Jazz
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Injury / Suspension
Career Team Stats

Game Center
	Blues 43-30-7, 93pts	4	Box score	2	Trident 42-29-9, 93pts

Team Stats
W2	Streak	L2
21-14-5	Home Record	20-17-3
22-16-2	Away Record	22-12-6
6-4-0	Last 10 Games	3-4-3
3.30	Goals Per Game	3.34
3.09	Goals Against Per Game	3.16
23.18%	Power Play Percentage	14.74%
83.41%	Penalty Kill Percentage	86.55%

Royals
45-30-5, 95pts

Box score

Blues
43-30-7, 93pts

Team Stats
SOL1	Streak	W2
23-15-2	Home Record	21-14-5
22-15-3	Away Record	22-16-2
5-3-2	Last 10 Games	6-4-0
3.68	Goals Per Game	3.30
3.43	Goals Against Per Game	3.09
18.44%	Power Play Percentage	23.18%
85.92%	Penalty Kill Percentage	83.41%

Team Leaders
Goals Maxym Pansegrau 40			Assists Duma Dodrescu 47

Points Duma Dodrescu 83			Plus/Minus John-Michael Mcdonough 30

Wins Sampa Paunonen 32			Save Percentage Sampa Paunonen 0.915

Team Stats
Goals For 264 3.30 GFG	Shots For 2893 36.16 Avg	Power Play Percentage 23.2% 35 GF	Offensive Zone Start 35.8%
Goals Against 247 3.09 GAA	Shots Against 2813 35.16 Avg	Penalty Kill Percentage 83.4%% 34 GA	Defensive Zone Start 40.3%

Team Info
	General Manager	Nick Gutekunst
	Coach	John Mayor
	Division	South East
	Conference	Southern Conference
	Captain
	Assistant #1	Jooel Tuomisalo
	Assistant #2
Arena Info
	Name	Hard Rock Place
	Capacity	18,000
	Attendance	16,916
	Season Tickets	7,200
Roster Info
	Pro Team	26
	Farm Team	27
	Contract Limit	53 / 55
	Prospects	8
Salary Cap
	Estimated Season Salary Cap	54,830,308$
	Available Salary Cap	4,169,692$
	Special Salary Cap Value	0$
	Players In Salary Cap	25
Finance
	Year to Date Revenue	70,341,646$
	Year To Date Expenses	52,053,601$
	Estimated Season Revenue	0$
	Estimated Season Expenses	361,948$
	Current Bank Account	70,309,874$
	Projected Bank Account	69,897,602$
Team History
	This Season	43-30-7 (93PTS)
	History	201-159-37 (0.506%)
	Playoff Appearances	2
	Playoff Record (W-L)	6 - 11 (0.353%)
	Stanley Cup	0

Show or Hide Columns

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP	Age	Contract	Salary
1	Maxym Pansegrau	39		X			100.00	45	49	82	68	99	83	61	83	82	99	91	82	84	64	87	26	50	82		0	30	2	3,000,000$
2	Kalle-Veikko Kekalainen	68	X				100.00	88	60	65	91	71	93	89	92	57	95	53	58	48	60	55	4	50	79		0	34	1	2,400,000$
3	Julien Ghantous	0	X				100.00	43	53	77	56	81	97	95	74	78	92	49	97	54	66	61	34	50	79		0	28	1	1,008,000$
4	Tod Benedict	0			X		100.00	79	49	92	61	99	69	95	79	88	86	48	77	64	58	78	67	50	79		0	22	1	900,000$
5	Vintila Dragan	19			X		100.00	47	53	67	83	89	97	82	77	98	60	79	72	41	37	67	19	50	78		0	32	2	1,600,000$
6	Andrei Flatley	51	X				100.00	51	46	59	97	89	96	64	82	75	90	57	63	66	57	97	50	50	78		0	27	1	1,232,000$
7	Stig Lunde (R)	0	X				100.00	81	74	74	76	89	87	72	77	89	53	88	69	84	68	83	68	50	76		0	18	3	1,000,000$
8	Halvor Dahl (R)	0		X			100.00	81	36	67	74	84	79	72	67	75	80	70	80	70	79	77	69	50	76		0	18	3	900,000$
9	Dominik Hajas (R)	0			X		100.00	75	65	43	94	76	91	84	54	65	70	82	82	86	78	69	72	50	76		0	20	3	900,000$
10	Romeo Rocca	22		X			100.00	84	66	78	86	71	61	67	70	52	54	94	98	40	68	35	25	50	74		0	30	1	2,017,258$
11	Hampus Ollilainen	46		X			100.00	34	59	62	77	66	98	62	92	59	58	89	95	91	67	38	36	50	74		0	29	1	903,000$
12	Ted Duca	14			X		100.00	54	55	70	76	64	86	92	64	48	51	87	95	55	88	36	58	50	73		0	25	1	1,900,000$
13	Curtis Gordic	17				X	100.00	83	55	89	88	86	89	89	95	25	62	48	81	51	98	55	69	50	80		0	22	5	4,130,000$
14	Layton Neveu	4				X	100.00	56	67	82	98	90	76	89	71	25	83	69	57	97	45	44	1	50	79		0	36	1	1,563,000$
15	Arvi-Antti Ahokari	2				X	100.00	88	52	93	73	94	78	80	73	25	79	40	66	44	41	98	20	50	77		0	31	1	1,650,000$
16	Blair Kuntz	78				X	100.00	73	68	97	93	98	78	87	57	25	65	76	51	51	84	46	1	50	77		0	36	1	1,580,000$
17	Dominic Burry	64				X	100.00	73	55	70	99	99	72	87	75	25	72	58	59	80	42	83	38	50	77		0	27	1	1,300,000$
18	Libor Hill	47				X	100.00	67	45	79	58	73	99	98	71	25	65	48	94	34	73	50	29	50	76		0	30	1	2,200,000$
Scratches
1	Duma Dodrescu	88			X		100.00	60	62	64	91	99	99	76	99	61	77	97	89	41	69	71	30	50	86		0	29	1	3,400,000$
2	Jooel Tuomisalo (A)	95			X		89.89	99	55	73	92	97	95	83	89	62	67	72	99	52	43	71	36	50	84		0	29	3	3,600,000$
3	John-Michael Mcdonough	0	X				100.00	88	55	53	87	99	83	82	74	95	69	67	99	34	70	62	61	50	81		0	23	5	3,100,000$
4	Daniel Weber	55	X				100.00	45	35	86	63	93	85	85	66	86	78	92	91	70	43	84	58	50	80	X	0	24	3	2,800,000$
5	Bill Brelih	10		X			100.00	86	43	99	66	32	98	86	86	82	85	89	47	57	58	83	32	50	76		0	28	1	1,323,000$
6	Kodi Lapalme	28				X	100.00	90	69	93	87	97	64	51	94	25	78	82	72	94	79	59	18	50	80		0	31	4	3,550,000$

	TEAM AVERAGE						99.58	70	55	76	81	85	86	80	78	59	74	72	78	62	64	66	38	50	78

Show or Hide Columns

Filter Tips

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

#	Goalie Name	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Sampa Paunonen	1	100.00	82	80	99	89	98	99	71	72	93	94	81	62	48	23	50	88	0	31	2	3,000,000$
2	Bryce Bruha	0	100.00	65	76	84	84	96	75	96	85	55	91	67	55	49	59	50	81	0	23	5	4,050,100$
Scratches

	TEAM AVERAGE		100.00	74	78	92	87	97	87	84	79	74	93	74	59	49	41	50	85

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Mayor	48	91	66	91	85	38	89	CAN	40	1	1,800,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Duma Dodrescu	Blues	RW	68	36	47	83	17	56	10	116	101	397	108	238	9.07%	32	1388	20.42	5	9	14	32	101	0	0	0	4	50	7	0	44.91%	216	75	20	1	2	1.20	1	4	1	1	0	7	6	3
2	Jooel Tuomisalo	Blues	RW	74	36	45	81	9	53	5	156	109	372	113	191	9.68%	43	1412	19.09	5	8	13	23	104	0	0	0	4	63	10	2	39.81%	103	100	25	1	1	1.15	2	6	0	0	1	4	6	7
3	Maxym Pansegrau	Blues	LW	68	40	34	74	23	37	15	56	101	271	63	134	14.76%	33	1335	19.64	9	4	13	20	100	3	0	3	7	122	5	2	44.76%	143	29	18	0	4	1.11	3	6	1	1	1	7	4	4
4	Bill Brelih	Blues	LW	74	31	27	58	7	7	5	110	76	239	75	149	12.97%	21	1313	17.76	4	7	11	12	81	0	0	0	3	119	3	0	47.71%	109	28	17	0	1	0.88	2	3	1	0	0	7	4	2
5	John-Michael Mcdonough	Blues	C	73	13	37	50	30	106	30	181	168	146	41	76	8.90%	44	1439	19.72	2	9	11	11	110	0	3	3	4	117	2	0	52.33%	1714	21	35	0	1	0.69	0	2	2	2	2	2	1	4
6	Kodi Lapalme	Blues	D	65	8	37	45	23	86	50	90	79	162	64	64	4.94%	90	1440	22.16	1	4	5	9	73	0	0	0	4	109	0	0	0%	0	46	45	0	0	0.62	1	2	4	1	5	2	1	1
7	Daniel Weber	Blues	C	74	11	23	34	-13	20	0	63	139	90	26	74	12.22%	38	1418	19.18	3	2	5	12	113	0	0	0	1	100	0	1	49.67%	1653	11	30	0	0	0.48	0	2	0	0	0	1	1	2
8	Kalle-Veikko Kekalainen	Blues	C	80	10	20	30	-8	36	0	114	53	148	39	75	6.76%	18	916	11.46	0	1	1	1	26	0	0	0	0	40	1	2	38.40%	401	27	12	1	0	0.65	1	3	0	0	0	2	1	1
9	Tod Benedict	Blues	RW	80	11	15	26	-11	7	5	90	65	106	34	70	10.38%	33	1070	13.38	1	1	2	5	35	0	0	0	0	23	2	1	37.50%	56	8	21	0	0	0.49	0	3	0	0	1	0	1	0
10	Halvor Dahl	Blues	LW	71	12	14	26	-1	28	0	107	61	112	36	63	10.71%	28	869	12.24	1	1	2	6	29	0	0	0	0	3	2	0	36.59%	41	18	19	0	0	0.60	0	0	0	0	0	1	0	4
11	Curtis Gordic	Blues	D	75	5	20	25	12	47	25	105	132	138	41	61	3.62%	97	1866	24.88	0	4	4	9	116	0	0	0	2	155	1	0	0%	0	15	62	1	0	0.27	0	0	2	1	2	0	0	0
12	Blair Kuntz	Blues	D	79	6	18	24	9	17	15	82	83	84	38	33	7.14%	67	1643	20.81	2	2	4	7	91	1	1	2	2	145	0	2	0%	0	45	41	0	0	0.29	0	0	2	0	1	0	2	2
13	Layton Neveu	Blues	D	48	1	21	22	-20	33	15	42	56	84	43	38	1.19%	61	1107	23.07	0	2	2	9	73	0	1	1	1	92	0	0	0%	0	45	39	0	0	0.40	1	1	1	0	2	0	1	1
14	Dominic Burry	Blues	D	79	3	19	22	9	53	15	95	81	74	30	42	4.05%	50	1361	17.24	1	3	4	1	68	0	0	0	1	69	0	0	0%	0	18	35	0	0	0.32	0	0	0	0	3	1	0	0
15	Vintila Dragan	Blues	RW	77	10	7	17	8	10	0	29	42	114	25	59	8.77%	17	653	8.48	0	0	0	0	6	0	0	0	0	0	3	0	42.11%	19	25	14	1	0	0.52	0	0	0	0	0	0	1	2
16	Julien Ghantous	Blues	C	80	5	12	17	6	11	5	16	73	45	22	32	11.11%	17	755	9.45	0	1	1	0	7	0	0	0	1	18	0	0	42.71%	288	3	21	0	0	0.45	0	0	0	1	0	0	0	1
17	Arvi-Antti Ahokari	Blues	D	75	5	7	12	-6	2	0	77	71	56	16	19	8.93%	77	1286	17.16	1	2	3	5	61	0	0	0	0	105	0	0	0%	0	6	31	0	0	0.19	0	0	0	0	0	0	0	0
18	Romeo Rocca	Blues	LW	19	2	6	8	-1	12	10	21	22	43	7	27	4.65%	4	203	10.72	0	0	0	0	0	0	0	0	0	2	0	1	33.33%	9	6	3	0	0	0.79	0	0	1	1	0	0	2	0
19	Libor Hill	Blues	D	56	0	7	7	3	8	0	24	70	27	16	14	0%	60	749	13.38	0	0	0	0	2	0	0	0	0	8	0	0	0%	0	0	26	0	0	0.19	0	0	0	0	0	0	0	0
20	Andre Corrigall	Jazz (BLU)	LW	25	3	4	7	-1	4	0	35	32	46	13	33	6.52%	11	378	15.15	0	0	0	0	9	0	0	0	0	16	1	1	30.67%	163	3	11	0	0	0.37	0	0	0	0	0	1	0	0
21	Andrei Flatley	Blues	C	24	2	1	3	-7	10	0	30	17	39	18	30	5.13%	4	267	11.13	0	0	0	2	6	0	0	0	0	1	0	1	38.18%	55	5	3	0	0	0.22	0	0	0	0	0	0	0	1
22	Jared Tallon	Jazz (BLU)	RW	8	1	1	2	3	0	0	6	4	8	2	9	12.50%	3	67	8.41	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	1	0	0	0.59	0	0	0	0	0	0	0	0
23	Yaroslav Anokin	Jazz (BLU)	D	8	0	1	1	-3	8	0	13	7	8	3	5	0%	16	163	20.41	0	0	0	1	3	0	0	0	0	12	0	0	0%	0	0	8	0	0	0.12	0	0	0	0	0	0	0	0
24	Lukas Weller	Jazz (BLU)	D	1	1	0	1	1	0	0	0	1	2	0	0	50.00%	0	12	12.78	0	0	0	0	0	0	0	0	0	0	1	0	0%	0	0	0	0	0	1.56	0	0	0	0	0	0	1	0
25	Kaarl Kontturi	Jazz (BLU)	C	6	0	0	0	-6	2	0	16	14	9	5	7	0%	4	123	20.62	0	0	0	0	4	0	0	0	1	9	0	0	45.99%	137	1	2	0	0	0	0	0	0	0	0	0	0	0
26	Ted Duca	Blues	RW	1	0	0	0	0	0	0	0	2	0	1	0	0%	1	9	9.33	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
27	Hampus Ollilainen	Blues	LW	1	0	0	0	0	0	0	0	0	6	2	0	0%	2	12	12.52	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0	0	0	0	0	0	0	0	0	0	0	0
28	Jeremiah Dunin	Jazz (BLU)	D	1	0	0	0	0	0	0	1	1	0	0	1	0%	0	11	11.10	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	1	0	0	0	0	0	0	0	0	0	0	0
29	Stig Lunde	Blues	C	1	0	0	0	0	0	0	0	0	0	0	1	0%	1	9	9.53	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
30	Dominik Hajas	Blues	RW	1	0	0	0	0	0	0	1	0	3	0	0	0%	0	13	13.27	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	1	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1392	252	423	675	83	653	205	1676	1660	2829	881	1545	8.91%	872	23302	16.74	35	60	95	165	1229	4	5	9	35	1390	38	13	47.59%	5110	537	540	5	9	0.58	11	32	15	8	18	35	32	35

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Sampa Paunonen	Blues	62	32	24	6	0.915	2.93	3706	2	181	2122	826	2	0.611	18	62	11	10	4	2
2	Bryce Bruha	Blues	20	11	6	1	0.911	3.26	1122	2	61	682	340	3	0.857	14	18	61	3	1	3
3	Luis Henrich	Jazz (BLU)	1	0	0	0	0.778	8.00	15	0	2	9	5	0	0	0	0	8	0	0	0
Team Total or Average			83	43	30	7	0.913	3.02	4844	4	244	2813	1171	5		32	80	80	13	5	5

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10
Andrei Flatley	Blues	C	27	2000-04-16	CAN	No	224 Lbs	6 ft7	No	No	Trade	2025-06-24	No	No	1		False	False	Pro & Farm	1,232,000$	1,232,000$	8,381$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Arvi-Antti Ahokari	Blues	D	31	1996-08-27	FIN	No	209 Lbs	6 ft4	No	No	N/A		No	No	1	2024-06-05	False	False	Pro & Farm	1,650,000$	1,650,000$	11,224$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Bill Brelih	Blues	LW	28	1999-06-28	CAN	No	219 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	1,323,000$	1,323,000$	9,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Blair Kuntz	Blues	D	36	1991-02-07	CAN	No	190 Lbs	5 ft11	No	No	Free Agent		No	No	1	2025-10-28	False	False	Pro & Farm	1,580,000$	1,580,000$	10,748$	No	-	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Bryce Bruha	Blues	G	23	2004-05-26	CAN	No	182 Lbs	5 ft11	No	No	Assign Manually		No	No	5	2025-10-26	False	False	Pro & Farm	4,050,100$	4,050,100$	27,552$	No	4,050,100$	4,050,100$	4,050,100$	4,050,100$	-	-	-	-	-	4,050,100$	4,050,100$	4,050,100$	4,050,100$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Curtis Gordic	Blues	D	22	2005-05-14	CAN	No	219 Lbs	6 ft2	No	No	Assign Manually		No	No	5	2025-10-26	False	False	Pro Only	4,130,000$	4,130,000$	28,095$	No	4,130,000$	4,130,000$	4,130,000$	4,130,000$	-	-	-	-	-	4,130,000$	4,130,000$	4,130,000$	4,130,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Daniel Weber	Blues	C	24	2003-06-07	SWE	No	181 Lbs	5 ft10	No	Yes	Trade	2024-02-28	No	No	3	2024-06-05	False	False	Pro & Farm	2,800,000$	700,000$	4,762$	No	2,800,000$	2,800,000$	-	-	-	-	-	-	-	2,800,000$	2,800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Dominic Burry	Blues	D	27	2000-08-16	CAN	No	178 Lbs	5 ft6	No	No	N/A		No	No	1	2024-06-05	False	False	Pro & Farm	1,300,000$	1,300,000$	8,844$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dominik Hajas	Blues	RW	20	2007-08-07	SVK	Yes	177 Lbs	5 ft10	No	No	Assign Manually		No	No	3	2025-10-09	False	False	Pro & Farm	900,000$	900,000$	6,122$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Duma Dodrescu	Blues	RW	29	1998-05-23	ROU	No	244 Lbs	6 ft8	No	No	Assign Manually		No	No	1	2025-02-01	False	False	Pro & Farm	3,400,000$	3,400,000$	23,129$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Halvor Dahl	Blues	LW	18	2009-03-17	NOR	Yes	173 Lbs	5 ft10	No	No	Assign Manually		No	No	3	2025-10-09	False	False	Pro & Farm	900,000$	900,000$	6,122$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Hampus Ollilainen	Blues	LW	29	1998-11-18	FIN	No	180 Lbs	5 ft7	No	No	N/A		No	No	1		False	False	Pro & Farm	903,000$	903,000$	6,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
John-Michael Mcdonough	Blues	C	23	2004-10-02	CAN	No	166 Lbs	5 ft10	No	No	Assign Manually	2025-02-08	No	No	5	2025-10-26	False	False	Pro & Farm	3,100,000$	3,100,000$	21,088$	No	3,100,000$	3,100,000$	3,100,000$	3,100,000$	-	-	-	-	-	3,100,000$	3,100,000$	3,100,000$	3,100,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Jooel Tuomisalo (Out of Payroll)	Blues	RW	29	1998-10-03	FIN	No	205 Lbs	6 ft7	No	No	N/A		No	No	3	2024-06-05	False	False	Pro & Farm	3,600,000$	0$	0$	Yes	3,600,000$	3,600,000$	-	-	-	-	-	-	-	3,600,000$	3,600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Julien Ghantous	Blues	C	28	1999-07-13	CAN	No	167 Lbs	5 ft5	No	No	Trade	2025-06-27	No	No	1		False	False	Pro & Farm	1,008,000$	1,008,000$	6,857$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kalle-Veikko Kekalainen	Blues	C	34	1993-02-03	FIN	No	177 Lbs	5 ft10	No	No	Assign Manually		No	No	1	2025-02-01	False	False	Pro & Farm	2,400,000$	2,400,000$	16,327$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kodi Lapalme	Blues	D	31	1996-12-08	CAN	No	209 Lbs	6 ft0	No	No	Trade	2025-06-24	No	No	4	2025-02-02	False	False	Pro & Farm	3,550,000$	3,550,000$	24,150$	No	3,550,000$	3,550,000$	3,550,000$	-	-	-	-	-	-	3,550,000$	3,550,000$	3,550,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Layton Neveu	Blues	D	36	1991-02-18	CAN	No	165 Lbs	5 ft7	No	No	Free Agent		No	No	1	2025-10-28	False	False	Pro & Farm	1,563,000$	1,563,000$	10,633$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Libor Hill	Blues	D	30	1997-03-24	CZE	No	189 Lbs	5 ft7	No	No	N/A		No	No	1	2024-06-05	False	False	Pro & Farm	2,200,000$	2,200,000$	14,966$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Maxym Pansegrau	Blues	LW	30	1997-10-19	CAN	No	177 Lbs	5 ft9	No	No	N/A		No	No	2	2024-06-05	False	False	Pro & Farm	3,000,000$	3,000,000$	20,408$	No	3,000,000$	-	-	-	-	-	-	-	-	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Romeo Rocca	Blues	LW	30	1997-04-03	CAN	No	207 Lbs	6 ft6	No	No	Trade	2025-06-24	No	No	1	2025-02-22	False	False	Pro & Farm	2,017,258$	2,017,258$	13,723$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sampa Paunonen	Blues	G	31	1996-06-15	FIN	No	231 Lbs	6 ft7	No	No	N/A		No	No	2		False	False	Pro & Farm	3,000,000$	3,000,000$	20,408$	No	3,000,000$	-	-	-	-	-	-	-	-	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Stig Lunde	Blues	C	18	2009-05-14	NOR	Yes	195 Lbs	6 ft6	No	No	Assign Manually		No	No	3	2025-10-09	False	False	Pro & Farm	1,000,000$	1,000,000$	6,803$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Ted Duca	Blues	RW	25	2002-05-16	CAN	No	179 Lbs	5 ft9	No	No	N/A		No	No	1		False	False	Pro & Farm	1,900,000$	1,900,000$	12,925$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tod Benedict	Blues	RW	22	2005-11-25	USA	No	179 Lbs	5 ft7	No	No	Trade	2025-10-06	No	No	1	2024-07-04	False	False	Pro & Farm	900,000$	900,000$	6,122$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Vintila Dragan	Blues	RW	32	1995-05-01	ROU	No	218 Lbs	6 ft6	No	No	Assign Manually		No	No	2	2025-02-01	False	False	Pro & Farm	1,600,000$	1,600,000$	10,884$	No	1,600,000$	-	-	-	-	-	-	-	-	1,600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	27.42	194 Lbs	6 ft0	2.08	2,115,629$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
55,006,358$	31,630,100$	24,030,100$	14,830,100$	11,280,100$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Maxym Pansegrau	Kalle-Veikko Kekalainen	Tod Benedict	35	1	2	2
2	Halvor Dahl	Julien Ghantous	Vintila Dragan	35	1	2	2
3	Romeo Rocca	Andrei Flatley	Dominik Hajas	20	1	2	2
4	Hampus Ollilainen	Stig Lunde	Ted Duca	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Curtis Gordic	35	1	2	2
2	Layton Neveu	Arvi-Antti Ahokari	35	1	2	2
3	Blair Kuntz	Dominic Burry	20	1	2	2
4		Curtis Gordic	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Maxym Pansegrau	Kalle-Veikko Kekalainen	Tod Benedict	50	1	2	2
2	Halvor Dahl	Julien Ghantous	Vintila Dragan	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Curtis Gordic	50	1	2	2
2	Layton Neveu	Arvi-Antti Ahokari	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kalle-Veikko Kekalainen	Maxym Pansegrau	50	1	2	2
2	Julien Ghantous	Halvor Dahl	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Curtis Gordic	50	1	2	2
2	Layton Neveu	Arvi-Antti Ahokari	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kalle-Veikko Kekalainen	50	1	2	2		Curtis Gordic	50	1	2	2
2	Julien Ghantous	50	1	2	2	Layton Neveu	Arvi-Antti Ahokari	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kalle-Veikko Kekalainen	Maxym Pansegrau	50	1	2	2
2	Julien Ghantous	Halvor Dahl	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Curtis Gordic	50	1	2	2
2	Layton Neveu	Arvi-Antti Ahokari	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Maxym Pansegrau	Kalle-Veikko Kekalainen	Tod Benedict		Curtis Gordic

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Halvor Dahl	Julien Ghantous	Vintila Dragan	Layton Neveu	Arvi-Antti Ahokari

Extra Forwards
Normal	PowerPlay	Penalty Kill
Vintila Dragan, Andrei Flatley, Dominik Hajas	Vintila Dragan, Andrei Flatley	Vintila Dragan

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Arvi-Antti Ahokari, Blair Kuntz, Dominic Burry	Arvi-Antti Ahokari	Arvi-Antti Ahokari, Blair Kuntz

Penalty Shots
Maxym Pansegrau, Tod Benedict, Kalle-Veikko Kekalainen, Julien Ghantous, Vintila Dragan

Goalie
#1 : Sampa Paunonen, #2 : Bryce Bruha

Custom OT Lines Forwards
Maxym Pansegrau, Tod Benedict, Kalle-Veikko Kekalainen, Julien Ghantous, Vintila Dragan, Andrei Flatley, Dominik Hajas, Halvor Dahl, Stig Lunde, Romeo Rocca

Custom OT Lines Defensemen
, Curtis Gordic, Layton Neveu, Arvi-Antti Ahokari, Blair Kuntz

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Bandits	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	12	19	0	0	2	1	4	0	78	17	36	25	0	76	12	4	48	6	2	33.33%	2	0	100.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	44	27	42	16	32	17
2	Blizzard	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	4	6	10	0	0	1	2	1	0	64	31	20	13	0	71	22	12	37	1	0	0.00%	6	3	50.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	40	24	45	16	33	16
3	Chaos	2	1	1	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	7	10	17	0	0	2	3	2	0	74	22	29	23	0	67	19	23	35	3	2	66.67%	4	0	100.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	41	24	44	17	34	16
4	Dockheads	4	0	2	0	0	0	1	1	6	11	-5	2	0	1	0	0	0	1	0	4	6	-2	2	0	1	0	0	0	0	1	2	5	-3	3	0.375	6	8	14	0	0	0	3	2	3	138	34	61	39	14	148	48	31	92	7	0	0.00%	13	2	84.62%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	85	50	95	36	69	33
5	Dynasty	4	2	2	0	0	0	0	0	13	15	-2	2	0	2	0	0	0	0	0	5	9	-4	2	2	0	0	0	0	0	0	8	6	2	4	0.500	13	24	37	0	0	2	5	6	0	156	37	57	62	0	132	33	41	98	8	2	25.00%	13	1	92.31%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	84	49	87	34	68	34
6	Harfang	2	0	1	0	0	1	0	0	6	12	-6	1	0	0	0	0	1	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	6	-5	1	0.250	6	9	15	0	0	1	4	1	0	80	17	38	24	1	74	20	15	41	5	1	20.00%	5	0	100.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	43	26	43	17	34	16
7	Knights	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	5	9	14	0	0	1	1	3	0	63	17	22	24	0	71	18	40	32	1	0	0.00%	10	1	90.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	41	25	46	17	31	15
8	Maulers	2	2	0	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	9	13	22	0	0	2	3	4	0	74	29	29	16	0	60	14	15	45	6	2	33.33%	5	0	100.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	41	23	43	18	35	17
9	Mighty Moose	2	1	0	0	0	1	0	0	5	5	0	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	3	0.750	5	8	13	0	0	0	4	1	0	64	15	29	20	0	75	25	8	33	6	0	0.00%	4	1	75.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	43	25	41	17	34	17
10	Militia	2	2	0	0	0	0	0	0	13	4	9	1	1	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	4	3	1	4	1.000	13	22	35	0	0	7	3	3	0	62	22	22	18	0	72	20	46	48	4	1	25.00%	9	0	100.00%	2	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	41	24	43	17	34	17
11	Muertos	4	2	1	0	0	0	0	1	16	12	4	2	1	1	0	0	0	0	0	9	7	2	2	1	0	0	0	0	0	1	7	5	2	5	0.625	16	31	47	0	0	6	6	4	0	174	61	54	53	9	141	54	24	81	5	1	20.00%	7	2	71.43%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	86	54	93	32	65	32
12	North Stars	4	1	3	0	0	0	0	0	10	13	-3	2	1	1	0	0	0	0	0	6	5	1	2	0	2	0	0	0	0	0	4	8	-4	2	0.250	10	15	25	0	0	3	5	2	0	145	47	51	47	0	112	52	19	86	4	1	25.00%	7	1	85.71%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	83	49	88	34	67	32
13	Orcas	4	1	1	0	0	1	1	0	8	10	-2	2	0	1	0	0	1	0	0	3	7	-4	2	1	0	0	0	0	1	0	5	3	2	5	0.625	8	11	19	0	0	2	3	2	2	131	45	47	31	12	117	39	38	79	11	1	9.09%	9	1	88.89%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	84	44	87	37	77	39
14	Privateers	8	3	3	0	1	1	0	0	28	32	-4	4	1	1	0	1	1	0	0	13	13	0	4	2	2	0	0	0	0	0	15	19	-4	9	0.563	28	47	75	0	0	9	10	8	1	320	105	103	111	1	301	84	70	171	13	2	15.38%	15	6	60.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	176	110	174	67	130	65
15	Razorbacks	4	3	1	0	0	0	0	0	19	13	6	2	2	0	0	0	0	0	0	10	4	6	2	1	1	0	0	0	0	0	9	9	0	6	0.750	19	32	51	0	0	4	6	9	0	151	48	71	32	0	136	46	25	97	13	7	53.85%	10	2	80.00%	1	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	87	54	86	33	66	32
16	Redbull	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	9	16	25	0	0	0	2	7	0	57	11	23	23	0	78	22	15	47	3	1	33.33%	5	1	80.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	37	20	47	18	34	16
17	Royals	8	2	5	0	0	0	1	0	23	29	-6	4	1	2	0	0	0	1	0	12	13	-1	4	1	3	0	0	0	0	0	11	16	-5	6	0.375	23	38	61	0	0	10	9	3	1	285	97	102	86	2	304	109	47	152	14	3	21.43%	21	5	76.19%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	165	99	185	68	133	66
18	Stingrays	2	1	0	0	0	0	0	1	6	5	1	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	6	12	18	0	0	0	3	3	1	79	19	24	35	7	68	17	69	36	3	1	33.33%	7	1	85.71%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	40	23	47	19	36	17
19	Stormbreakers	2	0	1	0	1	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	1	0	0	0	5	4	1	2	0.500	6	10	16	0	0	0	4	1	1	71	17	28	25	1	71	32	6	35	5	0	0.00%	3	1	66.67%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	41	25	44	17	33	17
20	Trident	8	4	3	0	0	0	1	0	26	25	1	4	1	2	0	0	0	1	0	15	17	-2	4	3	1	0	0	0	0	0	11	8	3	10	0.625	26	39	65	0	0	3	11	11	1	275	81	100	94	2	272	80	58	185	12	2	16.67%	25	2	92.00%	1	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	170	101	176	69	137	66
21	Twisters	2	1	1	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	9	14	23	0	0	2	4	3	0	78	27	28	23	0	75	34	13	38	1	1	100.00%	4	2	50.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	42	27	44	16	33	15
22	Voltage	4	2	2	0	0	0	0	0	13	9	4	2	1	1	0	0	0	0	0	7	6	1	2	1	1	0	0	0	0	0	6	3	3	4	0.500	13	21	34	0	0	5	4	4	0	125	46	52	27	0	137	45	49	84	11	3	27.27%	12	2	83.33%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	82	47	90	35	67	32
23	Voodoo	4	3	0	0	0	0	1	0	16	7	9	2	1	0	0	0	0	1	0	6	3	3	2	2	0	0	0	0	0	0	10	4	6	8	1.000	16	24	40	0	0	6	3	6	3	149	38	58	49	7	155	46	33	87	9	2	22.22%	9	0	100.00%	0	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	93	57	84	34	66	35
	Total	80	36	30	0	2	4	5	3	264	247	17	40	16	14	0	1	4	4	1	139	122	17	40	20	16	0	1	0	1	2	125	125	0	93	0.581	264	431	695	0	0	68	99	90	13	2893	883	1084	900	56	2813	891	701	1687	151	35	23.18%	205	34	83.41%	4	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	1701	1017	1784	694	1361	673
	_Since Last GM Reset	80	36	30	0	2	4	5	3	264	247	17	40	16	14	0	1	4	4	1	139	122	17	40	20	16	0	1	0	1	2	125	125	0	93	0.581	264	431	695	0	0	68	99	90	13	2893	883	1084	900	56	2813	891	701	1687	151	35	23.18%	205	34	83.41%	4	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	1701	1017	1784	694	1361	673
	_Vs Conference	56	23	23	0	1	2	5	2	178	176	2	28	9	12	0	1	2	4	0	90	90	0	28	14	11	0	0	0	1	2	88	86	2	62	0.554	178	290	468	0	0	50	65	57	11	2049	639	756	631	47	1955	636	435	1212	107	24	22.43%	141	24	82.98%	2	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	1199	718	1249	485	951	470
	_Vs Division	24	9	11	0	1	1	2	0	77	86	-9	12	3	5	0	1	1	2	0	40	43	-3	12	6	6	0	0	0	0	0	37	43	-6	25	0.521	77	124	201	0	0	22	30	22	3	880	283	305	291	5	877	273	175	508	39	7	17.95%	61	13	78.69%	1	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	513	311	535	205	402	197

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
80	93	W2	264	431	695	2893	2813	891	701	1687	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	36	30	2	4	5	3	264	247

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	16	14	1	4	4	1	139	122

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	20	16	1	0	1	2	125	125

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	4	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
151	35	23.18%	205	34	83.41%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
883	1084	900	56	68	99	90	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
903	1863	48.47%	988	2093	47.20%	617	1243	49.64%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1701	1017	1784	694	1361	673

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2025-11-02	11	Royals	4	Blues	5	W			Box score
2 - 2025-11-03	15	Blues	3	Mighty Moose	2	W			Box score
4 - 2025-11-05	29	Knights	1	Blues	2	W			Box score
6 - 2025-11-07	47	Dockheads	4	Blues	1	L			Box score
8 - 2025-11-09	59	Blues	2	North Stars	3	L			Box score
10 - 2025-11-11	71	Blues	1	Privateers	6	L			Box score
12 - 2025-11-13	80	Blues	1	Dockheads	3	L			Box score
13 - 2025-11-14	86	Blues	3	Twisters	4	L			Box score
15 - 2025-11-16	108	Blues	7	Privateers	2	W			Box score
16 - 2025-11-17	109	Blues	4	Bandits	2	W			Box score
18 - 2025-11-19	126	Bandits	1	Blues	3	W			Box score
20 - 2025-11-21	144	Blues	2	Trident	1	W			Box score
22 - 2025-11-23	155	Voltage	2	Blues	4	W			Box score
23 - 2025-11-24	162	Chaos	1	Blues	6	W			Box score
25 - 2025-11-26	170	Blues	3	Blizzard	5	L			Box score
27 - 2025-11-28	191	Privateers	2	Blues	3	W	X		Box score
29 - 2025-11-30	202	Maulers	5	Blues	6	W			Box score
31 - 2025-12-02	215	Voodoo	1	Blues	3	W			Box score
33 - 2025-12-04	226	Stormbreakers	3	Blues	1	L			Box score
34 - 2025-12-05	236	Blues	5	Royals	3	W			Box score
36 - 2025-12-07	249	Voltage	4	Blues	3	L			Box score
37 - 2025-12-08	255	Blues	4	Trident	1	W			Box score
39 - 2025-12-10	266	North Stars	2	Blues	1	L			Box score
41 - 2025-12-12	281	Blues	5	Voltage	1	W			Box score
43 - 2025-12-14	296	Privateers	3	Blues	4	W			Box score
44 - 2025-12-15	303	Trident	4	Blues	1	L			Box score
46 - 2025-12-17	310	Blues	4	Militia	3	W			Box score
48 - 2025-12-19	332	Muertos	4	Blues	3	L			Box score
50 - 2025-12-21	342	Blues	6	Voodoo	2	W			Box score
51 - 2025-12-22	351	Razorbacks	1	Blues	5	W			Box score
53 - 2025-12-24	363	Voodoo	2	Blues	3	W	X	X	Box score
55 - 2025-12-26	380	Stingrays	3	Blues	2	L	X	X	Box score
57 - 2025-12-28	389	Blues	2	Orcas	1	W			Box score
58 - 2025-12-29	398	Blizzard	3	Blues	1	L			Box score
60 - 2025-12-31	410	Dynasty	4	Blues	2	L			Box score
62 - 2026-01-02	418	Blues	5	Stormbreakers	4	W	X		Box score
64 - 2026-01-04	440	Blues	4	Privateers	2	W			Box score
65 - 2026-01-05	446	Blues	3	Royals	6	L			Box score
67 - 2026-01-07	458	Orcas	3	Blues	2	L	X		Box score
69 - 2026-01-09	477	Trident	4	Blues	2	L			Box score
71 - 2026-01-11	489	Dynasty	5	Blues	3	L			Box score
73 - 2026-01-13	500	Blues	1	Voltage	2	L			Box score
75 - 2026-01-15	513	Blues	4	Voodoo	2	W			Box score
76 - 2026-01-16	525	Orcas	4	Blues	1	L			Box score
78 - 2026-01-18	536	Blues	4	Razorbacks	6	L			Box score
80 - 2026-01-20	544	Blues	3	Knights	2	W			Box score
82 - 2026-01-22	560	Mighty Moose	3	Blues	2	L	X		Box score
83 - 2026-01-23	572	Royals	5	Blues	4	L			Box score
85 - 2026-01-25	583	Dockheads	2	Blues	3	W	X	X	Box score
86 - 2026-01-26	588	Blues	4	Muertos	1	W			Box score
88 - 2026-01-28	602	Muertos	3	Blues	6	W			Box score
90 - 2026-01-30	618	Razorbacks	3	Blues	5	W			Box score
92 - 2026-02-01	623	Blues	1	Harfang	6	L			Box score
94 - 2026-02-03	642	Blues	5	Dynasty	4	W			Box score
96 - 2026-02-05	655	Harfang	6	Blues	5	L	X		Box score
97 - 2026-02-06	661	Blues	3	Muertos	4	L	X	X	Box score
99 - 2026-02-08	674	Blues	1	Chaos	3	L			Box score
101 - 2026-02-10	690	North Stars	3	Blues	5	W			Box score
103 - 2026-02-12	700	Blues	4	Stingrays	2	W			Box score
104 - 2026-02-13	713	Privateers	4	Blues	3	L			Box score
106 - 2026-02-15	724	Blues	5	Razorbacks	3	W			Box score
107 - 2026-02-16	732	Blues	3	Maulers	2	W			Box score
111 - 2026-02-20	757	Privateers	4	Blues	3	L	X		Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
113 - 2026-02-22	768	Militia	1	Blues	9	W			Box score
114 - 2026-02-23	772	Blues	1	Dockheads	2	L	X	X	Box score
116 - 2026-02-25	785	Twisters	2	Blues	6	W			Box score
118 - 2026-02-27	802	Royals	3	Blues	1	L			Box score
120 - 2026-03-01	814	Blues	1	Royals	3	L			Box score
121 - 2026-03-02	819	Blues	3	Orcas	2	W	X	X	Box score
123 - 2026-03-04	830	Blues	3	Privateers	9	L			Box score
125 - 2026-03-06	847	Trident	6	Blues	7	W	X	X	Box score
127 - 2026-03-08	852	Blues	3	Redbull	4	L			Box score
128 - 2026-03-09	863	Blues	3	Dynasty	2	W			Box score
131 - 2026-03-12	877	Blues	1	Trident	4	L			Box score
132 - 2026-03-13	889	Trident	3	Blues	5	W			Box score
134 - 2026-03-15	898	Blues	2	North Stars	5	L			Box score
137 - 2026-03-18	915	Redbull	3	Blues	6	W			Box score
139 - 2026-03-20	926	Blues	2	Royals	4	L			Box score
142 - 2026-03-23	945	Blues	4	Trident	2	W			Box score
144 - 2026-03-25	953	Royals	1	Blues	2	W	X	X	Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	110	65	40	30	200
Attendance	224,712	188,087	75,156	150,477	38,202
Attendance PCT	93.63%	94.04%	93.95%	94.05%	95.51%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	16916 - 93.98%	1,758,541$	70,341,646$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
52,053,601$	51,406,358$	49,306,358$	1,800,000$0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
49,306,358$	49,967,871$	0$	25	1

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	361,948$	361,948$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
412,272$	70,309,874$	69,897,602$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
54,830,308$	4,169,692$	59,000,000$	28,830,308$

Depth Chart

Left Wing

Center

Right Wing

Maxym Pansegrau	AGE:30	PO:26	OV:82
Andre Corrigall (R)	AGE:20	PO:81	OV:76
Halvor Dahl (R)	AGE:18	PO:69	OV:76
Bill Brelih	AGE:28	PO:32	OV:76
Hampus Ollilainen	AGE:29	PO:36	OV:74
Romeo Rocca	AGE:30	PO:25	OV:74
Dexter Lovatsis (R)	AGE:21	PO:75	OV:70
Norman Dobrescu	AGE:24	PO:64	OV:65
Carter Chilson	AGE:26	PO:53	OV:64

John-Michael Mcdonough	AGE:23	PO:61	OV:81
Daniel Weber	AGE:24	PO:58	OV:80
Julien Ghantous	AGE:28	PO:34	OV:79
Kalle-Veikko Kekalainen	AGE:34	PO:4	OV:79
Andrei Flatley	AGE:27	PO:50	OV:78
Kaarl Kontturi	AGE:29	PO:38	OV:78
Stig Lunde (R)	AGE:18	PO:68	OV:76
Damon Colclough	AGE:27	PO:45	OV:75
Elias Dansereau (R)	AGE:22	PO:65	OV:71
Griffith Deer (R)	AGE:20	PO:76	OV:69
Brennan Knapp	AGE:24	PO:61	OV:67

Duma Dodrescu	AGE:29	PO:30	OV:86
Jooel Tuomisalo	AGE:29	PO:36	OV:84
Tod Benedict	AGE:22	PO:67	OV:79
Vintila Dragan	AGE:32	PO:19	OV:78
Dominik Hajas (R)	AGE:20	PO:72	OV:76
Maddison Bilcke	AGE:26	PO:40	OV:75
Jared Tallon (R)	AGE:23	PO:59	OV:74
Ted Duca	AGE:25	PO:58	OV:73
Washington Banker (R)	AGE:22	PO:63	OV:72
Adrian Tillberg (R)	AGE:21	PO:72	OV:71
Raphael Dupuis	AGE:24	PO:52	OV:70

Defense #1

Defense #2

Goalie

Curtis Gordic	AGE:22	PO:69	OV:80
Kodi Lapalme	AGE:31	PO:18	OV:80
Lukas Weller (R)	AGE:23	PO:57	OV:79
Layton Neveu	AGE:36	PO:1	OV:79
Dominic Burry	AGE:27	PO:38	OV:77
Arvi-Antti Ahokari	AGE:31	PO:20	OV:77
Blair Kuntz	AGE:36	PO:1	OV:77
Jeremiah Dunin (R)	AGE:22	PO:68	OV:76

Manuel Albertazzi	AGE:27	PO:41	OV:76
Libor Hill	AGE:30	PO:29	OV:76
Yaroslav Anokin	AGE:32	PO:15	OV:75
Sergey Izvolin	AGE:27	PO:38	OV:73
Gareth Mccrary	AGE:36	PO:1	OV:72
Val Cuming (R)	AGE:22	PO:67	OV:66
Jordyn Balding (R)	AGE:23	PO:68	OV:59
Gosta Jorgensen	AGE:25	PO:57	OV:59

Sampa Paunonen	AGE:31	PO:23	OV:88
Bryce Bruha	AGE:23	PO:59	OV:81
Luis Henrich	AGE:26	PO:44	OV:77
Giovanni Cremen (R)	AGE:21	PO:74	OV:74
Ray Miinanen	AGE:27	PO:34	OV:72
Burt Bannon (R)	AGE:21	PO:75	OV:68

Prospects

Show or Hide Columns

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick	Last Trade Date
Alois Vimr	Blues	4	95	2025-10-10
Erik Beito	Blues	5	103
Felix-Nicolas Curatolo	Blues	3	64	2025-02-08
Hynek Vasak	Blues	5	99
Karl-Erik Vestin	Blues	4	36
Nathaniel Radmacher	Blues	4	108
Noa Mustajarvi	Blues	4	72	2025-06-24
Phillipp Hegglin	Blues	5	120

Draft Picks

Year	R1	R2	R3	R4	R5
6
7
8
9
10
Conditional Draft Picks

No News Found in News Database. Please create a news.

Blues Trade History

[3/23/2026 6:43:10 PM] Manuel Albertazzi signed with Blues for $1,600,000 for 1 year(s).
[3/23/2026 6:43:10 PM] Manuel Albertazzi was added to Blues.
[2/23/2026 6:15:42 PM] New Record for Team's Most Points (25) in 1 Game for Blues!
[2/23/2026 6:15:42 PM] New Record for Team's Most Assists (16) in 1 Game for Blues!
[2/23/2026 6:15:42 PM] New Record for Team's Most Goals (9) in 1 Game for Blues!

Jooel Tuomisalo is out for 6 days because of a Right Knee Injury.
Gareth Mccrary is out for 2 days because of a Left Leg Injury.
Gosta Jorgensen is out for 1 month because of a Sprained Right Knee Injury.

Blues Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Duma Dodrescu	388	198	196	394	14	407	530	539	1880	10.53%	215	7498	19.33	28	39	67	131	0	1	1	9	33	8	42.60%	9	1.05	8	38
2	Jooel Tuomisalo	383	154	164	318	-17	248	773	530	1477	10.43%	215	6993	18.26	16	21	37	92	0	0	0	9	31	6	34.97%	7	0.91	10	32
3	Kalle-Veikko Kekalainen	392	102	193	295	-23	395	785	551	1149	8.88%	152	6885	17.56	12	32	44	58	2	2	4	11	9	10	38.59%	2	0.86	1	8
4	Maxym Pansegrau	374	130	158	288	3	131	300	455	1216	10.69%	186	7177	19.19	24	18	42	75	3	0	3	26	19	7	45.49%	7	0.80	7	18
5	Wes Pushka	305	106	148	254	-8	121	514	300	955	11.10%	130	5691	18.66	23	22	45	69	1	0	1	10	17	5	53.27%	1	0.89	4	21

Blues Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Sampa Paunonen	282	143	102	28	0.910	3.15	16391	12	1	860	9525	3787	10	2	0.657	108
2	Bryce Bruha	99	39	37	8	0.912	3.07	5449	10	0	279	3164	1595	9	3	0.778	36
3	Luis Henrich	21	10	8	2	0.915	2.88	1208	2	0	58	683	388	0	1	0.769	13
4	Ignat Omelichev	24	9	12	2	0.878	4.42	1196	4	0	88	723	421	2	0	0.833	6

Blues Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
1	80	28	30	0	6	8	7	1	275	278	-3	40	14	15	0	4	4	3	0	133	137	-4	40	14	15	0	2	4	4	1	142	141	1	91	275	450	725	1	0	54	107	101	21	2952	953	1008	970	57	2775	992	716	1743	147	25	17.01%	223	47	78.92%	2	896	1885	47.53%	894	1876	47.65%	605	1303	46.43%	1720	1037	1773	712	1372	661
2	80	38	25	0	3	6	5	3	283	249	34	40	16	12	0	1	4	4	3	126	115	11	40	22	13	0	2	2	1	0	157	134	23	101	283	473	756	0	0	86	103	86	17	3092	1027	1095	939	65	2867	928	811	1748	152	29	19.08%	236	33	86.02%	2	926	1972	46.96%	931	2126	43.79%	591	1240	47.66%	1729	1043	1761	712	1360	651
3	80	30	31	0	6	2	4	7	262	253	9	40	18	15	0	3	0	2	2	128	116	12	40	12	16	0	3	2	2	5	134	137	-3	89	262	434	696	2	0	69	94	89	15	2941	994	1009	899	77	2815	980	622	1779	145	34	23.45%	197	31	84.26%	3	830	1894	43.82%	955	2071	46.11%	534	1191	44.84%	1758	1078	1757	695	1348	657
4	80	26	43	0	2	2	3	4	236	282	-46	40	12	25	0	1	0	1	1	121	161	-40	40	14	18	0	1	2	2	3	115	121	-6	68	236	387	623	3	1	52	94	85	9	2834	894	1013	907	42	2831	932	692	1694	134	25	18.66%	207	39	81.16%	1	894	1927	46.39%	1045	2132	49.02%	595	1211	49.13%	1707	1029	1785	694	1347	653
5	80	36	30	0	2	4	5	3	264	247	17	40	16	14	0	1	4	4	1	139	122	17	40	20	16	0	1	0	1	2	125	125	0	93	264	431	695	0	0	68	99	90	13	2893	883	1084	900	56	2813	891	701	1687	151	35	23.18%	205	34	83.41%	4	903	1863	48.47%	988	2093	47.20%	617	1243	49.64%	1701	1017	1784	694	1361	673
Total Regular Season	400	158	159	0	19	22	24	18	1320	1309	11	200	76	81	0	10	12	14	7	647	651	-4	200	82	78	0	9	10	10	11	673	658	15	442	1320	2175	3495	6	1	329	497	451	75	14712	4751	5209	4615	297	14101	4723	3542	8651	729	148	20.30%	1068	184	82.77%	12	4449	9541	46.63%	4813	10298	46.74%	2942	6188	47.54%	8618	5206	8863	3509	6790	3298
Playoff
1	11	4	7	0	0	0	0	0	37	46	-9	5	2	3	0	0	0	0	0	21	20	1	6	2	4	0	0	0	0	0	16	26	-10	8	37	60	97	1	0	8	19	10	0	447	157	129	161	0	411	120	92	225	15	4	26.67%	26	7	73.08%	3	154	328	46.95%	110	285	38.60%	80	181	44.20%	233	145	248	94	177	84
2	6	2	4	0	0	0	0	0	14	16	-2	3	1	2	0	0	0	0	0	6	8	-2	3	1	2	0	0	0	0	0	8	8	0	4	14	26	40	0	0	4	4	6	0	219	69	66	79	5	197	58	24	144	10	1	10.00%	12	2	83.33%	0	63	154	40.91%	66	160	41.25%	33	76	43.42%	134	81	129	53	103	51
Total Playoff	17	6	11	0	0	0	0	0	51	62	-11	8	3	5	0	0	0	0	0	27	28	-1	9	3	6	0	0	0	0	0	24	34	-10	12	51	86	137	1	0	12	23	16	0	666	226	195	240	5	608	178	116	369	25	5	20.00%	38	9	76.32%	3	217	482	45.02%	176	445	39.55%	113	257	43.97%	368	226	378	148	280	136

Blues Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	FO%	P/20
1	Duma Dodrescu	17	11	7	18	1	15	16	23	116	9.48%	8	334	19.66	1	1	2	6	1	0	1	2	0	35.71%	1.08
2	Robert Sisma	17	3	12	15	1	4	30	30	39	7.69%	6	349	20.58	0	1	1	1	0	1	1	0	1	53.20%	0.86
3	Maxym Pansegrau	17	7	8	15	-7	9	11	20	43	16.28%	8	327	19.28	0	3	3	1	0	0	0	1	1	53.13%	0.92
4	Kalle-Veikko Kekalainen	17	6	8	14	-7	9	40	34	64	9.38%	6	317	18.67	0	1	1	3	0	0	0	0	0	31.50%	0.88
5	Mikhail Tsvetkov	11	3	8	11	-4	2	29	12	26	11.54%	12	281	25.56	1	0	1	1	1	0	1	3	0	0%	0.78

Blues Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG
1	Sampa Paunonen	17	6	8	2	0.902	3.48	965	6	56	574	248	1	0
2	Ignat Omelichev	1	0	1	0	0.889	5.00	24	0	2	18	11	0	1
3	Luis Henrich	2	0	0	0	0.800	5.14	35	0	3	15	9	0	0

	Blues
	GP: 80 \| W: 43 \| L: 30 \| OTL: 7 \| P: 93 GF: 264 \| GA: 247 \| PP%: 23.18% \| PK%: 83.41% GM : Nick Gutekunst \| Morale : 50 \| Team Overall : 79