Oil Country Hockey League - Schedule Pro Ducks

Roster

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	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Leon Draisaitl	0	C/LW/RW	100.00	60	17	94	86	79	92	94	97	94	99	98	73	79	68	68	87	78	83	25	8,500,000$/3yrs
Mark Scheifele	0	C	100.00	57	14	83	89	79	97	88	93	84	92	95	58	69	73	75	80	78	80	27	6,125,000$/2yrs
Mark Stone	0	RW	100.00	58	24	89	84	83	99	85	86	40	88	91	62	36	70	71	37	51	77	28	9,500,000$/2yrs
Mats Zuccarello	0	RW	100.00	62	13	85	86	60	98	81	85	36	89	76	66	89	68	71	80	78	75	33	6,000,000$/2yrs
Brayden Schenn	0	C/LW	100.00	65	28	83	85	74	94	94	79	77	86	75	46	43	74	76	78	44	73	29	6,500,000$/2yrs
Pierre-Luc Dubois	0	C/LW	100.00	72	19	70	86	81	90	99	82	81	84	88	35	75	63	64	74	78	73	22	3,667,065$/3yrs
Dustin Brown (A)	0	LW/RW	100.00	68	16	89	73	77	99	94	77	27	77	79	56	61	89	94	82	78	73	36	5,875,000$/1yrs
Tanner Pearson	0	LW	100.00	79	22	88	80	74	74	92	72	30	77	81	78	45	68	70	79	78	73	28	4,250,000$/4yrs
Luke Glendening	0	C/LW/RW	100.00	75	25	93	77	69	88	91	58	97	63	64	74	25	68	69	73	55	68	31	1,200,000$/2yrs
Nikolay Goldobin	0	LW/RW	100.00	42	9	92	82	68	85	83	81	23	77	61	34	25	60	60	62	24	65	25	1,200,000$/3yrs
Chris Terry	0	LW/RW	100.00	62	42	82	71	69	94	82	68	50	63	67	49	64	58	58	11	80	64	31	685,000$/1yrs
Tyler Motte	0	LW/RW	100.00	69	11	99	75	66	78	71	55	32	55	58	71	25	61	61	65	78	62	25	685,000$/3yrs
Jake Muzzin	0	D	100.00	72	26	83	84	79	98	94	69	25	67	51	84	25	71	74	70	78	75	32	5,500,000$/3yrs
Tyson Barrie	0	D	100.00	52	12	86	90	68	99	90	97	25	79	60	71	53	69	70	73	78	74	29	5,250,000$/3yrs
Anthony DeAngelo	0	D	100.00	66	49	58	82	68	89	78	76	25	71	49	76	75	65	65	62	78	70	25	3,500,000$/3yrs
Jacob Larsson	0	D	100.00	52	10	93	81	77	87	76	63	25	53	50	86	25	61	61	56	80	69	23	1,525,000$/5yrs
Jonas Siegenthaler	0	D	100.00	58	13	92	72	86	78	85	55	25	50	45	92	25	52	52	58	78	69	23	1,250,000$/5yrs
Justin Falk	0	D	100.00	84	69	70	68	86	76	59	57	25	40	47	89	25	64	65	59	78	68	32	900,000$/1yrs
Scratches
Adam Cracknell	0	RW	100.00	66	53	82	67	83	89	77	65	50	60	64	61	63	60	61	15	80	64	35	685,000$/1yrs
Andreas Martinsen	0	LW/RW	100.00	82	16	85	68	82	66	84	60	37	62	57	62	25	68	68	60	20	63	30	685,000$/1yrs
Kristian Vesalainen (R)	0	LW/RW	100.00	58	44	90	79	81	67	57	56	50	56	52	46	55	48	48	59	20	57	21	894,167$/1yrs

	TEAM AVERAGE		100.00	65	25	85	79	76	87	84	73	46	71	67	65	48	66	67	63	66	70

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
John Gibson	0	100.00	89	89	99	86	91	88	68	92	88	84	82	68	69	81	78	82	27	6,400,000$/2yrs
Jaroslav Halak	0	100.00	83	77	91	64	94	76	73	84	86	87	81	71	73	84	78	77	35	750,000$/1yrs
Scratches

	TEAM AVERAGE	100.00	86	83	95	75	93	82	71	88	87	86	82	70	71	83	78	80

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeremy Colliton	58	49	92	98	68	55	65	CAN	36	3	2,500,000$

General Manager
Fred Morier

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	AMG	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Leon Draisaitl	Ducks	0	C/LW/RW	38	20	23	43	3	0	0	54	157	47	91	12.74%	28	21.60	5	5	10	72	1	0	1	85	2	4	48.85%	262	29	23	2	0	1.05	2	7
2	Mats Zuccarello	Ducks	0	RW	38	22	15	37	1	10	0	46	154	34	105	14.29%	15	20.72	4	2	6	72	1	1	2	79	5	2	35.25%	122	33	11	2	1	0.94	2	6
3	Mark Scheifele	Ducks	0	C	38	12	20	32	-3	10	0	46	138	38	82	8.70%	6	21.31	2	6	8	73	0	1	1	79	2	1	57.10%	697	24	8	0	0	0.79	3	6
4	Pierre-Luc Dubois	Ducks	0	C/LW	38	9	18	27	-11	26	0	64	122	44	85	7.38%	3	19.67	2	5	7	70	0	0	0	12	0	1	52.66%	695	38	0	0	0	0.72	1	1
5	Brayden Schenn	Ducks	0	C/LW	39	16	10	26	-6	14	0	66	92	29	72	17.39%	24	19.49	5	5	10	82	0	0	0	12	1	2	45.40%	956	22	12	0	1	0.68	0	5
6	Mark Stone	Ducks	0	RW	38	11	10	21	0	12	0	70	139	30	77	7.91%	22	21.39	0	2	2	72	1	0	1	68	3	1	27.94%	68	39	12	0	0	0.52	0	1
7	Tanner Pearson	Ducks	0	LW	38	11	9	20	0	10	0	46	63	20	38	17.46%	17	17.61	2	3	5	67	0	0	0	0	2	0	25.00%	44	19	15	0	0	0.60	0	0
8	Jacob Larsson	Ducks	0	D	38	3	15	18	14	8	0	11	58	14	17	5.17%	57	20.25	1	0	1	71	0	1	1	84	0	1	0.00%	0	5	27	0	0	0.47	0	0
9	Justin Falk	Ducks	0	D	38	1	12	13	18	42	0	60	41	16	18	2.44%	63	17.93	0	0	0	2	0	0	0	65	0	0	0.00%	0	5	41	0	0	0.38	0	0
10	Dustin Brown	Ducks	0	LW/RW	38	6	6	12	0	0	0	44	70	25	57	8.57%	7	16.11	0	0	0	4	1	1	2	84	2	1	42.42%	33	10	7	0	0	0.39	1	2
11	Jake Muzzin	Ducks	0	D	38	0	12	12	-12	14	0	47	66	34	34	0.00%	68	24.47	0	3	3	77	0	0	0	82	0	0	0.00%	0	10	39	0	0	0.26	0	0
12	Anthony DeAngelo	Ducks	0	D	38	0	12	12	-15	44	0	54	60	15	30	0.00%	52	20.78	0	4	4	77	0	0	0	1	0	0	0.00%	0	9	25	0	0	0.30	0	1
13	Tyson Barrie	Ducks	0	D	38	7	5	12	-9	10	0	19	60	28	20	11.67%	47	19.66	3	2	5	71	0	0	0	21	3	1	0.00%	0	14	25	0	0	0.32	0	0
14	Jonas Siegenthaler	Ducks	0	D	38	0	10	10	-7	6	0	18	40	15	13	0.00%	78	18.00	0	0	0	1	0	0	0	89	0	0	0.00%	0	2	33	0	0	0.29	0	0
15	Luke Glendening	Ducks	0	C/LW/RW	37	1	3	4	-1	2	0	19	38	10	23	2.63%	10	9.55	0	0	0	2	0	0	0	77	0	0	53.15%	111	11	6	0	0	0.23	0	0
16	Tyler Motte	Ducks	0	LW/RW	38	1	3	4	-2	0	0	18	6	2	10	16.67%	6	5.35	0	0	0	0	0	0	0	0	0	0	33.33%	9	1	4	0	0	0.39	0	0
17	Chris Terry	Ducks	0	LW/RW	38	0	2	2	-2	2	0	12	14	0	10	0.00%	2	5.53	0	0	0	2	0	0	0	2	0	0	50.00%	2	9	2	0	0	0.19	0	0
18	Nikolay Goldobin	Ducks	0	LW/RW	4	2	0	2	0	0	0	1	8	3	2	25.00%	0	14.40	0	0	0	0	0	0	0	0	0	0	0.00%	2	2	1	0	0	0.69	0	0
19	Adam Cracknell	Ducks	0	RW	38	0	0	0	0	0	0	1	3	1	1	0.00%	0	0.95	0	0	0	7	0	0	0	0	0	0	66.67%	6	0	0	0	0	0.00	0	0
Team Total or Average				688	122	185	307	-32	210	0	696	1329	405	785	9.18%	505	16.69	24	37	61	829	4	4	8	846	20	14	49.22%	3007	282	291	4	2	0.53	9	29

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	John Gibson	Ducks	24	15	5	0	0.928	2.58	1324	0	1	57	788	335	4	0	0.900	10	20	18	7	0	1
2	Jaroslav Halak	Ducks	18	9	8	1	0.905	3.47	985	0	0	57	598	276	1	0	0.750	12	18	20	4	0	0
Team Total or Average		42	24	13	1	0.918	2.96	2309	0	1	114	1386	611	5	0	0.818	22	38	38	11	0	1

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	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	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	Flames	4	2	1	0	1	0	11	12	-1	6	0.750	11	19	30	0	3	4	3	1	131	43	42	45	4	158	55	24	72	9	1	11.11%	12	1	91.67%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	82	46	94	33	67	33	47.6%	8.4%	92.4%	100.8	DULL
2	Kings	4	2	1	0	1	0	16	14	2	6	0.750	16	24	40	0	5	7	3	2	132	48	47	32	9	147	58	32	50	4	1	25.00%	16	2	87.50%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	77	44	100	36	66	29	55.6%	12.1%	90.5%	102.6	FUN
3	Oilers	5	1	2	0	1	1	13	19	-6	5	0.500	13	17	30	0	3	2	7	2	163	53	48	61	10	204	69	44	84	11	3	27.27%	22	4	81.82%	1	458	905	50.61%	538	982	54.79%	299	579	51.64%	97	56	125	45	86	40	40.0%	8.0%	90.7%	98.7	Unlucky
4	Canucks	2	1	1	0	0	0	7	7	0	2	0.500	7	12	19	0	1	2	4	0	57	17	22	18	0	85	21	10	27	8	2	25.00%	5	0	100.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	35	19	51	19	32	14	41.7%	12.3%	91.8%	104.0	LUCKY
5	Golden Knights	4	3	1	0	0	0	13	10	3	6	0.750	13	16	29	1	5	4	4	0	123	51	43	29	0	117	56	24	78	14	2	14.29%	12	1	91.67%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	82	47	88	36	69	34	55.0%	10.6%	91.5%	102.0	LUCKY
6	Avalanche	2	1	1	0	0	0	5	5	0	2	0.500	5	7	12	0	1	2	2	0	75	26	28	21	0	74	12	6	28	7	2	28.57%	3	2	33.33%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	44	28	43	15	31	15	50.0%	6.7%	93.2%	99.9	DULL
7	Stars	1	1	0	0	0	0	2	1	1	2	1.000	2	4	6	0	0	1	1	0	41	11	13	17	0	30	7	2	17	1	0	0.00%	1	0	100.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	23	14	20	7	16	8	66.7%	4.9%	96.7%	101.5	DULL
8	Jets	2	1	0	1	0	0	5	3	2	4	1.000	5	10	15	0	1	2	1	1	75	31	20	23	1	63	15	8	36	11	1	9.09%	4	0	100.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	42	23	44	16	33	17	57.1%	6.7%	95.2%	101.9	DULL
9	Bruins	1	0	1	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	0	1	0	29	12	10	7	0	33	10	2	16	3	0	0.00%	1	1	0.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	19	11	22	8	17	8	25.0%	3.4%	87.9%	91.3	Unlucky
10	Coyotes	3	1	0	0	2	0	15	10	5	6	1.000	15	21	36	0	3	6	4	3	122	38	46	33	11	112	39	10	53	5	2	40.00%	5	1	80.00%	1	458	905	50.61%	538	982	54.79%	299	579	51.64%	66	40	70	26	53	26	59.1%	12.3%	91.1%	103.4	Unlucky
11	Canadiens	1	0	1	0	0	0	3	4	-1	0	0.000	3	5	8	0	3	0	0	0	31	13	12	6	0	41	12	6	11	1	0	0.00%	3	1	66.67%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	18	10	23	8	17	8	50.0%	9.7%	90.2%	99.9	FUN
12	Wild	1	1	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	1	3	0	37	8	16	13	0	35	7	4	19	5	2	40.00%	2	1	50.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	19	11	22	9	17	8	66.7%	10.8%	94.3%	105.1	LUCKY
13	Maple Leafs	1	1	0	0	0	0	3	1	2	2	1.000	3	4	7	0	0	1	2	0	43	11	14	18	0	34	10	2	21	2	1	50.00%	1	0	100.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	22	14	20	8	16	8	66.7%	7.0%	97.1%	104.0	DULL
14	Rangers	1	1	0	0	0	0	5	4	1	2	1.000	5	8	13	0	1	0	4	0	37	13	11	13	0	37	18	6	17	4	2	50.00%	3	0	100.00%	1	458	905	50.61%	538	982	54.79%	299	579	51.64%	23	14	21	7	15	7	42.9%	13.5%	89.2%	102.7	FUN
15	Red Wings	1	0	0	1	0	0	2	1	1	2	1.000	2	3	5	0	0	1	0	1	37	12	13	9	3	38	7	2	20	2	0	0.00%	1	0	100.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	21	12	21	9	17	9	66.7%	5.4%	97.4%	102.8	DULL
16	Lightning	2	0	2	0	0	0	3	8	-5	0	0.000	3	5	8	0	2	0	1	0	52	18	21	13	0	71	23	10	35	1	0	0.00%	5	0	100.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	36	20	48	17	34	16	27.3%	5.8%	88.7%	94.5	Unlucky
17	Panthers	1	0	1	0	0	0	2	3	-1	0	0.000	2	3	5	0	1	1	0	0	27	13	9	5	0	32	14	2	12	1	0	0.00%	1	0	100.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	18	11	26	8	15	7	40.0%	7.4%	90.6%	98.0	Unlucky
18	Devils	2	1	1	0	0	0	8	7	1	2	0.500	8	11	19	0	2	4	2	0	68	11	23	34	0	75	37	10	41	6	0	0.00%	5	2	60.00%	0	458	905	50.61%	538	982	54.79%	299	579	51.64%	40	22	44	16	34	17	61.5%	11.8%	90.7%	102.4	FUN
	_Vs Division	19	9	6	0	3	1	60	62	-2	25	0.658	60	88	148	1	17	19	21	5	606	212	202	185	23	711	259	134	311	46	9	19.57%	67	8	88.06%	1	458	905	50.61%	538	982	54.79%	299	579	51.64%	376	214	460	171	323	152	48.6%	9.9%	91.3%	101.2	LUCKY
	_Vs Conference	28	14	7	1	5	1	91	83	8	41	0.732	91	138	229	1	22	31	32	9	956	326	325	292	35	1025	339	164	464	75	16	21.33%	82	12	85.37%	2	458	905	50.61%	538	982	54.79%	299	579	51.64%	573	332	662	246	475	230	51.4%	9.5%	91.9%	101.4	LUCKY
	_Since Last GM Reset	38	17	13	2	5	1	118	115	3	49	0.645	118	179	297	1	31	38	42	10	1280	429	438	397	38	1386	470	204	637	95	19	20.00%	102	16	84.31%	3	458	905	50.61%	538	982	54.79%	299	579	51.64%	775	449	891	331	644	314	50.0%	9.2%	91.7%	100.9	LUCKY
	Total	38	17	13	2	5	1	118	115	3	49	0.645	118	179	297	1	31	38	42	10	1280	429	438	397	38	1386	470	204	637	95	19	20.00%	102	16	84.31%	3	458	905	50.61%	538	982	54.79%	299	579	51.64%	775	449	891	331	644	314	50.0%	9.2%	91.7%	100.9	LUCKY

	Puck Time
Offensive Zone	20
Neutral Zone	16
Defensive Zone	23

	Puck Time
Offensive Zone Start	905
Neutral Zone Start	579
Defensive Zone Start	982

	Puck Time
With Puck	28
Without Puck	31

	Faceoffs
Faceoffs Won	1295
Faceoffs Lost	1171

	Team Average Shots after	League Average Shots after
1st Period	11.3	9.57
2nd Period	22.8	20.31
3rd Period	33.3	30.68
Overtime	34.3	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.8	0.64
2nd Period	1.8	1.65
3rd Period	2.9	2.67
Overtime	3.2	2.83


Even Strenght Goal	96
PP Goal	19
PK Goal	3
Empty Net Goal	0

	Home	Away
Win	13	11
Lost	6	7
Overtime Lost	1	0


PP Attempt	95
PP Goal	19
PK Attempt	102
PK Goal Against	16

	Home
Shots For	33.7
Shots Against	36.5
Goals For	3.1
Goals Against	3.0
Hits	16.8
Shots Blocked	12.4
Pim	5.4

Cap Hit


	Projected Total Cap Hit	81,276,232$
	Projected Cap Space	5,223,768$
	Retains And Buyout Cap Hit	-250,000$
	Salary Cap To Date	36,549,446$
	Players In Salary Cap	23
	LTIR Players	0

Player Name	Pos	Age	Cap Hit	2013-2014	2014-2015	2015-2016	2016-2017	2017-2018
Adam Cracknell	RW	35	685,000$	685,000$
Andreas Martinsen	LW/RW	30	685,000$	685,000$
Anthony DeAngelo	D	25	3,500,000$	3,500,000$	3,500,000$	3,500,000$
Brayden Schenn	C/LW	29	6,500,000$	6,500,000$	6,500,000$
Chris Terry	LW/RW	31	685,000$	685,000$
Dustin Brown	LW/RW	36	5,875,000$	5,875,000$
Jacob Larsson	D	23	1,525,000$	1,525,000$	1,525,000$	1,525,000$	1,525,000$	1,525,000$
Jake Muzzin	D	32	5,500,000$	5,500,000$	5,500,000$	5,500,000$
Jaroslav Halak	D	35	750,000$	750,000$
John Gibson	LW	27	6,400,000$	6,400,000$	6,400,000$
Jonas Siegenthaler	D	23	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$	1,250,000$
Justin Falk	D	32	900,000$	900,000$
Kristian Vesalainen	LW/RW	21	894,167$	894,167$
Leon Draisaitl	C/LW/RW	25	8,500,000$	8,500,000$	8,500,000$	8,500,000$
Luke Glendening	C/LW/RW	31	1,200,000$	1,200,000$	1,200,000$
Mark Scheifele	C	27	6,125,000$	6,125,000$	6,125,000$
Mark Stone	RW	28	9,500,000$	9,500,000$	9,500,000$
Mats Zuccarello	RW	33	6,000,000$	6,000,000$	6,000,000$
Nikolay Goldobin	LW/RW	25	1,200,000$	1,200,000$	1,200,000$	1,200,000$
Pierre-Luc Dubois	C/LW	22	3,667,065$	3,667,065$	3,667,065$	3,667,065$
Tanner Pearson	LW	28	4,250,000$	4,250,000$	4,250,000$	4,250,000$	4,250,000$
Tyler Motte	LW/RW	25	685,000$	685,000$	685,000$	685,000$
Tyson Barrie	D	29	5,250,000$	5,250,000$	5,250,000$	5,250,000$

Lines

Forward Lines
#0 - Nikolay Goldobin	#0 - Mark Scheifele	#0 - Leon Draisaitl
#0 - Tanner Pearson	#0 - Pierre-Luc Dubois	#0 - Mats Zuccarello
#0 - Dustin Brown	#0 - Brayden Schenn	#0 - Mark Stone
#0 - Chris Terry	#0 - Luke Glendening	#0 - Tyler Motte

Defensive Pairings
#0 - Anthony DeAngelo	#0 - Jake Muzzin
#0 - Tyson Barrie	#0 - Jonas Siegenthaler
#0 - Jacob Larsson	#0 - Justin Falk

1st Power Play Unit
#0 - Mark Scheifele		#0 - Leon Draisaitl		#0 - Mark Stone
#0 - Anthony DeAngelo			#0 - Jake Muzzin

2nd Power Play Unit
#0 - Brayden Schenn		#0 - Pierre-Luc Dubois		#0 - Mats Zuccarello
#0 - Tyson Barrie			#0 - Jacob Larsson

Goalies
#63 - John Gibson		#0 - Jaroslav Halak

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
Dmitri Zlodeyev	Ducks	3	74
Jesper Sellgren	Ducks	1
Kasper Simontaival	Ducks	3	35
Logan Cockerill	Ducks	1
Robbie Fromm-Delorme	Ducks	2	83

Schedule

Date	Matchup			Result	Detail
2021-03-05	Ducks	@	Golden Knights	Ducks2,Golden Knights0	RECAP
2021-03-07	Kings	@	Ducks	Kings5,Ducks6 (SO)	RECAP
2021-03-08	Golden Knights	@	Ducks	Golden Knights2,Ducks4	RECAP
2021-03-10	Ducks	@	Canucks	Ducks2,Canucks4	RECAP
2021-03-12	Ducks	@	Kings	Ducks6,Kings4	RECAP
2021-03-13	Jets	@	Ducks	Jets2,Ducks3	RECAP
2021-03-15	Canucks	@	Ducks	Canucks3,Ducks5	RECAP
2021-03-17	Flames	@	Ducks	Flames6,Ducks1	RECAP
2021-03-19	Ducks	@	Oilers	Ducks3,Oilers2 (SO)	RECAP
2021-03-21	Ducks	@	Flames	Ducks3,Flames2	RECAP
2021-03-22	Avalanche	@	Ducks	Avalanche3,Ducks1	RECAP
2021-03-24	Ducks	@	Lightning	Ducks1,Lightning4	RECAP
2021-03-26	Oilers	@	Ducks	Oilers6,Ducks3	RECAP
2021-03-28	Golden Knights	@	Ducks	Golden Knights2,Ducks4	RECAP
2021-03-29	Ducks	@	Oilers	Ducks2,Oilers6	RECAP
2021-03-31	Ducks	@	Kings	Ducks2,Kings4	RECAP
2021-04-02	Jets	@	Ducks	Jets1,Ducks2 (OT)	RECAP
2021-04-04	Ducks	@	Canadiens	Ducks3,Canadiens4	RECAP
2021-04-05	Devils	@	Ducks	Devils4,Ducks3	RECAP
2021-04-07	Rangers	@	Ducks	Rangers4,Ducks5	RECAP
2021-04-09	Ducks	@	Golden Knights	Ducks3,Golden Knights6	RECAP
2021-04-11	Lightning	@	Ducks	Lightning4,Ducks2	RECAP
2021-04-13	Ducks	@	Red Wings	Ducks2,Red Wings1 (OT)	RECAP
2021-04-14	Ducks	@	Devils	Ducks5,Devils3	RECAP
2021-04-15	Oilers	@	Ducks	Oilers4,Ducks3 (SO)	RECAP
2021-04-17	Ducks	@	Coyotes	Ducks4,Coyotes3 (SO)	RECAP
2021-04-19	Bruins	@	Ducks	Bruins4,Ducks1	RECAP
2021-04-20	Ducks	@	Coyotes	Ducks5,Coyotes4 (SO)	RECAP
2021-04-22	Oilers	@	Ducks	Oilers1,Ducks2	RECAP
2021-04-24	Ducks	@	Maple Leafs	Ducks3,Maple Leafs1	RECAP
2021-04-25	Ducks	@	Flames	Ducks4,Flames2	RECAP
2021-04-27	Wild	@	Ducks	Wild2,Ducks4	RECAP
2021-04-29	Ducks	@	Flames	Ducks3,Flames2 (SO)	RECAP
2021-04-30	Kings	@	Ducks	Kings1,Ducks2	RECAP
2021-05-02	Coyotes	@	Ducks	Coyotes3,Ducks6	RECAP
2021-05-05	Stars	@	Ducks	Stars1,Ducks2	RECAP
2021-05-06	Ducks	@	Panthers	Ducks2,Panthers3	RECAP
2021-05-07	Avalanche	@	Ducks	Avalanche2,Ducks4	RECAP
2021-05-09	Ducks	@	Lightning
2021-05-11	Wild	@	Ducks
2021-05-12	Ducks	@	Bruins
2021-05-13	Ducks	@	Senators
2021-05-15	Blue Jackets	@	Ducks
2021-05-17	Ducks	@	Blue Jackets
2021-05-19	Coyotes	@	Ducks
2021-05-22	Stars	@	Ducks
2021-05-23	Ducks	@	Stars
2021-05-25	Flames	@	Ducks
2021-05-26	Ducks	@	Avalanche
2021-05-28	Red Wings	@	Ducks
2021-05-30	Ducks	@	Stars
2021-06-01	Flames	@	Ducks
2021-06-02	Ducks	@	Kings
2021-06-04	Sabres	@	Ducks
2021-06-05	Ducks	@	Avalanche
2021-06-08	Red Wings	@	Ducks
2021-06-09	Ducks	@	Rangers
2021-06-11	Canadiens	@	Ducks
2021-06-13	Ducks	@	Wild
2021-06-15	Ducks	@	Wild
2021-06-16	Ducks	@	Golden Knights
2021-06-18	Canucks	@	Ducks
2021-06-20	Golden Knights	@	Ducks
2021-06-21	Ducks	@	Blues
2021-06-24	Ducks	@	Oilers
2021-06-25	Maple Leafs	@	Ducks
2021-06-27	Flyers	@	Ducks
Trade Deadline --- Trades can�t be done after this day is simulated!
2021-06-28	Ducks	@	Sabres
2021-07-01	Panthers	@	Ducks
2021-07-03	Blues	@	Ducks
2021-07-06	Ducks	@	Canucks
2021-07-07	Blues	@	Ducks
2021-07-09	Ducks	@	Blues
2021-07-10	Ducks	@	Panthers
2021-07-12	Senators	@	Ducks
2021-07-13	Ducks	@	Flyers
2021-07-15	Canucks	@	Ducks
2021-07-16	Ducks	@	Jets
2021-07-18	Ducks	@	Jets
2021-07-21	Kings	@	Ducks
2021-07-24	Panthers	@	Ducks
2021-07-25	Ducks	@	Canucks

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
81,526,232$	-250,000$	81,276,232$	5,223,768$

Arena	Goal Horn	About us
		Name	Honda Center
		City	Anaheim
		Capacity	18000
		Season Ticket Holders	50%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	300$	150$	100$	75$	400$
Attendance	94855	79944	31973	64084	18613
Attendance PCT	79.05%	79.94%	79.93%	80.11%	93.07%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
21	14473 - 80.41%	4,164,319$	83,286,381$	18000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
81,526,232$	81,526,232$	0$	-250,000$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
37,687,410$	81,526,232$	36,549,446$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
87,450,700$	79	579,491$	45,779,789$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
47,485,869$	81,276,232$	267,560,090$	315,837,795$

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Leon Draisaitl	AGE:25	GER
Dustin Brown	AGE:36	USA
Tanner Pearson	AGE:28	CAN
Brayden Schenn	AGE:29	CAN
Pierre-Luc Dubois	AGE:22	CAN
Luke Glendening	AGE:31	USA
Tyler Motte	AGE:25	USA
Nikolay Goldobin	AGE:25	RUS
Chris Terry	AGE:31	CAN
Andreas Martinsen	AGE:30	NOR
Kristian Vesalainen	AGE:21	FIN
Rodion Amirov	AGE:19	RUS
Arthur Kaliyev	AGE:19	RUS
Matej Pekar	AGE:21	CZE
Emil Bemstrom	AGE:22	SWE
Daniel Carr	AGE:29	CAN
Ilya Kovalchuk	AGE:37	RUS
Vladimir Sobotka	AGE:33	CZE
Thomas Vanek	AGE:37	CZE
Scott Wilson	AGE:28	CAN

Leon Draisaitl	AGE:25	GER
Mark Scheifele	AGE:27	CAN
Brayden Schenn	AGE:29	CAN
Pierre-Luc Dubois	AGE:22	CAN
Luke Glendening	AGE:31	USA
Barrett Hayton	AGE:21	CAN
Alex Turcotte	AGE:20	USA
Bobby Brink	AGE:19	USA
Matej Pekar	AGE:21	CZE
Vladimir Sobotka	AGE:33	CZE
Cole Caufield	AGE:20	USA

Leon Draisaitl	AGE:25	GER
Dustin Brown	AGE:36	USA
Mats Zuccarello	AGE:33	NOR
Luke Glendening	AGE:31	USA
Tyler Motte	AGE:25	USA
Nikolay Goldobin	AGE:25	RUS
Mark Stone	AGE:28	CAN
Chris Terry	AGE:31	CAN
Andreas Martinsen	AGE:30	NOR
Kristian Vesalainen	AGE:21	FIN
Adam Cracknell	AGE:35	CAN
Yegor Chinakhov	AGE:20	rus
Emil Bemstrom	AGE:22	SWE
Daniel Carr	AGE:29	CAN
Ilya Kovalchuk	AGE:37	RUS
Thomas Vanek	AGE:37	CZE
Cole Caufield	AGE:20	USA

Defense #1

Defense #2

Goalie

Tyson Barrie	AGE:29	CAN
Jake Muzzin	AGE:32	CAN
Anthony DeAngelo	AGE:25	USA
Justin Falk	AGE:32	CAN
Jonas Siegenthaler	AGE:23	SWI
Jacob Larsson	AGE:23	SWE

Thomas Harley	AGE:19	USA
Jonathan Ericsson	AGE:37	SWE
Dan Hamhuis	AGE:38	CAN
Chad Ruhwedel	AGE:30	USA
Karl Alzner	AGE:32	CAN
Xavier Ouellet	AGE:27	FRA

John Gibson	AGE:27	USA
Jaroslav Halak	AGE:35	SVK
Alexis Gravel	AGE:20	DEU
Jared Coreau	AGE:29	CAN
Michal Neuvirth	AGE:32	CZE

Draft Picks

Year	Round 1	Round 2	Round 3	Round 4
4
5
6
7
8

** Conditional Draft Pick That Have Been Traded

Transactions

TRADE : From Ducks to Blues : Evan Fitzpatrick (P).

TRADE : From Blues to Ducks : Luke Glendening (68).

TRADE : From Ducks to Rangers : Jeff Carter (69), Alex Laferriere (P), Eemil Viro (P), Y:4-RND:1-CGY, Y:5-RND:2-ANA.

TRADE : From Rangers to Ducks : Brayden Schenn (73), $3,250,000 (Salary Cap).

TRADE : From Blues to Ducks : Mark Stone (77).

TRADE : From Ducks to Blues : Kasperi Kapanen (69), Kevin Bahl (65), Zach Parise (73), Topi Niemela (P), Y:4-RND:1-VAN, Y:4-RND:2-ANA.

Andreas Martinsen signed with Ducks for $685,000 for 1 year(s).

Adam Cracknell signed with Ducks for $685,000 for 1 year(s).

Xavier Ouellet signed with Ducks for $685,000 for 1 year(s).

Chris Terry signed with Ducks for $685,000 for 1 year(s).

Chad Ruhwedel signed with Ducks for $685,000 for 3 year(s).

Justin Falk signed with Ducks for $900,000 for 1 year(s).

Jonathan Ericsson signed with Ducks for $685,000 for 1 year(s).

Dan Hamhuis signed with Ducks for $685,000 for 1 year(s).

TRADE : From Ducks to Flames : Kris Letang (79), $3,000,000 (Salary Cap).

TRADE : From Flames to Ducks : Anthony DeAngelo (70), Emil Bemstrom (64), Y:4-RND:1-CGY.

Tanner Pearson signed with Ducks for $4,250,000 for 4 year(s) / Option : 1 Way Contract .

Ducks drafts Dmitri Zlodeyev as the #74 overall pick in the Entry Draft of year 3.

Ducks drafts Eemil Viro as the #50 overall pick in the Entry Draft of year 3.

Ducks drafts Kasper Simontaival as the #35 overall pick in the Entry Draft of year 3.

Injuries

No Injury or Suspension.

Game Center

Ducks24-13-1, 49pts

23Final

Panthers23-11-4, 50pts

Avalanche20-17-1, 41pts

24Final

Ducks24-13-1, 49pts

Sun, May 09Amalie Arena

Lightning17-18-4, 38pts

Wild16-19-3, 35pts

Tue, May 11Honda Center

Ducks24-13-1, 49pts

Wed, May 12TD Garden

Bruins17-15-7, 41pts

Team Leaders

	GOALS Mats Zuccarello 22			ASSISTS Leon Draisaitl 23
	POINTS Leon Draisaitl 43			PLUS/MINUS Justin Falk 18
	WINS John Gibson 15			SV% John Gibson 0.928

Team Stats

Goals For 118 3.11 GFG	Shots For 1280 33.68 Avg	Power Play Percentage 20.0% 19 GF	Offensive Zone Start 48.0%
Goals Against 115 3.03 GAA	Shots Against 1386 36.47 Avg	Penalty Kill Percentage 84.3% 16 GA	Defensive Zone Start 52.0%

Team Info


	General Manager	Fred Morier
	Head Coach	Jeremy Colliton
	Captain
	Division	Pacific

Ducks Affiliation


	Team Name	Gulls
	City	San Diego
	Head Coach	Jay Leach
	Division	Pacific

Arena Info


	Stadium	Honda Center
	Capacity	18,000
	Attendance	14,473
	Season Tickets	9,000

Salary Cap


	Total Cap Hit	81,276,232$
	Cap Space	5,223,768$
	Retains & Buyout	-250,000$
	Players In Salary Cap	23

Finance


	Team Revenue	83,286,381$
	Estimated Revenue	179,049,955$
	Estimated Expenses	83,467,199$
	Operating Income	95,582,756$
	Bank Account	267,560,090$

Team Captain - Alternate Captains

Captain	Alternate Captain	Alternate Captain
Dustin Brown