
3 EDGES ( 1 MLB, 2 WNBA ) are ready to go for Wednesday's games!
PREMIUM PICK STREAKS
All Sports Picks (+14064) 1256-1097 L2353 53%
Basketball Picks (+5851) 355-271 L626 57%
NBA Picks (+4027) 155-105 L260 60%
NCAA-F Picks (+3326) 90-52 L142 63%
Football Picks (+3206) 131-91 L222 59%
MLB Picks (+2281) 145-125 L270 54%
NCAA-B Picks (+2226) 110-80 L190 58%
Top NHL Picks (+2221) 115-89 L204 56%
Top Soccer Sides (+2129) 141-151 L292 48%
Top Tennis Sides (+2064) 56-40 L96 58%
Fighting Sides (+1109) 83-70 L153 54%
NFL Totals (+972) 13-3 L16 81%
Top NASCAR Sides (+792) 22-14 L36 61%
CFL Sides (+733) 28-19 L47 60%
PGA Sides (+600) 15-9 L24 63%
Top NFLX Picks (+585) 8-2 L10 80%
Top WNBA Totals (+453) 22-16 L38 58%
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The CFL market is thin, inefficient, and tailor-made for Brooke’s analytical approach.
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The WNBA is one of the softest betting markets, and Brooke exploits it with pace splits, efficiency data, and matchup psychology.
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From early-season tournaments to March Madness, Brooke Bennett’s CBB approach delivers consistent value.
Her schedule-adjusted efficiency models and deep psychological profiling help spot overvalued blue bloods and undervalued mid-majors.
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The NHL is an analytics goldmine with Corsi, expected goals, travel, and goalie rotations all driving edges.
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Brooke Bennett covers both NBA and CBB with the same analytical rigor and psychological insight, blending pro and college data into a powerful portfolio.
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The NBA is chaos with 82 games, rest management, back-to-backs, and endless public narratives.
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Baseball is a grind with 162 games of variance.
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YESTERDAY'S PLAYS
| Match Up | Pick | Rating | Score | Result | Profit | Analysis | |
|---|---|---|---|---|---|---|---|
| A Li vs Kimberly Birrell | Kimberly Birrell -140 | Top Premium | 2-1 | Loss | -140 | Show | |
TOP BENNETT EDGE ON Kimberly Birrell -140 | |||||||
| Guardians vs Brewers | Guardians +140 | Premium | 1-2 | Loss | -100 | Show | |
BENNETT EDGE ON Guardians +140 Our Edge We are exploiting a market that has overcorrected on Robert Gasser's peripherals while underpricing what Slade Cecconi has actually done against premium offenses over his last two starts. Statistical Edges • Gasser's xERA vs. ERA Gap: The Brewers' Gasser carries a 3.69 xERA against a 6.38 ERA, the exact 2.69-run spread that gets a starter overvalued by sharps reading peripherals while ignoring that his Statcast sample is only 87 plate appearances, well below the threshold where xERA stabilizes. • Cecconi Recent-Form Splits: Over his last two starts against the Yankees, Guardians starter Slade Cecconi posted a 1.64 ERA across 11 innings (3 ER, 11 K). That is a meaningful Bayesian update on a 4.83 ERA built earlier in the year. • Cecconi xERA Anchor: Cecconi's 4.48 xERA and .266 xBA sit materially below his .288 BA and .342 wOBA, indicating his surface line overstates the damage he actually allows on contact. • Implied Probability Gap: +140 prices the Guardians at 41.7% to win. A 39-33 team (.542) facing a starter with a 6.38 ERA in his most recent outing, regardless of peripherals, is not a 41.7% team in this single-game spot. Psychological Edges The market is anchored to two narratives: the José Ramírez injury and Gasser's pristine xERA. Both produce the same availability bias. The Ramírez headline is fresh and emotionally weighted, so the line treats one bat in a nine-man lineup as a season-long subtraction. Gasser's xERA gets cited as if 87 PA is a stable signal, when the Bayesian-updated read on his last month is a pitcher who allowed 13 ER across his last 18.1 innings. The price pays us to fade both anchors. EDGE ON: GUARDIANS ML (+140) I like the Guardians | |||||||
| Blue Jays vs Red Sox | Blue Jays +100 | Top Premium | 6-1 | Win | 100 | Show | |
TOP BENNETT EDGE ON Blue Jays +100 Our Edge: The market is pricing this game as a pitching mismatch, but Boston's positional vacancies and a 29-40 record are doing more damage to the home side than Red Sox starter Payton Tolle's surface ERA suggests. Statistical Edges: Toronto is the statistically better team on the season. Outcomes: Red Sox starter Payton Tolle carries a 2.70 ERA and .200 xBA, but in his last five starts he has averaged just 5.2 innings with a 5.4 K/9, well below the strikeout floor of a true front-line arm. His most recent outing went 6 IP, 9 H, 4 ER against Tampa Bay. Psychological Edges: The market is trapped by the halo effect around Tolle's 2.50 xERA. A single elite-looking number is anchoring the price, while the broader question, whether Boston can score enough behind him with a hollowed-out infield, gets discounted. Recency bias around Toronto's injury list compounds the mispricing: Casas, Story, and Gonzalez are equally absent, but Boston's losses are less salient because the names are less famous. EDGE ON: BLUE JAYS ML (+100) I like the Blue Jays | |||||||
| Toronto Tempo vs Fever | Fever -7½ -110 | Top Premium | 91-113 | Win | 100 | Show | |
TOP BENNETT EDGE ON Fever -7½ -110 Our Edge: The market has priced Indiana -7.5 on Net Rating alone and is underweighting the structural rebounding and defensive mismatch a depleted Toronto frontcourt creates against Aliyah Boston. Statistical Edges: That is not a marginal edge; that is a possession-by-possession tax on a Tempo offense missing two of its top five rotation players. Tempo -4 over L10. A 9.3-point net rating gap on a neutral floor maps cleanly to a number north of the current -7.5, before applying home-court adjustment. That is roughly 25 points and 53 minutes of rotation production the Tempo are absorbing into bench pieces averaging single-digit usage. Player tracking research consistently flags second-half defensive rotations as the first thing that erodes on short rest, and Toronto is already the league's worst defense at full strength. Psychological Edges: The market is anchored on Toronto's 88.9 PPG and the Sykes-Mabrey scoring optic, a classic halo effect where two recognizable backcourt names mask a roster that has been outrebounded 44-24 in its most recent outing. Bayesian-updated against schedule-adjusted efficiency, the Tempo's offensive number is propped up by pace (97.66), not quality. Indiana's 21% turnover rate is the bear case the public will lean on, but turnover variance against a -4 net rating opponent rarely costs more than two possessions of cover equity. EDGE ON: FEVER -7.5 (-110) I like the Fever | |||||||
| FA Siauliai vs Suduva | Suduva -162 | Top Premium | 1-2 | Win | 100 | Show | |
TOP BENNETT EDGE ON Suduva -162 | |||||||
PICKS IN PROGRESS
TOP BENNETT EDGE ON Royals +115
Our Edge: We are exploiting a price anchored to one catastrophic Avila start and a flattering Nationals record, while the underlying Statcast profile of Washington's actual starter suggests significant negative regression is overdue.
Statistical Edges:
• xERA Gap: Nationals starter Zack Littell carries a 5.32 ERA but a 6.38 xERA, meaning his run prevention has already been below average and the expected metrics say it should be worse.
Royals starter Luinder Avila posts a 6.19 ERA against a 4.83 xERA, a 1.36-run gap that flags him as the unluckier arm in this matchup.
• Expected Contact Quality: Littell is allowing a .291 xBA and .538 xSLG across 288 plate appearances, both materially worse than Avila's .236 xBA and .400 xSLG over 144 PA.
The market is pricing the surface ERAs, not the contact profile underneath.
• Recent Form Symmetry: Both starters were chased early on June 12.
Avila went 0.2 IP for 8 ER against Houston; Littell went 1.2 IP for 5 ER against Seattle.
The Avila line is treated as disqualifying, the Littell line is treated as noise.
That asymmetry is the inefficiency.
• Home Split: Washington sits 15-21 at Nationals Park despite a 38-35 overall record, undercutting the home-field premium baked into the -135 implied price on the Nationals.
Psychological Edges: The market is trapped by the availability heuristic.
Avila's 8-earned-run meltdown on June 12 is the single most retrievable data point in this matchup, and it crowds out the base rate established by his prior two starts (5 IP, 1 ER in each).
Pair that with narrative bias around Washington's winning record, and the +115 price reflects the story rather than the underlying expected-run differential, which is closer to a coin flip.
EDGE ON: ROYALS ML (+115)
I like the Royals
TOP BENNETT EDGE ON Nick Kyrgios +195
Our Edge: The market is pricing Kyrgios as a 835th-ranked retread against a top-5 seed, but the underlying inputs say this is a fatigue-fade spot on Shelton where a grass-court specialist's serve profile carries genuine win equity at +195.
Statistical Edges:
• Serve Volume: Kyrgios is averaging 10 aces per match against a 70% first-serve rate, a top-decile combination on fast surfaces and the exact profile that compresses return windows for any opponent operating on short rest.
• Shelton Surface Split: Shelton's 2026 sample reads 8-5 on clay and 0-2 on hard, with zero logged matches on grass entering this draw.
His schedule-adjusted surface baseline on a quick court is materially lower than his ranking implies.
• Recent Form Decay: Shelton is 2-3 in his last five, with three-set survivals against Giron and a R64 loss to Collignon at Roland Garros.
The world No. 5 label is a lagging indicator; the rolling form is mid-tier.
• Second-Serve Variance: Shelton wins 59.6% of second-serve points and Kyrgios wins 48.2%, but Kyrgios's first-serve win rate of 73.9% on a 70% in-rate means the second serve barely gets exposed in straightforward holds.
The gap the market is pricing assumes break opportunities that the serve geometry doesn't generate.
Psychological Edges: The +195 price is a textbook halo effect.
The market is anchoring to Shelton's No. 5 ranking and his 2026 title count, treating those labels as a stable prior while ignoring the within-week workload and the surface transition.
Recency bias is doing the rest on the Kyrgios side: the visible data is a 1-5 record clustered in early-2025 hard-court returns from injury, which the market is extrapolating onto a grass draw where his career baseline is a different player entirely.
The number prices the narrative, not the conditions.
EDGE ON: Nick Kyrgios (+195)
I like Nick Kyrgios
