Canadian Hockey League

Penguins
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	WolfPack 5-10-1, 11pts	0	FINAL	3	Iceberg 11-4-0, 22pts

Team Stats
OTL1	Streak	W3
2-6-0	Home Record	6-2-0
3-4-1	Away Record	5-2-0
4-5-1	Last 10 Games	8-2-0
2.19	Goals Per Game	3.67
3.19	Goals Against Per Game	2.80
13.85%	Power Play Percentage	13.21%
88.33%	Penalty Kill Percentage	83.12%

Iceberg
11-4-0, 22pts

FINAL

Mighty Ducks
8-8-0, 16pts

Team Stats
W3	Streak	L1
6-2-0	Home Record	4-4-0
5-2-0	Away Record	4-4-0
8-2-0	Last 10 Games	4-6-0
3.67	Goals Per Game	2.44
2.80	Goals Against Per Game	3.00
13.21%	Power Play Percentage	15.63%
83.12%	Penalty Kill Percentage	86.30%

Oceanic
10-6-1, 21pts

Day 35

Iceberg
11-4-0, 22pts

Team Stats
W1	Streak	W3
3-5-0	Home Record	6-2-0
7-1-1	Away Record	5-2-0
6-4-0	Last 10 Games	8-2-0
4.06	Goals Per Game	3.67
3.53	Goals Against Per Game	2.80
15.49%	Power Play Percentage	13.21%
85.00%	Penalty Kill Percentage	83.12%

Iceberg
11-4-0, 22pts

Day 37

Nordiques
4-10-2, 10pts

Team Stats
W3	Streak	W1
6-2-0	Home Record	3-5-0
5-2-0	Away Record	1-5-2
8-2-0	Last 10 Games	3-6-1
3.67	Goals Per Game	2.13
2.80	Goals Against Per Game	3.44
13.21%	Power Play Percentage	12.16%
83.12%	Penalty Kill Percentage	79.10%

Iceberg
11-4-0, 22pts

Day 39

IceHogs
9-6-1, 19pts

Team Stats
W3	Streak	SOL1
6-2-0	Home Record	4-3-1
5-2-0	Away Record	5-3-0
8-2-0	Last 10 Games	6-3-1
3.67	Goals Per Game	4.00
2.80	Goals Against Per Game	3.94
13.21%	Power Play Percentage	14.29%
83.12%	Penalty Kill Percentage	81.43%

Team Leaders
	Goals Mike Vecchione 7	Assists Mike Vecchione 11

	Points Mike Vecchione 18	Plus/Minus Mike Vecchione 14

Team Stats
Goals For 55 3.67 GFG	Shots For 545 36.33 Avg	Power Play Percentage 13.2% 7 GF	Offensive Zone Start 41.1%
Goals Against 42 2.80 GAA	Shots Against 454 30.27 Avg	Penalty Kill Percentage 83.1% 13 GA	Defensive Zone Start 39.5%

Team Info
	General Manager	Patrick Gagnon
	Coach	Scott Stevens
	Division	Central
	Conference	Western
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	22
	Farm Team	18
	Contract Limit	40 / 50
	Prospects	22
Team History
	This Season	11-4-0 (22PTS)
	History	779-649-128 (0.501%)
	Playoff Appearances	12
	Playoff Record (W-L)	59-67
	Stanley Cup	0

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	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	Marcus Johansson		X		100.00	53	50	84	80	65	81	96	61	40	60	62	65	51	92	87	20	22	66	0	34	3	2,000,000$
2	Max McCormick		X		100.00	66	44	72	83	53	77	67	61	40	54	69	70	90	88	83	30	24	65	0	32	2	600,000$
3	Connor Dewar	X			100.00	79	48	82	81	49	74	94	56	82	49	62	75	40	74	74	65	22	64	0	25	3	2,000,000$
4	Luke Glendening	X			100.00	75	46	80	78	52	74	98	51	91	41	60	79	40	94	84	15	22	64	0	35	3	2,000,000$
5	Michael Sgarbossa	X			100.00	55	43	88	80	51	73	60	56	81	50	63	65	40	88	81	30	24	61	0	32	2	600,000$
6	Mike Vecchione		X		100.00	60	56	80	76	54	76	66	48	40	46	51	69	40	86	81	35	33	59	0	31	2	600,000$
7	Oskar Back	X			100.00	59	51	86	75	67	68	58	50	70	60	40	69	40	72	70	70	23	59	0	24	1	850,000$
8	Kyle Burroughs			X	100.00	99	55	71	76	58	82	93	50	40	47	53	78	40	82	82	45	20	70	0	29	1	850,000$
9	Vincent Desharnais			X	100.00	81	72	76	75	88	76	96	51	40	51	52	73	40	80	78	50	24	69	0	28	1	1,200,000$
10	Haydn Fleury			X	100.00	70	54	73	75	73	77	60	54	40	54	55	74	40	80	79	50	22	66	0	28	3	2,000,000$
11	Kyle Capobianco			X	100.00	60	51	77	80	63	73	68	61	40	70	51	70	40	78	76	55	22	66	0	27	3	2,000,000$
12	Logan Stanley			X	100.00	82	95	61	75	91	72	60	49	40	43	55	72	40	76	74	60	24	66	0	26	2	1,750,000$
13	Dakota Mermis			X	100.00	62	52	76	77	59	73	75	53	40	49	58	71	40	84	79	40	24	65	0	30	2	700,000$
14	Daemon Hunt			X	100.00	56	50	90	75	64	69	51	48	40	47	50	72	40	68	69	80	23	61	0	22	2	925,000$
15	Antti Tuomisto (R)			X	100.00	65	55	80	79	74	55	50	41	40	40	42	64	40	70	63	75	23	59	0	23	1	575,000$
Scratches
1	Ozzy Wiesblatt		X		100.00	62	53	68	75	50	60	50	39	40	41	37	55	40	68	64	80	20	50	0	22	2	925,000$
2	Lucas Ciona (R)		X		100.00	75	74	60	80	75	64	54	29	40	23	36	50	40	66	65	85	20	49	0	21	2	750,000$
3	Blake McLaughlin		X		100.00	39	38	80	75	51	60	50	28	40	26	30	54	40	72	66	70	20	46	0	24	1	750,000$
4	Ole Bjorgvik-Holm			X	100.00	70	64	85	75	60	55	50	28	40	27	30	56	40	68	62	80	20	53	0	22	1	1,100,000$

	TEAM AVERAGE				100.00	67	55	77	77	63	70	68	48	49	46	50	67	43	78	75	54	23	61

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Akira Schmid	100.00	79	53	60	96	61	63	65	64	64	61	82	72	68	70	28	66	0	24	1	1,500,000$
2	Brandon Bussi (R)	100.00	80	70	75	97	57	60	60	57	58	56	50	76	68	60	28	65	0	26	3	2,000,000$
Scratches
1	Leevi Merilainen (R)	100.00	87	50	60	85	53	52	54	50	51	52	50	68	60	80	20	58	0	22	3	925,000$

	TEAM AVERAGE	100.00	82	58	65	93	57	58	60	57	58	56	61	72	65	70	25	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Scott Stevens	55	58	44	42	91	70	48	CAN	60	2	100,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Mike Vecchione	Iceberg (Pit)	LW	15	7	11	18	14	12	0	18	57	63	18	33	11.11%	5	217	14.49	0	0	0	1	2	0	0	0	0	8	2	1	38.41%	276	0	0	0	0	1.66	0	0	0	0	0	3	3	0
Team Total or Average				15	7	11	18	14	12	0	18	57	63	18	33	11.11%	5	217	14.49	0	0	0	1	2	0	0	0	0	8	2	1	38.41%	276	0	0	0	0	1.66	0	0	0	0	0	3	3	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	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
Team Total or Average							0.000	0.00	0								0.000

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2038	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2039	2040	2041	Link
Akira Schmid	Iceberg (Pit)	G	24	2000-05-12	No	205 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,500,000$	0$	0$	No	RFA			Link / NHL Link
Antti Tuomisto	Iceberg (Pit)	D	23	2001-01-20	Yes	205 Lbs	6 ft5	No	No	No	1	Pro & Farm	575,000$	0$	0$	No	RFA			NHL Link
Blake McLaughlin	Iceberg (Pit)	LW	24	2000-02-14	No	179 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No	RFA			Link / NHL Link
Brandon Bussi	Iceberg (Pit)	G	26	1998-06-25	Yes	218 Lbs	6 ft4	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	UFA	Link / NHL Link
Connor Dewar	Iceberg (Pit)	C	25	1999-06-26	No	183 Lbs	5 ft10	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	UFA	Link / NHL Link
Daemon Hunt	Iceberg (Pit)	D	22	2002-05-15	No	201 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Dakota Mermis	Iceberg (Pit)	D	30	1994-01-05	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	UFA		Link / NHL Link
Haydn Fleury	Iceberg (Pit)	D	28	1996-07-08	No	207 Lbs	6 ft4	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	UFA	Link / NHL Link
Kyle Burroughs	Iceberg (Pit)	D	29	1995-07-12	No	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	850,000$	0$	0$	No	UFA			Link / NHL Link
Kyle Capobianco	Iceberg (Pit)	D	27	1997-08-13	No	196 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	UFA	Link / NHL Link
Leevi Merilainen	Iceberg (Pit)	G	22	2002-08-13	Yes	180 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA	NHL Link
Logan Stanley	Iceberg (Pit)	D	26	1998-05-26	No	231 Lbs	6 ft7	No	No	No	2	Pro & Farm	1,750,000$	0$	0$	No	1,750,000$	UFA		Link / NHL Link
Lucas Ciona	Iceberg (Pit)	LW	21	2003-01-08	Yes	220 Lbs	6 ft2	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$	RFA		NHL Link
Luke Glendening	Iceberg (Pit)	C	35	1989-04-28	No	190 Lbs	5 ft10	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	UFA	Link / NHL Link
Marcus Johansson	Iceberg (Pit)	LW	34	1990-10-06	No	203 Lbs	6 ft1	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	UFA	Link / NHL Link
Max McCormick	Iceberg (Pit)	LW	32	1992-05-01	No	188 Lbs	5 ft11	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$	UFA		Link / NHL Link
Michael Sgarbossa	Iceberg (Pit)	C	32	1992-07-25	No	179 Lbs	6 ft0	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$	UFA		Link / NHL Link
Mike Vecchione	Iceberg (Pit)	LW	31	1993-02-25	No	193 Lbs	5 ft10	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$	UFA		Link / NHL Link
Ole Bjorgvik-Holm	Iceberg (Pit)	D	22	2002-05-23	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,100,000$	0$	0$	No	RFA			Link / NHL Link
Oskar Back	Iceberg (Pit)	C	24	2000-03-12	No	200 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	0$	0$	No	RFA			Link / NHL Link
Ozzy Wiesblatt	Iceberg (Pit)	LW	22	2002-03-09	No	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	RFA		Link / NHL Link
Vincent Desharnais	Iceberg (Pit)	D	28	1996-05-29	No	226 Lbs	6 ft7	No	No	No	1	Pro & Farm	1,200,000$	0$	0$	No	UFA			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	26.68	199 Lbs	6 ft2	2.00	1,209,091$

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

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

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

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

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

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

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

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

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

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
, Mike Vecchione, , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	BaronsOKC	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	20	30	0	0	19	25	10	1	86	135	196	211	3	86	20	34	56	8	1	12.50%	15	2	86.67%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
2	Checkers	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	19	25	10	1	34	135	196	211	3	28	12	8	21	7	0	0.00%	4	0	100.00%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
3	Cyclones	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	19	25	10	1	31	135	196	211	3	38	10	18	32	2	0	0.00%	9	1	88.89%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
4	Eagles	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	19	25	10	1	27	135	196	211	3	21	8	6	28	2	1	50.00%	3	0	100.00%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
5	IceBears	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	19	25	10	1	27	135	196	211	3	22	9	10	21	1	0	0.00%	5	2	60.00%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
6	Mighty Ducks	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	9	14	0	0	19	25	10	1	53	135	196	211	3	21	8	6	22	3	1	33.33%	3	0	100.00%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
7	Nordiques	2	0	1	0	1	0	0	0	7	7	0	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	13	20	0	0	19	25	10	1	59	135	196	211	3	49	14	23	52	10	1	10.00%	9	3	66.67%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
8	Remparts	2	2	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	16	24	0	0	19	25	10	1	84	135	196	211	3	81	23	12	57	7	1	14.29%	6	1	83.33%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
9	Roadrunners	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	7	12	0	0	19	25	10	1	41	135	196	211	3	46	9	12	22	2	0	0.00%	6	2	66.67%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
10	Senators	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	19	25	10	1	35	135	196	211	3	32	10	16	29	2	1	50.00%	7	1	85.71%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
11	WolfPack	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	5	4	1	4	1.000	8	16	24	0	1	19	25	10	1	68	135	196	211	3	30	12	22	43	9	1	11.11%	10	1	90.00%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
	Total	15	10	4	0	1	0	0	0	55	42	13	8	5	2	0	1	0	0	0	27	20	7	7	5	2	0	0	0	0	0	28	22	6	22	0.733	55	104	159	0	1	19	25	10	1	545	135	196	211	3	454	135	167	383	53	7	13.21%	77	13	83.12%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
	_Since Last GM Reset	15	10	4	0	1	0	0	0	55	42	13	8	5	2	0	1	0	0	0	27	20	7	7	5	2	0	0	0	0	0	28	22	6	22	0.733	55	104	159	0	1	19	25	10	1	545	135	196	211	3	454	135	167	383	53	7	13.21%	77	13	83.12%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
	_Vs Conference	14	10	3	0	1	0	0	0	52	38	14	7	5	1	0	1	0	0	0	24	16	8	7	5	2	0	0	0	0	0	28	22	6	22	0.786	52	98	150	0	1	19	25	10	1	510	135	196	211	3	422	125	151	354	51	6	11.76%	70	12	82.86%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
	_Vs Division	2	6	2	0	0	0	0	0	5	6	-1	2	4	1	0	0	0	0	0	5	6	-1	0	2	1	0	0	0	0	0	0	0	0	12	3.000	5	9	14	0	0	19	25	10	1	58	135	196	211	3	60	19	28	53	3	0	0.00%	14	3	78.57%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
15	22	W3	55	104	159	545	454	135	167	383	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	10	4	1	0	0	0	55	42

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	2	1	0	0	0	27	20

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	5	2	0	0	0	0	28	22

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
53	7	13.21%	77	13	83.12%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
135	196	211	3	19	25	10	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
216	512	42.19%	204	492	41.46%	108	241	44.81%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
326	231	403	105	170	80

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	Link
2	15	Cyclones	4	Iceberg	2	BL		BoxScore
3	24	Iceberg	2	Eagles	4	AL		BoxScore
5	39	IceBears	2	Iceberg	3	BW		BoxScore
9	64	Checkers	1	Iceberg	2	BW		BoxScore
11	78	Iceberg	4	BaronsOKC	2	AW		BoxScore
13	95	Senators	4	Iceberg	3	BL		BoxScore
15	111	Iceberg	5	Roadrunners	4	AW		BoxScore
17	127	Remparts	3	Iceberg	4	BW		BoxScore
19	142	Iceberg	4	Remparts	3	AW		BoxScore
21	156	BaronsOKC	3	Iceberg	6	BW		BoxScore
23	169	Iceberg	3	Nordiques	4	AL		BoxScore
25	188	Nordiques	3	Iceberg	4	BW	X	BoxScore
26	200	Iceberg	5	WolfPack	4	AW		BoxScore
29	220	WolfPack	0	Iceberg	3	BW		BoxScore
33	238	Iceberg	5	Mighty Ducks	1	AW		BoxScore
35	252	Oceanic	-	Iceberg	-
37	264	Iceberg	-	Nordiques	-
39	282	Iceberg	-	IceHogs	-
41	292	HC	-	Iceberg	-
44	314	Iceberg	-	Eagles	-
45	324	Senators	-	Iceberg	-
48	338	Iceberg	-	Oceanic	-
50	355	Draveurs	-	Iceberg	-
52	372	Iceberg	-	IceHawks	-
54	384	Magics	-	Iceberg	-
56	399	Iceberg	-	IceBears	-
58	415	Draveurs	-	Iceberg	-
60	429	Iceberg	-	BaronsOKC	-
62	442	Nordiques	-	Iceberg	-
65	464	Iceberg	-	Thunder	-
67	477	Bandits	-	Iceberg	-
69	491	Iceberg	-	Draveurs	-
70	506	Iceberg	-	SilverKnights	-
72	518	Griffins	-	Iceberg	-
75	539	IceHawks	-	Iceberg	-
76	552	Iceberg	-	Pantheres	-
79	571	Remparts	-	Iceberg	-
81	584	Iceberg	-	Remparts	-
83	597	Iceberg	-	SilverKnights	-
85	608	Eagles	-	Iceberg	-
88	631	BaronsOKC	-	Iceberg	-
90	646	Iceberg	-	National	-
92	662	HC	-	Iceberg	-
94	678	Iceberg	-	Roadrunners	-
96	692	Bandits	-	Iceberg	-
100	720	WolfPack	-	Iceberg	-
102	732	Iceberg	-	HC	-
105	752	Mighty Ducks	-	Iceberg	-
107	764	Iceberg	-	Mighty Ducks	-
109	784	Iceberg	-	WolfPack	-
110	788	Cyclones	-	Iceberg	-
113	813	Vikings	-	Iceberg	-
117	835	Iceberg	-	Cyclones	-
118	848	Vikings	-	Iceberg	-
121	871	IceBears	-	Iceberg	-
124	887	Iceberg	-	IceBears	-
126	898	Iceberg	-	Draveurs	-
127	910	Checkers	-	Iceberg	-
130	928	Iceberg	-	Wolves	-
131	940	Roadrunners	-	Iceberg	-
132	949	Iceberg	-	Bandits	-
135	968	Mighty Ducks	-	Iceberg	-
137	990	Eagles	-	Iceberg	-
138	999	Iceberg	-	Sagueneens	-
140	1009	Iceberg	-	EvilSharks	-
142	1027	Iceberg	-	HC	-
144	1037	Darkness	-	Iceberg	-
146	1051	Iceberg	-	Cyclones	-
147	1059	Iceberg	-	Checkers	-
149	1071	BigBadStars	-	Iceberg	-
152	1089	Iceberg	-	Checkers	-
154	1104	Roadrunners	-	Iceberg	-
158	1126	Spiders	-	Iceberg	-
161	1147	Iceberg	-	Vikings	-
163	1158	SilverKnights	-	Iceberg	-
165	1173	Iceberg	-	Vikings	-
168	1182	Iceberg	-	Bandits	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173	1202	SilverKnights	-	Iceberg	-

Iceberg 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
1	Alexander Seluyanov	1582	292	463	755	52	957	2120	1997	2650	11.02%	895	25094	15.86	63	107	170	279	10	11	21	76	41	13	53.28%	9	0.60	6	15
2	Tomas Kopecky	242	110	128	238	71	268	579	401	758	14.51%	169	5274	21.80	24	23	47	85	5	5	10	21	19	4	53.60%	2	0.90	3	24
3	Norman Milley	293	115	122	237	36	67	370	509	897	12.82%	109	6310	21.54	19	25	44	126	5	5	10	32	28	6	47.07%	1	0.75	9	47
4	Tomi Kallio	291	85	126	211	42	115	374	406	638	13.32%	67	3764	12.94	19	34	53	72	2	0	2	9	8	4	51.89%	3	1.12	2	11
5	Rob Collins	246	77	125	202	31	26	142	687	711	10.83%	57	5064	20.59	14	28	42	124	3	1	4	14	11	3	45.58%	3	0.80	7	22

Iceberg 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
1	Peter Budaj	208	112	74	22	0.899	2.14	12547	4	27	447	4438	547	8	2	0.748	115
2	Andrey Makarov	227	112	95	19	0.891	2.76	13565	29	16	625	5717	0	6	2	0.691	68
3	Alexander Auld	94	55	21	7	0.908	2.62	5237	32	3	229	2489	1100	6	3	0.817	60
4	Brian Boucher	82	55	19	7	0.908	2.81	4882	6	3	229	2480	1049	6	0	0.824	34
5	Brian Boucher	101	49	44	3	0.893	3.24	5813	2	0	314	2922	1327	8	0	0.818	22

Iceberg 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
Regular Season
2017	82	38	38	0	2	1	3	0	286	260	26	41	18	19	0	1	0	3	0	147	133	14	41	20	19	0	1	1	0	0	139	127	12	81	286	447	733	0	0	0	77	98	106	2528	0	789	865	866	2463	873	965	2014	268	64	23.88%	240	54	77.50%	10	983	1833	53.63%	1000	1823	54.85%	769	1379	55.77%	1708	890	1789	854	1638	831
2018	82	46	19	0	3	4	7	3	300	236	64	41	27	6	0	1	3	3	1	167	119	48	41	19	13	0	2	1	4	2	133	117	16	102	300	477	777	0	3	0	64	136	90	2668	0	776	969	893	2523	868	749	2204	183	35	19.13%	176	39	77.84%	8	932	1814	51.38%	959	1894	50.63%	697	1408	49.50%	1734	914	1600	785	1648	838
2019	82	36	24	0	6	3	8	5	268	224	44	41	18	8	0	5	1	5	4	147	107	40	41	18	16	0	1	2	3	1	121	117	4	87	268	417	685	1	2	0	67	97	90	2525	0	795	882	797	2443	828	889	2154	212	40	18.87%	212	45	78.77%	7	925	1828	50.60%	894	1850	48.32%	591	1197	49.37%	1746	939	1600	797	1649	814
2020	82	36	28	0	5	4	6	3	313	281	32	41	20	12	0	3	3	2	1	167	135	32	41	16	16	0	2	1	4	2	146	146	0	86	313	498	811	2	2	0	70	116	116	2734	0	828	961	905	2436	804	1272	2121	241	58	24.07%	248	65	73.79%	6	1101	1970	55.89%	1030	1882	54.73%	693	1296	53.47%	1794	994	1578	778	1608	796
2021	82	34	30	0	1	0	10	7	168	155	13	41	19	15	0	1	0	3	3	91	75	16	41	15	15	0	0	0	7	4	77	80	-3	70	168	279	447	0	12	0	61	35	61	1689	0	579	564	525	1551	488	984	1961	418	40	9.57%	408	46	88.73%	5	1139	2431	46.85%	1067	2275	46.90%	510	1103	46.24%	2085	1459	1904	605	1017	510
2022	81	37	27	0	1	3	4	9	161	150	11	41	24	8	0	0	0	3	6	94	65	29	40	13	19	0	1	3	1	3	67	85	-18	79	161	290	451	2	14	0	65	48	43	1516	0	502	480	515	1584	443	956	1844	384	46	11.98%	371	34	90.84%	2	1037	2255	45.99%	1085	2316	46.85%	461	1090	42.29%	2043	1433	1884	592	1006	507
2023	82	34	35	0	1	5	5	2	174	155	19	41	16	16	0	1	2	5	1	91	80	11	41	18	19	0	0	3	0	1	83	75	8	75	174	295	469	2	11	0	71	49	48	1573	0	515	515	530	1828	507	982	2009	410	56	13.66%	364	37	89.84%	3	1008	2250	44.80%	1054	2392	44.06%	452	1072	42.16%	2138	1518	1825	583	1000	516
2024	82	25	41	0	0	4	5	7	217	248	-31	41	14	16	0	0	3	3	5	116	124	-8	41	11	25	0	0	1	2	2	101	124	-23	71	217	394	611	2	4	0	86	75	51	1985	0	690	661	612	1998	555	928	2034	367	67	18.26%	361	53	85.32%	2	1043	2440	42.75%	977	2390	40.88%	538	1226	43.88%	1985	1393	2000	598	1001	500
2025	82	44	30	0	2	0	1	5	310	265	45	41	25	13	0	1	0	1	1	162	124	38	41	19	17	0	1	0	0	4	148	141	7	99	310	587	897	0	3	0	115	112	80	2843	0	936	963	921	2364	664	867	2026	352	55	15.63%	371	67	81.94%	5	1272	2864	44.41%	1154	2608	44.25%	587	1332	44.07%	1833	1297	2169	595	952	450
2026	82	40	26	0	3	3	4	6	307	266	41	41	21	13	0	2	1	1	3	151	134	17	41	19	13	0	1	2	3	3	156	132	24	103	307	572	879	2	3	0	116	92	92	2905	0	957	944	979	2227	663	823	1999	388	56	14.43%	333	42	87.39%	4	1341	2964	45.24%	1154	2566	44.97%	550	1313	41.89%	1840	1296	2165	619	976	459
2027	82	31	37	0	1	6	5	2	243	277	-34	41	19	11	0	1	4	4	2	125	120	5	41	12	26	0	0	2	1	0	118	157	-39	82	243	448	691	1	2	0	97	72	68	2359	0	752	790	791	2213	661	692	1819	359	47	13.09%	313	65	79.23%	3	1192	2561	46.54%	1154	2525	45.70%	585	1289	45.38%	1790	1230	2176	618	1010	482
2030	82	42	29	0	3	3	3	2	313	281	32	41	24	15	0	1	0	0	1	164	144	20	41	18	14	0	2	3	3	1	149	137	12	101	313	590	903	1	2	0	118	112	77	3036	0	972	1047	990	2477	746	831	2038	355	52	14.65%	350	66	81.14%	6	1301	2906	44.77%	1239	2659	46.60%	633	1361	46.51%	1849	1321	2158	580	944	448
2031	82	23	46	0	2	3	4	4	205	252	-47	41	12	21	0	1	2	3	2	107	125	-18	41	11	25	0	1	1	1	2	98	127	-29	65	205	353	558	2	4	0	68	75	56	1660	0	543	575	526	1979	549	909	2025	353	52	14.73%	378	78	79.37%	5	1306	2241	58.28%	1309	2318	56.47%	746	1253	59.54%	2080	1455	1859	581	1031	529
2032	82	42	29	0	2	1	3	5	222	186	36	41	27	12	0	0	0	1	1	115	71	44	41	15	17	0	2	1	2	4	107	115	-8	100	222	401	623	0	11	0	88	66	63	1975	0	611	646	692	1874	594	872	1922	366	64	17.49%	360	57	84.17%	3	1215	2404	50.54%	1198	2380	50.34%	612	1212	50.50%	2010	1400	1936	602	1021	516
2033	82	42	30	0	2	1	1	6	276	267	9	41	21	17	0	2	0	0	1	140	130	10	41	21	13	0	0	1	1	5	136	137	-1	97	276	514	790	0	3	0	107	93	73	2720	0	836	898	960	2359	695	821	2008	351	66	18.80%	373	69	81.50%	3	1270	2752	46.15%	1298	2638	49.20%	619	1329	46.58%	1955	1392	2029	584	977	476
2034	82	31	37	0	4	2	3	5	320	328	-8	41	19	18	0	1	1	0	2	172	168	4	41	12	19	0	3	1	3	3	148	160	-12	83	320	607	927	3	2	0	123	106	84	2787	0	953	862	933	2624	754	863	2192	323	56	17.34%	379	63	83.38%	6	1197	2720	44.01%	1216	2652	45.85%	599	1400	42.79%	1873	1333	2131	581	964	456
2035	82	13	48	0	2	6	6	7	181	290	-109	41	7	25	0	1	1	4	3	94	151	-57	41	6	23	0	1	5	2	4	87	139	-52	55	181	316	497	1	3	0	67	58	48	1486	0	533	479	448	2649	749	806	2041	334	51	15.27%	327	60	81.65%	0	1043	2061	50.61%	1399	2774	50.43%	661	1309	50.50%	1796	1191	2157	612	1047	516
2036	80	22	47	0	1	5	3	2	210	283	-73	40	15	20	0	1	2	1	1	114	140	-26	40	7	27	0	0	3	2	1	96	143	-47	59	210	376	586	1	2	0	82	61	63	1859	0	604	605	642	2512	694	832	1946	302	38	12.58%	365	68	81.37%	2	1046	2131	49.08%	1381	2664	51.84%	607	1206	50.33%	1809	1242	2040	588	988	478
2037	82	27	44	0	2	4	1	4	201	251	-50	41	14	20	0	2	2	0	3	109	132	-23	41	13	24	0	0	2	1	1	92	119	-27	68	201	349	550	1	6	74	66	58	7	1791	612	593	574	30	2277	606	954	2029	339	52	15.34%	382	70	81.68%	0	1129	2233	50.56%	1260	2504	50.32%	608	1191	51.05%	1939	1345	2012	590	1005	498
2038	15	10	4	0	1	0	0	0	55	42	13	8	5	2	0	1	0	0	0	27	20	7	7	5	2	0	0	0	0	0	28	22	6	22	55	104	159	0	1	19	25	10	1	545	135	196	211	3	454	135	167	383	53	7	13.21%	77	13	83.12%	0	216	512	42.19%	204	492	41.46%	108	241	44.81%	326	231	403	105	170	80
Total Regular Season	1570	653	649	0	44	58	82	84	4730	4697	33	786	365	287	0	26	25	42	41	2500	2297	203	784	288	362	0	18	33	40	43	2230	2400	-170	1585	4730	8314	13044	21	90	93	1633	1569	1317	43184	747	13960	14491	13558	42835	12876	17162	38769	6358	1002	15.76%	6388	1091	82.92%	80	21696	45170	48.03%	22032	45602	48.31%	11626	24207	48.03%	36343	24282	37423	12256	21662	10711
Playoff
2017	9	4	5	0	0	0	0	0	32	33	-1	4	2	2	0	0	0	0	0	15	17	-2	5	2	3	0	0	0	0	0	17	16	1	8	32	52	84	0	0	0	8	9	15	266	0	63	108	95	279	98	91	242	29	9	31.03%	23	6	73.91%	1	114	200	57.00%	103	196	52.55%	97	165	58.79%	180	92	1968	937	181	91
2018	24	14	10	0	0	0	0	0	72	63	9	13	7	6	0	0	0	0	0	32	32	0	11	7	4	0	0	0	0	0	40	31	9	28	72	117	189	0	2	0	16	23	31	726	0	170	270	276	730	236	181	591	51	9	17.65%	48	7	85.42%	1	286	526	54.37%	277	546	50.73%	177	363	48.76%	496	252	457	228	496	255
2019	6	2	4	0	0	0	0	0	19	22	-3	3	1	2	0	0	0	0	0	10	10	0	3	1	2	0	0	0	0	0	9	12	-3	4	19	31	50	1	0	0	3	4	11	201	0	65	63	72	186	62	85	153	15	3	20.00%	14	6	57.14%	1	48	125	38.40%	63	149	42.28%	37	96	38.54%	130	70	111	57	119	59
2020	8	4	4	0	0	0	0	0	30	26	4	4	2	2	0	0	0	0	0	13	12	1	4	2	2	0	0	0	0	0	17	14	3	8	30	46	76	0	0	0	5	15	10	282	0	85	100	97	230	49	132	260	23	4	17.39%	22	3	86.36%	1	108	200	54.00%	94	174	54.02%	74	136	54.41%	177	98	153	74	150	72
2021	6	2	4	0	0	0	0	0	10	13	-3	3	0	3	0	0	0	0	0	4	8	-4	3	2	1	0	0	0	0	0	6	5	1	4	10	18	28	0	0	0	3	3	4	120	0	37	45	38	138	40	76	135	36	3	8.33%	33	4	87.88%	1	75	170	44.12%	76	190	40.00%	42	89	47.19%	143	99	143	46	74	35
2022	4	0	4	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	2	5	-3	0	5	9	14	0	0	0	4	1	0	69	0	25	19	17	94	19	66	81	22	0	0.00%	18	5	72.22%	0	67	129	51.94%	64	130	49.23%	30	61	49.18%	105	74	103	32	51	25
2025	5	1	4	0	0	0	0	0	18	20	-2	2	0	2	0	0	0	0	0	5	9	-4	3	1	2	0	0	0	0	0	13	11	2	2	18	34	52	0	0	0	5	4	9	197	0	69	49	68	123	34	74	112	31	3	9.68%	28	5	82.14%	0	116	219	52.97%	65	153	42.48%	39	82	47.56%	123	86	131	39	61	29
2026	16	9	7	0	0	0	0	0	54	47	7	9	6	3	0	0	0	0	0	34	26	8	7	3	4	0	0	0	0	0	20	21	-1	18	54	101	155	0	0	0	24	19	11	592	0	189	188	168	463	147	173	414	75	11	14.67%	70	13	81.43%	0	251	574	43.73%	231	531	43.50%	104	248	41.94%	345	241	467	126	192	84
2027	4	0	4	0	0	0	0	0	4	20	-16	2	0	2	0	0	0	0	0	2	9	-7	2	0	2	0	0	0	0	0	2	11	-9	0	4	7	11	0	0	0	2	2	0	72	0	30	15	27	102	24	18	85	15	1	6.67%	8	1	87.50%	0	39	106	36.79%	44	111	39.64%	21	68	30.88%	73	46	111	33	54	23
2030	18	10	8	0	0	0	0	0	70	60	10	9	5	4	0	0	0	0	0	36	30	6	9	5	4	0	0	0	0	0	34	30	4	20	70	134	204	1	1	0	25	26	19	658	0	211	229	212	536	148	197	481	75	15	20.00%	81	12	85.19%	1	333	664	50.15%	273	595	45.88%	126	285	44.21%	407	288	468	124	208	99
2032	15	8	7	0	0	0	0	0	55	43	12	8	5	3	0	0	0	0	0	32	20	12	7	3	4	0	0	0	0	0	23	23	0	16	55	104	159	1	1	0	22	21	12	435	0	159	156	110	422	123	144	367	72	18	25.00%	53	9	83.02%	0	259	494	52.43%	233	449	51.89%	134	241	55.60%	388	278	350	105	183	95
2033	11	5	6	0	0	0	0	0	32	32	0	5	3	2	0	0	0	0	0	16	13	3	6	2	4	0	0	0	0	0	16	19	-3	10	32	57	89	0	0	0	12	6	12	217	0	63	56	69	241	74	103	287	47	9	19.15%	47	8	82.98%	0	119	279	42.65%	138	339	40.71%	87	182	47.80%	262	176	322	95	155	73
Total Playoff	126	59	67	0	0	0	0	0	401	391	10	64	31	33	0	0	0	0	0	202	193	9	62	28	34	0	0	0	0	0	199	198	1	118	401	710	1111	3	4	0	129	133	134	3835	0	1166	1298	1249	3544	1054	1340	3208	491	85	17.31%	445	79	82.25%	6	1815	3686	49.24%	1661	3563	46.62%	968	2016	48.02%	2832	1805	4790	1901	1931	946

Iceberg 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
1	Chris Simon	162	32	52	84	-16	91	242	211	266	12.03%	98	2653	16.38	9	16	25	26	1	2	3	1	4	1	55.97%	1	0.63
2	Tomi Kallio	42	15	21	36	-6	15	70	68	132	11.36%	13	712	16.96	3	3	6	13	0	0	0	4	2	0	50.70%	0	1.01
3	Norman Milley	40	13	18	31	-2	26	69	68	146	8.90%	19	904	22.60	2	2	4	17	1	0	1	4	5	1	42.53%	0	0.69
4	Rob Collins	34	11	18	29	-2	2	46	84	111	9.91%	16	742	21.85	1	6	7	15	1	1	2	3	4	1	48.33%	0	0.78
5	Tomas Kopecky	38	10	19	29	-1	32	79	49	104	9.62%	23	809	21.31	3	4	7	14	0	0	0	0	1	1	52.50%	1	0.72

Iceberg 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
1	Brian Boucher	24	14	10	0	0.913	2.63	1439	17	2	63	728	324	1	0
2	Andrey Makarov	26	13	9	4	0.887	2.71	1618	0	1	73	645	0	0	1
3	Peter Budaj	18	6	9	3	0.890	2.78	1100	0	0	51	462	103	0	0
4	Brian Boucher	10	4	5	0	0.882	3.67	539	0	0	33	279	124	1	0
5	Alexander Auld	7	2	3	1	0.888	3.41	370	0	0	21	187	80	1	1