Red Wings
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Griffins 26-21-9, 61pts	6	FINAL	4	Eagles 26-21-7, 59pts

Team Stats
W3	Streak	W1
14-10-4	Home Record	14-9-5
12-11-5	Away Record	12-12-2
6-2-2	Last 10 Games	7-3-0
4.09	Goals Per Game	4.50
4.14	Goals Against Per Game	4.63
17.65%	Power Play Percentage	23.81%
76.21%	Penalty Kill Percentage	78.63%

Senators
26-27-6, 58pts

FINAL

Griffins
26-21-9, 61pts

Team Stats
W1	Streak	W3
15-11-2	Home Record	14-10-4
11-16-4	Away Record	12-11-5
4-5-1	Last 10 Games	6-2-2
4.42	Goals Per Game	4.09
4.58	Goals Against Per Game	4.14
24.68%	Power Play Percentage	17.65%
78.45%	Penalty Kill Percentage	76.21%

Condors
29-22-8, 66pts

2023-03-16

Griffins
26-21-9, 61pts

Team Stats
L1	Streak	W3
12-11-5	Home Record	14-10-4
17-11-3	Away Record	12-11-5
5-3-2	Last 10 Games	6-2-2
3.83	Goals Per Game	4.09
4.03	Goals Against Per Game	4.09
17.67%	Power Play Percentage	17.65%
82.51%	Penalty Kill Percentage	76.21%

Griffins
26-21-9, 61pts

2023-03-19

Heat
30-26-3, 63pts

Team Stats
W3	Streak	L3
14-10-4	Home Record	15-12-1
12-11-5	Away Record	15-14-2
6-2-2	Last 10 Games	2-8-0
4.09	Goals Per Game	4.12
4.14	Goals Against Per Game	4.12
17.65%	Power Play Percentage	26.94%
76.21%	Penalty Kill Percentage	75.00%

Griffins
26-21-9, 61pts

2023-03-21

Phantoms
27-23-6, 60pts

Team Stats
W3	Streak	SOL1
14-10-4	Home Record	11-13-4
12-11-5	Away Record	16-10-2
6-2-2	Last 10 Games	5-3-2
4.09	Goals Per Game	4.29
4.14	Goals Against Per Game	4.29
17.65%	Power Play Percentage	22.84%
76.21%	Penalty Kill Percentage	79.68%

Team Leaders
	Goals Riley Armstrong 29	Assists Tyler Bertuzzi 37

	Points Riley Armstrong 61	Plus/Minus Danny Kristo 15

	Wins Ilya Samsonov 21	Save Percentage Ilya Samsonov 0.883

Team Stats
Goals For 229 4.09 GFG	Shots For 1795 32.05 Avg	Power Play Percentage 17.6% 36 GF	Offensive Zone Start 36.2%
Goals Against 232 4.14 GAA	Shots Against 1837 32.80 Avg	Penalty Kill Percentage 76.2%% 59 GA	Defensive Zone Start 37.2%

Team Info
	General Manager	Eric Poulin
	Coach	Kirk Muller
	Division	Thayer-Tutt
	Conference	Robert-Lebel
	Captain	Riley Armstrong
	Assistant #1	Joe Morrow
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,769
	Season Tickets	300
Roster Info
	Pro Team	35
	Farm Team	19
	Contract Limit	54 / 250
	Prospects	0

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	Tyler Bertuzzi (R)			X		100.00	79	35	77	73	81	66	87	77	68	76	76	73	67	59	49	51	44	73	0	22	1	950,000$
2	Danny Kristo			X		100.00	71	35	74	75	71	75	74	76	70	75	72	67	76	61	52	31	52	71	0	27	1	950,000$
3	Lucas Lessio (R)		X			100.00	62	31	79	77	74	76	73	75	63	71	83	65	69	57	50	39	47	71	0	24	1	950,000$
4	Riley Armstrong (C)	X				100.00	77	38	67	72	69	58	64	84	69	73	69	70	61	81	83	14	47	71	0	33	1	975,000$
5	Brendan Woods		X			100.00	63	27	78	75	79	85	69	66	73	76	70	74	67	59	54	35	47	70	0	25	1	900,000$
6	Roope Hintz (R)		X			100.00	78	46	75	76	73	69	74	69	67	76	75	67	73	52	45	62	29	70	0	21	3	975,000$
7	Martin Frk (R)			X		100.00	66	26	79	73	69	77	71	79	74	76	72	57	61	51	51	41	24	69	0	24	2	900,000$
8	Sonny Milano (R)		X			100.00	63	30	76	79	63	75	63	80	68	72	69	59	78	48	44	57	37	68	0	21	2	800,000$
9	Vladislav Namestnikov	X				100.00	68	30	77	70	76	71	72	73	68	73	71	55	69	56	57	35	25	68	0	25	1	800,000$
10	Nico Hischier (R)	X				100.00	58	35	80	66	52	69	66	71	79	84	64	42	58	40	40	78	36	64	0	18	2	500,000$
11	Troy Terry (R)			X		100.00	61	32	79	75	57	65	54	75	62	63	64	62	72	42	43	60	47	64	0	20	4	600,000$
12	Klim Kostin (R)		X			100.00	58	23	74	52	70	61	67	53	53	64	85	40	67	40	40	85	21	60	0	18	2	500,000$
13	Joe Morrow (A)				X	100.00	71	25	76	78	71	70	76	76	49	80	65	74	58	72	57	37	46	72	0	25	2	950,000$
14	Dmitri Orlov				X	100.00	69	24	79	78	68	74	86	84	53	77	65	70	60	65	50	33	47	71	0	26	1	950,000$
15	Chris Bigras (R)				X	100.00	68	25	86	73	68	77	72	67	53	73	51	78	60	58	46	49	20	70	0	22	1	900,000$
16	Ian McCoshen (R)				X	100.00	69	42	77	77	72	69	65	66	60	71	65	72	63	48	46	49	47	69	0	22	2	800,000$
17	Ryan Pulock (R)				X	100.00	70	26	85	68	60	73	79	66	49	72	76	72	70	57	50	52	35	69	0	23	1	900,000$
18	Ryan Lindgren (R)				X	100.00	65	34	83	68	57	65	56	48	35	56	46	72	44	41	41	70	34	61	0	19	1	500,000$
Scratches
1	Greg McKegg	X				100.00	61	36	77	75	62	63	64	71	61	68	70	58	66	48	49	30	19	65	0	25	1	650,000$
2	Tanner Kero		X			100.00	65	34	69	72	66	69	71	71	58	65	73	48	68	55	55	31	20	65	0	25	1	500,000$
3	Tomas Hyka (R)			X		100.00	58	33	72	63	60	60	60	62	77	81	63	53	57	46	47	29	20	62	0	24	1	450,000$
4	Lias Andersson (R)	X				100.00	56	37	80	62	67	75	64	60	57	69	59	63	57	42	43	73	19	61	0	19	2	500,000$
5	Michael Bunting (R)		X			100.00	70	42	61	64	78	53	71	65	56	59	70	52	52	43	43	45	20	61	0	21	1	500,000$
6	Morgan Barron (R)		X			100.00	72	49	65	60	84	44	80	66	43	63	66	51	46	41	41	67	20	60	0	19	2	500,000$
7	Cody Glass (R)	X				100.00	53	28	71	57	48	60	65	62	71	76	63	44	50	40	40	82	26	59	0	18	2	500,000$
8	Jack Ramsey (R)			X		100.00	48	39	79	60	62	76	64	53	62	67	61	53	51	43	43	43	20	59	0	21	2	500,000$
9	Jack Studnicka (R)			X		100.00	65	37	73	55	54	56	54	66	58	54	66	50	65	40	40	78	20	58	0	18	2	500,000$
10	Nick Swaney (R)			X		100.00	48	36	70	60	65	63	59	61	49	52	68	36	62	45	44	48	20	56	0	20	2	500,000$
11	Konrad Abeltshauser				X	100.00	63	49	72	70	70	74	59	56	38	68	55	69	49	47	47	29	20	65	0	25	1	500,000$
12	Sebastian Ahaut (R)				X	100.00	53	35	82	69	56	62	69	79	44	73	52	67	49	47	46	60	21	64	0	21	2	500,000$
13	Conor Timmins (R)				X	100.00	59	40	67	63	55	60	55	57	36	56	52	61	46	43	43	55	20	58	0	19	2	500,000$

	TEAM AVERAGE					100.00	64	34	75	69	66	67	68	68	59	70	66	60	61	51	48	50	31	65

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	Ilya Samsonov	100.00	83	66	74	89	90	69	62	72	79	65	86	54	44	66	30	74	0	20	4	950,000$
2	Adam Werner (R)	100.00	75	56	61	71	78	54	53	66	67	56	77	42	42	73	30	63	0	20	1	500,000$
Scratches
1	Marcus Hogberg	100.00	61	75	59	75	76	67	72	79	71	65	56	47	45	37	19	69	0	23	2	600,000$
2	Philippe Desrosiers	100.00	70	47	66	77	73	60	53	63	64	53	74	44	44	47	20	62	0	22	3	875,000$

	TEAM AVERAGE	100.00	72	61	65	78	79	63	60	70	70	60	73	47	44	56	25	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kirk Muller	79	74	72	83	34	67	60	CAN	47	1	850,000$

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	HT	P/20	PSG	PSS	S1	S2	S3
1	Riley Armstrong	Griffins (Det)	C	56	29	32	61	8	62	0	116	88	141	46	86	20.57%	20	979	17.49	6	4	10	15	148	1	0	1	8	110	2	1	51.06%	803	27	15	0	1.25	3	6	3	5	3
2	Tyler Bertuzzi	Griffins (Det)	RW	38	20	37	57	7	34	0	56	41	135	42	81	14.81%	16	777	20.46	6	8	14	16	109	0	0	0	0	25	2	0	50.00%	52	26	21	0	1.47	0	0	0	4	3
3	Danny Kristo	Griffins (Det)	RW	48	22	32	54	15	36	0	113	62	140	45	82	15.71%	31	983	20.50	7	6	13	20	141	1	0	1	5	138	3	2	53.42%	234	37	17	3	1.10	0	5	6	3	1
4	Roope Hintz	Griffins (Det)	LW	52	19	31	50	-16	40	0	97	56	159	39	75	11.95%	24	927	17.83	6	10	16	18	163	0	0	0	2	54	4	1	45.19%	104	28	13	0	1.08	2	5	1	3	3
5	Sonny Milano	Griffins (Det)	LW	56	20	29	49	9	38	0	75	51	142	47	82	14.08%	18	868	15.50	2	7	9	18	156	0	0	0	0	4	1	2	48.89%	45	27	21	1	1.13	2	3	4	0	4
6	Lucas Lessio	Griffins (Det)	LW	56	16	25	41	15	22	0	73	57	139	62	91	11.51%	15	911	16.28	3	3	6	9	124	0	1	1	4	90	2	1	39.58%	48	29	21	0	0.90	0	3	2	1	1
7	Brendan Woods	Griffins (Det)	LW	56	13	16	29	-4	26	0	69	82	88	22	53	14.77%	27	940	16.80	0	4	4	4	116	1	1	2	6	202	0	1	54.70%	117	20	15	0	0.62	2	2	2	1	0
8	Nico Hischier	Griffins (Det)	C	52	8	18	26	-5	20	0	58	63	67	32	52	11.94%	14	794	15.28	0	4	4	7	151	0	0	0	0	40	0	1	53.30%	439	13	3	0	0.65	0	0	1	0	2
9	Dmitri Orlov	Griffins (Det)	D	56	7	19	26	6	28	0	56	71	65	34	29	10.77%	55	1069	19.09	4	0	4	7	129	0	0	0	1	34	1	1	0.00%	0	18	26	0	0.49	0	0	0	1	1
10	Joe Morrow	Griffins (Det)	D	55	1	24	25	2	36	0	70	81	76	42	34	1.32%	76	1172	21.32	0	4	4	12	195	0	1	1	1	109	0	0	0.00%	0	16	33	0	0.43	0	0	0	0	1
11	Martin Frk	Griffins (Det)	RW	40	8	16	24	5	43	5	45	43	88	34	48	9.09%	13	634	15.86	0	2	2	8	86	0	0	0	0	27	1	1	58.00%	50	16	12	1	0.76	0	0	2	2	1
12	Troy Terry	Griffins (Det)	RW	56	11	9	20	1	4	0	34	47	61	21	46	18.03%	14	559	9.99	0	0	0	0	6	0	0	0	0	0	2	0	53.85%	13	13	7	1	0.72	0	2	1	1	0
13	Chris Bigras	Griffins (Det)	D	51	3	14	17	3	12	0	49	98	48	20	19	6.25%	74	1129	22.14	0	0	0	0	4	0	0	0	2	168	0	0	0.00%	0	13	50	0	0.30	0	0	0	1	0
14	Ryan Pulock	Griffins (Det)	D	55	5	11	16	6	10	0	61	88	60	19	35	8.33%	85	1076	19.57	1	0	1	1	9	0	1	1	1	147	1	0	0.00%	0	17	25	0	0.30	0	1	1	0	0
15	Ian McCoshen	Griffins (Det)	D	56	1	13	14	10	38	0	49	70	60	19	21	1.67%	58	981	17.53	0	0	0	1	17	0	0	0	1	151	0	0	0.00%	0	6	28	0	0.29	0	0	0	1	1
16	Ryan Lindgren	Griffins (Det)	D	53	2	7	9	11	8	0	34	51	37	18	5	5.41%	51	730	13.78	0	0	0	0	0	0	0	0	0	113	0	0	0.00%	0	1	19	0	0.25	0	0	0	0	0
17	Vladislav Namestnikov	Griffins (Det)	C	19	4	4	8	-4	6	0	19	20	33	7	22	12.12%	5	189	9.95	0	0	0	0	4	0	0	0	0	16	1	0	58.65%	104	6	5	0	0.85	0	0	0	0	1
18	Tanner Kero	Griffins (Det)	LW	21	4	2	6	1	8	0	21	9	22	8	23	18.18%	0	166	7.94	0	0	0	0	0	0	0	0	0	0	0	1	0.00%	3	7	0	0	0.72	0	0	0	0	0
19	Klim Kostin	Griffins (Det)	LW	29	1	4	5	2	10	0	24	13	20	4	6	5.00%	4	296	10.23	0	0	0	0	9	0	0	0	1	27	0	0	44.44%	9	10	2	0	0.34	0	0	0	0	0
20	Lias Andersson	Griffins (Det)	C	21	2	2	4	0	4	0	11	13	14	1	7	14.29%	6	160	7.66	0	0	0	0	6	0	0	0	0	1	0	0	48.33%	60	1	2	0	0.50	0	0	0	0	0
21	Jack Studnicka	Griffins (Det)	RW	10	1	2	3	2	4	0	14	5	8	3	2	12.50%	3	98	9.82	0	0	0	0	1	0	0	0	0	12	0	0	33.33%	15	0	0	0	0.61	0	0	0	0	0
22	Greg McKegg	Griffins (Det)	C	5	2	1	3	2	0	0	2	3	9	3	3	22.22%	2	48	9.68	0	0	0	0	0	0	0	0	1	7	0	0	35.29%	17	1	0	0	1.24	0	0	0	0	0
23	Sebastian Ahaut	Griffins (Det)	D	19	1	1	2	6	0	0	6	14	7	2	2	14.29%	7	180	9.52	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	1	6	0	0.22	0	0	0	0	0
24	Cody Glass	Griffins (Det)	C	46	1	0	1	-2	2	0	8	11	17	4	4	5.88%	2	199	4.34	0	0	0	0	1	0	0	0	0	3	1	0	51.28%	39	1	4	0	0.10	0	0	0	0	0
Team Total or Average				1006	201	349	550	80	491	5	1160	1137	1636	574	908	12.29%	620	15876	15.78	35	52	87	136	1585	3	4	7	33	1492	21	12	51.49%	2152	334	345	6	0.69	9	27	23	23	22

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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ilya Samsonov	Griffins (Det)	42	21	16	5	0.883	3.88	2427	2	157	1340	639	7	1	0.696	23	40	11	1	0	2
2	Adam Werner	Griffins (Det)	17	7	4	2	0.882	4.03	878	0	59	499	291	3	1	0.300	10	13	25	0	1	1
3	Marcus Hogberg	Griffins (Det)	7	1	3	1	0.830	5.87	286	0	28	165	82	0	0	0.00%	0	5	15	0	0	0
Team Total or Average			66	29	23	8	0.878	4.08	3593	2	244	2004	1012	10	2		33	58	51	1	1	3

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
Adam Werner	Griffins (Det)	G	20	1997-01-01	Yes	205 Lbs	6 ft5	No	No	No	1	Pro & Farm	500,000$	162,621$	0$	0$	No				Link
Brendan Woods	Griffins (Det)	LW	25	1992-01-01	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	900,000$	292,718$	0$	0$	No				Link
Chris Bigras	Griffins (Det)	D	22	1995-01-01	Yes	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	292,718$	0$	0$	No				Link
Cody Glass	Griffins (Det)	C	18	1999-01-01	Yes	206 Lbs	6 ft3	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Conor Timmins	Griffins (Det)	D	19	1998-01-01	Yes	202 Lbs	6 ft2	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Danny Kristo	Griffins (Det)	RW	27	1990-01-01	No	172 Lbs	5 ft11	No	No	No	1	Pro & Farm	950,000$	308,981$	0$	0$	No
Dmitri Orlov	Griffins (Det)	D	26	1991-01-01	No	210 Lbs	6 ft0	No	No	No	1	Pro & Farm	950,000$	308,981$	0$	0$	No
Greg McKegg	Griffins (Det)	C	25	1992-01-01	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	211,408$	0$	0$	No
Ian McCoshen	Griffins (Det)	D	22	1995-01-01	Yes	185 Lbs	6 ft3	No	No	No	2	Pro & Farm	800,000$	260,194$	0$	0$	No	900,000$			Link
Ilya Samsonov	Griffins (Det)	G	20	1997-01-01	No	208 Lbs	6 ft3	No	No	No	4	Pro & Farm	950,000$	308,981$	0$	0$	No	1,700,000$	2,500,000$	3,500,000$	Link
Jack Ramsey	Griffins (Det)	RW	21	1996-01-01	Yes	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Jack Studnicka	Griffins (Det)	RW	18	1999-01-01	Yes	196 Lbs	6 ft2	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Joe Morrow	Griffins (Det)	D	25	1992-01-01	No	199 Lbs	6 ft0	No	No	No	2	Pro & Farm	950,000$	308,981$	0$	0$	No	950,000$
Klim Kostin	Griffins (Det)	LW	18	1999-01-01	Yes	215 Lbs	6 ft3	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Konrad Abeltshauser	Griffins (Det)	D	25	1992-01-01	No	225 Lbs	6 ft5	No	No	No	1	Pro & Farm	500,000$	162,621$	0$	0$	No
Lias Andersson	Griffins (Det)	C	19	1998-01-01	Yes	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Lucas Lessio	Griffins (Det)	LW	24	1993-01-01	Yes	213 Lbs	6 ft1	No	No	No	1	Pro & Farm	950,000$	308,981$	0$	0$	No
Marcus Hogberg	Griffins (Det)	G	23	1994-01-01	No	185 Lbs	6 ft4	No	No	No	2	Pro & Farm	600,000$	195,146$	0$	0$	No	600,000$			Link
Martin Frk	Griffins (Det)	RW	24	1993-01-01	Yes	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	900,000$	292,718$	0$	0$	No	900,000$			Link
Michael Bunting	Griffins (Det)	LW	21	1996-01-01	Yes	197 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	162,621$	0$	0$	No				Link
Morgan Barron	Griffins (Det)	LW	19	1998-01-01	Yes	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Nick Swaney	Griffins (Det)	RW	20	1997-01-01	Yes	175 Lbs	5 ft10	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Nico Hischier	Griffins (Det)	C	18	1999-01-01	Yes	175 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Philippe Desrosiers	Griffins (Det)	G	22	1995-01-01	No	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	875,000$	284,587$	0$	0$	No	875,000$	875,000$		Link
Riley Armstrong	Griffins (Det)	C	33	1984-01-01	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	975,000$	317,112$	0$	0$	No
Roope Hintz	Griffins (Det)	LW	21	1996-01-01	Yes	220 Lbs	6 ft3	No	No	No	3	Pro & Farm	975,000$	317,112$	0$	0$	No	1,500,000$	2,250,000$		Link
Ryan Lindgren	Griffins (Det)	D	19	1998-01-01	Yes	198 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	162,621$	0$	0$	No				Link
Ryan Pulock	Griffins (Det)	D	23	1994-01-01	Yes	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	292,718$	0$	0$	No				Link
Sebastian Ahaut	Griffins (Det)	D	21	1996-01-01	Yes	184 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	162,621$	0$	0$	No	500,000$			Link
Sonny Milano	Griffins (Det)	LW	21	1996-01-01	Yes	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	800,000$	260,194$	0$	0$	No	900,000$			Link
Tanner Kero	Griffins (Det)	LW	25	1992-01-01	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	162,621$	0$	0$	No
Tomas Hyka	Griffins (Det)	RW	24	1993-01-01	Yes	160 Lbs	5 ft10	No	No	No	1	Pro & Farm	450,000$	146,359$	0$	0$	No				Link
Troy Terry	Griffins (Det)	RW	20	1997-01-01	Yes	180 Lbs	6 ft0	No	No	No	4	Pro & Farm	600,000$	195,146$	0$	0$	No	700,000$	800,000$	900,000$	Link
Tyler Bertuzzi	Griffins (Det)	RW	22	1995-01-01	Yes	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	950,000$	308,981$	0$	0$	No				Link
Vladislav Namestnikov	Griffins (Det)	C	25	1992-01-01	No	180 Lbs	5 ft11	No	No	No	1	Pro & Farm	800,000$	260,194$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
35	22.14	194 Lbs	6 ft1	1.71	695,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Sonny Milano	Riley Armstrong	Tyler Bertuzzi	40	1	2	2
2	Roope Hintz	Nico Hischier	Danny Kristo	30	1	2	2
3	Lucas Lessio	Brendan Woods	Martin Frk	20	1	2	2
4	Klim Kostin	Vladislav Namestnikov	Troy Terry	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Chris Bigras	Joe Morrow	40	1	4	0
2	Dmitri Orlov	Ian McCoshen	30	1	4	0
3	Ryan Lindgren	Ryan Pulock	20	1	4	0
4	Joe Morrow	Ryan Pulock	10	1	4	0

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Roope Hintz	Riley Armstrong	Tyler Bertuzzi	60	1	2	2
2	Danny Kristo	Nico Hischier	Lucas Lessio	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Joe Morrow	Sonny Milano	60	1	2	2
2	Dmitri Orlov	Ian McCoshen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Riley Armstrong	Brendan Woods	60	1	2	2
2	Danny Kristo	Tyler Bertuzzi	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Joe Morrow	Ryan Pulock	60	1	2	2
2	Chris Bigras	Ryan Lindgren	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Brendan Woods	60	1	2	2	Joe Morrow	Ryan Pulock	60	1	2	2
2	Riley Armstrong	40	1	2	2	Ian McCoshen	Chris Bigras	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Riley Armstrong	Tyler Bertuzzi	60	1	2	2
2	Roope Hintz	Danny Kristo	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian McCoshen	Dmitri Orlov	60	1	2	2
2	Joe Morrow	Chris Bigras	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tyler Bertuzzi	Riley Armstrong	Danny Kristo	Joe Morrow	Dmitri Orlov

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brendan Woods	Riley Armstrong	Lucas Lessio	Joe Morrow	Ian McCoshen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Roope Hintz, Danny Kristo, Brendan Woods	Martin Frk, Vladislav Namestnikov	Martin Frk

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ian McCoshen, Chris Bigras, Dmitri Orlov	Ryan Pulock	Ian McCoshen, Dmitri Orlov

Penalty Shots
Sonny Milano, Danny Kristo, Roope Hintz, Troy Terry, Riley Armstrong

Goalie
#1 : Ilya Samsonov, #2 : Adam Werner

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	Admirals	3	1	1	0	0	0	0	1	9	12	-3	1	0	1	0	0	0	0	0	1	5	-4	2	1	0	0	0	0	0	1	8	7	1	3	0.500	9	15	24	0	0	65	81	78	12	89	595	580	598	57	114	30	34	56	7	2	28.57%	17	2	88.24%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
2	Barracuda	5	4	0	0	0	0	1	0	27	13	14	3	2	0	0	0	0	1	0	14	7	7	2	2	0	0	0	0	0	0	13	6	7	10	1.000	27	41	68	0	0	65	81	78	12	168	595	580	598	57	176	65	67	115	23	4	17.39%	27	5	81.48%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
3	Bears	3	1	0	0	1	0	0	1	14	13	1	2	0	0	0	1	0	0	1	10	10	0	1	1	0	0	0	0	0	0	4	3	1	5	0.833	14	23	37	0	0	65	81	78	12	115	595	580	598	57	87	39	18	74	8	0	0.00%	9	5	44.44%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
4	Comets	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	9	14	0	0	65	81	78	12	43	595	580	598	57	27	7	6	14	4	0	0.00%	3	0	100.00%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
5	Condors	3	0	1	0	1	0	0	1	12	14	-2	2	0	1	0	1	0	0	0	8	9	-1	1	0	0	0	0	0	0	1	4	5	-1	3	0.500	12	20	32	0	0	65	81	78	12	73	595	580	598	57	102	32	28	68	21	3	14.29%	14	4	71.43%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
6	Crunch	2	1	0	0	0	0	0	1	10	8	2	1	1	0	0	0	0	0	0	5	2	3	1	0	0	0	0	0	0	1	5	6	-1	3	0.750	10	16	26	0	0	65	81	78	12	52	595	580	598	57	57	26	12	47	6	3	50.00%	6	0	100.00%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
7	Devils	3	1	1	0	0	0	0	1	14	13	1	2	1	0	0	0	0	0	1	11	8	3	1	0	1	0	0	0	0	0	3	5	-2	3	0.500	14	25	39	0	0	65	81	78	12	99	595	580	598	57	117	41	34	77	3	0	0.00%	17	3	82.35%	1	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
8	Eagles	2	2	0	0	0	0	0	0	15	9	6	1	1	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	6	4	2	4	1.000	15	27	42	0	0	65	81	78	12	67	595	580	598	57	68	20	22	40	7	1	14.29%	11	4	63.64%	1	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
9	Heat	2	0	1	0	0	1	0	0	7	10	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	0	1	0	0	6	7	-1	1	0.250	7	11	18	0	0	65	81	78	12	68	595	580	598	57	66	21	14	39	6	1	16.67%	7	4	42.86%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
10	Icehogs	2	1	1	0	0	0	0	0	7	10	-3	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	7	12	19	0	0	65	81	78	12	51	595	580	598	57	58	20	20	42	7	0	0.00%	10	2	80.00%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
11	Little Stars	2	0	1	0	0	0	1	0	5	6	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	0	1	0	3	2	1	2	0.500	5	7	12	1	0	65	81	78	12	54	595	580	598	57	52	20	18	56	5	1	20.00%	9	0	100.00%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
12	Marlies	2	0	2	0	0	0	0	0	6	10	-4	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	6	10	-4	0	0.000	6	10	16	1	0	65	81	78	12	63	595	580	598	57	62	17	12	35	7	1	14.29%	6	2	66.67%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
13	Monsters	2	2	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	4	1	4	1.000	10	18	28	0	0	65	81	78	12	70	595	580	598	57	78	38	12	52	7	1	14.29%	6	1	83.33%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
14	Moose	4	1	2	0	0	0	0	1	14	15	-1	1	0	0	0	0	0	0	1	2	3	-1	3	1	2	0	0	0	0	0	12	12	0	3	0.375	14	20	34	0	0	65	81	78	12	130	595	580	598	57	124	30	50	86	17	6	35.29%	25	4	84.00%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
15	Penguins	2	1	0	0	0	0	1	0	10	8	2	1	1	0	0	0	0	0	0	6	5	1	1	0	0	0	0	0	1	0	4	3	1	4	1.000	10	14	24	0	0	65	81	78	12	71	595	580	598	57	68	24	14	40	5	1	20.00%	7	3	57.14%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
16	Phantoms	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	9	15	0	0	65	81	78	12	74	595	580	598	57	71	25	16	38	7	1	14.29%	8	2	75.00%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
17	Punishers	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	65	81	78	12	31	595	580	598	57	29	18	6	22	7	2	28.57%	3	2	33.33%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
18	Rampage	2	0	1	0	0	1	0	0	11	14	-3	1	0	1	0	0	0	0	0	6	8	-2	1	0	0	0	0	1	0	0	5	6	-1	1	0.250	11	20	31	0	0	65	81	78	12	72	595	580	598	57	73	26	22	35	4	1	25.00%	11	3	72.73%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
19	Reign	2	1	1	0	0	0	0	0	8	9	-1	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	6	4	2	2	0.500	8	14	22	0	0	65	81	78	12	69	595	580	598	57	73	24	12	46	9	2	22.22%	6	2	66.67%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
20	Rocket	4	0	3	0	0	1	0	0	16	28	-12	3	0	2	0	0	1	0	0	13	21	-8	1	0	1	0	0	0	0	0	3	7	-4	1	0.125	16	28	44	1	0	65	81	78	12	128	595	580	598	57	136	49	32	87	19	4	21.05%	16	6	62.50%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
21	Senators	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	65	81	78	12	29	595	580	598	57	33	9	4	16	3	0	0.00%	2	0	100.00%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
22	Sound Tigers	1	0	1	0	0	0	0	0	1	7	-6	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	1	2	3	0	0	65	81	78	12	26	595	580	598	57	30	6	14	18	5	1	20.00%	7	2	71.43%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
23	Thunderbirds	3	1	2	0	0	0	0	0	8	7	1	1	0	1	0	0	0	0	0	1	2	-1	2	1	1	0	0	0	0	0	7	5	2	2	0.333	8	14	22	0	0	65	81	78	12	84	595	580	598	57	76	45	30	58	13	1	7.69%	15	3	80.00%	1	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
24	Wolfpack	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	65	81	78	12	41	595	580	598	57	35	7	4	17	3	0	0.00%	2	0	100.00%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
25	Wolves	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	65	81	78	12	28	595	580	598	57	25	9	8	22	1	0	0.00%	4	0	100.00%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
	Total	56	21	21	0	2	3	3	6	229	232	-3	28	11	10	0	2	1	1	3	117	112	5	28	10	11	0	0	2	2	3	112	120	-8	61	0.545	229	379	608	3	0	65	81	78	12	1795	595	580	598	57	1837	648	509	1200	204	36	17.65%	248	59	76.21%	3	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
	_Since Last GM Reset	56	21	21	0	2	3	3	6	229	232	-3	28	11	10	0	2	1	1	3	117	112	5	28	10	11	0	0	2	2	3	112	120	-8	61	0.545	229	379	608	3	0	65	81	78	12	1795	595	580	598	57	1837	648	509	1200	204	36	17.65%	248	59	76.21%	3	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
	_Vs Conference	32	12	13	0	1	2	1	3	126	136	-10	16	6	6	0	1	1	1	1	60	64	-4	16	6	7	0	0	1	0	2	66	72	-6	33	0.516	126	204	330	2	0	65	81	78	12	1012	595	580	598	57	1093	360	301	680	133	25	18.80%	144	34	76.39%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513
	_Vs Division	16	5	6	0	1	1	1	2	69	70	-1	9	2	3	0	1	1	1	1	37	40	-3	7	3	3	0	0	0	0	1	32	30	2	17	0.531	69	109	178	1	0	65	81	78	12	499	595	580	598	57	538	176	177	356	80	17	21.25%	82	19	76.83%	0	644	1230	52.36%	661	1262	52.38%	477	904	52.77%	1201	661	1197	530	1021	513

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
56	61	W3	229	379	608	1795	1837	648	509	1200	3	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
56	21	21	2	3	3	6	229	232

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	11	10	2	1	1	3	117	112

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	10	11	0	2	2	3	112	120

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
204	36	17.65%	248	59	76.21%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
595	580	598	57	65	81	78	12

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
644	1230	52.36%	661	1262	52.38%	477	904	52.77%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1201	661	1197	530	1021	513

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	Link
1 - 2022-10-27	5	Barracuda	4	Griffins	5	BW	X	X	BoxScore
4 - 2022-10-30	18	Griffins	6	Barracuda	4	AW			BoxScore
5 - 2022-10-31	27	Griffins	4	Condors	5	AL	X	X	BoxScore
9 - 2022-11-04	47	Condors	4	Griffins	2	BL			BoxScore
12 - 2022-11-07	63	Griffins	3	Moose	4	AL			BoxScore
14 - 2022-11-09	73	Moose	3	Griffins	2	BL	X	X	BoxScore
16 - 2022-11-11	86	Griffins	7	Admirals	5	AW			BoxScore
18 - 2022-11-13	95	Rocket	6	Griffins	4	BL			BoxScore
20 - 2022-11-15	105	Griffins	3	Rocket	7	AL			BoxScore
22 - 2022-11-17	121	Devils	3	Griffins	7	BW			BoxScore
24 - 2022-11-19	133	Griffins	5	Thunderbirds	2	AW			BoxScore
25 - 2022-11-20	134	Griffins	7	Barracuda	2	AW			BoxScore
29 - 2022-11-24	153	Griffins	2	Phantoms	4	AL			BoxScore
30 - 2022-11-25	156	Reign	5	Griffins	2	BL			BoxScore
33 - 2022-11-28	175	Griffins	6	Heat	7	AL	X		BoxScore
35 - 2022-11-30	182	Rocket	6	Griffins	5	BL	X		BoxScore
37 - 2022-12-02	193	Griffins	5	Moose	7	AL			BoxScore
39 - 2022-12-04	206	Bears	5	Griffins	6	BW	X		BoxScore
44 - 2022-12-09	229	Barracuda	1	Griffins	5	BW			BoxScore
46 - 2022-12-11	238	Griffins	2	Thunderbirds	3	AL			BoxScore
49 - 2022-12-14	257	Little Stars	4	Griffins	2	BL			BoxScore
52 - 2022-12-17	269	Griffins	1	Sound Tigers	7	AL			BoxScore
54 - 2022-12-19	281	Penguins	5	Griffins	6	BW			BoxScore
56 - 2022-12-21	291	Griffins	5	Marlies	7	AL			BoxScore
60 - 2022-12-25	306	Wolfpack	3	Griffins	2	BL			BoxScore
62 - 2022-12-27	316	Griffins	6	Reign	4	AW			BoxScore
65 - 2022-12-30	331	Rocket	9	Griffins	4	BL			BoxScore
67 - 2023-01-01	345	Griffins	4	Moose	1	AW			BoxScore
69 - 2023-01-03	356	Thunderbirds	2	Griffins	1	BL			BoxScore
73 - 2023-01-07	377	Crunch	2	Griffins	5	BW			BoxScore
76 - 2023-01-10	389	Griffins	3	Little Stars	2	AW	X	X	BoxScore
78 - 2023-01-12	404	Rampage	8	Griffins	6	BL			BoxScore
83 - 2023-01-17	426	Griffins	3	Wolves	4	AL			BoxScore
85 - 2023-01-19	433	Griffins	5	Punishers	3	AW			BoxScore
86 - 2023-01-20	440	Phantoms	2	Griffins	4	BW			BoxScore
89 - 2023-01-23	458	Griffins	3	Devils	5	AL			BoxScore
90 - 2023-01-24	463	Comets	1	Griffins	5	BW			BoxScore
93 - 2023-01-27	482	Monsters	3	Griffins	5	BW			BoxScore
95 - 2023-01-29	494	Griffins	4	Bears	3	AW			BoxScore
96 - 2023-01-30	504	Griffins	4	Penguins	3	AW	X	X	BoxScore
99 - 2023-02-02	514	Admirals	5	Griffins	1	BL			BoxScore
102 - 2023-02-05	530	Griffins	1	Admirals	2	AL	X	X	BoxScore
104 - 2023-02-07	539	Bears	5	Griffins	4	BL	X	X	BoxScore
107 - 2023-02-10	559	Condors	5	Griffins	6	BW	X		BoxScore
110 - 2023-02-13	575	Griffins	5	Rampage	6	AL	X		BoxScore
112 - 2023-02-15	586	Heat	3	Griffins	1	BL			BoxScore
115 - 2023-02-18	600	Griffins	1	Icehogs	6	AL			BoxScore
117 - 2023-02-20	612	Barracuda	2	Griffins	4	BW			BoxScore
121 - 2023-02-24	624	Griffins	5	Crunch	6	AL	X	X	BoxScore
123 - 2023-02-26	639	Devils	5	Griffins	4	BL	X	X	BoxScore
127 - 2023-03-02	658	Griffins	5	Monsters	4	AW			BoxScore
128 - 2023-03-03	665	Icehogs	4	Griffins	6	BW			BoxScore
131 - 2023-03-06	685	Griffins	1	Marlies	3	AL			BoxScore
133 - 2023-03-08	692	Eagles	5	Griffins	9	BW			BoxScore
135 - 2023-03-10	706	Griffins	6	Eagles	4	AW			BoxScore
137 - 2023-03-12	716	Senators	2	Griffins	4	BW			BoxScore
141 - 2023-03-16	739	Condors	-	Griffins	-
144 - 2023-03-19	753	Griffins	-	Heat	-
146 - 2023-03-21	763	Griffins	-	Phantoms	-
148 - 2023-03-23	770	Punishers	-	Griffins	-
152 - 2023-03-27	792	Senators	-	Griffins	-
154 - 2023-03-29	804	Griffins	-	Wolfpack	-
157 - 2023-04-01	817	Wolves	-	Griffins	-
159 - 2023-04-03	828	Griffins	-	Senators	-
Trade Deadline --- Trades can’t be done after this day is simulated!
162 - 2023-04-06	841	Icehogs	-	Griffins	-
165 - 2023-04-09	854	Griffins	-	Barracuda	-
167 - 2023-04-11	865	Griffins	-	Comets	-
169 - 2023-04-13	874	Sound Tigers	-	Griffins	-
172 - 2023-04-16	894	Moose	-	Griffins	-
178 - 2023-04-22	921	Moose	-	Griffins	-
182 - 2023-04-26	940	Marlies	-	Griffins	-
185 - 2023-04-29	957	Griffins	-	Barracuda	-
188 - 2023-05-02	968	Marlies	-	Griffins	-
190 - 2023-05-04	977	Griffins	-	Rocket	-
191 - 2023-05-05	982	Griffins	-	Condors	-
195 - 2023-05-09	996	Reign	-	Griffins	-
196 - 2023-05-10	1003	Griffins	-	Monsters	-
202 - 2023-05-16	1019	Reign	-	Griffins	-
203 - 2023-05-17	1025	Griffins	-	Rocket	-
204 - 2023-05-18	1035	Griffins	-	Condors	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	51,559	25,968
Attendance PCT	92.07%	92.74%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
12	2769 - 92.29%	82,278$	2,303,789$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,405,474$	2,432,500$	2,200,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
11,808$	1,828,264$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
987,338$	67	15,934$	1,067,578$

Griffins 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

Griffins 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

Griffins 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

Griffins 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

Griffins 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

	Griffins
	GP: 56 \| W: 26 \| L: 21 \| OTL: 9 \| P: 61 GF: 229 \| GA: 232 \| PP%: 17.65% \| PK%: 76.21% GM : Eric Poulin \| Morale : 33 \| Team Overall : 65 Next Games #739 vs Condors