What Fgm is

Field goals made. Kicking accuracy multiplied by how often the offense got close enough to try.

Higher is better. It is shown per game, so a team's number does not depend on games played. Source: P + N.

In 2018 the Texans led at 2.31; the league average was 1.57.

League snapshot — 2018

League leader

HOU · 2.31

League average

1.57

Best to worst

1.56

All 32 teams, higher is better.

Rank	Team	Value	Games
1	HOU	2.31	16
2	BAL	2.19	16
3	LAR	2.13	16
4	NYJ	2.06	16
5	SF	2.06	16
6	NYG	2	16
7	GB	1.88	16
8	DAL	1.81	16
9	DET	1.75	16
10	NO	1.75	16
11	LV	1.69	16
12	NE	1.69	16
13	PHI	1.63	16
14	TEN	1.63	16
15	WAS	1.63	16
16	ATL	1.56	16
17	KC	1.50	16
18	LAC	1.50	16
19	CHI	1.44	16
20	IND	1.44	16
21	JAX	1.44	16
22	BUF	1.38	16
23	MIN	1.38	16
24	SEA	1.38	16
25	DEN	1.25	16
26	TB	1.25	16
27	CAR	1.19	16
28	CIN	1.19	16
29	CLE	1.19	16
30	MIA	1.13	16
31	PIT	1	16
32	ARI	0.75	16

Where the 32 teams sit on this stat this season.

League leader

HOU · 2.31

League laggard

ARI · 0.75

League average

1.57

Spread (max − min)

1.56

Rank	Team	Value	Δ vs avg	Percentile
1	HOU	2.31	0.75	100%
2	BAL	2.19	0.62	96.8%
3	LAR	2.13	0.56	93.5%
4	NYJ	2.06	0.50	90.3%
5	SF	2.06	0.50	87.1%
6	NYG	2	0.43	83.9%
7	GB	1.88	0.31	80.6%
8	DAL	1.81	0.25	77.4%
9	DET	1.75	0.18	74.2%
10	NO	1.75	0.18	71%
11	LV	1.69	0.12	67.7%
12	NE	1.69	0.12	64.5%
13	PHI	1.63	0.06	61.3%
14	TEN	1.63	0.06	58.1%
15	WAS	1.63	0.06	54.8%
16	ATL	1.56	0.00	51.6%
17	KC	1.50	-0.07	48.4%
18	LAC	1.50	-0.07	45.2%
19	CHI	1.44	-0.13	41.9%
20	IND	1.44	-0.13	38.7%
21	JAX	1.44	-0.13	35.5%
22	BUF	1.38	-0.19	32.3%
23	MIN	1.38	-0.19	29%
24	SEA	1.38	-0.19	25.8%
25	DEN	1.25	-0.32	22.6%
26	TB	1.25	-0.32	19.4%
27	CAR	1.19	-0.38	16.1%
28	CIN	1.19	-0.38	12.9%
29	CLE	1.19	-0.38	9.7%
30	MIA	1.13	-0.44	6.5%
31	PIT	1	-0.57	3.2%
32	ARI	0.75	-0.82	0%

Run as a one-stat algorithm against the closing line, this stat went 817–761–37 ATS (51.8%) across 2020–2025, #181 of 296 ranked.

Its best season was 2020 (146–108, 57.5%); its worst 2021 (131–139, 48.5%).

For picks, this is noise. One stat is not a recipe — the algorithms combine many.

Season	Games	ATS record	ATS %
2020	256	146–108–2	57.5%
2021	272	131–139–2	48.5%
2022	271	131–133–7	49.6%
2023	272	129–129–14	50.0%
2024	272	140–123–9	53.2%
2025	272	140–129–3	52.0%

7-year window (2020–2026)

Multi-year leader

IND · 2.08

Multi-year laggard

PHI · 1.36

Biggest improver

MIN · +0.24/yr

Biggest decliner

NE · −0.10/yr

Rank	Team	Avg	Slope/yr	2020	2021	2022	2023	2024	2025	2026
1	IND	2.08	+0.15	2	1.71	1.88	1.94	1.82	2	3.20
2	DAL	1.99	+0.02	2.13	1.71	1.71	2.12	2.35	2.12	1.80
3	HOU	1.97	+0.18	1.69	1.24	1.71	2	2.12	2.82	2.20
4	LV	1.92	−0.06	2.06	2.35	2	1.53	2	1.29	2.20
5	ATL	1.87	−0.05	2.38	1.59	1.88	1.88	1.71	1.88	1.80
6	PIT	1.87	+0.02	1.44	2.12	2	1.71	2.41	1.59	1.80
7	MIN	1.83	+0.24	0.94	1.94	1.53	1.41	2.06	1.94	3
8	BAL	1.80	−0.03	1.63	2.06	2.18	1.88	1.29	1.76	1.80
9	SEA	1.79	+0.14	1.50	1	2	2.06	1.53	2.41	2
10	LAC	1.78	+0.06	1.50	1.41	1.82	1.82	2.29	2.24	1.40
11	TB	1.77	+0.05	1.75	1.47	1.82	1.71	1.76	1.88	2
12	KC	1.73	+0.06	1.56	1.65	1.41	1.94	1.88	1.94	1.75
13	DEN	1.68	−0.00	1.75	1.53	1.65	1.76	1.82	1.65	1.60
14	CAR	1.67	+0.02	1.81	1.53	1.94	1.47	1.29	1.41	2.25
15	MIA	1.67	−0.05	2.25	1.35	1.53	1.41	2.18	1.59	1.40
16	ARI	1.65	+0.01	1.44	1.76	1.65	1.65	2	1.47	1.60
17	NYG	1.65	−0.01	1.94	1.71	1.71	1.29	1.35	1.35	2.20
18	CHI	1.64	−0.03	1.88	1.53	1.47	2.06	1.24	1.94	1.40
19	CIN	1.62	+0.02	1.69	1.71	1.50	1.53	1.47	1.47	2
20	WAS	1.58	+0.01	1.69	1.65	1.47	1.12	2	1.35	1.80
21	JAX	1.58	+0.10	1.13	1.24	1.76	1.76	1.59	1.76	1.80
22	LAR	1.56	−0.09	1.50	1.88	1.65	1.88	1.71	1.29	1
23	NE	1.55	−0.10	1.63	2.12	1.88	0.94	1.53	1.59	1.20
24	NYJ	1.55	+0.04	1.31	1.24	1.76	2.12	1.18	1.65	1.60
25	BUF	1.55	−0.04	1.75	1.65	1.69	1.41	1.41	1.12	1.80
26	SF	1.52	−0.00	1.38	1.59	1.59	1.24	1.94	1.94	1
27	GB	1.49	+0.07	1	1.47	1.47	1.59	1.88	1.65	1.40
28	NO	1.48	−0.02	1.44	1.47	1.35	1.76	1.59	1.76	1
29	DET	1.44	+0.04	1.31	1.53	1.41	1.12	1.53	1.59	1.60
30	CLE	1.43	+0.11	1.19	0.94	1.41	2	1.06	1.41	2
31	TEN	1.41	−0.00	1.25	1.53	1.18	1.71	1.47	1.71	1
32	PHI	1.36	−0.02	0.88	1.76	1.29	1.76	1.65	1.18	1

32 teams across 7 seasons. Cells colored by quintile within each season; click a column header to jump to that year.

How the 32 teams cluster for 2018.

About this stat

Stat ID: off_team_scoring_fgm
Side: offensive
Family: Scoring
Data source: P + N
Polarity: higher is better (or neutral)
Display grain: count
Algorithm eligibility: Stat-page only: this stat is not available in the Algorithm Builder.