Offensive: Conversions · Third down pct

OFF · ConversionsP + N
About this stat ↓

What Third down pct is

Third-down conversion rate: third downs converted divided by third downs faced, as a percentage. Where drives live or die — the share of third downs the offense turned into a new set of downs.

Higher is better. It is a rate, so a team's number does not grow with games played. Source: P + N.

In 2018 the Colts led at 50.48; the league average was 39.84.

League snapshot — 2018

League leader
IND · 50.48
League average
39.84
Best to worst
21.19

All 32 teams, higher is better.

At a glance — 2018

Where the 32 teams sit on this stat this season.

League leader
IND · 50.48
League laggard
ARI · 29.29
League average
39.84
Spread (max − min)
21.19

Does Third down pct matter against the spread?

Run as a one-stat algorithm against the closing line, this stat went 867–711–37 ATS (54.9%) across 2020–2025, #76 of 296 ranked.

Its best season was 2022 (156–108, 59.1%); its worst 2021 (141–129, 52.2%).

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

SeasonGamesATS recordATS %
2020256139–115–254.7%
2021272141–129–252.2%
2022271156–108–759.1%
2023272135–123–1452.3%
2024272149–114–956.7%
2025272147–122–354.6%

Multi-year context

7-year window (2020–2026)

Multi-year leader
BUF · 49.39
Multi-year laggard
NYJ · 35.01
Biggest improver
CIN · +1.86/yr
Biggest decliner
CLE · −2.34/yr

Multi-year heatmap

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

Team2020202120222023202420252026
BUF51.1048.1751.3250.9244.9546.3452.94
SF40.3141.8445.2448.0442.8650.7251.92
CIN36.1541.0647.5538.3246.7344.5051.52
DAL40.9344.2045.6550.8837.0042.9350.85
LAR43.7544.1239.1543.3037.7640.4346.88
JAX40.9836.6742.0638.8437.2540.2846.67
NO46.0836.0741.9439.4835.3539.6445.83
NYG37.2437.3937.9831.3036.0940.3644.93
KC50.0053.2048.9644.7049.3337.9644.90
CHI34.9835.5142.4041.3533.3342.5444.29
MIA38.8141.5636.9843.2236.6735.4242.86
LV46.1938.0540.6737.0935.5934.2742.19
NE41.6244.8836.1930.6335.9843.5941.94
ATL44.5539.7142.4940.4439.6134.1541.67
ARI40.5046.7935.5039.4643.7542.4141.10
MIN41.1137.4441.1539.4641.2132.2940.79
BAL49.2836.4442.7942.2348.6841.2940.00
TB45.9947.9538.2742.6750.6941.8539.71
HOU44.9740.3430.3238.5338.2637.8338.46
CAR40.2136.2132.1834.1436.0236.4538.00
LAC44.5945.6645.4938.5641.4746.0037.88
NYJ34.3136.9734.7326.2740.0034.9337.88
IND40.9341.8333.7736.3638.0743.0137.31
DET41.3634.7441.4342.9948.5338.9737.29
PHI37.4445.9146.8248.4344.1638.1636.76
TEN46.6743.8337.3334.9337.6731.9035.59
PIT42.9239.7544.9237.1240.5341.3535.00
DEN39.2339.2529.5737.1639.9142.6734.38
WAS40.0939.2935.8135.9445.8737.9731.88
SEA41.9437.8238.0036.8937.9842.5731.58
CLE46.1539.6238.6032.2729.9634.4730.65
GB50.0044.0040.4047.3039.7948.5428.07

Distribution

How the 32 teams cluster for 2018.

About this stat
Stat ID
off_team_conversions_third_down_pct
Side
offensive
Family
Conversions
Data source
P + N
Polarity
higher is better (or neutral)
Display grain
rate
Algorithm eligibility
Algorithm-eligible: this stat can be picked in the Algorithm Builder.