College Football Public Betting: Splits, Handle & Money Percentages
Cleatz tracks where the actual money is going on every college football game, not just how many tickets, but the handle (dollars wagered). The widget below updates every 15 minutes with live spread, total, and moneyline splits from DraftKings.
Use the Sharp Signal flags to spot games where a small percentage of bettors are driving a large percentage of the money, the classic fingerprint of sharp action.
How to Read This Page
Three numbers tell you everything about where the money is going — and where the smart money disagrees with the crowd.
Handle %
Share of total dollars wagered on a side. Follows the actual money, not the ticket count.
Bets %
Share of ticket count. How many individual bettors are on each side, regardless of bet size.
Sharp Signal
Triggered when Handle % > Bets % by a meaningful margin — bigger-dollar bettors are loading up on that side.
Example Notre Dame -20.5 with 90% of handle but only 60% of bets = a few big wagers driving the money. That’s a Sharp Signal.
CFB Public Betting · 2026-27 Season
Select week
Handle ▲ Virginia spread handle 0% → 98% NC State @ Virginia
- 98% Sun 8/9 · 9:48pm
- 97% Tue 8/4 · 9:48pm
- 98% Mon 8/3 · 9:48am
- 100% Fri 7/17 · 9:47am
- 0% Wed 6/10 · 9:47am (open)
Handle ▲ UNLV spread handle 0% → 77% Memphis @ UNLV
- 77% Mon 8/3 · 9:48am
- 100% Fri 7/17 · 9:47am
- 0% Fri 6/5 · 9:49pm (open)
Handle ▼ North Dakota State spread handle 100% → 30% Jacksonville State @ North Dakota State
- 30% Mon 8/10 · 9:48am
- 89% Sun 8/9 · 9:48pm
- 100% Fri 6/5 · 9:49pm (open)
Spread ▼ USC spread -35.5 → -38.5 San Jose State @ USC
- -38.5 Wed 8/5 · 9:48pm
- -37.5 Tue 8/4 · 9:48pm
- -38.5 Fri 7/31 · 9:48pm
- -36.5 Thu 7/30 · 9:48pm
- -35.5 Mon 6/15 · 9:48pm (open)
Spread ▼ North Dakota State spread +10 → +7 Jacksonville State @ North Dakota State
- +7 Mon 8/10 · 9:48am
- +7.5 Sun 8/9 · 9:48pm
- +7 Sun 8/9 · 9:48am
- +7.5 Thu 8/6 · 9:47pm
- +7 Wed 8/5 · 9:48pm
- +7.5 Fri 7/17 · 9:47am
- +10 Fri 6/5 · 9:49pm (open)
Handle ▲ USC spread handle 0% → 53% San Jose State @ USC
- 53% Sun 8/9 · 9:48pm
- 49% Tue 8/4 · 9:47am
- 71% Sun 8/2 · 9:49pm
- 80% Wed 7/29 · 9:48am
- 56% Tue 7/28 · 9:48pm
- 43% Tue 7/28 · 9:48am
- 79% Fri 7/24 · 9:48pm
- 0% Mon 6/15 · 9:48pm (open)
Spread ▼ UNLV spread -3.5 → -6 Memphis @ UNLV
- -6 Wed 8/5 · 9:48pm
- -5.5 Wed 7/22 · 9:48pm
- -4.5 Tue 7/21 · 9:48pm
- -3.5 Fri 6/5 · 9:49pm (open)
Spread ▼ Stanford spread -3.5 → -5.5 Hawaii @ Stanford
- -5.5 Sun 8/9 · 9:48am
- -4.5 Thu 8/6 · 9:47am
- -4 Thu 7/23 · 9:48pm
- -3.5 Tue 6/9 · 9:48pm (open)
- Sacramento State +8.5 @ Eastern Michigan 100%
- Stanford -5.5 vs. Hawaii 99%
- TCU -7.5 vs. North Carolina 98%
- Virginia -5.5 vs. NC State 98%
- Florida State +31.5 vs. New Mexico State 81%
- Under 47.5 Points North Carolina @ TCU 100%
- Over 60.5 Points San Jose State @ USC 100%
- Under 53.5 Points NC State @ Virginia 100%
- Under 47.5 Points Jacksonville State @ North Dakota State 100%
- Over 53.5 Points New Mexico State @ Florida State 100%
- Eastern Michigan -310 vs. Sacramento State 100%
- Florida State +2200 vs. New Mexico State 100%
- North Carolina +245 @ TCU 80%
- NC State +180 @ Virginia 69%
- UNLV -225 vs. Memphis 64%
| Market | Carolina | TCU |
|---|---|---|
| Kalshi | 25% | 75% |
| Sportsbooks | 28% | 72% |
| Market | State | Virginia |
|---|---|---|
| Kalshi | 35% | 65% |
| Sportsbooks | 34% | 66% |
| Market | State | Michigan |
|---|---|---|
| Kalshi | 37% | 63% |
| Sportsbooks | 27% | 73% |
| Market | Hawaii | Stanford |
|---|---|---|
| Kalshi | 36% | 64% |
| Sportsbooks | 34% | 66% |
| Market | Memphis | UNLV |
|---|---|---|
| Kalshi | 32% | 68% |
| Sportsbooks | 34% | 66% |
ML ▼ Wake Forest ML -2400 → -3600 Akron @ Wake Forest
- -3600 Wed 8/5 · 9:48pm
- -2800 Mon 7/20 · 9:47pm
- -2400 Thu 7/16 · 9:48am (open)
ML ▲ Oregon ML -4500 → -3600 Boise State @ Oregon
- -3600 Mon 7/20 · 9:47pm
- -4500 Thu 7/16 · 9:48am (open)
ML ▲ Hawaii ML -102 → +120 UNLV @ Hawaii
- +120 Tue 8/11 · 9:48pm
- +114 Mon 8/10 · 9:48pm
- +110 Wed 8/5 · 9:48pm
- +102 Thu 7/30 · 9:48pm
- -102 Tue 7/28 · 9:48pm (open)
Handle ▼ Hawaii ML handle 100% → 1% UNLV @ Hawaii
- 1% Tue 8/11 · 9:48pm
- 78% Mon 8/3 · 9:48am
- 80% Sun 8/2 · 9:49pm
- 100% Tue 7/28 · 9:48pm (open)
Handle ▲ Rutgers spread handle 0% → 93% UMass @ Rutgers
- 93% Sat 8/1 · 9:48pm
- 33% Wed 7/29 · 9:48pm
- 32% Tue 7/28 · 9:48am
- 85% Mon 7/27 · 9:48am
- 80% Sat 7/18 · 9:47am
- 0% Fri 6/19 · 9:47pm (open)
Handle ▲ James Madison ML handle 0% → 93% Liberty @ James Madison
- 93% Mon 7/27 · 9:48pm
- 87% Mon 7/27 · 9:48am
- 86% Sun 7/19 · 9:48pm
- 0% Thu 7/16 · 9:48am (open)
Handle ▼ Ole Miss spread handle 98% → 12% Louisville @ Ole Miss
- 12% Mon 8/10 · 9:48pm
- 27% Sat 8/8 · 9:47pm
- 78% Tue 8/4 · 9:48pm
- 79% Tue 8/4 · 9:47am
- 98% Fri 6/5 · 9:49pm (open)
Handle ▼ Michigan State spread handle 100% → 16% Toledo @ Michigan State
- 16% Fri 8/7 · 9:48pm
- 40% Tue 7/28 · 9:48pm
- 100% Fri 6/5 · 9:49pm (open)
- Oklahoma -41.5 vs. UTEP 100%
- USC -22.5 vs. Fresno State 100%
- Alabama -28.5 vs. East Carolina 100%
- James Madison -6 vs. Liberty 100%
- Nebraska -23.5 vs. Ohio 100%
- Over 54.5 Points UMass @ Rutgers 100%
- Over 49.5 Points Akron @ Wake Forest 100%
- Over 50.5 Points Colorado @ Georgia Tech 100%
- Over 56.5 Points UAB @ Illinois 100%
- Under 49.5 Points Toledo @ Michigan State 100%
- UMass +3000 @ Rutgers 100%
- UAB +2000 @ Illinois 100%
- Michigan State -440 vs. Toledo 100%
- Fresno State +1400 @ USC 100%
- Alabama -9000 vs. East Carolina 100%
| Market | UMass | Rutgers |
|---|---|---|
| Sportsbooks | 3% | 97% |
| Market | Akron | Forest |
|---|---|---|
| Sportsbooks | 6% | 94% |
| Market | Colorado | Tech |
|---|---|---|
| Sportsbooks | 30% | 70% |
| Market | UAB | Illinois |
|---|---|---|
| Sportsbooks | 5% | 95% |
| Market | Toledo | State |
|---|---|---|
| Sportsbooks | 22% | 78% |
| Market | FL | Stanford |
|---|---|---|
| Sportsbooks | 93% | 7% |
| Market | State | USC |
|---|---|---|
| Sportsbooks | 6% | 94% |
| Market | Carolina | Alabama |
|---|---|---|
| Sportsbooks | 4% | 96% |
| Market | Carolina | Virginia |
|---|---|---|
| Sportsbooks | 11% | 89% |
| Market | Liberty | Madison |
|---|---|---|
| Sportsbooks | 33% | 67% |
| Market | Ohio | Nebraska |
|---|---|---|
| Sportsbooks | 6% | 94% |
| Market | State | Houston |
|---|---|---|
| Sportsbooks | 10% | 90% |
| Market | OH | Pittsburgh |
|---|---|---|
| Sportsbooks | 14% | 86% |
| Market | Baylor | Auburn |
|---|---|---|
| Sportsbooks | 29% | 71% |
| Market | College | Cincinnati |
|---|---|---|
| Sportsbooks | 29% | 71% |
| Market | State | Oregon |
|---|---|---|
| Sportsbooks | 6% | 94% |
| Market | Marshall | State |
|---|---|---|
| Sportsbooks | 6% | 94% |
| Market | Tulane | Duke |
|---|---|---|
| Sportsbooks | 26% | 74% |
| Market | State | Tulsa |
|---|---|---|
| Sportsbooks | 82% | 18% |
| Market | Wyoming | State |
|---|---|---|
| Sportsbooks | 38% | 62% |
| Market | FIU | Florida |
|---|---|---|
| Sportsbooks | 21% | 79% |
| Market | Clemson | LSU |
|---|---|---|
| Kalshi | 25% | 75% |
| Sportsbooks | 25% | 75% |
| Market | UNLV | Hawaii |
|---|---|---|
| Sportsbooks | 56% | 44% |
| Market | UCLA | California |
|---|---|---|
| Sportsbooks | 50% | 50% |
| Market | Kentucky | Nevada |
|---|---|---|
| Sportsbooks | 56% | 44% |
| Market | Louisville | Miss |
|---|---|---|
| Kalshi | 30% | 70% |
| Sportsbooks | 31% | 69% |
| Market | Wisconsin | Dame |
|---|---|---|
| Kalshi | 11% | 89% |
| Sportsbooks | 9% | 91% |
| Market | SMU | State |
|---|---|---|
| Sportsbooks | 54% | 46% |
Handle ▼ Iowa spread handle 100% → 0% Iowa State @ Iowa
- 0% Sat 8/8 · 9:47pm
- 100% Wed 6/10 · 9:48pm (open)
Handle ▼ Texas spread handle 100% → 1% Ohio State @ Texas
- 1% Tue 8/11 · 9:47am
- 2% Sat 8/8 · 9:47pm
- 4% Sat 8/8 · 9:48am
- 8% Fri 8/7 · 9:47am
- 12% Tue 8/4 · 9:47am
- 100% Fri 6/5 · 9:49pm (open)
Spread ▲ Michigan spread -2.5 → -1.5 Oklahoma @ Michigan
- -1.5 Tue 8/4 · 9:48pm
- -2.5 Fri 6/5 · 9:49pm (open)
- Oregon -18.5 @ Oklahoma State 100%
- Ohio State +1.5 @ Texas 99%
- Oklahoma +1.5 @ Michigan 98%
- Iowa +11.5 vs. Iowa State 0%
- Michigan -130 vs. Oklahoma 100%
- Oregon -1050 @ Oklahoma State 100%
- Texas -118 vs. Ohio State 95%
| Market | Oklahoma | Michigan |
|---|---|---|
| Kalshi | 48% | 52% |
| Sportsbooks | 46% | 54% |
| Market | Oregon | State |
|---|---|---|
| Sportsbooks | 88% | 12% |
| Market | State | Texas |
|---|---|---|
| Kalshi | 48% | 52% |
| Sportsbooks | 48% | 52% |
- Texas Tech -13.5 vs. Houston 100%
- Texas Tech -550 vs. Houston 100%
| Market | Houston | Tech |
|---|---|---|
| Kalshi | 20% | 80% |
| Sportsbooks | 19% | 81% |
Splits via cleatz.com. 21+. Gambling problem? Call 1-800-GAMBLER.
What Is Public Betting in College Football?
Public betting refers to the wagers placed by the general betting population — recreational bettors, casual fans, and weekend players — on a given college football game. “Public betting splits” track two distinct numbers: the percentage of bets (total ticket count) and the percentage of handle (total dollars wagered) on each side of a spread, total, or moneyline.
The gap between those two numbers is where the value lives. If 80% of bettors are on Alabama but only 55% of the handle is, the bets are small and the big money is sitting on the other side. That’s the fingerprint of sharp action — and it’s the entire reason this page exists.
College football is uniquely vulnerable to public skew for four reasons:
- Saturday tradition. CFB is a once-a-week event for casual bettors. They place lottery-ticket parlays Friday night and Saturday morning, then disappear, which concentrates square money on a handful of marquee games.
- Ranked-team bias. The AP poll and CFP rankings act as a flashing “bet me” sign. The public reflexively backs ranked teams, especially top-10 favorites, regardless of price or matchup.
- ESPN narrative effect. College Gameday, primetime windows, and Heisman storylines push casual money toward whichever side has the bigger headline that week.
- Blowout-hunting parlays. Recreational bettors stack 4-team parlays of double-digit favorites, inflating the public % on every chalk on the board.
Sportsbooks know all of this and shade lines accordingly. Knowing where the public is, and where it isn’t, is the first step to finding the spots where the line has moved too far.
How to Use Public Betting Data to Make Smarter Picks
Five frameworks for turning splits into actual edges.
Fading the Public — When It Works, When It Doesn’t
Blindly betting against the public is a losing strategy. Years of pick’em data show that fading a 70%+ public side wins around 50-52% — not enough to beat the vig. Where fading actually works is at the extremes and on totals: when a side hits 80%+ of bets and the line has moved toward the public side (rare), or on overs in nationally televised primetime games where casuals stack the over by reflex. Fade selectively. The dumb-money side losing is a real edge — but only when the books haven’t already priced it in.
Following Sharp Money — Handle/Bets Divergence as the Signal
The single most useful signal on this page. When a side has a much higher handle % than bets %, you have asymmetric information: a small number of bettors are wagering large amounts. Those are professional or syndicate bettors, and they hit at a documented edge over time. Look for divergences of 15+ points (e.g. 70% handle, 50% bets). The bigger the gap, the louder the signal. Cleatz flags these with a Sharp Signal tag on every game card. Cross-reference with line movement: sharp money that also moves the line is the cleanest setup in college football betting.
Reverse Line Movement — Line Moves Against the Public
Reverse line movement (RLM) is when the spread or total moves in the opposite direction of the public bet percentage. If 75% of bets are on Georgia -7 but the line drops to Georgia -6, the book is absorbing one-sided sharp money on the other side and moving the line to chase it. Books don’t move lines against the public unless they’re forced to by big bets. RLM is one of the most studied indicators in sports betting research — it has consistently produced a small but real edge in CFB over the past decade, particularly on Saturday morning lines that close lower than they opened despite heavy public support.
Steam Moves and the Syndicate Effect
A steam move is a fast, coordinated line move across multiple sportsbooks at once — usually within minutes — driven by professional bettor syndicates hitting the same number simultaneously. Steam is louder than handle divergence because it forces every book to react. In college football, steam most often hits on Saturday morning openers and bowl-season lines, when sharp groups crash markets before recreational money arrives. If you see a CFB total drop a full point in fifteen minutes with no injury news or weather change, that’s steam. The public hasn’t seen it yet, but the line has already moved — and the closing line is usually where it ends up.
When Public + Sharp Align (Consensus Plays)
Most of the time, sharp and public money sit on opposite sides. But occasionally — maybe once or twice a Saturday — both sides agree: the public is on a team and the handle is on the same team and the line is moving with them. Counterintuitively, that’s a strong signal, not a weak one. It usually means the line opened soft and everyone with money saw it. Consensus plays don’t carry the contrarian thrill of fading the public, but they’re often the highest-confidence positions on the board. Cleatz surfaces these on individual game cards where the handle and bets percentages match within a few points on the same side as the line move.
College Football Public Betting Trends to Watch
Six evergreen patterns that show up in CFB betting splits year after year.
Ranked-Team Overbetting in Non-Conference Openers
Top-25 teams open Week 1 against directional-school underdogs and the public floods the favorite. Spreads inflate by 2-4 points off opener. Underdog +21 closes at +24. The blowout doesn’t always come — backdoor covers and rust-related sloppy starts are common in Week 1.
Home Dog Value in Conference Rivalry Games
The Iron Bowl, the Apple Cup, Bedlam-style games, anything with a trophy. Public hammers the ranked road favorite. Home dogs in rivalry games have historically covered at above-market rates because emotion, crowd noise, and motivation aren’t priced in by computer models.
Overs in Primetime SEC Matchups
CBS 3:30, ABC 7:30, SEC on ESPN primetime — the public bets the over by reflex. Casual bettors associate big-name SEC teams with offensive fireworks. The bet % on overs in primetime conference games regularly hits 70%+ regardless of the actual total or pace data.
Unders in Pace-Down Big Ten Games
Iowa, Wisconsin, Northwestern, Minnesota — slow-tempo, run-first offenses that grind clock. The public sees a 41.5 total and assumes the over is “easy.” Pace and play-count data say otherwise. These games go under at a meaningful clip, especially in November weather.
Conference Championship Line Value
SEC, Big Ten, ACC, Big 12 title games sit on neutral fields with playoff implications. Public bets the higher-ranked favorite. Sharps target the underdog — especially when the underdog has already lost to the favorite once that season (motivation skew) or when the favorite has nothing to play for above its current CFP seed.
Bowl Season Public Skew (Matchup Unfamiliarity, Motivation Gaps)
The hardest spots on the calendar to handicap and the easiest to misprice. The public bets the bigger brand and the higher-ranked team. Sharps target opt-outs, coaching changes, transfer portal departures, and motivation gaps — Group of 5 teams with everything to prove against P4 teams just trying to get home for the holidays.
CFB Betting Splits Glossary
Every term you’ll see on this page, defined in plain English. Bookmark this section — these are the words sportsbook content uses without explaining.
- Handle
- The total dollar amount wagered on a side, market, or game. Handle % on this page shows the share of those dollars on each side of the spread, total, or moneyline. Handle is money-weighted — one $10,000 bet counts the same as one hundred $100 bets.
- Bets (Ticket Count)
- The number of individual wagers placed on a side, regardless of bet size. Bets % is the share of total tickets on each side. Bets % reflects how many bettors are on a side; Handle % reflects how much money is. The gap between the two is where sharp action shows up.
- Splits
- Shorthand for the public betting percentages on a game — both bets and handle, broken out by side. “Checking the splits” means looking at where the money and the tickets are sitting on the spread, total, and moneyline before placing a bet.
- Sharp Money (Wiseguy Money)
- Wagers placed by professional or syndicate bettors who consistently beat the market. Sharp money shows up as a Handle % significantly higher than Bets % on the same side — fewer bettors, but with much bigger tickets. Sometimes called “wiseguy money” or “smart money.” Sportsbooks track sharp accounts closely and often move lines on their action alone.
- Square Money (Public Money)
- Wagers placed by recreational or casual bettors — the general public. Square money shows up as a high Bets % with a relatively low Handle % (many small bets) and tends to pile onto favorites, overs, and primetime games. “Going with the public” usually means following square money.
- Steam
- A fast, coordinated line move across multiple sportsbooks at once — usually within minutes — driven by professional betting syndicates hitting the same number simultaneously. If a CFB total drops a full point in fifteen minutes with no injury or weather news, that’s steam. “Chasing steam” means trying to bet a number before the rest of the market catches up.
- Reverse Line Movement (RLM)
- When the spread or total moves in the opposite direction of the public bet percentage. If 75% of bets are on Georgia -7 but the line drops to Georgia -6, that’s RLM — the sportsbook is absorbing one-sided sharp action on the other side and moving the line to chase it. RLM is one of the most studied edges in sports betting research.
- Consensus Pick
- The side that the majority of the betting public is on for a given market — typically defined as 60%+ of bets. A “consensus pick” page (like this one) aggregates those majority sides across every game on the board so bettors can see at a glance where the crowd is leaning.
- Fading the Public
- Betting against the side that the majority of recreational bettors are on. The theory is that sportsbooks shade lines toward popular sides, creating value on the unpopular side. In college football, fading works best at extremes (80%+ public) and on primetime overs — not as a blind rule on every game with a 60% public side.
- Line Movement
- Any change in the point spread, total, or moneyline between when a game opens and when it closes. Lines move because of three things: sharp money hitting a number, public money piling onto one side, or new information (injuries, weather, lineup changes). Tracking line movement against the public percentage is how you identify RLM and steam.
- Moneyline
- A bet on which team will win the game outright, with no point spread. Odds are expressed as -150 (favorite, bet $150 to win $100) or +200 (underdog, bet $100 to win $200). Moneyline splits show where the public is on the straight-up winner, which differs from spread splits — big-name favorites can be moneyline-heavy public sides but spread-heavy sharp sides.
- Spread
- The point handicap a sportsbook applies to make a game even-money on both sides. Alabama -14.5 means Alabama must win by 15+ to cover the spread; the opponent +14.5 wins the bet by losing by 14 or fewer, or winning outright. The spread market is where public bias is most visible — and where most sharp action lives.
- Total (Over/Under)
- A bet on the combined final score of both teams. The sportsbook posts a number (e.g., 52.5) and bettors wager whether the final combined score will go over or under that line. CFB totals are heavily influenced by public bias on primetime games — casuals reflexively bet overs — which creates value on unders when sharp money agrees.
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Frequently Asked Questions
Everything bettors ask about college football public betting splits, handle, and sharp money.
How does public betting work in college football?
Public betting tracks two numbers for every college football game: the percentage of total bets (ticket count) and the percentage of total handle (dollars wagered) on each side of the spread, total, and moneyline. Sportsbooks publish these splits — Cleatz aggregates them from DraftKings — so bettors can see where the crowd is and, more importantly, where the big money disagrees with the crowd.
Can you legally bet on college football?
Yes — college football betting is legal in more than 30 US states with operational sportsbooks, including most major markets. A handful of states (notably Oregon, New Jersey, New York, and others) restrict in-state college team betting or player props, even where general CFB wagering is allowed. You must be 21 or older in most states (18+ in New Hampshire and Wyoming) and physically located inside a state where the operator is licensed. Always check your state’s specific rules before placing a bet.
Should I bet with or against the public in CFB?
Neither strategy works on autopilot. Blindly fading public sides over 70% wins about 50-52% long-term — not enough to beat the vig. The smarter play is to use public betting percentages as one input alongside line movement, handle/bets divergence, and matchup data. The biggest edges come from spots where the handle says one thing and the bet count says another — sharp money signals — not from contrarianism for its own sake.
What does it mean to fade the public?
Fading the public means betting against the side that the majority of recreational bettors are on. The theory: sportsbooks shade lines toward popular sides to balance their books, creating value on the unpopular side. In college football, fading works best at extremes (80%+ public on one side) and on totals in nationally televised primetime games, where casual money piles onto overs by reflex. It does not work as a blind rule on every game with a 60% public side — the books have already priced that in.
How often does the public lose in college football?
Heavily public CFB sides (70%+ of bets) historically cover the spread about 48-49% of the time — slightly worse than a coin flip after vig. That gap widens at extremes: 85%+ public sides have covered closer to 46-47%, particularly on big spreads where blowout-hunting public parlays distort the percentages. The headline of “the public always loses” is overstated, but there’s a real, measurable cost to being on the popular side over a full season.
What’s the difference between handle and bets?
Bets % is the percentage of individual tickets placed on a side — count-based, doesn’t care about dollar amount. Handle % is the percentage of total dollars wagered — money-based, weighted by bet size. If 80% of bets but only 55% of handle is on Alabama, the public is on Alabama in volume but the big money — typically sharp or syndicate bettors — is on the other side. The gap between handle and bets is the most useful number on any public betting page.
Where does Cleatz get its public betting data?
Cleatz aggregates college football public betting splits from DraftKings Sportsbook’s published handle and bets percentages, refreshed every 15 minutes. DraftKings is one of the largest US sportsbooks by handle, which makes its splits a strong proxy for overall market activity. We do not estimate, model, or project public percentages — every number shown is sourced directly from the book.
How often is this page updated?
Public betting splits on this page refresh every 15 minutes. Sharp Signal flags and the “biggest sharp signal today” callout update on the same cadence. During Saturday game days, expect the largest line and handle movement in the final 4-6 hours before kickoff as professional money arrives. The timestamp above the widget always reflects the last refresh.
What is a Sharp Signal?
A Sharp Signal is a Cleatz flag that triggers when a side has significantly more handle % than bets % — meaning a small number of bettors are wagering large amounts on that side. It’s the cleanest indicator of professional or syndicate action in the data. We flag any game where the gap between handle and bets exceeds 15 percentage points. The bigger the gap, the louder the signal.
What does it mean when handle and bets percentages don’t match?
A mismatch — where handle % and bets % on the same side differ by 10+ points — tells you the average bet size is different on each side. If handle % is higher than bets %, bigger bettors are on that side (a sharp money tell). If bets % is higher than handle %, more bettors are on that side but they’re betting smaller amounts (a public money tell). Matching percentages (within 3-5 points) mean public and sharp are aligned, which can itself be a confidence signal.
Jason Ziernicki is the founder of CLEATZ, where he analyzes sports betting data, public betting percentages, alt-line trends, and prediction markets across the NFL, NBA, MLB, and college sports.
He is based in Jackson Hole, Wyoming, where he routinely trades on Kalshi each month, hoping to win on weather markets like snowfall, as well as sports and politics.
His work focuses on turning sportsbook data and betting market trends into actionable insights for bettors/traders.