	0	0	0	0	0	0	6	0	6	1	1	0	0	0	0	0	0	9	1	8	4	1.000	15	27	42	0	1	138	120	95	13	87	775	865	831	61	29	9	12	44	7	2	28.57%	5	0	100.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
23	Rocket	4	2	1	0	0	0	0	1	17	15	2	2	1	1	0	0	0	0	0	7	6	1	2	1	0	0	0	0	0	1	10	9	1	5	0.625	17	30	47	0	0	138	120	95	13	118	775	865	831	61	61	14	70	67	17	0	0.00%	22	7	68.18%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
24	Senators	4	3	0	0	0	0	1	0	14	1	13	2	1	0	0	0	0	1	0	7	1	6	2	2	0	0	0	0	0	0	7	0	7	8	1.000	14	25	39	0	3	138	120	95	13	121	775	865	831	61	60	19	40	96	20	1	5.00%	20	0	100.00%	1	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
25	Sound Tigers	3	3	0	0	0	0	0	0	21	4	17	1	1	0	0	0	0	0	0	9	0	9	2	2	0	0	0	0	0	0	12	4	8	6	1.000	21	39	60	0	2	138	120	95	13	145	775	865	831	61	32	10	26	69	4	3	75.00%	13	2	84.62%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
26	Stars	2	1	1	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	0	4	2	0.500	5	8	13	0	1	138	120	95	13	50	775	865	831	61	48	17	47	55	8	0	0.00%	16	2	87.50%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
27	Thunderbirds	4	2	0	0	0	2	0	0	16	15	1	2	1	0	0	0	1	0	0	7	6	1	2	1	0	0	0	1	0	0	9	9	0	6	0.750	16	29	45	0	0	138	120	95	13	108	775	865	831	61	75	21	42	64	20	1	5.00%	20	1	95.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
28	Wild	2	2	0	0	0	0	0	0	19	5	14	1	1	0	0	0	0	0	0	11	3	8	1	1	0	0	0	0	0	0	8	2	6	4	1.000	19	34	53	0	0	138	120	95	13	111	775	865	831	61	26	7	17	48	2	0	0.00%	6	0	100.00%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
29	Wolf Pack	3	3	0	0	0	0	0	0	30	3	27	1	1	0	0	0	0	0	0	11	1	10	2	2	0	0	0	0	0	0	19	2	17	6	1.000	30	55	85	0	0	138	120	95	13	180	775	865	831	61	33	12	50	56	1	0	0.00%	13	0	100.00%	1	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
30	Wolves	2	2	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	1	0	1	4	1.000	4	6	10	0	1	138	120	95	13	47	775	865	831	61	26	8	26	34	9	1	11.11%	12	1	91.67%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
	Total	82	52	17	0	5	2	4	2	362	174	188	41	25	11	0	2	1	2	0	183	86	97	41	27	6	0	3	1	2	2	179	88	91	126	0.768	362	635	997	1	16	138	120	95	13	2510	775	865	831	61	1372	379	1109	1619	358	47	13.13%	458	56	87.77%	6	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
	_Since Last GM Reset	82	52	17	0	5	2	4	2	362	174	188	41	25	11	0	2	1	2	0	183	86	97	41	27	6	0	3	1	2	2	179	88	91	126	0.768	362	635	997	1	16	138	120	95	13	2510	775	865	831	61	1372	379	1109	1619	358	47	13.13%	458	56	87.77%	6	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
	_Vs Conference	28	19	8	0	0	0	1	0	122	58	64	14	9	5	0	0	0	0	0	53	28	25	14	10	3	0	0	0	1	0	69	30	39	40	0.714	122	208	330	0	8	138	120	95	13	847	775	865	831	61	476	125	401	572	116	19	16.38%	164	23	85.98%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520
	_Vs Division	14	9	4	0	0	0	1	0	67	33	34	7	4	3	0	0	0	0	0	28	16	12	7	5	1	0	0	0	1	0	39	17	22	20	0.714	67	113	180	0	4	138	120	95	13	492	775	865	831	61	242	57	199	283	41	4	9.76%	77	9	88.31%	0	1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%	2491	1867	1539	505	940	520

			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
82	126	L1	362	635	997	2510	1372	379	1109	1619	1	16

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	52	17	5	2	4	2	362	174

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	25	11	2	1	2	0	183	86

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	27	6	3	1	2	2	179	88

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	3	1	1	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
358	47	13.13%	458	56	87.77%	6

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
775	865	831	61	138	120	95	13

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
1562	2410	64.81%	1150	1882	61.11%	844	1250	67.52%

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
2491	1867	1539	505	940	520

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
2 - 2020-10-25	11	Americans	2	Penguins	0	W			Sommaire du Match
4 - 2020-10-27	20	Devils	3	Americans	1	L			Sommaire du Match
6 - 2020-10-29	34	Americans	3	Monsters	2	W	X	X	Sommaire du Match
8 - 2020-10-31	44	Rocket	2	Americans	1	L			Sommaire du Match
10 - 2020-11-02	58	Thunderbirds	1	Americans	3	W			Sommaire du Match
13 - 2020-11-05	79	Stars	3	Americans	1	L			Sommaire du Match
15 - 2020-11-07	92	Americans	5	Gulls	1	W			Sommaire du Match
16 - 2020-11-08	101	Americans	7	Reign	2	W			Sommaire du Match
18 - 2020-11-10	120	Americans	1	Barracudas	2	L			Sommaire du Match
21 - 2020-11-13	134	Barracudas	5	Americans	1	L			Sommaire du Match
23 - 2020-11-15	153	Americans	10	Wolf Pack	1	W			Sommaire du Match
24 - 2020-11-16	155	Americans	2	Griffins	1	W			Sommaire du Match
27 - 2020-11-19	177	Roadrunners	0	Americans	6	W			Sommaire du Match
31 - 2020-11-23	203	Americans	5	Bears	1	W			Sommaire du Match
32 - 2020-11-24	206	Sound Tigers	0	Americans	9	W			Sommaire du Match
38 - 2020-11-30	248	Crunch	3	Americans	6	W			Sommaire du Match
39 - 2020-12-01	260	Americans	4	Crunch	1	W			Sommaire du Match
44 - 2020-12-06	287	Checkers	1	Americans	6	W			Sommaire du Match
46 - 2020-12-08	301	Senators	1	Americans	2	W	X	X	Sommaire du Match
47 - 2020-12-09	314	Americans	2	IceHogs	8	L			Sommaire du Match
49 - 2020-12-11	318	Wild	3	Americans	11	W			Sommaire du Match
51 - 2020-12-13	334	Americans	3	Bruins	2	W	X		Sommaire du Match
54 - 2020-12-16	364	Americans	4	Thunderbirds	3	W			Sommaire du Match
55 - 2020-12-17	373	Americans	5	Crunch	3	W			Sommaire du Match
57 - 2020-12-19	378	Heat	5	Americans	1	L			Sommaire du Match
59 - 2020-12-21	393	Marlies	2	Americans	7	W			Sommaire du Match
60 - 2020-12-22	415	Americans	2	Marlies	6	L			Sommaire du Match
62 - 2020-12-24	420	Devils	0	Americans	3	W			Sommaire du Match
65 - 2020-12-27	441	Americans	4	Heat	3	W			Sommaire du Match
67 - 2020-12-29	462	Americans	0	Comets	1	L			Sommaire du Match
68 - 2020-12-30	464	Americans	3	Condors	4	L			Sommaire du Match
70 - 2021-01-01	473	Rampage	0	Americans	8	W			Sommaire du Match
72 - 2021-01-03	489	Admirals	3	Americans	0	L			Sommaire du Match
74 - 2021-01-05	509	Americans	6	Sound Tigers	0	W			Sommaire du Match
77 - 2021-01-08	531	Americans	5	Marlies	1	W			Sommaire du Match
79 - 2021-01-10	544	Americans	5	Phantoms	6	L	X	X	Sommaire du Match
81 - 2021-01-12	553	Reign	1	Americans	4	W			Sommaire du Match
83 - 2021-01-14	575	Americans	4	Senators	0	W			Sommaire du Match
87 - 2021-01-18	583	Bruins	1	Americans	4	W			Sommaire du Match
89 - 2021-01-20	604	Americans	2	Bruins	1	W	X		Sommaire du Match
91 - 2021-01-22	614	Crunch	4	Americans	3	L			Sommaire du Match
93 - 2021-01-24	629	Condors	0	Americans	4	W			Sommaire du Match
95 - 2021-01-26	643	Thunderbirds	5	Americans	4	L	X		Sommaire du Match
100 - 2021-01-31	686	Americans	11	Rampage	2	W			Sommaire du Match
102 - 2021-02-02	692	Comets	0	Americans	1	W	X		Sommaire du Match
103 - 2021-02-03	704	Americans	4	Griffins	1	W			Sommaire du Match
105 - 2021-02-05	715	Wolves	1	Americans	3	W			Sommaire du Match
107 - 2021-02-07	730	Americans	4	Stars	0	W			Sommaire du Match
109 - 2021-02-09	749	Americans	4	Admirals	3	W	X	X	Sommaire du Match
119 - 2021-02-19	774	Senators	0	Americans	5	W			Sommaire du Match
121 - 2021-02-21	783	Rocket	4	Americans	6	W			Sommaire du Match
123 - 2021-02-23	793	Monsters	1	Americans	2	W	X		Sommaire du Match
126 - 2021-02-26	814	Eagles	2	Americans	5	W			Sommaire du Match
128 - 2021-02-28	828	Griffins	3	Americans	5	W			Sommaire du Match
129 - 2021-03-01	841	Americans	9	Wolf Pack	1	W			Sommaire du Match
131 - 2021-03-03	855	Gulls	0	Americans	6	W			Sommaire du Match
133 - 2021-03-05	867	Griffins	1	Americans	8	W			Sommaire du Match
135 - 2021-03-07	881	Monsters	4	Americans	2	L			Sommaire du Match
138 - 2021-03-10	906	Marlies	1	Americans	3	W			Sommaire du Match
140 - 2021-03-12	922	Americans	3	Senators	0	W			Sommaire du Match
144 - 2021-03-16	955	Americans	2	Penguins	1	W			Sommaire du Match
145 - 2021-03-17	960	Moose	0	Americans	2	W			Sommaire du Match
148 - 2021-03-20	981	Americans	7	Eagles	0	W			Sommaire du Match
150 - 2021-03-22	998	Americans	1	Wolves	0	W			Sommaire du Match
151 - 2021-03-23	999	Americans	9	Roadrunners	1	W			Sommaire du Match
154 - 2021-03-26	1028	Americans	3	Moose	2	W			Sommaire du Match
156 - 2021-03-28	1033	Penguins	4	Americans	5	W	X	X	Sommaire du Match
158 - 2021-03-30	1056	Americans	4	Phantoms	2	W			Sommaire du Match
160 - 2021-04-01	1066	Bears	3	Americans	9	W			Sommaire du Match
163 - 2021-04-04	1088	Americans	6	Rocket	7	L	X	X	Sommaire du Match
164 - 2021-04-05	1093	Bruins	6	Americans	5	L			Sommaire du Match
166 - 2021-04-07	1110	Checkers	2	Americans	8	W			Sommaire du Match
168 - 2021-04-09	1123	Americans	1	Checkers	2	L			Sommaire du Match
170 - 2021-04-11	1140	Americans	5	Thunderbirds	6	L	X		Sommaire du Match
172 - 2021-04-13	1153	IceHogs	5	Americans	1	L			Sommaire du Match
173 - 2021-04-14	1164	Wolf Pack	1	Americans	11	W			Sommaire du Match
175 - 2021-04-16	1178	Americans	4	Rocket	2	W			Sommaire du Match
177 - 2021-04-18	1197	Americans	6	Sound Tigers	4	W			Sommaire du Match
179 - 2021-04-20	1210	Americans	8	Wild	2	W			Sommaire du Match
181 - 2021-04-22	1224	Bears	2	Americans	9	W			Sommaire du Match
184 - 2021-04-25	1247	Americans	4	Devils	3	W	X		Sommaire du Match
186 - 2021-04-27	1259	Phantoms	3	Americans	2	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	100	0
Assistance	36,734	39,093
Assistance PCT	44.80%	95.35%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	1849 - 61.65%	89,595$	3,673,400$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,725,358$	1,954,083$	1,909,917$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
10,506$	1,825,318$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	15,345$	0$

Afficher ou Masquer des Colonnes

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	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

	Americans
	GP: 82 \| W: 61 \| L: 17 \| OTL: 4 \| P: 126 GF: 362 \| GA: 174 \| PP%: 13.13% \| PK%: 87.77% DG: Jason \| Morale : 50 \| Moyenne d'Équipe : 60