PSL - Pro Simulation League

Admirals

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Alexandre Lavergne | Morale : 75 | Team Overall : 57

Predators
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP
1	Kieffer Bellows		X			100.00	75	40	73	64	76	87	81	63	65	61	64	60	63	67	68	11	75	63		0
2	Emilio Pettersen		X			100.00	57	37	84	59	66	78	86	58	68	60	56	55	57	65	67	11	75	59		0
3	Lias Andersson	X	X			100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	11	75	42		0
4	Matthew Robertson				X	100.00	77	42	78	67	88	84	85	64	30	66	59	68	49	65	67	70	75	65		0
5	Vincent Iorio				X	100.00	76	41	86	64	90	82	78	58	30	64	52	68	47	64	66	68	75	63		0
6	Jeremy Davies				X	100.00	59	39	74	63	68	79	87	61	30	67	56	58	49	70	72	39	75	62		0
7	Frederic Allard				X	100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	11	75	42		0
Scratches
1	Saku Maenalanen			X		100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	11	75	42		0
2	Wade Allison			X		100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	11	75	42		0
3	Tom Willander (R)				X	100.00	63	36	88	67	73	85	88	65	30	69	59	64	50	61	63	85	75	64		0
4	Dmitri Simashev (R)				X	100.00	73	42	75	66	86	83	85	63	30	65	56	62	49	61	63	88	75	63		0

	TEAM AVERAGE					100.00	58	40	65	55	64	67	68	54	40	56	51	54	48	56	57	38	75	55

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	TA	SP
1	Arvid Soderblom	100.00	87	83	80	79	86	85	87	86	85	87	86	68	77	58	75	71		0
2	Ivan Prosvetov	100.00	70	75	71	88	69	68	70	69	68	70	69	67	77	51	75	62		0
Scratches

	TEAM AVERAGE	100.00	79	79	76	84	78	77	79	78	77	79	78	68	77	55	75	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd Nelson	63	68	76	72	86	80	63	CAN	57	1	1,000,000$

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

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

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	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Arvid Soderblom		G	26	1999-08-19	No	180 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	962,500$	0$	0$	No	Link / NHL Link
Dmitri Simashev		D	20	2005-02-04	Yes	198 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Emilio Pettersen		LW	25	2000-04-03	No	170 Lbs	5 ft11	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Frederic Allard		D	27	1997-12-27	No	179 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Ivan Prosvetov		G	26	1999-03-05	No	195 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Jeremy Davies		D	28	1996-12-04	No	180 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Kieffer Bellows		LW	27	1998-06-10	No	195 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	1,200,000$	0$	0$	No	Link / NHL Link
Lias Andersson		C/LW	26	1998-10-13	No	185 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Matthew Robertson		D	24	2001-03-09	No	210 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Saku Maenalanen		RW	31	1994-05-29	No	214 Lbs	6 ft4	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link / NHL Link
Tom Willander		D	20	2005-02-09	Yes	180 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Vincent Iorio		D	22	2002-11-14	No	220 Lbs	6 ft4	No	No	No	1	ELC	Pro & Farm	814,167$	0$	0$	No	Link / NHL Link
Wade Allison		RW	27	1997-10-14	No	205 Lbs	6 ft2	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
13	25.31	193 Lbs	6 ft2	1.31	728,974$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				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				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			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		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			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
, , , ,

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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link

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

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	947,667$	947,667$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

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	78	28	38	0	3	8	1	0	475	517	-42	39	16	20	0	2	1	0	0	248	256	-8	39	12	18	0	1	7	1	0	227	261	-34	72	475	868	1343	3	0	128	159	184	6	2733	954	814	952	17	2131	688	961	1605	323	126	39.01%	352	160	54.55%	19	745	1465	50.85%	582	1193	48.78%	935	1858	50.32%	1849	1183	1597	690	1257	603
2019	82	43	22	0	5	6	4	2	277	220	57	41	24	11	0	3	3	0	0	138	104	34	41	19	11	0	2	3	4	2	139	116	23	112	277	476	753	1	4	113	77	78	11	3351	1123	1098	1093	66	2647	753	644	2063	264	51	19.32%	262	42	83.97%	3	1776	3324	53.43%	1629	2953	55.16%	690	1309	52.71%	2028	1428	1894	597	1044	524
2020	82	32	37	0	8	3	2	0	303	299	4	41	19	17	0	5	0	0	0	158	147	11	41	13	20	0	3	3	2	0	145	152	-7	87	303	546	849	4	2	123	94	76	12	3305	1085	1082	1105	41	2928	791	623	1923	269	52	19.33%	243	48	80.25%	3	1802	3282	54.91%	1627	2966	54.86%	741	1394	53.16%	2020	1416	1873	598	1058	534
2021	82	37	27	0	8	6	3	1	336	291	45	41	16	13	0	3	5	3	1	171	158	13	41	21	14	0	5	1	0	0	165	133	32	103	336	594	930	3	2	0	141	97	87	3218	0	1048	1047	1060	3378	963	538	2088	249	71	28.51%	220	63	71.36%	1	1636	3151	51.92%	1628	3294	49.42%	674	1408	47.87%	2018	1431	1927	572	1027	521
2022	82	27	46	0	4	2	3	0	366	418	-52	41	12	23	0	2	1	3	0	187	215	-28	41	15	23	0	2	1	0	0	179	203	-24	70	366	680	1046	2	0	0	141	127	91	3810	0	1282	1225	1272	4079	1133	683	2455	276	79	28.62%	294	86	70.75%	2	1616	3492	46.28%	1575	3550	44.37%	711	1547	45.96%	1856	1313	2106	577	985	472
2023	82	34	36	0	3	8	0	1	413	447	-34	41	18	18	0	1	3	0	1	199	226	-27	41	16	18	0	2	5	0	0	214	221	-7	83	413	796	1209	0	0	0	166	132	112	4378	0	1452	1469	1440	4421	1268	664	2609	248	62	25.00%	287	66	77.00%	4	1726	3758	45.93%	1662	3761	44.19%	764	1645	46.44%	1829	1295	2128	570	975	465
2024	82	40	22	0	8	11	0	1	375	344	31	41	20	13	0	4	3	0	1	185	163	22	41	20	9	0	4	8	0	0	190	181	9	108	375	723	1098	1	0	0	156	105	106	3955	0	1326	1261	1330	3952	1156	632	2606	286	63	22.03%	277	56	79.78%	7	1598	3423	46.68%	1639	3521	46.55%	663	1454	45.60%	1875	1347	2124	567	965	462
2025	82	27	43	0	6	3	2	1	367	387	-20	41	15	20	0	3	0	2	1	197	190	7	41	12	23	0	3	3	0	0	170	197	-27	74	367	697	1064	2	0	0	155	106	98	3916	0	1244	1307	1330	3757	1066	611	2584	275	45	16.36%	266	70	73.68%	2	1537	3366	45.66%	1545	3391	45.56%	678	1504	45.08%	1856	1321	2114	573	976	467
Total Regular Season	652	268	271	0	45	47	15	6	2912	2923	-11	326	140	135	0	23	16	8	4	1483	1459	24	326	128	136	0	22	31	7	2	1429	1464	-35	709	2912	5380	8292	16	8	364	1089	905	523	28666	3162	9346	9459	6556	27293	7818	5356	17933	2190	549	25.07%	2201	591	73.15%	41	12436	25261	49.23%	11887	24629	48.26%	5856	12119	48.32%	15334	10739	15766	4747	8291	4051
Playoff
2017	5	1	4	0	0	0	0	0	18	35	-17	2	0	2	0	0	0	0	0	5	19	-14	3	1	2	0	0	0	0	0	13	16	-3	2	18	35	53	0	0	8	6	3	1	166	65	45	53	3	135	44	87	88	26	7	26.92%	30	15	50.00%	2	40	109	36.70%	31	90	34.44%	36	100	36.00%	111	73	105	54	86	32
2019	24	16	8	0	0	0	0	0	99	91	8	13	9	4	0	0	0	0	0	52	50	2	11	7	4	0	0	0	0	0	47	41	6	32	99	173	272	1	2	35	30	32	2	1015	330	297	351	37	974	253	288	629	75	15	20.00%	112	25	77.68%	0	539	976	55.23%	527	999	52.75%	230	443	51.92%	609	433	576	175	309	152
2021	18	8	10	0	0	0	0	0	58	69	-11	10	5	5	0	0	0	0	0	30	32	-2	8	3	5	0	0	0	0	0	28	37	-9	16	58	110	168	0	2	0	18	20	20	782	0	257	268	238	714	198	140	451	70	17	24.29%	42	8	80.95%	1	405	818	49.51%	332	723	45.92%	158	330	47.88%	443	311	442	133	231	115
2024	9	4	5	0	0	0	0	0	32	36	-4	5	3	2	0	0	0	0	0	21	17	4	4	1	3	0	0	0	0	0	11	19	-8	8	32	61	93	0	0	0	13	13	6	391	0	144	123	121	330	111	63	287	34	8	23.53%	29	9	68.97%	0	134	374	35.83%	121	336	36.01%	57	153	37.25%	188	129	245	67	109	51
Total Playoff	56	29	27	0	0	0	0	0	207	231	-24	30	17	13	0	0	0	0	0	108	118	-10	26	12	14	0	0	0	0	0	99	113	-14	58	207	379	586	1	4	43	67	68	29	2354	395	743	795	399	2153	606	578	1455	205	47	22.93%	213	57	73.24%	3	1118	2277	49.10%	1011	2148	47.07%	481	1026	46.88%	1352	948	1369	430	738	351

Back to the Top