Eagles
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension

Game Center
	Blue Jackets 23-32-4, 50pts	1	FINAL	5	Avalanche 29-23-4, 62pts

Team Stats
W2	Streak	SOL1
12-13-3	Home Record	16-10-2
11-19-1	Away Record	13-13-2
6-4-0	Last 10 Games	6-2-2
2.93	Goals Per Game	3.50
3.27	Goals Against Per Game	3.38
19.76%	Power Play Percentage	24.05%
82.64%	Penalty Kill Percentage	78.71%

Avalanche
29-23-4, 62pts

FINAL

Maple Leafs
26-24-4, 56pts

Team Stats
SOL1	Streak	SOW1
16-10-2	Home Record	16-13-0
13-13-2	Away Record	10-11-4
6-2-2	Last 10 Games	5-5-0
3.50	Goals Per Game	3.61
3.38	Goals Against Per Game	3.61
24.05%	Power Play Percentage	24.20%
78.71%	Penalty Kill Percentage	81.36%

Kings
32-21-3, 67pts

2023-03-15

Avalanche
29-23-4, 62pts

Team Stats
W3	Streak	SOL1
16-11-2	Home Record	16-10-2
16-10-1	Away Record	13-13-2
7-3-0	Last 10 Games	6-2-2
3.25	Goals Per Game	3.50
3.14	Goals Against Per Game	3.50
18.47%	Power Play Percentage	24.05%
80.75%	Penalty Kill Percentage	78.71%

Avalanche
29-23-4, 62pts

2023-03-17

Panthers
22-21-11, 55pts

Team Stats
SOL1	Streak	L1
16-10-2	Home Record	12-12-5
13-13-2	Away Record	10-9-6
6-2-2	Last 10 Games	1-6-3
3.50	Goals Per Game	3.13
3.38	Goals Against Per Game	3.13
24.05%	Power Play Percentage	17.81%
78.71%	Penalty Kill Percentage	80.92%

Penguins
32-20-8, 72pts

2023-03-18

Avalanche
29-23-4, 62pts

Team Stats
L1	Streak	SOL1
18-7-3	Home Record	16-10-2
14-13-5	Away Record	13-13-2
5-3-2	Last 10 Games	6-2-2
3.58	Goals Per Game	3.50
3.17	Goals Against Per Game	3.50
17.48%	Power Play Percentage	24.05%
84.07%	Penalty Kill Percentage	78.71%

Team Leaders
	Goals Mikkel Boedker 36	Assists Bryan Little 51

	Points Mikkel Boedker 86	Plus/Minus Bryan Little 9

	Wins Semyon Varlamov 19	Save Percentage Marek Mazanek 0.901

Team Stats
Goals For 196 3.50 GFG	Shots For 1746 31.18 Avg	Power Play Percentage 24.0% 63 GF	Offensive Zone Start 37.7%
Goals Against 189 3.38 GAA	Shots Against 1669 29.80 Avg	Penalty Kill Percentage 78.7%% 56 GA	Defensive Zone Start 37.7%

Team Info
	General Manager	Christian Tanguay
	Coach	Mike Keenan
	Division	Ziegler
	Conference	Clarence Campbell
	Captain	Marc Staal
	Assistant #1	Mikkel Boedker
	Assistant #2	Jack Johnson
Arena Info
	Name	Pepsi Center
	Capacity	18,000
	Attendance	17,310
	Season Tickets	7,200
Roster Info
	Pro Team	22
	Farm Team	30
	Contract Limit	52 / 250
	Prospects	0
Salary Cap
	Estimated Season Salary Cap	61,168,924$
	Available Salary Cap	57,120,615$
	Special Salary Cap Value	0$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	39,321,973$
	Year To Date Expenses	43,084,474$
	Estimated Season Revenue	16,852,274$
	Estimated Season Expenses	18,812,580$
	Current Bank Account	55,289,539$
	Projected Bank Account	53,559,684$

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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Mikkel Boedker (A)		X			100.00	86	31	76	85	76	91	77	92	77	83	81	71	86	81	81	31	61	81	1	28	1	6,000,000$
2	Bryan Little	X				100.00	77	26	75	87	79	82	85	84	77	79	80	71	76	83	85	23	61	78	1	30	1	4,500,000$
3	Patric Hornqvist			X		100.00	77	41	78	78	78	78	80	83	67	78	91	72	84	81	68	24	61	78	1	30	4	5,500,000$
4	Charlie Coyle	X				100.00	75	33	95	77	79	87	80	79	76	85	74	77	71	71	50	42	61	77	0	25	2	3,000,000$
5	Luke Witkowski			X		100.00	73	44	81	80	78	78	72	79	58	83	74	84	69	71	54	28	61	76	0	27	2	2,750,000$
6	Pavel Buchnevich			X		100.00	70	46	86	80	74	82	79	77	75	81	79	66	74	54	48	56	61	75	0	22	2	2,200,000$
7	Vincent Trocheck	X				100.00	75	46	82	79	81	79	75	78	80	75	78	70	76	64	53	46	61	75	0	24	2	2,300,000$
8	Evgeny Dadonov			X		100.00	74	39	81	81	74	82	80	77	69	75	78	66	72	69	58	27	61	74	0	28	2	2,000,000$
9	James Van Riemsdyk		X			100.00	83	42	77	78	81	79	74	79	74	73	79	68	72	69	53	31	38	74	0	28	2	2,000,000$
10	Tomas Tatar		X			100.00	74	24	76	74	75	78	75	78	75	74	72	64	83	76	67	31	64	72	0	27	1	995,000$
11	Jack Johnson (A)				X	100.00	82	42	89	86	83	84	76	77	57	81	74	83	74	93	53	23	61	81	1	30	4	6,000,000$
12	Marc Staal (C)				X	100.00	81	37	90	79	81	76	79	73	62	78	74	86	75	91	58	24	38	79	1	30	1	5,300,000$
13	Erik Karlsson				X	100.00	77	31	78	82	78	90	84	77	65	80	84	73	71	80	50	37	61	78	1	27	3	5,000,000$
14	Colten Teubert				X	100.00	79	34	79	79	81	83	67	69	64	74	70	82	70	73	54	30	46	76	0	27	3	2,500,000$
15	Mattias Ekholm				X	100.00	72	35	73	81	81	80	71	73	63	76	75	80	68	71	60	30	29	75	0	27	1	1,700,000$
16	Stefan Elliott				X	100.00	75	31	76	77	75	76	76	81	51	80	68	80	56	75	50	33	49	75	0	26	1	1,300,000$
17	Jarred Tinordi				X	100.00	85	30	76	76	80	86	72	68	61	79	65	71	62	74	50	37	38	74	0	25	1	900,000$
18	Joel Edmundson				X	97.32	75	36	78	80	81	82	76	69	55	73	71	78	66	68	50	42	39	74	0	24	2	1,500,000$
Scratches
1	Daniel Carr		X			100.00	71	28	77	76	76	75	78	72	71	72	78	67	71	78	66	33	64	72	0	26	1	950,000$
2	Kyle Turris	X				100.00	77	25	78	78	73	79	80	76	74	71	74	69	79	67	53	27	61	72	0	28	1	900,000$
Farm Team
1	Jonathan Marchessault	X				100.00	80	19	79	73	71	72	75	74	69	77	71	64	63	74	70	26	39	71	0	27	1	900,000$
2	Nick Cousins (R)			X		100.00	67	33	79	75	74	70	75	77	76	84	71	60	65	57	51	42	49	71	0	24	1	975,000$
3	Drake Caggiula (R)	X				100.00	81	40	74	79	85	63	86	67	70	71	75	61	56	57	53	50	48	70	0	23	1	950,000$
4	Joseph Blandisi (R)		X			100.00	66	30	80	71	74	77	75	74	75	74	78	58	59	56	50	41	39	70	0	23	1	650,000$
5	Anthony Duclair (R)		X			100.00	65	31	80	79	78	72	75	73	60	63	81	60	77	50	49	52	48	69	0	22	1	800,000$
6	Jared McCann (R)	X				100.00	66	38	84	71	76	74	67	66	71	71	71	69	71	44	45	52	48	68	0	21	3	800,000$
7	Zach Aston-Reese (R)	X				100.00	73	45	78	73	64	72	75	69	73	64	76	57	65	52	53	43	45	68	0	23	3	600,000$
8	Tyler Motte (R)		X			100.00	81	32	66	70	74	61	77	71	60	65	64	68	55	45	46	42	48	66	0	22	1	500,000$
9	Michael Carcone (R)		X			100.00	72	35	70	54	75	67	66	59	66	70	83	49	59	47	48	67	48	64	0	21	2	500,000$
10	Sam Steel (R)	X				100.00	64	41	78	70	64	64	71	69	63	64	68	60	65	41	42	66	48	64	0	19	1	500,000$
11	Pius Suter (R)	X				100.00	64	34	80	67	76	74	75	67	61	52	77	48	71	44	45	57	48	64	0	21	1	500,000$
12	Matteson Iacopelli (R)			X		100.00	54	32	74	64	59	70	75	74	74	71	62	44	55	49	46	41	48	62	0	22	2	410,000$
13	Chris Calhan (R)			X		100.00	57	31	79	62	68	64	57	69	55	57	64	51	62	45	47	37	32	60	0	23	2	500,000$
14	Michael Dal Colle (R)		X			100.00	64	34	75	57	64	61	58	62	66	62	73	43	64	44	44	51	36	60	0	21	2	400,000$
15	Gabriel Vilardi (R)			X		100.00	54	29	77	75	47	58	54	71	62	59	63	50	72	40	40	84	36	60	0	18	2	500,000$
16	Dominik Kubalik (R)		X			100.00	52	24	69	53	53	60	58	61	54	54	67	50	57	44	44	38	36	56	0	22	2	475,000$
17	Marian Studenic (R)			X		100.00	55	37	75	52	52	61	59	53	52	48	72	34	56	41	42	55	31	54	0	19	2	500,000$
18	Pascal Laberge (R)	X				100.00	47	39	60	48	49	52	52	48	60	53	57	52	57	41	41	54	22	52	0	19	1	500,000$
19	John Ramage				X	100.00	72	23	82	71	64	74	75	70	48	70	65	77	51	70	59	30	48	70	0	26	1	700,000$
20	Jonathan Racine (R)				X	100.00	86	65	65	64	80	55	83	58	38	53	43	63	39	47	48	37	48	65	0	24	2	550,000$
21	Xavier Ouellet (R)				X	100.00	59	33	75	71	60	68	69	67	48	63	69	58	54	49	50	38	49	64	0	24	2	600,000$
22	Keaton Middleton (R)				X	100.00	68	33	66	61	66	70	50	54	42	68	56	69	37	42	42	69	48	62	0	19	1	500,000$
23	Mark Friedman (R)				X	100.00	69	36	81	56	53	57	61	71	35	70	59	49	50	43	43	48	36	60	0	21	1	300,000$
24	Max Lajoie (R)				X	100.00	56	47	64	59	60	58	68	58	42	68	53	60	62	43	44	51	48	59	0	20	1	500,000$
25	Walker Duehr (R)			X		100.00	53	30	64	46	50	46	49	46	50	49	59	51	55	43	44	46	20	50	0	20	2	500,000$
26	Ryan Murphy (R)				X	77.84	68	29	77	74	73	73	71	74	57	74	67	75	50	62	50	39	16	71	0	24	3	800,000$
27	Connor Carrick (R)				X	93.74	68	23	80	79	70	69	74	73	45	75	60	73	60	54	49	46	26	70	0	23	1	550,000$

	TEAM AVERAGE					99.34	70	35	77	72	71	72	72	71	62	70	71	64	65	60	52	42	46	69

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Semyon Varlamov	100.00	74	79	86	73	75	82	85	67	72	85	75	75	67	26	61	77	1	29	1	3,000,000$
2	Marek Mazanek	100.00	81	74	78	78	81	74	71	71	78	75	80	75	76	33	61	76	0	26	1	1,500,000$
Scratches
Farm Team
1	Adin Hill	97.00	74	60	72	75	81	65	66	66	68	55	78	43	45	61	23	68	0	21	2	800,000$
2	Antoine Bibeau	100.00	67	69	59	64	68	66	64	76	76	64	64	47	49	40	47	67	0	23	3	700,000$
3	Jamie Phillips	100.00	77	68	81	58	58	79	73	59	55	77	63	48	46	31	39	65	0	24	1	500,000$

	TEAM AVERAGE	99.40	75	70	75	70	73	73	72	68	70	71	72	58	57	38	46	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Keenan	86	74	84	71	99	73	43	CAN	64	1	600,000$

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	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	FT	S1	S2	S3
1	Mikkel Boedker	Avalanche	LW	56	36	50	86	8	66	0	104	67	251	78	169	14.34%	26	1280	22.87	13	20	33	45	231	0	2	2	3	97	3	2	52.79%	269	61	20	2	3	1.34	4	10	0	9	4	4
2	Bryan Little	Avalanche	C	56	24	51	75	9	54	0	98	123	206	79	148	11.65%	31	1253	22.38	7	26	33	36	230	1	1	2	3	116	2	3	49.21%	1646	46	17	0	0	1.20	2	10	0	4	3	10
3	Patric Hornqvist	Avalanche	RW	56	23	27	50	8	46	0	83	62	173	48	86	13.29%	37	1133	20.24	10	10	20	39	228	0	0	0	1	28	6	1	45.98%	87	28	15	0	1	0.88	4	7	0	3	3	2
4	Charlie Coyle	Avalanche	C	56	21	19	40	7	2	0	58	99	139	34	76	15.11%	24	1072	19.16	6	10	16	20	178	0	2	2	6	187	2	3	47.79%	839	19	17	0	0	0.75	3	4	0	3	5	0
5	Luke Witkowski	Avalanche	RW	56	17	20	37	7	32	0	62	51	123	36	65	13.82%	23	881	15.74	9	4	13	19	132	2	0	2	6	127	2	2	48.28%	58	24	13	0	0	0.84	0	1	0	3	2	2
6	Jack Johnson	Avalanche	D	56	8	24	32	4	14	0	81	107	104	39	45	7.69%	99	1597	28.53	4	10	14	17	252	1	0	1	5	240	2	0	0.00%	0	48	55	0	0	0.40	0	0	0	1	1	2
7	Erik Karlsson	Avalanche	D	56	5	20	25	-1	38	0	61	79	71	36	24	7.04%	51	1268	22.66	4	7	11	14	207	0	0	0	1	173	0	1	0.00%	0	33	37	0	0	0.39	0	0	0	0	1	1
8	Vincent Trocheck	Avalanche	C	56	7	16	23	-14	12	0	36	60	103	40	69	6.80%	6	634	11.33	2	0	2	2	8	0	0	0	0	0	1	0	51.18%	340	19	10	0	0	0.72	0	0	0	0	0	0
9	James Van Riemsdyk	Avalanche	LW	44	7	15	22	-3	46	0	83	56	76	28	49	9.21%	22	698	15.88	2	7	9	16	144	0	0	0	2	41	0	2	44.83%	29	16	16	0	0	0.63	0	0	0	1	3	0
10	Pavel Buchnevich	Avalanche	RW	56	14	7	21	-11	6	0	56	37	95	27	55	14.74%	14	683	12.21	0	4	4	9	50	0	0	0	0	0	1	2	47.83%	23	23	13	0	0	0.61	0	0	0	0	1	2
11	Marc Staal	Avalanche	D	43	2	16	18	2	13	5	53	73	66	27	21	3.03%	59	1155	26.87	2	3	5	15	168	0	2	2	3	176	0	0	0.00%	0	19	47	0	0	0.31	0	0	1	1	0	2
12	Tomas Tatar	Avalanche	LW	55	5	12	17	7	24	0	52	22	70	18	38	7.14%	8	585	10.65	0	0	0	2	32	0	0	0	0	2	0	0	64.71%	17	9	9	0	0	0.58	0	0	0	2	0	0
13	Evgeny Dadonov	Avalanche	RW	56	6	5	11	-12	10	0	48	46	68	22	35	8.82%	11	531	9.49	1	0	1	1	4	1	0	1	4	98	0	0	40.00%	50	10	12	0	0	0.41	0	0	0	0	0	0
14	Colten Teubert	Avalanche	D	51	1	9	10	-6	52	0	50	81	34	17	15	2.94%	66	1058	20.76	0	2	2	2	146	0	0	0	1	138	0	0	0.00%	0	7	24	0	0	0.19	0	0	0	0	1	0
15	Mattias Ekholm	Avalanche	D	40	4	5	9	-10	28	0	37	55	25	6	8	16.00%	34	645	16.13	3	0	3	4	49	0	0	0	0	60	1	0	0.00%	0	8	25	0	0	0.28	0	0	0	0	0	0
16	Daniel Carr	Avalanche	LW	55	4	3	7	-23	28	0	55	35	61	16	35	6.56%	8	568	10.33	0	0	0	0	1	0	0	0	0	61	0	1	30.77%	13	18	9	0	0	0.25	0	0	0	0	0	1
17	Kyle Turris	Avalanche	C	55	2	4	6	-8	10	0	39	25	36	12	32	5.56%	15	419	7.63	0	0	0	0	0	0	1	1	1	62	0	0	45.74%	129	9	4	0	0	0.29	0	0	0	0	0	0
18	Stefan Elliott	Avalanche	D	50	2	4	6	-1	28	0	26	43	33	9	10	6.06%	32	577	11.55	0	0	0	0	7	0	0	0	0	4	1	0	0.00%	0	3	10	0	0	0.21	0	0	0	1	0	0
19	Joel Edmundson	Avalanche	D	42	0	4	4	-2	14	0	18	25	11	3	3	0.00%	14	379	9.04	0	0	0	0	0	0	0	0	0	20	0	0	0.00%	0	3	6	0	0	0.21	0	0	0	0	0	0
20	Jarred Tinordi	Avalanche	D	13	0	1	1	4	8	0	20	8	1	4	0	0.00%	8	149	11.46	0	0	0	0	0	0	0	0	0	12	0	0	0.00%	0	0	9	0	0	0.13	0	0	0	0	0	0
Team Total or Average				1008	188	312	500	-35	531	5	1120	1154	1746	579	983	10.77%	588	16576	16.44	63	103	166	241	2076	5	8	13	36	1650	21	17	48.94%	3500	403	368	2	4	0.60	13	32	1	28	24	26

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	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Semyon Varlamov	Avalanche	41	19	15	3	0.883	3.48	2348	0	136	1164	540	1	1	0.840	25	41	15	1	2	2
2	Marek Mazanek	Avalanche	20	10	8	1	0.901	2.84	1058	1	50	504	232	1	0	1.000	7	15	41	1	1	2
Team Total or Average			61	29	23	4	0.888	3.28	3407	1	186	1668	772	2	1		32	56	56	2	3	4

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	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Bryan Little	Avalanche	C	30	1987-01-01	No	185 Lbs	5 ft11	No	No	No	1	Pro Only	4,500,000$	1,356,784$	4,500,000$	1,356,784$	No
Charlie Coyle	Avalanche	C	25	1992-01-01	No	221 Lbs	6 ft3	No	No	No	2	Pro Only	3,000,000$	904,523$	3,000,000$	904,523$	No	3,500,000$
Colten Teubert	Avalanche	D	27	1990-01-01	No	195 Lbs	6 ft4	No	No	No	3	Pro Only	2,500,000$	753,769$	2,500,000$	753,769$	No	2,750,000$	3,000,000$
Daniel Carr	Avalanche	LW	26	1991-01-01	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	950,000$	286,432$	950,000$	286,432$	No
Erik Karlsson	Avalanche	D	27	1990-01-01	No	180 Lbs	6 ft0	No	No	No	3	Pro Only	5,000,000$	1,507,538$	5,000,000$	1,507,538$	No	5,000,000$	5,000,000$		Link
Evgeny Dadonov	Avalanche	RW	28	1989-01-01	No	178 Lbs	5 ft10	No	No	No	2	Pro Only	2,000,000$	603,015$	2,000,000$	603,015$	No	2,000,000$
Jack Johnson	Avalanche	D	30	1987-01-01	No	218 Lbs	6 ft0	No	No	No	4	Pro Only	6,000,000$	1,809,045$	6,000,000$	1,809,045$	No	5,000,000$	4,000,000$	3,000,000$
James Van Riemsdyk	Avalanche	LW	28	1989-01-01	No	190 Lbs	6 ft3	No	No	No	2	Pro Only	2,000,000$	603,015$	2,000,000$	603,015$	No	2,250,000$
Jarred Tinordi	Avalanche	D	25	1992-01-01	No	225 Lbs	6 ft6	No	No	No	1	Pro & Farm	900,000$	271,357$	900,000$	271,357$	No
Joel Edmundson	Avalanche	D	24	1993-01-01	No	207 Lbs	6 ft4	No	No	No	2	Pro Only	1,500,000$	452,261$	1,500,000$	452,261$	No	1,750,000$
Kyle Turris	Avalanche	C	28	1989-01-01	No	185 Lbs	6 ft1	No	No	No	1	Pro Only	900,000$	271,357$	900,000$	271,357$	No
Luke Witkowski	Avalanche	RW	27	1990-01-01	No	200 Lbs	6 ft2	No	No	No	2	Pro Only	2,750,000$	829,146$	2,750,000$	829,146$	No	3,000,000$
Marc Staal	Avalanche	D	30	1987-01-01	No	209 Lbs	6 ft4	No	No	No	1	Pro Only	5,300,000$	1,597,990$	5,300,000$	1,597,990$	No
Marek Mazanek	Avalanche	G	26	1991-01-01	No	187 Lbs	6 ft4	No	No	No	1	Pro Only	1,500,000$	452,261$	1,500,000$	452,261$	No
Mattias Ekholm	Avalanche	D	27	1990-01-01	No	204 Lbs	6 ft4	No	No	No	1	Pro Only	1,700,000$	512,563$	1,700,000$	512,563$	No
Mikkel Boedker	Avalanche	LW	28	1989-01-01	No	206 Lbs	6 ft0	No	No	No	1	Pro Only	6,000,000$	1,809,045$	6,000,000$	1,809,045$	No
Patric Hornqvist	Avalanche	RW	30	1987-01-01	No	188 Lbs	5 ft11	No	No	No	4	Pro Only	5,500,000$	1,658,291$	5,500,000$	1,658,291$	No	4,500,000$	4,000,000$	3,000,000$
Pavel Buchnevich	Avalanche	RW	22	1995-01-01	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	2,200,000$	663,317$	2,200,000$	663,317$	No	3,000,000$			Link
Semyon Varlamov	Avalanche	G	29	1988-01-01	No	209 Lbs	6 ft2	No	No	No	1	Pro Only	3,000,000$	904,523$	3,000,000$	904,523$	No
Stefan Elliott	Avalanche	D	26	1991-01-01	No	190 Lbs	6 ft1	No	No	No	1	Pro Only	1,300,000$	391,960$	1,300,000$	391,960$	No
Tomas Tatar	Avalanche	LW	27	1990-01-01	No	186 Lbs	5 ft10	No	No	No	1	Pro & Farm	995,000$	300,000$	995,000$	300,000$	No
Vincent Trocheck	Avalanche	C	24	1993-01-01	No	182 Lbs	5 ft10	No	No	No	2	Pro Only	2,300,000$	693,467$	2,300,000$	693,467$	No	3,000,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	27.00	196 Lbs	6 ft1	1.77	2,808,864$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
61,795,000$	35,750,000$	16,000,000$	6,000,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Mikkel Boedker	Bryan Little	Patric Hornqvist	40	1	2	2
2	James Van Riemsdyk	Charlie Coyle	Luke Witkowski	30	1	2	2
3	Tomas Tatar	Vincent Trocheck	Pavel Buchnevich	20	1	2	2
4	Bryan Little	Mikkel Boedker	Evgeny Dadonov	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Johnson	Marc Staal	40	1	2	2
2	Erik Karlsson	Colten Teubert	30	1	2	2
3	Mattias Ekholm	Stefan Elliott	20	1	2	2
4	Jarred Tinordi	Joel Edmundson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Mikkel Boedker	Bryan Little	Patric Hornqvist	60	1	2	2
2	James Van Riemsdyk	Charlie Coyle	Luke Witkowski	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Johnson	Marc Staal	60	1	2	2
2	Erik Karlsson	Colten Teubert	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mikkel Boedker	Bryan Little	60	1	2	2
2	Patric Hornqvist	Charlie Coyle	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Johnson	Marc Staal	60	1	2	2
2	Erik Karlsson	Colten Teubert	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mikkel Boedker	60	1	2	2	Jack Johnson	Marc Staal	60	1	2	2
2	Bryan Little	40	1	2	2	Erik Karlsson	Colten Teubert	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Mikkel Boedker	Bryan Little	60	1	2	2
2	Patric Hornqvist	Charlie Coyle	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jack Johnson	Marc Staal	60	1	2	2
2	Erik Karlsson	Colten Teubert	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Mikkel Boedker	Bryan Little	Patric Hornqvist	Jack Johnson	Marc Staal

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Mikkel Boedker	Bryan Little	Patric Hornqvist	Jack Johnson	Marc Staal

Extra Forwards
Normal	PowerPlay	Penalty Kill
Vincent Trocheck, Pavel Buchnevich, Evgeny Dadonov	Vincent Trocheck, Pavel Buchnevich	Evgeny Dadonov

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mattias Ekholm, Stefan Elliott, Jarred Tinordi	Mattias Ekholm	Stefan Elliott, Jarred Tinordi

Penalty Shots
Mikkel Boedker, Bryan Little, Patric Hornqvist, Charlie Coyle, Luke Witkowski

Goalie
#1 : Semyon Varlamov, #2 : Marek Mazanek

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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

	Overall												Home											Visitor
#	VS Team	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	Blackhawks	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	28	8	10	10	0	35	12	6	19	3	0	0.00%	3	2	33.33%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	21	12	23	8	15	7
2	Blue Jackets	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	3	1	1	0	34	15	11	8	0	19	11	6	17	6	2	33.33%	3	0	100.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	22	13	20	9	17	9
3	Blues	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	6	11	17	0	0	2	1	3	0	48	12	14	22	0	72	19	32	43	9	4	44.44%	16	5	68.75%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	37	19	48	20	33	15
4	Bruins	2	1	1	0	0	0	0	0	11	8	3	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	11	8	3	2	0.500	11	18	29	1	0	3	5	3	0	76	30	31	15	0	55	20	14	42	9	2	22.22%	7	0	100.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	45	27	41	17	33	16
5	Canadiens	3	2	0	0	0	0	1	0	13	5	8	2	1	0	0	0	0	1	0	8	3	5	1	1	0	0	0	0	0	0	5	2	3	6	1.000	13	19	32	0	1	2	3	7	1	79	26	22	30	4	79	33	20	71	17	5	29.41%	10	2	80.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	64	34	65	29	55	29
6	Canucks	3	1	1	0	0	0	1	0	9	9	0	1	0	1	0	0	0	0	0	2	5	-3	2	1	0	0	0	0	1	0	7	4	3	4	0.667	9	13	22	0	0	1	3	4	2	89	26	33	30	2	109	37	24	69	12	4	33.33%	12	2	83.33%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	64	36	69	27	51	24
7	Capitals	4	0	4	0	0	0	0	0	9	18	-9	2	0	2	0	0	0	0	0	7	10	-3	2	0	2	0	0	0	0	0	2	8	-6	0	0.000	9	13	22	0	0	2	4	3	0	108	26	39	43	0	115	32	36	78	11	3	27.27%	18	4	77.78%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	81	45	87	37	71	34
8	Devils	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	6	11	17	0	0	3	1	2	0	52	21	12	19	0	61	25	26	37	5	2	40.00%	13	1	92.31%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	38	20	45	20	35	16
9	Flames	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	7	12	0	0	3	1	1	0	28	8	6	14	0	29	13	6	19	8	3	37.50%	3	0	100.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	20	10	20	9	18	9
10	Flyers	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	0	0	2	0	36	13	10	13	0	26	18	8	18	4	1	25.00%	4	0	100.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	22	13	21	8	15	7
11	Golden Knights	2	0	1	0	0	1	0	0	8	11	-3	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	1	0	0	8	11	-3	1	0.250	8	12	20	0	0	2	3	3	0	76	20	28	28	0	66	15	14	41	8	3	37.50%	7	4	42.86%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	44	28	43	17	33	16
12	Islanders	2	1	1	0	0	0	0	0	8	6	2	2	1	1	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	2	0.500	8	15	23	0	0	1	4	3	0	74	14	33	27	0	54	17	24	39	8	2	25.00%	12	4	66.67%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	44	26	41	17	33	16
13	Jets	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	0	1	0	0	31	14	6	11	3	29	12	6	28	2	0	0.00%	3	0	100.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	22	12	22	9	19	9
14	Kings	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	5	4	1	2	1.000	5	8	13	0	0	2	0	2	1	38	16	5	15	5	35	17	6	27	6	3	50.00%	3	0	100.00%	1	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	24	13	21	10	19	9
15	Lightning	5	2	2	0	0	0	1	0	17	19	-2	2	2	0	0	0	0	0	0	8	4	4	3	0	2	0	0	0	1	0	9	15	-6	6	0.600	17	27	44	0	0	5	6	5	2	168	56	62	43	10	163	55	54	85	35	6	17.14%	27	8	70.37%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	107	60	109	48	87	43
16	Maple Leafs	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	4	7	0	0	1	2	0	1	24	12	7	4	6	27	8	10	19	1	0	0.00%	5	1	80.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	21	10	23	10	20	9
17	Oilers	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	8	1	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	14	22	0	0	5	1	2	0	37	15	10	12	0	25	13	12	18	2	0	0.00%	6	1	83.33%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	21	13	20	9	17	8
18	Panthers	5	0	5	0	0	0	0	0	13	19	-6	2	0	2	0	0	0	0	0	7	9	-2	3	0	3	0	0	0	0	0	6	10	-4	0	0.000	13	24	37	0	0	4	5	4	0	168	60	64	44	0	148	54	52	99	26	4	15.38%	26	8	69.23%	1	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	109	65	108	46	81	39
19	Penguins	4	2	1	0	0	1	0	0	14	13	1	3	2	0	0	0	1	0	0	11	9	2	1	0	1	0	0	0	0	0	3	4	-1	5	0.625	14	26	40	0	0	3	5	6	0	111	36	37	38	0	121	49	56	62	18	4	22.22%	28	4	85.71%	1	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	79	43	89	40	71	33
20	Predators	1	0	0	0	0	0	1	0	5	4	1	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	7	12	0	0	1	2	1	1	27	13	11	3	2	37	10	2	18	3	1	33.33%	1	0	100.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	20	11	24	9	19	9
21	Rangers	4	1	1	0	1	0	1	0	14	11	3	3	1	1	0	0	0	1	0	10	8	2	1	0	0	0	1	0	0	0	4	3	1	6	0.750	14	20	34	0	0	4	5	3	3	126	46	45	33	6	111	37	40	77	29	5	17.24%	20	3	85.00%	1	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	91	50	80	38	74	38
22	Red Wings	3	0	2	0	0	0	1	0	7	10	-3	1	0	1	0	0	0	0	0	2	4	-2	2	0	1	0	0	0	1	0	5	6	-1	2	0.333	7	9	16	0	0	3	2	1	1	100	33	42	24	5	91	33	20	44	6	1	16.67%	10	1	90.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	66	38	65	26	53	26
23	Senateurs	2	1	0	0	0	0	1	0	9	7	2	1	0	0	0	0	0	1	0	6	5	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	14	23	0	0	2	3	3	1	61	18	20	23	2	56	19	28	49	11	2	18.18%	14	4	71.43%	1	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	44	24	43	20	37	18
24	Sharks	2	1	0	0	1	0	0	0	9	5	4	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	9	11	20	0	0	3	1	4	1	64	16	9	38	1	61	16	15	50	11	3	27.27%	5	0	100.00%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	43	23	40	18	37	18
25	Stars	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	16	25	0	0	1	3	5	0	63	24	15	24	0	45	13	14	51	12	3	25.00%	7	2	71.43%	0	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	45	25	39	18	34	18
	Total	56	19	23	0	2	2	8	2	196	189	7	28	11	10	0	1	1	4	1	107	90	17	28	8	13	0	1	1	4	1	89	99	-10	62	0.554	196	312	508	1	1	56	62	68	14	1746	578	582	571	46	1669	588	531	1120	262	63	24.05%	263	56	78.71%	5	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	1207	680	1216	533	990	488
	_Since Last GM Reset	56	19	23	0	2	2	8	2	196	189	7	28	11	10	0	1	1	4	1	107	90	17	28	8	13	0	1	1	4	1	89	99	-10	62	0.554	196	312	508	1	1	56	62	68	14	1746	578	582	571	46	1669	588	531	1120	262	63	24.05%	263	56	78.71%	5	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	1207	680	1216	533	990	488
	_Vs Conference	37	11	20	0	1	2	3	0	124	137	-13	18	8	8	0	0	1	1	0	67	62	5	19	3	12	0	1	1	2	0	57	75	-18	32	0.432	124	206	330	1	0	31	45	44	7	1159	371	413	366	18	1120	373	386	723	182	42	23.08%	193	45	76.68%	3	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	790	447	805	351	642	315
	_Vs Division	18	5	9	0	1	1	2	0	58	62	-4	10	5	3	0	0	1	1	0	36	30	6	8	0	6	0	1	0	1	0	22	32	-10	17	0.472	58	97	155	0	0	16	21	18	5	573	198	208	158	16	543	195	202	323	108	19	17.59%	101	23	77.23%	3	635	1320	48.11%	655	1319	49.66%	423	861	49.13%	388	219	388	174	314	155

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
56	62	SOL1	196	312	508	1746	1669	588	531	1120	1	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
56	19	23	2	2	8	2	196	189

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	11	10	1	1	4	1	107	90

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	8	13	1	1	4	1	89	99

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	2	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
262	63	24.05%	263	56	78.71%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
578	582	571	46	56	62	68	14

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
635	1320	48.11%	655	1319	49.66%	423	861	49.13%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1207	680	1216	533	990	488

Last Played Games 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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link
1 - 2022-10-27	3	Avalanche	3	Penguins	4	AL			R1	BoxScore
2 - 2022-10-28	10	Avalanche	1	Panthers	3	AL			R1	BoxScore
4 - 2022-10-30	23	Penguins	4	Avalanche	3	BL	X			BoxScore
7 - 2022-11-02	35	Avalanche	3	Lightning	8	AL				BoxScore
9 - 2022-11-04	46	Lightning	3	Avalanche	5	BW				BoxScore
11 - 2022-11-06	58	Avalanche	4	Rangers	3	AW	X		R1	BoxScore
15 - 2022-11-10	73	Panthers	3	Avalanche	2	BL			R1	BoxScore
18 - 2022-11-13	88	Avalanche	2	Golden Knights	4	AL				BoxScore
20 - 2022-11-15	100	Penguins	4	Avalanche	5	BW			R1	BoxScore
21 - 2022-11-16	110	Avalanche	3	Panthers	4	AL			R1	BoxScore
25 - 2022-11-20	127	Rangers	4	Avalanche	5	BW	X	X		BoxScore
28 - 2022-11-23	145	Capitals	4	Avalanche	2	BL				BoxScore
30 - 2022-11-25	157	Avalanche	7	Bruins	2	AW				BoxScore
32 - 2022-11-27	171	Panthers	6	Avalanche	5	BL			R1	BoxScore
34 - 2022-11-29	178	Avalanche	3	Canucks	2	AW	X	X		BoxScore
37 - 2022-12-02	198	Avalanche	4	Red Wings	3	AW	X	X		BoxScore
38 - 2022-12-03	205	Rangers	3	Avalanche	2	BL			R1	BoxScore
43 - 2022-12-08	226	Sharks	4	Avalanche	5	BW	X			BoxScore
48 - 2022-12-13	246	Canadiens	0	Avalanche	4	BW				BoxScore
52 - 2022-12-17	267	Lightning	1	Avalanche	3	BW				BoxScore
54 - 2022-12-19	279	Avalanche	1	Capitals	2	AL				BoxScore
56 - 2022-12-21	289	Avalanche	3	Lightning	5	AL				BoxScore
58 - 2022-12-23	301	Penguins	1	Avalanche	3	BW			R1	BoxScore
60 - 2022-12-25	314	Avalanche	4	Sharks	1	AW				BoxScore
63 - 2022-12-28	326	Islanders	3	Avalanche	2	BL				BoxScore
66 - 2022-12-31	343	Stars	2	Avalanche	4	BW				BoxScore
68 - 2023-01-02	357	Avalanche	0	Devils	4	AL				BoxScore
70 - 2023-01-04	368	Devils	3	Avalanche	6	BW				BoxScore
72 - 2023-01-06	376	Avalanche	2	Flyers	1	AW				BoxScore
76 - 2023-01-10	397	Rangers	1	Avalanche	3	BW			R1	BoxScore
80 - 2023-01-14	419	Jets	2	Avalanche	1	BL	X	X		BoxScore
82 - 2023-01-16	434	Avalanche	1	Capitals	6	AL				BoxScore
84 - 2023-01-18	443	Predators	4	Avalanche	5	BW	X	X		BoxScore
86 - 2023-01-20	450	Avalanche	5	Kings	4	AW	X	X		BoxScore
88 - 2023-01-22	458	Avalanche	5	Flames	4	AW				BoxScore
91 - 2023-01-25	471	Avalanche	4	Bruins	6	AL				BoxScore
92 - 2023-01-26	482	Blues	6	Avalanche	4	BL				BoxScore
95 - 2023-01-29	499	Avalanche	3	Lightning	2	AW	X	X		BoxScore
96 - 2023-01-30	506	Canucks	5	Avalanche	2	BL				BoxScore
99 - 2023-02-02	520	Avalanche	2	Panthers	3	AL			R1	BoxScore
102 - 2023-02-05	531	Capitals	6	Avalanche	5	BL				BoxScore
104 - 2023-02-07	545	Avalanche	5	Canadiens	2	AW				BoxScore
106 - 2023-02-09	557	Senateurs	5	Avalanche	6	BW	X	X		BoxScore
110 - 2023-02-13	577	Canadiens	3	Avalanche	4	BW	X	X		BoxScore
113 - 2023-02-16	595	Avalanche	2	Blues	5	AL				BoxScore
115 - 2023-02-18	605	Blackhawks	4	Avalanche	0	BL				BoxScore
118 - 2023-02-21	620	Avalanche	5	Stars	3	AW				BoxScore
120 - 2023-02-23	631	Red Wings	4	Avalanche	2	BL				BoxScore
124 - 2023-02-27	648	Avalanche	4	Canucks	2	AW				BoxScore
125 - 2023-02-28	658	Oilers	1	Avalanche	8	BW				BoxScore
128 - 2023-03-03	671	Avalanche	3	Senateurs	2	AW				BoxScore
130 - 2023-03-05	682	Islanders	3	Avalanche	6	BW				BoxScore
132 - 2023-03-07	697	Avalanche	1	Red Wings	3	AL				BoxScore
134 - 2023-03-09	709	Avalanche	6	Golden Knights	7	AL	X			BoxScore
135 - 2023-03-10	715	Blue Jackets	1	Avalanche	5	BW				BoxScore
138 - 2023-03-13	730	Avalanche	3	Maple Leafs	4	AL	X	X		BoxScore
140 - 2023-03-15	740	Kings	-	Avalanche	-
142 - 2023-03-17	757	Avalanche	-	Panthers	-
143 - 2023-03-18	765	Penguins	-	Avalanche	-
146 - 2023-03-21	778	Avalanche	-	Blue Jackets	-
150 - 2023-03-25	793	Panthers	-	Avalanche	-
151 - 2023-03-26	805	Avalanche	-	Penguins	-
154 - 2023-03-29	816	Avalanche	-	Predators	-
156 - 2023-03-31	823	Golden Knights	-	Avalanche	-
159 - 2023-04-03	842	Bruins	-	Avalanche	-
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2023-04-05	851	Avalanche	-	Jets	-
164 - 2023-04-08	866	Avalanche	-	Oilers	-
165 - 2023-04-09	876	Stars	-	Avalanche	-
170 - 2023-04-14	897	Flames	-	Avalanche	-
172 - 2023-04-16	907	Avalanche	-	Penguins	-
173 - 2023-04-17	915	Avalanche	-	Islanders	-
175 - 2023-04-19	925	Avalanche	-	Blues	-
178 - 2023-04-22	934	Maple Leafs	-	Avalanche	-
181 - 2023-04-25	950	Flyers	-	Avalanche	-
184 - 2023-04-28	971	Devils	-	Avalanche	-
186 - 2023-04-30	984	Avalanche	-	Blackhawks	-
187 - 2023-05-01	986	Avalanche	-	Rangers	-
192 - 2023-05-06	1007	Devils	-	Avalanche	-
196 - 2023-05-10	1027	Lightning	-	Avalanche	-
197 - 2023-05-11	1034	Avalanche	-	Rangers	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	161,415	133,987	54,950	107,298	27,033
Attendance PCT	96.08%	95.71%	98.13%	95.80%	96.55%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
12	17310 - 96.17%	1,404,356$	39,321,973$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
43,084,474$	61,795,000$	46,445,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
310,528$	42,537,244$	0$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
16,852,274$	60	313,543$	18,812,580$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
19,565,861$	55,289,539$	53,559,684$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
61,168,924$	57,120,615$	118,289,539$	26,168,924$

Depth Chart

Left Wing

Center

Right Wing

Mikkel Boedker	AGE:28	PO:31	OV:81
James Van Riemsdyk	AGE:28	PO:31	OV:74
Daniel Carr	AGE:26	PO:33	OV:72
Tomas Tatar	AGE:27	PO:31	OV:72
Joseph Blandisi (R)	AGE:23	PO:41	OV:70
Anthony Duclair (R)	AGE:22	PO:52	OV:69
Tyler Motte (R)	AGE:22	PO:42	OV:66
Michael Carcone (R)	AGE:21	PO:67	OV:64
Michael Dal Colle (R)	AGE:21	PO:51	OV:60
Dominik Kubalik (R)	AGE:22	PO:38	OV:56

Bryan Little	AGE:30	PO:23	OV:78
Charlie Coyle	AGE:25	PO:42	OV:77
Vincent Trocheck	AGE:24	PO:46	OV:75
Kyle Turris	AGE:28	PO:27	OV:72
Jonathan Marchessault	AGE:27	PO:26	OV:71
Drake Caggiula (R)	AGE:23	PO:50	OV:70
Jared McCann (R)	AGE:21	PO:52	OV:68
Zach Aston-Reese (R)	AGE:23	PO:43	OV:68
Sam Steel (R)	AGE:19	PO:66	OV:64
Pius Suter (R)	AGE:21	PO:57	OV:64
Pascal Laberge (R)	AGE:19	PO:54	OV:52

Patric Hornqvist	AGE:30	PO:24	OV:78
Luke Witkowski	AGE:27	PO:28	OV:76
Pavel Buchnevich	AGE:22	PO:56	OV:75
Evgeny Dadonov	AGE:28	PO:27	OV:74
Nick Cousins (R)	AGE:24	PO:42	OV:71
Matteson Iacopelli (R)	AGE:22	PO:41	OV:62
Gabriel Vilardi (R)	AGE:18	PO:84	OV:60
Chris Calhan (R)	AGE:23	PO:37	OV:60
Marian Studenic (R)	AGE:19	PO:55	OV:54
Walker Duehr (R)	AGE:20	PO:46	OV:50

Defense #1

Defense #2

Goalie

Jack Johnson	AGE:30	PO:23	OV:81
Marc Staal	AGE:30	PO:24	OV:79
Erik Karlsson	AGE:27	PO:37	OV:78
Colten Teubert	AGE:27	PO:30	OV:76
Stefan Elliott	AGE:26	PO:33	OV:75
Mattias Ekholm	AGE:27	PO:30	OV:75
Joel Edmundson	AGE:24	PO:42	OV:74
Jarred Tinordi	AGE:25	PO:37	OV:74

Ryan Murphy (R)	AGE:24	PO:39	OV:71
Connor Carrick (R)	AGE:23	PO:46	OV:70
John Ramage	AGE:26	PO:30	OV:70
Jonathan Racine (R)	AGE:24	PO:37	OV:65
Xavier Ouellet (R)	AGE:24	PO:38	OV:64
Keaton Middleton (R)	AGE:19	PO:69	OV:62
Mark Friedman (R)	AGE:21	PO:48	OV:60
Max Lajoie (R)	AGE:20	PO:51	OV:59

Semyon Varlamov	AGE:29	PO:26	OV:77
Marek Mazanek	AGE:26	PO:33	OV:76
Adin Hill	AGE:21	PO:61	OV:68
Antoine Bibeau	AGE:23	PO:40	OV:67
Jamie Phillips	AGE:24	PO:31	OV:65

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick	Information	Lien

Draft Picks

Year	R1	R2	R3	R4	R5
3
4
5
6
7

Avalanche Trade History

[2023-03-13 10:16:32 PM] - New Record for Team's Most Points (22) in 1 Game for Avalanche!
[2023-03-13 10:16:32 PM] - New Record for Team's Most Assists (14) in 1 Game for Avalanche!
[2023-03-13 10:16:32 PM] - New Record for Team's Most Goals (8) in 1 Game for Avalanche!
[2023-03-12 7:17:02 PM] - New Record for Team's Most Shots Blocked (21) in 1 Game for Avalanche!
[2023-01-20 9:03:18 PM] - Jamie Phillips signed with Avalanche for $500,000 for 1 year(s).
[2023-01-20 9:03:18 PM] - Jamie Phillips was added to Avalanche.
[2023-01-12 7:16:27 PM] - New Record for Team's Most Shots Blocked (19) in 1 Game for Avalanche!

[2023-03-27 7:25:04 PM] Farm Game #723 - Jonathan Marchessault from Eagles has scored a Hat Trick!
[2023-03-27 7:25:04 PM] Game 723 - Ryan Murphy from Eagles is injured (Back Spasms) and is out for 3 weeks.
[2023-03-27 7:25:00 PM] Auto Lines Function has been run for Eagles.
[2023-03-27 7:25:00 PM] Auto Lines Function has been run for Avalanche.
[2023-03-27 7:25:00 PM] Auto Roster Partial Function has been run for Avalanche.
[2023-03-26 7:57:33 PM] Joel Edmundson from Avalanche is back from Lower Body Injury.
[2023-03-24 7:07:15 PM] Game 715 - Joel Edmundson from Avalanche is injured (Lower Body) and is out for 1 week.
[2023-03-24 7:07:14 PM] Game 706 - Connor Carrick from Eagles is injured (Sore Left Knee) and is out for 1 week.
[2023-03-23 7:09:16 PM] Pro Game #709 - Mikkel Boedker from Avalanche has scored a Hat Trick!
[2023-03-19 7:38:05 PM] Stefan Elliott from Avalanche is back from Bruised Right Leg Injury.
[2023-03-16 8:32:12 PM] Successfully loaded Avalanche lines done with Web Base Client and SQLite Database.
[2023-03-13 10:16:32 PM] New Record for Team's Most Points (22) in 1 Game for Avalanche!
[2023-03-13 10:16:32 PM] New Record for Team's Most Assists (14) in 1 Game for Avalanche!
[2023-03-13 10:16:32 PM] New Record for Team's Most Goals (8) in 1 Game for Avalanche!
[2023-03-13 10:16:32 PM] Game 658 - Stefan Elliott from Avalanche is injured (Bruised Right Leg) and is out for 1 week.
[2023-03-12 7:17:02 PM] New Record for Team's Most Shots Blocked (21) in 1 Game for Avalanche!
[2023-03-04 11:53:11 PM] Farm Game #607 - Nick Cousins from Eagles has scored a Hat Trick!
[2023-02-14 7:17:45 PM] Adin Hill from Eagles is back from Broken Nose Injury.
[2023-02-14 7:17:45 PM] Marc Staal from Avalanche is back from Sports Hernia Injury.
[2023-02-12 11:44:32 PM] James Van Riemsdyk from Avalanche is back from Sprained Right Ankle Injury.

Connor Carrick is out for 2 days because of a Sore Left Knee Injury.
Ryan Murphy is out for 2 weeks because of a Back Spasms Injury.

Avalanche Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Avalanche Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Avalanche Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	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

Avalanche Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Avalanche Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Avalanche
	GP: 56 \| W: 29 \| L: 23 \| OTL: 4 \| P: 62 GF: 196 \| GA: 189 \| PP%: 24.05% \| PK%: 78.71% GM : Christian Tanguay \| Morale : 47 \| Team Overall : 76 Next Games #740 vs Kings