Ducks
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Ducks 37-31-14, 88pts	3	FINAL	6	Penguins 38-38-6, 82pts

Team Stats
L3	Streak	L1
18-17-6	Home Record	17-22-2
19-14-8	Home Record	21-16-4
4-6-0	Last 10 Games	5-4-1
3.00	Goals Per Game	2.93
3.12	Goals Against Per Game	3.18
19.35%	Power Play Percentage	16.92%
84.64%	Penalty Kill Percentage	74.90%

Oilers
50-26-6, 106pts

FINAL

Ducks
37-31-14, 88pts

Team Stats
W10	Streak	L3
26-11-4	Home Record	18-17-6
24-15-2	Home Record	19-14-8
10-0-0	Last 10 Games	4-6-0
3.49	Goals Per Game	3.00
2.99	Goals Against Per Game	3.12
21.76%	Power Play Percentage	19.35%
82.53%	Penalty Kill Percentage	84.64%

Team Leaders
	Goals Geoff Platt 32	Assists Travis Boyd 50

	Points Mason McTavish 73	Plus/Minus Travis Boyd 9

	Wins Collin Delia 32	Save Percentage Collin Delia 0.906

Team Stats
Goals For 246 3.00 GFG	Shots For 2659 32.43 Avg	Power Play Percentage 19.4% 48 GF	Offensive Zone Start 38.4%
Goals Against 256 3.12 GAA	Shots Against 2589 31.57 Avg	Penalty Kill Percentage 84.6%% 41 GA	Defensive Zone Start 38.7%

Team Info
	General Manager	Sébastien Charbonneau
	Coach	Greg Cronin
	Division	Pacifique
	Conference	Ouest
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,944
	Season Tickets	1,800
Roster Info
	Pro Team	39
	Farm Team	19
	Contract Limit	58 / 60
	Prospects	39

Show or Hide Columns

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	Travis Boyd (R)	X				100.00	69	50	80	79	76	87	86	81	68	77	74	71	25	79	76	64	76	72	0	30	3	1,500,000$
2	Mason McTavish (R)	X				100.00	73	50	72	76	88	86	78	85	67	79	76	67	25	80	59	49	66	72	2	21	3	894,167$
3	Geoff Platt		X			100.00	96	67	50	65	70	27	52	96	70	94	92	49	51	93	93	22	57	71	0	38	2	1,000,000$
4	Peyton Krebs (R)	X				100.00	77	61	70	82	80	84	80	76	70	76	69	71	25	76	61	52	61	70	0	23	2	863,333$
5	Kirill Marchenko (R)			X		100.00	70	45	87	80	86	86	73	80	55	64	79	66	25	81	55	49	54	70	2	23	3	925,000$
6	Carl Grundstrom (R)		X			100.00	84	45	87	76	80	81	83	76	40	67	72	69	25	76	71	59	58	69	0	26	2	700,000$
7	Hudson Fasching (R)			X		100.00	71	40	86	73	82	83	83	75	40	75	71	66	25	74	81	69	56	69	0	28	2	1,000,000$
8	Liam O'Brien (R)		X			100.00	87	84	56	72	83	83	87	69	50	67	63	70	25	69	84	72	39	68	0	29	1	750,000$
9	Alexander True (R)	X				100.00	85	88	69	68	77	67	68	69	81	74	68	63	60	76	77	45	64	67	0	26	3	700,000$
10	Yegor Chinakhov (R)			X		100.00	65	40	80	75	86	84	68	70	40	68	64	64	25	71	59	49	45	65	2	23	3	925,000$
11	Marcus Pettersson (R)				X	100.00	75	61	66	79	75	89	84	77	40	86	73	82	25	74	76	64	74	75	0	28	1	1,250,000$
12	Mario Ferraro (R)				X	100.00	78	45	82	81	84	88	83	75	40	67	67	87	25	75	66	60	62	75	0	25	3	3,000,000$
13	Anthony DeAngelo (R)				X	100.00	69	61	66	85	73	90	87	86	40	79	76	73	25	84	79	67	38	74	0	28	3	3,000,000$
14	Niko Mikkola (R)				X	100.00	76	61	69	74	84	87	83	72	40	74	70	88	25	70	66	54	52	74	0	28	3	2,000,000$
15	Jake Bean (R)				X	100.00	60	40	75	73	81	84	70	68	40	77	73	70	25	68	70	60	18	68	0	25	2	700,000$
Scratches
1	Emil Bemstrom (R)			X		93.22	66	40	92	76	81	82	81	74	50	74	67	66	25	73	66	54	46	68	0	24	3	800,000$
2	A.J. Greer (R)		X			100.00	82	83	56	73	85	78	85	72	40	66	65	69	25	71	79	67	48	67	0	27	3	800,000$
3	Daniel Carr (R)			X		100.00	55	25	99	66	73	65	77	66	65	66	64	67	65	90	82	46	14	64	0	32	2	575,000$
4	Justin Bailey (R)		X			100.00	81	83	68	66	78	68	53	64	46	73	69	68	63	78	74	63	11	64	0	28	2	575,000$
5	Nikita Soshnikov (R)		X			100.00	55	40	75	72	75	80	73	65	40	63	60	74	25	66	80	70	18	64	0	30	1	575,000$
6	Buddy Robinson (R)			X		100.00	65	46	61	65	82	70	70	64	42	69	67	67	25	87	77	53	17	64	0	32	2	600,000$
7	Tyler Graovac (R)	X				100.00	51	26	99	66	79	74	77	60	79	59	64	70	68	82	74	35	8	63	0	31	3	575,000$
8	Kalle Kossila (R)		X			100.00	54	41	75	68	70	57	94	68	64	67	61	67	50	79	65	29	18	63	0	31	3	575,000$
9	Joakim Nordstrom			X		100.00	62	30	99	67	74	70	81	47	77	49	51	84	70	96	92	38	18	62	0	32	2	700,000$
10	Dwight King			X		100.00	70	60	99	55	83	60	80	50	56	47	49	83	69	99	99	24	18	61	0	34	2	575,000$
11	Antti Suomela (R)	X				100.00	62	18	99	72	71	66	79	58	74	57	54	63	65	80	74	31	19	61	0	30	1	575,000$
12	Scott Sabourin (R)			X		100.00	72	67	99	64	77	63	69	48	57	66	60	56	42	81	73	32	18	60	0	31	2	575,000$
13	Zach Senyshyn (R)			X		100.00	65	61	99	62	76	55	57	47	40	64	57	60	62	73	70	63	20	57	0	27	2	575,000$
14	Glenn Gawdin (R)	X				100.00	53	45	65	64	64	65	66	64	58	60	59	50	25	62	54	50	19	57	2	27	3	762,500$
15	Shane Bowers (R)	X				100.00	60	40	73	66	64	62	63	61	42	58	54	55	25	60	51	50	20	56	1	24	3	750,000$
16	Pavol Regenda (R)		X			100.00	64	41	60	60	71	62	62	62	42	57	57	53	25	60	51	50	19	56	2	24	3	855,000$
17	Simon Benoit (R)				X	99.17	78	61	68	75	84	87	80	75	40	67	65	78	25	73	61	52	50	71	0	25	2	750,000$
18	Lucas Carlsson (R)				X	100.00	66	40	66	72	63	64	65	69	40	74	68	80	25	72	74	58	19	67	0	26	3	700,000$
19	Samuel Bolduc (R)				X	100.00	64	40	69	67	73	62	62	66	40	63	60	67	25	64	50	50	18	61	2	23	3	842,500$
20	Vincent Iorio (R)				X	100.00	68	40	74	70	65	55	56	63	40	62	52	69	25	62	50	50	18	60	2	21	3	845,000$
21	Simon Edvinsson (R)				X	100.00	64	41	63	69	67	55	55	62	40	62	55	67	25	62	50	50	20	59	2	21	3	925,000$
22	Ronnie Attard (R)				X	100.00	66	45	66	1	68	63	64	67	40	62	61	69	25	66	52	50	19	53	2	25	3	883,750$

	TEAM AVERAGE					99.78	69	50	76	69	76	72	73	68	51	68	65	69	36	75	69	51	35	65

Show or Hide Columns

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	Collin Delia (R)	100.00	83	76	94	79	85	99	99	99	99	82	51	91	83	28	68	87	0	29	1	2,000,000$
2	Daniil Tarasov (R)	100.00	80	74	73	85	76	80	78	77	81	76	30	75	58	51	69	76	0	25	2	1,050,000$
Scratches

	TEAM AVERAGE	100.00	82	75	84	82	81	90	89	88	90	79	41	83	71	40	69	82

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Greg Cronin	68	74	66	65	65	60	1	USA	59	3	2,000,000$

Show or Hide Columns

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	FW	FL	FT	S1	S2	S3
1	Mason McTavish	Ducks (ANA)	C	82	30	43	73	-8	70	30	173	200	284	91	182	10.56%	37	1672	20.39	8	12	20	33	190	0	0	0	4	192	3	0	48.69%	1762	47	31	0	2	0.87	1	10	2	1	3	2	6	3
2	Geoff Platt	Ducks (ANA)	LW	72	32	38	70	0	230	90	198	91	245	58	151	13.06%	24	1340	18.61	8	10	18	31	162	0	0	0	1	104	4	6	48.30%	176	48	26	0	1	1.04	3	9	4	5	9	3	5	4
3	Travis Boyd	Ducks (ANA)	C	65	14	50	64	9	29	15	108	179	191	86	120	7.33%	39	1365	21.00	2	14	16	35	172	0	0	0	2	169	3	0	49.20%	1687	35	24	0	0	0.94	2	11	0	2	1	2	2	7
4	Hudson Fasching	Ducks (ANA)	RW	73	24	25	49	-3	23	15	81	82	144	47	98	16.67%	36	1272	17.43	5	6	11	15	159	0	0	0	3	18	5	1	39.53%	86	31	22	0	0	0.77	0	1	0	2	1	3	0	7
5	Carl Grundstrom	Ducks (ANA)	LW	80	20	25	45	-5	42	40	132	124	195	54	105	10.26%	34	1401	17.52	1	5	6	16	134	1	0	1	2	85	2	2	39.42%	104	28	23	0	0	0.64	0	0	2	5	1	2	1	3
6	Kirill Marchenko	Ducks (ANA)	RW	78	21	21	42	1	34	20	109	99	184	56	106	11.41%	31	1442	18.50	7	6	13	35	209	0	0	0	5	47	3	1	42.86%	105	31	19	1	0	0.58	0	2	0	2	2	2	3	3
7	Andrei Kuzmenko	Ducks	LW	63	17	23	40	0	25	25	38	99	181	59	117	9.39%	21	1006	15.97	3	5	8	18	141	0	0	0	0	82	3	0	37.91%	182	49	16	1	0	0.79	1	8	1	2	2	3	0	3
8	Peyton Krebs	Ducks (ANA)	C	52	13	17	30	-7	84	40	95	81	137	34	86	9.49%	16	787	15.15	1	3	4	6	50	0	1	1	2	34	2	2	49.04%	624	19	14	0	0	0.76	0	2	3	3	2	4	0	0
9	Anthony DeAngelo	Ducks (ANA)	D	80	6	23	29	-14	140	70	104	153	154	51	83	3.90%	86	1685	21.07	3	2	5	16	160	0	0	0	5	156	1	0	0%	0	62	54	0	0	0.34	0	0	1	7	6	1	1	0
10	Marcus Pettersson	Ducks (ANA)	D	80	5	22	27	-20	145	75	137	139	103	50	47	4.85%	105	1759	22.00	2	4	6	10	180	0	0	0	2	181	1	0	0%	0	38	57	0	0	0.31	0	0	4	2	9	0	1	1
11	Alexander True	Ducks (ANA)	C	82	11	14	25	-1	68	50	120	81	99	30	68	11.11%	20	852	10.39	0	0	0	0	0	0	0	0	0	40	1	0	54.47%	481	16	6	0	0	0.59	1	1	7	2	1	1	0	3
12	Mario Ferraro	Ducks (ANA)	D	80	8	16	24	9	39	15	130	154	104	40	48	7.69%	117	1857	23.21	5	3	8	22	211	0	1	1	1	213	1	1	0%	0	25	66	1	0	0.26	0	0	3	0	0	2	1	0
13	Emil Bemstrom	Ducks (ANA)	RW	70	10	12	22	-12	0	0	48	70	143	53	82	6.99%	18	953	13.62	0	0	0	0	30	1	0	1	3	35	0	3	54.72%	53	29	12	0	0	0.46	0	0	0	0	0	1	2	1
14	A.J. Greer	Ducks (ANA)	LW	67	9	10	19	1	113	55	122	65	92	32	53	9.78%	17	794	11.86	0	0	0	0	19	0	0	0	2	25	0	1	30.91%	55	14	18	0	0	0.48	0	0	3	5	3	1	1	1
15	Liam O'Brien	Ducks (ANA)	LW	71	11	7	18	-5	61	25	89	43	70	20	35	15.71%	19	683	9.63	0	0	0	0	10	0	0	0	1	16	1	0	36.36%	33	5	11	0	0	0.53	0	1	2	1	2	0	1	1
16	Yegor Chinakhov	Ducks (ANA)	RW	71	8	10	18	0	4	0	26	41	88	21	53	9.09%	11	636	8.96	0	0	0	0	0	0	0	0	0	3	0	2	21.43%	14	6	7	0	0	0.57	0	0	0	0	0	0	1	1
17	Niko Mikkola	Ducks (ANA)	D	82	1	14	15	-9	93	35	102	133	76	35	38	1.32%	87	1456	17.76	0	1	1	4	74	0	1	1	0	63	0	0	0%	0	22	48	0	0	0.21	0	0	1	2	4	0	1	0
18	Simon Benoit	Ducks (ANA)	D	82	1	12	13	1	81	45	89	90	71	30	26	1.41%	75	1301	15.87	1	0	1	1	7	0	0	0	2	53	0	0	0%	0	13	40	0	0	0.20	0	1	2	1	6	0	0	0
19	Jake Bean	Ducks (ANA)	D	30	1	6	7	-7	10	0	26	24	27	13	14	3.70%	25	503	16.78	0	0	0	0	4	0	0	0	1	44	0	0	0%	1	15	18	0	0	0.28	0	0	0	0	0	0	0	1
20	Daniel Carr	Ducks (ANA)	RW	35	3	1	4	-4	0	0	3	16	21	4	15	14.29%	5	248	7.11	0	0	0	0	1	0	0	0	0	0	1	0	20.00%	5	0	2	0	0	0.32	1	1	0	0	0	1	0	0
21	Justin Bailey	Ducks (ANA)	LW	9	1	3	4	-6	0	0	11	5	6	0	4	16.67%	0	55	6.14	0	1	1	1	1	0	0	0	0	3	0	0	0%	2	3	2	0	0	1.45	0	0	0	0	0	0	0	0
22	Tyler Graovac	Ducks (ANA)	C	42	0	2	2	-6	0	0	8	19	11	3	12	0%	5	304	7.24	0	0	0	0	1	0	0	0	0	21	0	0	52.48%	101	1	4	0	0	0.13	0	1	0	0	0	0	0	0
23	Antti Suomela	Ducks (ANA)	C	5	0	1	1	0	0	0	1	7	4	1	0	0%	0	34	6.98	0	0	0	0	0	0	0	0	0	1	0	0	87.50%	8	0	1	0	0	0.57	0	0	0	0	0	0	0	0
24	Kalle Kossila	Ducks (ANA)	LW	1	0	0	0	0	0	0	1	0	0	0	0	0%	0	1	1.20	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
25	Nikita Soshnikov	Ducks (ANA)	LW	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.13	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
26	Lucas Carlsson	Ducks (ANA)	D	2	0	0	0	2	4	0	1	4	2	1	2	0%	5	31	15.79	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
27	Buddy Robinson	Ducks (ANA)	RW	2	0	0	0	1	0	0	0	1	0	0	0	0%	1	13	6.63	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0	0	0	0	0	0	0	0
28	Samuel Bolduc	Ducks (ANA)	D	1	0	0	0	-1	0	0	4	0	2	1	0	0%	1	14	14.17	0	0	0	0	2	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
29	Vincent Iorio	Ducks (ANA)	D	1	0	0	0	-1	0	0	0	1	0	0	0	0%	0	18	18.88	0	0	0	0	0	0	0	0	0	5	0	0	0%	0	0	2	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1459	246	395	641	-85	1295	645	1956	2001	2634	870	1545	9.34%	835	23494	16.10	46	72	118	243	1927	2	3	5	36	1602	31	19	48.41%	5480	537	523	3	3	0.55	9	48	35	42	52	28	26	39

Show or Hide Columns

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	Collin Delia	Ducks (ANA)	75	32	28	13	0.906	2.92	4414	8	2	215	2281	882	5	1	0.711	38	75	7	7	7	5
2	Daniil Tarasov	Ducks (ANA)	13	5	3	1	0.896	3.29	584	0	0	32	307	155	1	0	0.750	8	7	75	0	1	0
Team Total or Average			88	37	31	14	0.905	2.97	4999	8	2	247	2588	1037	6	1		46	82	82	7	8	5

Show or Hide Columns

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	Acquired By	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10
A.J. Greer	Ducks (ANA)	LW	27	1996-12-14 05:26:22	Yes	208 Lbs	6 ft3	No	No	N/A	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Alexander True	Ducks (ANA)	C	26	1997-07-17 04:07:46	Yes	201 Lbs	6 ft5	No	No	N/A	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Anthony DeAngelo	Ducks (ANA)	D	28	1995-10-24 05:28:36	Yes	180 Lbs	5 ft11	No	No	N/A	No	No	3	Pro & Farm	3,000,000$	0$	0$	No	3,000,000$	3,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Antti Suomela	Ducks (ANA)	C	30	1994-03-17 04:05:06	Yes	179 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	575,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Buddy Robinson	Ducks (ANA)	RW	32	1991-09-30 14:12:29	Yes	231 Lbs	6 ft6	No	No	N/A	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Carl Grundstrom	Ducks (ANA)	LW	26	1997-12-01 04:49:55	Yes	195 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Collin Delia	Ducks (ANA)	G	29	1994-06-20 07:49:44	Yes	208 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	2,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Daniel Carr	Ducks (ANA)	RW	32	1991-10-31 07:15:35	Yes	194 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Daniil Tarasov	Ducks (ANA)	G	25	1999-03-27 13:49:56	Yes	196 Lbs	6 ft5	No	No	N/A	No	No	2	Pro & Farm	1,050,000$	0$	0$	No	1,050,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dwight King	Ducks (ANA)	RW	34	1989-07-05 05:11:13	No	242 Lbs	6 ft3	No	No	N/A	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Emil Bemstrom (Out of Payroll)	Ducks (ANA)	RW	24	1999-06-01 03:32:38	Yes	195 Lbs	6 ft0	No	No	N/A	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Geoff Platt	Ducks (ANA)	LW	38	1985-07-10 11:11:13	No	188 Lbs	5 ft9	No	No	N/A	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Glenn Gawdin	Ducks (ANA)	C	27	1997-03-25 12:24:12	Yes	192 Lbs	6 ft1	No	No	N/A	No	No	3	Pro & Farm	762,500$	0$	0$	No	762,500$	762,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Hudson Fasching	Ducks (ANA)	RW	28	1995-07-28 10:55:45	Yes	204 Lbs	6 ft3	No	No	N/A	No	No	2	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jake Bean	Ducks (ANA)	D	25	1998-06-09 09:01:27	Yes	196 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Joakim Nordstrom	Ducks (ANA)	RW	32	1992-02-25 05:11:13	No	194 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Justin Bailey	Ducks (ANA)	LW	28	1995-07-01 17:55:47	Yes	214 Lbs	6 ft4	No	No	N/A	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kalle Kossila	Ducks (ANA)	LW	31	1993-04-14 05:57:50	Yes	185 Lbs	5 ft10	No	No	N/A	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Kirill Marchenko	Ducks (ANA)	RW	23	2000-07-21 08:20:24	Yes	197 Lbs	6 ft3	No	No	N/A	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Liam O'Brien	Ducks (ANA)	LW	29	1994-07-29 14:15:17	Yes	213 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Lucas Carlsson	Ducks (ANA)	D	26	1997-07-05 03:25:45	Yes	190 Lbs	6 ft0	No	No	N/A	No	No	3	Pro & Farm	700,000$	0$	0$	No	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Marcus Pettersson	Ducks (ANA)	D	28	1996-05-08 06:03:21	Yes	177 Lbs	6 ft3	No	No	N/A	No	No	1	Pro & Farm	1,250,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mario Ferraro	Ducks (ANA)	D	25	1998-09-17 03:20:21	Yes	209 Lbs	6 ft0	No	No	N/A	No	No	3	Pro & Farm	3,000,000$	0$	0$	No	3,000,000$	3,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Mason McTavish	Ducks (ANA)	C	21	2003-01-30 08:23:08	Yes	213 Lbs	6 ft0	No	No	N/A	No	No	3	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Nikita Soshnikov	Ducks (ANA)	LW	30	1993-10-14 07:27:33	Yes	190 Lbs	5 ft11	No	No	N/A	No	No	1	Pro & Farm	575,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Niko Mikkola	Ducks (ANA)	D	28	1996-04-27 03:14:07	Yes	209 Lbs	6 ft4	No	No	N/A	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Pavol Regenda	Ducks (ANA)	LW	24	1999-12-07 03:18:35	Yes	212 Lbs	6 ft4	No	No	N/A	No	No	3	Pro & Farm	855,000$	0$	0$	No	855,000$	855,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Peyton Krebs	Ducks (ANA)	C	23	2001-01-26 13:53:15	Yes	187 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	863,333$	0$	0$	No	863,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ronnie Attard	Ducks (ANA)	D	25	1999-03-20 08:25:33	Yes	207 Lbs	6 ft3	No	No	N/A	No	No	3	Pro & Farm	883,750$	0$	0$	No	883,750$	883,750$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Samuel Bolduc	Ducks (ANA)	D	23	2000-12-09 08:29:15	Yes	220 Lbs	6 ft4	No	No	N/A	No	No	3	Pro & Farm	842,500$	0$	0$	No	842,500$	842,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Scott Sabourin	Ducks (ANA)	RW	31	1992-07-30 10:26:50	Yes	207 Lbs	6 ft3	No	No	N/A	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Shane Bowers	Ducks (ANA)	C	24	1999-07-30 08:31:07	Yes	185 Lbs	6 ft2	No	No	N/A	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Simon Benoit	Ducks (ANA)	D	25	1998-09-19 10:43:23	Yes	203 Lbs	6 ft3	No	No	N/A	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Simon Edvinsson	Ducks (ANA)	D	21	2003-02-05 08:32:43	Yes	198 Lbs	6 ft4	No	No	N/A	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Travis Boyd	Ducks (ANA)	C	30	1993-09-14 07:33:39	Yes	190 Lbs	6 ft0	No	No	N/A	No	No	3	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Tyler Graovac	Ducks (ANA)	C	31	1993-04-26 20:00:54	Yes	207 Lbs	6 ft5	No	No	N/A	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Vincent Iorio	Ducks (ANA)	D	21	2002-11-14 08:34:41	Yes	192 Lbs	6 ft2	No	No	N/A	No	No	3	Pro & Farm	845,000$	0$	0$	No	845,000$	845,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Yegor Chinakhov	Ducks (ANA)	RW	23	2001-02-01 08:36:21	Yes	204 Lbs	6 ft1	No	No	N/A	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Zach Senyshyn	Ducks (ANA)	RW	27	1997-03-30 14:24:49	Yes	207 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
39	27.18	200 Lbs	6 ft2	2.38	965,288$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Mason McTavish	Kirill Marchenko	35	1	2	2
2	Geoff Platt	Travis Boyd	Hudson Fasching	35	1	2	2
3	Carl Grundstrom	Peyton Krebs		25	1	2	2
4	Liam O'Brien	Alexander True	Yegor Chinakhov	5	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Anthony DeAngelo	Marcus Pettersson	35	1	2	2
2	Mario Ferraro	Niko Mikkola	35	1	2	2
3		Jake Bean	30	1	2	2
4	Anthony DeAngelo	Marcus Pettersson	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Mason McTavish	Kirill Marchenko	60	1	2	2
2	Geoff Platt	Travis Boyd	Hudson Fasching	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Anthony DeAngelo	Marcus Pettersson	60	1	2	2
2	Mario Ferraro	Niko Mikkola	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Mason McTavish	60	1	2	2
2	Travis Boyd	Geoff Platt	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Anthony DeAngelo	Marcus Pettersson	60	1	2	2
2	Mario Ferraro	Niko Mikkola	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	Anthony DeAngelo	Marcus Pettersson	60	1	2	2
2	Mason McTavish	40	1	2	2	Mario Ferraro	Niko Mikkola	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Mason McTavish	60	1	2	2
2	Travis Boyd	Geoff Platt	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Anthony DeAngelo	Marcus Pettersson	60	1	2	2
2	Mario Ferraro	Niko Mikkola	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Mason McTavish	Kirill Marchenko	Anthony DeAngelo	Marcus Pettersson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Mason McTavish	Kirill Marchenko	Anthony DeAngelo	Marcus Pettersson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Peyton Krebs, Carl Grundstrom, Liam O'Brien	Peyton Krebs, Carl Grundstrom	Liam O'Brien

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Jake Bean, Mario Ferraro		Jake Bean, Mario Ferraro

Penalty Shots
, Mason McTavish, Travis Boyd, Geoff Platt, Peyton Krebs

Goalie
#1 : Daniil Tarasov, #2 : Collin Delia

Custom OT Lines Forwards
, Mason McTavish, Travis Boyd, Geoff Platt, Peyton Krebs, Kirill Marchenko, Kirill Marchenko, Hudson Fasching, Carl Grundstrom, Liam O'Brien,

Custom OT Lines Defensemen
Anthony DeAngelo, Marcus Pettersson, Mario Ferraro, Niko Mikkola,

Show or Hide Columns

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	Avalanche	3	1	1	0	1	0	0	0	8	7	1	2	0	1	0	1	0	0	0	5	5	0	1	1	0	0	0	0	0	0	3	2	1	4	0.667	8	15	23	0	0	61	86	89	13	105	830	912	886	75	82	31	34	82	14	0	0.00%	7	1	85.71%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
2	Blackhawks	3	2	0	0	0	0	1	0	12	7	5	1	1	0	0	0	0	0	0	4	2	2	2	1	0	0	0	0	1	0	8	5	3	6	1.000	12	20	32	0	0	61	86	89	13	95	830	912	886	75	109	35	55	71	10	2	20.00%	10	2	80.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
3	Blues	3	2	0	0	0	1	0	0	10	9	1	1	1	0	0	0	0	0	0	5	4	1	2	1	0	0	0	1	0	0	5	5	0	5	0.833	10	17	27	0	0	61	86	89	13	81	830	912	886	75	87	33	48	81	7	4	57.14%	14	2	85.71%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
4	Bruins	3	0	1	0	2	0	0	0	9	8	1	2	0	1	0	1	0	0	0	6	6	0	1	0	0	0	1	0	0	0	3	2	1	4	0.667	9	16	25	0	0	61	86	89	13	104	830	912	886	75	92	36	54	78	4	0	0.00%	12	2	83.33%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
5	Canadiens	4	0	3	0	1	0	0	0	13	19	-6	1	0	0	0	1	0	0	0	4	3	1	3	0	3	0	0	0	0	0	9	16	-7	2	0.250	13	20	33	0	0	61	86	89	13	139	830	912	886	75	137	39	50	108	2	0	0.00%	10	3	70.00%	1	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
6	Canucks	5	1	1	0	1	0	1	1	16	14	2	3	0	1	0	1	0	1	0	8	7	1	2	1	0	0	0	0	0	1	8	7	1	7	0.700	16	27	43	0	0	61	86	89	13	170	830	912	886	75	160	46	87	117	17	3	17.65%	16	2	87.50%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
7	Capitals	4	1	1	0	0	0	0	2	14	14	0	1	0	0	0	0	0	0	1	2	3	-1	3	1	1	0	0	0	0	1	12	11	1	4	0.500	14	27	41	1	0	61	86	89	13	137	830	912	886	75	127	42	21	104	11	3	27.27%	3	0	100.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
8	Devils	3	1	1	0	0	0	0	1	10	9	1	1	0	0	0	0	0	0	1	2	3	-1	2	1	1	0	0	0	0	0	8	6	2	3	0.500	10	15	25	0	0	61	86	89	13	115	830	912	886	75	84	42	7	68	6	0	0.00%	1	0	100.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
9	Flames	5	4	1	0	0	0	0	0	19	10	9	3	2	1	0	0	0	0	0	11	8	3	2	2	0	0	0	0	0	0	8	2	6	8	0.800	19	34	53	0	1	61	86	89	13	141	830	912	886	75	141	48	166	128	30	8	26.67%	23	4	82.61%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
10	Flyers	3	0	2	0	0	0	0	1	8	14	-6	1	0	1	0	0	0	0	0	2	6	-4	2	0	1	0	0	0	0	1	6	8	-2	1	0.167	8	13	21	0	0	61	86	89	13	97	830	912	886	75	102	33	45	68	6	2	33.33%	5	2	60.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
11	Islanders	3	2	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	1	4	-3	2	2	0	0	0	0	0	0	6	2	4	4	0.667	7	13	20	0	1	61	86	89	13	104	830	912	886	75	102	32	10	71	6	1	16.67%	5	0	100.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
12	Kings	5	1	3	0	0	1	0	0	13	21	-8	3	1	2	0	0	0	0	0	9	13	-4	2	0	1	0	0	1	0	0	4	8	-4	3	0.300	13	22	35	0	0	61	86	89	13	140	830	912	886	75	147	55	158	136	17	3	17.65%	34	6	82.35%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
13	Maple Leafs	4	1	1	0	0	1	1	0	10	9	1	3	0	1	0	0	1	1	0	6	7	-1	1	1	0	0	0	0	0	0	4	2	2	5	0.625	10	16	26	0	0	61	86	89	13	131	830	912	886	75	148	51	24	90	6	0	0.00%	7	2	71.43%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
14	Oilers	5	2	3	0	0	0	0	0	13	15	-2	2	0	2	0	0	0	0	0	1	5	-4	3	2	1	0	0	0	0	0	12	10	2	4	0.400	13	21	34	0	0	61	86	89	13	163	830	912	886	75	161	46	167	171	27	4	14.81%	29	4	86.21%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
15	Penguins	3	0	1	0	0	1	0	1	6	11	-5	1	0	0	0	0	0	0	1	1	2	-1	2	0	1	0	0	1	0	0	5	9	-4	2	0.333	6	9	15	0	0	61	86	89	13	110	830	912	886	75	100	41	17	64	2	1	50.00%	6	0	100.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
16	Predators	3	0	2	0	0	1	0	0	8	12	-4	2	0	2	0	0	0	0	0	5	8	-3	1	0	0	0	0	1	0	0	3	4	-1	1	0.167	8	13	21	0	0	61	86	89	13	100	830	912	886	75	88	29	66	70	10	2	20.00%	13	2	84.62%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
17	Rangers	3	1	2	0	0	0	0	0	13	12	1	2	1	1	0	0	0	0	0	8	6	2	1	0	1	0	0	0	0	0	5	6	-1	2	0.333	13	23	36	0	0	61	86	89	13	111	830	912	886	75	95	31	42	53	7	3	42.86%	6	1	83.33%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
18	Red Wings	3	0	1	0	0	1	0	1	7	15	-8	2	0	1	0	0	0	0	1	5	12	-7	1	0	0	0	0	1	0	0	2	3	-1	2	0.333	7	11	18	0	0	61	86	89	13	98	830	912	886	75	102	41	10	62	6	3	50.00%	5	2	60.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
19	Sabres	3	2	1	0	0	0	0	0	12	8	4	1	1	0	0	0	0	0	0	3	2	1	2	1	1	0	0	0	0	0	9	6	3	4	0.667	12	21	33	0	0	61	86	89	13	92	830	912	886	75	111	45	23	74	6	0	0.00%	4	0	100.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
20	Senateurs	3	2	1	0	0	0	0	0	8	8	0	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	2	1	4	0.667	8	13	21	0	0	61	86	89	13	91	830	912	886	75	88	28	35	76	7	2	28.57%	10	1	90.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
21	Sharks	5	2	2	0	0	0	1	0	12	12	0	2	1	0	0	0	0	1	0	5	2	3	3	1	2	0	0	0	0	0	7	10	-3	6	0.600	12	18	30	0	0	61	86	89	13	152	830	912	886	75	143	47	147	134	26	4	15.38%	26	3	88.46%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
22	Stars	3	2	0	0	0	0	1	0	9	4	5	2	1	0	0	0	0	1	0	5	2	3	1	1	0	0	0	0	0	0	4	2	2	6	1.000	9	14	23	0	0	61	86	89	13	96	830	912	886	75	94	24	33	63	13	1	7.69%	10	1	90.00%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
23	Wild	3	0	2	0	0	0	0	1	9	12	-3	2	0	1	0	0	0	0	1	8	10	-2	1	0	1	0	0	0	0	0	1	2	-1	1	0.167	9	17	26	0	0	61	86	89	13	87	830	912	886	75	89	37	35	54	8	2	25.00%	11	1	90.91%	1	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
	Total	82	27	31	0	5	6	5	8	246	256	-10	41	10	17	0	4	1	4	5	111	126	-15	41	17	14	0	1	5	1	3	135	130	5	88	0.537	246	415	661	1	2	61	86	89	13	2659	830	912	886	75	2589	892	1334	2023	248	48	19.35%	267	41	84.64%	2	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
	_Since Last GM Reset	82	27	31	0	5	6	5	8	246	256	-10	41	10	17	0	4	1	4	5	111	126	-15	41	17	14	0	1	5	1	3	135	130	5	88	0.537	246	415	661	1	2	61	86	89	13	2659	830	912	886	75	2589	892	1334	2023	248	48	19.35%	267	41	84.64%	2	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
	_Vs Conference	43	17	15	0	2	3	4	2	129	123	6	23	7	10	0	2	0	3	1	66	66	0	20	10	5	0	0	3	1	1	63	57	6	51	0.593	129	218	347	0	1	61	86	89	13	1330	830	912	886	75	1301	431	996	1107	179	33	18.44%	193	28	85.49%	1	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709
	_Vs Division	25	10	10	0	1	1	2	1	73	72	1	13	4	6	0	1	0	2	0	34	35	-1	12	6	4	0	0	1	0	1	39	37	2	28	0.560	73	122	195	0	1	61	86	89	13	766	830	912	886	75	752	242	725	686	117	22	18.80%	128	19	85.16%	0	1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%	1766	1021	1811	742	1428	709

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	88	L3	246	415	661	2659	2589	892	1334	2023	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	27	31	5	6	5	8	246	256

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	10	17	4	1	4	5	111	126

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	14	1	5	1	3	135	130

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
248	48	19.35%	267	41	84.64%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
830	912	886	75	61	86	89	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1025	2072	49.47%	997	2084	47.84%	620	1233	50.28%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1766	1021	1811	742	1428	709

Last Played Games Show or Hide Columns

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	1	Ducks	4	Canadiens	7	AL				BoxScore
3	16	Ducks	2	Oilers	4	AL				BoxScore
4	22	Kings	2	Ducks	4	BW			R5	BoxScore
7	42	Canucks	2	Ducks	3	BW	X			BoxScore
9	55	Bruins	3	Ducks	2	BL				BoxScore
11	64	Ducks	5	Flames	0	AW			R5	BoxScore
13	72	Ducks	3	Sharks	2	AW			R5	BoxScore
14	76	Ducks	5	Capitals	1	AW				BoxScore
17	90	Flames	3	Ducks	7	BW			R5	BoxScore
20	105	Ducks	5	Oilers	3	AW				BoxScore
23	117	Maple Leafs	1	Ducks	0	BL				BoxScore
25	132	Sharks	1	Ducks	2	BW	X	X	R5	BoxScore
27	145	Ducks	4	Islanders	2	AW				BoxScore
29	153	Ducks	5	Canucks	3	AW			R2	BoxScore
31	165	Red Wings	4	Ducks	3	BL	X	X		BoxScore
33	178	Ducks	2	Capitals	4	AL				BoxScore
35	187	Rangers	2	Ducks	5	BW				BoxScore
39	201	Ducks	3	Canucks	4	AL	X	X	R2	BoxScore
41	212	Ducks	4	Maple Leafs	2	AW				BoxScore
42	219	Blackhawks	2	Ducks	4	BW				BoxScore
45	236	Capitals	3	Ducks	2	BL	X	X		BoxScore
49	257	Sharks	1	Ducks	3	BW			R5	BoxScore
51	268	Ducks	5	Capitals	6	AL	X	X		BoxScore
52	276	Canucks	2	Ducks	3	BW	X	X	R2	BoxScore
55	288	Ducks	2	Islanders	0	AW				BoxScore
57	301	Ducks	3	Bruins	2	AW	X			BoxScore
58	309	Senateurs	2	Ducks	3	BW				BoxScore
61	327	Predators	5	Ducks	3	BL				BoxScore
63	335	Ducks	3	Predators	4	AL	X			BoxScore
66	349	Flames	1	Ducks	2	BW			R5	BoxScore
69	364	Ducks	4	Stars	2	AW				BoxScore
71	377	Senateurs	4	Ducks	2	BL				BoxScore
73	386	Ducks	4	Blackhawks	2	AW				BoxScore
75	397	Ducks	2	Blues	3	AL	X			BoxScore
77	402	Flames	4	Ducks	2	BL			R5	BoxScore
81	417	Ducks	3	Flames	2	AW				BoxScore
82	427	Flyers	6	Ducks	2	BL				BoxScore
85	441	Ducks	5	Oilers	3	AW				BoxScore
86	449	Avalanche	2	Ducks	1	BL			R2	BoxScore
89	460	Ducks	4	Canadiens	7	AL				BoxScore
92	473	Rangers	4	Ducks	3	BL				BoxScore
97	496	Canucks	3	Ducks	2	BL			R2	BoxScore
99	508	Ducks	1	Canadiens	2	AL				BoxScore
100	518	Kings	7	Ducks	4	BL			R5	BoxScore
103	535	Ducks	4	Blackhawks	3	AW	X	X		BoxScore
105	543	Sabres	2	Ducks	3	BW				BoxScore
107	551	Ducks	6	Devils	3	AW				BoxScore
110	568	Penguins	2	Ducks	1	BL	X	X		BoxScore
112	576	Ducks	5	Rangers	6	AL				BoxScore
115	590	Predators	3	Ducks	2	BL				BoxScore
117	598	Ducks	2	Devils	3	AL				BoxScore
120	615	Maple Leafs	4	Ducks	3	BL	X			BoxScore
122	627	Ducks	3	Kings	4	AL	X		R5	BoxScore
124	636	Bruins	3	Ducks	4	BW	X			BoxScore
125	646	Ducks	3	Sabres	5	AL				BoxScore
128	660	Ducks	1	Wild	2	AL			R2	BoxScore
129	668	Devils	3	Ducks	2	BL	X	X		BoxScore
133	682	Ducks	3	Avalanche	2	AW			R2	BoxScore
135	690	Maple Leafs	2	Ducks	3	BW	X	X		BoxScore
137	704	Ducks	1	Kings	4	AL			R5	BoxScore
139	712	Canadiens	3	Ducks	4	BW	X			BoxScore
141	723	Ducks	3	Flyers	4	AL	X	X		BoxScore
142	733	Ducks	3	Senateurs	2	AW				BoxScore
144	739	Blues	4	Ducks	5	BW				BoxScore
148	761	Red Wings	8	Ducks	2	BL				BoxScore
151	775	Ducks	3	Blues	2	AW				BoxScore
152	785	Kings	4	Ducks	1	BL			R5	BoxScore
156	806	Islanders	4	Ducks	1	BL				BoxScore
158	818	Ducks	3	Flyers	4	AL				BoxScore
160	831	Ducks	2	Red Wings	3	AL	X			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
161	835	Wild	4	Ducks	3	BL	X	X	R2	BoxScore
163	847	Ducks	2	Penguins	3	AL	X			BoxScore
164	855	Stars	1	Ducks	2	BW	X	X		BoxScore
167	866	Ducks	2	Sharks	4	AL			R5	BoxScore
169	882	Stars	1	Ducks	3	BW				BoxScore
170	888	Ducks	2	Sharks	4	AL			R5	BoxScore
173	907	Avalanche	3	Ducks	4	BW	X			BoxScore
176	923	Oilers	2	Ducks	1	BL				BoxScore
180	936	Ducks	6	Sabres	1	AW				BoxScore
183	951	Wild	6	Ducks	5	BL			R2	BoxScore
184	959	Ducks	3	Penguins	6	AL				BoxScore
191	978	Oilers	3	Ducks	0	BL				BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	25
Attendance	80,424	40,276
Attendance PCT	98.08%	98.23%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2944 - 98.13%	125,838$	5,159,347$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
5,942,022$	3,684,625$	1,877,125$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	3,942,045$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	29,454$	0$

Ducks Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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

Ducks Goalies Stat Leaders (Regular Season)

Show or Hide Columns

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

Ducks Career Team Stats

Show or Hide Columns

	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

Ducks Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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

Ducks Goalies Stat Leaders (Play-Off)

Show or Hide Columns

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

	Ducks
	GP: 82 \| W: 37 \| L: 31 \| OTL: 14 \| P: 88 GF: 246 \| GA: 256 \| PP%: 19.35% \| PK%: 84.64% GM : Sébastien Charbonneau \| Morale : 49 \| Team Overall : 66