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Projected solo tackles for every defender this week — the same workload model, split by how often he finishes a tackle unassisted.
NYG @ WSHSun 1 PMArvell ReeseLB7.5 tkl · 4.9 solo · 2.6 ast0.21 sacks · 99% of snaps · 4.0–11.0 range
NYG @ WSHSun 1 PM4.9tkl
DEN @ LACSun 4 PMAlex SingletonLB9.0 tkl · 4.5 solo · 4.5 ast0.20 sacks · 100% of snaps · 5.0–13.0 range
DEN @ LACSun 4 PM4.5tkl
LV @ NESun 1 PMNakobe DeanLB6.9 tkl · 4.4 solo · 2.5 ast0.28 sacks · 99% of snaps · 4.0–10.0 range
LV @ NESun 1 PM4.4tkl
NYG @ WSHSun 1 PMTremaine EdmundsMLB7.3 tkl · 4.3 solo · 3.0 ast0.31 sacks · 100% of snaps · 4.0–10.0 rangeNYG @ WSHSun 1 PM4.3tkl
GB vs CHISun 1 PMEvan WilliamsSAF7.1 tkl · 4.2 solo · 2.9 ast0.10 sacks · 100% of snaps · 4.0–10.0 range
GB vs CHISun 1 PM4.2tkl
DEN @ LACSun 4 PMBrandon JonesSAF6.4 tkl · 4.1 solo · 2.3 ast0.03 sacks · 98% of snaps · 3.0–9.0 rangeDEN @ LACSun 4 PM4.1tkl
DET @ ARISun 4 PMD.J. ReedCB6.1 tkl · 4.0 solo · 2.0 ast97% of snaps · 3.0–9.0 range
DET @ ARISun 4 PM4.0tkl
IND @ PITSun 1 PMAkeem Davis-GaitherLB7.5 tkl · 4.0 solo · 3.5 ast0.17 sacks · 96% of snaps · 4.0–11.0 range
IND @ PITSun 1 PM4.0tkl
PHI @ JAXSun 9 AMJeremiah Trotter Jr.LB6.9 tkl · 4.0 solo · 3.0 ast0.23 sacks · 100% of snaps · 4.0–10.0 range
PHI @ JAXSun 9 AM4.0tkl
TB @ DALThu 8 PMJosiah TrotterLB7.5 tkl · 3.9 solo · 3.6 ast0.24 sacks · 86% of snaps · 4.0–11.0 range
TB @ DALThu 8 PM3.9tkl
DET @ ARISun 4 PMChristian IzienSAF6.0 tkl · 3.9 solo · 2.1 ast0.07 sacks · 76% of snaps · 3.0–9.0 rangeDET @ ARISun 4 PM3.9tkl
SEA vs SFSun 4 PMErnest JonesLB7.4 tkl · 3.9 solo · 3.5 ast0.29 sacks · 99% of snaps · 4.0–11.0 range
SEA vs SFSun 4 PM3.9tkl
SF @ SEASun 4 PMFred WarnerMLB8.1 tkl · 3.9 solo · 4.2 ast0.18 sacks · 92% of snaps · 5.0–12.0 range
SF @ SEASun 4 PM3.9tkl
MIA vs CINSun 1 PMJacob RodriguezLB7.8 tkl · 3.8 solo · 4.0 ast0.16 sacks · 98% of snaps · 4.0–11.0 range
MIA vs CINSun 1 PM3.8tkl
DET @ ARISun 4 PMJack CampbellLB7.3 tkl · 3.8 solo · 3.5 ast0.15 sacks · 100% of snaps · 4.0–11.0 rangeDET @ ARISun 4 PM3.8tkl
PHI @ JAXSun 9 AMJihaad CampbellLB6.4 tkl · 3.8 solo · 2.6 ast0.24 sacks · 94% of snaps · 3.0–9.0 rangePHI @ JAXSun 9 AM3.8tkl
GB vs CHISun 1 PMKeisean NixonDB5.6 tkl · 3.8 solo · 1.8 ast0.06 sacks · 100% of snaps · 3.0–8.0 rangeGB vs CHISun 1 PM3.8tkl
CHI @ GBSun 1 PMDillon ThienemanSAF6.5 tkl · 3.6 solo · 2.9 ast0.03 sacks · 100% of snaps · 4.0–10.0 range
CHI @ GBSun 1 PM3.6tkl
MIN @ NOSun 1 PMBlake CashmanLB7.0 tkl · 3.6 solo · 3.4 ast0.46 sacks · 95% of snaps · 4.0–10.0 range
MIN @ NOSun 1 PM3.6tkl
NYJ vs CLESun 1 PMDemario DavisOLB6.4 tkl · 3.5 solo · 2.8 ast0.34 sacks · 100% of snaps · 3.0–9.0 range
NYJ vs CLESun 1 PM3.5tkl
NYJ vs CLESun 1 PMMinkah FitzpatrickFS6.1 tkl · 3.5 solo · 2.6 ast0.03 sacks · 100% of snaps · 3.0–9.0 rangeNYJ vs CLESun 1 PM3.5tkl
LAR vs BUFMon 8 PMQuentin LakeSAF5.7 tkl · 3.5 solo · 2.2 ast0.03 sacks · 100% of snaps · 3.0–8.0 range
LAR vs BUFMon 8 PM3.5tkl
SF @ SEASun 4 PMRenardo GreenCB5.2 tkl · 3.5 solo · 1.7 ast97% of snaps · 3.0–8.0 rangeSF @ SEASun 4 PM3.5tkl
BUF @ LARMon 8 PMTerrel BernardLB6.3 tkl · 3.4 solo · 2.9 ast0.16 sacks · 96% of snaps · 3.0–9.0 range
BUF @ LARMon 8 PM3.4tkl
ATL vs BALSun 8 PMXavier WattsSAF5.5 tkl · 3.4 solo · 2.0 ast0.05 sacks · 98% of snaps · 3.0–8.0 range
ATL vs BALSun 8 PM3.4tkl
CHI @ GBSun 1 PMTyrique StevensonCB5.0 tkl · 3.4 solo · 1.6 ast0.02 sacks · 89% of snaps · 3.0–8.0 rangeCHI @ GBSun 1 PM3.4tkl
DAL vs TBThu 8 PMCaleb DownsSAF5.4 tkl · 3.4 solo · 2.0 ast0.09 sacks · 97% of snaps · 3.0–8.0 range
DAL vs TBThu 8 PM3.4tkl
NYJ vs CLESun 1 PMAndre CiscoSAF4.9 tkl · 3.4 solo · 1.5 ast0.08 sacks · 96% of snaps · 2.0–7.0 rangeNYJ vs CLESun 1 PM3.4tkl
ARI vs DETSun 4 PMBudda BakerS5.8 tkl · 3.4 solo · 2.4 ast0.10 sacks · 100% of snaps · 3.0–9.0 range
ARI vs DETSun 4 PM3.4tkl
BAL @ ATLSun 8 PMKyle HamiltonSAF5.7 tkl · 3.4 solo · 2.3 ast0.02 sacks · 98% of snaps · 3.0–8.0 range
BAL @ ATLSun 8 PM3.4tklWe can't grade this one honestly. No public source publishes the official solo/assist split, so the solo number is our own split applied to the official combined total — and graded against it, betting the under blind returns +11%, which means the settlement is off, not that there's an edge. Use these as projections; don't read them against a line.
Every number here comes from the same drive-level simulation as the matchups board, so a player's line and his team's projected points are the same game. Not betting advice — 21+, play responsibly (1-800-GAMBLER).