Retro Hockey League 2.0 - Al Secord

Position	Age	Condition	Suspension	Height	Weight	Link
Left Wing - Right Wing	30	100.00	0	73	205	Link

CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV
82	81	36	75	83	80	78	76	64	74	77	76	74	83	79	0	40	73

Information
Pro Stat - Basic
Pro Stat - Advanced
Farm Stat - Basic
Farm Stat - Advanced
Stat per Team
Career Pro Stat
Career Farm Stat

Information

Birthday	Country	Rookie	Injury	Health # Loss	StarPower	Draft Year	Draft Overall Pick	Acquired By	Last Trade Date
1958-03-03	CAN	No		0	0	-	-	Trade	2024-03-01

Available for Trade	No Trade	Force Waivers	Waiver Possible	Can Play Pro	Can Play Farm	Exclude from Salary Cap	Pro Salary in Farm / 1 Way Contract	Force UFA	Emergency Recall
No	No	No	No	Yes	Yes	No	No	No	No

Contract	Contract Signature Date	Salary Year1	Salary Cap	Salary Cap Remaining
3		100,000$	100,000$	14,400$

Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6
100,000$	100,000$	-	-	-

No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6
No	No	-	-	-

Pro Stat - Basic

Games Played	Goals	Assists	Points	Plus/Minus	Penalty Minutes	Minutes Played	Average Minutes Played per Game
41	3	3	6	-2	51	370	9.04

Major Penalty Minutes	Hits	Hits Received	Shots	Own Shots Block	Own Shots Miss	Shooting Percentage	Shots Blocked
5	67	19	38	19	38	7.89%	2

Power Play Goals	Power Play Assists	Power Play Points	Power Play Shots	Power Play Minutes Played
0	0	0	1	11

Short Handed Goals	Short Handed Assists	Short Handed Points	Short Handed Shots	Short Handed Minutes Played
0	0	0	0	17

Pro Stat - Advanced

Game Winning Goals	Game Tying Goals	Face-off %	Face offs Taken	Give Aways	Take Aways	Empty Net Goals	Hat Tricks
1	0	37.93%	29	0	0	0	0

Points per 20 Minutes	Penalty Shots Goals	Penalty Shots Taken	Fights Wons	Fight Lost	Fight Ties
0.32	0	1	0	0	1

Current Goal Scoring Streak	Current Point Scoring Steak	Current Goal Scoring Slump	Current Point Scoring Slump
0	0	10	10

Number of time players was star #1 in a game	Number of time players was star #2 in a game	Number of time players was star #3 in a game
1	0	0

Farm Stat - Basic

Games Played	Goals	Assists	Points	Plus/Minus	Penalty Minutes	Minutes Played	Average Minutes Played per Game
32	20	17	37	7	60	650	20.33

Major Penalty Minutes	Hits	Hits Received	Shots	Own Shots Block	Own Shots Miss	Shooting Percentage	Shots Blocked
0	134	45	140	35	91	14.29%	7

Power Play Goals	Power Play Assists	Power Play Points	Power Play Shots	Power Play Minutes Played
5	8	13	31	110

Short Handed Goals	Short Handed Assists	Short Handed Points	Short Handed Shots	Short Handed Minutes Played
0	1	1	8	113

Farm Stat - Advanced

Game Winning Goals	Game Tying Goals	Face-off %	Face offs Taken	Give Aways	Take Aways	Empty Net Goals	Hat Tricks
3	0	65.22%	46	0	0	0	1

Points per 20 Minutes	Penalty Shots Goals	Penalty Shots Taken	Fights Wons	Fight Lost	Fight Ties
1.14	0	0	0	0	0

Current Goal Scoring Streak	Current Point Scoring Steak	Current Goal Scoring Slump	Current Point Scoring Slump
0	0	10	10

Number of time players was star #1 in a game	Number of time players was star #2 in a game	Number of time players was star #3 in a game
2	4	3

Stat per Team

Pro Stat

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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	Al Secord	Winnipeg Jets	LW/RW	3	0	2	2	2	0	0	5	1	1	2	2	0%	0	21	7.31	0	0	0	0	0	0	0	0	0	8	0	0	50.00%	4	0	0	0	0	1.83	0	0	0	0	0	0	0	0
2	Al Secord	New York Rangers	LW/RW	16	1	0	1	-3	20	0	28	9	15	8	21	6.67%	1	174	10.91	0	0	0	1	10	0	0	0	0	7	1	0	35.71%	14	0	0	0	0	0.11	0	0	0	0	0	0	0	0
3	Al Secord	Philadelphia Flyers	LW/RW	22	2	1	3	-1	31	5	34	9	22	9	15	9.09%	1	174	7.92	0	0	0	0	0	0	0	0	0	1	0	0	36.36%	11	0	0	0	0	0.34	0	1	0	0	1	0	0	0

Farm Stat

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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	Al Secord	Philadelphia Phantoms	LW/RW	32	20	17	37	7	60	0	134	45	140	35	91	14.29%	7	650	20.33	5	8	13	31	110	0	1	1	8	113	3	0	65.22%	46	0	0	0	1	1.14	0	0	0	0	0	0	0	0

Career Pro Stat

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Team Name	Year	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
Regular Season
Winnipeg Jets	1985	83	11	22	33	-3	87	5	163	52	139	34	86	7.91%	15	1118	13.47	1	2	3	29	122	0	0	0	2	162	2	0	42.86	91	0	0	1	0	0.59	0	0	1	0	0	1	0	4
Washington Capitals	1986	82	15	33	48	-2	133	15	214	57	118	37	80	12.71%	13	1222	14.91	4	17	21	26	225	1	0	1	6	203	1	1	47.73	132	0	0	0	1	0.79	0	0	0	1	2	2	1	3
Winnipeg Jets	1987	82	11	6	17	4	94	10	160	72	83	18	66	13.25%	9	1187	14.48	2	0	2	8	95	1	1	2	4	273	1	2	41.25	80	0	0	0	0	0.29	0	0	1	0	1	0	1	2
Philadelphia Flyers	1988	41	3	3	6	-2	51	5	67	19	38	19	38	7.89%	2	370	9.04	0	0	0	1	11	0	0	0	0	17	1	0	37.93	29	0	0	0	0	0.32	0	1	0	0	1	1	0	0
Total Regular Season		288	40	64	104	-3	365	35	604	200	378	108	270	10.58%	39	3899	13.54	7	19	26	64	455	2	1	3	12	656	5	3	43.98%	332	0	0	1	1	0.53	0	1	2	1	4	4	2	9
Playoff
Winnipeg Jets	1985	25	9	6	15	6	37	5	65	19	48	18	35	18.75%	3	424	16.97	1	2	3	14	110	0	0	0	0	20	3	1	40.74	27	0	0	1	0	0.71	0	0	0	0	1	2	2	2
Washington Capitals	1986	14	4	1	5	-2	18	0	37	10	14	3	13	28.57%	1	210	15.04	2	1	3	3	47	0	0	0	0	28	1	0	66.67	9	0	0	0	0	0.47	0	0	0	0	0	0	0	1
Winnipeg Jets	1987	7	2	1	3	0	8	0	9	9	14	1	6	14.29%	1	91	13.04	0	0	0	1	0	0	0	0	0	19	0	0	14.29	7	0	0	0	0	0.66	0	0	0	0	0	0	0	0
Total Playoff		46	15	8	23	4	63	5	111	38	76	22	54	19.74%	5	726	15.78	3	3	6	18	158	0	0	0	0	68	4	1	41.86%	43	0	0	1	0	0.63	0	0	0	0	1	2	2	3

Career Farm Stat

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Team Name	Year	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
Regular Season
Philadelphia Flyers	1988	32	20	17	37	7	60	0	134	45	140	35	91	14.29%	7	650	20.33	5	8	13	31	110	0	1	1	8	113	3	0	65.22	46	0	0	0	1	1.14	0	0	0	0	0	2	4	3
Total Regular Season		32	20	17	37	7	60	0	134	45	140	35	91	14.29%	7	650	20.33	5	8	13	31	110	0	1	1	8	113	3	0	65.22%	46	0	0	0	1	1.14	0	0	0	0	0	2	4	3
Playoff

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