Advanced MLB predictions powered by WAR, xFIP, wOBA, and cutting-edge sabermetrics. Statistical analysis built for anyone who trusts the numbers over narratives.
Data-driven analysis of the WBC's impact on the 2026 MLB season. Pitcher workloads, player performance projections, and how international tournament play affects regular season outcomes.
A run-environment projection isolates one lineup at a time. The model reads Cleveland and Texas as team total unders behind Shane McClanahan and Bryce Miller, backs the Cardinals and a Giants first five, and flags the Athletics-Twins as its lone over.
Bailey Ober owns a 2.68 ERA at Target Field and a 6.90 ERA away from it. The venue-weighted model rebuilds four July 22 prices from the split instead of the blend: Guardians -137, Rays +106, Yankees -170 in the doubleheader nightcap, and Marlins-Astros under 8.
Drew Rasmussen walks 1.54 men per nine innings and Kendry Rojas walks 7.45. The model builds every projection on that spread, then prices the Dodgers-Phillies under 9, the Guardians, the Yankees, the Red Sox and four more.
A streak-discounting model read for July 20: Jacob Misiorowski's 0.76 WHIP powers the Brewers at -190, Dylan Cease and Nick Martinez compress the Rays-Blue Jays under 7.5, and the Red Sox team total under fades a 13-game win streak the offense did not build.
A split-adjusted model read for July 19: Eduardo Rodriguez's 1.89 home ERA caps the Cardinals team total under 4.5, Foster Griffin's 0.93 road WHIP powers the Nationals moneyline against a 1-9 Athletics club, and the Giants-Mariners under 7.5 leans on the T-Mobile Park run environment.
A run-suppression model read: Max Meyer caps the Brewers under 4.5, Tarik Skubal's 0.95 WHIP caps the Angels under 3.5, plus a Cardinals-Diamondbacks under 9 and a Giants run line at Seattle.
The engine projects 9.27 combined runs in the Bronx against a posted total of 9, and the card is on the under anyway. Why the rolling offense rollups went stale over the All-Star break, and the season-long run prevention inputs behind the under 9 at +100 and the Guardians moneyline at -122.
The model projects 6.06 combined runs for Wheeler against Skubal under a market 7, hangs a 3.64 on the Athletics under a 4.5 team total, and finds a 2.2-run projection gap at Petco Park.
The team total engine's Saturday outputs: Arizona under 3.5 against Yamamoto's 0.88 WHIP and .190 opponent average, the Tigers under 3.5 as a regression play one night after Detroit scored ten, the Yankees at -191 behind Cam Schlittler against an opener, and six unders ranked by distribution width.
A run-prevention model for July 10 where Shohei Ohtani and Eduardo Rodriguez combine for a 4.04 ERA to drive the Diamondbacks-Dodgers under 8.5, and a 2.19-run ERA gap over Luis Castillo projects the Tampa Bay Rays moneyline.
Bryce Miller's 0.66 WHIP drives the Marlins team total under 3.5, and a 2.46-run starter ERA gap projects the Tigers moneyline on the July 9 model board.
The run-environment model's top output on July 8 is the Giants-Blue Jays under 7 as Dylan Cease and Logan Webb suppress the run distribution at Oracle Park, plus the Twins team total under 4.5, the Yankees-Rays under 7, the Brewers moneyline, and the Nationals team total over as the lone positive-environment read.
The July 7 model board reads the Phillies-Reds under 9 as the cleanest number on the slate behind Zack Wheeler's 2.36 ERA and 0.94 WHIP, with the Dodgers run line and the Angels and Athletics team-total unders as the supporting core.
A run equation model card for July 6: a 2.95-run Sanchez-Cameron ERA gap fuels the Phillies moneyline, Freeland's 7.25 ERA opposes the Dodgers, six outputs ranked by edge.
The July 5, 2026 board read through a two-sided run equation, pitcher traffic times lineup conversion: the card's two lowest WHIP arms collide in Seattle, a Coors team total priced two runs above the scoring data, and a win probability built on a 4.46-run ERA gap.
A run-distribution model card for the July 4 board built on WHIP and strikeout rate: the Padres team total under 3.5 behind Yoshinobu Yamamoto and a 0.89 WHIP, the Brewers win probability behind the lowest WHIP on the slate, the Mets team total under against Chris Sale, the Dodgers run line, the Rays-Astros under at plus money, and a high-variance Coors output, ranked by projected edge.
A run-distribution model card for the July 3, 2026 board: the Padres-Dodgers under 8 behind Ohtani's 0.90 WHIP, the Astros team total under 4.5 behind Nick Martinez, the Rays win probability, and a high-variance Sacramento over, ranked by projected edge.
A data-scientist model breakdown for the July 2 board: two margin-of-victory run lines on the Dodgers and Mariners, the Padres and White Sox team total unders, a Guardians win probability, and a Tigers-Rangers first-inning no-run model, ranked by projected edge.
A data-scientist model card for July 1 built on strikeout rate, WHIP and park factor: the Phillies-Pirates under 8 behind two sub-1.00 WHIP aces, the Pirates and Phillies team total unders, the Marlins moneyline at Coors, and the Braves and Rays edges ranked by projection.
A June 30 model card read through strikeout rate and run distribution: a two-ace Tigers-Yankees under, the Angels and Pirates team total unders, and the Dodgers and Brewers moneylines ranked by projected edge.
A June 29 board read through run distribution: the Rangers and Dodgers team total unders, the Red Sox over, the Mariners run line, and three home moneylines ranked by projected edge.
June 28, 2026 MLB model breakdown: three run-prevention unders, two team total unders, two overs, and a Brewers moneyline at -155, read through run environment.
A projection model built on park factor, ground-ball rate and run expectancy: the Braves team total under 3.5 and Giants win probability behind Logan Webb at Oracle, a Mariners Guardians under 7.5, and a Padres under at Petco.
A projection model built on strikeout rate, WHIP and park factor: the Cubs team total under 2.5 behind Jacob Misiorowski's league-best 0.75 WHIP, the Padres under 3.5 at Petco, and a Mariners Guardians under 7.5.
A run-suppression projection model for the June 25 board. The Red Sox team total under 3.5 behind Cam Schlittler's 1.71 ERA and 10.33 K/9, the Nationals under 3.5 behind Cristopher Sanchez's 1.09 WHIP, the Astros Tigers under 9 on Troy Melton's 0.947 WHIP, and the moneyline outputs sorted by projected edge and variance.
A run-prevention projection model for the June 24 board built on strikeout rate, opponent average and park factors: the Twins team total under behind Ohtani's 1.47 ERA, the Orioles under behind Soriano, and the Guardians edge.
A projection model built on strikeout rate and weak-contact suppression for the June 23 board: the Guardians moneyline behind Parker Messick, the Astros Blue Jays under, the Giants Athletics under, and a White Sox team total under.
A strikeout-rate projection model for the June 22 board built on starter K rate and contact suppression: the Guardians White Sox under behind Gavin Williams' 27.9 percent strikeout rate, the Brewers and Yankees win-probability edges, and the Astros Blue Jays plus-money under.
A June 21 board where the run distribution leans up: the Athletics Angels over 9 for 2.5 units behind Jack Perkins' 6.15 ERA and a wind-aided Sutter Health Park, plus the St. Louis Cardinals moneyline tracked at 1 unit through a WHIP and roster gap on Dustin May at Kauffman Stadium.
A June 20 board where the starter term beats the lineup and the park: the Rockies team total under 4.5 behind Paul Skenes at Coors Field for 3 units, the Orioles team total under 3.5 against Yoshinobu Yamamoto's 0.84 WHIP for 2.5 units, and the Brewers Braves first five innings under 3.5 behind Kyle Harrison and Chris Sale for 2.5 units.
Padres team total under 3.5 at -150 for 2.5 units. The worst offense in the National League at .218 and a .652 OPS meets Jacob deGrom's 0.99 WHIP and 10.45 strikeouts per nine at Globe Life Field. When the hitting term is low and the suppression term is high, the projected run distribution collapses below the line.
A run-prevention projection for the June 18 board built on starter strikeout rate and contact suppression. The Guardians Brewers under 7.5 behind Parker Messick's 44 percent changeup whiff rate against a hot Milwaukee bat, the Red Sox team total under 4.5 as the lowest-variance output, and the Mariners moneyline read through a WHIP gap.
A pitching-anchored total projection for Fenway. Dylan Cease brings the AL's best strikeout rate at a 2.91 ERA, Payton Tolle counters at 2.70, and the model takes the Under 7.5 over a backward-looking Blue Jays over streak. Plus the Cubs moneyline -187 behind Edward Cabrera as the secondary edge.
A run-prevention projection for the June 17 board built on starter strikeout rate and contact suppression. The Rays team total under 3.5 behind Shohei Ohtani, the Yankees win-probability edge against the White Sox, and the Tigers Astros under 8.5 read through two run-suppressing arms.
A win-probability projection for two Monday home favorites built on starting-pitcher WHIP differential. The Cubs moneyline at -210 rides a 0.84-baserunner edge for Shota Imanaga over Michael Lorenzen, the Phillies moneyline at -184 leans on Zack Wheeler's 0.85 WHIP carrying a light offense, and both clear their implied break-even.
A run-expectancy projection for a pitching-heavy Sunday board. The model stacks team total unders behind Cristopher Sanchez's 1.54 ERA and 113 strikeouts and Paul Skenes' 0.93 WHIP, reads the Cubs under through the Oracle Park run-suppression factor, and finds a 2-unit Mariners moneyline edge in Emerson Hancock's 0.95 WHIP.
The June 12 model reads four spots through run expectancy and contact quality: the Angels team total under 3.5 against Shane McClanahan's changeup and a .701-OPS lineup, the Mariners moneyline behind Bryce Miller's 0.78 WHIP over his last four starts, the Nationals under at plus money, and the Giants moneyline on the Oracle Park run-suppression factor.
The June 11 model prices the gap between a high-50s projected win probability and the 52.4 percent the -110 price implies. Three aligned inputs drive it: Martin Perez's 1.06 WHIP against Anthony Kay's 1.45, a .242-hitting White Sox lineup that does not clear a low-WHIP arm, and Atlanta's plus-114 run differential against Chicago's plus-10; -110 for 1 unit.
The June 8 model play reads Harrison's outs-recorded line a half-tick low. His last five starts logged 21, 18, and 17 outs in three of them, his 1.03 WHIP and 11.46 K/9 fingerprint clean push-able innings, and a contact-oriented Athletics lineup lets a strikeout arm work fast; over 16.5 outs at -106 for 2.5 units.
The MLBPrediction June 7 play weights recent form over season ERA: Blue Jays team total under 4.5 against Shane Baz at Rogers Centre. Toronto scores 4.07 runs per game over its last 30 with three or fewer in 15 of them, while Baz has allowed two earned runs or fewer in four straight starts including back-to-back outings of 9 and 6 strikeouts; -135 for 0.5 units.
The June 6 model card, with its work shown: how a residual LightGBM bets the gap between line and projection on the Yankees under 4.5 and Dodgers under 5.5, the Poisson strikeout method behind Ashcraft, Imai and Leiter, and why every first-inning market graded negative EV today.
The MLBPrediction June 5 play prices the altitude premium itself: Rockies team total under 5.5 at Coors Field against a Milwaukee staff with a 3.26 ERA and 9.75 strikeouts per nine. Colorado scores 4.32 runs per game on the season, the model projects 4.59 tonight, and the line demands more than a full run above their own rate; -140 for 1.5 units.
The MLBPrediction June 10 model flags two low-scoring profiles at once: Yankees / Guardians under 7.5 and Red Sox / Rays under 7.5. Parker Messick's 2.40 ERA and Drew Rasmussen's 0.92 WHIP front quality staffs against the Guardians' .688 OPS and a Red Sox club with the board's lowest power output. Both combined estimates land in the low-to-mid 6s; -105 for 2 units and -125 for 3 units.
The MLBPrediction June 9 headline play is a two-sided suppression read: Red Sox / Rays under 7.5 at Tropicana Field. Nick Martinez fronting a 37-25 Tampa Bay club against a 27-35 Boston offense pulls the combined projection into the low-to-mid 6s, beneath the line. Boston at Tampa Bay; -120 for 3 units.
The MLBPrediction June 4 play isolates one distribution: Blue Jays team total under 3.5 against Chris Sale at Truist Park. Sale's 1.99 ERA and 0.96 WHIP, fronting the league's stingiest run-prevention staff, compress Toronto's projected run column below the line. Toronto held to exactly three runs in each of the first two games of this series; -190.
The MLBPrediction June 2 play is a pitcher-suppression read: Guardians team total under 3.5 at Yankee Stadium. Cam Schlittler's 1.50 ERA compresses Cleveland's projected run distribution against a top arm, and the central estimate for the Guardians run column lands under the line. Cleveland at New York; -175 for 3 units.
The MLBPrediction June 1 play is a pitcher-suppression read: White Sox team total under 3.5 at Target Field. Joe Ryan's 2.94 ERA compresses Chicago's projected run distribution, and a neutral park adds no cheap offense, so the central estimate for the White Sox run column lands under the line. Chicago at Minnesota; -120 for 2.5 units.
The MLBPrediction June 13 read is a pair of run-prevention plays: the Dodgers moneyline -210 behind Yoshinobu Yamamoto's 0.92 WHIP against the White Sox, and the Rangers Red Sox under 7.5 behind two 3.18-ERA arms in Jacob deGrom and Ranger Suarez at Fenway Park. WHIP drives both projections. Dodgers 2 units, under 1.5 units.
The MLBPrediction May 31 play is a split-starter total read: Royals/Rangers over 7.5 at Globe Life Field. Jack Leiter's 4.75 ERA and 1.37 WHIP inflate the run environment against Michael Wacha's suppression, and the climate-controlled dome keeps the projected combined total above the line. Kansas City at Texas; -120 for 2 units.
The MLBPrediction May 30 play backs the San Diego Padres moneyline at -121 in Washington for 1.5 units. Michael King's 2.73 ERA and 1.11 WHIP, his two to one home run suppression edge over Foster Griffin, and a plus 33 run differential against a 10-17 home Nationals club anchor the run expectancy model.
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The MLBPrediction May 29 play is a starter-driven run-distribution read: Mets/Marlins First 5 Innings under 4.5 at Citi Field. Max Meyer's 2.52 ERA and Freddy Peralta's swing-and-miss profile cap the projected combined run total through five below the line. Miami at New York; -154 for 2.5 units.
The MLBPrediction May 28 play is a strikeout-rate and run-distribution read: Chicago team total under 3.5 against Paul Skenes at PNC Park. Skenes' 3.00 ERA, 65-strikeout swing-and-miss profile and a deep PNC Park run environment pull the projected Cubs total below the line in the model's central estimate. Chicago at Pittsburgh; -145 for 3 units.
The MLBPrediction May 27 play is a run-distribution read: Colorado team total under 2.5 against the Dodgers starter Shohei Ohtani at Dodger Stadium. A 0.73 ERA, 0.84 WHIP, and 54-strikeout Los Angeles arm plus a road Rockies offense that loses its Coors Field carry are the run-suppression engine. Colorado at Los Angeles; -115 for 1 unit.
The MLBPrediction May 23 card is a run-distribution play: Kansas City team total under 3.5 against George Kirby at Kauffman Stadium. Kirby's 55.2% ground-ball rate, a 20-30 Royals offense, and Kauffman's spacious outfield are the run-suppression engine. Seattle -142 / Kansas City +120; 4:10 PM EDT at Kauffman Stadium.
The MLBPrediction May 21 card is a run-distribution play: Miami team total under 3.5 against Spencer Strider at LoanDepot Park. Strider's 1.13 ERA at this venue and a .600 Marlins OPS against him are the run-suppression engine. Atlanta -136 / Miami +116; 6:40 PM EDT at LoanDepot Park.
Tigers team total under 3.5 at -107 for 2 units. Verified Cleveland Guardians at Detroit Tigers May 19, 2026 team total betting analysis with Parker Messick vs Keider Montero at Comerica Park.
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Dodgers/Padres First Five Innings under 4.5 at -138 for 2.5 units. Verified Dodgers-Padres May 18, 2026 first-five betting analysis with Yoshinobu Yamamoto vs Michael King at Petco Park.
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Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
Data-driven MLB analytics, statistical analysis, and advanced metrics.
The MLBPrediction May 17 card is a team-total projection, not a broad game preview: Philadelphia under 3.5 runs against Paul Skenes at PNC Park. Phillies 23-23, Pirates 24-22; 1:35 PM EDT at PNC Park.
The restored May 16 MLBPrediction page covers the full BaseballSim slate export: 15 simulated games, replay confidence, top hitters, top pitchers, and leverage moments.
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The May 15 model article covers Diamondbacks/Rockies over 12 at -110 for 1.5 units, with the run environment tied to Coors Field and the listed starter lines for Merrill Kelly and Kyle Freeland.
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A full handicap of Brewers ML -139 against the Padres on May 14, 2026, built around Kyle Harrison, Griffin Canning, the price, and the shape of the first six innings.
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A deep look at Dodgers team total under 4.5 against Landen Roupp and the Giants on May 14, 2026.
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A deep dive on Tigers team total under 3.5 against Nolan McLean and the Mets on May 14, 2026.
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A first-five-innings handicap of Braves F5 ML against the Cubs on May 14, 2026, modeling the Chris Sale vs Ben Brown starter window and the price.
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Long-form betting analysis for Cubs team total under 3.5 against Chris Sale and the Braves on May 14, 2026.
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Cubs/Braves under 9 at -132 for 3 units. Data-driven MLB prediction for Shota Imanaga vs JR Ritchie at Truist Park.
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Astros ML at +124 for 1 unit. Seattle visits Houston with George Kirby vs Peter Lambert, and the model finds value on the plus-money home side.
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Reds Team Total under 4.5 at -130 for 2.5 units. Cincinnati's verified .220 average and .306 OBP make five runs a demanding ask even in a hitter-friendly park.
Wacha 3-2 with a 3.05 ERA on the home bump, Burch Smith opening a Tigers bullpen day with a 70-to-90 pitch staff cap, the Kauffman cool-May run environment. Model lands the total at 7.6 projected runs against a closing 9 line.
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Run environment model lands at 2.90 projected Marlins runs against a 3.5 team total at +110. Foster Griffin's strike-and-attack changeup-first approach against the Marlins' chase-zone tendencies, loanDepot's cool-May dome-closed park compression, and the structural pressing pattern with Snelling on debut workload all push the under direction.
Run environment model lands at 3.70 projected Reds runs against a 4.5 team total at -110. Imanaga's strike-and-attack splitter-first approach against the Reds' chase-zone tendencies, Wrigley's May cool day-game park-factor compression, and the structural pressing pattern with Lowder on the mound all push the under direction.
Run environment model lands at 4.40 projected Dodgers runs against a 5.5 team total at -130. McCullers' curveball-first approach against the Dodgers' chase-zone tendencies, Daikin's day-game park-factor compression, and the structural pressing pattern with Glasnow on the mound all push the under direction.
Run environment model lands at 3.60 projected Tigers runs against a 4.5 team total. Boston deploys Jovani Moran as opener and Brayan Bello as bulk, Skubal is out with elbow surgery, and Comerica in cool May weather adds another layer of suppression. Three independent model layers all push under.
1-Atlas residual model lands at 5.62 projected Braves runs vs the 3.5 team total. Logan Gilbert's fastball velocity is down a full tick year over year, his 4.03 ERA pairs with a .365 wOBA-against vs righties, and Atlanta's right-handed core keeps the over edge intact even at T-Mobile Park.
Run environment model lands at 7.30 projected runs against a closing total of 8.0. Leiter's 4.5 percent walk rate and 96.8 mph fastball, Holton's opener role, and a 47-degree Comerica all push the under at -105 on Sunday Night Baseball.
Calibrated 4.05-run projection vs the 4.5 line, +0.45 edge. Burke's xFIP-vs-ERA gap of 1.36 runs flagging an over-performing surface ERA, Michael King's run-suppression on the home side, and the Petco Park HR factor of 77 stack the under direction at -125.
Calibrated total model on the Over 7 at -112. Rea volatility tail plus Gallen fresh-off-IL pitch cap plus stretched bullpens stack the same direction. Wrigley wind-in priced. The over case does not depend on home runs.
A 10-19 Mets offense walks into a 53-degree Citi Field night against Cade Cavalli. Peterson on the New York side. The data model lands the Mets distribution well under the 4.5 line and the price holds residual edge.
Park factor, a command-first Paddack matchup, and Yamamoto's dominance on the Miami side combine to flatten the LA scoring distribution. The model takes the Dodgers team total under 5.5 with calibrated edge.
Bibee at home, command-first contact suppression, and a Progressive Field run environment combine to flatten the Tampa Bay scoring distribution against the Guardians. Model takes the Rays team total under 3.5.
Identical 3.69-run point projection in Game 1 and Game 2 against a 4.5 line. +0.81 edge per side, prices at -115 and -125. Residual learning, per-season bias correction, and a calibrated 62.4 percent under probability on the Poisson translation.
Michael King 2.28 ERA and 1.07 WHIP versus Ryne Nelson 6.97 ERA with an xFIP closer to 4.85. Bullpens at 3.50 / 3.79 ERA. The 15.5 total is anchored to the 2023 ghost game and Saturday spillover. The calibrated projection lands at 10.5 to 11.5 runs.
Two 17-9 teams, but the xFIP gap between Colin Rea (3.57) and Roki Sasaki (5.17) is the largest on the slate. Add Chicago's 152 wRC+ over the last 14 days and the model converges on Cubs +123 as the most underpriced moneyline of April 25.
Brewers plus-money price against Tarik Skubal's Tigers with Sproat carrying favorable xFIP and bullpen leverage on the Milwaukee side. Advanced-stats breakdown of why the underdog price holds value.
Giants priced at a heavy plus-money tag against the Dodgers in San Francisco with Ohtani-Mahle dynamics and an Oracle Park run-suppression edge. Full data-model breakdown.
Roupp's profile vs Yamamoto at Oracle Park gives the Giants a sharper plus-money number than the moneyline implies. Full data-model breakdown of the underdog edge.
Two strike-first starters share one of the American League's more consistent run-suppressing parks. Park factor, bullpen coverage, and pitch-mix depth all point the model under 9 at -115.
Dylan Cease and Reid Detmers look like a run-suppressing matchup, but the model projects 8.4 combined runs once pitch-mix, xwOBA splits, park factor, and bullpen workload are priced in.
Heavy plus-money price on Colorado against Los Angeles in a Coors Field run environment that historically distorts the favorite tax. Data-model breakdown of why +231 has hidden value when the bullpen leverage swings to the home side.
Every Saturday matchup through the lens of the projection model. Expected runs, win probabilities, and the biggest edges against market prices on the board today.
Skubal's strikeout rate meets Brayan Bello's ground-ball profile at Fenway. The model finds Boston's lineup matchup advantages outweighing Detroit's ace on paper.
Cincinnati priced as a road dog at +154 against Minnesota with a starter mismatch the model reads as much closer than the moneyline implies. Park-neutral breakdown of why the underdog price is sharp.
Petco run environment + Castillo's command profile against Buehler's return arc gives the Mariners a sharper number than the market implies. Full data-model breakdown.
Connelly Early brings a 2.63 ERA and 15 strikeouts into a matchup with Simeon Woods Richardson, whose low strikeout rate and three homers allowed create Boston's clearest model edge.
The model flags Aaron Nola's 4.19 xERA against a Cubs lineup that leads the NL in walk rate. Plate discipline edge drives the win probability projection at Wrigley.
Model projects 9.2 combined runs. Perez's 9 walks in 16 IP feed a Braves lineup hitting .274 with .791 OPS and 5.63 R/G. Three double-digit scoring games at Truist in the last 2 weeks.
Model projects Dodgers at 59.8% win probability, creating +4.7% expected value at -124. Sasaki's 1.56 WHIP and 1.37 K/BB ratio face a lineup hitting .297 with 6.38 R/G.
Chris Bassitt is carrying a 14.21 ERA through two starts, Baltimore has lost seven of ten, and Logan Webb's xFIP sits nearly two full runs below his ERA. Full 15-game Saturday breakdown with a pick on every matchup.
Dustin May's 15.95 ERA is a small-sample mirage. Three independent models (xFIP adjusted, platoon split, park factor) all push St. Louis above the +124 implied probability. Jordan Walker leads MLB with five home runs. The sharpest underdog on the April 10 fifteen-game slate.
Multiple projection models converge in the 62-70% win probability range. Nolan McLean ranked #1 pitcher on Thursday's slate by ESPN projections. Arizona 1-4 on the road, cold 47-degree weather at Citi Field suppresses offensive volatility.
Ohtani's 0.00 ERA collides with an 18-strikeout debut in Toronto. The model projects 6.4 combined runs, a full run below the 7.5 total, with the visiting lineup's MLB-best .292 average creating a decisive offensive gap.
Paul Skenes at PNC Park in cold April weather against Nick Pivetta. The model projects 5.0 combined runs, a full run below the posted 6.0 total. xFIP convergence, park factor suppression, and K-rate dominance all point under.
Logan Gilbert's 6.75 ERA through two starts masks elite underlying metrics. His 2.27 xERA represents the largest ERA-xERA gap among qualified starters, suggesting sharp regression ahead.
Data-driven analysis backing Mets-Giants Under 7.5 at Oracle Park. Senga's velocity spike, Webb's 54.9% ground-ball rate, and park factor convergence.
Shota Imanaga's 7.20 ERA is noise over one start. His career 3.34 ERA and 298 K track record vs Cecconi's projected 4.38 ERA creates a clear statistical edge. Run expectancy and K% differential analysis inside.
Dylan Cease (1.69 ERA, franchise-record 12 K debut) faces Grant Taylor (4.50 ERA, converted reliever) in a massive pitching mismatch. Run expectancy modeling, K% analysis, and the statistical case for the run line.
Crochet's 2025 campaign produced 255 strikeouts, a 2.59 ERA, and a 1.05 WHIP across 205.1 innings. His 97.6 mph average fastball velocity and 5.54 K/BB ratio place him in rare statistical territory for left-handed starters. Full projection model output and velocity sustaining analysis.
Complete statistical projection analysis for all 15 Monday pitching matchups. Sasaki vs Messick at Dodger Stadium leads the slate with the widest win probability gap. Verlander aging curves, Castillo at T-Mobile Park, and early-season calibration signals.
Luzardo (2.90 FIP, 6.6% barrel rate, .285 xwOBA) vs Gore (3.74 FIP, 10.6% barrel rate, .322 xwOBA) at Citizens Bank Park. Complete Statcast contact quality breakdown and model output analysis.
Advanced metric projections for all 8 March 27 pitching matchups. Skubal vs Pivetta at Petco Park, Yamamoto vs Gallen at Dodger Stadium, and Sale vs Ragans headline the slate with park-adjusted FIP analysis.
Statistical breakdown of all 11 Opening Day pitching matchups. Four sub-2.60 ERA starters, two back-to-back Cy Young winners, and the World Series MVP all take the mound on March 26.
Tarik Skubal's 2.45 FIP and 0.89 WHIP meet Nick Pivetta's 3.49 FIP at pitcher-friendly Petco Park (runs factor 94). Full statistical breakdown of the Opening Day pitching mismatch.
Max Fried's 2.86 ERA and 3.07 FIP meet Logan Webb's 2.56 FIP and 3.10 home ERA at Oracle Park, where the HR factor sits 24% below league average. Full projection breakdown for Opening Night.
Deep statistical analysis of MLB's new ABS challenge system launching in 2026. How automated ball-strike technology impacts umpire accuracy, strikeout rates, walk rates, and what it means for totals and prop betting models.
Advanced analytics breakdown of Yoshinobu Yamamoto's dominant spring training finale: 7 K's in 5 scoreless innings vs Padres. Pitch mix data, 2025 advanced stats, and 2026 season projections.
Data-driven analysis of Rob Manfred's proposal to move the WBC to midseason. How would a mid-year international tournament impact player performance, injuries, and win totals?
Advanced analytics deep dive on Nolan McLean's meteoric rise from Mets prospect to Team USA WBC Championship starter. Statcast data, Stuff+ grades, spin rates, and 2026 MLB season projections.
Deep statistical breakdown of Venezuela's 3-2 WBC championship victory over Team USA. Pitching matchup data, bullpen usage, and why Eduardo Rodriguez's 4.1 scoreless innings changed everything.
How WBC performances, pitcher workloads, and advanced stats project into the MLB regular season for key players. Paul Skenes, Ohtani, and the data behind Venezuela's surprise run.
NPB to MLB transition projections for Team Japan's top WBC prospects. WAR estimates and advanced metrics for Itoh, Sato, Morishita, Maki, and Takahashi.
Data-driven analysis of Moreno's forearm tightness and what it means for Arizona's catching depth, projected WAR output, and offensive production behind the plate in 2026.
Data-driven breakdown of every WBC tiebreaker scenario keeping Team USA alive. Head-to-head, run differential, ERA, and batting average tiebreaker rules explained with statistical context.
Deep sabermetric analysis of Clayton Kershaw's legendary career. 2.53 ERA, 3,052 strikeouts, .699 W-L%. ERA+, FIP, WAR and advanced stats prove why he's the best left-handed pitcher in modern baseball history.
Pitch-by-pitch Statcast analysis of Roki Sasaki's cutter vs slider experiment. Spin rate data, movement profiles, proStuff+ breakdown and why the Dodgers' rotation hinges on one pitch.
Marte brings a career 30.9 fWAR and elite baserunning metrics to Kansas City. Full WAR projections, defensive range analysis, and what the advanced stats say about his fit in the Royals' lineup construction.
Advanced statistical analysis of Cooperstown-track players in the 2026 World Baseball Classic. Ohtani, Judge, Soto, Machado, and Witt Jr. career WAR trajectories and Hall of Fame probability projections through age-adjusted models.
Statistical deep dive into all 20 WBC rosters. 304 MLB players, 78 former All-Stars. Aggregate talent metrics reveal which pools are toughest and where the data says the market is mispricing contenders.
Statistical breakdown of the top 5 MLB lineups for 2026. Dodgers, Braves, Mets, Mariners, Blue Jays ranked by OPS+, wOBA, barrel rate, and projected run production.
How MLB offseason moves shifted 2026 WAR projections and projected win totals. Dodgers at 100 wins. Astros collapse to 81. Cubs surge with Bregman addition.
Three developments out of MLB camps carry real analytical weight for 2026 projections: Roki Sasaki's pitch arsenal expansion, Atlanta's compounding rotation losses with Schwellenbach on 60-day IL, and a New York Yankees slugger's elbow recovery timeline ahead of the WBC.
Houston reacquired Joey Loperfido from Toronto for Jesus Sanchez. Loperfido's 2025 slash of .333/.879 OPS in 41 games vs his .197/.236/.343 in 2024 creates a fascinating analytical question about sample size vs true talent level.
The former MVP re-signs for a third of last year's salary. His OPS+ cratered from 178 in 2022 to 100 by 2024. At $4M for a platoon role, the WAR math projects 0.5-1.0 fWAR against lefties.
Paredes' .353 wOBA against a .320 xwOBA suggests 2025 overperformance. His 87.4 mph exit velocity and 6.3% barrel rate raise questions, but plate discipline and positional versatility project 2.5-3.0 fWAR.
Free MLB projections and WAR-based analysis with public grading standards, source notes, and price-sensitivity warnings.
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