Weekly data
Week 5 usage report: snap-share risers and fallers through Week 4
Quick answer: Through Week 4, 74 skill players gained 10+ points of snap share and 57 lost that much. The ones that matter for Week 5: Zay Flowers (31% to 73%), Braelon Allen (41% to 94%) and Brycen Tremayne (39% to 92%). Case Keenum fell from 100% to 1%.
- Players compared
- 459
- Risers (+10 pts)
- 74
- Fallers (โ10 pts)
- 57
- RB committees
- 14 teams
How did we measure it?
Snap share moves before fantasy points do, which makes Wednesday the best day to read it. Week 4 gave us 74 role risers and 57 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 4 share with his average over the earlier weeks. A riser gained at least 10 points and played at least 40% in Week 4. 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 7 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 4?
| Player | Pos | Team | Weeks 1โ3 avg | Wk 4 | Change | Why it moved |
|---|---|---|---|---|---|---|
| Jalon Daniels | QB | TB | 6% | 100% | +94 | Baker Mayfield sat (Out now) |
| Tyson Bagent | QB | CHI | 14% | 100% | +86 | Caleb Williams sat (Out now) |
| Darius Cooper | WR | PHI | 22% | 90% | +68 | DeVonta Smith sat (Questionable now) |
| Dohnte Meyers | WR | CIN | 30% | 89% | +59 | 15.2 PPR on the new role |
| Brycen Tremayne | WR | CAR | 39% | 92% | +53 | Role up, points flat (5.2 PPR) |
| Braelon Allen | RB | NYJ | 41% | 94% | +53 | 8.7 PPR on the new role |
| Jalen Royals | WR | KC | 17% | 63% | +46 | Role up, points flat (0.0 PPR) |
| Cody White | WR | LV | 16% | 62% | +46 | Role up, points flat (7.6 PPR) |
| Sam Darnold | QB | SEA | 55% | 100% | +45 | Drew Lock sat |
What it means for your lineup
- Braelon Allen is the NYJ back to own. A jump from 41% to 94% is a coaching decision, not noise. He scored 8.7 PPR on it.
- Sam Darnold (55% to 100%) rose because Drew Lock didn't play. Stash him in deep leagues; don't start him on the assumption the job is his.
- Brycen Tremayne played 92% of snaps (up from 39%) and it hasn't shown up in the box score (5.2 PPR). Role first, points later.
- Jalen Royals is the buy. His role went from 17% to 63% of snaps but he scored just 0.0 PPR, so his league-mates haven't noticed yet.
- Dohnte Meyers (30% to 89%) already cashed the new role for 15.2 PPR. Start him while the snaps hold.
Who lost the most snap share?
| Player | Pos | Team | Weeks 1โ3 avg | Wk 4 | Change | Status and context |
|---|---|---|---|---|---|---|
| Case Keenum | QB | CHI | 100% | 1% | -99 | Tyson Bagent took 100% |
| Baker Mayfield | QB | TB | 98% | DNP | -98 | Did not play; Out |
| Drew Lock | QB | SEA | 95% | DNP | -95 | Did not play |
| DeVonta Smith | WR | PHI | 94% | DNP | -94 | Did not play; Questionable |
| Caleb Williams | QB | CHI | 93% | DNP | -93 | Did not play; Out |
| Carson Wentz | QB | MIN | 92% | DNP | -92 | Did not play |
| Caleb Douglas | WR | MIA | 88% | DNP | -88 | Did not play; Questionable |
| Cooper Rush | QB | ATL | 79% | DNP | -79 | Did not play |
What it means for your lineup
- Case Keenum is a sell. He dropped from 100% to 1% while Tyson Bagent took 100%. That's a depth-chart change.
- DNP isn't a demotion. Baker Mayfield, Drew Lock, DeVonta Smith, Caleb Williams, Carson Wentz, Caleb Douglas and Cooper Rush lost their snaps by not playing. Their roles are intact, so Sunday's status is the whole question.
Which Week 4 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 4's biggest point risers by whether their snap share rose with them (by 5 points or more).
| Player | Pos | Team | Prior PPR avg | Wk 4 PPR | Snap change |
|---|---|---|---|---|---|
| Emanuel Wilson | RB | SEA | 3.6 | 27.0 | +32 |
| Tyquan Thornton | WR | KC | 5.6 | 28.1 | +5 |
| Kyren Williams | RB | LAR | 17.7 | 36.7 | +20 |
| Brian Robinson Jr. | RB | ATL | 7.6 | 25.7 | +9 |
| Drake Maye | QB | NE | 9.2 | 27.2 | +6 |
| Player | Pos | Team | Prior PPR avg | Wk 4 PPR | Snap change |
|---|---|---|---|---|---|
| Romeo Doubs | WR | NE | 6.8 | 23.8 | -1 |
What it means: Emanuel Wilson, Tyquan Thornton and Kyren Williams scored more because they played more; that's the spike to trust. Romeo Doubs scored big on a smaller role, so don't pay waiver money for that.
How accurate were Week 4 projections?
We graded every player projected for at least 5 PPR points against what he actually scored. 58% of 245 landed within 5 points, and the median player scored 0.3 points under his projection.
| Position | Players | Average miss (pts) | Within 5 pts | Beat projection |
|---|---|---|---|---|
| QB | 30 | 4.7 | 57% | 33% |
| RB | 51 | 6.6 | 49% | 47% |
| WR | 83 | 6.6 | 47% | 51% |
| TE | 29 | 5.2 | 59% | 52% |
| All (incl. K, DST) | 245 | 5.4 | 58% | 46% |
Biggest beats: Tetairoa McMillan (+29.3), CeeDee Lamb (+24.3), Kyren Williams (+22.8). Biggest misses: Justin Jefferson (-15.4), Rashee Rice (-14.4), Parker Washington (-13.7).
What it means: TE projections were the most trustworthy number in Week 4: 59% landed within 5 points. WRs were the least, at 47% with an average miss of 6.6. For a close WR call, weight role and snap trend over a one-point projection gap.
Which backfields are committees?
In Week 4, 14 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 |
|---|---|---|---|---|
| LAC | Keaton Mitchell | 37% | Omarion Hampton | 35% |
| NO | CJ Donaldson | 38% | Alvin Kamara | 38% |
| DEN | RJ Harvey | 44% | J.K. Dobbins | 32% |
| WAS | Jacory Croskey-Merritt | 45% | Austin Ekeler | 27% |
| PHI | Will Shipley | 48% | Tank Bigsby | 48% |
| TEN | Tony Pollard | 53% | Tyjae Spears | 36% |
| CHI | Kyle Monangai | 54% | D'Andre Swift | 35% |
| ARI | Tyler Allgeier | 55% | Jeremiyah Love | 45% |
| GB | MarShawn Lloyd | 55% | Kaleb Johnson | 28% |
| HOU | David Montgomery | 56% | Woody Marks | 44% |
| MIA | Ollie Gordon II | 56% | Jaylen Wright | 31% |
| TB | Bucky Irving | 59% | Kenny Gainwell | 43% |
| JAX | Bhayshul Tuten | 59% | Chris Rodriguez Jr. | 25% |
| BUF | James Cook III | 59% | Ty Johnson | 32% |
What it means: The true coin flips: NO (CJ Donaldson 38%, Alvin Kamara 38%); PHI (Will Shipley 48%, Tank Bigsby 48%). New lead backs since the week before: Keaton Mitchell (LAC, was Omarion Hampton), RJ Harvey (DEN, was J.K. Dobbins), Kyle Monangai (CHI, was D'Andre Swift).
Who should you add off waivers before Week 5?
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:
- Dohnte Meyers (WR, CIN): 30% to 89% of snaps, rostered in 0% of leagues.
- Brycen Tremayne (WR, CAR): 39% to 92% of snaps, rostered in 2% of leagues.
- Jalen Royals (WR, KC): 17% to 63% of snaps, rostered in 0% of leagues.
- Cody White (WR, LV): 16% to 62% of snaps, rostered in 0% of leagues.
- Devontez Walker (WR, BAL): 28% to 69% 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 = 4
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: the free plan's 50 a month covers a sweep or two to try it, and running it every week takes Basic (5,000 a month). 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 4 compared?
Against each player's average snap share over Weeks 1 to 3. 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 5 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.