2025 Team Defense Fantasy Football Projections/Rankings

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Note: Filters and sorting in the table below apply to the output

Team	Games	Plays	Tack	Sck	Int	Fum For	Fum	Saf	TD Ret	Ret Yds	Rush	Rush Yds	Rec	Rec Yds	TD	Points	Yards	STD PTS
DET	10	608	603	22.7	7.8	7.3	3.7	0.4	1.2	18	266	1182	229	2534	20.6	195	3716	70.6
HOU	10	595	596	22.2	7.9	6.2	3.1	0.4	1.2	16	264	1151	226	2475	20.0	191	3625	69.7
BUF	10	597	602	19.5	7.7	6.6	3.3	0.4	1.2	17	270	1240	226	2465	20.1	191	3706	67.6
DEN	9	550	554	21.3	7.7	6.1	3.1	0.4	1.2	16	245	1100	209	2262	17.8	170	3362	67.5
CIN	10	606	607	20.8	8.0	6.7	3.3	0.4	1.3	17	267	1199	233	2481	21.3	198	3681	67.4
KC	10	592	598	18.2	8.5	6.1	3.0	0.4	1.2	15	271	1208	222	2362	20.1	190	3570	67.4
SF	10	579	576	19.0	8.3	7.2	3.6	0.4	1.4	18	255	1113	220	2251	21.4	201	3365	67.0
WAS	10	592	593	20.8	7.6	7.8	3.9	0.4	1.4	19	264	1171	224	2438	22.8	212	3608	65.4
CAR	10	639	636	19.5	8.8	6.6	3.3	0.4	1.4	16	282	1255	244	2504	23.0	213	3759	65.0
PHI	9	554	559	18.4	7.2	6.5	3.2	0.4	1.2	16	254	1084	205	2166	17.7	166	3251	64.8
JAC	10	576	577	20.9	6.5	6.1	3.1	0.4	1.1	15	257	1134	216	2352	21.1	196	3486	63.2
BAL	9	522	515	17.7	7.2	5.7	2.8	0.4	1.1	14	225	975	200	2109	17.3	165	3084	63.0
NO	10	613	613	18.2	8.2	6.1	3.1	0.4	1.2	15	274	1238	232	2582	22.1	205	3820	62.3
LAR	9	539	541	16.0	7.7	6.6	3.3	0.3	1.2	16	247	1094	199	2152	18.2	171	3246	61.9
LAC	10	577	590	17.1	7.4	6.1	3.0	0.4	1.0	15	283	1224	200	2125	20.8	193	3349	61.4
SEA	9	527	523	16.8	7.0	5.1	2.6	0.3	1.1	13	230	1004	202	2078	18.6	172	3082	59.1
NYG	10	587	596	16.1	7.8	5.7	2.9	0.4	1.2	14	283	1230	207	2187	22.7	209	3417	58.1
CLE	9	543	546	18.9	7.2	6.8	3.4	0.4	1.2	17	242	1014	207	2231	21.1	193	3245	58.1
MIN	10	567	579	17.2	6.6	6.2	3.1	0.4	1.0	16	274	1202	201	2280	21.8	205	3481	57.7
GB	9	566	574	17.4	6.6	5.8	2.9	0.4	1.0	14	272	1291	198	2026	18.9	178	3317	57.4
PIT	9	535	531	18.8	6.8	6.9	3.5	0.4	1.1	17	234	983	204	2200	20.8	193	3184	57.1
DAL	9	549	557	17.2	7.5	5.8	2.9	0.4	1.2	15	257	1132	200	2155	20.8	193	3286	56.6
CHI	9	509	517	16.7	6.5	6.3	3.2	0.3	1.0	16	235	1057	190	2026	19.2	182	3083	56.4
TB	9	513	518	19.0	6.6	5.0	2.5	0.4	1.0	13	233	1034	191	2005	20.8	190	3039	55.0
ATL	9	540	545	18.9	6.8	6.2	3.1	0.4	1.1	15	247	1101	201	2137	22.2	202	3238	54.0
NE	9	513	518	14.7	6.5	4.3	2.1	0.3	1.0	11	237	1117	191	2064	18.5	174	3181	53.8
IND	9	504	510	17.8	6.4	5.3	2.7	0.4	1.1	13	234	999	184	2023	21.0	193	3022	53.4
LV	9	557	573	16.5	7.1	6.1	3.0	0.4	1.2	15	274	1179	195	2046	22.9	207	3225	51.1
ARI	9	551	565	16.9	6.8	5.8	2.9	0.4	1.1	15	268	1193	195	2056	22.7	205	3249	50.4
TEN	9	546	553	16.8	6.6	5.2	2.6	0.4	1.0	13	254	1122	200	2220	22.5	206	3342	48.7
NYJ	9	528	549	15.7	6.5	5.9	2.9	0.3	1.0	15	272	1249	176	1827	23.7	214	3076	46.4
MIA	10	574	594	15.1	6.6	5.4	2.7	0.3	1.0	13	290	1322	197	2194	26.6	239	3517	45.3

Help/FAQ
FAQ/Methodology: See here.

Players Rules Out For This Week (but expected to play again this year):

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Note: Filters and sorting in the table below apply to the output

Name	Team	Pos	PTS/G
Tyler Goodson	DAL	RB	4.0
Britain Covey	PHI	WR	0.0
Rashid Shaheed	SEA	WR	3.2
KaVontae Turpin	DAL	WR	2.0
Dontayvion Wicks	PHI	WR	3.9
Will Mallory	IND	TE	1.4
Kendall Williamson	LAC	DB	0.4
Ben VanSumeren	KC	RB	0.1
Reese Taylor	MIA	DB	0.9
Luke Schoonmaker	DAL	TE	0.4
DeMarvion Overshown	DAL	LB	9.0
Michael Wilson	ARI	WR	6.5
Aidan O’Connell	LV	QB	0.1
Josh Whyle	GB	TE	0.6
Starling Thomas	ARI	DB	0.3
Brandon Pili	SEA	DL	0.8
Eku Leota	ARI	LB	1.8
Jacob Saylors	DET	RB	0.1
Desjuan Johnson	LAR	LB	1.4
Yaya Diaby	TB	LB	3.8
Puka Nacua	LAR	WR	13.7
Joey Porter	DAL	DB	5.1
Basil Okoye	NYG	DL	1.1
Charles Woods	NE	DB	1.5
Riley Leonard	IND	QB	0.1
Kyle Monangai	CHI	RB	6.1
Deshaun Watson	CLE	QB	6.2
DJ Wonnum	DET	DL	4.9
Fabian Moreau	WAS	DB	1.2
Jaylan Ford	NO	LB	0.7
Theo Wease Jr.	LAC	WR	0.0
TreVeyon Henderson	NE	RB	6.3
Cam Skattebo	NYG	RB	11.2
Jihaad Campbell	PHI	LB	5.6
Thomas Fidone II	NYG	TE	0.4
Kurtis Rourke	SF	QB	0.1
Dont’e Thornton Jr.	LV	WR	0.0
Billy Bowman Jr.	ATL	DB	5.9
Ahmed Hassanein	DET	DL	0.9
Justin Walley	IND	DB	6.6
Robert Longerbeam	ATL	DB	0.7
Nikko Reed	NYG	DB	0.3
TeRah Edwards	CAR	DL	1.7
Michael Reid	NO	DB	0.8
Garrett Nussmeier	KC	QB	0.1
Ty Simpson	LAR	QB	0.1
Mansoor Delane	KC	DB	7.8
Malik Muhammad	CHI	DB	5.3
Christen Miller	NO	DL	3.5
Peter Woods	KC	DL	1.6
Brenen Thompson	LAC	WR	0.4
Taylen Green	CLE	QB	0.3
Justin Joly	MIA	TE	0.0
Colton Hood	NYG	DB	0.7
A.J. Haulcy	IND	DB	6.9
Zachariah Branch	ATL	WR	2.3
Athan Kaliakmanis	WAS	QB	0.1
CJ Donaldson	NO	RB	2.0
Malik Benson	LV	WR	0.7
Will Lee III	CAR	DB	3.0
Gracen Halton	SF	DL	2.4
Keyshaun Elliott	CHI	LB	1.0
Haynes King	CAR	QB	0.2
Behren Morton	NE	QB	0.2
Dallen Bentley	DEN	TE	0.0
DeMonte Capehart	TB	DL	0.7
Jack Pyburn	KC	DL	0.9
Justin Jefferson	CLE	LB	1.2
Jack Strand	ATL	QB	0.1
Landon Robinson	CIN	DL	0.8
Ayden Garnes	TB	DB	0.8
Kris Abrams-Draine	DEN	DB	1.0
A.J. Brown	NE	WR	7.3
Isaac Yiadom	WAS	DB	0.4
Jauan Jennings	MIN	WR	2.2
Jonathan Jones	PHI	DB	0.4
Joseph Ossai	NYJ	LB	4.1
Jaelan Phillips	CAR	LB	4.5
Khalid Kareem	SF	DL	1.6
Kyler Murray	MIN	QB	13.4
Lil’Jordan Humphrey	DEN	WR	0.9
MarShawn Lloyd	GB	RB	3.5
Leonard Williams	SEA	DL	6.1
Tatum Bethune	SF	LB	1.5
Maliek Collins	CLE	DL	5.1
Mike Evans	SF	WR	9.0
Noah Igbinoghene	CLE	DB	1.3
Nahshon Wright	NYJ	DB	1.1
Brandon Jones	DEN	DB	6.3
Pharaoh Brown	IND	TE	0.6
Andy Dalton	ATL	QB	0.1
P.J. Locke	DAL	DB	7.5
Akeem Davis-Gaither	IND	LB	6.4
Bobby Okereke	CAR	LB	10.4
AJ Dillon	CAR	RB	0.1
Sam Darnold	SEA	QB	13.9
Sam Ehlinger	DEN	QB	0.1
Cade Stover	HOU	TE	0.6
Talanoa Hufanga	DEN	DB	6.5
Tim Patrick	NYJ	WR	1.2
Uchenna Nwosu	SEA	LB	4.1
Trevin Wallace	NYJ	LB	0.4
Mekhi Wingo	DET	DL	0.8
Jaylen Wright	MIA	RB	5.3
Case Keenum	CHI	QB	0.1
Zaire Franklin	GB	LB	9.2
Zach Wilson	NO	QB	0.1
Jalen Tolbert	MIA	WR	0.4
Treylon Burks	WAS	WR	5.2
Garrett Wilson	NYJ	WR	6.9
Jake Ferguson	DAL	TE	0.6
George Pickens	DAL	WR	6.8
Drake Jackson	ATL	DL	2.4
Trent McDuffie	LAR	DB	6.8
Thomas Booker	LV	DL	2.6
John Ridgeway	NO	DL	2.0
Reed Blankenship	HOU	DB	5.7
Deane Leonard	LAC	DB	1.2
Marcellas Dial	MIA	DB	0.9
David Montgomery	HOU	RB	10.7
D.J. Reed	DET	DB	6.5
DeVonta Smith	PHI	WR	7.0
Deebo Samuel	SF	WR	5.7

Player Reference data (Depth Charts, Injury Status, DFS Salaries, etc.) provided courtesy of FantasyData.com.

Filtering Results: You can filter multiple fields at the same time. The text fields below the column headers enable several methods for filtering the data. Here are some examples:

Function	Symbol	Example	Explanation
ANY MATCH		‘NY’ in Opponent field	This would filter the results to only pitchers facing the New York Giants (NYG) and New York Jets (NYJ)
OR	\|	Odell Beckham\|Jarvis Landry in ‘Name’	This would display the stats only for these two players. It is always best to use wildcards (*) before/after names since this field is filtering the full player URL.
NOT	!	!@ in Opponent	This would remove all away games.
WILDCARD	*	ryan\|brady in ‘Name’	This would display the stats for Matt Ryan, Ryan Tannehill, and Tom Brady.
NOR	! (\|)	!(matt ryan\|tom brady) in ‘Name’	This would display the stats for all QBs EXCEPT those two.
GREATER THAN	>	>10 in STD PTS	This would only display rows for players whose projected STD PTS is greater than 10
LESS THAN	<	<10 in STD PTS	This would only display rows for players whose projected STD PTS is less than 10
GREATER THAN OR EQUAL TO	>=	>=10 in STD PTS	This would only display rows for players whose projected STD PTS is greater than or equal to 10
LESS THAN OR EQUAL TO	<=	<=10 in STD PTS	This would only display rows for players whose projected STD PTS is less than or equal to 10

Maintained by Rudy Gamble ([email protected])

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