Day : 95

WPG - 2
UTA - 4

DAL - 3
OTT - 7

LOS - 4
BUF - 3

SJS - 3
CAR - 2

TOR - 3
TBL - 0

CLB - 4
WSH - 8

VAN - 4
PHI - 2

ANH - 3
NJD - 4

MIN - 2
NYR - 3

FLA - 3
PIT - 2

GRG - 2
SAR - 5

PRO - 6
NOR - 1

HAM - 3
GAT - 2

CTW - 6
SJS - 5

Day : 96

(20-23-1) - L2
(9-33-5) - L2

(34-10-2) - W2
(22-21-4) - L2

(27-16-3) - L2
(10-34-4) - L2

(23-20-4) - W4
(33-6-3) - W2

(19-23-3) - L2
(14-27-1) - L3

(15-23-7) - W3
(24-17-2) - W2

(25-15-7) - OTL1
(25-14-5) - W1

(24-19-3) - L1
(14-26-4) - L1

(25-17-3) - OTL1
(31-8-5) - W5

(24-18-6) - W3
(28-15-2) - W4

(26-12-1) - W1
(26-18-2) - L1

(25-11-5) - W1
(25-19-6) - L2

(26-19-2) - W3
(26-14-3) - W1

(31-6-6) - L1
(31-27-1) - L1

(26-10-6) - W2
(26-19-4) - W2

(31-7-4) - W8
(31-11-4) - L3

(27-12-1) - W2
(27-18-5) - OTL1

(16-26-4) - L1
(16-19-2) - L1

(15-22-4) - W1
(15-23-4) - L1

(16-20-5) - W1
(16-30-0) - W1

(14-26-4) - L1
(14-19-1) - W1

Game Center
	Rochester Americans 25-14-3, 53pts	5	FINAL	4	Grand Rapids Griffins 17-27-1, 35pts

Team Stats
W1	Streak	L3
14-6-1	Home Record	12-8-1
11-8-2	Home Record	5-19-0
7-2-1	Last 10 Games	4-6-0
4.02	Goals Per Game	3.33
3.79	Goals Against Per Game	4.20
32.05%	Power Play Percentage	17.90%
83.21%	Penalty Kill Percentage	78.20%

Grand Rapids Griffins
17-27-1, 35pts

2

FINAL

5

San Antonio Rampage
29-9-4, 62pts

Team Stats
L3	Streak	W4
12-8-1	Home Record	15-5-2
5-19-0	Home Record	14-4-2
4-6-0	Last 10 Games	6-1-3
3.33	Goals Per Game	4.62
4.20	Goals Against Per Game	3.17
17.90%	Power Play Percentage	23.33%
78.20%	Penalty Kill Percentage	81.76%

Grand Rapids Griffins
17-27-1, 35pts

Day 97

Hamilton Bulldogs
34-10-0, 68pts

Team Stats
L3	Streak	W8
12-8-1	Home Record	18-3-0
5-19-0	Away Record	16-7-0
4-6-0	Last 10 Games	9-1-0
3.33	Goals Per Game	4.27
4.20	Goals Against Per Game	4.27
17.90%	Power Play Percentage	25.52%
78.20%	Penalty Kill Percentage	89.50%

Chicoutimi Saguenéens
16-23-4, 36pts

Day 98

Grand Rapids Griffins
17-27-1, 35pts

Team Stats
L1	Streak	L3
7-12-2	Home Record	12-8-1
9-11-2	Away Record	5-19-0
3-6-1	Last 10 Games	4-6-0
3.28	Goals Per Game	3.33
4.49	Goals Against Per Game	3.33
21.13%	Power Play Percentage	17.90%
75.80%	Penalty Kill Percentage	78.20%

Portland Crying Chiwawas
20-18-5, 45pts

Day 100

Grand Rapids Griffins
17-27-1, 35pts

Team Stats
OTL1	Streak	L3
12-8-1	Home Record	12-8-1
8-10-4	Away Record	5-19-0
4-5-1	Last 10 Games	4-6-0
3.70	Goals Per Game	3.33
3.95	Goals Against Per Game	3.33
21.80%	Power Play Percentage	17.90%
79.41%	Penalty Kill Percentage	78.20%

Team Leaders
	Goals Scott Kosmachuk 23	Assists Ivan Barbashev 23

	Points Scott Kosmachuk 41	Plus/Minus Shane Prince 1

	Wins Maxim Dorozhko 11	Save Percentage Aaron Dell 0.878

Team Stats
Goals For 150 3.33 GFG	Shots For 1401 31.13 Avg	Power Play Percentage 17.9% 29 GF	Offensive Zone Start 37.0%
Goals Against 189 4.20 GAA	Shots Against 1421 31.58 Avg	Penalty Kill Percentage 78.2%% 29 GA	Defensive Zone Start 34.9%

Team Info
	General Manager	J-P Vandal
	Coach	Dale Hunter
	Division	Grands Lacs
	Conference	Hamel
	Captain	Yanni Gourde
	Assistant #1	Louis Leblanc
	Assistant #2	Michael Chaput
Arena Info
	Capacity	3,000
	Attendance	2,999
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	18
	Contract Limit	42 / 50
	Prospects	24

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	TA	SP	Age	Contract	Salary Average
1	Louis Leblanc (A)	X		X		100.00	76	35	96	76	74	79	76	76	81	72	71	74	72	99	99	1	50	0		0	33	2	1,200,000$
2	Lars Eller	X	X	X		99.00	87	35	87	77	79	84	83	79	79	73	73	66	80	99	99	1	50	0	N	0	35	1	900,000$
3	Michael Frolik	X	X	X		99.00	65	35	87	78	76	88	88	81	77	74	73	65	80	99	99	1	50	0	N	0	36	1	850,000$
4	Michael Grabner		X	X		99.00	57	25	99	79	69	78	80	81	60	73	74	67	84	99	99	1	50	0		0	37	3	750,000$
5	Vadim Shipachev	X				100.00	56	30	84	70	65	72	70	75	73	72	66	64	78	80	77	1	50	0	N	0	36	1	850,000$
6	Maxim Shalunov			X		100.00	78	35	85	81	80	78	70	80	66	73	74	66	75	91	88	1	50	0		0	31	3	750,000$
7	Michael Chaput (A)	X				99.00	81	45	81	76	80	77	74	77	77	71	70	72	74	92	95	1	50	0		0	32	2	800,000$
8	Scott Kosmachuk			X		99.00	85	40	82	84	81	83	82	80	67	72	73	71	73	88	86	1	50	0	N	0	30	3	1,200,000$
9	Shane Prince	X	X			100.00	63	30	93	83	71	81	78	75	73	71	72	66	77	85	84	1	50	0		0	32	1	1,250,000$
10	Yanni Gourde (C)	X	X	X		99.00	75	40	84	75	74	85	84	78	70	74	74	67	75	91	92	1	50	0	N	0	33	1	900,000$
11	Nikita Soshnikov		X	X		100.00	61	25	94	85	77	82	81	80	69	73	74	69	78	85	81	1	50	0	N	0	31	1	800,000$
12	Barclay Goodrow		X	X		100.00	89	45	79	74	86	80	76	76	67	71	70	72	73	76	76	1	50	0		0	31	2	800,000$
13	Ivan Barbashev	X	X	X		96.50	61	25	95	82	77	79	74	83	73	74	74	67	75	73	71	1	50	0		0	29	2	1,000,000$
14	Mark Katic				X	99.00	70	40	91	79	76	72	72	74	50	71	61	84	61	99	99	1	50	0		0	35	1	1,750,000$
15	Colin Miller				X	100.00	86	43	79	77	77	74	72	78	50	73	64	88	60	84	85	1	50	0	N	0	32	3	1,250,000$
16	Jaycob Megna				X	100.00	79	40	79	75	87	79	76	76	60	72	61	88	65	88	87	1	50	0		0	32	3	750,000$
17	Clay Hanus (R)				X	98.00	75	37	78	76	70	80	78	77	50	73	64	81	62	65	67	6	50	0		0	23	3	950,000$
18	Kevin Lidström				X	100.00	75	35	88	78	78	80	76	75	51	71	66	87	61	77	78	1	50	0		0	30	2	800,000$
19	Gustav Olofsson				X	99.00	75	30	83	78	85	77	69	78	50	72	67	87	62	77	77	1	50	0		0	30	2	800,000$
20	Blake Siebenaler				X	99.29	80	40	86	75	85	77	70	77	50	73	64	90	58	62	62	5	50	0		0	28	3	750,000$
Scratches
1	Chad Ruhwedel		X		X	100.00	63	38	82	74	66	72	69	75	50	70	67	76	67	81	82	1	50	0		0	35	2	800,000$

	TEAM AVERAGE					99.29	73	36	86	78	77	79	76	78	64	72	69	75	71	85	85	1	50	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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Keith Kinkaid	100.00	83	83	82	87	89	87	86	84	84	88	89	78	81	1	50	0	0	35	2	750,000$
2	Maxim Dorozhko (R)	100.00	85	83	86	88	87	86	87	87	86	86	85	71	69	8	50	0	0	26	2	1,000,000$
3	Aaron Dell	99.00	81	81	82	85	87	87	88	85	85	87	89	77	78	1	50	0	0	35	1	900,000$
Scratches

	TEAM AVERAGE	99.67	83	82	83	87	88	87	87	85	85	87	88	75	76	3	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dale Hunter	88	80	78	77	82	82	70	CAN	63	1	900,000$

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	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	S1	S2	S3
1	Scott Kosmachuk	RW	45	23	18	41	0	12	0	88	45	151	41	96	15.23%	18	855	19.02	6	7	13	34	131	1	0	1	5	107	3	0	36.17%	47	70	14	0	1	0.96	0	2	0	4	4	4
2	Nikita Soshnikov	LW/RW	45	17	21	38	-5	4	0	18	18	104	44	92	16.35%	7	670	14.91	0	0	0	0	0	0	0	0	0	0	1	0	48.28%	29	68	18	0	0	1.13	1	2	0	2	3	1
3	Maxim Shalunov	RW	45	18	19	37	-15	18	0	85	36	144	37	92	12.50%	9	751	16.71	4	4	8	17	78	0	0	0	0	0	1	2	38.89%	36	79	13	0	1	0.98	0	0	0	2	2	4
4	Michael Frolik	C/LW/RW	45	16	20	36	-13	6	0	27	27	129	36	89	12.40%	17	766	17.04	8	6	14	27	141	0	0	0	6	49	1	0	57.14%	63	94	5	0	1	0.94	1	2	0	3	0	0
5	Michael Grabner	LW/RW	45	10	20	30	-23	6	0	25	27	114	31	74	8.77%	14	879	19.54	3	3	6	23	127	0	0	0	3	69	1	0	35.14%	37	65	9	0	0	0.68	0	2	0	0	1	1
6	Yanni Gourde	C/LW/RW	45	19	11	30	-13	20	0	84	53	108	24	56	17.59%	18	755	16.78	2	1	3	13	48	0	0	0	4	25	5	0	54.95%	535	32	13	0	0	0.79	0	0	0	3	3	1
7	Ivan Barbashev	C/LW/RW	45	6	23	29	-8	4	0	22	31	69	34	56	8.70%	11	715	15.89	0	0	0	0	0	0	0	0	0	0	1	0	50.00%	78	52	16	0	0	0.81	0	0	0	0	0	1
8	Lars Eller	C/LW/RW	34	9	17	26	-11	14	0	80	37	71	17	55	12.68%	12	762	22.44	2	7	9	17	105	0	1	1	3	99	0	0	54.00%	587	15	7	0	0	0.68	0	1	0	1	1	0
9	Louis Leblanc	C/RW	45	7	14	21	-15	4	0	67	61	66	27	38	10.61%	18	780	17.35	3	4	7	12	78	0	0	0	0	23	1	0	53.55%	549	27	14	0	0	0.54	0	0	0	2	0	1
10	Radim Simek	D	39	0	16	16	-21	36	0	103	83	59	33	27	0.00%	82	955	24.49	0	2	2	17	114	0	0	0	1	96	0	0	0.00%	0	0	52	0	0	0.33	0	0	0	0	1	1
11	Mark Katic	D	45	1	14	15	-10	12	0	34	78	38	21	21	2.63%	55	895	19.89	0	4	4	6	101	0	0	0	1	78	0	0	0.00%	0	1	41	0	0	0.34	0	0	0	0	0	0
12	Michael Chaput	C	45	3	12	15	-9	10	0	38	32	47	16	35	6.38%	9	464	10.32	0	2	2	9	50	0	0	0	1	7	0	0	49.72%	179	17	7	0	0	0.65	0	1	0	0	2	1
13	Greg Chase	C/RW	18	6	7	13	-5	8	0	20	23	36	19	26	16.67%	7	334	18.56	0	2	2	1	38	1	0	1	1	38	1	0	51.74%	230	31	8	0	0	0.78	0	1	0	0	0	0
14	Barclay Goodrow	LW/RW	45	5	6	11	-4	8	0	33	20	43	13	21	11.63%	10	307	6.84	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	15	19	7	0	0	0.71	0	0	0	0	0	0
15	Chad Ruhwedel	LW/D	28	1	8	9	-2	20	0	18	44	30	11	10	3.33%	42	532	19.00	0	2	2	2	21	0	0	0	1	26	0	0	0.00%	0	5	20	0	0	0.34	0	1	0	0	1	0
16	Blake Siebenaler	D	41	1	8	9	-1	16	0	36	72	36	12	25	2.78%	47	557	13.59	0	0	0	0	8	0	0	0	1	40	0	0	0.00%	0	2	43	0	0	0.32	0	0	0	0	0	0
17	Jaycob Megna	D	37	0	8	8	-28	20	0	45	84	40	19	35	0.00%	54	732	19.81	0	1	1	9	87	0	0	0	2	66	0	0	0.00%	0	2	34	0	0	0.22	0	0	0	0	0	0
18	Clay Hanus	D	41	1	7	8	-8	24	0	36	67	48	22	17	2.08%	50	747	18.23	0	2	2	10	95	0	0	0	2	65	1	0	0.00%	0	2	35	0	0	0.21	0	0	0	1	0	1
19	Gustav Olofsson	D	14	2	4	6	-6	2	0	21	24	24	12	6	8.33%	14	323	23.08	0	1	1	5	48	0	1	1	1	28	0	0	0.00%	0	4	16	0	0	0.37	0	0	0	0	0	0
20	Artyom Zub	D	9	2	2	4	-1	8	0	16	21	23	10	8	8.70%	18	222	24.76	1	1	2	4	29	0	0	0	2	25	0	1	0.00%	0	4	15	0	0	0.36	0	0	0	0	1	0
21	Shane Prince	C/LW	45	1	2	3	1	0	0	2	4	9	3	8	11.11%	0	77	1.72	0	0	0	1	6	0	0	0	0	1	0	0	55.56%	27	5	0	0	0	0.77	0	0	0	0	0	0
22	Colin Miller	D	16	1	1	2	-7	10	0	24	23	12	9	4	8.33%	19	216	13.54	0	0	0	6	33	0	0	0	0	17	0	0	0.00%	0	0	11	0	0	0.18	0	0	0	0	0	0
23	Vadim Shipachev	C	39	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0.07	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0
24	Louis Belpedio	D	1	0	0	0	-3	0	0	1	1	0	0	0	0.00%	0	17	17.43	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	1	0	0	0.00	0	0	0	0	0	0
Team Total or Average				857	149	258	407	-207	262	0	923	911	1401	491	891	10.64%	531	13325	15.55	29	49	78	213	1349	2	2	4	34	871	16	3	52.53%	2412	594	399	0	3	0.61	2	12	0	18	19	16

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	Maxim Dorozhko	Grand Rapids Griffins (DET)	31	11	16	0	0.868	4.21	1639	4	115	869	478	2	1	0.000	0	28	17	0	1	1
2	Aaron Dell	Grand Rapids Griffins (DET)	17	6	9	1	0.878	3.82	943	0	60	493	261	0	0	0.750	12	17	0	1	1	0
3	Keith Kinkaid	Grand Rapids Griffins (DET)	5	0	2	0	0.807	5.16	128	0	11	57	24	0	1	0.000	0	0	28	0	0	0
Team Total or Average			53	17	27	1	0.869	4.12	2712	4	186	1419	763	2	2		12	45	45	1	2	1

Player Name	POS	Age	Birthday	Terms	Contract	Cap %	Year 2024	Year 2025	Year 2026	Year 2027	Year 2028	Year 2029	Year 2030
Forward
Barclay Goodrow	LW/RW	31	1993-01-22	TW	2	0.00%	800,000$	800,000$	UFA [Age: 33]
Ivan Barbashev	C/LW/RW	29	1995-01-22	TW	2	0.00%	1,000,000$	1,000,000$	UFA [Age: 31]
Lars Eller	C/LW/RW	35	1989-01-22	NT TW	1	0.00%	900,000$	UFA [Age: 36]
Louis Leblanc	C/RW	33	1991-01-22	TW	2	0.00%	1,200,000$	1,200,000$	UFA [Age: 35]
Maxim Shalunov	RW	31	1993-01-22	TW	3	0.00%	750,000$	750,000$	750,000$	UFA [Age: 34]
Michael Chaput	C	32	1992-01-22	TW	2	0.00%	800,000$	800,000$	UFA [Age: 34]
Michael Frolik	C/LW/RW	36	1988-01-22	NT TW	1	0.00%	850,000$	UFA [Age: 37]
Michael Grabner	LW/RW	37	1987-01-22	TW	3	0.00%	750,000$	750,000$	750,000$	UFA [Age: 40]
Nikita Soshnikov	LW/RW	31	1993-01-22	NT TW	1	0.00%	800,000$	UFA [Age: 32]
Scott Kosmachuk	RW	30	1994-01-22	NT TW	3	0.00%	1,200,000$	1,200,000$	1,200,000$	UFA [Age: 33]
Shane Prince	C/LW	32	1992-01-22	TW	1	0.00%	1,250,000$	UFA [Age: 33]
Vadim Shipachev	C	36	1988-01-22	NT TW	1	0.00%	850,000$	UFA [Age: 37]
Yanni Gourde	C/LW/RW	33	1991-01-22	NT TW	1	0.00%	900,000$	UFA [Age: 34]
AVERAGE (13)		32.77				0.00%	0$	6,500,000$	2,700,000$	0$	0$	0$	0$
Defenseman
Blake Siebenaler	D	28	1996-01-22	TW	3	0.00%	750,000$	750,000$	750,000$	UFA [Age: 31]
Chad Ruhwedel	LW/D	35	1989-01-22	TW	2	0.00%	800,000$	800,000$	UFA [Age: 37]
Clay Hanus	D	23	2001-01-02	TW	3	0.00%	950,000$	950,000$	950,000$	RFA ( Groupe: 2 ) [Age: 26]
Colin Miller	D	32	1992-01-22	NT TW	3	0.00%	1,250,000$	1,250,000$	1,250,000$	UFA [Age: 35]
Gustav Olofsson	D	30	1994-01-22	TW	2	0.00%	800,000$	800,000$	UFA [Age: 32]
Jaycob Megna	D	32	1992-01-02	TW	3	0.00%	750,000$	750,000$	750,000$	UFA [Age: 35]
Kevin Lidström	D	30	1994-01-22	TW	2	0.00%	800,000$	800,000$	UFA [Age: 32]
Mark Katic	D	35	1989-01-22	TW	1	0.00%	1,750,000$	UFA [Age: 36]
AVERAGE (8)		30.63				0.00%	0$	6,100,000$	3,700,000$	0$	0$	0$	0$
Goalies
Aaron Dell	G	35	1989-01-22	TW	1	0.00%	900,000$	UFA [Age: 36]
Keith Kinkaid	G	35	1989-01-22	TW	2	0.00%	750,000$	750,000$	UFA [Age: 37]
Maxim Dorozhko	G	26	1998-01-02	TW	2	0.00%	1,000,000$	1,000,000$	UFA [Age: 28]

Terms Legends : FV = Force Waiver / NT = No Trade / IN = Injured / TW = Two Way Contract (Can Play Pro + Can Play Farm)

Note: The salary cap amounts for the current year and the % of salary cap are based on a calculation of the simple salary cap calculation (Average Salary or Salary for the year depending on your salary options). If your salary cap is based on complex calculation, the results of this analysis could be incorrect by a small margin. The Current Year Pro Salary Cap is : 89,000,050$.

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Michael Chaput	Lars Eller	Michael Frolik	44	1	2	2
2	Michael Grabner	Yanni Gourde	Scott Kosmachuk	38	1	2	2
3	Nikita Soshnikov	Louis Leblanc	Maxim Shalunov	10	1	2	2
4	Barclay Goodrow	Ivan Barbashev	Michael Frolik	8	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Clay Hanus	Mark Katic	41	1	2	2
2	Gustav Olofsson	Colin Miller	31	1	2	2
3	Blake Siebenaler	Ivan Barbashev	25	1	2	2
4	Jaycob Megna	Gustav Olofsson	3	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Michael Chaput	Lars Eller	Michael Frolik	74	1	2	2
2	Michael Grabner	Yanni Gourde	Scott Kosmachuk	26	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Olofsson	Clay Hanus	70	1	2	2
2	Colin Miller	Mark Katic	30	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Chaput	Michael Grabner	60	1	2	2
2	Michael Frolik	Scott Kosmachuk	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Olofsson	Mark Katic	60	1	2	2
2	Colin Miller	Clay Hanus	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Scott Kosmachuk	60	1	2	2	Gustav Olofsson	Clay Hanus	60	1	2	2
2	Michael Frolik	40	1	2	2	Colin Miller	Mark Katic	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Michael Chaput	Michael Grabner	60	1	2	2
2	Michael Frolik	Scott Kosmachuk	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Clay Hanus	Mark Katic	60	1	2	2
2	Gustav Olofsson	Jaycob Megna	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Scott Kosmachuk	Lars Eller	Michael Frolik	Colin Miller	Gustav Olofsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Scott Kosmachuk	Lars Eller	Michael Frolik	Colin Miller	Gustav Olofsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Michael Chaput, Shane Prince, Michael Frolik	Michael Chaput, Shane Prince	Michael Frolik

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Clay Hanus, Mark Katic, Gustav Olofsson	Gustav Olofsson	Gustav Olofsson, Clay Hanus

Penalty Shots
Lars Eller, Michael Chaput, Michael Frolik, Scott Kosmachuk, Michael Grabner

Goalie
#1 : Aaron Dell, #2 : Maxim Dorozhko, #3 : Keith Kinkaid

Custom OT Lines Forwards
Lars Eller, Michael Chaput, Michael Frolik, Scott Kosmachuk, Michael Grabner, Maxim Shalunov, Maxim Shalunov, Yanni Gourde, Nikita Soshnikov, Louis Leblanc, Ivan Barbashev

Custom OT Lines Defensemen
Clay Hanus, Blake Siebenaler, Gustav Olofsson, Jaycob Megna, Mark Katic

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	Albany Devils	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	46	47	51	7	25	422	440	523	28	32	19	2	18	5	1	20.00%	1	0	100.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
2	Binghamton Senators	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	5	1	2	1.000	6	9	15	0	0	46	47	51	7	34	422	440	523	28	42	14	2	16	1	0	0.00%	1	0	100.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
3	Bridgeport Sound Tigers	2	2	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	5	1	4	4	1.000	12	22	34	0	0	46	47	51	7	67	422	440	523	28	58	20	6	42	8	3	37.50%	3	1	66.67%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
4	Charlotte Checkers	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	46	47	51	7	21	422	440	523	28	27	8	4	30	2	0	0.00%	2	0	100.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
5	Chicago Wolves	2	1	1	0	0	0	0	0	12	8	4	1	1	0	0	0	0	0	0	8	3	5	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	12	24	36	0	0	46	47	51	7	68	422	440	523	28	49	21	14	36	11	4	36.36%	7	0	100.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
6	Chicoutimi Saguenéens	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	6	10	0	0	46	47	51	7	37	422	440	523	28	27	10	4	23	1	0	0.00%	2	1	50.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
7	Connecticut Whale	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	5	8	0	0	46	47	51	7	30	422	440	523	28	35	19	12	21	1	0	0.00%	6	2	66.67%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
8	Danbury Trashers	3	2	1	0	0	0	0	0	11	14	-3	3	2	1	0	0	0	0	0	11	14	-3	0	0	0	0	0	0	0	0	0	0	0	4	0.667	11	19	30	0	0	46	47	51	7	97	422	440	523	28	94	40	12	57	8	2	25.00%	6	2	66.67%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
9	Gatineau Olympiques	3	0	3	0	0	0	0	0	9	15	-6	1	0	1	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	6	9	-3	0	0.000	9	13	22	1	0	46	47	51	7	90	422	440	523	28	111	33	18	60	8	2	25.00%	9	2	77.78%	1	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
10	Lake Erie Monsters	4	2	1	0	1	0	0	0	16	15	1	3	2	0	0	1	0	0	0	11	7	4	1	0	1	0	0	0	0	0	5	8	-3	6	0.750	16	28	44	0	0	46	47	51	7	117	422	440	523	28	142	57	20	80	17	5	29.41%	10	4	60.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
11	Laval Chiefs	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	46	47	51	7	32	422	440	523	28	35	16	10	16	4	0	0.00%	5	1	80.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
12	Manitoba Moose	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	5	9	0	0	46	47	51	7	33	422	440	523	28	25	4	2	27	6	0	0.00%	1	0	100.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
13	Milwaukee Admirals	2	0	1	0	1	0	0	0	5	10	-5	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	7	-6	2	0.500	5	9	14	0	0	46	47	51	7	67	422	440	523	28	56	16	10	56	9	0	0.00%	5	1	80.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
14	Norfolk Admirals	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	6	5	1	2	1.000	6	9	15	0	0	46	47	51	7	35	422	440	523	28	28	11	4	29	5	1	20.00%	2	1	50.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
15	Quebec Stars	6	0	4	0	1	0	0	1	16	27	-11	2	0	0	0	1	0	0	1	6	6	0	4	0	4	0	0	0	0	0	10	21	-11	3	0.250	16	25	41	0	0	46	47	51	7	183	422	440	523	28	173	63	48	107	24	1	4.17%	24	5	79.17%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
16	Roberval Dwarfs	2	0	2	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	9	14	0	0	46	47	51	7	62	422	440	523	28	71	19	12	44	6	2	33.33%	6	1	83.33%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
17	Rochester Americans	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	46	47	51	7	35	422	440	523	28	25	13	6	18	4	1	25.00%	3	2	33.33%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
18	San Antonio Rampage	2	0	2	0	0	0	0	0	3	11	-8	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	3	11	-8	0	0.000	3	4	7	0	0	46	47	51	7	54	422	440	523	28	68	27	12	38	6	1	16.67%	6	1	83.33%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
19	San Jose Barracuda	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	46	47	51	7	38	422	440	523	28	31	7	4	20	3	0	0.00%	2	0	100.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
20	The Nuuk Vikings	3	0	2	0	1	0	0	0	11	14	-3	1	0	1	0	0	0	0	0	5	8	-3	2	0	1	0	1	0	0	0	6	6	0	2	0.333	11	20	31	0	0	46	47	51	7	91	422	440	523	28	90	41	32	62	8	1	12.50%	16	3	81.25%	1	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
21	Trois-Rivières Lions	4	1	3	0	0	0	0	0	11	13	-2	2	1	1	0	0	0	0	0	5	4	1	2	0	2	0	0	0	0	0	6	9	-3	2	0.250	11	20	31	1	0	46	47	51	7	136	422	440	523	28	122	47	18	87	22	4	18.18%	9	0	100.00%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
22	Wilkes-Barre/Scranton Penguins	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	3	6	9	0	0	46	47	51	7	49	422	440	523	28	80	26	14	36	3	1	33.33%	7	2	71.43%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
	Total	45	11	27	0	5	0	1	1	150	189	-39	21	8	8	0	3	0	1	1	79	80	-1	24	3	19	0	2	0	0	0	71	109	-38	35	0.389	150	258	408	2	0	46	47	51	7	1401	422	440	523	28	1421	531	266	923	162	29	17.90%	133	29	78.20%	2	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
	_Since Last GM Reset	45	11	27	0	5	0	1	1	150	189	-39	21	8	8	0	3	0	1	1	79	80	-1	24	3	19	0	2	0	0	0	71	109	-38	35	0.389	150	258	408	2	0	46	47	51	7	1401	422	440	523	28	1421	531	266	923	162	29	17.90%	133	29	78.20%	2	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
	_Vs Conference	29	6	18	0	4	0	0	1	96	123	-27	12	4	4	0	3	0	0	1	45	45	0	17	2	14	0	1	0	0	0	51	78	-27	21	0.362	96	164	260	2	0	46	47	51	7	917	422	440	523	28	918	337	188	587	111	19	17.12%	94	18	80.85%	2	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352
	_Vs Division	12	4	3	0	2	0	0	0	39	52	-13	4	3	0	0	2	0	0	0	12	17	-5	8	1	3	0	0	0	0	0	27	35	-8	12	0.500	39	65	104	1	0	46	47	51	7	393	422	440	523	28	383	141	58	255	45	9	20.00%	29	6	79.31%	0	478	889	53.77%	442	839	52.68%	347	673	51.56%	1004	633	1012	362	701	352

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
45	35	L3	150	258	408	1401	1421	531	266	923	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
45	11	27	5	0	1	1	150	189

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	8	8	3	0	1	1	79	80

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	3	19	2	0	0	0	71	109

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
162	29	17.90%	133	29	78.20%	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
422	440	523	28	46	47	51	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
478	889	53.77%	442	839	52.68%	347	673	51.56%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1004	633	1012	362	701	352

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
Day:1
1	10	Danbury Trashers	7	Grand Rapids Griffins	1	L			BoxScore
Day:2
2	15	Grand Rapids Griffins	1	Quebec Stars	6	L			BoxScore
Day:5
5	38	Grand Rapids Griffins	4	The Nuuk Vikings	3	W	X		BoxScore
Day:8
8	58	Milwaukee Admirals	3	Grand Rapids Griffins	4	W	X		BoxScore
Day:12
12	77	Lake Erie Monsters	3	Grand Rapids Griffins	4	W			BoxScore
Day:15
15	101	Grand Rapids Griffins	4	Chicago Wolves	5	L			BoxScore
Day:17
17	113	Lake Erie Monsters	1	Grand Rapids Griffins	3	W			BoxScore
Day:18
18	122	Grand Rapids Griffins	3	Connecticut Whale	4	L			BoxScore
Day:20
20	143	Grand Rapids Griffins	2	Trois-Rivières Lions	3	L			BoxScore
Day:22
22	152	Grand Rapids Griffins	1	Charlotte Checkers	4	L			BoxScore
Day:24
24	172	Danbury Trashers	2	Grand Rapids Griffins	4	W			BoxScore
Day:26
26	188	Wilkes-Barre/Scranton Penguins	7	Grand Rapids Griffins	1	L			BoxScore
Day:27
27	205	Grand Rapids Griffins	1	San Antonio Rampage	6	L			BoxScore
Day:29
29	220	The Nuuk Vikings	8	Grand Rapids Griffins	5	L			BoxScore
Day:31
31	242	Danbury Trashers	5	Grand Rapids Griffins	6	W			BoxScore
Day:32
32	244	Grand Rapids Griffins	3	Quebec Stars	5	L			BoxScore
Day:38
38	275	Grand Rapids Griffins	4	Chicoutimi Saguenéens	1	W			BoxScore
Day:39
39	287	San Jose Barracuda	4	Grand Rapids Griffins	3	L			BoxScore
Day:42
42	310	Grand Rapids Griffins	1	Laval Chiefs	3	L			BoxScore
Day:43
43	319	Gatineau Olympiques	6	Grand Rapids Griffins	3	L			BoxScore
Day:45
45	337	Grand Rapids Griffins	6	Norfolk Admirals	5	W	X		BoxScore
Day:47
47	352	Roberval Dwarfs	8	Grand Rapids Griffins	3	L			BoxScore
Day:50
50	374	Bridgeport Sound Tigers	1	Grand Rapids Griffins	7	W			BoxScore
Day:52
52	389	Grand Rapids Griffins	1	Milwaukee Admirals	7	L			BoxScore
Day:54
54	406	Grand Rapids Griffins	2	Wilkes-Barre/Scranton Penguins	6	L			BoxScore
Day:55
55	419	Chicago Wolves	3	Grand Rapids Griffins	8	W			BoxScore
Day:57
57	443	Albany Devils	1	Grand Rapids Griffins	4	W			BoxScore
Day:60
60	468	Trois-Rivières Lions	1	Grand Rapids Griffins	0	L			BoxScore
Day:62
62	481	Grand Rapids Griffins	6	Binghamton Senators	5	W			BoxScore
Day:64
64	497	Grand Rapids Griffins	2	Roberval Dwarfs	4	L			BoxScore
Day:66
66	505	Grand Rapids Griffins	3	Quebec Stars	6	L			BoxScore
Day:68
68	513	Trois-Rivières Lions	3	Grand Rapids Griffins	5	W			BoxScore
Day:69
69	534	Grand Rapids Griffins	2	The Nuuk Vikings	3	L			BoxScore
Day:71
71	546	Grand Rapids Griffins	5	Lake Erie Monsters	8	L			BoxScore
Day:73
73	560	Quebec Stars	3	Grand Rapids Griffins	2	L	X	X	BoxScore
Day:75
75	579	Lake Erie Monsters	3	Grand Rapids Griffins	4	W	X		BoxScore
Day:77
77	593	Grand Rapids Griffins	5	Bridgeport Sound Tigers	1	W			BoxScore
Day:79
79	607	Grand Rapids Griffins	3	Gatineau Olympiques	5	L			BoxScore
Day:81
81	619	Quebec Stars	3	Grand Rapids Griffins	4	W	X		BoxScore
Day:83
83	634	Grand Rapids Griffins	3	Gatineau Olympiques	4	L			BoxScore
Day:84
84	645	Grand Rapids Griffins	4	Trois-Rivières Lions	6	L			BoxScore
Day:86
86	658	Manitoba Moose	3	Grand Rapids Griffins	4	W	X	X	BoxScore
Day:89
89	667	Grand Rapids Griffins	3	Quebec Stars	4	L			BoxScore
Day:93
93	688	Rochester Americans	5	Grand Rapids Griffins	4	L			BoxScore
Day:95
95	702	Grand Rapids Griffins	2	San Antonio Rampage	5	L			BoxScore
Day:97
97	719	Grand Rapids Griffins	-	Hamilton Bulldogs	-
Day:98
98	727	Chicoutimi Saguenéens	-	Grand Rapids Griffins	-
Day:100
100	753	Portland Crying Chiwawas	-	Grand Rapids Griffins	-
Day:102
102	768	Grand Rapids Griffins	-	Joliette Sportif	-
Day:104
104	776	Grand Rapids Griffins	-	Chisinau Pelicans	-
Day:106
106	790	Rochester Americans	-	Grand Rapids Griffins	-
Day:108
108	809	Grand Rapids Griffins	-	Chicago Wolves	-
Day:109
109	821	Houston Aeros	-	Grand Rapids Griffins	-
Day:111
111	838	Grand Rapids Griffins	-	Verdun Junior	-
Day:114
114	855	Wilkes-Barre/Scranton Penguins	-	Grand Rapids Griffins	-
Day:117
117	879	Grand Rapids Griffins	-	Springfield Falcons	-
Day:118
118	889	Binghamton Senators	-	Grand Rapids Griffins	-
Day:124
124	916	Grand Rapids Griffins	-	Milwaukee Admirals	-
Day:125
125	927	Danbury Trashers	-	Grand Rapids Griffins	-
Day:127
127	952	Chisinau Pelicans	-	Grand Rapids Griffins	-
Day:130
130	980	Verdun Junior	-	Grand Rapids Griffins	-
Day:132
132	996	Grand Rapids Griffins	-	San Jose Barracuda	-
Day:135
135	1011	Grand Rapids Griffins	-	Connecticut Whale	-
Day:136
136	1021	Chicago Wolves	-	Grand Rapids Griffins	-
Day:138
138	1036	Grand Rapids Griffins	-	Charlotte Checkers	-
Day:141
Trade Deadline --- Trades can’t be done after this day is simulated!
141	1051	Milwaukee Admirals	-	Grand Rapids Griffins	-
Day:143
143	1070	Grand Rapids Griffins	-	Charlotte Checkers	-
Day:145
145	1079	Grand Rapids Griffins	-	Binghamton Senators	-
Day:147
147	1087	Milwaukee Admirals	-	Grand Rapids Griffins	-
Day:150
150	1106	Grand Rapids Griffins	-	Henderson Silver Knights	-
Day:151
151	1122	Hamilton Bulldogs	-	Grand Rapids Griffins	-
Day:154
154	1150	Springfield Falcons	-	Grand Rapids Griffins	-
Day:156
156	1162	Grand Rapids Griffins	-	Connecticut Whale	-
Day:159
159	1183	The Nuuk Vikings	-	Grand Rapids Griffins	-
Day:162
162	1204	Grand Rapids Griffins	-	San Jose Barracuda	-
Day:163
163	1217	Laval Chiefs	-	Grand Rapids Griffins	-
Day:165
165	1223	Grand Rapids Griffins	-	The Nuuk Vikings	-
Day:166
166	1234	Grand Rapids Griffins	-	Blainville-Boisbriand Armada	-
Day:170
170	1254	Blainville-Boisbriand Armada	-	Grand Rapids Griffins	-
Day:174
174	1284	Henderson Silver Knights	-	Grand Rapids Griffins	-
Day:179
179	1315	Joliette Sportif	-	Grand Rapids Griffins	-
Day:183
183	1343	Providence Bruins	-	Grand Rapids Griffins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses

Grand Rapids Griffins Players 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

Grand Rapids 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

Grand Rapids 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

Grand Rapids Griffins Players 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

Grand Rapids 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



	WC Home Main STHS Client League File ProToday's Games FarmToday's Games Today's Transactions Search League News Management Upload Lines Web Client Email General Manager Today's Information Teams Pro Team Eastern Conference Boston Bruins Buffalo Sabres Carolina Hurricanes Columbus Blue Jackets Florida Panthers Montreal Canadiens New Jersey Devils New York Islanders New York Rangers Ottawa Senators Philadelphia Flyers Pittsburgh Penguins Quebec Nordiques Tampa Bay Lightning Toronto Maple Leafs Washington Capitals Western Conference Anaheim Ducks Calgary Flames Chicago Blackhawks Colorado Avalanche Dallas Stars Detroit Red Wings Edmonton Oilers Los Angeles Kings Minnesota Wild Nashville Predators San Jose Sharks Seattle Kraken St. Louis Blues Utah Hockey Club Vancouver Canucks Vegas Golden Knights Winnipeg Jets Farm Team Hamel Binghamton Senators Blainville-Boisbriand Armada Chicago Wolves Chicoutimi Saguenéens Chisinau Pelicans Gatineau Olympiques Grand Rapids Griffins Hamilton Bulldogs Joliette Sportif Lake Erie Monsters Laval Chiefs Milwaukee Admirals Quebec Stars Roberval Dwarfs The Nuuk Vikings Trois-Rivières Lions Verdun Junior Fortunus Albany Devils Bridgeport Sound Tigers Charlotte Checkers Connecticut Whale Danbury Trashers Henderson Silver Knights Houston Aeros Manitoba Moose Norfolk Admirals Portland Crying Chiwawas Providence Bruins Rochester Americans San Antonio Rampage San Jose Barracuda Springfield Falcons Wilkes-Barre/Scranton Penguins Pro League Standing Schedule Players Leader Goalies Leader Individual Leaders All Players Stats All Goalies Stats Teams Stats Finance Power Ranking Farm League Standing Schedule Players Leader Goalies Leader Individual Leaders All Players Stats All Goalies Stats Teams Stats Finance Power Ranking League Entry Draft Projection Coaches Transactions Waivers Team/GM Trade History Prospects RSS Feed Unassigned Players Goalies Available For Trade Players Goalies Compares Players Players Goalies Free Agents Players Goalies Retire Players Players Goalies Records League Records Team Records Search Legacy Pages Coaches Free Agents Pro All Players Stats Pro Individual Leaders Pro Leaders Pro Power Ranking Pro Standing Pro Team Lines Pro Team PlayersInfo Pro Team Roster Pro Team Schedule Pro Team Scoring Pro Team Stats Pro Team Stats VS Rerate Difference Schedule Team Finance Team History Team Injury Suspension Team Prospects Teams And GM Info Today Games Today Transactions Trade History Transactions Unassigned Waivers Help Latest STHS Client STHS Client Manual Log in

	Grand Rapids Griffins
	GP: 45 \| W: 17 \| L: 27 \| OTL: 1 \| P: 35 GF: 150 \| GA: 189 \| PP%: 17.90% \| PK%: 78.20% GM : J-P Vandal \| Morale : 50 \| Team Overall : N/A Next Games #719 vs Hamilton Bulldogs