TEAM details - LBA | Euroleague | Eurocup | BCL

On this page, you can get all the details of a single LBA, Euroleague, Eurocup, or BCL team. Once you’ve selected a team, multiple tables and graphs will be displayed, allowing you to analyze the team in depth. The additional filters allow you to select the season, one or more leagues, and even start and end dates.

Available information:

Season-by-season recap table
NET RTG game-by-game trend graph
Team and opponent statistics for the selected season
Team and opponent statistics by starting position for the selected season
Rotation graph for the selected season
Shot maps for the selected season
Player statistics for the selected season
Lineup statistics for the selected season

At these links, you can find other stats:

MATCHES CALENDAR
MATCHES CALENDAR

LINEUPS STATS
TOTALS AND AVERAGES | BREAKDOWN WITH PERCENTILES | PLAYERS COMBINATIONS | TEAMMATES’ STATS WOWY

LEAGUE STATS
LEAGUE AVERAGES

LEAGUES AND SEASONS INCLUDED

LBA: seasons 2023-2024, 2024-2025, 2025-2026
EUROLEAGUE: seasons 2023-2024, 2024-2025, 2025-2026
EUROCUP: seasons 2023-2024, 2024-2025, 2025-2026
BCL: 2025-2026

TEAM

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SEASON — COMP	GP	PACE		NET RTG		EXP W		W		W DIFF		OFF RTG		TS%		ORB%		TOV%		FT RATIO		DEF RTG		OPP TS%		DRB%		OPP TOV%		OPP FT RATIO
SEASON — COMP	GP
2025-2026	18	75.9		-10.9		3.7		7		3.3		107.6		56.0		31.3		16.9		8.9		118.5		61.9		65.1		17.0		13.5
EuroCup	18	75.9	9/20	-10.9	17/20	3.7	17/20	7	14/20	3.3	1/20	107.6	15/20	56.0	15/20	31.3	11/20	16.9	15/20	8.9	20/20	118.5	16/20	61.9	19/20	65.1	19/20	17.0	4/20	13.5	20/20
2024-2025	18	75.9		-2.6		7.6		9		1.4		113.4		58.8		33.5		16.6		10.5		116.0		62.5		69.9		17.6		12.1
EuroCup	18	75.9	7/20	-2.6	14/20	7.6	14/20	9	12/20	1.4	5/20	113.4	6/20	58.8	6/20	33.5	3/20	16.6	12/20	10.5	12/20	116.0	20/20	62.5	20/20	69.9	9/20	17.6	4/20	12.1	17/20
2023-2024	19	75.3		0.1		9.6		10		0.4		111.9		58.9		32.8		17.2		9.5		111.8		60.2		69.3		18.1		9.4
EuroCup	19	75.3	8/20	0.1	9/20	9.6	9/20	10	10/20	0.4	10/20	111.9	9/20	58.9	7/20	32.8	7/20	17.2	15/20	9.5	13/20	111.8	13/20	60.2	17/20	69.3	10/20	18.1	4/20	9.4	7/20
2022-2023	20	75.2		0.2		10.1		12		1.9		111.5		58.9		30.4		17.3		10.1		111.3		57.9		68.0		16.3		9.5
EuroCup	20	75.2	9/20	0.2	8/20	10.1	8/20	12	6/20	1.9	3/20	111.5	8/20	58.9	7/20	30.4	10/20	17.3	19/20	10.1	14/20	111.3	12/20	57.9	12/20	68.0	17/20	16.3	8/20	9.5	9/20
2021-2022	20	72.6		-1.2		9.2		8		-1.2		110.3		58.3		31.2		17.1		10.0		111.5		56.6		70.4		13.8		8.1
EuroCup	20	72.6	11/20	-1.2	13/20	9.2	13/20	8	14/20	-1.2	15/20	110.3	11/20	58.3	9/20	31.2	11/20	17.1	19/20	10.0	5/20	111.5	13/20	56.6	11/20	70.4	10/20	13.8	17/20	8.1	3/20

TEAM SEASON LEAGUES FROM TO

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ratiopharm Ulm

2025-2026

18 GP • 7 W – 11 L • -10.9 NET RTG (72/82)

TEAM NET RATING TREND

TEAM ADVANCED BOX SCORE

TEAM	GP	MIN	PTS	OFF RTG	POSS	PACE	FGM/FGA	FG%	2PM/2PA	2P%	3PM/3PA	3P%	eFG%	FTM/FTA	FT%	FT Ratio	TS%	TOV	TOV%	AST	AST%	ORB	ORB%	DRB	DRB%	ST	ST%	BLK	BLK%	KILLS
TEAM	18	200.0	81.7	107.6	75.9	75.9	29.2/65.1	44.9%	19.9/38.6	51.7%	9.3/26.6	34.9%	52.0%	13.9/18.8	74.3%	28.8%	56.0%	14.8	16.9%	17.1	47.2%	11.7	31.3%	21.3	65.1%	7.6	9.9%	2.0	3.3%	4.4
TEAM RNK			57/82	63/82	31/82	25/82		57/82		64/82		34/82	56/82		54/82	68/82	60/82	67/82	67/82	65/82	49/82	30/82	43/82	81/82	71/82	18/82	19/82	70/82	61/82	57/82
OPPONENT	18	200.0	90.1	118.5	76.1	76.1	30.7/60.9	50.4%	21.2/35.8	59.3%	9.5/25.2	37.7%	58.2%	19.2/27.0	71.0%	44.3%	61.9%	14.8	17.0%	19.8	47.8%	11.4	34.9%	25.8	68.7%	8.1	10.7%	2.9	4.4%	4.8
OPP RNK			67/82	71/82	52/82	58/82		81/82		79/82		73/82	81/82		5/82	81/82	81/82	12/82	10/82	62/82	43/82	45/82	71/82	61/82	43/82	70/82	72/82	55/82	48/82	48/82

WINS AND LOSSES

TEAM	GP	MIN	PTS	OFF RTG	POSS	PACE	FGM/FGA	FG%	2PM/2PA	2P%	3PM/3PA	3P%	eFG%	FTM/FTA	FT%	FT Ratio	TS%	TOV	TOV%	AST	AST%	ORB	ORB%	DRB	DRB%	ST	ST%	BLK	BLK%	KILLS
TEAM WINS	7	200.0	91.3	117.5	77.7	77.7	33.0/65.1	50.7%	22.9/40.9	55.9%	10.1/24.3	41.8%	58.4%	15.1/21.1	71.6%	32.5%	61.7%	14.3	16.2%	18.0	43.9%	10.6	30.2%	26.0	68.9%	8.1	10.5%	2.0	3.3%	4.7
TEAM LOSSES	11	200.0	75.5	101.1	74.7	74.7	26.8/65.1	41.2%	18.1/37.1	48.8%	8.7/28.0	31.2%	47.9%	13.2/17.3	76.3%	26.5%	52.3%	15.2	17.4%	16.5	49.7%	12.5	31.9%	18.3	62.0%	7.2	9.6%	2.0	3.3%	4.2
OPPONENT IN TM WINS	7	200.0	83.7	107.7	77.7	77.7	27.4/61.3	44.8%	19.0/35.0	54.3%	8.4/26.3	32.1%	51.6%	20.4/29.3	69.8%	47.8%	56.3%	15.1	16.9%	18.4	47.6%	11.7	31.1%	24.4	69.8%	7.7	9.9%	3.0	4.6%	4.1
OPPONENT IN TM LOSSES	11	200.0	94.2	125.6	75.0	75.0	32.8/60.7	54.0%	22.6/36.3	62.4%	10.2/24.5	41.6%	62.4%	18.4/25.5	71.9%	42.1%	65.6%	14.6	17.0%	20.6	48.0%	11.2	38.0%	26.6	68.1%	8.4	11.2%	2.8	4.3%	5.3

TEAM POSSESSIONS BREAKDOWN

PREVIOUS POSSESSION ENDING	OFF POSS	OFF FREQ	OFF RTG		TS%		ORB%		TOV%		FT RATIO		DEF POSS	DEF FREQ	DEF RTG		OPP TS%		DRB%		OPP TOV%		OPP FT RATIO
PREVIOUS POSSESSION ENDING	OFF POSS	OFF FREQ											DEF POSS	DEF FREQ
After a made basket	753	53.4%	100.3	17	53.8	26	28.9	27	18.6	9	8.4	38	661	47.1%	113.2	19	59.6	2	61.0	6	19.1	95	14.5	13
After a defensive rebound	383	27.2%	105.1	17	55.0	17	33.3	64	17.7	18	7.5	11	464	33.1%	116.6	27	61.2	8	67.4	35	17.4	87	14.0	12
After a dead turnover	131	9.3%	98.5	31	55.6	59	24.1	19	19.4	20	5.6	20	121	8.6%	106.5	53	54.1	49	74.2	71	14.2	39	14.9	4
After a live turnover	136	9.6%	119.9	27	54.0	7	42.7	83	10.1	80	13.7	84	146	10.4%	132.7	33	63.0	50	62.7	42	9.7	19	16.0	17
Others	7	0.5%	142.9	83	71.4	81	0.0	19	0.0	85	14.3	94	11	0.8%	136.4	24	62.5	31	60.0	32	7.7	38	7.7	22

STATS BY PERIOD

PERIOD	NET RTG		POSS	PACE		OFF RTG		TS%		ORB%		TOV%		FT RATIO		DEF RTG		OPP TS%		DRB%		OPP TOV%		OPP FT RATIO
PERIOD			POSS
1Q	-2.0	45	348	77.3	73	109.5	39	58.3	51	26.9	20	17.0	26	8.1	60	111.5	61	59.5	30	67.3	34	17.2	15	13.9	2
2Q	0.3	49	351	78.0	70	109.7	42	56.8	46	31.4	40	15.7	46	8.7	42	109.4	61	55.3	53	65.5	33	17.2	18	13.7	13
3Q	-8.9	24	335	74.4	34	103.3	26	53.2	18	34.9	81	18.1	22	7.1	16	112.2	37	59.8	12	62.4	9	19.5	8	12.0	52
4Q	-37.6	2	382	84.9	99	92.9	4	50.0	10	30.2	42	18.9	9	9.8	29	130.5	7	65.4	4	62.3	16	14.6	54	18.3	4
OT	—		—	—		—		—		—		—		—		—		—		—		—

ROTATION CHART

TEAM SHOT MAP

PLAYER ADVANCED BOX SCORE

PLAYER	GP	MIN	PTS	PPP	POSS	USG%	FGM/FGA	FG%	2PM/2PA	2P%	3PM/3PA	3P%	eFG%	FTM/FTA	FT%	FT Ratio	TS%	TOV	TOV%	AST	AST%	ORB	ORB%	DRB	DRB%	ST	ST%	BLK	BLK%	TM OFF RTG (ON)	TM DEF RTG (ON)	TM NET RTG (ON)
HANDLERS
Jensen Tobias \| PG	18	29.1	11.0	0.884	12.4	19.7%	4.1/9.8	41.2%	2.1/4.9	43.2%	1.9/4.9	39.3%	51.1%	0.9/1.2	81.0%	4.0%	53.2%	2.1	17.0%	4.7	20.8%	1.2	4.4%	2.3	9.6%	1.4	2.5%	0.2	0.4%	112.3	116.8	-4.5
BALL HANDLER		88	61	38	68	30		41		22		78	54		54	8	34	70	50	77	48	96	88	71	51	91	77	78	77	49	28	34
Smith Mark \| SG	16	27.3	13.8	1.014	13.6	22.8%	4.6/9.9	46.2%	2.9/5.8	50.0%	1.7/4.1	40.9%	54.7%	2.9/3.7	79.7%	10.6%	60.8%	2.3	16.6%	3.3	17.0%	1.4	5.6%	2.7	11.9%	0.9	1.8%	0.0	0.0%	110.6	118.5	-7.9
BALL HANDLER		82	83	76	77	56		77		51		85	78		44	58	80	75	53	46	30	99	97	83	81	65	42	18	18	42	18	23
Simon Justin \| SG	10	24.9	8.3	0.883	9.4	17.3%	3.5/7.1	49.3%	3.1/5.6	55.4%	0.4/1.5	26.7%	52.1%	0.9/1.6	56.3%	6.4%	53.9%	1.7	18.1%	1.8	10.1%	0.7	3.0%	3.6	17.1%	1.5	3.2%	0.1	0.3%	105.4	119.4	-14.0
SECONDARY BALL HANDLER		70	41	38	44	16		91		79		16	62		3	22	40	53	42	15	5	76	66	97	99	95	91	62	64	15	15	9
Weidemann Nelson \| PG	11	21.9	10.3	0.911	11.3	22.5%	3.2/8.3	38.5%	1.3/3.4	37.8%	1.9/4.9	38.9%	50.0%	2.0/2.1	95.7%	8.1%	55.9%	2.1	18.5%	2.9	17.8%	0.5	2.5%	2.2	12.1%	0.5	1.3%	0.0	0.0%	107.8	120.6	-12.8
BALL HANDLER		49	55	48	57	53		23		10		76	47		95	36	53	68	40	36	34	64	56	65	83	28	18	18	18	27	12	11
WINGS
Ledlum Christopher \| F	14	25.9	15.4	0.889	17.4	29.9%	5.9/12.7	46.1%	4.9/9.1	53.9%	0.9/3.6	26.0%	49.7%	2.8/4.8	58.2%	11.1%	52.7%	2.7	15.6%	2.6	14.2%	1.4	5.6%	2.9	13.0%	0.9	1.9%	0.9	2.2%	112.3	112.9	-0.6
SCORER		87	95	26	98	98		64		57		18	36		12	66	31	99	24	92	85	87	70	79	65	81	63	96	95	48	53	47
Garavaglia Diego \| F	17	15.1	3.9	0.957	4.1	12.6%	1.3/2.9	44.0%	1.0/1.7	58.6%	0.3/1.2	23.8%	49.0%	1.0/1.2	81.0%	13.0%	55.9%	0.6	14.5%	0.4	3.8%	0.6	4.2%	0.6	5.6%	0.6	2.1%	0.4	1.8%	101.3	118.6	-17.3
SPOT-UP SHOOTER		22	17	41	12	9		50		75		13	33		63	79	47	27	32	8	11	39	51	5	6	51	71	86	93	9	19	8
Anigbata Alec \| SG	16	13.8	3.6	0.934	3.8	13.2%	0.9/2.5	37.5%	0.5/1.3	38.1%	0.4/1.2	36.8%	46.3%	1.3/1.6	76.9%	18.0%	55.9%	0.6	16.4%	0.4	3.9%	0.9	7.1%	0.6	5.4%	0.3	1.0%	0.3	1.5%	103.3	120.5	-17.2
SPOT-UP SHOOTER		18	13	35	10	12		21		10		61	20		49	96	47	30	21	6	12	68	84	4	5	9	17	79	89	13	11	8
Schoormann Len \| PG	9	18.0	6.0	0.964	6.2	16.1%	2.2/4.0	55.6%	1.9/3.0	63.0%	0.3/1.0	33.3%	59.7%	1.2/1.4	84.6%	10.7%	64.3%	1.6	25.0%	0.8	6.1%	0.8	4.7%	0.9	6.8%	1.0	2.8%	0.0	0.0%	101.3	129.3	-28.0
SCORER		38	38	43	35	35		95		85		44	83		73	63	88	81	2	27	32	57	58	12	11	84	90	12	12	9	2	2
Milicic Teo \| PG	10	10.0	1.9	0.432	4.4	20.4%	0.4/2.0	20.0%	0.3/0.8	37.5%	0.1/1.2	8.3%	22.5%	1.0/1.2	83.3%	13.6%	36.5%	1.8	40.9%	1.6	20.0%	0.2	2.2%	0.7	9.1%	0.5	2.5%	0.1	0.7%	103.1	112.6	-9.5
SCORER		4	2	1	16	66		1		8		3	1		68	82	2	89	0	68	98	8	19	7	29	40	83	42	68	12	55	20
Faye Meissa \| F	6	10.3	3.5	0.724	4.8	20.9%	1.3/4.0	33.3%	0.8/2.2	38.5%	0.5/1.8	27.3%	39.6%	0.3/1.0	33.3%	10.3%	38.9%	0.3	6.9%	0.2	2.3%	0.7	6.3%	0.7	9.3%	0.3	1.7%	0.0	0.0%	94.1	127.8	-33.7
SPOT-UP SHOOTER		5	13	7	22	69		9		11		21	7		2	58	3	10	89	1	2	47	76	5	32	19	51	12	12	2	2	0
Brown Bryce \| PG	3	14.5	8.7	1.130	7.7	21.5%	3.0/7.0	42.9%	1.3/3.3	40.0%	1.7/3.7	45.5%	54.8%	1.0/1.3	75.0%	4.3%	59.1%	0.3	4.3%	1.7	14.7%	0.0	0.0%	0.7	7.1%	0.7	2.4%	0.0	0.0%	118.0	138.8	-20.8
SCORER		20	61	87	51	73		45		13		92	62		42	13	65	10	98	70	87	1	1	5	13	57	80	12	12	78	0	5
Klepeisz Thomas \| PG	4	9.2	1.5	0.545	2.8	11.8%	0.5/2.3	22.2%	0.0/0.0	–	0.5/2.3	22.2%	33.3%	0.0/0.0	–	0.0%	33.3%	0.5	18.2%	1.3	16.1%	0.0	0.0%	0.5	7.7%	0.8	4.5%	0.0	0.0%	100.0	90.9	9.1
SCORER		3	0	1	2	6		1		–		11	3		–	1	1	18	12	55	91	1	1	2	19	66	99	12	12	8	100	83
BIG MEN
Osborne Malik \| C	18	21.0	8.6	1.026	8.4	18.7%	3.0/6.2	48.2%	1.9/3.4	57.4%	1.1/2.8	37.3%	56.7%	1.6/1.8	84.8%	9.3%	61.5%	1.4	16.6%	1.0	6.8%	1.6	8.6%	3.8	22.5%	0.4	1.0%	0.1	0.2%	105.8	117.7	-11.9
RIM RUNNER		66	59	49	61	44		25		43		73	47		88	21	56	73	34	58	55	56	43	80	88	34	25	7	7	22	28	16
Sengfelder Christian \| C	18	20.2	10.2	1.130	9.0	19.8%	4.1/7.4	55.6%	3.3/5.1	65.2%	0.8/2.3	34.1%	60.9%	1.2/1.7	70.0%	7.4%	63.1%	0.9	10.5%	0.8	5.7%	2.2	11.3%	2.3	13.1%	0.9	2.4%	0.1	0.2%	111.2	116.1	-4.9
RIM RUNNER		61	73	75	68	58		55		78		62	66		48	12	61	38	80	50	42	79	67	37	18	88	86	7	7	45	34	38
Diakite Mohamed \| PF	17	9.5	3.1	0.855	3.6	18.1%	1.2/3.0	39.2%	0.7/1.9	37.5%	0.5/1.1	42.1%	47.1%	0.3/0.4	71.4%	4.8%	49.1%	0.5	12.9%	0.3	4.3%	0.4	3.8%	1.1	14.0%	0.2	1.3%	0.3	2.0%	103.4	121.8	-18.4
POST&3		3	5	12	7	39		7		3		85	11		51	4	7	9	63	10	24	1	4	4	25	14	40	34	63	14	10	5
OTHERS
Aiyamenkhue Endurance \| C	2	1.8	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	0.0%	0.0	0.0%	0.0	0.0%	0.0	0.0%	0.0	0.0%	33.3	214.3	-181.0
		0	0	–	0	0		–		–		–	–		–	–	–	1	–	1	1	3	3	1	1	5	5	16	16	0	0	0
Kunzewitsch Lenni \| F	1	1.9	0.0	0.000	1.0	25.0%	0.0/1.0	0.0%	0.0/0.0	–	0.0/1.0	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	–	0.0	0.0%	0.0	0.0%	50.0	266.7	-216.7
MARGINAL OFFENSIVE ROLE		0	0	0	6	100		0		–		11	0		–	8	0	1	99	1	1	3	3	1	–	5	5	16	16	0	0	0

Sotto i valori sono riportati i percentili, calcolati considerando tutti i giocatori con lo stesso ruolo con almeno 50 minuti giocati Below the values, the percentiles are displayed. Percentiles are calculated considering all players with the same role and with at least 50 minutes played

LINEUP ADVANCED BOX SCORE

LINEUP	GP	MIN	PTS	OFF RTG	DEF RTG	NET RTG	POSS	PACE	FGM/FGA	FG%	2PM/2PA	2P%	3PM/3PA	3P%	eFG%	FTM/FTA	FT%	FT Ratio	TS%	TOV	TOV%	AST	AST%	ORB	ORB%	DRB	DRB%	ST	ST%	BLK	BLK%	KILLS 100p
Jensen T., Simon J., Smith M., Ledlum C., Osborne M.	5	24.3	55	122.2	147.6	-25.4	45	74.1	21/38	55.3%	14/23	60.9%	7/15	46.7%	64.5%	6/12	50.0%	8.0%	65.5%	8	16.0%	11	44.0%	5	25.0%	8	50.0%	2	4.8%	2	5.3%	6.7
			85	60	7	19	84	47		77		65		75	77		10	36	69	16	40	84	51	66	34	53	9	45	22	80	65	61
Jensen T., Smith M., Garavaglia D., Ledlum C., Sengfelder C.	7	23.5	61	132.6	138.1	-5.5	46	78.4	21/40	52.5%	17/26	65.4%	4/14	28.6%	57.5%	15/16	93.8%	11.1%	66.3%	10	18.5%	9	33.3%	8	44.4%	10	58.8%	0	0.0%	2	5.4%	4.3
			87	76	13	39	85	70		68		74		32	58		78	59	72	11	26	77	25	85	84	67	21	6	6	80	66	35
Jensen T., Anigbata A., Simon J., Ledlum C., Sengfelder C.	5	20.6	30	76.9	108.1	-31.2	39	75.8	11/34	32.4%	11/20	55.0%	0/14	0.0%	32.4%	8/11	72.7%	10.6%	38.5%	8	17.0%	3	18.8%	8	34.8%	11	55.0%	3	8.1%	1	3.1%	5.1
			58	6	57	16	80	58		8		46		3	4		37	56	4	16	34	17	5	85	63	72	14	64	47	57	49	43
Jensen T., Simon J., Smith M., Ledlum C., Sengfelder C.	6	20.5	61	156.4	110.5	45.9	39	76.1	26/43	60.5%	19/28	67.9%	7/15	46.7%	68.6%	2/2	100.0%	0.0%	70.9%	3	6.5%	14	53.8%	7	38.9%	10	62.5%	6	15.8%	1	3.0%	5.1
			87	95	53	87	80	60		89		80		75	85		89	3	84	67	87	89	76	81	73	67	29	89	85	57	49	43
Jensen T., Anigbata A., Simon J., Ledlum C., Osborne M.	2	16.2	43	159.3	100.0	59.3	27	66.5	16/27	59.3%	9/15	60.0%	7/12	58.3%	72.2%	4/6	66.7%	6.5%	74.1%	2	6.5%	8	44.4%	4	33.3%	11	68.8%	5	18.5%	1	4.3%	3.7
			77	96	70	93	62	8		86		62		90	90		27	28	89	82	87	72	53	55	57	72	47	85	92	57	58	29
Jensen T., Smith M., Garavaglia D., Ledlum C., Osborne M.	5	13.6	19	76.0	88.5	-12.5	25	73.4	5/22	22.7%	3/15	20.0%	2/7	28.6%	27.3%	7/7	100.0%	10.0%	38.0%	5	16.7%	3	37.5%	5	27.8%	10	71.4%	2	7.7%	0	0.0%	8.0
			21	6	82	31	57	43		1		1		32	2		89	51	4	38	36	17	35	66	41	67	55	45	44	21	21	69
Jensen T., Schoormann L., Smith M., Ledlum C., Sengfelder C.	2	12.5	25	119.0	109.1	9.9	21	67.4	9/20	45.0%	7/13	53.8%	2/7	28.6%	50.0%	5/8	62.5%	15.4%	52.1%	2	7.7%	4	30.8%	5	38.5%	4	44.4%	5	22.7%	0	0.0%	9.5
			43	55	56	57	43	12		39		43		32	34		21	81	26	82	84	30	20	66	72	11	5	85	97	21	21	77
Jensen T., Anigbata A., Simon J., Smith M., Sengfelder C.	2	12.4	18	81.8	130.4	-48.6	22	71.3	6/15	40.0%	5/9	55.6%	1/6	16.7%	43.3%	5/5	100.0%	8.0%	52.9%	8	32.0%	3	37.5%	3	33.3%	9	64.3%	1	4.3%	1	4.0%	9.1
			17	8	21	6	47	29		23		48		13	17		89	36	29	16	2	17	35	41	57	60	34	22	19	57	55	75
Jensen T., Weidemann N., Smith M., Ledlum C., Osborne M.	6	12.0	34	136.0	77.8	58.2	25	83.2	12/19	63.2%	8/13	61.5%	4/6	66.7%	73.7%	6/7	85.7%	8.0%	81.0%	4	16.0%	4	28.6%	0	0.0%	9	64.3%	3	11.1%	1	4.5%	12.0
			66	81	90	93	57	87		92		66		95	92		67	36	95	51	40	30	16	3	3	60	34	64	65	57	60	88
Jensen T., Anigbata A., Simon J., Smith M., Osborne M.	3	11.3	24	114.3	95.2	19.1	21	74.4	9/17	52.9%	6/10	60.0%	3/7	42.9%	61.8%	3/7	42.9%	12.0%	60.0%	5	20.0%	5	41.7%	4	44.4%	10	76.9%	2	9.5%	0	0.0%	9.5
			40	46	76	67	43	49		69		62		67	70		6	65	53	38	20	44	45	55	84	67	71	45	55	21	21	77
Jensen T., Anigbata A., Smith M., Ledlum C., Sengfelder C.	3	11.1	21	100.0	125.0	-25.0	21	75.6	7/19	36.8%	5/11	45.5%	2/8	25.0%	42.1%	5/9	55.6%	16.0%	45.7%	2	8.0%	3	27.3%	4	30.8%	6	75.0%	2	10.0%	0	0.0%	4.8
			29	25	28	20	43	58		16		23		26	15		15	83	13	82	83	17	14	55	50	31	66	45	58	21	21	39
Jensen T., Weidemann N., Smith M., Ledlum C., Sengfelder C.	8	10.3	29	120.8	131.6	-10.8	24	93.7	12/19	63.2%	8/10	80.0%	4/9	44.4%	73.7%	1/6	16.7%	11.5%	65.9%	4	15.4%	6	40.0%	2	25.0%	5	83.3%	2	10.5%	0	0.0%	8.3
			56	58	20	33	54	98		92		95		71	92		1	62	71	51	43	56	41	26	34	20	84	45	61	21	21	71
Jensen T., Smith M., Ledlum C., Osborne M., Sengfelder C.	6	10.2	21	105.0	83.3	21.7	20	78.4	8/16	50.0%	4/7	57.1%	4/9	44.4%	62.5%	1/2	50.0%	4.3%	61.8%	6	26.1%	4	44.4%	3	33.3%	8	61.5%	1	5.6%	2	13.3%	5.0
			29	31	87	70	38	70		58		53		71	72		10	13	59	28	6	30	53	41	57	53	27	22	27	80	96	41
Jensen T., Schoormann L., Smith M., Ledlum C., Osborne M.	4	10.0	34	161.9	100.0	61.9	21	84.3	14/19	73.7%	11/14	78.6%	3/5	60.0%	81.6%	3/4	75.0%	4.3%	85.0%	3	13.0%	4	26.7%	2	40.0%	5	83.3%	4	21.1%	0	0.0%	4.8
			66	97	70	94	43	90		98		94		91	97		42	13	97	67	56	30	13	26	75	20	84	76	96	21	21	39
Jensen T., Schoormann L., Smith M., Diakite M., Sengfelder C.	3	9.7	18	105.9	146.7	-40.8	17	69.9	5/14	35.7%	2/8	25.0%	3/6	50.0%	46.4%	5/6	83.3%	15.0%	52.9%	3	15.0%	4	50.0%	3	30.0%	5	55.6%	0	0.0%	0	0.0%	0.0
			17	33	8	10	21	21		13		3		80	25		62	79	29	67	45	30	68	41	47	20	15	6	6	21	21	10
Jensen T., Milicic T., Garavaglia D., Diakite M., Osborne M.	2	7.3	19	126.7	106.7	20.0	15	82.4	6/14	42.9%	4/7	57.1%	2/7	28.6%	50.0%	5/5	100.0%	11.8%	59.4%	1	5.9%	4	50.0%	2	25.0%	0	0.0%	4	26.7%	1	14.3%	0.0
			21	69	59	68	4	85		31		53		32	34		89	64	51	93	89	30	68	26	34	0	0	76	99	57	97	10
Jensen T., Schoormann L., Smith M., Garavaglia D., Osborne M.	5	7.3	8	72.7	153.8	-81.1	11	60.7	3/6	50.0%	1/3	33.3%	2/3	66.7%	66.7%	0/0	–	0.0%	66.7%	5	45.5%	2	66.7%	0	0.0%	1	50.0%	0	0.0%	0	0.0%	9.1
			0	4	4	1	0	1		58		7		95	82		–	3	73	38	0	8	93	3	3	0	9	6	6	21	21	75
Jensen T., Schoormann L., Weidemann N., Garavaglia D., Osborne M.	2	7.0	14	93.3	84.6	8.7	15	85.5	3/10	30.0%	1/5	20.0%	2/5	40.0%	40.0%	6/8	75.0%	23.5%	50.0%	3	17.6%	1	14.3%	2	28.6%	4	80.0%	1	7.7%	0	0.0%	6.7
			6	17	86	56	4	92		5		1		61	12		42	96	21	67	30	2	3	26	44	11	77	22	44	21	21	61
Jensen T., Schoormann L., Weidemann N., Ledlum C., Sengfelder C.	5	6.5	16	100.0	123.5	-23.5	16	97.9	4/11	36.4%	2/5	40.0%	2/6	33.3%	45.5%	6/8	75.0%	16.7%	57.1%	4	22.2%	2	28.6%	2	22.2%	3	42.9%	4	23.5%	0	0.0%	6.3
			10	25	30	21	13	99		15		13		44	22		42	85	43	51	14	8	16	26	28	5	4	76	98	21	21	56
Jensen T., Weidemann N., Simon J., Smith M., Osborne M.	4	6.4	4	33.3	142.9	-109.6	12	74.6	1/8	12.5%	1/3	33.3%	0/5	0.0%	12.5%	2/2	100.0%	6.7%	22.2%	6	40.0%	1	50.0%	3	42.9%	4	80.0%	0	0.0%	0	0.0%	16.7
			0	0	10	0	0	50		0		7		3	0		89	29	0	28	0	2	68	41	81	11	77	6	6	21	21	97
Brown B., Schoormann L., Weidemann N., Ledlum C., Osborne M.	3	6.4	9	69.2	75.0	-5.8	13	81.3	4/13	30.8%	3/12	25.0%	1/1	100.0%	34.6%	0/0	–	0.0%	34.6%	3	18.8%	1	25.0%	3	33.3%	6	100.0%	1	8.3%	0	0.0%	7.7
			1	3	92	38	0	81		6		3		100	6		–	3	2	67	25	2	12	41	57	31	97	22	48	21	21	68
Jensen T., Simon J., Smith M., Garavaglia D., Sengfelder C.	1	6.1	16	160.0	127.3	32.7	10	65.8	7/11	63.6%	6/9	66.7%	1/2	50.0%	68.2%	1/1	100.0%	0.0%	72.7%	0	0.0%	3	42.9%	1	25.0%	4	66.7%	1	9.1%	1	9.1%	0.0
			10	96	25	79	0	7		93		77		80	85		89	3	87	99	99	17	48	12	34	11	41	22	53	57	87	10
Jensen T., Smith M., Faye M., Osborne M., Sengfelder C.	3	6.1	14	127.3	110.0	17.3	11	72.5	5/8	62.5%	3/3	100.0%	2/5	40.0%	75.0%	2/3	66.7%	7.7%	77.8%	4	30.8%	5	83.3%	2	50.0%	2	50.0%	0	0.0%	0	0.0%	0.0
			6	70	54	66	0	37		91		99		61	93		27	34	93	51	3	44	100	26	90	2	9	6	6	21	21	10
Weidemann N., Smith M., Garavaglia D., Ledlum C., Sengfelder C.	4	6.0	15	107.1	66.7	40.4	14	93.3	4/8	50.0%	3/4	75.0%	1/4	25.0%	56.3%	6/8	75.0%	20.0%	68.2%	4	26.7%	2	28.6%	1	25.0%	4	57.1%	4	33.3%	1	10.0%	14.3
			8	35	96	84	0	98		58		90		26	54		42	93	78	51	6	8	16	12	34	11	18	76	100	57	89	95
Jensen T., Weidemann N., Garavaglia D., Ledlum C., Sengfelder C.	4	6.0	16	145.5	120.0	25.5	11	73.3	5/8	62.5%	3/5	60.0%	2/3	66.7%	75.0%	4/6	66.7%	23.1%	72.7%	2	15.4%	3	37.5%	2	66.7%	2	28.6%	2	20.0%	0	0.0%	9.1
			10	89	36	73	0	42		91		62		95	93		27	96	87	82	43	17	35	26	98	2	1	45	95	21	21	75
Jensen T., Weidemann N., Smith M., Garavaglia D., Sengfelder C.	2	5.9	12	120.0	118.2	1.8	10	68.0	4/9	44.4%	1/5	20.0%	3/4	75.0%	61.1%	1/2	50.0%	9.1%	60.0%	1	9.1%	3	60.0%	1	16.7%	3	75.0%	2	18.2%	0	0.0%	10.0
			3	57	39	48	0	14		37		1		97	68		10	44	53	93	79	17	86	12	17	5	66	45	91	21	21	79
Jensen T., Anigbata A., Ledlum C., Diakite M., Sengfelder C.	1	5.7	14	140.0	100.0	40.0	10	70.8	6/11	54.5%	4/7	57.1%	2/4	50.0%	63.6%	0/1	0.0%	0.0%	63.6%	1	8.3%	3	50.0%	2	40.0%	4	80.0%	1	10.0%	1	12.5%	0.0
			6	84	70	84	0	26		75		53		80	75		1	3	64	93	82	17	68	26	75	11	77	22	58	57	95	10
Jensen T., Simon J., Smith M., Diakite M., Sengfelder C.	4	5.4	11	122.2	90.0	32.2	9	66.2	4/11	36.4%	4/9	44.4%	0/2	0.0%	36.4%	3/3	100.0%	8.3%	45.8%	0	0.0%	1	20.0%	3	42.9%	3	100.0%	1	10.0%	0	0.0%	0.0
			2	60	81	79	0	8		15		21		3	8		89	39	13	99	99	2	6	41	81	5	97	22	58	21	21	10
Jensen T., Smith M., Garavaglia D., Osborne M., Sengfelder C.	3	5.4	13	118.2	83.3	34.9	11	81.5	5/7	71.4%	4/4	100.0%	1/3	33.3%	78.6%	2/2	100.0%	9.1%	81.3%	3	27.3%	4	66.7%	0	0.0%	4	100.0%	2	16.7%	0	0.0%	9.1
			4	53	87	81	0	82		98		99		44	95		89	44	96	67	5	30	93	3	3	11	97	45	88	21	21	75
Jensen T., Weidemann N., Smith M., Osborne M., Sengfelder C.	4	5.2	9	81.8	81.8	0.0	11	84.1	2/9	22.2%	1/5	20.0%	1/4	25.0%	27.8%	4/4	100.0%	16.7%	40.9%	1	8.3%	0	0.0%	1	16.7%	3	27.3%	1	9.1%	0	0.0%	9.1
			1	8	88	46	0	89		1		1		26	2		89	85	6	93	82	0	0	12	17	5	1	22	53	21	21	75
Brown B., Jensen T., Smith M., Ledlum C., Sengfelder C.	3	5.1	18	128.6	108.3	20.3	14	109.8	6/12	50.0%	4/9	44.4%	2/3	66.7%	58.3%	4/6	66.7%	15.8%	60.0%	4	21.1%	4	44.4%	5	71.4%	3	75.0%	3	25.0%	0	0.0%	14.3
			17	71	57	69	0	100		58		21		95	61		27	82	53	51	17	30	53	66	99	5	66	64	99	21	21	95

Sotto i valori sono riportati i percentili, calcolati tenendo conto di tutte le lineup con almeno 15 possessi Below the values, the percentiles are displayed. Percentiles are calculated considering all lineups with at least 15 possessions

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