Weekly data
Week 8 usage report: snap-share risers and fallers through Week 7
Quick answer: Through Week 7, 58 skill players gained 10+ points of snap share and 64 lost that much. The ones that matter for Week 8: A.J. Brown (60% to 91%), Ollie Gordon II (46% to 83%) and Woody Marks (57% to 89%). Jameis Winston fell from 88% to 8%.
- Players compared
- 447
- Risers (+10 pts)
- 58
- Fallers (โ10 pts)
- 64
- RB committees
- 11 teams
How did we measure it?
Snap share moves before fantasy points do, which makes Wednesday the best day to read it. Week 7 gave us 58 role risers and 64 fallers, and a few of them are waiver decisions you should make today.
Snap share is the percentage of a team's offensive plays a player was on the field for. For every QB, RB, WR and TE with an earlier snap, we compared his Week 7 share with his average over the earlier weeks. A riser gained at least 10 points and played at least 40% in Week 7. A faller had averaged 50% or more and lost at least 10. A player whose team played but who didn't gets 0%, marked DNP. Byes don't count.
Every number comes from the GridIron API: /players, /snaps and /stats, with injury statuses as of Wednesday, October 28 at 12:06 pm ET. Projections appear only as deltas: how far actual points landed from the number.
Who gained the most snap share in Week 7?
| Player | Pos | Team | Weeks 1โ6 avg | Wk 7 | Change | Why it moved |
|---|---|---|---|---|---|---|
| J.J. McCarthy | QB | NYG | 23% | 92% | +69 | 10.2 PPR on the new role |
| Jalen Brooks | WR | ARI | 21% | 64% | +43 | Role up, points flat (4.5 PPR) |
| Darius Cooper | WR | PHI | 50% | 92% | +42 | DeVonta Smith sat (Questionable now) |
| Bam Knight | RB | ARI | 16% | 53% | +38 | 9.3 PPR on the new role |
| Ollie Gordon II | RB | MIA | 46% | 83% | +37 | 17.3 PPR on the new role |
| Germie Bernard | WR | PIT | 56% | 91% | +35 | Michael Pittman Jr. sat (IR now) |
| Brandin Cooks | WR | SF | 35% | 68% | +33 | Role up, points flat (2.3 PPR) |
| Marquise Brown | WR | PHI | 22% | 55% | +33 | DeVonta Smith sat (Questionable now) |
| Woody Marks | RB | HOU | 57% | 89% | +32 | 9.1 PPR on the new role |
What it means for your lineup
- Ollie Gordon II is the MIA back to own. A jump from 46% to 83% is a coaching decision, not noise. He scored 17.3 PPR on it.
- Woody Marks took over the HOU backfield: 57% to 89% of snaps. He scored 9.1 PPR on it.
- Bam Knight took over the ARI backfield: 16% to 53% of snaps. He scored 9.3 PPR on it.
- Germie Bernard is a fill-in, not a breakout. He went 56% to 91% because Michael Pittman Jr. sat. If Michael Pittman Jr. is back, so is the old role.
- J.J. McCarthy turned a 23% to 92% snap jump into 10.2 PPR. The points came with the role, which is the kind of spike that repeats.
Who lost the most snap share?
| Player | Pos | Team | Weeks 1โ6 avg | Wk 7 | Change | Status and context |
|---|---|---|---|---|---|---|
| Jalen Hurts | QB | PHI | 98% | DNP | -98 | Did not play; IR |
| Drew Lock | QB | SEA | 95% | DNP | -95 | Did not play; Questionable |
| Carson Wentz | QB | MIN | 92% | DNP | -92 | Did not play |
| Tyler Warren | TE | IND | 91% | DNP | -91 | Did not play; Questionable |
| Lamar Jackson | QB | BAL | 88% | DNP | -88 | Did not play; Questionable |
| DeVonta Smith | WR | PHI | 87% | DNP | -87 | Did not play; Questionable |
| Emeka Egbuka | WR | TB | 86% | DNP | -86 | Did not play; Questionable |
| Jameis Winston | QB | NYG | 88% | 8% | -80 | J.J. McCarthy took 92% |
What it means for your lineup
- Jameis Winston lost the job: 88% to 8%, with J.J. McCarthy up to 92%. Bench him until the snaps come back.
- DNP isn't a demotion. Jalen Hurts, Drew Lock, Carson Wentz, Tyler Warren, Lamar Jackson, DeVonta Smith and Emeka Egbuka lost their snaps by not playing. Their roles are intact, so Sunday's status is the whole question.
Which Week 7 point spikes should you trust?
A big fantasy week backed by more snaps is a role change. A big week on fewer snaps is usually a touchdown or a long play, and those don't repeat on schedule. We split Week 7's biggest point risers by whether their snap share rose with them (by 5 points or more).
| Player | Pos | Team | Prior PPR avg | Wk 7 PPR | Snap change |
|---|---|---|---|---|---|
| Tony Pollard | RB | TEN | 8.5 | 36.5 | +19 |
| Mason Taylor | TE | NYJ | 3.6 | 25.2 | +6 |
| KC Concepcion | WR | CLE | 6.6 | 23.2 | +11 |
| Davis Allen | TE | LAR | 2.1 | 18.0 | +27 |
| Makai Lemon | WR | PHI | 5.0 | 19.7 | +19 |
| Player | Pos | Team | Prior PPR avg | Wk 7 PPR | Snap change |
|---|---|---|---|---|---|
| Caleb Douglas | WR | MIA | 9.2 | 21.0 | -20 |
What it means: Tony Pollard, Mason Taylor and KC Concepcion scored more because they played more; that's the spike to trust. Caleb Douglas scored big on a smaller role, so don't pay waiver money for that.
How accurate were Week 7 projections?
We graded every player projected for at least 5 PPR points against what he actually scored. 57% of 208 landed within 5 points, and the median player scored 1.3 points under his projection.
| Position | Players | Average miss (pts) | Within 5 pts | Beat projection |
|---|---|---|---|---|
| QB | 29 | 5.0 | 48% | 45% |
| RB | 42 | 5.7 | 50% | 62% |
| WR | 67 | 5.7 | 54% | 31% |
| TE | 27 | 4.9 | 59% | 41% |
| All (incl. K, DST) | 208 | 5.1 | 57% | 42% |
Biggest beats: Tony Pollard (+25.2), Jameson Williams (+14.6), Caleb Douglas (+14.4). Biggest misses: Nico Collins (-14.4), Derrick Henry (-12.7), Jalen Coker (-12.7).
What it means: TE projections were the most trustworthy number in Week 7: 59% landed within 5 points. QBs were the least, at 48% with an average miss of 5.0. For a close QB call, weight role and snap trend over a one-point projection gap.
Which backfields are committees?
In Week 7, 11 teams had no running back above 60% of snaps (fullbacks excluded). Their backs are a riskier start than their names suggest, because the work is split before the game begins.
| Team | RB1 | Snaps | RB2 | Snaps |
|---|---|---|---|---|
| SEA | Emanuel Wilson | 48% | George Holani | 36% |
| DEN | Jonah Coleman | 49% | RJ Harvey | 26% |
| LAR | Kyren Williams | 51% | Blake Corum | 44% |
| BAL | Derrick Henry | 51% | Justice Hill | 46% |
| GB | Josh Jacobs | 52% | MarShawn Lloyd | 36% |
| SF | Christian McCaffrey | 52% | Kaelon Black | 47% |
| CLE | Quinshon Judkins | 53% | Dylan Sampson | 46% |
| ARI | Bam Knight | 53% | Tyler Allgeier | 47% |
| NYG | Cam Skattebo | 56% | Devin Singletary | 29% |
| NO | Alvin Kamara | 56% | Kendre Miller | 39% |
| TB | Bucky Irving | 59% | Kenny Gainwell | 30% |
What it means: The true coin flips: SF (Christian McCaffrey 52%, Kaelon Black 47%); BAL (Derrick Henry 51%, Justice Hill 46%). New lead backs since the week before: Quinshon Judkins (CLE, was Jaleel McLaughlin), Jonah Coleman (DEN, was J.K. Dobbins), Cam Skattebo (NYG, was Devin Singletary).
Who should you add off waivers before Week 8?
Risers rostered in under half of leagues, minus the fill-ins whose starter comes back. These are the adds that are about role, not one lucky week:
- J.J. McCarthy (QB, NYG): 23% to 92% of snaps, rostered in 16% of leagues.
- Jalen Brooks (WR, ARI): 21% to 64% of snaps, rostered in 0% of leagues.
- Bam Knight (RB, ARI): 16% to 53% of snaps, rostered in 17% of leagues.
- Brandin Cooks (WR, SF): 35% to 68% of snaps, rostered in 2% of leagues.
- Jordan Watkins (WR, SF): 45% to 76% of snaps, rostered in 1% of leagues.
Prioritize running backs, then receivers whose snap jump didn't show up in the box score yet.
How can I pull this data myself?
This report comes from about 20 API calls. /players returns each player's weekly snap share, so one paginated sweep gets the whole league:
import requests
API = "https://api.gridirondata.com/api/v1"
H = {"x-api-key": "YOUR_KEY"}
WEEK = 7
players, cursor = [], None
while True:
params = {"limit": 100, **({"cursor": cursor} if cursor else {})}
body = requests.get(f"{API}/players", headers=H, params=params).json()
players += body["players"]
cursor = body.get("next_cursor")
if not cursor:
break
def snap(p, week):
row = p.get("seasons", {}).get("2026", {}).get("snap_counts", {}).get("weekly", {}).get(str(week))
return row["offense_pct"] if row else None
def prior(p):
vals = [snap(p, w) for w in range(1, WEEK) if snap(p, w)]
return sum(vals) / len(vals) if vals else None
movers = [(snap(p, WEEK) - prior(p), p["player_id"]) for p in players
if p["position"] in ("RB", "WR", "TE") and prior(p) and snap(p, WEEK)]
for delta, pid in sorted(movers, reverse=True)[:10]:
print(f"{delta:+5.0f} {pid}")
That's about 18 requests, and it takes Basic ($5/month, 5,000 a month): a free key covers player lookups and this week's projections, so on the free plan /players returns profiles without the snap rows. For one player's trend, /snaps/{player_id}?trend=3 is a single call; see the snap share guide.
Frequently asked questions
What is snap share?
The percentage of his team's offensive plays a player was on the field for. It moves before fantasy points do, because a coach decides the role before the box score shows it.
How is Week 7 compared?
Against each player's average snap share over Weeks 1 to 6. We flag a riser only when the jump is at least 10 points and the new share is at least 40%, so one noisy week doesn't make the list.
When will Week 8 snap data be in the API?
Sunday's stats and snaps land Monday at about 11:00 am ET, and Monday night's on Tuesday. The next edition of this report follows on Wednesday.
Are these projections?
No. Every number here is an actual: snap share, PPR points, or how far actual points landed from the weekly projection.