Brooke Bennett

TOP BENNETT EDGE ON Pacers +8½ -112

Our Edge: We are exploiting a market anchored to the Tyrese Haliburton injury headline by taking Indiana plus the points against a Denver team whose own numbers carry no statistical claim to an 8.5-point margin.

Statistical Edges:

• Net Rating: Denver sits at +0.1 over its last 10 games, a 115.1 offensive rating fully canceled by a 115 defensive rating.

Teams laying 8.5 are supposed to be separating from opponents.

Denver has outscored its opposition by a tenth of a point per 100 possessions.

• Turnover Rate: The Nuggets give the ball away on 16% of possessions.

Indiana runs a 101.78 pace against Denver's 98.53, and live-ball turnovers feed transition points, the cheapest offense available to a shorthanded roster.

• Secondary Creation: Pacers forward Pascal Siakam is putting up 21.3 points per game and guard Andrew Nembhard adds 19 across 33.4 minutes.

The usage bump with Haliburton sidelined flows to both.

The number asks Indiana to stay within nine, not to win.

• Defensive Rating: Indiana's 112 defensive rating over its last 10 beats Denver's 115 by three points per 100 possessions.

The team being priced for a blowout is the inferior defensive unit in this matchup.

Psychological Edges: The market is trapped by an availability heuristic.

Haliburton's hamstring is the most recallable fact in this matchup, so the line prices Indiana as though its entire offense left with him, ignoring that Siakam and Nembhard already carry starter-level scoring loads.

My framework discounts the injury narrative against the baseline: Denver has shown neither the defensive profile nor the margin profile of a team that wins by double digits.

Nuggets wing DeMar DeRozan, expected back from back spasms, has cleared 15 points once in six appearances this season.

Depth scoring decides covers of this size, and the depth case favors the dog.

EDGE ON: PACERS +8.5 (-112)

I like the Pacers

BENNETT EDGE ON Louisiana Tech -7 +100

Our Edge: We are exploiting a recency-driven mispricing on Troy, whose single road win at James Madison has anchored the market to a version of this team that the full-season numbers do not support.

Statistical Edges:

• SP+ Rating: Louisiana Tech sits at -2.6 (84th nationally) against Troy's -9.9 (108th), a 7.3-point gap on a neutral field between two Sun Belt programs the market treats as peers.

• Scoring Margin: The Bulldogs are 6-2 with a +11.7 per-game margin (32.6 points scored, 20.9 allowed), and they have tightened over their last five: 5-0 while allowing just 16 points per game, including back-to-back shutouts of Old Dominion (26-0) and UL Monroe (24-0).

• Offensive Efficiency: Troy's offense ranks 112th in SP+ and is averaging 21.8 points over its last five games while giving up 26.

That unit scored 6 at Louisiana on October 17 and 14 at home against UL Monroe a week later.

• Defensive Profile: Louisiana Tech's defense ranks 74th in SP+ against Troy's 91st, a matchup advantage on both sides of the ball for the road team.

Psychological Edges: The market is trapped by the availability heuristic.

Troy's 24-21 win at James Madison on October 29 is the most recent and most memorable result, and the ease of recalling it is crowding out the base rate: a 2-3 stretch over five games with a negative scoring margin.

My framework discounts that single-game variance against the season-long baseline, and the baseline says Troy is a bottom-30 SP+ team hosting a side that has not allowed more than 20 points in a month.

Getting a full touchdown plus the hook at even money against this profile is the gap we take.

EDGE ON: LOUISIANA TECH -7 (+100)

I like Louisiana Tech

BENNETT EDGE ON Armands Gruznovs +120

The betting market is mispricing this 160-pound catchweight bout by overvaluing Simone Patrizi's brand equity as a Cage Warriors veteran despite his alarming statistical decline.

Our Bayesian updating model recalibrates Patrizi's true win probability significantly downward following four consecutive defeats where his offensive output stalled at just 2.77 significant strikes per minute.

Public perception remains firmly anchored to Patrizi's past finish rate, creating a cognitive bias gap that completely overlooks his regression in strike differential and defensive control.

Patrizi has consistently ceded position against physical opponents, absorbing heavy volume while allowing a porous 43 percent defensive conversion rate when pushed against the fence.

Armands Gruznovs presents the exact stylistic profile to exploit these underlying flaws through aggressive positional control and relentless forward pressure.

When we evaluate schedule-adjusted efficiency metrics across recent appearances, Gruznovs holds a distinct advantage in control time ratio and total strike accuracy.

Gruznovs excels at forcing high-frequency scrambles where Patrizi's gas tank and defensive positioning routinely break down late in rounds.

The betting public is trapped in visual familiarity, pricing Patrizi based on name recognition rather than his actual empirical trajectory inside the cage.

Numbers alone never cash a ticket, but the combination of Patrizi's declining striking output and Gruznovs' superior grappling leverage creates a classic value spot.

Our quantitative modeling sets Gruznovs as the true favorite in this matchup, making his underdog line a clear mispricing by oddsmakers.

We are capitalizing on a market inefficiency where public perception fails to account for measurable athletic decline and fight flow dynamics.

EDGE ON: Armands Gruznovs ML (+120)

West Virginia/Texas Tech: BENNETT EDGE ON over 66

BENNETT EDGE ON Over 66 (-110)

Our Edge: We are exploiting a total anchored to Texas Tech's season-long defensive profile while the market underweights the West Virginia side of the equation, where games have averaged 73.2 combined points over the last five.

Statistical Edges:

• Combined scoring in West Virginia games: 73.2 points per game across their last five (33.2 scored, 40 allowed), more than seven points above this number.

Four of those five landed at 65 or more combined, and three cleared 83.

• West Virginia defense: 40 points allowed per game over the last five, a sharp deterioration from the 32.25 season figure.

The recent tape includes 52 surrendered to Arizona, 45 to Iowa State, and 42 to Cincinnati.

• Texas Tech offense: 37.8 points per game over the last five, including 53 on Arizona State and 34 on the same Arizona team that hung 52 on West Virginia.

Tech's offense alone projects to clear more than half this total.

• West Virginia offense: 35.88 points per game on the season.

Even at their softer five-game rate of 33.2, the Mountaineers' contribution plus Tech's recent output stacks past 66 without requiring an outlier.

Psychological Edges: The market is anchored to Texas Tech's 21.12 points allowed per game and the halo of a 7-1 record, pricing this total off the Red Raiders' defensive baseline.

That anchoring ignores the mechanism that actually cashes this ticket: West Virginia has stopped nobody for a month.

My framework updates on the five-game defensive trend rather than the season average, and 40 allowed is the operative input.

The lone recent under in West Virginia's profile, a 44-point game at TCU, required their only defensive stand since September.

Tech in the high 30s plus West Virginia's standard output clears this number with room.

EDGE ON: Over 66 (-110)

I like the Over

Alabama/LSU: BENNETT EDGE ON over 53

Our Edge: We are exploiting a total that is anchored to Alabama's two worst offensive performances of the season, while the full-season scoring baselines for both teams sit roughly 25 points above this number.

Statistical Edges:

• Combined scoring average: Alabama is putting up 38.25 points per game through eight games and LSU is at 40.12.

That is a combined 78.4 points of season-long production against a total of 53.

• LSU offensive form: The Tigers are averaging 40.2 points per game over their last five, including 63 on McNeese, 38 at Auburn, and 34 at Kentucky.

This is not a one-game spike, it is a sustained run.

• Alabama's ceiling: The Tide hung 56 on Mississippi State and 49 on South Carolina this season, and scored 31 on Texas A&M in their most recent outing.

The offense that showed up in those three games clears its half of this total alone.

• Alabama defensive leakage: The Tide are allowing 21.4 points per game over their last five, and the edge rush is compromised.

Kalen DeBoer said Monday on OLB Desmond Umeozulu, "He'll be hopeful later on this season, but it will be towards the very back end of the regular season".

LSU's offense gets a thinned pass rush.

Psychological Edges: The market is trapped by recency bias.

Bettors can easily recall Alabama scoring 10 at Tennessee and 17 against Georgia, and those two data points are crowding out the base rate.

Our framework discounts that variance against the 38.25-point season average, which includes 56, 49, and 31-point outputs.

The number is priced to the memory, not the math, and the gap between a 53 total and 78.4 points of combined production is the value.

EDGE ON: Over 53 (-108)

I like the Over

Panthers/Capitals: BENNETT EDGE ON under 6½

Our Edge: We are exploiting an availability-driven total by taking the Under with a Florida lineup missing its top-six engine, because 6.5 goals still prices an offense that will not dress in Washington.

Statistical Edges:

• Even-Strength Expected Goals: Florida controls a 0.54 xG share and a 0.56 Corsi share through 16 games this season.

That is elite two-way play-driving, and it suppresses chances in both directions.

• Recent Goal Suppression: The Panthers have allowed just 2.6 goals per game over their last five, a stretch that includes a 5-1 road win in Winnipeg and a 3-2 win in Chicago.

• Washington Power Play: The Capitals have generated only 6.1 expected goals and 8 power-play goals through 14 games, and Florida's penalty kill concedes a 0.12 xG share.

The special-teams path to a high-scoring night is closed.

• Lineup Attrition: Panthers centers Aleksander Barkov (injured reserve) and Anton Lundell (out), plus winger Brad Marchand (injured reserve), are all unavailable.

Panthers goalie Akira Schmid and Capitals goalie Logan Thompson are both confirmed, and Schmid draws a Washington team controlling just a 0.48 Corsi share through 14 games.

Psychological Edges: The number is being held up by the availability heuristic.

The last three meetings in this series produced 7, 8, and 9 goals, and Washington just played a 6-5 game against Dallas, so the vivid recall of goal-filled hockey between these teams crowds out the base rate.

My framework discounts that recall because it predates the current shape of this matchup: a Florida forward group stripped of Barkov, Lundell, and Marchand, and a Washington attack holding only a 0.50 overall xG share this season.

Bayesian updating against Florida's 16-game play-driving baseline, minus three top-six forwards, projects a lower-event game than the one the market remembers.

EDGE ON: Under 6.5 (-120)

I like the Under

BENNETT EDGE ON Ian Mulroy -125

Our Edge
Ian Mulroy offers immense quantitative value at -125 because market pricing suffers from severe outcome bias, overvaluing Charlie Thomson's regional fight hype while completely overlooking Thomson's structural defensive guard vulnerabilities and dangerous strike absorption profile.

Statistical Edges
• Mulroy demonstrates superior pocket mechanics and short-range punch efficiency, holding a tight defensive guard that protects his center line during high-impact exchanges where bare-knuckle damage accumulates rapidly.
• Striking tracking metrics reveal a critical flaw in Thomson’s offensive entries, as he consistently drops his lead shoulder and absorbs high-velocity counter rights at an unsustainable rate when pace ratings rise.
• Schedule-adjusted fight efficiency and Bayesian updating models tailored for bare-knuckle debuts give Mulroy a 60.5% true win probability based on strike differential, compact leverage, and counter accuracy, creating a distinct pricing gap against his 55.6% implied line.

Psychological Edges
The betting public is trapped in narrative bias, overrating Thomson's aggressive forward style while completely discounting his tactical recklessness when faced with adversity in the pocket. Market psychology consistently overvalues visible pressure and superficial momentum, failing to realize that bare-knuckle rules severely punish fighters who abandon head movement under fire. Thomson suffers from confirmation bias, believing his reckless entries will break opponents, which leaves him vulnerable to precise counter-punchers. Mulroy’s calm, analytical temperament allows him to maintain composure, exploit Thomson's cognitive urge to brawl, and land clean damage as Thomson's frustration sets in.

EDGE ON: Ian Mulroy ML (-125)

BENNETT EDGE ON Angel Bellucci -122

The fight market is mispricing Angel Bellucci at -122 due to severe recency bias and public capital chasing early line movement.

Applying Bayesian updating to schedule-adjusted striking efficiency reveals a structural edge that broad odds profiling is completely ignoring.

Bellucci carries an Elo baseline of 1523 against Tommy Brunning's 1462, reflecting a substantial quality differential across competitive ranks.

Biomechanical tracking data shows Bellucci landing 4.8 significant strikes per minute with 62% accuracy while maintaining elite perimeter distance control.

In contrast, Brunning absorbs over 4 significant strikes per minute and carries a troubling 52% takedown defense profile against technical grapplers.

Brunning enters on quick turnaround following a submission defeat, creating physiological fatigue and compromised conditioning risks.

Casual bettors are succumbing to cognitive anchoring, overvaluing Brunning's aggressive opening pace while ignoring his sharp cardio drop-offs in deeper rounds.

Bellucci excels in pace management, leveraging lateral movement and counter-striking metrics to force low-efficiency, desperate exchanges from fatigued opponents.

Market psychology creates optimal wagering windows when narrative hype suppresses an elite quantitative profile down to a near-pick-em price.

Bellucci holds the positional control advantage and output efficiency required to dictate high-leverage sequences across all fight phases.

Numbers alone never cash a ticket, but when statistical dominance meets narrative overreaction, the value becomes undeniable.

EDGE ON: ANGEL BELLUCCI ML (-122)

UL-Monroe/Arkansas State: BENNETT EDGE ON under 52½

Our Edge: We are exploiting an availability-driven mispricing by taking Under 52.5, a number anchored to Arkansas State's two recent shootouts rather than the scoring floor the full season supports.

Statistical Edges:

• Recent Game Totals: Three of Arkansas State's last five games produced combined totals of 31, 36, and 43 points, each at least nine points below this line.

Only the 56-49 loss to South Alabama (105) and the 38-32 win over Georgia State (70) cleared the number.

• SP+ Offense: Arkansas State ranks 81st nationally with a 25.4 offensive rating.

That is a mid-pack unit being priced as a weekly shootout participant, which the underlying efficiency does not support.

• SP+ Overall: The Red Wolves sit 97th in SP+ at -7.

Bottom-third programs reach 50-plus point totals through variance, not repeatable scoring efficiency, and variance is exactly what my framework discounts.

• Scoring Baseline: Arkansas State's 28.75 points per game across eight contests is inflated by the 49-point South Alabama outlier.

The median scoring output in their last five games is 23 points.

Mean versus median gaps of that size are where totals get mispriced.

Psychological Edges: The market is trapped by the availability heuristic.

The 105-point South Alabama game is the easiest Arkansas State result to recall, and ease of recall crowds out the base rate.

Bettors pricing this total are paying for the memory of one shootout while the typical Red Wolves game this season lands in the 30s and 40s.

A November Sun Belt matchup featuring a home offense ranked 81st in SP+ should not carry a number built on its single loudest result.

When the narrative is one game and the baseline is eight, we take the baseline.

EDGE ON: Under 52.5 (-108)

I like the Under

BENNETT EDGE ON Furman -4½ -110

Our Edge: We are exploiting an availability heuristic built around Northern Iowa's 106-point opener by taking Furman, whose possession-level offensive inputs through two games are superior across the board at home.

Statistical Edges:
• Adjusted Offensive Efficiency: Furman sits at 108.4 in KenPom AdjOE, 116th nationally, against Northern Iowa's 105.7 (150th).

Both teams run a near-identical 69.5 adjusted tempo, so the efficiency gap converts directly into scoreboard margin rather than getting washed out by pace.
• Perimeter Shooting and Ball Movement: Furman is hitting 38.7% from three with a 77.3% assist rate through two games.

That profile is built on shot creation, not one hot hand, and it scales against mid-major defenses.
• Free-Throw Generation: A 57.7% offensive free-throw rate paired with 76.7% shooting at the line gives Furman a margin engine that produces points even on possessions where the jumper does not fall.
• Offensive Rebounding: Furman grabs 32.3% of its own misses while holding opponents to 25.8% on the other end.

At this tempo, that extra-possession differential is worth real points over 40 minutes.

Psychological Edges: Context matters here: Furman has played two games this season, both home wins, and Northern Iowa has played one.

The market is trapped by an availability heuristic.

Northern Iowa's 106-70 opener against Cornell is the easiest result in this matchup to recall, and that single game is compressing a number that Furman's underlying inputs say should be wider.

My framework discounts a one-game scoring burst against an overmatched opponent heavily; it does not discount a free-throw rate, an assist rate, and a rebounding edge that show up on every possession.

Add home court and the efficiency gap, and the quantitative floor on Furman clears this price.

EDGE ON: FURMAN -4.5 (-110)

I like Furman

BENNETT EDGE ON Gonzaga -29½ -110

Our Edge: We are exploiting a recency anchor by laying 29.5 with Gonzaga, where the market is pricing a top-15 efficiency profile off the image of one close opener instead of the projected baseline that built the number in the first place.

Statistical Edges:
• Adjusted Offensive Efficiency: Gonzaga sits at 119.4, 11th nationally, with a 65.2% assist rate.

That is structure-driven scoring, not hero-ball variance, and it travels against overmatched defenses.
• Adjusted Tempo: 72.4 possessions per game.

A 29.5-point cover is a volume problem as much as a margin problem, and Gonzaga supplies the raw possession count to stack margin across 40 minutes.
• Free Throw Rate: a 64.2 offensive free-throw rate converted at 76.5% from the line.

Against a physically overmatched roster, the whistle keeps the scoring ticking even when field-goal variance runs cold late.
• Adjusted Efficiency Margin: 25.3, 12th in the country.

These ratings lean on projection inputs this early in the year, and the projection puts this roster in a different weight class than its opponent.

Psychological Edges: The market is trapped by the availability heuristic.

Gonzaga's only game this season is a 78-72 win over Purdue on November 2, and the ease of recalling that six-point margin against a high-major opponent crowds out the base rate.

New Mexico State has not played a game yet this season, so there is no current tape pulling the number the other way; the line is being dragged down by one memorable score.

My framework discounts a single-game update against the Bayesian prior: an 11th-ranked offense at 72 possessions, hosting a mid-major with zero games played, projects a margin well north of this number.

The Purdue score tells us about Purdue.

It tells us nothing about what this offense does to this defense.

EDGE ON: GONZAGA -29.5 (-110)

I like Gonzaga

TOP BENNETT EDGE ON Southern Indiana +9½ -110

Our Edge: We are exploiting a conference-hierarchy anchor by taking Southern Indiana +9.5, where the market is paying for Evansville's MVC label rather than an offense capable of producing double-digit separation.

Statistical Edges:

• Adjusted Offensive Efficiency: Evansville ranks 291st nationally at 98.74.

In the opening week of the 2026-27 season, that rating leans heavily on prior-season inputs, so it is a projection, not a body of results.

Teams scoring at a 291st-ranked rate do not routinely win by ten.

• Adjusted Efficiency Margin: The raw KenPom gap is Evansville at -8.59 (260th) against Southern Indiana at -13.78 (323rd).

That is roughly a five-point quality difference.

Even after a standard home-court adjustment, the math lands short of 9.5.

• Offensive Rebounding Percentage: Southern Indiana rebounds 35.56% of its own misses while holding opponents to a 21.88% offensive rebounding rate.

Extra possessions are the classic underdog cover mechanism, and USI controls both ends of the glass equation.

• Prior-Season Baseline: Evansville closed last season 1-9 over its final ten games while allowing 82.2 points per game, including a 98-64 loss at Belmont last February and an 86-60 loss at Southern Illinois.

My framework discounts a single opening-week result against that long-term baseline.

Psychological Edges: The market is trapped by anchoring, specifically to the MVC-versus-OVC conference hierarchy.

Bettors treat league membership as a proxy for quality, but the efficiency numbers show a five-point gap being priced as a nine-and-a-half-point gap.

This is also a crosstown game at the Ford Center with fan allocations for both schools, which compresses the usual road disadvantage the number implicitly charges for.

We are buying the points the narrative handed us, not forecasting a Southern Indiana win.

The dog covers because the favorite's offensive profile cannot cash a number this wide.

EDGE ON: SOUTHERN INDIANA +9.5 (-110)

I like Southern Indiana

TOP BENNETT EDGE ON Denzel Bentley -160

Market pricing on this middleweight bout presents a clear valuation gap driven by public brand bias. Denzel Bentley at -160 holds strong quantitative value against Shane Mosley Jr when filtering out narrative noise.

Bentley carries an 82 percent stoppage rate across his 22 career victories, backed by elite counter-punching precision metrics. His efficiency inside the pocket climbs significantly against aggressive pressure fighters who overextend.

Mosley required two attempts on the scale to hit the 160-pound middleweight limit, needing an extra hour to drain excess fluids. Weight-cut strain severely compromises late-round punch resistance and aerobic output under sustained pressure.

Public money is inflating Mosley due to name-recognition bias attached to his famous boxing lineage. The market is also anchored to recency bias following his stoppage win over Serhii Bohachuk.

Cognitive profiling reveals obvious look-ahead bias as Mosley spent fight week mapping out future bouts against Conor Benn and Chris Eubank Jr. Distracted fighters stepping into opponent-friendly territory routinely underperform their underlying baseline metrics.

Bayesian updating weights Bentley's home-venue advantage heavily at the Copper Box Arena in London. Domestic atmosphere and familiar ring surroundings historically boost fight-tempo control and defensive output.

Bentley's timing on mid-range counters will exploit Mosley's defensive lapses as fatigue sets in during the middle rounds. The structural metrics and physical conditioning both point toward the British fighter dominating the technical exchanges.

When quantitative efficiency aligns with acute behavioral edges, line value creates an immediate wagering opportunity. Take the proven counter-puncher over a compromised opponent fighting through weight depletion and narrative distraction.

EDGE ON: Denzel Bentley ML (-160)

TOP BENNETT EDGE ON Gornik Zabrze -205

The market is mispricing this match by overindexing on Górnik Zabrze's recent sequence of low-scoring draws while ignoring the fundamental structural gap between these two clubs.

Zabrze enters sitting second in the Ekstraklasa table with a plus-ten goal differential. Their defense has been exceptionally stout, allowing just 0.8 goals per game on 2.7 shots on target against over their last ten league fixtures.

Their schedule-adjusted defensive efficiency metrics rank in the top percentile of the league, driven by superior spatial coverage and suffocating mid-block counter-pressing.

Conversely, bottom-placed Wieczysta Kraków arrives on a four-match losing streak, sporting a minus-nine goal differential while conceding 26 goals through 13 matchdays.

Player tracking data reveals severe defensive degradation in late-game situations for the visitors, who have surrendered 12 goals after the 75th minute. Wieczysta's defensive setup generates an unsustainable expected goals against metric, leaving their back line exposed whenever opponents trigger rapid transition attacks.

Górnik's conversion profile is rock solid, winning six of seven matches in which they score first while controlling territory at home.

From a behavioral standpoint, public perception is anchoring to Górnik's recent scoreless draw against Legia Warszawa, treating a high-variance top-table match as indicative of systemic finishing issues.

This recency bias has created artificial discount on the home favorite, dampening a moneyline that Bayesian updating models project closer to minus 260 based on opponent quality and expected goal differential.

When a title-contending side with elite defensive underlying metrics hosts a bottom-tier squad suffering late-match stamina collapses, quantitative modeling and market psychology align perfectly.

EDGE ON: GORNIK ZABRZE ML (-205)

Louisiana Tech/Troy: BENNETT EDGE ON over 47½

Our Edge: We are exploiting a recency-anchored total.

The market has priced Louisiana Tech's back-to-back shutouts of Old Dominion and UL Monroe as a defensive identity, but SP+ grades both defenses in the bottom half of FBS and the combined scoring profiles clear 47.5.

Statistical Edges:

• Defensive SP+: Troy ranks 91st nationally (28.8 rating) and Louisiana Tech ranks 74th (26.8).

Neither unit grades as a true scoring suppressor, which is the entire premise a sub-48 number requires.

• Scoring Average: Louisiana Tech is producing 32.62 points per game across eight games this season.

Their own recent games show the ceiling: 63 combined points against Louisiana on October 10 and 60 combined against Army on October 3.

• Combined Game Environment: Troy's games average 47.38 total points (23 for, 24.38 against), essentially flush with this line before you add Louisiana Tech's offense, which arrives scoring nine points above Troy's season average allowed.

• Offensive Ceiling vs.

Soft Fronts: Troy hung 55 on Southern Miss on October 7, an 89-point game.

The 112th-ranked offense still produces against beatable defenses, and the 74th-ranked unit it faces Saturday qualifies.

Psychological Edges: The market is trapped by an availability heuristic.

Louisiana Tech's 26-0 and 24-0 shutouts of Old Dominion and UL Monroe are the easiest results to recall, and that ease of recall is crowding out the base rate: this same team played in 60-plus point games twice in early October against better offenses than those two.

My framework discounts the shutout stretch against the full eight-game baseline and against SP+ defensive grades that place both units outside the top 70.

When the quantitative floor of the game environment sits at the number before accounting for the better offense on the field, the over carries the value.

EDGE ON: Over 47.5 (-108)

I like the Over

Penguins/Kings: TOP BENNETT EDGE ON over 6

Our Edge: This total is anchored to a stale head-to-head history and the Kings' old defensive-identity brand, creating a gap between a flat 6 and a current goal environment both rosters are producing at a materially higher rate.

Statistical Edges:

• Goals Against Average: Pittsburgh is conceding 4.1 goals per game over its last 10, including 6 surrendered to Boston and 5 to Montreal in two of its last three outings.

That is a scoring floor for Los Angeles before the Kings' own form enters the equation.

• Goals For Average: Los Angeles is averaging 4.4 goals per game over its last 5, with outputs of 7 against San Jose, 6 against Ottawa, and 6 against the Rangers.

Three of those five games produced 9 or more combined goals.

• Power Play xGoals: The Kings have scored 10 power-play goals on 9.88 xGF through 14 games, converting exactly at expectation rather than riding variance.

They meet a Pittsburgh penalty kill holding a 0.15 xGoals percentage across 16 games, a shorthanded unit ceding nearly all of the expected-goal share while down a man.

• Combined Totals: Three of Pittsburgh's last five games reached at least 7 combined goals.

Both schedules are independently producing games that clear this number.

Psychological Edges: The market is trapped by anchoring.

The last three meetings between these clubs landed at 5, 6, and 6 total goals, and that recall keeps the number pinned at a flat 6.

My framework discounts year-old head-to-head results against the Bayesian-updated baseline: a Pittsburgh team bleeding 4.1 goals a night and a Los Angeles attack scoring 4.4 over its last five.

Expected goalies Arturs Silovs for Pittsburgh and Anton Forsberg for Los Angeles offer no stabilizing profile strong enough to override those team-level inputs.

The price taxes the over, but the anchor is a season old and the current data has moved.

EDGE ON: Over 6 (-130)

I like the Over

Delaware/Kennesaw State: TOP BENNETT EDGE ON over 56½

Our Edge: We are exploiting a total anchored to Kennesaw State's season-long scoring narrative while the market ignores two bottom-quartile defenses and Delaware's game environments, which have cleared this number in three straight.

Statistical Edges:

• SP+ Defense: Delaware ranks 125th nationally with a 34.4 defensive rating, and Kennesaw State sits 105th at 30.7.

Two defenses in the bottom 20 percent of the sport facing each other is the structural foundation of this play.

• Delaware Game Totals: The Blue Hens' last three games landed at 56, 99, and 63 combined points.

That includes a 61-38 win over Missouri State and a 35-21 road win at Western Kentucky.

Over their last five, Delaware is averaging 28.6 scored and 32.8 allowed, a 61.4-point combined environment that clears 56.5 with room.

• Kennesaw State Ceiling: The Owls just scored 44 at Middle Tennessee on October 28, their most recent outing.

A team being priced off a 23 points-per-game season average showed exactly what it can do against a soft defense, and Delaware's 125th-ranked SP+ unit qualifies.

• Delaware Offense: Delaware averages 29.12 points per game this season against the 121st-ranked SP+ offense on the other sideline, meaning Kennesaw State's 105th-ranked defense is the stronger of the two stop units in this matchup.

That is a low bar.

Psychological Edges: The market is trapped by anchoring.

Kennesaw State's 2-6 record and 23 scoring average set the reference point for this total, and bettors are discounting the 44-point performance that just happened as noise.

Our framework updates the other direction: when a struggling offense meets the 125th-ranked defense in the country, the recent data point is the signal, not the outlier.

The season average reflects a schedule that included Liberty and Jacksonville State.

This matchup does not.

EDGE ON: Over 56.5 (-112)

I like the Over