Week 9 usage report: snap-share risers and fallers through Week 8

Players compared

462

Risers (+10 pts)

61

Fallers (−10 pts)

71

RB committees

12 teams

How did we measure it?

Week 8 is in the books, and the snap counts already know things the box score doesn't. 61 players gained a real role and 71 lost one; here are the moves worth acting on before Week 9.

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 8 share with his average over the earlier weeks. A riser gained at least 10 points and played at least 40% in Week 8. 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, November 4 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 8?

What it means for your lineup

• Ladd McConkey turned a 46% to 90% snap jump into 12.6 PPR. The points came with the role, which is the kind of spike that repeats.
• Efton Chism III is the buy. His role went from 48% to 88% of snaps but he scored just 6.7 PPR, so his league-mates haven't noticed yet.
• Eli Raridon is the buy. His role went from 50% to 92% of snaps but he scored just 1.5 PPR, so his league-mates haven't noticed yet.
• Chimere Dike is a fill-in, not a breakout. He went 13% to 82% because Carnell Tate sat. If Carnell Tate is back, so is the old role.
• Kyle Williams turned a 30% to 83% snap jump into 11.3 PPR. The points came with the role, which is the kind of spike that repeats.

Who lost the most snap share?

What it means for your lineup

• Lamar Jackson fell from 88% to 2% and is now Out. Check his status before you set a lineup.
• KeAndre Lambert-Smith lost the job: 87% to 3%, with Ladd McConkey up to 90%. Bench him until the snaps come back.
• DNP isn't a demotion. Jalen Hurts, Drew Lock, Carson Wentz, DeVonta Smith, Emeka Egbuka and Athan Kaliakmanis lost their snaps by not playing. Their roles are intact, so Sunday's status is the whole question.

Which Week 8 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 8's biggest point risers by whether their snap share rose with them (by 5 points or more).

What it means: Tyler Allgeier, Tee Higgins and Chimere Dike scored more because they played more; that's the spike to trust. Emmett Johnson and Adonai Mitchell scored big on a smaller role, so don't pay waiver money for that.

How accurate were Week 8 projections?

We graded every player projected for at least 5 PPR points against what he actually scored. 61% of 226 landed within 5 points, and the median player scored 0.1 points under his projection.

Biggest beats: Tyler Allgeier (+28.5), Tee Higgins (+21.3), Adonai Mitchell (+21.3). Biggest misses: Lamar Jackson (-20.9), Zay Flowers (-18.0), Drake London (-14.2).

What it means: WR projections were the most trustworthy number in Week 8: 62% landed within 5 points. QBs were the least, at 54% with an average miss of 6.9. For a close QB call, weight role and snap trend over a one-point projection gap.

Which backfields are committees?

In Week 8, 12 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.

What it means: The true coin flips: TB (Kenny Gainwell 50%, Bucky Irving 50%); BAL (Justice Hill 49%, Derrick Henry 45%). New lead backs since the week before: Tyler Allgeier (ARI, was Bam Knight), Mike Washington Jr. (LV, was Ashton Jeanty), Aaron Jones Sr. (MIN, was Jordan Mason).

Who should you add off waivers before Week 9?

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:

• Kyle Williams (WR, NE): 30% to 83% of snaps, rostered in 1% of leagues.
• Brevyn Spann-Ford (TE, DAL): 39% to 88% of snaps, rostered in 0% of leagues.
• Max Klare (TE, LAR): 1% to 46% of snaps, rostered in 1% of leagues.
• Eli Raridon (TE, NE): 50% to 92% of snaps, rostered in 2% of leagues.
• Payne Durham (TE, TB): 28% to 70% of snaps, rostered in 0% 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 = 8

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 8 compared?

Against each player's average snap share over Weeks 1 to 7. 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 9 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.