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 | ||||||||||||||||||||||||||
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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
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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 |
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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.
- 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. - 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. - 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. - 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
- Create Your Account at StatSharp.com and head straight to the “Player Statistics” tab for NFL or NCAAF.
- Pick Your Season & Filters—say, 2024 regular-season road games. Sort rushing attempts to see bell-cow RBs on the slate.
- 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.
- Cross-Reference Injury Tags to spot late value plays in DFS or adjust prop projections.
- 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.