Couch Coach Hockey League - Today's Games Farm

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Adam Lowry	0	C/LW	100.00	93	78	63	79	85	68	86	78	81	65	65	70	72	99	99	45	79	72	31	1,850,000$/1yrs
Stefan Noesen	0	LW/RW	100.00	67	42	79	83	78	80	76	80	25	68	72	73	68	99	99	38	79	72	31	1,350,000$/1yrs
Devante Smith-Pelley	0	LW/RW	100.00	98	85	58	76	81	73	83	80	25	66	65	78	67	99	98	35	79	72	32	950,000$/1yrs
Anton Blidh	0	LW/RW	100.00	63	44	86	80	75	73	82	83	25	70	69	77	67	93	96	49	79	72	29	706,969$/1yrs
Pontus Aberg	0	LW/RW	100.00	54	29	95	76	71	72	79	83	25	75	73	78	66	98	98	48	69	72	30	2,150,000$/1yrs
Alexander Dergachyov	0	C/RW	100.00	94	86	59	84	89	75	84	77	70	63	66	81	44	82	82	56	79	72	27	1,350,000$/1yrs
Nick Bonino	0	C	100.00	56	41	90	76	76	66	91	67	89	70	67	82	70	99	99	12	79	71	36	1,350,000$/1yrs
Blake Murray (R) (A)	85	C/LW	100.00	75	73	66	89	72	76	95	75	65	66	75	76	70	62	62	74	79	71	23	1,250,000$/1yrs
MacKenzie Entwistle (A)	0	C/LW	100.00	52	47	96	93	80	61	89	80	60	73	70	69	68	62	62	79	76	70	25	1,250,000$/1yrs
Nick Merkley	0	C/RW	100.00	53	37	92	87	65	71	68	77	70	72	69	62	65	94	91	67	79	70	27	875,000$/2yrs
Griffen Molino	0	C/LW	100.00	51	31	98	74	70	71	76	78	81	66	64	77	61	98	95	47	79	69	30	850,000$/2yrs
Michael Vecchione	98	C/RW	100.00	56	36	93	72	71	76	78	74	77	64	60	74	64	94	96	40	23	68	31	950,000$/1yrs
Alexey Marchenko	0	D	100.00	61	27	95	75	82	74	77	70	25	60	53	82	57	99	99	35	79	72	32	1,250,000$/1yrs
Alexei Bereglazov	51	D	100.00	61	36	89	73	82	69	73	79	25	69	61	80	57	96	97	49	79	72	30	706,969$/1yrs
Vince Dunn	0	D	100.00	83	75	64	77	75	70	71	76	25	69	65	80	61	84	88	64	47	72	27	706,969$/1yrs
Keaton Thompson	92	D	100.00	86	69	62	71	68	72	72	77	25	68	63	74	58	97	99	60	77	71	28	1,650,000$/1yrs
William Lagesson	0	D	100.00	84	67	62	71	80	78	67	75	25	59	55	69	58	88	91	60	78	69	28	995,000$/1yrs
Arber Xhekaj	0	D	100.00	96	99	48	72	91	67	68	65	25	52	50	76	25	49	49	50	77	66	23	2,150,000$/6yrs
Scratches
Wade Megan	0	C	100.00	51	35	97	74	73	74	76	73	82	59	62	67	65	99	99	18	20	67	34	750,000$/1yrs
Kevin Rooney	21	C	100.00	52	34	97	72	74	55	79	74	81	61	57	74	64	99	99	46	20	67	31	1,950,000$/1yrs
Gabriel Gagne	0	C/RW	100.00	83	75	66	74	75	69	74	74	26	56	60	70	61	94	97	60	20	67	27	700,000$/1yrs
Drew OConnor	0	LW	100.00	67	43	93	78	78	52	58	68	44	60	55	74	25	54	54	65	20	62	26	850,000$/1yrs
Mathieu Olivier	25	LW/RW	100.00	82	93	46	66	81	57	70	60	47	56	58	75	25	56	56	66	20	61	27	700,000$/1yrs
Jeff Taylor	0	D	100.00	62	38	83	74	67	69	73	76	25	65	59	69	59	96	99	48	19	69	30	1,050,000$/1yrs
Macoy Erkamps	20	D	100.00	79	54	64	69	75	66	72	71	25	61	53	72	56	92	95	50	20	69	29	995,000$/1yrs
Johnathan MacLeod	70	D	100.00	95	94	54	81	78	75	89	62	23	49	44	71	20	76	74	62	19	69	28	1,050,000$/1yrs

Show or Hide Column

Filter Tips

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

Goalie	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Niklas Svedberg	89	100.00	74	76	75	66	72	91	89	90	89	77	74	99	99	18	79	81	35	875,000$/1yrs
Jeff Zatkoff	0	100.00	76	78	75	69	73	81	83	79	82	81	77	99	99	2	21	79	37	700,000$/1yrs
Scratches
Matt Hackett	0	100.00	71	75	73	69	71	87	85	87	88	73	71	99	97	36	83	80	34	700,000$/2yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

General Manager

Player Stats

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	EG	P/20	PSG	PSS
1	MacKenzie Entwistle	Eagles (COL)	C/LW	77	29	45	74	6	5	5	2	253	72	181	11.46%	10	15.99	8	18	26	178	0	0	0	14	5	3	57.83%	83	0	1.20	0	0
2	Blake Murray	Eagles (COL)	C/LW	77	27	41	68	17	10	0	90	297	106	226	9.09%	6	17.79	6	16	22	192	0	0	0	0	2	1	47.62%	147	0	0.99	0	3
3	Pontus Aberg	Eagles (COL)	LW/RW	77	37	30	67	17	0	0	1	290	71	200	12.76%	13	17.34	14	9	23	191	0	0	0	0	5	1	27.68%	112	0	1.00	0	0
4	Stefan Noesen	Eagles (COL)	LW/RW	77	25	37	62	1	38	0	166	249	71	210	10.04%	14	16.69	7	16	23	187	0	0	0	0	6	1	27.55%	98	0	0.96	1	3
5	Nick Merkley	Eagles (COL)	C/RW	77	16	41	57	5	2	0	1	159	49	96	10.06%	5	15.81	4	14	18	183	0	0	0	0	4	0	53.29%	1685	0	0.94	0	0
6	Alexei Bereglazov	Eagles (COL)	D	77	16	37	53	6	4	0	25	123	28	86	13.01%	115	20.74	10	14	24	185	1	0	1	222	3	0	0.00%	0	0	0.66	0	0
7	Nick Bonino	Eagles (COL)	C	77	16	32	48	5	10	0	32	174	51	117	9.20%	23	17.21	0	0	0	9	0	1	1	217	3	1	62.64%	1836	1	0.72	0	0
8	Keaton Thompson	Eagles (COL)	D	68	8	38	46	14	40	0	114	76	30	55	10.53%	80	21.33	4	7	11	165	0	1	1	178	0	0	0.00%	0	0	0.63	0	0
9	Vince Dunn	Eagles (COL)	D	61	10	34	44	10	53	5	124	100	32	50	10.00%	85	19.78	4	7	11	138	0	1	1	82	1	0	0.00%	0	0	0.73	0	0
10	Alexander Dergachyov	Eagles (COL)	C/RW	77	21	19	40	10	87	5	242	185	57	155	11.35%	18	15.77	0	0	0	0	2	1	3	184	1	2	49.04%	104	0	0.66	0	0
11	Adam Lowry	Eagles (COL)	C/LW	77	9	23	32	20	86	0	200	166	43	99	5.42%	5	15.21	0	0	0	8	0	0	0	2	2	0	60.41%	1503	0	0.55	1	3
12	Alexey Marchenko	Eagles (COL)	D	77	6	21	27	13	10	0	31	71	22	51	8.45%	111	21.18	0	3	3	36	0	0	0	227	2	0	0.00%	0	0	0.33	0	0
13	Anton Blidh	Eagles (COL)	LW/RW	77	10	9	19	5	5	5	2	110	30	74	9.09%	7	7.19	0	0	0	0	1	0	1	60	2	1	39.29%	56	0	0.69	0	0
14	Devante Smith-Pelley	Eagles (COL)	LW/RW	77	6	12	18	7	53	5	114	92	32	81	6.52%	9	9.31	0	0	0	2	1	1	2	218	0	0	24.07%	54	0	0.50	0	0
15	Arber Xhekaj	Eagles (COL)	D	70	4	12	16	10	111	5	279	60	19	32	6.67%	86	19.29	1	0	1	3	0	0	0	165	1	0	0.00%	0	0	0.24	0	0
16	William Lagesson	Eagles (COL)	D	75	5	9	14	1	82	10	214	57	18	38	8.77%	66	18.52	2	1	3	176	0	0	0	20	0	0	0.00%	0	0	0.20	0	0
17	Jeff Taylor	Eagles (COL)	D	25	3	9	12	7	14	0	32	27	8	22	11.11%	17	19.92	1	1	2	55	0	1	1	38	0	0	0.00%	0	0	0.48	0	0
18	Michael Vecchione	Eagles (COL)	C/RW	12	3	6	9	2	0	0	7	26	5	23	11.54%	3	16.43	0	1	1	22	0	0	0	0	2	1	48.78%	41	0	0.91	0	0
19	Griffen Molino	Eagles (COL)	C/LW	77	2	7	9	6	2	0	0	81	22	53	2.47%	8	9.47	0	0	0	0	0	1	1	237	0	0	57.39%	1035	0	0.25	0	0
20	Macoy Erkamps	Eagles (COL)	D	3	1	1	2	2	2	0	6	2	1	1	50.00%	4	16.83	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.79	0	0
21	Johnathan MacLeod	Eagles (COL)	D	6	0	0	0	3	18	10	12	3	2	2	0.00%	5	16.28	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0
Team Total or Average				1321	254	463	717	167	632	50	1694	2601	769	1852	9.77%	690	16.36	61	107	168	1739	5	7	12	1872	39	11	56.74%	6754	1	0.66	2	9

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	GS	W	L	OTL	PCT	GAA	GSAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Niklas Svedberg	Eagles (COL)	67	67	38	23	5	0.897	3.15	-36.1	3923	4	2	206	1999	0	2	2	1.000	3	67	10	4	1	3
2	Matt Hackett	Eagles (COL)	14	10	6	2	3	0.947	1.88	14.1	733	0	0	23	437	0	0	0	0.400	5	10	62	4	2	0
Team Total or Average		81	44	25	8	0.906	2.95	4657	4	2	229	2436	0	2	2	0.625	8	77	72	8	3	3

Salary

Player Name	POS	Age	2017-18	2018-19	2019-20	2020-21	2021-22	2022-23
Adam Lowry	C/LW	31	$1,850,000
Alexander Dergachyov	C/RW	27	$1,350,000
Alexei Bereglazov	D	30	$706,969
Alexey Marchenko	D	32	$1,250,000
Anton Blidh	LW/RW	29	$706,969
Arber Xhekaj	D	23	$2,150,000	$2,150,000	$2,150,000	$2,150,000	$2,150,000	$2,150,000
Blake Murray	C/LW	23	$1,250,000
Devante Smith-Pelley	LW/RW	32	$950,000
Drew OConnor	LW	26	$850,000
Gabriel Gagne	C/RW	27	$700,000
Griffen Molino	C/LW	30	$850,000	$850,000
Jeff Taylor	D	30	$1,050,000
Jeff Zatkoff	G	37	$700,000
Johnathan MacLeod	D	28	$1,050,000
Keaton Thompson	D	28	$1,650,000
Kevin Rooney	C	31	$1,950,000
MacKenzie Entwistle	C/LW	25	$1,250,000
Macoy Erkamps	D	29	$995,000
Mathieu Olivier	LW/RW	27	$700,000
Matt Hackett	G	34	$700,000	$700,000
Michael Vecchione	C/RW	31	$950,000
Nick Bonino	C	36	$1,350,000
Nick Merkley	C/RW	27	$875,000	$875,000
Niklas Svedberg	G	35	$875,000
Pontus Aberg	LW/RW	30	$2,150,000
Stefan Noesen	LW/RW	31	$1,350,000
Vince Dunn	D	27	$706,969
Wade Megan	C	34	$750,000
William Lagesson	D	28	$995,000

Lines

Forward Lines
#85 - Blake Murray	#0 - Adam Lowry	#0 - Pontus Aberg
#0 - Stefan Noesen	#0 - Nick Bonino	#98 - Michael Vecchione
#0 - MacKenzie Entwistle	#0 - Nick Merkley	#0 - Alexander Dergachyov
#0 - Anton Blidh	#0 - Griffen Molino	#0 - Devante Smith-Pelley

Defensive Pairings
#92 - Keaton Thompson	#0 - Arber Xhekaj
#0 - Vince Dunn	#0 - Alexey Marchenko
#0 - William Lagesson	#51 - Alexei Bereglazov

1st Power Play Unit
#85 - Blake Murray		#0 - Nick Merkley		#0 - Pontus Aberg
#0 - Vince Dunn			#51 - Alexei Bereglazov

2nd Power Play Unit
#0 - MacKenzie Entwistle		#98 - Michael Vecchione		#0 - Stefan Noesen
#92 - Keaton Thompson			#0 - William Lagesson

Goalies

Team Stats

Show or Hide Column

Filter Tips

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

#	VS Team	GP	W	L	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	GF%	SH%	SV%	PDO	PDOBRK
1	Wranglers	2	0	2	0	0	0	0	6	8	-2	0	0.000	6	12	18	0	0	124	88	59	8	81	947	924	900	46	62	23	20	43	8	3	37.50%	10	1	90.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	30.0%	7.4%	87.1%	94.5	Unlucky
2	Phantoms	1	0	1	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	124	88	59	8	36	947	924	900	46	33	7	6	20	5	0	0.00%	2	1	50.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	20.0%	2.8%	84.8%	87.6	Unlucky
3	Comets	1	0	1	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	124	88	59	8	13	947	924	900	46	39	14	12	22	1	0	0.00%	6	0	100.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	0.0%	0.0%	94.9%	94.9	DULL
4	Senators	2	1	0	0	0	0	1	6	6	0	3	0.750	6	12	18	0	0	124	88	59	8	69	947	924	900	46	90	20	26	52	3	1	33.33%	13	2	84.62%	1	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	55.6%	8.7%	93.3%	102.0	DULL
5	Islanders	2	1	0	0	1	0	0	8	6	2	3	0.750	8	14	22	0	0	124	88	59	8	59	947	924	900	46	70	17	20	43	6	1	16.67%	10	1	90.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	58.3%	13.6%	91.4%	105.0	LUCKY
6	Checkers	1	0	0	1	0	0	0	5	4	1	2	1.000	5	9	14	0	0	124	88	59	8	42	947	924	900	46	26	9	2	23	4	1	25.00%	1	0	100.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	50.0%	11.9%	84.6%	96.5	FUN
7	Canucks	1	0	0	0	1	0	0	3	4	-1	1	0.500	3	5	8	0	0	124	88	59	8	33	947	924	900	46	32	8	8	21	7	3	42.86%	4	0	100.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	0.0%	9.1%	87.5%	96.6	FUN
8	Griffins	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	124	88	59	8	36	947	924	900	46	31	10	6	21	5	1	20.00%	2	2	0.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	0.0%	2.8%	90.3%	93.1	Unlucky
9	Rocket	1	1	0	0	0	0	0	5	1	4	2	1.000	5	10	15	0	0	124	88	59	8	39	947	924	900	46	34	8	14	27	5	3	60.00%	7	0	100.00%	1	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	66.7%	12.8%	97.1%	109.9	LUCKY
10	Bears	1	1	0	0	0	0	0	5	3	2	2	1.000	5	10	15	0	0	124	88	59	8	35	947	924	900	46	36	10	10	20	3	1	33.33%	5	2	60.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	80.0%	14.3%	91.7%	106.0	LUCKY
11	Wild	6	1	2	1	2	0	0	16	18	-2	6	0.500	16	30	46	0	0	124	88	59	8	197	947	924	900	46	177	49	52	126	17	3	17.65%	24	5	79.17%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	50.0%	8.1%	89.8%	98.0	Unlucky
12	Reign	3	2	0	0	0	0	1	12	10	2	5	0.833	12	22	34	0	0	124	88	59	8	120	947	924	900	46	95	31	19	83	6	1	16.67%	7	2	71.43%	1	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	57.9%	10.0%	89.5%	99.5	FUN
13	Admirals	6	2	3	0	0	1	0	18	17	1	6	0.500	18	29	47	1	0	124	88	59	8	231	947	924	900	46	189	63	32	138	16	7	43.75%	15	3	80.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	44.0%	7.8%	91.0%	98.8	Unlucky
14	Crunch	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	124	88	59	8	29	947	924	900	46	27	7	10	22	8	0	0.00%	3	2	33.33%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	50.0%	3.4%	88.9%	92.3	Unlucky
15	Condors	2	0	2	0	0	0	0	5	10	-5	0	0.000	5	9	14	0	0	124	88	59	8	47	947	924	900	46	63	17	16	46	4	1	25.00%	8	3	62.50%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	36.4%	10.6%	84.1%	94.8	FUN
16	Thunderbirds	4	2	1	1	0	0	0	21	12	9	6	0.750	21	38	59	0	0	124	88	59	8	194	947	924	900	46	146	30	49	113	11	2	18.18%	10	3	70.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	67.9%	10.8%	91.8%	102.6	LUCKY
17	Grizzlies	6	4	1	1	0	0	0	30	12	18	10	0.833	30	51	81	0	2	124	88	59	8	221	947	924	900	46	142	35	50	103	17	7	41.18%	23	2	91.30%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	69.7%	13.6%	91.5%	105.1	LUCKY
18	Bruins	1	1	0	0	0	0	0	5	2	3	2	1.000	5	9	14	0	0	124	88	59	8	39	947	924	900	46	39	8	12	27	5	2	40.00%	5	0	100.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	60.0%	12.8%	94.9%	107.7	LUCKY
19	Americans	1	1	0	0	0	0	0	7	3	4	2	1.000	7	13	20	0	0	124	88	59	8	40	947	924	900	46	30	12	8	14	5	3	60.00%	4	1	75.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	66.7%	17.5%	90.0%	107.5	FUN
20	IceHogs	5	2	3	0	0	0	0	12	16	-4	4	0.400	12	22	34	0	0	124	88	59	8	163	947	924	900	46	159	55	30	115	6	2	33.33%	15	5	66.67%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	47.6%	7.4%	89.9%	97.3	Unlucky
21	Citadelles	1	0	0	1	0	0	0	5	4	1	2	1.000	5	10	15	0	0	124	88	59	8	43	947	924	900	46	38	11	8	17	3	1	33.33%	4	2	50.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	66.7%	11.6%	89.5%	101.1	FUN
22	Monsters	2	1	0	1	0	0	0	9	7	2	4	1.000	9	16	25	0	0	124	88	59	8	79	947	924	900	46	60	20	10	38	4	1	25.00%	5	0	100.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	53.3%	11.4%	88.3%	99.7	FUN
23	Moose	9	5	4	0	0	0	0	33	31	2	10	0.556	33	58	91	1	0	124	88	59	8	328	947	924	900	46	299	92	99	203	33	9	27.27%	39	9	76.92%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	52.2%	10.1%	89.6%	99.7	FUN
24	Gulls	2	2	0	0	0	0	0	12	4	8	4	1.000	12	18	30	0	0	124	88	59	8	85	947	924	900	46	60	17	12	34	6	1	16.67%	6	1	83.33%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	78.6%	14.1%	93.3%	107.5	LUCKY
25	Stars	7	5	1	0	1	0	0	25	21	4	11	0.786	25	47	72	0	0	124	88	59	8	253	947	924	900	46	224	54	49	163	28	8	28.57%	20	2	90.00%	1	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	47.2%	9.9%	90.6%	100.5	FUN
26	Marlies	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	124	88	59	8	45	947	924	900	46	31	7	6	15	5	0	0.00%	3	2	33.33%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	50.0%	4.4%	87.1%	91.5	Unlucky
27	Penguins	1	1	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	124	88	59	8	40	947	924	900	46	26	7	2	27	3	1	33.33%	1	0	100.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	66.7%	7.5%	96.2%	103.7	DULL
28	Barracuda	2	1	0	0	1	0	0	5	4	1	3	0.750	5	8	13	0	0	124	88	59	8	84	947	924	900	46	53	16	14	56	5	1	20.00%	7	0	100.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	50.0%	6.0%	92.5%	98.4	DULL
29	Firebirds	2	1	1	0	0	0	0	9	9	0	2	0.500	9	16	25	0	0	124	88	59	8	60	947	924	900	46	74	20	20	43	4	1	25.00%	10	3	70.00%	0	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	57.1%	15.0%	87.8%	102.8	FUN
30	Silver Knights	2	2	0	0	0	0	0	8	3	5	4	1.000	8	14	22	0	0	124	88	59	8	67	947	924	900	46	53	22	16	42	4	2	50.00%	7	1	85.71%	1	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	75.0%	11.9%	94.3%	106.3	LUCKY
	_Vs Division	16	11	6	0	2	0	1	60	52	8	25	0.781	60	104	164	0	0	124	88	59	8	577	947	924	900	46	492	154	125	368	44	13	29.55%	59	11	81.36%	2	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	53.4%	10.4%	89.4%	99.8	FUN
	_Vs Conference	59	28	21	4	4	1	1	214	182	32	71	0.602	214	377	591	2	2	124	88	59	8	2179	947	924	900	46	1834	532	478	1325	170	48	28.24%	201	41	79.60%	2	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	54.1%	9.8%	90.1%	99.9	FUN
	_Since Last GM Reset	77	37	25	6	6	1	2	278	233	45	96	0.623	278	496	774	2	2	124	88	59	8	2808	947	924	900	46	2438	699	638	1717	237	67	28.27%	276	55	80.07%	5	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	54.2%	9.9%	90.4%	100.3	FUN
	Total	77	37	25	6	6	1	2	278	233	45	96	0.623	278	496	774	2	2	124	88	59	8	2808	947	924	900	46	2438	699	638	1717	237	67	28.27%	276	55	80.07%	5	1697	3027	56.06%	1558	2730	57.07%	737	1264	58.31%	1916	1339	1758	549	986	498	54.2%	9.9%	90.4%	100.3	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	12
Defensive Zone	22

	Puck Time
Offensive Zone Start	3027
Neutral Zone Start	1264
Defensive Zone Start	2730

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	3992
Faceoffs Lost	3029

	Team Average Shots after	League Average Shots after
1st Period	12.3	9.57
2nd Period	24.3	20.31
3rd Period	36.0	30.68
Overtime	36.6	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.6	0.64
2nd Period	2.8	1.65
3rd Period	3.5	2.67
Overtime	3.6	2.83


Even Strenght Goal	204
PP Goal	67
PK Goal	5
Empty Net Goal	2

	Home	Away
Win	22	22
Lost	13	12
Overtime Lost	3	5


PP Attempt	237
PP Goal	67
PK Attempt	276
PK Goal Against	55

	Home
Shots For	36.5
Shots Against	31.7
Goals For	3.6
Goals Against	3.0
Hits	22.3
Shots Blocked	9.1
Pim	8.3

Schedule

Date	Matchup			Result	Detail
Sun, Jun 23	TEX	@	COL	TEX2,COL3	RECAP
Wed, Jun 26	COL	@	MIL	COL2,MIL4	RECAP
Fri, Jun 28	IOW	@	COL	IOW3,COL2	RECAP
Sat, Jun 29	COL	@	MAN	COL6,MAN5	RECAP
Mon, Jul 1	COL	@	MAN	COL4,MAN3	RECAP
Thu, Jul 4	UTA	@	COL	UTA2,COL3 (OT)	RECAP
Fri, Jul 5	COL	@	MAN	COL4,MAN6	RECAP
Sun, Jul 7	MAN	@	COL	MAN3,COL5	RECAP
Tue, Jul 9	COL	@	RCK	COL4,RCK3	RECAP
Thu, Jul 11	TEX	@	COL	TEX4,COL5	RECAP
Sun, Jul 14	MIL	@	COL	MIL3,COL1	RECAP
Wed, Jul 17	COL	@	UTA	COL4,UTA3	RECAP
Thu, Jul 18	COL	@	SPR	COL2,SPR3	RECAP
Sat, Jul 20	SPR	@	COL	SPR1,COL4	RECAP
Sun, Jul 21	COL	@	IOW	COL3,IOW4 (OT)	RECAP
Wed, Jul 24	RCK	@	COL	RCK2,COL1	RECAP
Fri, Jul 26	COL	@	IOW	COL0,IOW1 (OT)	RECAP
Sat, Jul 27	MIL	@	COL	MIL3,COL4 (SO)	RECAP
Mon, Jul 29	RCK	@	COL	RCK4,COL2	RECAP
Thu, Aug 1	COL	@	CVF	COL5,CVF3	RECAP
Fri, Aug 2	UTA	@	COL	UTA4,COL2	RECAP
Mon, Aug 5	COL	@	TEX	COL4,TEX2	RECAP
Wed, Aug 7	RCH	@	COL	RCH3,COL7	RECAP
Thu, Aug 8	COL	@	MAN	COL2,MAN4	RECAP
Sat, Aug 10	UTA	@	COL	UTA3,COL9	RECAP
Tue, Aug 13	BRP	@	COL	BRP2,COL5	RECAP
Wed, Aug 14	COL	@	UTA	COL7,UTA0	RECAP
Fri, Aug 16	COL	@	LVP	COL1,LVP5	RECAP
Sun, Aug 18	COL	@	SDG	COL5,SDG3	RECAP
Tue, Aug 20	RCK	@	COL	RCK4,COL1	RECAP
Thu, Aug 22	TOR	@	COL	TOR4,COL2	RECAP
Sat, Aug 24	IOW	@	COL	IOW3,COL5	RECAP
Mon, Aug 26	COL	@	IOW	COL3,IOW5	RECAP
Wed, Aug 28	CGY	@	COL	CGY2,COL1	RECAP
Fri, Aug 30	COL	@	TEX	COL3,TEX2	RECAP
Sat, Aug 31	COL	@	UTA	COL5,UTA0	RECAP
Tue, Sep 3	LAV	@	COL	LAV1,COL5	RECAP
Wed, Sep 4	COL	@	BAK	COL2,BAK5	RECAP
Fri, Sep 6	SYR	@	COL	SYR3,COL1	RECAP
Mon, Sep 9	ABB	@	COL	ABB4,COL3 (OT)	RECAP
Tue, Sep 10	COL	@	GRP	COL1,GRP3	RECAP
Thu, Sep 12	SDG	@	COL	SDG1,COL7	RECAP
Sun, Sep 15	COL	@	ONT	COL6,ONT4	RECAP
Mon, Sep 16	COL	@	PRO	COL5,PRO2	RECAP
Tue, Sep 17	IOW	@	COL	IOW2,COL3 (OT)	RECAP
Thu, Sep 19	COL	@	HER	COL5,HER3	RECAP
Sat, Sep 21	SJB	@	COL	SJB2,COL4	RECAP
Mon, Sep 23	COL	@	TEX	COL4,TEX6	RECAP
Wed, Sep 25	COL	@	HEN	COL6,HEN2	RECAP
Fri, Sep 27	QUE	@	COL	QUE4,COL5 (OT)	RECAP
Sun, Sep 29	HEN	@	COL	HEN1,COL2	RECAP
Wed, Oct 2	CHA	@	COL	CHA4,COL5 (OT)	RECAP
Fri, Oct 4	COL	@	MIL	COL4,MIL2	RECAP
Sat, Oct 5	COL	@	UTI	COL0,UTI2	RECAP
Mon, Oct 7	MIL	@	COL	MIL3,COL2	RECAP
Thu, Oct 10	TEX	@	COL	TEX4,COL3 (OT)	RECAP
Fri, Oct 11	COL	@	MAN	COL1,MAN2	RECAP
Sun, Oct 13	COL	@	CGY	COL5,CGY6	RECAP
Tue, Oct 15	BAK	@	COL	BAK5,COL3	RECAP
Wed, Oct 16	COL	@	MIL	COL5,MIL2	RECAP
Sat, Oct 19	BEL	@	COL	BEL3,COL4	RECAP
Mon, Oct 21	CVF	@	COL	CVF6,COL4	RECAP
Thu, Oct 24	COL	@	SPR	COL5,SPR4 (OT)	RECAP
Fri, Oct 25	COL	@	WBS	COL3,WBS1	RECAP
Sat, Oct 26	CLE	@	COL	CLE5,COL6 (OT)	RECAP
Tue, Oct 29	TEX	@	COL	TEX1,COL3	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Thu, Oct 31	COL	@	SPR	COL10,SPR4	RECAP
Fri, Nov 1	MAN	@	COL	MAN2,COL4	RECAP
Sun, Nov 3	COL	@	MAN	COL4,MAN1	RECAP
Mon, Nov 4	COL	@	CLE	COL3,CLE2	RECAP
Thu, Nov 7	COL	@	BEL	COL2,BEL3 (SO)	RECAP
Fri, Nov 8	ONT	@	COL	ONT3,COL2 (SO)	RECAP
Mon, Nov 11	MAN	@	COL	MAN5,COL3	RECAP
Tue, Nov 12	COL	@	SJB	COL1,SJB2 (OT)	RECAP
Fri, Nov 15	ONT	@	COL	ONT3,COL4	RECAP
Sat, Nov 16	COL	@	BRP	COL3,BRP4 (OT)	RECAP
Mon, Nov 18	COL	@	RCK	COL4,RCK3	RECAP
Wed, Nov 20	COL	@	ABB
Thu, Nov 21	HFD	@	COL
Sun, Nov 24	COL	@	RCK
Mon, Nov 25	SPR	@	COL
Fri, Nov 29	SPR	@	COL

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
$3,266,091	$0	$0	$75,000,000

Arena	About us
	Name	Pepsi Center
	City	Colorado
	Capacity	9000
	Season Ticket Holders	30%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	6000	3000
Ticket Price	$25	$12	$	$	$
Attendance	178333	89800
Attendance PCT	78.22%	78.77%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
3	7056 - 78.40%	$174,819	$6,643,110	9000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
$3,266,091	$3,266,091	$0	$0

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
$3,236,163	$0	$3,236,163	$0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
$524,456	12	$20,161	$241,932

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
$241,932	$0	$0	$0

Sponsors
TV Rights	Primary Sponsor	Secondary Sponsor	Secondary Sponsor

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

No Injury or Suspension.

Game Center

Eagles44-25-8, 96pts

34Final

Islanders45-25-8, 98pts

Eagles44-25-8, 96pts

43Final

IceHogs40-32-6, 86pts

Eagles44-25-8, 96pts

Tue, Nov 19

IceHogs40-32-6, 86pts

Eagles44-25-8, 96pts

Thu, Jun 27

Admirals48-23-7, 103pts

Wild 36-33-8, 80pts

Sat, Jun 29

Eagles44-25-8, 96pts

TRANSACTIONS

Team Info


	Head Coach
	Division	PACIFIC DIVISION
	City	Colorado
	Stadium Capacity	9,000

Eagles Affiliation


	General Manager	Andrew Tsionas
	Head Coach
	Stadium	Pepsi Center
	Capacity	18,500

Team Leaders

GOALS Pontus Aberg Eagles	37 GOALS
POINTS MacKenzie Entwistle Eagles	74 POINTS
WINS Niklas Svedberg Eagles	38 WINS
Expanded Player Leaderboard

Team Stats

Goals For 278 3.61 GFG	Goals Against 233 3.03 GAA
Power Play Percentage 28.3% 67 GF	Penalty Kill Percentage 80.1% 55 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain