Sabres


	Crunch 24-50-2, 50pts	3	FINAL	7	Americans 55-17-4, 114pts

Team Stats
L4		W5
13-22-2		33-3-2
11-28-0		22-14-2
2-8-0		7-2-1
4.43		5.58
6.16		3.87
29.51%		37.50%
71.64%		72.15%

Bruins
6-68-4, 16pts

FINAL

Americans
55-17-4, 114pts

Team Stats
L10		W5
3-33-3		33-3-2
3-35-1		22-14-2
0-10-0		7-2-1
4.00		5.58
7.18		3.87
26.39%		37.50%
75.56%		72.15%

Wolves
40-31-5, 85pts

2025-04-08

Americans
55-17-4, 114pts


W9		W5
29-8-2		33-3-2
11-23-3		22-14-2
9-1-0		7-2-1
5.25		5.58
4.79		5.58
29.85%		37.50%
76.61%		72.15%

Americans
55-17-4, 114pts

2025-04-10

Monsters
35-33-8, 78pts


W5		W1
33-3-2		21-11-5
22-14-2		14-22-3
7-2-1		2-6-2
5.58		5.07
3.87		5.07
37.50%		35.21%
72.15%		66.67%

Americans
55-17-4, 114pts

2025-04-12

Checkers
45-28-4, 94pts


W5		L1
33-3-2		26-9-2
22-14-2		19-19-2
7-2-1		1-7-2
5.58		4.75
3.87		4.75
37.50%		21.74%
72.15%		69.86%


	Kevin Stenlund 51			Kevin Stenlund 79

	Kevin Stenlund 130			Conor Timmins 88

	Matthew Murray 55			Matthew Murray 0.872


424 5.58 GFG	2580 33.95 Avg	37.5% 21 GF	33.2%
294 3.87 GAA	2285 30.07 Avg	72.2%% 22 GA	32.5%


		Tyler Wilson and Andrew Hallman
		Atlantic Division
		Eastern Conference




		5,000
		5,000
		5,000

		27
		18
		45 / 55
		47

Priority		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

#		#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Kevin Stenlund	0	X				100.00	61	53	93	78	82	53	98	84	68	72	72	70	78	84	78	0	50	80	0	27	1	1,102,500$
2	Simon Holmstrom (R)	0			X		100.00	57	51	98	79	82	55	90	84	40	73	72	62	78	84	78	0	50	79	0	23	1	925,000$
3	Fredrik Olofsson	0		X			100.00	63	51	98	78	82	43	69	83	49	73	70	66	77	83	77	0	50	78	0	28	3	883,500$
4	Trey Fix-Wolansky (R)	0			X		100.00	63	51	98	78	82	51	55	84	40	72	73	47	79	84	79	0	50	78	0	25	2	962,000$
5	Victor Olofsson	0		X			100.00	58	51	98	80	84	54	61	85	40	74	73	49	79	85	79	0	50	78	0	28	2	1,204,000$
6	Ben Meyers (R)	0	X				100.00	65	52	96	77	81	43	55	82	55	71	70	42	76	82	76	0	50	75	0	25	3	813,750$
7	Gage Goncalves (R)	0	X	X	X		100.00	46	66	82	73	76	83	97	78	65	62	67	40	72	25	40	0	50	73	0	23	1	820,000$
8	Ethen Frank	0			X		100.00	45	59	84	73	76	67	77	79	65	59	69	40	74	25	40	0	50	71	0	26	2	813,750$
9	Josiah Slavin (R)	0		X			100.00	46	64	83	71	75	79	91	76	36	57	67	40	71	25	40	0	50	71	0	25	3	813,750$
10	Roby Jarventie (R)	0		X			100.00	46	50	82	72	77	58	54	78	36	59	67	40	73	25	40	0	50	70	0	21	1	925,000$
11	Garrett Pilon (R)	0			X		100.00	45	57	84	73	76	62	72	78	65	61	67	40	73	25	40	0	50	70	0	26	2	750,000$
12	Jack Johnson	0				X	100.00	61	51	96	78	81	61	97	86	40	73	70	71	78	86	78	0	50	84	0	37	1	775,000$
13	Conor Timmins (R)	0				X	100.00	62	53	92	81	86	58	55	88	40	78	71	52	80	88	80	0	50	83	0	25	3	1,045,000$
14	Jaycob Megna	24				X	100.00	62	52	94	77	80	67	55	87	40	72	69	62	78	87	78	0	50	83	0	31	3	793,000$
15	Dakota Mermis	0				X	100.00	61	52	95	77	81	53	56	86	40	72	70	58	78	86	78	0	50	81	0	30	1	775,000$
16	Josh Mahura	0				X	100.00	63	53	93	79	83	48	55	85	40	75	70	48	78	85	78	0	50	80	0	26	2	878,750$
17	Jacob Moverare (R)	0				X	100.00	61	51	97	76	82	44	55	86	40	70	70	54	78	86	78	0	50	79	0	25	2	793,000$
18	Noel Hoefenmayer (R)	0				X	100.00	48	63	79	72	75	76	88	76	36	58	67	47	72	25	40	0	50	74	0	25	3	813,750$

1	Otto Koivula	0	X	X	X		100.00	47	53	80	72	76	58	62	77	36	60	67	40	72	25	40	0	50	70	0	25	3	750,000$
2	Jakub Demek (R)	0	X	X	X		100.00	45	58	83	71	75	65	75	76	65	57	67	40	71	25	40	0	50	69	0	21	3	851,683$
3	Ian McKinnon (R)	0	X	X	X		100.00	49	48	78	70	75	58	49	75	65	55	66	40	71	25	40	0	50	68	0	26	2	971,250$
4	Ronan Seeley (R)	0				X	100.00	45	65	84	71	75	82	95	76	36	58	66	40	71	25	40	0	50	72	0	21	1	810,000$
5	Eemil Viro (R)	0				X	100.00	45	54	84	71	75	58	65	76	36	56	66	42	71	25	40	0	50	70	0	22	1	828,333$
6	Luke Krys (R)	0				X	100.00	47	36	81	71	76	58	45	76	36	56	66	40	71	25	40	0	50	70	0	23	3	925,000$

							100.00	54	54	89	75	79	60	70	81	46	66	69	49	75	55	59	0	50	75

Priority		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

#		#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Matthew Murray	0	100.00	72	60	71	74	72	70	74	67	69	74	70	25	55	0	50	81	0	26	2	813,750$
2	Nolan Maier	0	100.00	64	55	53	63	55	53	61	64	58	78	59	25	55	0	50	68	0	23	1	750,000$

1	Mitchell Weeks	0	100.00	58	55	53	59	58	53	59	54	55	73	56	25	55	0	50	64	0	23	3	772,500$

			100.00	65	57	59	65	62	59	65	62	61	75	62	25	55	0	50	71

	PH	DF	OF	PD	EX	LD	PO	CNT

Priority		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

#		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	Kevin Stenlund	Americans (BUF)	C	76	51	79	130	59	28	10	153	182	285	104	171	17.89%	71	1630	21.45	3	3	6	7	41	2	2	4	8	51	9	1	60.99%	1369	112	59	0	0	1.59	0	1	0	1	1	10	5	9
2	Conor Timmins	Americans (BUF)	D	75	50	60	110	88	28	10	120	88	197	81	83	25.38%	75	1622	21.64	1	2	3	8	39	0	2	2	0	63	7	7	0%	0	92	65	1	2	1.36	0	0	0	0	2	11	4	7
3	Trey Fix-Wolansky	Americans (BUF)	RW	76	40	54	94	39	4	0	104	41	213	72	146	18.78%	22	1395	18.36	3	4	7	8	42	1	2	3	6	63	5	1	46.00%	50	159	19	0	2	1.35	0	0	0	0	0	8	2	7
4	Simon Holmstrom	Americans (BUF)	RW	76	39	53	92	44	0	0	65	83	187	60	124	20.86%	45	1236	16.26	3	5	8	16	44	2	3	5	4	61	6	1	30.30%	66	90	30	0	1	1.49	1	1	0	0	0	7	3	2
5	Victor Olofsson	Americans (BUF)	LW	76	29	56	85	44	4	0	79	46	184	67	139	15.76%	15	1235	16.26	3	7	10	11	44	2	2	4	4	64	5	1	46.09%	128	121	12	1	0	1.38	0	0	0	0	0	2	5	4
6	Fredrik Olofsson	Americans (BUF)	LW	76	30	53	83	38	12	0	101	126	189	76	144	15.87%	52	1316	17.32	2	3	5	15	45	0	0	0	0	0	4	1	55.74%	61	90	50	0	1	1.26	0	0	0	0	0	4	5	5
7	Jack Johnson	Americans (BUF)	D	69	36	44	80	21	6	0	109	175	204	68	70	17.65%	125	1514	21.95	2	0	2	5	28	1	1	2	1	30	2	1	100.00%	1	57	98	0	1	1.06	0	0	0	0	0	3	5	3
8	Ben Meyers	Americans (BUF)	C	76	22	55	77	38	4	0	135	39	132	38	94	16.67%	5	1371	18.04	2	7	9	6	45	0	0	0	0	0	1	1	53.43%	992	65	9	0	0	1.12	0	0	0	0	0	3	4	5
9	Dakota Mermis	Americans (BUF)	D	76	26	48	74	77	4	0	77	126	121	59	66	21.49%	107	1482	19.51	0	2	2	3	42	0	1	1	0	69	5	1	50.00%	2	60	70	0	0	1.00	0	0	0	0	0	0	6	5
10	Gage Goncalves	Americans (BUF)	C/LW/RW	76	11	49	60	26	148	120	79	52	144	49	98	7.64%	13	1259	16.58	0	0	0	0	3	0	0	0	0	1	1	0	52.65%	716	63	20	0	0	0.95	0	0	4	4	16	1	3	1
11	Jaycob Megna	Americans (BUF)	D	74	18	39	57	31	20	0	129	140	113	76	76	15.93%	127	1815	24.54	1	2	3	2	48	0	1	1	0	50	1	1	0%	0	49	88	0	0	0.63	0	0	0	0	0	0	4	1
12	Ethen Frank	Americans (BUF)	RW	76	25	30	55	28	14	0	58	39	171	48	108	14.62%	13	1204	15.85	0	0	0	0	0	0	0	0	0	0	5	0	55.22%	67	71	11	0	1	0.91	0	0	0	0	0	1	1	2
13	Josh Mahura	Americans (BUF)	D	76	19	29	48	28	2	0	105	72	115	40	56	16.52%	55	1279	16.84	1	0	1	2	19	1	1	2	1	27	2	1	0%	0	66	34	0	0	0.75	0	0	0	0	0	2	1	3
14	Garrett Pilon	Americans (BUF)	RW	76	7	20	27	21	14	10	42	23	91	25	45	7.69%	5	772	10.16	0	0	0	0	0	0	0	0	0	0	0	0	52.00%	25	36	8	0	0	0.70	0	0	1	1	0	0	0	0
15	Jacob Moverare	Americans (BUF)	D	59	7	13	20	7	0	0	63	68	74	33	39	9.46%	39	847	14.36	0	0	0	0	2	0	0	0	0	12	1	0	0%	0	40	35	0	0	0.47	0	0	0	0	0	2	0	0
16	Roby Jarventie	Americans (BUF)	LW	73	3	16	19	21	12	0	57	17	48	22	45	6.25%	11	771	10.57	0	0	0	0	0	0	0	0	0	0	0	0	39.47%	38	20	7	0	0	0.49	0	0	0	0	0	0	0	0
17	Josiah Slavin	Americans (BUF)	LW	76	6	12	18	26	17	5	96	38	75	34	47	8.00%	14	1222	16.08	0	0	0	0	0	0	0	0	0	12	0	0	37.88%	66	24	14	0	0	0.29	0	0	1	0	0	0	0	0
18	Noel Hoefenmayer	Americans (BUF)	D	69	2	4	6	6	44	20	25	32	18	8	11	11.11%	23	528	7.66	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	9	20	0	0	0.23	0	0	0	2	2	0	0	0
19	Justin Brazeau	Sabres	RW	3	1	4	5	1	0	0	8	1	15	5	8	6.67%	0	65	21.84	0	1	1	2	3	0	0	0	0	0	0	0	100.00%	1	6	0	0	0	1.53	0	0	0	0	0	0	0	0
20	Jakub Demek	Americans (BUF)	C/LW/RW	7	1	2	3	-2	0	0	5	6	4	2	5	25.00%	1	87	12.54	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	62	2	1	0	0	0.68	0	0	0	0	0	0	0	0
21	Eemil Viro	Americans (BUF)	D	2	0	1	1	1	0	0	0	1	0	0	0	0%	0	1	0.82	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	0	0	0	12.24	0	0	0	0	0	0	0	0
22	Luke Krys	Americans (BUF)	D	1	0	0	0	0	0	0	2	0	0	0	0	0%	0	15	15.72	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
23	Otto Koivula	Americans (BUF)	C/LW/RW	1	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.83	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
24	Ronan Seeley	Americans (BUF)	D	2	0	0	0	1	15	15	2	1	0	1	0	0%	1	34	17.15	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	1	1	1	0	0	0
25	Ian McKinnon	Americans (BUF)	C/LW/RW	21	0	0	0	0	0	0	1	0	0	0	0	0%	0	4	0.21	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0	0	0	0	0	0	0	0
				1368	423	721	1144	643	376	190	1615	1396	2580	968	1575	16.40%	819	22716	16.61	21	36	57	85	449	9	15	24	24	511	54	17	54.95%	3645	1232	650	2	8	1.01	1	2	7	9	22	54	48	54

Priority		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

#		GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Matthew Murray	Americans (BUF)	76	55	17	4	0.872	3.85	4572	2	3	293	2284	1306	3	1	1.000	3	76	0	2	0	0
			76	55	17	4	0.872	3.85	4572	2	3	293	2284	1306	3	1		3	76	0	2	0	0

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 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
Ben Meyers	Americans (BUF)	C	25	1998-11-15	USA	Yes	194 Lbs	5 ft11	No	No	Free Agent		No	No	3	2024-10-05	False	False	Pro & Farm	813,750$	45,670$	0$	0$	No	813,750$	813,750$	Restricted	-	-	-	-	813,750$	813,750$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Conor Timmins	Americans (BUF)	D	25	1998-09-18	CAN	Yes	202 Lbs	6 ft2	No	No	Free Agent		No	No	3	2024-10-05	False	False	Pro & Farm	1,045,000$	58,648$	0$	0$	No	1,045,000$	1,045,000$	Restricted	-	-	-	-	1,045,000$	1,045,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Dakota Mermis	Americans (BUF)	D	30	1994-01-05	USA	No	195 Lbs	6 ft0	No	No	Free Agent		No	No	1	2024-10-04	False	False	Pro & Farm	775,000$	43,495$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Eemil Viro	Americans (BUF)	D	22	2002-04-03	FIN	Yes	183 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	828,333$	46,488$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ethen Frank	Americans (BUF)	RW	26	1998-02-05	USA	No	178 Lbs	5 ft10	No	No	Free Agent		No	No	2	2024-10-05	False	False	Pro & Farm	813,750$	45,670$	0$	0$	No	813,750$	Unrestricted		-	-	-	-	813,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Fredrik Olofsson	Americans (BUF)	LW	28	1996-05-27	SWE	No	190 Lbs	6 ft2	No	No	Free Agent		No	No	3	2024-10-05	False	False	Pro & Farm	883,500$	49,584$	0$	0$	No	883,500$	883,500$	Unrestricted	-	-	-	-	883,500$	883,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Gage Goncalves	Americans (BUF)	C/LW/RW	23	2001-01-16	CAN	Yes	188 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	820,000$	46,020$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Garrett Pilon	Americans (BUF)	RW	26	1998-04-13	CAN	Yes	191 Lbs	6 ft0	No	No	N/A		No	No	2		False	False	Pro & Farm	750,000$	42,092$	0$	0$	No	750,000$	Restricted		-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ian McKinnon	Americans (BUF)	C/LW/RW	26	1998-03-05	CAN	Yes	196 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	971,250$	54,509$	0$	0$	No	971,250$	Unrestricted		-	-	-	-	971,250$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Johnson (1 Way Contract)	Americans (BUF)	D	37	1987-01-13	USA	No	227 Lbs	6 ft1	No	No	Free Agent		No	No	1	2024-10-04	False	False	Pro & Farm	775,000$	43,495$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jacob Moverare	Americans (BUF)	D	25	1998-08-31	SWE	Yes	210 Lbs	6 ft3	No	No	N/A		No	No	2		False	False	Pro & Farm	793,000$	44,505$	0$	0$	No	793,000$	Restricted		-	-	-	-	793,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jakub Demek	Americans (BUF)	C/LW/RW	21	2003-06-06	SLO	Yes	210 Lbs	6 ft4	No	No	Prospect		No	No	3	2024-07-02	False	False	Pro & Farm	851,683$	47,799$	0$	0$	No	851,683$	851,683$	Restricted	-	-	-	-	851,683$	851,683$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jaycob Megna	Americans (BUF)	D	31	1992-12-10	USA	No	220 Lbs	6 ft6	No	No	Free Agent		No	No	3	2024-08-03	False	False	Pro & Farm	793,000$	44,505$	0$	0$	No	793,000$	793,000$	Unrestricted	-	-	-	-	793,000$	793,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Josh Mahura	Americans (BUF)	D	26	1998-05-05	CAN	No	185 Lbs	6 ft0	No	No	Trade	2024-08-02	No	No	2		False	False	Pro & Farm	878,750$	49,318$	0$	0$	No	878,750$	Restricted		-	-	-	-	878,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Josiah Slavin	Americans (BUF)	LW	25	1998-12-31	USA	Yes	189 Lbs	6 ft3	No	No	Free Agent		No	No	3	2024-10-05	False	False	Pro & Farm	813,750$	45,670$	0$	0$	No	813,750$	813,750$	Restricted	-	-	-	-	813,750$	813,750$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Kevin Stenlund	Americans (BUF)	C	27	1996-09-20	SWE	No	215 Lbs	6 ft5	No	No	N/A		No	No	1		False	False	Pro & Farm	1,102,500$	61,875$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Krys	Americans (BUF)	D	23	2000-09-27	USA	Yes	195 Lbs	6 ft2	No	No	Trade	2024-09-23	No	No	3	2024-09-10	False	False	Pro & Farm	925,000$	51,913$	0$	0$	No	925,000$	925,000$	Restricted	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Matthew Murray	Americans (BUF)	G	26	1998-02-02	CAN	No	194 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	813,750$	45,670$	0$	0$	No	813,750$	Unrestricted		-	-	-	-	813,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mitchell Weeks	Americans (BUF)	G	23	2001-06-22	CAN	No	190 Lbs	6 ft3	No	No	Free Agent		No	No	3	2024-10-05	False	False	Pro & Farm	772,500$	43,355$	0$	0$	No	772,500$	772,500$	Restricted	-	-	-	-	772,500$	772,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Noel Hoefenmayer	Americans (BUF)	D	25	1999-06-01	CAN	Yes	192 Lbs	6 ft0	No	No	Free Agent		No	No	3	2024-10-05	False	False	Pro & Farm	813,750$	45,670$	0$	0$	No	813,750$	813,750$	Restricted	-	-	-	-	813,750$	813,750$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Nolan Maier	Americans (BUF)	G	23	2001-01-10	CAN	No	172 Lbs	6 ft0	No	No	N/A		No	No	1	2024-10-04	False	False	Pro & Farm	750,000$	42,092$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Otto Koivula	Americans (BUF)	C/LW/RW	25	1998-09-01	FIN	No	225 Lbs	6 ft5	No	No	N/A		No	No	3		False	False	Pro & Farm	750,000$	42,092$	0$	0$	No	750,000$	750,000$	Restricted	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Roby Jarventie	Americans (BUF)	LW	21	2002-08-08	FIN	Yes	184 Lbs	6 ft2	No	No	Trade	2024-10-05	No	No	1		False	False	Pro & Farm	925,000$	51,913$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ronan Seeley	Americans (BUF)	D	21	2002-08-02	CAN	Yes	192 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	810,000$	45,459$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Simon Holmstrom	Americans (BUF)	RW	23	2001-05-24	SWE	Yes	205 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Farm Only	925,000$	51,913$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Trey Fix-Wolansky	Americans (BUF)	RW	25	1999-05-26	CAN	Yes	191 Lbs	5 ft7	No	No	N/A		No	No	2		False	False	Pro & Farm	962,000$	53,990$	0$	0$	No	962,000$	Restricted		-	-	-	-	962,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Victor Olofsson (1 Way Contract)	Americans (BUF)	LW	28	1995-07-18	SWE	No	181 Lbs	5 ft11	No	No	Free Agent		No	Yes	2	2024-10-05	False	False	Pro & Farm	1,204,000$	67,571$	4,434$	79,000$	No	1,204,000$	Unrestricted		-	-	-	-	1,204,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link


27	25.41	196 Lbs	6 ft1	2.04	865,158$



1	Victor Olofsson	Kevin Stenlund	Simon Holmstrom	30	1	2	2
2	Fredrik Olofsson	Ben Meyers	Trey Fix-Wolansky	30	1	2	2
3	Josiah Slavin	Gage Goncalves	Ethen Frank	20	1	2	2
4	Roby Jarventie	Kevin Stenlund	Garrett Pilon	20	1	2	2



1	Noel Hoefenmayer	Jaycob Megna	30	1	2	2
2	Conor Timmins	Dakota Mermis	30	1	2	2
3	Josh Mahura	Jack Johnson	20	1	2	2
4	Conor Timmins	Jaycob Megna	20	1	2	2



1	Victor Olofsson	Kevin Stenlund	Simon Holmstrom	50	1	2	2
2	Fredrik Olofsson	Ben Meyers	Trey Fix-Wolansky	50	1	2	2



1	Josh Mahura	Jaycob Megna	50	1	2	2
2	Conor Timmins	Dakota Mermis	50	1	2	2



1	Kevin Stenlund	Simon Holmstrom	50	1	2	2
2	Victor Olofsson	Trey Fix-Wolansky	50	1	2	2



1	Josh Mahura	Jaycob Megna	50	1	2	2
2	Conor Timmins	Dakota Mermis	50	1	2	2



1	Kevin Stenlund	50	1	2	2	Josh Mahura	Jaycob Megna	50	1	2	2
2	Simon Holmstrom	50	1	2	2	Conor Timmins	Dakota Mermis	50	1	2	2



1	Kevin Stenlund	Simon Holmstrom	50	1	2	2
2	Victor Olofsson	Trey Fix-Wolansky	50	1	2	2



1	Josh Mahura	Jaycob Megna	50	1	2	2
2	Conor Timmins	Dakota Mermis	50	1	2	2



Victor Olofsson	Kevin Stenlund	Simon Holmstrom	Conor Timmins	Jaycob Megna



Victor Olofsson	Kevin Stenlund	Simon Holmstrom	Conor Timmins	Jaycob Megna



Gage Goncalves, Ethen Frank, Josiah Slavin	Gage Goncalves, Ethen Frank	Josiah Slavin



Josh Mahura, Jaycob Megna, Conor Timmins	Josh Mahura	Jaycob Megna, Conor Timmins


Kevin Stenlund, Simon Holmstrom, Victor Olofsson, Trey Fix-Wolansky, Fredrik Olofsson


#1 : Matthew Murray, #2 : Nolan Maier


Kevin Stenlund, Simon Holmstrom, Victor Olofsson, Trey Fix-Wolansky, Fredrik Olofsson, Ben Meyers, Ben Meyers, Gage Goncalves, Ethen Frank, Josiah Slavin, Garrett Pilon


Jack Johnson, Jaycob Megna, Conor Timmins, Dakota Mermis, Josh Mahura

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	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	Admirals	2	2	0	0	0	0	0	0	14	9	5	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	5	2	4	1.000	14	21	35	0	0	167	130	123	4	70	910	896	765	11	71	30	16	47	2	2	100.00%	3	2	33.33%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
2	Barracuda	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	11	20	31	0	0	167	130	123	4	55	910	896	765	11	44	16	4	42	0	0	0%	2	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
3	Bears	3	3	0	0	0	0	0	0	20	8	12	1	1	0	0	0	0	0	0	9	2	7	2	2	0	0	0	0	0	0	11	6	5	6	1.000	20	33	53	0	0	167	130	123	4	104	910	896	765	11	98	38	8	74	0	0	0%	4	1	75.00%	1	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
4	Bruins	4	4	0	0	0	0	0	0	30	14	16	2	2	0	0	0	0	0	0	17	5	12	2	2	0	0	0	0	0	0	13	9	4	8	1.000	30	48	78	0	0	167	130	123	4	131	910	896	765	11	106	40	38	97	4	2	50.00%	4	1	75.00%	1	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
5	Canucks	2	0	1	0	1	0	0	0	10	11	-1	1	0	0	0	1	0	0	0	6	5	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	10	17	27	0	0	167	130	123	4	65	910	896	765	11	58	22	18	39	2	2	100.00%	4	3	25.00%	1	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
6	Checkers	3	2	1	0	0	0	0	0	16	13	3	2	2	0	0	0	0	0	0	11	7	4	1	0	1	0	0	0	0	0	5	6	-1	4	0.667	16	29	45	0	0	167	130	123	4	112	910	896	765	11	88	23	18	67	4	1	25.00%	4	1	75.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
7	Comets	3	1	2	0	0	0	0	0	11	14	-3	2	0	2	0	0	0	0	0	6	11	-5	1	1	0	0	0	0	0	0	5	3	2	2	0.333	11	19	30	0	0	167	130	123	4	89	910	896	765	11	104	43	2	64	4	2	50.00%	1	1	0.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
8	Condors	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	1	0	1	4	1.000	10	17	27	0	1	167	130	123	4	67	910	896	765	11	51	30	41	35	1	0	0.00%	3	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
9	Crunch	2	2	0	0	0	0	0	0	14	8	6	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	5	2	4	1.000	14	25	39	0	0	167	130	123	4	69	910	896	765	11	75	26	21	40	1	0	0.00%	3	0	100.00%	2	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
10	Eagles	2	0	1	0	0	0	1	0	3	7	-4	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	3	2	5	0	0	167	130	123	4	57	910	896	765	11	60	21	5	32	1	0	0.00%	0	0	0%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
11	Firebirds	2	1	0	0	1	0	0	0	13	5	8	1	1	0	0	0	0	0	0	7	0	7	1	0	0	0	1	0	0	0	6	5	1	4	1.000	13	21	34	0	1	167	130	123	4	73	910	896	765	11	57	17	6	42	0	0	0%	3	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
12	Griffins	4	4	0	0	0	0	0	0	28	10	18	2	2	0	0	0	0	0	0	14	6	8	2	2	0	0	0	0	0	0	14	4	10	8	1.000	28	46	74	0	1	167	130	123	4	136	910	896	765	11	84	35	14	88	4	0	0.00%	2	0	100.00%	1	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
13	Gulls	2	1	1	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	10	18	28	0	0	167	130	123	4	64	910	896	765	11	64	19	4	48	1	0	0.00%	2	1	50.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
14	IceHogs	2	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	8	13	21	0	0	167	130	123	4	75	910	896	765	11	70	16	9	40	3	2	66.67%	2	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
15	Islanders	3	2	0	0	0	1	0	0	17	10	7	1	1	0	0	0	0	0	0	7	4	3	2	1	0	0	0	1	0	0	10	6	4	5	0.833	17	31	48	0	0	167	130	123	4	112	910	896	765	11	101	34	9	54	1	0	0.00%	2	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
16	Marlies	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	6	11	17	0	0	167	130	123	4	64	910	896	765	11	49	14	2	58	0	0	0%	1	1	0.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
17	Monsters	2	1	0	0	0	1	0	0	10	9	1	1	1	0	0	0	0	0	0	6	4	2	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	10	16	26	0	0	167	130	123	4	76	910	896	765	11	67	20	11	41	1	0	0.00%	3	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
18	Moose	2	0	2	0	0	0	0	0	9	13	-4	1	0	1	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	9	16	25	0	0	167	130	123	4	57	910	896	765	11	70	33	11	37	0	0	0%	3	1	66.67%	1	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
19	Penguins	3	1	1	0	0	1	0	0	11	12	-1	2	1	0	0	0	1	0	0	9	7	2	1	0	1	0	0	0	0	0	2	5	-3	3	0.500	11	19	30	0	0	167	130	123	4	108	910	896	765	11	91	31	6	79	4	1	25.00%	3	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
20	Phantoms	2	2	0	0	0	0	0	0	13	6	7	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	13	6	7	4	1.000	13	25	38	0	0	167	130	123	4	76	910	896	765	11	58	16	7	33	1	1	100.00%	1	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
21	Reign	2	1	0	0	1	0	0	0	11	9	2	1	0	0	0	1	0	0	0	6	5	1	1	1	0	0	0	0	0	0	5	4	1	4	1.000	11	20	31	0	0	167	130	123	4	64	910	896	765	11	59	20	12	38	3	0	0.00%	1	1	0.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
22	Roadrunners	2	2	0	0	0	0	0	0	14	7	7	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	3	4	4	1.000	14	22	36	0	0	167	130	123	4	66	910	896	765	11	59	26	9	40	1	0	0.00%	2	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
23	Rocket	4	2	2	0	0	0	0	0	21	15	6	2	2	0	0	0	0	0	0	16	6	10	2	0	2	0	0	0	0	0	5	9	-4	4	0.500	21	36	57	0	0	167	130	123	4	137	910	896	765	11	123	42	8	83	3	2	66.67%	4	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
24	Senators	4	4	0	0	0	0	0	0	29	20	9	2	2	0	0	0	0	0	0	13	8	5	2	2	0	0	0	0	0	0	16	12	4	8	1.000	29	51	80	0	0	167	130	123	4	155	910	896	765	11	122	41	11	91	5	3	60.00%	3	2	33.33%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
25	Silver Knights	2	0	1	0	0	1	0	0	10	12	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0	1	0	0	0	0	0	6	7	-1	1	0.250	10	16	26	0	0	167	130	123	4	63	910	896	765	11	78	21	39	36	0	0	0%	7	2	71.43%	1	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
26	Stars	2	2	0	0	0	0	0	0	16	8	8	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	9	4	5	4	1.000	16	28	44	0	0	167	130	123	4	86	910	896	765	11	58	29	18	48	2	0	0.00%	4	2	50.00%	1	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
27	Thunderbirds	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	7	11	18	0	0	167	130	123	4	43	910	896	765	11	54	20	2	42	1	0	0.00%	1	1	0.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
28	Wild	2	1	1	0	0	0	0	0	10	11	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	5	7	-2	2	0.500	10	17	27	1	0	167	130	123	4	64	910	896	765	11	65	27	2	51	1	1	100.00%	1	1	0.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
29	Wolf Pack	3	2	1	0	0	0	0	0	14	11	3	2	2	0	0	0	0	0	0	11	7	4	1	0	1	0	0	0	0	0	3	4	-1	4	0.667	14	23	37	0	0	167	130	123	4	95	910	896	765	11	87	33	13	49	2	0	0.00%	4	1	75.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
30	Wolves	2	2	0	0	0	0	0	0	13	5	8	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	6	1	5	4	1.000	13	22	35	0	0	167	130	123	4	67	910	896	765	11	63	26	2	36	3	2	66.67%	1	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
31	Wranglers	2	2	0	0	0	0	0	0	15	8	7	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	8	4	4	4	1.000	15	28	43	0	0	167	130	123	4	80	910	896	765	11	51	10	12	44	1	0	0.00%	1	0	100.00%	0	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
	Total	76	51	17	0	3	4	1	0	424	294	130	38	30	3	0	2	2	1	0	234	135	99	38	21	14	0	1	2	0	0	190	159	31	114	0.750	424	721	1145	1	3	167	130	123	4	2580	910	896	765	11	2285	819	378	1615	56	21	37.50%	79	22	72.15%	9	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
	_Since Last GM Reset	76	51	17	0	3	4	1	0	424	294	130	38	30	3	0	2	2	1	0	234	135	99	38	21	14	0	1	2	0	0	190	159	31	114	0.750	424	721	1145	1	3	167	130	123	4	2580	910	896	765	11	2285	819	378	1615	56	21	37.50%	79	22	72.15%	9	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
	_Vs Conference	44	33	8	0	0	3	0	0	253	163	90	22	19	2	0	0	1	0	0	138	76	62	22	14	6	0	0	2	0	0	115	87	28	69	0.784	253	434	687	0	1	167	130	123	4	1531	910	896	765	11	1316	462	170	954	37	14	37.84%	40	8	80.00%	5	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626
	_Vs Division	23	17	4	0	0	0	0	0	144	88	56	12	10	0	0	0	0	0	0	83	37	46	11	7	4	0	0	0	0	0	61	51	10	34	0.739	144	246	390	0	1	167	130	123	4	804	910	896	765	11	647	221	112	524	21	8	38.10%	21	5	76.19%	4	667	1206	55.31%	644	1178	54.67%	692	1244	55.63%	1828	1231	1508	569	1238	626

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
76	114	W5	424	721	1145	2580	2285	819	378	1615	1	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
76	51	17	3	4	1	0	424	294

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	30	3	2	2	1	0	234	135

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	21	14	1	2	0	0	190	159

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
56	21	37.50%	79	22	72.15%	9

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
910	896	765	11	167	130	123	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
667	1206	55.31%	644	1178	54.67%	692	1244	55.63%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1828	1231	1508	569	1238	626

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Day	Game	Visitor	Score	Home	Score	ST	OT	SO	Link
1 - 2024-10-04	1	Comets	6	Americans	2	L			BoxScore
2 - 2024-10-05	2	Americans	5	Comets	3	W			BoxScore
7 - 2024-10-10	12	Reign	5	Americans	6	W	X		BoxScore
9 - 2024-10-12	25	Checkers	4	Americans	5	W			BoxScore
13 - 2024-10-16	57	Americans	2	Penguins	5	L			BoxScore
14 - 2024-10-17	67	Americans	4	Monsters	5	L	X		BoxScore
16 - 2024-10-19	85	Americans	1	IceHogs	5	L			BoxScore
19 - 2024-10-22	95	Stars	4	Americans	7	W			BoxScore
23 - 2024-10-26	122	Griffins	4	Americans	8	W			BoxScore
25 - 2024-10-28	140	Checkers	3	Americans	6	W			BoxScore
29 - 2024-11-01	169	Islanders	4	Americans	7	W			BoxScore
30 - 2024-11-02	179	Americans	8	Griffins	0	W			BoxScore
33 - 2024-11-05	194	Senators	6	Americans	7	W			BoxScore
35 - 2024-11-07	213	Americans	3	Wolf Pack	4	L			BoxScore
37 - 2024-11-09	224	Wranglers	4	Americans	7	W			BoxScore
39 - 2024-11-11	239	Rocket	2	Americans	8	W			BoxScore
42 - 2024-11-14	257	Thunderbirds	4	Americans	5	W			BoxScore
44 - 2024-11-16	278	Americans	6	Phantoms	5	W			BoxScore
48 - 2024-11-20	305	Americans	5	Reign	4	W			BoxScore
50 - 2024-11-22	317	Americans	4	Gulls	5	L			BoxScore
51 - 2024-11-23	331	Americans	6	Barracuda	2	W			BoxScore
55 - 2024-11-27	347	Wild	4	Americans	5	W			BoxScore
57 - 2024-11-29	364	Canucks	5	Americans	6	W	X		BoxScore
58 - 2024-11-30	383	Americans	7	Islanders	2	W			BoxScore
61 - 2024-12-03	397	Eagles	1	Americans	2	W	X	X	BoxScore
63 - 2024-12-05	410	Moose	8	Americans	6	L			BoxScore
65 - 2024-12-07	426	Roadrunners	4	Americans	7	W			BoxScore
67 - 2024-12-09	443	Griffins	2	Americans	6	W			BoxScore
69 - 2024-12-11	457	Wolf Pack	3	Americans	5	W			BoxScore
72 - 2024-12-14	480	Americans	4	Bears	3	W			BoxScore
73 - 2024-12-15	490	Americans	1	Marlies	6	L			BoxScore
75 - 2024-12-17	497	Americans	1	Rocket	4	L			BoxScore
78 - 2024-12-20	521	Marlies	2	Americans	5	W			BoxScore
79 - 2024-12-21	531	Americans	7	Bruins	5	W			BoxScore
81 - 2024-12-23	552	Americans	3	Islanders	4	L	X		BoxScore
85 - 2024-12-27	558	IceHogs	4	Americans	7	W			BoxScore
87 - 2024-12-29	582	Americans	2	Thunderbirds	4	L			BoxScore
89 - 2024-12-31	595	Americans	9	Stars	4	W			BoxScore
91 - 2025-01-02	610	Americans	1	Eagles	6	L			BoxScore
93 - 2025-01-04	630	Americans	6	Silver Knights	7	L			BoxScore
95 - 2025-01-06	637	Bears	2	Americans	9	W			BoxScore
98 - 2025-01-09	654	Americans	7	Senators	5	W			BoxScore
100 - 2025-01-11	670	Firebirds	0	Americans	7	W			BoxScore
104 - 2025-01-15	705	Wolves	4	Americans	7	W			BoxScore
106 - 2025-01-17	720	Penguins	1	Americans	4	W			BoxScore
109 - 2025-01-20	742	Americans	6	Firebirds	5	W	X		BoxScore
110 - 2025-01-21	755	Americans	4	Canucks	6	L			BoxScore
112 - 2025-01-23	767	Americans	8	Wranglers	4	W			BoxScore
114 - 2025-01-25	777	Americans	1	Condors	0	W			BoxScore
117 - 2025-01-28	799	Bruins	2	Americans	7	W			BoxScore
120 - 2025-01-31	822	Admirals	4	Americans	7	W			BoxScore
122 - 2025-02-02	835	Comets	5	Americans	4	L			BoxScore
124 - 2025-02-04	846	Monsters	4	Americans	6	W			BoxScore
128 - 2025-02-08	885	Americans	7	Admirals	5	W			BoxScore
142 - 2025-02-22	895	Wolf Pack	4	Americans	6	W			BoxScore
145 - 2025-02-25	919	Gulls	1	Americans	6	W			BoxScore
147 - 2025-02-27	940	Americans	6	Wolves	1	W			BoxScore
149 - 2025-03-01	953	Rocket	4	Americans	8	W			BoxScore
151 - 2025-03-03	968	Americans	4	Rocket	5	L			BoxScore
152 - 2025-03-04	974	Barracuda	3	Americans	5	W			BoxScore
154 - 2025-03-06	989	Americans	7	Crunch	5	W			BoxScore
156 - 2025-03-08	1006	Americans	5	Checkers	6	L			BoxScore
Trade Deadline
158 - 2025-03-10	1021	Condors	3	Americans	9	W			BoxScore
160 - 2025-03-12	1036	Americans	6	Griffins	4	W			BoxScore
163 - 2025-03-15	1055	Silver Knights	5	Americans	4	L	X		BoxScore
165 - 2025-03-17	1073	Americans	6	Bruins	4	W			BoxScore
168 - 2025-03-20	1100	Americans	7	Roadrunners	3	W			BoxScore
170 - 2025-03-22	1106	Americans	5	Wild	7	L			BoxScore
171 - 2025-03-23	1119	Americans	3	Moose	5	L			BoxScore
173 - 2025-03-25	1129	Senators	2	Americans	6	W			BoxScore
175 - 2025-03-27	1143	Penguins	6	Americans	5	L	X		BoxScore
177 - 2025-03-29	1159	Americans	7	Phantoms	1	W			BoxScore
178 - 2025-03-30	1171	Americans	7	Bears	3	W			BoxScore
180 - 2025-04-01	1184	Americans	9	Senators	7	W			BoxScore
184 - 2025-04-05	1215	Crunch	3	Americans	7	W			BoxScore
185 - 2025-04-06	1226	Bruins	3	Americans	10	W			BoxScore
187 - 2025-04-08	1235	Wolves	-	Americans	-
189 - 2025-04-10	1253	Americans	-	Monsters	-
191 - 2025-04-12	1268	Americans	-	Checkers	-
192 - 2025-04-13	1280	Americans	-	Crunch	-
194 - 2025-04-15	1292	Marlies	-	Americans	-
196 - 2025-04-17	1307	Phantoms	-	Americans	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	1500
Ticket Price	50	25
Attendance	133,000	57,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
3	5000 - 100.00%	108,375$	4,118,250$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
20,182,955$	21,380,266$	21,380,266$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
109,083$	20,182,955$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
325,125$	11	109,083$	1,199,913$

Americans Players Stat Leaders (Regular Season)

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#	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

Americans Goalies Stat Leaders (Regular Season)

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#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Americans Career Team Stats

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	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

Americans Players Stat Leaders (Play-Off)

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#	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

Americans Goalies Stat Leaders (Play-Off)

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#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Americans
	GP: 76 \| W: 55 \| L: 17 \| OTL: 4 \| P: 114 GF: 424 \| GA: 294 \| PP%: 37.50% \| PK%: 72.15% Tyler Wilson and Andrew Hallman \| 50 \| 75 #1235 vs Wolves