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StatSharp’s New Football Player Stats: Your Ticket to Smarter Bets and DFS Wins

Why Every Football Bettor & DFS Player Needs This

Football wagering is won long before kickoff—when you’re armed with sharper intel than the books and your rivals. That’s exactly what StatSharp’s newest release delivers: a fully customizable, 20-year archive of NFL and college player statistics plus interactive game-matchup dashboards. From point-spread analysis to player-prop hunting to DFS lineup building, the platform transforms raw numbers into ready-to-use insights. Below, you’ll see how each feature works, why it matters, and how you can deploy it for a measurable edge this season.

A 20-Year Archive Built for Deep-Dive Analysis

Season: 2024,  Condition: All Games,  Sorted by: PY, DESC
Player Team Pos G CMP ATT CPCT PY YPC YPA >300 >400 PTD PTD% INT INT% RTG SCK SCK% nYPA RA RY YPR Long RTD PTS FL
Jared Goff DET QB 18 413 579 71.3% 4942 12.0 8.5 7 2 38 6.6% 15 2.6% 108.2 33 5.4% 7.7 36 63 1.8 10 0 6 1
Joe Burrow CIN QB 17 460 652 70.6% 4918 10.7 7.5 7 2 43 6.6% 9 1.4% 108.5 48 6.9% 6.6 42 201 4.8 47 2 12 5
Baker Mayfield TBB QB 18 422 588 71.8% 4685 11.1 8.0 6 0 43 7.3% 16 2.7% 108.1 41 6.5% 7.1 67 401 6.0 28 3 18 3
Patrick Mahomes KCC QB 20 447 664 67.3% 4607 10.3 6.9 3 0 31 4.7% 13 2.0% 94.5 47 6.6% 6.1 80 389 4.9 33 4 24 2
Lamar Jackson BAL QB 19 350 520 67.3% 4601 13.1 8.8 2 0 45 8.7% 5 1.0% 119.9 26 4.8% 8.1 160 1035 6.5 48 4 26 6
Sam Darnold SEA QB 18 386 585 66.0% 4564 11.8 7.8 3 0 36 6.2% 13 2.2% 100.8 57 8.9% 6.4 71 231 3.3 19 1 6 5
Jayden Daniels WAS QB 20 406 594 68.4% 4390 10.8 7.4 1 0 30 5.1% 10 1.7% 99.7 51 7.9% 6.4 183 1026 5.6 46 7 44 0
Josh Allen BUF QB 20 365 565 64.6% 4367 12.0 7.7 3 0 32 5.7% 6 1.1% 102.6 19 3.3% 7.3 131 636 4.9 30 14 90 2
Geno Smith LVR QB 17 407 578 70.4% 4320 10.6 7.5 5 0 21 3.6% 15 2.6% 93.2 50 8.0% 6.3 53 272 5.1 34 2 12 0
Matthew Stafford LAR QB 19 385 588 65.5% 4295 11.2 7.3 3 0 24 4.1% 8 1.4% 95.0 35 5.6% 6.5 34 45 1.3 15 0 0 3
C.J. Stroud HOU QB 19 377 593 63.6% 4254 11.3 7.2 2 0 21 3.5% 13 2.2% 87.6 63 9.6% 5.7 64 317 5.0 28 0 0 4
Justin Herbert LAC QB 18 346 536 64.6% 4112 11.9 7.7 2 0 24 4.5% 7 1.3% 97.3 45 7.7% 6.6 69 306 4.4 41 2 12 2
Bo Nix DEN QB 18 389 589 66.0% 3919 10.1 6.7 2 0 30 5.1% 12 2.0% 93.3 26 4.2% 6.0 96 473 4.9 32 4 30 0

Every position, every season, every split. StatSharp houses two decades of player data—QBs, RBs, WR/TEs, defenders, return specialists, kickers, and punters alike. No more stitching together half-complete spreadsheets or hopping between sites.

Instant filters and custom views. Want to know how a quarterback performs on the road against conference foes only? Filter by away games + conference and StatSharp regenerates the leaderboard in a click. Need a running back’s production in playoff contests? Select playoffs and the numbers adjust on the fly. You can refine by:

  • Teams, conferences, or divisions
  • Game type (regular season, postseason, preseason)
  • Venue (home/away/neutral)
  • Date ranges (single year or multi-season sample)

Sortable leaderboards. Every stat column functions like a toggle switch: click once for ascending, again for descending. In seconds, you can answer questions such as:

  • Who led college football in rushing yards per carry over the last three seasons?
  • Which NFL kicker owns the highest FG% on 50-plus-yard attempts since 2015?
  • Which linebackers recorded double-digit tackles most frequently in 2024 road games?

The result: a research hub that serves both long-term trend hunters and last-minute prop bettors.

Turn Data into Winning Bets

Spread & Totals Bettors

StatSharp lets you quantify mismatches—the lifeblood of point-spread handicapping. Compare home/road splits for offensive lines, red-zone efficiency of quarterbacks, or explosive-play rates for running backs. If a visiting team’s QB rating nosedives outdoors and the forecast calls for swirling wind, that nugget supports a potential fade or an under bet.

Player-Prop Punters

Props often hinge on micro-matchups—target share in the slot, carry percentage inside the 5, sack rates vs. blitz-heavy defenses. With StatSharp you can create that exact slice of history—say, RB goal-line carries in cold-weather games—and see how often the player cleared a certain threshold. Your projection gains statistical teeth, and you gain the conviction to fire (or pass) on a line.

Bankable Trends

Because the archive stretches back 20+ seasons, you can validate angles over big samples. For instance, test whether dual-threat QBs historically cover more often as road dogs, or whether high-volume slot receivers crush receptions props against specific zone schemes. If the data confirms it, you’ve got a repeatable edge.

DFS Players: From Sleeper-Hunting to Lineup Locks

 Dallas - 2024 All Games Receiver Statistics
  Receiving Stats Red Zone Targets Rushing Stats  
Player
Pos
TGT REC YDS YPC YPT Long >100 >150 TD RZ IN 10 IN 5 ATT YDS YPR Long TD PTS FUM FL
CeeDee Lamb
WR
153 101 1194 11.8 7.8 65 3 0 6 18 3 1 14 70 5.0 18 0 38 1 1
Jake Ferguson
TE
86 59 494 8.4 5.7 27 0 0 0 6 3 1 0 0 0.0 0 0 0 4 2
Jalen Tolbert
WR
79 49 610 12.4 7.7 48 0 0 7 13 7 4 0 0 0.0 0 0 42 0 0
KaVontae Turpin
WR
52 31 420 13.5 8.1 64 0 0 2 7 2 2 16 92 5.8 16 0 24 3 1
Luke Schoonmaker
TE
36 27 241 8.9 6.7 24 0 0 1 1 0 0 0 0 0.0 0 0 6 0 0
 Philadelphia - 2024 All Games Receiver Statistics
  Receiving Stats Red Zone Targets Rushing Stats  
Player
Pos
TGT REC YDS YPC YPT Long >100 >150 TD RZ IN 10 IN 5 ATT YDS YPR Long TD PTS FUM FL
DeVonta Smith
WR
107 84 1023 12.2 9.6 49 2 0 9 12 5 1 1 1 1.0 1 0 54 0 0
A.J. Brown
WR
120 79 1242 15.7 10.4 67 5 0 9 15 6 3 0 0 0.0 0 0 54 0 0
Dallas Goedert
TE
72 59 711 12.1 9.9 61 1 1 3 9 3 1 2 13 6.5 9 0 18 2 0
Grant Calcaterra
TE
31 25 302 12.1 9.7 34 0 0 1 2 1 1 0 0 0.0 0 0 6 0 0
Jahan Dotson
WR
40 22 269 12.2 6.7 36 0 0 1 3 0 0 1 13 13.0 13 0 6 0 0

Spot Undervalued Gems

Sort WRs by yards per route run over the last four games, but only in home contests. Maybe a $4,200 DFS receiver ranks top-five in efficiency but hasn’t scored yet. You’ve just unearthed a leverage play almost no one else will roster.

Confirm Matchup Green Lights

Use the Game Matchup tool (more below) to see that the opponent allows the league’s highest YAC to tight ends. Combine that with your TE’s red-zone target rate and salary, and suddenly a mid-priced option becomes a core lineup piece.

React to Late-Breaking News

Depth-chart visuals show every active contributor plus injury tags. If a starting RB is downgraded to out on Sunday morning, you can verify the backup’s prior usage—snaps, touches, pass-blocking grade—in seconds and pivot before the field.

Game Matchup Player Stats: Your Two-Team Scouting Report

Imagine a page that lines up both squads, position by position, with season-to-date—and situation-specific—stats side by side.

  1. Side-by-Side Comparisons
    Passing yards, sack rate, passer rating? Quarterbacks face off in the same row.
    Yards after contact, explosive run %? Running backs compared row by row.
    FG range, XP accuracy? Kickers, too.
  2. Color-Coded Strengths & Weaknesses
    Green cells flag above-average metrics; red cells signal lagging performance. Bettors instantly see where one side holds a tangible edge—critical for totals or first-half bets—while DFS players spot attack points.
  3. Interactive Depth Charts
    Toggle filters for last four games, games vs. current division, or home/road splits. Watch the table update to reveal recent surges, slumps, or trend-proof consistency.
  4. Context Filters
    Games at current location shows how players perform in the exact stadium environment. Regular-season only removes postseason outliers, and playoffs only isolates pressure situations. Tailor every view to mirror the upcoming game script.

Together, these elements form a pre-game cheat sheet. In two minutes you’ll confirm (or expose) narratives about pass-rush mismatches, red-zone dominance, or backfield timeshares—narratives that sportsbooks sometimes price inefficiently.

Special-Teams & Defensive Data Few Sites Provide

Kicker performance often decides spreads of three or less; punter net average can swing field position; return TDs flip scoreboard momentum. StatSharp treats those edges with the same rigor as skill-position stats:

  • Kickers: FG attempts by distance, indoor/outdoor splits, clutch-kick percentage.
  • Punters: Gross vs. net average, inside-20 rate, return yards allowed.
  • Returners: Yards per return, fair-catch frequency, muff rate.

Pair those with defensive metrics—QB pressures, missed-tackle % by linebacker unit, opponent QB rating when blitzing—and you’re evaluating entire teams, not just stars.

Power Features at a Glance

Feature Why It Wins Bets & DFS Contests
Custom Filters (team, conference, game type) Craft hyper-specific trends—from SEC road games in November to AFC playoff contests—then act on them.
Sortable Stat Columns Build instant leaderboards for any metric: rushing TDs, pass-deflection rate, 50-yard FG %.
20+ Years of Data Validate trends with historic samples; understand modern stats in context.
Game Matchup Dashboard Spot mismatches and confirm strengths/weaknesses in one color-coded view.
Depth-Chart Visuals Know who’s truly contributing, who’s injured, and who’s next up for volume.

How to Put StatSharp to Work—Today

  1. Create Your Account at StatSharp.com and head straight to the “Player Statistics” tab for NFL or NCAAF.
  2. Pick Your Season & Filters—say, 2024 regular-season road games. Sort rushing attempts to see bell-cow RBs on the slate.
  3. Open the Game Matchup Page for your target contest. Study which side’s receivers own the YAC edge or whose pass rush is more disruptive.
  4. Cross-Reference Injury Tags to spot late value plays in DFS or adjust prop projections.
  5. Place Your Bet or Set Your Lineup with the confidence of a wall-to-wall data audit backing every decision.

Bottom Line: Sharper Data, Sharper Decisions, Sharper Profits

StatSharp’s football player-stats rollout isn’t just a new tab—it’s a fully integrated analytics suite engineered for bettors and DFS grinders. By merging a 20-year stats vault with real-time matchup visuals and precision filters, StatSharp turns overwhelming information into on-demand insight.

Spread bettors quantify mismatches; prop bettors project outcomes down to the yard or reception; DFS players identify value before salaries adjust. In a market where every half-point and fractional percentile matters, those edges stack up—week after week, season after season.

Ready to trade guesswork for data-driven clarity? Join StatSharp today and put football’s most complete player-stat system to work for your wallet and your fantasy trophy case.

StatSharp.com—where sharp bettors and savvy DFS players get their stats.