Chicago Blackhawks
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Sags 32-36-6, 70pts	0	Box score	4	Bayou 36-32-5, 77pts

Team Stats
W1	Streak	L1
20-15-1	Home Record	24-10-2
12-21-5	Home Record	12-22-3
3-6-1	Last 10 Games	5-5-0
2.54	Goals Per Game	3.52
2.97	Goals Against Per Game	3.48
17.34%	Power Play Percentage	16.03%
83.33%	Penalty Kill Percentage	81.65%

Outlaws
42-25-6, 90pts

Box score

Sags
32-36-6, 70pts

Team Stats
L3	Streak	W1
24-8-4	Home Record	20-15-1
18-17-2	Home Record	12-21-5
4-4-2	Last 10 Games	3-6-1
3.23	Goals Per Game	2.54
2.99	Goals Against Per Game	2.97
12.24%	Power Play Percentage	17.34%
85.82%	Penalty Kill Percentage	83.33%

Sags
32-36-6, 70pts

Day 92

Goons
21-37-11, 53pts

Team Stats
W1	Streak	L3
20-15-1	Home Record	14-15-7
12-21-5	Away Record	7-22-4
3-6-1	Last 10 Games	4-4-2
2.54	Goals Per Game	2.13
2.97	Goals Against Per Game	2.13
17.34%	Power Play Percentage	14.33%
83.33%	Penalty Kill Percentage	86.01%

Farmers
35-34-4, 74pts

Day 93

Sags
32-36-6, 70pts

Team Stats
L1	Streak	W1
17-17-2	Home Record	20-15-1
18-17-2	Away Record	12-21-5
5-3-2	Last 10 Games	3-6-1
3.27	Goals Per Game	2.54
3.48	Goals Against Per Game	2.54
18.87%	Power Play Percentage	17.34%
84.57%	Penalty Kill Percentage	83.33%

Sags
32-36-6, 70pts

Day 95

Xpress
44-22-7, 95pts

Team Stats
W1	Streak	L1
20-15-1	Home Record	24-8-4
12-21-5	Away Record	20-14-3
3-6-1	Last 10 Games	6-3-1
2.54	Goals Per Game	3.86
2.97	Goals Against Per Game	3.86
17.34%	Power Play Percentage	15.88%
83.33%	Penalty Kill Percentage	84.56%

Team Leaders
	Goals Brett Leason 16	Assists Parker Wotherspoon 21

	Points Brett Leason 32	Plus/Minus Aku Raty -1

	Wins Clay Stevenson 11	Save Percentage Kevin Mandolese 0.918

Team Stats
Goals For 188 2.54 GFG	Shots For 1858 25.11 Avg	Power Play Percentage 17.3% 60 GF	Offensive Zone Start 37.4%
Goals Against 220 2.97 GAA	Shots Against 2487 33.61 Avg	Penalty Kill Percentage 83.3%% 46 GA	Defensive Zone Start 44.0%

Team Info
	General Manager	Nicolas Gagnon
	Coach	Lane Lambert
	Division	Division Est
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	3,000
Roster Info
	Pro Team	25
	Farm Team	18
	Contract Limit	43 / 50
	Prospects	97

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	Brett Leason		X			100.00	69	45	85	77	85	65	75	56	30	56	57	77	67	85	75	0	90	64	0	26	3	1,250,000$
2	Luke Evangelista			X		96.00	55	45	86	86	56	69	82	64	30	67	62	65	69	83	74	0	90	64	0	23	3	3,000,000$
3	Philip Tomasino		X			96.00	69	45	91	84	59	65	74	61	30	57	65	61	68	83	73	0	90	63	0	24	1	1,200,000$
4	Craig Smith			X		96.00	67	45	79	80	68	57	71	58	30	53	63	61	68	95	83	0	90	61	0	36	2	950,000$
5	Tanner Jeannot			X		99.00	99	69	59	75	78	55	81	53	30	47	59	55	66	87	75	0	90	60	0	28	4	2,000,000$
6	Landon Slaggert		X			100.00	63	48	76	80	54	62	40	52	30	50	55	77	66	82	71	0	90	59	0	23	2	925,000$
7	Juha Jaaska (R)		X			100.00	68	48	83	77	69	50	40	53	30	56	50	57	66	87	74	0	90	57	0	27	4	1,550,000$
8	Nikita Alexandrov	X				98.00	50	45	90	79	56	50	40	45	71	40	50	55	50	83	70	0	90	54	0	25	5	1,075,000$
9	Tanner Laczynski	X				96.00	50	45	87	75	69	50	40	47	30	40	54	55	50	87	74	0	90	53	0	28	4	775,000$
10	Ben Meyers	X				98.00	56	45	92	77	59	50	40	45	30	40	50	57	50	86	73	0	90	53	0	26	2	925,000$
11	Samuel Laberge	X				100.00	50	45	95	75	72	50	40	45	30	40	50	55	50	87	74	0	90	53	0	28	2	800,000$
12	Parker Wotherspoon				X	98.00	77	45	90	79	57	75	66	51	30	49	52	68	65	87	79	0	90	64	0	28	5	3,000,000$
13	Torey Krug				X	98.00	50	45	84	89	51	50	40	45	30	40	50	55	50	93	89	0	90	58	0	34	2	2,250,000$
14	Dysin Mayo				X	100.00	50	45	95	78	60	50	40	45	30	40	50	55	50	86	74	0	90	56	0	29	3	800,000$
15	Kyle Capobianco				X	100.00	50	45	90	76	64	50	40	45	30	40	50	55	50	87	75	0	90	56	0	28	3	800,000$
16	Cole McWard (R)				X	100.00	50	45	95	77	58	50	40	45	30	40	50	55	50	82	69	0	90	55	0	24	5	800,000$
Scratches
1	Rocco Grimaldi		X			100.00	50	45	95	78	60	50	40	45	30	40	50	55	50	90	77	0	90	53	0	32	3	775,000$
2	Aku Raty (R)			X		100.00	50	45	95	80	50	50	40	45	30	40	50	55	50	82	71	0	90	52	0	24	5	1,075,000$
3	Matthew Phillips (R)		X			100.00	50	45	95	82	40	50	40	45	30	40	50	55	50	86	73	0	90	52	0	27	4	775,000$
4	Gabriel Landeskog		X			100.00	50	45	95	74	60	50	40	45	30	40	50	55	50	91	78	0	90	52	0	32	2	900,000$
5	Alexander Chmelevski			X		100.00	50	45	95	77	60	50	40	45	30	40	50	55	50	84	71	0	90	52	0	26	4	775,000$
6	Nathan Smith (R)	X				100.00	50	45	95	79	60	50	40	45	30	40	50	55	50	84	71	0	90	52	0	26	3	800,000$
7	Aidan McDonough (R)	X				100.00	50	45	95	77	60	50	40	45	30	40	50	55	50	83	70	0	90	52	0	25	4	800,000$

	TEAM AVERAGE					98.91	58	46	89	79	61	54	49	49	32	45	53	59	56	86	74	0	90	56

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	Clay Stevenson (R)	95.00	70	50	60	87	70	70	70	70	70	70	70	85	72	0	90	62	0	26	5	900,000$
2	Kevin Mandolese (R)	100.00	70	40	40	83	65	65	65	65	65	65	65	82	70	0	90	57	0	25	5	800,000$
Scratches

	TEAM AVERAGE	97.50	70	45	50	85	68	68	68	68	68	68	68	84	71	0	90	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Lane Lambert	65	65	65	65	94	73	52	CAN	62	4	1,000,000$

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	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brett Leason	Sags (CHI)	LW	55	16	16	32	-2	38	0	95	86	136	30	75	11.76%	28	1071	19.48	7	7	14	40	229	6	174	3	2	35.77%	137	1	0.60	0	1	0	0	0	6	4	2
2	Parker Wotherspoon	Sags (CHI)	D	54	10	21	31	-12	88	0	191	69	108	36	45	9.26%	78	1244	23.05	5	9	14	73	221	0	130	0	2	33.33%	3	0	0.50	1	2	0	0	0	5	5	6
3	Craig Smith	Sags (CHI)	RW	47	15	11	26	-11	24	0	94	69	118	38	83	12.71%	9	840	17.88	4	4	8	31	165	0	10	2	1	52.38%	63	0	0.62	0	0	0	0	0	6	3	3
4	Torey Krug	Sags (CHI)	D	69	5	21	26	-15	44	0	119	56	71	19	47	7.04%	76	1360	19.72	3	7	10	40	218	0	152	0	0	50.00%	2	0	0.38	0	0	0	0	0	4	4	1
5	Tanner Jeannot	Sags (CHI)	RW	71	13	11	24	-24	113	15	218	75	123	27	78	10.57%	11	1076	15.16	2	5	7	19	93	0	37	0	0	43.28%	201	0	0.45	2	2	1	1	1	5	7	5
6	Philip Tomasino	Sags (CHI)	LW	43	9	13	22	-15	10	0	56	87	111	37	82	8.11%	17	860	20.01	5	4	9	28	157	1	100	2	0	42.62%	61	0	0.51	0	0	0	0	0	3	4	1
7	Luke Evangelista	Sags (CHI)	RW	27	7	13	20	-9	6	0	32	70	70	17	49	10.00%	10	588	21.78	2	5	7	21	113	0	14	1	0	40.00%	70	0	0.68	0	0	0	0	0	3	2	1
8	Tanner Laczynski	Sags (CHI)	C	48	5	11	16	-11	10	0	10	79	45	7	31	11.11%	7	857	17.86	0	3	3	7	126	3	94	2	0	39.67%	1041	0	0.37	0	0	0	0	0	2	0	2
9	Juha Jaaska	Sags (CHI)	LW	49	6	8	14	-10	17	5	35	53	57	18	42	10.53%	8	665	13.59	1	1	2	6	50	0	34	1	1	37.63%	93	0	0.42	0	0	0	1	0	2	3	2
10	Kyle Capobianco	Sags (CHI)	D	74	3	10	13	-18	42	0	115	43	47	9	27	6.38%	78	1242	16.79	2	0	2	8	67	0	76	2	0	44.44%	9	0	0.21	0	0	0	0	0	3	4	3
11	Ben Meyers	Sags (CHI)	C	37	3	7	10	-13	8	0	21	56	50	4	19	6.00%	13	630	17.05	2	1	3	9	39	0	12	0	0	38.11%	530	0	0.32	0	1	0	0	0	1	1	3
12	Dysin Mayo	Sags (CHI)	D	37	2	8	10	-13	24	0	50	24	15	5	18	13.33%	34	651	17.60	1	2	3	6	55	0	37	1	0	34.00%	50	0	0.31	0	0	0	0	0	1	2	1
13	Cole McWard	Sags (CHI)	D	51	2	6	8	-17	32	0	61	27	28	6	15	7.14%	44	732	14.37	0	1	1	2	12	0	22	0	0	21.05%	19	0	0.22	0	0	0	0	0	1	1	0
14	Nikita Alexandrov	Sags (CHI)	C	33	1	7	8	-8	2	0	9	65	19	4	14	5.26%	4	621	18.83	1	3	4	5	121	3	79	0	0	57.27%	777	0	0.26	0	0	0	0	0	0	0	1
15	Landon Slaggert	Sags (CHI)	LW	13	5	1	6	-9	0	0	3	25	26	7	17	19.23%	10	232	17.87	2	0	2	8	35	0	23	2	1	30.00%	20	0	0.52	0	0	0	0	0	1	0	1
16	Gabriel Landeskog	Sags (CHI)	LW	50	3	3	6	-20	4	0	19	40	42	15	33	7.14%	7	711	14.22	0	0	0	1	29	0	9	0	0	40.74%	54	0	0.17	0	1	0	0	0	0	2	1
17	Samuel Laberge	Sags (CHI)	C	41	2	3	5	-13	0	0	11	63	24	9	21	8.33%	4	590	14.40	0	0	0	0	22	0	13	1	0	41.09%	567	0	0.17	0	0	0	0	0	0	0	1
18	Aku Raty	Sags (CHI)	RW	23	3	1	4	-1	2	0	4	28	19	12	19	15.79%	3	284	12.36	0	0	0	1	15	0	9	2	0	54.17%	24	0	0.28	0	1	0	0	0	0	2	3
19	Nathan Smith	Sags (CHI)	C	23	2	2	4	-5	0	0	8	38	29	4	27	6.90%	10	340	14.81	1	0	1	5	33	0	29	0	0	40.73%	410	0	0.23	0	2	0	0	0	1	0	4
20	Rocco Grimaldi	Sags (CHI)	LW	16	3	1	4	-2	0	0	4	15	24	1	13	12.50%	3	262	16.43	0	0	0	0	12	0	7	2	0	25.00%	28	0	0.30	0	0	0	0	0	0	1	1
21	Aidan McDonough	Sags (CHI)	C	21	0	3	3	-9	2	0	7	20	18	5	4	0%	2	250	11.93	0	0	0	1	2	0	2	0	0	36.47%	255	0	0.24	0	0	0	0	0	0	0	1
Team Total or Average				882	115	177	292	-237	466	20	1162	1088	1180	310	759	9.75%	456	15116	17.14	38	52	90	311	1823	13	1071	21	7	42.73%	4414	1	0.39	3	10	1	2	1	44	45	43

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	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Clay Stevenson	Sags (CHI)	30	11	16	3	0.917	2.77	1779	3	82	983	1	0	0.857	7	30	1	7	6	4
2	Kevin Mandolese	Sags (CHI)	23	10	11	1	0.918	2.79	1354	1	63	766	0	1	0.500	4	22	46	7	3	3
Team Total or Average			53	21	27	4	0.917	2.78	3133	4	145	1749	1	1		11	52	47	14	9	7

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	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	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap 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	Link
Aidan McDonough	Sags (CHI)	C	25	1999-11-06	USA	Yes	190 Lbs	6 ft3	No	No	Trade	2026-05-28	No	No	4	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Aku Raty	Sags (CHI)	RW	24	2001-07-05	FIN	Yes	170 Lbs	6 ft0	No	No	Assign Manually		No	No	5	2026-03-20	False	False	Pro & Farm	1,075,000$	179,167$	0$	0$	No	1,075,000$	1,075,000$	1,075,000$	1,075,000$	-	-	-	-	-	1,075,000$	1,075,000$	1,075,000$	1,075,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Alexander Chmelevski	Sags (CHI)	RW	26	1999-06-09	USA	No	188 Lbs	6 ft0	No	No	N/A		No	No	4	2026-03-08	False	False	Pro & Farm	775,000$	129,167$	0$	0$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Ben Meyers	Sags (CHI)	C	26	1998-11-15	USA	No	194 Lbs	5 ft11	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	925,000$	154,167$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Brett Leason	Sags (CHI)	LW	26	1999-04-30	CAN	No	218 Lbs	6 ft5	No	No	Trade	2026-05-16	No	No	3	2026-03-08	False	False	Pro & Farm	1,250,000$	208,333$	0$	0$	No	1,250,000$	1,250,000$	-	-	-	-	-	-	-	1,250,000$	1,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Clay Stevenson	Sags (CHI)	G	26	1999-03-03	CAN	Yes	195 Lbs	6 ft4	No	No	Prospect		No	No	5	2026-03-08	False	False	Pro & Farm	900,000$	150,000$	0$	0$	No	900,000$	900,000$	900,000$	900,000$	-	-	-	-	-	900,000$	900,000$	900,000$	900,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Cole McWard	Sags (CHI)	D	24	2001-06-09	USA	Yes	192 Lbs	6 ft1	No	No	Trade	2025-09-11	No	No	5	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Craig Smith	Sags (CHI)	RW	36	1989-09-05	USA	No	203 Lbs	6 ft1	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	950,000$	158,333$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Dysin Mayo	Sags (CHI)	D	29	1996-08-17	CAN	No	183 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Gabriel Landeskog	Sags (CHI)	LW	32	1992-11-23	SWE	No	215 Lbs	6 ft1	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	900,000$	150,000$	0$	0$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Juha Jaaska	Sags (CHI)	LW	27	1998-02-09	SWE	Yes	210 Lbs	6 ft0	No	No	Assign Manually		No	No	4	2026-03-08	False	False	Pro & Farm	1,550,000$	258,333$	0$	0$	No	1,550,000$	1,550,000$	1,550,000$	-	-	-	-	-	-	1,550,000$	1,550,000$	1,550,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Kevin Mandolese	Sags (CHI)	G	25	2000-08-22	CAN	Yes	180 Lbs	6 ft4	No	No	N/A		No	No	5	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Kyle Capobianco	Sags (CHI)	D	28	1997-08-13	CAN	No	201 Lbs	6 ft2	No	No	Assign Manually		No	No	3	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Landon Slaggert	Sags (CHI)	LW	23	2002-06-25	USA	No	180 Lbs	6 ft0	No	No	Trade	2025-03-28	No	No	2	2026-03-08	False	False	Pro & Farm	925,000$	154,167$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Luke Evangelista	Sags (CHI)	RW	23	2002-02-21	CAN	No	183 Lbs	6 ft0	No	No	Trade	2026-04-21	No	No	3	2026-03-08	False	False	Pro & Farm	3,000,000$	500,000$	0$	0$	No	3,000,000$	3,000,000$	-	-	-	-	-	-	-	3,000,000$	3,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Matthew Phillips	Sags (CHI)	LW	27	1998-04-06	CAN	Yes	160 Lbs	5 ft8	No	No	N/A		No	No	4	2026-03-08	False	False	Pro & Farm	775,000$	129,167$	0$	0$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Nathan Smith	Sags (CHI)	C	26	1998-10-19	USA	Yes	177 Lbs	6 ft0	No	No	N/A		No	No	3	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Nikita Alexandrov	Sags (CHI)	C	25	2000-09-16	RUS	No	177 Lbs	6 ft1	No	No	Assign Manually		No	No	5	2026-03-20	False	False	Pro & Farm	1,075,000$	179,167$	0$	0$	No	1,075,000$	1,075,000$	1,075,000$	1,075,000$	-	-	-	-	-	1,075,000$	1,075,000$	1,075,000$	1,075,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Parker Wotherspoon	Sags (CHI)	D	28	1997-08-24	CAN	No	195 Lbs	6 ft1	No	No	Trade	2025-12-11	No	No	5	2026-03-08	False	False	Pro & Farm	3,000,000$	500,000$	0$	0$	No	3,000,000$	3,000,000$	3,000,000$	3,000,000$	-	-	-	-	-	3,000,000$	3,000,000$	3,000,000$	3,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	NHL Link
Philip Tomasino	Sags (CHI)	LW	24	2001-07-28	CAN	No	179 Lbs	6 ft0	No	No	Trade	2025-12-07	No	No	1	2026-03-08	False	False	Pro & Farm	1,200,000$	200,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Rocco Grimaldi	Sags (CHI)	LW	32	1993-02-08	USA	No	180 Lbs	5 ft6	No	No	N/A		No	No	3	2026-03-08	False	False	Pro & Farm	775,000$	129,167$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Samuel Laberge	Sags (CHI)	C	28	1997-04-10	CAN	No	206 Lbs	6 ft2	No	No	N/A		No	No	2	2026-03-08	False	False	Pro & Farm	800,000$	133,333$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Tanner Jeannot	Sags (CHI)	RW	28	1997-05-29	CAN	No	220 Lbs	6 ft2	No	No	Trade	2026-01-16	No	No	4	2026-03-08	False	False	Pro & Farm	2,000,000$	333,333$	0$	0$	No	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Tanner Laczynski	Sags (CHI)	C	28	1997-06-01	USA	No	190 Lbs	6 ft1	No	No	N/A		No	No	4	2026-03-08	False	False	Pro & Farm	775,000$	129,167$	0$	0$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Torey Krug	Sags (CHI)	D	34	1991-04-12	USA	No	194 Lbs	5 ft9	No	No	Trade	2025-06-06	No	No	2	2026-03-08	False	False	Pro & Farm	2,250,000$	375,000$	0$	0$	No	2,250,000$	-	-	-	-	-	-	-	-	2,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	27.20	191 Lbs	6 ft1	3.40	1,188,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brett Leason	Nikita Alexandrov	Luke Evangelista	35	1	2	2
2	Philip Tomasino	Tanner Laczynski	Craig Smith	30	1	2	2
3	Landon Slaggert	Ben Meyers	Tanner Jeannot	25	1	2	2
4	Juha Jaaska	Samuel Laberge	Luke Evangelista	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Parker Wotherspoon	Torey Krug	35	1	2	2
2		Dysin Mayo	30	1	2	2
3	Kyle Capobianco	Cole McWard	25	1	2	2
4	Parker Wotherspoon	Torey Krug	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brett Leason	Nikita Alexandrov	Luke Evangelista	55	1	2	2
2	Philip Tomasino	Tanner Laczynski	Craig Smith	45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Parker Wotherspoon	Torey Krug	55	1	2	2
2		Dysin Mayo	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nikita Alexandrov	Brett Leason	55	1	2	2
2	Tanner Laczynski	Philip Tomasino	45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Parker Wotherspoon	Torey Krug	55	1	2	2
2		Dysin Mayo	45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nikita Alexandrov	55	1	2	2	Parker Wotherspoon	Torey Krug	55	1	2	2
2	Tanner Laczynski	45	1	2	2		Dysin Mayo	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nikita Alexandrov	Brett Leason	55	1	2	2
2	Tanner Laczynski	Philip Tomasino	45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Parker Wotherspoon	Torey Krug	55	1	2	2
2		Dysin Mayo	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brett Leason	Nikita Alexandrov	Luke Evangelista	Parker Wotherspoon	Torey Krug

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Philip Tomasino	Tanner Laczynski	Craig Smith		Dysin Mayo

Extra Forwards
Normal	PowerPlay	Penalty Kill
Tanner Jeannot, Landon Slaggert, Juha Jaaska	Tanner Jeannot, Landon Slaggert	Tanner Jeannot

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Dysin Mayo, Kyle Capobianco, Cole McWard	Dysin Mayo	Dysin Mayo, Kyle Capobianco

Penalty Shots
Luke Evangelista, Brett Leason, Craig Smith, Philip Tomasino, Tanner Jeannot

Goalie
#1 : Clay Stevenson, #2 : Kevin Mandolese

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

Custom OT Lines Defensemen
, , , ,

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	RI
1	Bandits	3	2	1	0	0	0	0	0	11	8	3	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	6	3	3	4	0.667	11	22	33	0	0	63	63	59	5	82	608	624	614	23	107	24	24	78	14	0	0.00%	10	3	70.00%	1	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
2	Barracudas	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	5	9	14	1	0	63	63	59	5	55	608	624	614	23	87	21	4	51	7	1	14.29%	2	1	50.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
3	Bayou	2	0	2	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	63	63	59	5	46	608	624	614	23	75	21	14	47	9	0	0.00%	7	2	71.43%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
4	Chiwawa	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	6	3	3	4	1.000	8	15	23	0	1	63	63	59	5	53	608	624	614	23	59	12	9	39	9	3	33.33%	2	0	100.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
5	CoolFm	3	1	1	0	0	1	0	0	8	9	-1	1	0	0	0	0	1	0	0	2	3	-1	2	1	1	0	0	0	0	0	6	6	0	3	0.500	8	14	22	0	0	63	63	59	5	57	608	624	614	23	89	28	20	64	15	4	26.67%	10	3	70.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
6	Farmers	2	1	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	3	5	8	0	0	63	63	59	5	41	608	624	614	23	68	19	17	31	7	1	14.29%	6	0	100.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
7	Goons	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	4	6	10	0	0	63	63	59	5	51	608	624	614	23	31	9	14	41	3	0	0.00%	7	1	85.71%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
8	Grizzlies	3	1	2	0	0	0	0	0	7	7	0	2	1	1	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.333	7	12	19	0	0	63	63	59	5	104	608	624	614	23	107	24	62	87	14	2	14.29%	15	2	86.67%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
9	Hunters	4	1	3	0	0	0	0	0	9	17	-8	2	0	2	0	0	0	0	0	2	10	-8	2	1	1	0	0	0	0	0	7	7	0	2	0.250	9	18	27	0	1	63	63	59	5	104	608	624	614	23	173	50	26	95	25	1	4.00%	11	3	72.73%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
10	Husky	3	2	0	0	0	0	0	1	10	7	3	1	1	0	0	0	0	0	0	3	1	2	2	1	0	0	0	0	0	1	7	6	1	5	0.833	10	20	30	0	0	63	63	59	5	97	608	624	614	23	78	24	38	66	18	5	27.78%	18	4	77.78%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
11	Igloos	3	1	2	0	0	0	0	0	7	10	-3	2	1	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	3	5	-2	2	0.333	7	11	18	0	0	63	63	59	5	71	608	624	614	23	108	31	36	55	8	1	12.50%	17	3	82.35%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
12	Marlies	3	0	3	0	0	0	0	0	6	12	-6	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	6	10	16	0	0	63	63	59	5	57	608	624	614	23	116	30	29	59	16	1	6.25%	11	3	72.73%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
13	Marmots	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	10	15	0	0	63	63	59	5	45	608	624	614	23	41	5	10	36	9	2	22.22%	5	2	60.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
14	Outlaws	2	1	0	0	0	1	0	0	6	6	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	6	11	17	0	0	63	63	59	5	39	608	624	614	23	97	27	12	53	11	5	45.45%	6	1	83.33%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
15	Predateurs	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	4	-1	1	0.500	3	5	8	0	0	63	63	59	5	26	608	624	614	23	35	12	8	16	7	2	28.57%	4	1	75.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
16	Raptors	3	1	2	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	4	2	2	2	0	2	0	0	0	0	0	4	6	-2	2	0.333	8	15	23	0	0	63	63	59	5	83	608	624	614	23	103	32	26	65	13	0	0.00%	13	0	100.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
17	Rockets	6	1	4	0	0	1	0	0	15	24	-9	3	1	2	0	0	0	0	0	7	11	-4	3	0	2	0	0	1	0	0	8	13	-5	3	0.250	15	27	42	0	0	63	63	59	5	169	608	624	614	23	238	76	62	147	27	7	25.93%	25	5	80.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
18	Scorpions	2	2	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	14	21	0	0	63	63	59	5	70	608	624	614	23	59	21	12	52	7	2	28.57%	5	1	80.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
19	Smirnoff Ice	3	3	0	0	0	0	0	0	9	3	6	2	2	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	2	3	6	1.000	9	17	26	0	1	63	63	59	5	76	608	624	614	23	72	24	16	60	16	3	18.75%	8	1	87.50%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
20	Snowbirds	2	1	1	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	0	3	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	5	7	12	0	1	63	63	59	5	37	608	624	614	23	54	13	6	37	4	1	25.00%	3	0	100.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
21	Spartans	2	2	0	0	0	0	0	0	12	5	7	1	1	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	4	2	2	4	1.000	12	22	34	0	0	63	63	59	5	60	608	624	614	23	67	20	22	53	16	5	31.25%	11	0	100.00%	1	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
22	Supreme	2	1	0	0	0	1	0	0	6	5	1	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	6	11	17	0	0	63	63	59	5	65	608	624	614	23	76	13	21	44	19	4	21.05%	7	0	100.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
23	Thugs	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	63	63	59	5	27	608	624	614	23	43	18	16	25	4	0	0.00%	8	2	75.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
24	TigersCats	3	0	2	0	1	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	2	4	-2	2	0	1	0	1	0	0	0	3	4	-1	2	0.333	5	10	15	0	0	63	63	59	5	46	608	624	614	23	118	37	29	64	14	2	14.29%	12	1	91.67%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
25	Twins	3	2	0	0	0	0	1	0	5	2	3	1	1	0	0	0	0	0	0	2	1	1	2	1	0	0	0	0	1	0	3	1	2	6	1.000	5	6	11	0	1	63	63	59	5	45	608	624	614	23	68	20	22	40	12	2	16.67%	11	0	100.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
26	Vandals	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	7	11	1	0	63	63	59	5	56	608	624	614	23	38	10	18	37	8	0	0.00%	9	2	77.78%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
27	Vipers	2	1	0	0	1	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	3	2	1	4	1.000	7	14	21	0	0	63	63	59	5	52	608	624	614	23	74	22	20	47	9	2	22.22%	9	0	100.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
28	Warriors	3	0	3	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	3	4	-1	2	0	2	0	0	0	0	0	1	7	-6	0	0.000	4	7	11	0	0	63	63	59	5	68	608	624	614	23	81	22	20	52	7	2	28.57%	10	1	90.00%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
29	Wolves	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	4	7	0	0	63	63	59	5	31	608	624	614	23	54	8	16	14	5	0	0.00%	7	2	71.43%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
30	Xpress	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	6	11	17	0	0	63	63	59	5	45	608	624	614	23	71	18	16	38	13	2	15.38%	7	2	71.43%	0	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
	Total	74	29	36	0	2	5	1	1	188	220	-32	36	20	15	0	0	1	0	0	93	95	-2	38	9	21	0	2	4	1	1	95	125	-30	70	0.473	188	340	528	2	5	63	63	59	5	1858	608	624	614	23	2487	691	645	1593	346	60	17.34%	276	46	83.33%	2	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
	_Since Last GM Reset	74	29	36	0	2	5	1	1	188	220	-32	36	20	15	0	0	1	0	0	93	95	-2	38	9	21	0	2	4	1	1	95	125	-30	70	0.473	188	340	528	2	5	63	63	59	5	1858	608	624	614	23	2487	691	645	1593	346	60	17.34%	276	46	83.33%	2	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
	_Vs Conference	29	14	10	0	1	3	1	0	79	78	1	13	10	3	0	0	0	0	0	39	28	11	16	4	7	0	1	3	1	0	40	50	-10	35	0.603	79	140	219	2	3	63	63	59	5	745	608	624	614	23	989	270	226	620	140	27	19.29%	104	12	88.46%	1	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448
	_Vs Division	14	9	4	0	0	1	0	0	46	33	13	7	6	1	0	0	0	0	0	24	13	11	7	3	3	0	0	1	0	0	22	20	2	19	0.679	46	84	130	0	2	63	63	59	5	395	608	624	614	23	461	129	112	315	72	15	20.83%	49	3	93.88%	1	952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%	1717	1194	1854	522	890	448

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
74	70	W1	188	340	528	1858	2487	691	645	1593	2	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
74	29	36	2	5	1	1	188	220

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	20	15	0	1	0	0	93	95

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	9	21	2	4	1	1	95	125

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
346	60	17.34%	276	46	83.33%	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
608	624	614	23	63	63	59	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
952	2216	42.96%	1193	2612	45.67%	493	1103	44.70%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1717	1194	1854	522	890	448

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	Link
1	12	Hunters	6	Sags	2	L			Box score
2	27	Sags	2	Rockets	4	L			Box score
3	35	Sags	5	CoolFm	4	W			Box score
5	54	Rockets	4	Sags	5	W			Box score
6	71	Sags	1	Goons	5	L			Box score
7	82	Marmots	2	Sags	4	W			Box score
9	102	Sags	3	Husky	1	W			Box score
10	112	Rockets	3	Sags	0	L			Box score
11	120	Sags	1	TigersCats	3	L			Box score
12	142	Smirnoff Ice	0	Sags	2	W			Box score
14	163	Marlies	5	Sags	3	L			Box score
15	175	Sags	1	CoolFm	2	L			Box score
16	181	Sags	1	Hunters	7	L			Box score
17	203	Grizzlies	2	Sags	1	L			Box score
18	214	Sags	1	Twins	0	W	X	X	Box score
19	232	Farmers	1	Sags	2	W			Box score
20	245	Sags	3	Rockets	5	L			Box score
22	265	Raptors	2	Sags	4	W			Box score
23	278	Sags	6	Chiwawa	3	W			Box score
24	292	Sags	4	Husky	5	L	X	X	Box score
25	306	Husky	1	Sags	3	W			Box score
27	324	Spartans	3	Sags	8	W			Box score
28	336	Sags	1	Grizzlies	2	L			Box score
29	348	Sags	6	Hunters	0	W			Box score
30	365	Grizzlies	3	Sags	5	W			Box score
31	381	Sags	3	Outlaws	4	L	X		Box score
33	397	Hunters	4	Sags	0	L			Box score
34	414	Sags	1	Marmots	2	L			Box score
35	426	Twins	1	Sags	2	W			Box score
36	437	Sags	3	Supreme	4	L	X		Box score
37	456	Snowbirds	0	Sags	3	W			Box score
39	476	Sags	2	Snowbirds	3	L			Box score
40	486	Sags	2	Barracudas	6	L			Box score
41	494	Xpress	4	Sags	3	L			Box score
42	517	Chiwawa	0	Sags	2	W			Box score
43	528	Sags	4	Spartans	2	W			Box score
44	547	Vipers	2	Sags	4	W			Box score
45	554	Sags	3	Igloos	5	L			Box score
46	573	Sags	3	Scorpions	2	W			Box score
47	584	Sags	6	Bandits	3	W			Box score
48	596	Barracudas	5	Sags	3	L			Box score
49	617	Scorpions	3	Sags	4	W			Box score
50	632	Sags	3	Rockets	4	L	X		Box score
52	649	CoolFm	3	Sags	2	L	X		Box score
53	669	Sags	1	Farmers	3	L			Box score
54	675	Sags	2	Marlies	3	L			Box score
55	689	Goons	2	Sags	3	W			Box score
56	703	Sags	1	Warriors	3	L			Box score
57	715	Bandits	2	Sags	3	W			Box score
58	739	Supreme	1	Sags	3	W			Box score
59	756	Sags	3	Xpress	7	L			Box score
60	763	Sags	2	Twins	1	W			Box score
61	778	Marlies	4	Sags	1	L			Box score
63	802	Vandals	2	Sags	3	W			Box score
64	812	Sags	3	Raptors	4	L			Box score
65	826	Sags	5	Smirnoff Ice	2	W			Box score
66	837	TigersCats	4	Sags	2	L			Box score
68	857	Sags	1	Raptors	2	L			Box score
69	866	Igloos	2	Sags	3	W			Box score
70	887	Sags	1	Vandals	3	L			Box score
71	897	Smirnoff Ice	1	Sags	2	W			Box score
73	917	Sags	0	Warriors	4	L			Box score
74	926	Rockets	4	Sags	2	L			Box score
76	948	Sags	3	Wolves	6	L			Box score
77	959	Igloos	3	Sags	1	L			Box score
79	991	Bandits	3	Sags	2	L			Box score
80	999	Sags	2	TigersCats	1	W	X		Box score
82	1021	Warriors	4	Sags	3	L			Box score
83	1043	Bayou	3	Sags	0	L			Box score
84	1053	Sags	3	Vipers	2	W	X		Box score
86	1068	Sags	3	Predateurs	4	L	X		Box score
87	1083	Thugs	4	Sags	0	L			Box score
89	1101	Sags	0	Bayou	4	L			Box score
90	1114	Outlaws	2	Sags	3	W			Box score
92	1131	Sags	-	Goons	-
93	1146	Farmers	-	Sags	-
Trade Deadline --- Trades can’t be done after this day is simulated!
95	1170	Sags	-	Xpress	-
96	1177	Marmots	-	Sags	-
99	1206	Wolves	-	Sags	-
101	1217	Sags	-	Thugs	-
103	1239	Predateurs	-	Sags	-
108	1271	Wolves	-	Sags	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	80	30
Attendance	72,000	36,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
5	3000 - 100.00%	228,000$	8,208,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
3,373,033$	2,970,000$	2,970,000$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	2,533,921$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,140,000$	18	36,759$	661,662$

Sags 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

Sags 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

Sags 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

Sags 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

Sags 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

	Sags
	GP: 74 \| W: 32 \| L: 36 \| OTL: 6 \| P: 70 GF: 188 \| GA: 220 \| PP%: 17.34% \| PK%: 83.33% GM : Nicolas Gagnon \| Morale : 90 \| Team Overall : 57 Next Games #1131 vs Goons