Colorado Avalanche
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Nordiks 42-25-8, 92pts	4	FINAL	5	Americiens 43-26-3, 89pts

Team Stats
W1	Streak	W2
19-13-4	Home Record	22-13-2
23-12-4	Home Record	21-13-1
6-2-2	Last 10 Games	7-3-0
5.32	Goals Per Game	5.15
4.84	Goals Against Per Game	4.68
24.42%	Power Play Percentage	27.39%
73.74%	Penalty Kill Percentage	72.57%

Nordiks
42-25-8, 92pts

FINAL

Roadrunners
42-25-7, 91pts

Team Stats
W1	Streak	L1
19-13-4	Home Record	22-14-1
23-12-4	Home Record	20-11-6
6-2-2	Last 10 Games	4-6-0
5.32	Goals Per Game	3.82
4.84	Goals Against Per Game	3.66
24.42%	Power Play Percentage	26.83%
73.74%	Penalty Kill Percentage	76.27%

Barons
31-36-6, 68pts

Day 160

Nordiks
42-25-8, 92pts

Team Stats
L1	Streak	W1
17-16-4	Home Record	19-13-4
14-20-2	Away Record	23-12-4
3-7-0	Last 10 Games	6-2-2
3.60	Goals Per Game	5.32
3.84	Goals Against Per Game	5.32
22.01%	Power Play Percentage	24.42%
79.07%	Penalty Kill Percentage	73.74%

Nordiks
42-25-8, 92pts

Day 162

Admirals
28-41-4, 60pts

Team Stats
W1	Streak	L1
19-13-4	Home Record	13-22-2
23-12-4	Away Record	15-19-2
6-2-2	Last 10 Games	6-3-1
5.32	Goals Per Game	3.81
4.84	Goals Against Per Game	3.81
24.42%	Power Play Percentage	24.26%
73.74%	Penalty Kill Percentage	70.34%

Ice Bats
26-35-12, 64pts

Day 164

Nordiks
42-25-8, 92pts

Team Stats
L1	Streak	W1
13-19-5	Home Record	19-13-4
13-16-7	Away Record	23-12-4
4-4-2	Last 10 Games	6-2-2
4.16	Goals Per Game	5.32
4.96	Goals Against Per Game	5.32
26.28%	Power Play Percentage	24.42%
75.50%	Penalty Kill Percentage	73.74%

Team Leaders

Team Stats
Goals For 399 5.32 GFG	Shots For 3743 49.91 Avg	Power Play Percentage 24.4% 42 GF	Offensive Zone Start 41.7%
Goals Against 363 4.84 GAA	Shots Against 3329 44.39 Avg	Penalty Kill Percentage 73.7%% 47 GA	Defensive Zone Start 38.6%

Team Info
	General Manager	Kawika
	Coach	Mick Vukota
	Division	Pacific
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	12
	Farm Team	21
	Contract Limit	33 / 50
	Prospects	21

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	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 Motte	X			100.00	72	55	93	64	68	69	71	59	55	60	53	74	50	69	71	0	69	61	0	31	4	500,000$
2	Kyle MacLean	X			100.00	73	55	90	64	69	66	90	62	66	59	50	62	50	63	63	0	69	60	0	26	1	500,000$
3	Cole Schwindt (R)		X		100.00	70	50	99	64	73	65	63	62	67	63	50	64	50	60	61	0	69	59	0	24	1	500,000$
4	Luca Del Bel Belluz (R)	X			100.00	50	50	89	62	66	66	54	67	63	66	55	56	50	54	60	0	69	58	0	22	2	500,000$
5	Sam Morton (R)	X			100.00	56	35	89	57	65	50	51	57	50	50	64	50	52	64	74	0	69	54	0	26	1	600,000$
6	Alex Steeves (R)	X			100.00	62	50	89	53	72	50	51	62	50	50	50	50	50	60	61	0	69	53	0	26	1	500,000$
7	Emil Bemstrom	X			100.00	61	50	89	57	67	56	52	53	50	53	50	55	50	65	63	0	69	53	0	26	4	500,000$
8	Arttu Hyry		X		100.00	50	35	89	57	77	50	50	50	58	50	50	50	50	61	62	0	69	52	0	24	2	700,000$
9	Spencer Stastney			X	100.00	56	56	90	60	65	67	58	63	50	56	50	68	55	62	64	0	69	59	0	26	2	500,000$
10	Declan Carlile			X	100.00	50	35	94	57	69	50	52	50	50	50	50	50	57	62	66	0	69	52	0	25	4	500,000$
11	Luca Cagnoni (R)			X	100.00	50	44	53	57	63	50	54	50	50	50	50	50	55	53	58	0	69	51	0	21	1	0$
Scratches

	TEAM AVERAGE				100.00	59	47	88	59	69	58	59	58	55	55	52	57	52	61	64	0	69	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	Daniil Tarasov	100.00	65	70	68	77	72	64	64	68	64	50	74	62	63	0	80	65	0	26	4	1,999,999$
Scratches

	TEAM AVERAGE	100.00	65	70	68	77	72	64	64	68	64	50	74	62	63	0	80	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mick Vukota	90	80	80	80	80	75	1	CAN	59	5	500,000$

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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 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
Alex Steeves	Nordiks (COL)	C	26	1999-12-10	USA	Yes	202 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Arttu Hyry	Nordiks (COL)	RW	24	2001-04-06	FIN	No	214 Lbs	6 ft3	No	No	Free Agent		No	No	2	2025-08-13	False	False	Pro & Farm	700,000$	70,000$	8,167$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Cole Schwindt	Nordiks (COL)	RW	24	2001-04-25	CAN	Yes	203 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Daniil Tarasov	Nordiks (COL)	G	26	1999-03-27	RUS	No	203 Lbs	6 ft5	No	No	Free Agent		No	No	4	2025-07-23	False	False	Pro & Farm	1,999,999$	200,000$	23,333$	No	1,999,999$	1,999,999$	1,999,999$	-	-	-	-	-	-	1,999,999$	1,999,999$	1,999,999$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Declan Carlile	Nordiks (COL)	D	25	2000-05-18	USA	No	192 Lbs	6 ft3	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Emil Bemstrom	Nordiks (COL)	C	26	1999-06-01	SWE	No	190 Lbs	6 ft0	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Kyle MacLean	Nordiks (COL)	C	26	1999-04-29	USA	No	194 Lbs	6 ft1	No	No	Trade	2025-08-20	No	No	1	2025-03-24	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luca Cagnoni	Nordiks (COL)	D	21	2004-12-21	CAN	Yes	180 Lbs	5 ft9	No	No	Prospect		No	No	1	2025-08-04	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luca Del Bel Belluz	Nordiks (COL)	C	22	2003-11-10	CAN	Yes	185 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Sam Morton	Nordiks (COL)	C	26	1999-07-28	USA	Yes	185 Lbs	6 ft0	No	No	Free Agent		No	No	1	2025-08-13	False	False	Pro & Farm	600,000$	60,000$	7,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Spencer Stastney	Nordiks (COL)	D	26	2000-01-04	USA	No	184 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Motte	Nordiks (COL)	C	31	1995-03-10	USA	No	194 Lbs	5 ft10	No	No	Free Agent		No	No	4	2025-07-25	False	False	Pro & Farm	500,000$	50,000$	5,833$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
12	25.25	194 Lbs	6 ft1	2.25	608,333$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	0	0	5
2				30	0	0	5
3				20	0	0	5
4				10	0	0	5

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	0	0	5
2			30	0	0	5
3			20	0	0	5
4			10	0	0	5

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	0	0	5
2				40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	0	0	5
2			40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	0	5	0
2			40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	0	5	0
2			40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	0	5	0			60	0	5	0
2		40	0	5	0			40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	0	0	5
2			40	0	0	5

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	0	0	5
2			40	0	0	5

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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
1	Aces	3	1	1	0	0	1	0	0	11	12	-1	1	0	0	0	0	1	0	0	2	3	-1	2	1	1	0	0	0	0	0	9	9	0	3	0.500	11	20	31	0	0	156	124	117	5	116	1280	1166	1276	34	100	31	12	58	7	1	14.29%	6	1	83.33%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
2	Admirals	1	1	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	16	24	0	0	156	124	117	5	45	1280	1166	1276	34	22	6	6	17	1	0	0.00%	3	1	66.67%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
3	Americiens	2	0	1	0	0	1	0	0	7	11	-4	1	0	1	0	0	0	0	0	3	6	-3	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	7	14	21	0	0	156	124	117	5	80	1280	1166	1276	34	109	33	4	40	3	2	66.67%	2	0	100.00%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
4	Barons	3	0	2	0	0	0	0	1	9	14	-5	0	0	0	0	0	0	0	0	0	0	0	3	0	2	0	0	0	0	1	9	14	-5	1	0.167	9	17	26	0	0	156	124	117	5	172	1280	1166	1276	34	115	36	14	69	4	0	0.00%	7	2	71.43%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
5	Barracuda	4	4	0	0	0	0	0	0	22	11	11	2	2	0	0	0	0	0	0	11	5	6	2	2	0	0	0	0	0	0	11	6	5	8	1.000	22	43	65	0	0	156	124	117	5	170	1280	1166	1276	34	168	42	26	83	13	4	30.77%	12	0	100.00%	1	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
6	Broncos	4	1	2	0	0	0	0	1	19	20	-1	3	0	2	0	0	0	0	1	13	18	-5	1	1	0	0	0	0	0	0	6	2	4	3	0.375	19	37	56	0	0	156	124	117	5	181	1280	1166	1276	34	176	48	31	101	13	2	15.38%	13	3	76.92%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
7	Bruins	4	3	1	0	0	0	0	0	26	19	7	2	2	0	0	0	0	0	0	15	10	5	2	1	1	0	0	0	0	0	11	9	2	6	0.750	26	50	76	0	0	156	124	117	5	200	1280	1166	1276	34	160	28	22	64	8	3	37.50%	10	5	50.00%	1	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
8	Butter Knives	1	0	0	0	0	1	0	0	6	7	-1	1	0	0	0	0	1	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	6	12	18	0	0	156	124	117	5	69	1280	1166	1276	34	61	12	6	30	3	0	0.00%	3	0	100.00%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
9	Canucks	4	2	2	0	0	0	0	0	19	22	-3	2	1	1	0	0	0	0	0	9	12	-3	2	1	1	0	0	0	0	0	10	10	0	4	0.500	19	38	57	0	0	156	124	117	5	201	1280	1166	1276	34	154	48	18	91	5	0	0.00%	9	4	55.56%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
10	Fighting Pandas	3	1	1	0	0	0	1	0	17	18	-1	1	0	1	0	0	0	0	0	3	6	-3	2	1	0	0	0	0	1	0	14	12	2	4	0.667	17	30	47	0	0	156	124	117	5	145	1280	1166	1276	34	131	35	23	60	6	0	0.00%	8	4	50.00%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
11	Firebirds	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	10	19	29	0	0	156	124	117	5	82	1280	1166	1276	34	58	21	12	38	3	1	33.33%	6	3	50.00%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
12	Griffins	5	4	1	0	0	0	0	0	34	30	4	2	1	1	0	0	0	0	0	12	15	-3	3	3	0	0	0	0	0	0	22	15	7	8	0.800	34	67	101	0	0	156	124	117	5	306	1280	1166	1276	34	304	79	24	146	12	4	33.33%	12	2	83.33%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
13	Ice Bats	7	4	2	0	1	0	0	0	36	29	7	2	1	1	0	0	0	0	0	11	11	0	5	3	1	0	1	0	0	0	25	18	7	10	0.714	36	68	104	0	0	156	124	117	5	343	1280	1166	1276	34	275	87	43	156	11	4	36.36%	19	4	78.95%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
14	Lions	7	5	1	0	0	1	0	0	41	34	7	4	4	0	0	0	0	0	0	23	13	10	3	1	1	0	0	1	0	0	18	21	-3	11	0.786	41	73	114	0	0	156	124	117	5	361	1280	1166	1276	34	433	110	42	183	12	3	25.00%	14	4	71.43%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
15	Lynx	2	1	1	0	0	0	0	0	11	12	-1	1	0	1	0	0	0	0	0	2	6	-4	1	1	0	0	0	0	0	0	9	6	3	2	0.500	11	21	32	0	0	156	124	117	5	89	1280	1166	1276	34	52	11	17	45	4	0	0.00%	6	2	66.67%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
16	Marlies	2	1	1	0	0	0	0	0	9	7	2	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	7	3	4	2	0.500	9	16	25	0	0	156	124	117	5	75	1280	1166	1276	34	86	24	7	42	9	4	44.44%	1	0	100.00%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
17	Quacken	4	1	2	0	0	1	0	0	18	23	-5	2	0	1	0	0	1	0	0	9	14	-5	2	1	1	0	0	0	0	0	9	9	0	3	0.375	18	35	53	0	0	156	124	117	5	204	1280	1166	1276	34	144	44	8	107	6	1	16.67%	4	2	50.00%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
18	Roadrunners	5	3	1	0	0	1	0	0	30	20	10	3	2	1	0	0	0	0	0	15	9	6	2	1	0	0	0	1	0	0	15	11	4	7	0.700	30	59	89	0	0	156	124	117	5	241	1280	1166	1276	34	161	56	24	93	20	8	40.00%	11	3	72.73%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
19	Tomahawks	6	3	3	0	0	0	0	0	40	36	4	3	2	1	0	0	0	0	0	21	14	7	3	1	2	0	0	0	0	0	19	22	-3	6	0.500	40	78	118	0	0	156	124	117	5	365	1280	1166	1276	34	355	94	39	161	16	3	18.75%	18	4	77.78%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
20	Wombats	2	1	1	0	0	0	0	0	7	12	-5	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	8	-7	2	0.500	7	14	21	0	0	156	124	117	5	88	1280	1166	1276	34	88	21	10	48	3	0	0.00%	5	1	80.00%	1	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
21	Wranglers	4	2	2	0	0	0	0	0	19	19	0	2	1	1	0	0	0	0	0	9	10	-1	2	1	1	0	0	0	0	0	10	9	1	4	0.500	19	37	56	0	0	156	124	117	5	210	1280	1166	1276	34	177	40	32	94	13	2	15.38%	10	2	80.00%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
	Total	75	40	25	0	1	6	1	2	399	363	36	36	19	13	0	0	3	0	1	186	173	13	39	21	12	0	1	3	1	1	213	190	23	92	0.613	399	764	1163	0	0	156	124	117	5	3743	1280	1166	1276	34	3329	906	420	1726	172	42	24.42%	179	47	73.74%	3	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
	_Since Last GM Reset	75	40	25	0	1	6	1	2	399	363	36	36	19	13	0	0	3	0	1	186	173	13	39	21	12	0	1	3	1	1	213	190	23	92	0.613	399	764	1163	0	0	156	124	117	5	3743	1280	1166	1276	34	3329	906	420	1726	172	42	24.42%	179	47	73.74%	3	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
	_Vs Conference	47	26	16	0	1	3	0	1	249	230	19	20	12	6	0	0	2	0	0	107	97	10	27	14	10	0	1	1	0	1	142	133	9	58	0.617	249	476	725	0	0	156	124	117	5	2448	1280	1166	1276	34	2225	611	258	1148	99	22	22.22%	111	25	77.48%	1	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427
	_Vs Division	27	16	7	0	1	1	0	0	145	132	13	11	8	3	0	0	0	0	0	64	48	16	16	8	4	0	1	1	0	0	81	84	-3	35	0.648	145	273	418	0	0	156	124	117	5	1451	1280	1166	1276	34	1355	367	170	663	56	12	21.43%	68	16	76.47%	0	1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%	1546	1075	2061	538	918	427

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
75	92	W1	399	764	1163	3743	3329	906	420	1726	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
75	40	25	1	6	1	2	399	363

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	19	13	0	3	0	1	186	173

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	21	12	1	3	1	1	213	190

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
172	42	24.42%	179	47	73.74%	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
1280	1166	1276	34	156	124	117	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1470	3177	46.27%	1368	2935	46.61%	674	1501	44.90%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1546	1075	2061	538	918	427

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
3	9	Nordiks	5	Ice Bats	3	W			BoxScore
5	18	Broncos	7	Nordiks	4	L			BoxScore
8	31	Lions	4	Nordiks	6	W			BoxScore
9	40	Nordiks	6	Ice Bats	1	W			BoxScore
12	53	Nordiks	8	Tomahawks	6	W			BoxScore
13	62	Roadrunners	6	Nordiks	4	L			BoxScore
16	73	Tomahawks	8	Nordiks	6	L			BoxScore
18	86	Nordiks	7	Griffins	5	W			BoxScore
19	92	Nordiks	5	Ice Bats	3	W			BoxScore
21	101	Nordiks	2	Barons	3	L			BoxScore
23	110	Griffins	7	Nordiks	8	W			BoxScore
26	126	Nordiks	7	Lions	8	L	X		BoxScore
28	132	Ice Bats	6	Nordiks	4	L			BoxScore
30	145	Lions	3	Nordiks	7	W			BoxScore
33	160	Nordiks	2	Ice Bats	5	L			BoxScore
35	168	Bruins	5	Nordiks	6	W			BoxScore
37	177	Nordiks	7	Tomahawks	10	L			BoxScore
39	187	Nordiks	5	Bruins	6	L			BoxScore
41	195	Admirals	2	Nordiks	8	W			BoxScore
43	202	Nordiks	9	Lynx	6	W			BoxScore
45	212	Nordiks	7	Fighting Pandas	6	W	X	X	BoxScore
47	219	Americiens	6	Nordiks	3	L			BoxScore
49	234	Nordiks	7	Fighting Pandas	6	W			BoxScore
50	242	Lynx	6	Nordiks	2	L			BoxScore
52	256	Nordiks	5	Barracuda	2	W			BoxScore
53	262	Broncos	7	Nordiks	6	L			BoxScore
56	277	Nordiks	2	Barons	5	L			BoxScore
58	285	Nordiks	7	Marlies	3	W			BoxScore
59	292	Roadrunners	2	Nordiks	7	W			BoxScore
62	306	Wombats	4	Nordiks	6	W			BoxScore
64	318	Nordiks	7	Ice Bats	6	W	X		BoxScore
67	330	Roadrunners	1	Nordiks	4	W			BoxScore
69	345	Nordiks	8	Canucks	4	W			BoxScore
70	351	Barracuda	4	Nordiks	6	W			BoxScore
74	367	Nordiks	5	Barons	6	L	X	X	BoxScore
75	374	Quacken	7	Nordiks	6	L	X		BoxScore
79	394	Nordiks	2	Canucks	6	L			BoxScore
80	398	Quacken	7	Nordiks	3	L			BoxScore
83	416	Bruins	5	Nordiks	9	W			BoxScore
85	428	Nordiks	7	Aces	3	W			BoxScore
87	438	Barracuda	1	Nordiks	5	W			BoxScore
89	448	Nordiks	8	Wranglers	5	W			BoxScore
91	455	Marlies	4	Nordiks	2	L			BoxScore
93	463	Nordiks	1	Wombats	8	L			BoxScore
96	473	Nordiks	2	Aces	6	L			BoxScore
97	482	Fighting Pandas	6	Nordiks	3	L			BoxScore
100	498	Nordiks	4	Firebirds	1	W			BoxScore
101	506	Broncos	4	Nordiks	3	L	X	X	BoxScore
103	516	Nordiks	6	Bruins	3	W			BoxScore
105	527	Canucks	5	Nordiks	6	W			BoxScore
107	540	Nordiks	4	Quacken	6	L			BoxScore
109	549	Wranglers	6	Nordiks	7	W			BoxScore
111	561	Nordiks	4	Tomahawks	6	L			BoxScore
113	571	Ice Bats	5	Nordiks	7	W			BoxScore
115	581	Nordiks	6	Lions	5	W			BoxScore
117	592	Wranglers	4	Nordiks	2	L			BoxScore
119	600	Nordiks	2	Wranglers	4	L			BoxScore
121	611	Tomahawks	2	Nordiks	8	W			BoxScore
123	622	Nordiks	6	Broncos	2	W			BoxScore
124	631	Nordiks	5	Lions	8	L			BoxScore
125	638	Butter Knives	7	Nordiks	6	L	X		BoxScore
129	656	Nordiks	6	Barracuda	4	W			BoxScore
130	660	Tomahawks	4	Nordiks	7	W			BoxScore
133	678	Aces	3	Nordiks	2	L	X		BoxScore
136	694	Nordiks	6	Griffins	4	W			BoxScore
138	700	Griffins	8	Nordiks	4	L			BoxScore
141	716	Nordiks	6	Roadrunners	7	L	X		BoxScore
142	723	Firebirds	4	Nordiks	6	W			BoxScore
146	740	Lions	1	Nordiks	3	W			BoxScore
148	752	Nordiks	5	Quacken	3	W			BoxScore
149	764	Nordiks	9	Griffins	6	W			BoxScore
150	767	Lions	5	Nordiks	7	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
154	786	Canucks	7	Nordiks	3	L			BoxScore
156	793	Nordiks	4	Americiens	5	L	X		BoxScore
158	806	Nordiks	9	Roadrunners	4	W			BoxScore
160	812	Barons	-	Nordiks	-
162	824	Nordiks	-	Admirals	-
164	833	Ice Bats	-	Nordiks	-
168	852	Aces	-	Nordiks	-
170	862	Nordiks	-	Butter Knives	-
174	880	Griffins	-	Nordiks	-
177	893	Barons	-	Nordiks	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
5	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,106,463$	730,000$	730,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
730,000$	657,092$	12	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	21	6,833$	143,493$

Nordiks 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

Nordiks 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

Nordiks 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

Nordiks 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

Nordiks 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

	Nordiks
	GP: 75 \| W: 42 \| L: 25 \| OTL: 8 \| P: 92 GF: 399 \| GA: 363 \| PP%: 24.42% \| PK%: 73.74% GM : Kawika \| Morale : 56 \| Team Overall : 56 Next Games #812 vs Barons